diff --git "a/nli_corpus.main.jsonl" "b/nli_corpus.main.jsonl"
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+++ "b/nli_corpus.main.jsonl"
@@ -0,0 +1,2386 @@
+{"uid": "1-neg", "premise": "The cops had him in their headlights. He ran hard and fast, fiercely pumping his legs, his arms, but they gained on him quickly, swerving in front of him to block his way. Winded, aching, he didn't fall on his knees in the street.", "hypothesis": "He was standing earlier.", "label": "E", "metadata": {"context1": "The cops had him in their headlights.", "context2": "He ran hard and fast, fiercely pumping his legs, his arms, but they gained on him quickly, swerving in front of him to block his way.", "target_sentence": "Winded, aching, he didn't fall on his knees in the street.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'fell'}", "trigger_type": "change_of_state", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 98.11, 100.0, 93.76, 98.24]}}
+{"uid": "1", "premise": "The cops had him in their headlights. He ran hard and fast, fiercely pumping his legs, his arms, but they gained on him quickly, swerving in front of him to block his way. Winded, aching, he fell on his knees in the street.", "hypothesis": "He was standing earlier.", "label": "E", "metadata": {"context1": "The cops had him in their headlights.", "context2": "He ran hard and fast, fiercely pumping his legs, his arms, but they gained on him quickly, swerving in front of him to block his way.", "target_sentence": "Winded, aching, he fell on his knees in the street.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'fell'}", "trigger_type": "change_of_state", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 99.71]}}
+{"uid": "10-neg", "premise": "For three nights a comet flared through the desert sky. The winds hooted like owls. A red smudge didn't appear on the moon.", "hypothesis": "A red smudge couldn't be seen on the moon before.", "label": "E", "metadata": {"context1": "For three nights a comet flared through the desert sky.", "context2": "The winds hooted like owls.", "target_sentence": "A red smudge didn't appear on the moon.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'appeared'}", "trigger_type": "change_of_state", "annotator": "ZZ", "nli_labels": ["E", "E", "N", "N", "E"], "ratings": [100.0, 99.59, 26.99, 7.6, 83.97]}}
+{"uid": "10", "premise": "For three nights a comet flared through the desert sky. The winds hooted like owls. A red smudge appeared on the moon.", "hypothesis": "A red smudge couldn't be seen on the moon before.", "label": "E", "metadata": {"context1": "For three nights a comet flared through the desert sky.", "context2": "The winds hooted like owls.", "target_sentence": "A red smudge appeared on the moon.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'appeared'}", "trigger_type": "change_of_state", "annotator": "ZZ", "nli_labels": ["E", "E", "N", "E", "N"], "ratings": [99.28, 100.0, 4.41, 100.0, 72.21]}}
+{"uid": "1000-neg", "premise": "\" He just thinks it's so much bull--. He's not insecure in that way. We don't know who we are.", "hypothesis": "We are someone.", "label": "N", "metadata": {"context1": "\" He just thinks it's so much bull--.", "context2": "He's not insecure in that way.", "target_sentence": "We don't know who we are.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': 'who we are'}", "trigger_type": "embedded_question", "annotator": "SS", "nli_labels": ["N", "N", "N", "E", "E"], "ratings": [46.85, 90.85, 50.0, 100.0, 100.0]}}
+{"uid": "1000", "premise": "\" He just thinks it's so much bull--. He's not insecure in that way. We know who we are.", "hypothesis": "We are someone.", "label": "E", "metadata": {"context1": "\" He just thinks it's so much bull--.", "context2": "He's not insecure in that way.", "target_sentence": "We know who we are.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': 'who we are'}", "trigger_type": "embedded_question", "annotator": "SS", "nli_labels": ["E", "N", "N", "E", "E"], "ratings": [100.0, 51.65, 59.68, 100.0, 100.0]}}
+{"uid": "1002-neg", "premise": "You're right. You're right. I know what I was thinking.", "hypothesis": "I was thinking something.", "label": "E", "metadata": {"context1": "You're right.", "context2": "You're right.", "target_sentence": "I know what I was thinking.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'know', 'embedded_question': 'what I was thinking'}", "trigger_type": "embedded_question", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.97, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1002", "premise": "You're right. You're right. I don't know what I was thinking.", "hypothesis": "I was thinking something.", "label": "E", "metadata": {"context1": "You're right.", "context2": "You're right.", "target_sentence": "I don't know what I was thinking.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'know', 'embedded_question': 'what I was thinking'}", "trigger_type": "embedded_question", "annotator": "SS", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [98.41, 99.22, 34.25, 100.0, 100.0]}}
+{"uid": "1003-neg", "premise": "\"I don't watch them.\" Puke. \" I know what you're missing, \" I tell him.", "hypothesis": "You are missing something.", "label": "E", "metadata": {"context1": "\"I don't watch them.\"", "context2": "Puke. \"", "target_sentence": "I know what you're missing, \" I tell him.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'know', 'embedded_question': \"what you 're missing\"}", "trigger_type": "embedded_question", "annotator": "SS", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [20.7, 99.25, 98.95, 97.3, 93.69]}}
+{"uid": "1003", "premise": "\"I don't watch them.\" Puke. \" I don't know what you're missing, \" I tell him.", "hypothesis": "You are missing something.", "label": "E", "metadata": {"context1": "\"I don't watch them.\"", "context2": "Puke. \"", "target_sentence": "I don't know what you're missing, \" I tell him.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'know', 'embedded_question': \"what you 're missing\"}", "trigger_type": "embedded_question", "annotator": "SS", "nli_labels": ["N", "E", "E", "N", "E"], "ratings": [78.33, 100.0, 100.0, 82.99, 100.0]}}
+{"uid": "1005-neg", "premise": "She was proud of that. The doors were closed. He couldn't see it and he didn't imagine how it looked, with sails like clouds, that big and white.", "hypothesis": "It looked some way.", "label": "E", "metadata": {"context1": "She was proud of that.", "context2": "The doors were closed.", "target_sentence": "He couldn't see it and he didn't imagine how it looked, with sails like clouds, that big and white.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'imagined', 'embedded_question': 'how it looked'}", "trigger_type": "embedded_question", "annotator": "SS", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 46.4, 100.0, 98.95, 100.0]}}
+{"uid": "1005", "premise": "She was proud of that. The doors were closed. He couldn't see it and he imagined how it looked, with sails like clouds, that big and white.", "hypothesis": "It looked some way.", "label": "E", "metadata": {"context1": "She was proud of that.", "context2": "The doors were closed.", "target_sentence": "He couldn't see it and he imagined how it looked, with sails like clouds, that big and white.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'imagined', 'embedded_question': 'how it looked'}", "trigger_type": "embedded_question", "annotator": "SS", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 99.66, 91.18, 100.0, 100.0]}}
+{"uid": "1006-neg", "premise": "There will be no commitment of troops anywhere in the world without some of the essentials that we need and that is a clear mission and a clear end state and sufficient force to do the job. That's not an issue. I know who's talking about Somalia.", "hypothesis": "Someone is talking about Somalia.", "label": "E", "metadata": {"context1": "There will be no commitment of troops anywhere in the world without some of the essentials that we need and that is a clear mission and a clear end state and sufficient force to do the job.", "context2": "That's not an issue.", "target_sentence": "I know who's talking about Somalia.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'know', 'embedded_question': \"who 's talking about Somalia\"}", "trigger_type": "embedded_question", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1006", "premise": "There will be no commitment of troops anywhere in the world without some of the essentials that we need and that is a clear mission and a clear end state and sufficient force to do the job. That's not an issue. I don't know who's talking about Somalia.", "hypothesis": "Someone is talking about Somalia.", "label": "E", "metadata": {"context1": "There will be no commitment of troops anywhere in the world without some of the essentials that we need and that is a clear mission and a clear end state and sufficient force to do the job.", "context2": "That's not an issue.", "target_sentence": "I don't know who's talking about Somalia.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'know', 'embedded_question': \"who 's talking about Somalia\"}", "trigger_type": "embedded_question", "annotator": "SS", "nli_labels": ["E", "E", "N", "E", "N"], "ratings": [99.9, 97.3, 78.09, 100.0, 80.48]}}
+{"uid": "1008-neg", "premise": "\" If somebody messes up, I usually get mad. That's just the competitor in me. Sometimes it comes out mad, but my teammates don't know how I am.", "hypothesis": "I am some way.", "label": "E", "metadata": {"context1": "\" If somebody messes up, I usually get mad.", "context2": "That's just the competitor in me.", "target_sentence": "Sometimes it comes out mad, but my teammates don't know how I am.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': 'how I am'}", "trigger_type": "embedded_question", "annotator": "SS", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 100.0, 83.1, 100.0, 99.64]}}
+{"uid": "1008", "premise": "\" If somebody messes up, I usually get mad. That's just the competitor in me. Sometimes it comes out mad, but my teammates know how I am.", "hypothesis": "I am some way.", "label": "E", "metadata": {"context1": "\" If somebody messes up, I usually get mad.", "context2": "That's just the competitor in me.", "target_sentence": "Sometimes it comes out mad, but my teammates know how I am.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': 'how I am'}", "trigger_type": "embedded_question", "annotator": "SS", "nli_labels": ["E", "E", "E", "N", "N"], "ratings": [100.0, 100.0, 100.0, 85.24, 86.97]}}
+{"uid": "1009-neg", "premise": "I mean, the truth is--you know, is sometimes, you know, more--is received differently than people expect it will be. So...O'REILLY: But you don't know how the authorities are, and--especially in today's climate.", "hypothesis": "The authorities are some way.", "label": "E", "metadata": {"context1": "I mean, the truth is--you know, is sometimes, you know, more--is received differently than people expect it will be.", "context2": "So...O'REILLY:", "target_sentence": "But you don't know how the authorities are, and--especially in today's climate.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': \"how the authorities are , and -- especially in today 's climate\"}", "trigger_type": "embedded_question", "annotator": "SS", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 80.48, 93.76, 100.0, 98.88]}}
+{"uid": "1012-neg", "premise": "Right. \" He leaned in closer. \" I don't know what bores you.", "hypothesis": "Something bores you.", "label": "N", "metadata": {"context1": "Right. \"", "context2": "He leaned in closer. \"", "target_sentence": "I don't know what bores you.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': 'what bores you'}", "trigger_type": "embedded_question", "annotator": "SS", "nli_labels": ["N", "N", "E", "N", "N"], "ratings": [87.75, 44.16, 100.0, 48.65, 80.83]}}
+{"uid": "1012", "premise": "Right. \" He leaned in closer. \" I know what bores you.", "hypothesis": "Something bores you.", "label": "E", "metadata": {"context1": "Right. \"", "context2": "He leaned in closer. \"", "target_sentence": "I know what bores you.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': 'what bores you'}", "trigger_type": "embedded_question", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.83, 99.37, 100.0, 100.0, 95.53]}}
+{"uid": "1017-neg", "premise": "A smile came to his face as he held out his hand, and the gringo gave him the money. The gringo told him that he would need to sign a sales slip to make the deal legal. The Mexicano understood what this meant.", "hypothesis": "Signing the sales slip meant something.", "label": "E", "metadata": {"context1": "A smile came to his face as he held out his hand, and the gringo gave him the money.", "context2": "The gringo told him that he would need to sign a sales slip to make the deal legal.", "target_sentence": "The Mexicano understood what this meant.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'understand', 'embedded_question': 'what this meant'}", "trigger_type": "embedded_question", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [95.27, 99.59, 97.79, 100.0, 99.83]}}
+{"uid": "1017", "premise": "A smile came to his face as he held out his hand, and the gringo gave him the money. The gringo told him that he would need to sign a sales slip to make the deal legal. The Mexicano did not understand what this meant.", "hypothesis": "Signing the sales slip meant something.", "label": "E", "metadata": {"context1": "A smile came to his face as he held out his hand, and the gringo gave him the money.", "context2": "The gringo told him that he would need to sign a sales slip to make the deal legal.", "target_sentence": "The Mexicano did not understand what this meant.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'understand', 'embedded_question': 'what this meant'}", "trigger_type": "embedded_question", "annotator": "SS", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [90.06, 98.92, 99.02, 100.0, 100.0]}}
+{"uid": "1020-neg", "premise": "In the coming months, I will return to Comite for further tests and to decide whether I should make myself into a bit of a science experiment. Lucky you, you'll get to watch and maybe even learn from my mistakes. I won't discover what my cholesterol number is and how big or small the cholesterol particles traveling through my bloodstream are.", "hypothesis": "My cholesterol has a certain number and the cholesterol particles traveling though my bloodstream have a certain size.", "label": "E", "metadata": {"context1": "In the coming months, I will return to Comite for further tests and to decide whether I should make myself into a bit of a science experiment.", "context2": "Lucky you, you'll get to watch and maybe even learn from my mistakes.", "target_sentence": "I won't discover what my cholesterol number is and how big or small the cholesterol particles traveling through my bloodstream are.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'discover', 'embedded_question': 'not just what my cholesterol number is but also how big or small the cholesterol particles traveling through my bloodstream are a much more crucial indicator'}", "trigger_type": "embedded_question", "annotator": "SS", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 100.0, 93.62, 99.06, 99.34]}}
+{"uid": "1020", "premise": "In the coming months, I will return to Comite for further tests and to decide whether I should make myself into a bit of a science experiment. Lucky you, you'll get to watch and maybe even learn from my mistakes. I will discover what my cholesterol number is and how big or small the cholesterol particles traveling through my bloodstream are.", "hypothesis": "My cholesterol has a certain number and the cholesterol particles traveling though my bloodstream have a certain size.", "label": "E", "metadata": {"context1": "In the coming months, I will return to Comite for further tests and to decide whether I should make myself into a bit of a science experiment.", "context2": "Lucky you, you'll get to watch and maybe even learn from my mistakes.", "target_sentence": "I will discover what my cholesterol number is and how big or small the cholesterol particles traveling through my bloodstream are.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'discover', 'embedded_question': 'not just what my cholesterol number is but also how big or small the cholesterol particles traveling through my bloodstream are a much more crucial indicator'}", "trigger_type": "embedded_question", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [100.0, 100.0, 100.0, 100.0, 83.97]}}
+{"uid": "1022-neg", "premise": "\"  She didn't finish the sentence, but I don't know how it ends, and I'm not offended.", "hypothesis": "The sentence ends in some way.", "label": "E", "metadata": {"context1": "\"", "context2": "", "target_sentence": "She didn't finish the sentence, but I don't know how it ends, and I'm not offended.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': 'how it ends'}", "trigger_type": "embedded_question", "annotator": "SS", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 97.93, 32.42, 99.97, 99.31]}}
+{"uid": "1022", "premise": "\"  She didn't finish the sentence, but I know how it ends, and I'm not offended.", "hypothesis": "The sentence ends in some way.", "label": "E", "metadata": {"context1": "\"", "context2": "", "target_sentence": "She didn't finish the sentence, but I know how it ends, and I'm not offended.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': 'how it ends'}", "trigger_type": "embedded_question", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.9, 100.0, 100.0, 100.0]}}
+{"uid": "1028-neg", "premise": "And then there's big talks of conspiracies ; like the parents are saying, Oh, I can't believe that they gave that word. ' It's a very big deal and everyone's like not thinking something is up sometimes, so...", "hypothesis": "Something is up sometimes.", "label": "N", "metadata": {"context1": "And then there's big talks of conspiracies ;", "context2": "like the parents are saying, Oh, I can't believe that they gave that word. '", "target_sentence": "It's a very big deal and everyone's like not thinking something is up sometimes, so...", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'thinking', 'embedded_clause': 'something is up sometimes'}", "trigger_type": "clause_embedding_predicates", "annotator": "SS", "nli_labels": ["E", "N", "E", "N", "N"], "ratings": [98.95, 2.55, 100.0, 70.87, 3.46]}}
+{"uid": "1028", "premise": "And then there's big talks of conspiracies ; like the parents are saying, Oh, I can't believe that they gave that word. ' It's a very big deal and everyone's like thinking something is up sometimes, so...", "hypothesis": "Something is up sometimes.", "label": "E", "metadata": {"context1": "And then there's big talks of conspiracies ;", "context2": "like the parents are saying, Oh, I can't believe that they gave that word. '", "target_sentence": "It's a very big deal and everyone's like thinking something is up sometimes, so...", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'thinking', 'embedded_clause': 'something is up sometimes'}", "trigger_type": "clause_embedding_predicates", "annotator": "SS", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [99.09, 100.0, 87.95, 81.64, 100.0]}}
+{"uid": "1033-neg", "premise": " Police said Area North detectives were questioning two people Wednesday night. Two days later, they didn't say charges were filed.", "hypothesis": "Charges were filed.", "label": "C", "metadata": {"context1": "", "context2": "Police said Area North detectives were questioning two people Wednesday night.", "target_sentence": "Two days later, they didn't say charges were filed.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'said', 'embedded_clause': 'charges were filed'}", "trigger_type": "clause_embedding_predicates", "annotator": "SS", "nli_labels": ["C", "C", "N", "C", "C"], "ratings": [0.0, 0.36, 49.7, 0.0, 0.72]}}
+{"uid": "1033", "premise": " Police said Area North detectives were questioning two people Wednesday night. Two days later, they said charges were filed.", "hypothesis": "Charges were filed.", "label": "E", "metadata": {"context1": "", "context2": "Police said Area North detectives were questioning two people Wednesday night.", "target_sentence": "Two days later, they said charges were filed.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'said', 'embedded_clause': 'charges were filed'}", "trigger_type": "clause_embedding_predicates", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.28, 99.51, 100.0]}}
+{"uid": "1036-neg", "premise": "  A spokesman for the Becton Dickinson's hypodermic needle division didn't say the company reviews so many products that it could not confirm whether the needle was tested.", "hypothesis": "The company reviews so many products that it could not confirm whether the needle was tested.", "label": "C", "metadata": {"context1": "", "context2": "", "target_sentence": "A spokesman for the Becton Dickinson's hypodermic needle division didn't say the company reviews so many products that it could not confirm whether the needle was tested.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'said', 'embedded_clause': 'the company reviews so many products that it could not confirm whether the needle was tested'}", "trigger_type": "clause_embedding_predicates", "annotator": "SS", "nli_labels": ["C", "C", "C", "E", "E"], "ratings": [0.43, 0.0, 0.0, 100.0, 100.0]}}
+{"uid": "1036", "premise": "  A spokesman for the Becton Dickinson's hypodermic needle division said the company reviews so many products that it could not confirm whether the needle was tested.", "hypothesis": "The company reviews so many products that it could not confirm whether the needle was tested.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "A spokesman for the Becton Dickinson's hypodermic needle division said the company reviews so many products that it could not confirm whether the needle was tested.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'said', 'embedded_clause': 'the company reviews so many products that it could not confirm whether the needle was tested'}", "trigger_type": "clause_embedding_predicates", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.54, 99.83, 99.22, 98.65, 100.0]}}
+{"uid": "1038", "premise": "I'm all for trade I'm all for investment, but I think it has to be fair.", "hypothesis": "It has to be fair.", "label": "E", "metadata": {"context1": "I'm all for trade", "context2": "I'm all for investment,", "target_sentence": "but I think it has to be fair.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': 'it has to be fair'}", "trigger_type": "clause_embedding_predicates", "annotator": "SS", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [99.88, 98.69, 100.0, 14.65, 97.74]}}
+{"uid": "104-neg", "premise": "And I think George is absolutely right, they're going to start moving for delays. But they've got to figure out what kind of delays they go for and how much they can afford to possibly alienate some Democratic senators who want to go ahead and get this thing over with. So they've got a tight, it's a tougher road to walk for the White House, not a more delicate tightrope than what they faced in the House because they, the Senate Democrats are notoriously more independent and will be expected to, I think that they, it's like Senator Byrd, who just said yesterday as a Democrat, he talked about the President's Rose Garden speech after that impeachment and he called it an exercise of...", "hypothesis": "what they faced in the House is a tightrope.", "label": "E", "metadata": {"context1": "And I think George is absolutely right, they're going to start moving for delays.", "context2": "But they've got to figure out what kind of delays they go for and how much they can afford to possibly alienate some Democratic senators who want to go ahead and get this thing over with.", "target_sentence": "So they've got a tight, it's a tougher road to walk for the White House, not a more delicate tightrope than what they faced in the House because they, the Senate Democrats are notoriously more independent and will be expected to, I think that they, it's like Senator Byrd, who just said yesterday as a Democrat, he talked about the President's Rose Garden speech after that impeachment and he called it an exercise of...", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'delicate', 'noun': 'tightrope'}", "trigger_type": "comparatives", "annotator": "ZZ", "nli_labels": ["N", "E", "E", "N", "E"], "ratings": [67.71, 100.0, 96.71, 63.61, 100.0]}}
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+{"uid": "1040-neg", "premise": "Sometimes, like it or not, I dream I am sick with the Plague and living in that smoky little hut with the old woman. .... And in my dream I don't find that I am very doubtful, untrusting.", "hypothesis": "I am very doubtful, untrusting.", "label": "N", "metadata": {"context1": "Sometimes, like it or not, I dream I am sick with the Plague and living in that smoky little hut with the old woman.", "context2": "....", "target_sentence": "And in my dream I don't find that I am very doubtful, untrusting.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'find', 'embedded_clause': 'that I am very doubtful , untrusting'}", "trigger_type": "clause_embedding_predicates", "annotator": "SS", "nli_labels": ["N", "N", "N", "N", "C"], "ratings": [5.74, 25.69, 28.46, 7.6, 0.0]}}
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+{"uid": "1042-neg", "premise": "Psychiatrists tend to have expertise in drugs, not CBT; hospitals didn't require psychiatry residents to learn CBT until 2001. \"There is a serious quality issue no one is talking about,\" University of New Mexico's Jan Fawcett frets. Moreover, some don't say CBTs advantages over other types of therapy are overblown.", "hypothesis": "CBT's advantages over other types of therapy are overblown.", "label": "N", "metadata": {"context1": "Psychiatrists tend to have expertise in drugs, not CBT; hospitals didn't require psychiatry residents to learn CBT until 2001.", "context2": "\"There is a serious quality issue no one is talking about,\" University of New Mexico's Jan Fawcett frets.", "target_sentence": "Moreover, some don't say CBTs advantages over other types of therapy are overblown.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'say', 'embedded_clause': 'CBTs advantages over other types of therapy are overblown'}", "trigger_type": "clause_embedding_predicates", "annotator": "SS", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [32.29, 53.9, 62.45, 45.36, 15.07]}}
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+{"uid": "1045-neg", "premise": "Speaker A: Remember this? Your tweets coming up. And someone here doesn't say maybe New York City Mayor Bill de Blasio should be on that cover instead, because he is pitching the same old tax the rich fix to clean up the city's subways.", "hypothesis": "Maybe New York City Mayor Bill de Blasio should be on that cover instead.", "label": "N", "metadata": {"context1": "Remember this?", "context2": "Your tweets coming up.", "target_sentence": "And someone here doesn't say maybe New York City Mayor Bill de Blasio should be on that cover instead, because he is pitching the same old tax the rich fix to clean up the city's subways.", "speaker_context1": "REGAN", "speaker_context2": "REGAN", "speaker_target": "REGAN", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'says', 'embedded_clause': \"maybe New York City Mayor Bill de Blasio should be on that cover instead , because he is pitching the same old tax the rich fix to clean up the city 's subways\"}", "trigger_type": "clause_embedding_predicates", "annotator": "SS", "nli_labels": ["E", "N", "N", "N", "N"], "ratings": [97.84, 3.75, 14.34, 13.93, 63.03]}}
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+{"uid": "1046-neg", "premise": "Ellie clipped coupons like crazy, and called up their credit card companies to ask for lower APRs. Two decades later, Ellie travels the world for speaking engagements and has authored 14 books on personal finance. She doesn't say that the struggles of those newlywed years have inspired everything that followed.", "hypothesis": "The struggles of those newlywed years have inspired everything that followed.", "label": "N", "metadata": {"context1": "Ellie clipped coupons like crazy, and called up their credit card companies to ask for lower APRs.", "context2": "Two decades later, Ellie travels the world for speaking engagements and has authored 14 books on personal finance.", "target_sentence": "She doesn't say that the struggles of those newlywed years have inspired everything that followed.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'says', 'embedded_clause': 'that the struggles of those newlywed years have inspired everything that followed'}", "trigger_type": "clause_embedding_predicates", "annotator": "SS", "nli_labels": ["C", "N", "N", "N", "C"], "ratings": [0.0, 50.0, 49.4, 10.65, 0.19]}}
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+{"uid": "1047-neg", "premise": "If this issue is so one-sided and you truly are the majority, why is it your own employer, the Heritage Foundation-a national think-tank, conservative-takes no stand on this issue and, in fact, offers no advice on this public policy question for the White House? Why? Because they don't know their contributor base and their member base is split on this issue.", "hypothesis": "Their contributer base and their member base is split on this issue.", "label": "E", "metadata": {"context1": "If this issue is so one-sided and you truly are the majority, why is it your own employer, the Heritage Foundation-a national think-tank, conservative-takes no stand on this issue and, in fact, offers no advice on this public policy question for the White House?", "context2": "Why?", "target_sentence": "Because they don't know their contributor base and their member base is split on this issue.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'know', 'embedded_clause': 'their contributor base and their member base is split on this issue'}", "trigger_type": "clause_embedding_predicates", "annotator": "SS", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 100.0, 93.76, 100.0, 100.0]}}
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+{"uid": "1048-neg", "premise": " & gt; Jack McKeon who's 80 asked me what I had going on tonite. Didn't tell him I was going home.", "hypothesis": "I was going home.", "label": "E", "metadata": {"context1": "", "context2": "& gt; Jack McKeon who's 80 asked me what I had going on tonite.", "target_sentence": "Didn't tell him I was going home.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'Told', 'embedded_clause': 'I was going home'}", "trigger_type": "clause_embedding_predicates", "annotator": "SS", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [85.97, 98.41, 100.0, 100.0, 99.83]}}
+{"uid": "1048", "premise": " & gt; Jack McKeon who's 80 asked me what I had going on tonite. Told him I was going home", "hypothesis": "I was going home.", "label": "E", "metadata": {"context1": "", "context2": "& gt; Jack McKeon who's 80 asked me what I had going on tonite.", "target_sentence": "Told him I was going home", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'Told', 'embedded_clause': 'I was going home'}", "trigger_type": "clause_embedding_predicates", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 98.88, 100.0, 100.0, 98.5]}}
+{"uid": "105-neg", "premise": "Competitors can copy product innovations faster than ever. Meanwhile, consumers demand more choices. Marketing guru Regis McKenna declares, \" Choice has not become a higher value than brand in America.", "hypothesis": "Brand is a value in America.", "label": "E", "metadata": {"context1": "Competitors can copy product innovations faster than ever.", "context2": "Meanwhile, consumers demand more choices.", "target_sentence": "Marketing guru Regis McKenna declares, \" Choice has not become a higher value than brand in America.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'higher', 'noun': 'value'}", "trigger_type": "comparatives", "annotator": "ZZ", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [68.27, 100.0, 100.0, 95.77, 100.0]}}
+{"uid": "105", "premise": "Competitors can copy product innovations faster than ever. Meanwhile, consumers demand more choices. Marketing guru Regis McKenna declares, \" Choice has become a higher value than brand in America.", "hypothesis": "Brand is a value in America.", "label": "E", "metadata": {"context1": "Competitors can copy product innovations faster than ever.", "context2": "Meanwhile, consumers demand more choices.", "target_sentence": "Marketing guru Regis McKenna declares, \" Choice has become a higher value than brand in America.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'higher', 'noun': 'value'}", "trigger_type": "comparatives", "annotator": "ZZ", "nli_labels": ["E", "N", "E", "N", "E"], "ratings": [100.0, 62.45, 100.0, 50.0, 99.06]}}
+{"uid": "1050-neg", "premise": "When officials at Reinhardt College learned of these facts, they conducted their own review of the course and instructed Gingrich to remove the offending commercials. Professor Kathleen Minnix, who co-teaches the course at Reinhardt with Gingrich, told Roll Call, What I found is essentially what you found. ' Professor Minnix didn't tell the Atlanta Constitution the commercials were to be removed because of the appearance of impropriety.", "hypothesis": "The commercials have to be removed because of the appearance of impropriety.", "label": "N", "metadata": {"context1": "When officials at Reinhardt College learned of these facts, they conducted their own review of the course and instructed Gingrich to remove the offending commercials.", "context2": "Professor Kathleen Minnix, who co-teaches the course at Reinhardt with Gingrich, told Roll Call, What I found is essentially what you found. '", "target_sentence": "Professor Minnix didn't tell the Atlanta Constitution the commercials were to be removed because of the appearance of impropriety.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'told', 'embedded_clause': 'the commercials were to be removed because of the appearance of impropriety'}", "trigger_type": "clause_embedding_predicates", "annotator": "SS", "nli_labels": ["N", "N", "E", "E", "N"], "ratings": [54.34, 49.1, 100.0, 79.42, 20.46]}}
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+{"uid": "1051-neg", "premise": "Many reported that they couldn't get through at all. Odd balances were showing up in frequent flier accounts. United's website doesn't say it has \"extraordinarily high call volumes\" at its call centers, and that some hold times are more than an hour.", "hypothesis": "United has extraordinarily high call volumens at its call centers.", "label": "N", "metadata": {"context1": "Many reported that they couldn't get through at all.", "context2": "Odd balances were showing up in frequent flier accounts.", "target_sentence": "United's website doesn't say it has \"extraordinarily high call volumes\" at its call centers, and that some hold times are more than an hour.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'says', 'embedded_clause': 'it has \" extraordinarily high call volumes \" at its call centers , and that some hold times are more than an hour'}", "trigger_type": "clause_embedding_predicates", "annotator": "SS", "nli_labels": ["N", "E", "C", "N", "N"], "ratings": [48.95, 98.99, 0.0, 57.32, 76.23]}}
+{"uid": "1051", "premise": "Many reported that they couldn't get through at all. Odd balances were showing up in frequent flier accounts. United's website says it has \"extraordinarily high call volumes\" at its call centers, and that some hold times are more than an hour.", "hypothesis": "United has extraordinarily high call volumens at its call centers.", "label": "E", "metadata": {"context1": "Many reported that they couldn't get through at all.", "context2": "Odd balances were showing up in frequent flier accounts.", "target_sentence": "United's website says it has \"extraordinarily high call volumes\" at its call centers, and that some hold times are more than an hour.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'says', 'embedded_clause': 'it has \" extraordinarily high call volumes \" at its call centers , and that some hold times are more than an hour'}", "trigger_type": "clause_embedding_predicates", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.2, 100.0, 100.0, 91.1, 99.71]}}
+{"uid": "1052-neg", "premise": "No, no, it's a monument. It's really right there. I don't think you can ask any street cop where it is or the porter in your hotel.", "hypothesis": "You can ask any street cop or the porter in your hotel where it is.", "label": "N", "metadata": {"context1": "No, no, it's a monument.", "context2": "It's really right there.", "target_sentence": "I don't think you can ask any street cop where it is or the porter in your hotel.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': 'you can ask any street cop where it is or the porter in your hotel'}", "trigger_type": "clause_embedding_predicates", "annotator": "SS", "nli_labels": ["E", "N", "E", "N", "N"], "ratings": [96.37, 6.16, 100.0, 3.02, 5.95]}}
+{"uid": "1052", "premise": "No, no, it's a monument. It's really right there. I think you can ask any street cop where it is or the porter in your hotel.", "hypothesis": "You can ask any street cop or the porter in your hotel where it is.", "label": "E", "metadata": {"context1": "No, no, it's a monument.", "context2": "It's really right there.", "target_sentence": "I think you can ask any street cop where it is or the porter in your hotel.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': 'you can ask any street cop where it is or the porter in your hotel'}", "trigger_type": "clause_embedding_predicates", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.69, 99.64, 100.0]}}
+{"uid": "1054-neg", "premise": "  In all this, congressional Republicans of the Gingrich stripe had an advantage that neither the White House nor the congressional Democratic majority enjoyed: Until now they needed to show how their numbers would add up.", "hypothesis": "They show how their numbers add up.", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "In all this, congressional Republicans of the Gingrich stripe had an advantage that neither the White House nor the congressional Democratic majority enjoyed: Until now they needed to show how their numbers would add up.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'factive': 'need', 'embedded_clause': 'In all this , congressional Republicans of the Gingrich stripe had an advantage that neither the White House nor the congressional Democratic majority enjoyed'}", "trigger_type": "clause_embedding_predicates", "annotator": "SS", "nli_labels": ["N", "E", "E", "N", "N"], "ratings": [85.24, 99.66, 95.4, 46.85, 50.9]}}
+{"uid": "1054", "premise": "  In all this, congressional Republicans of the Gingrich stripe had an advantage that neither the White House nor the congressional Democratic majority enjoyed: Until now they did not need to show how their numbers would add up.", "hypothesis": "They show how their numbers add up.", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "In all this, congressional Republicans of the Gingrich stripe had an advantage that neither the White House nor the congressional Democratic majority enjoyed: Until now they did not need to show how their numbers would add up.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'factive': 'need', 'embedded_clause': 'In all this , congressional Republicans of the Gingrich stripe had an advantage that neither the White House nor the congressional Democratic majority enjoyed'}", "trigger_type": "clause_embedding_predicates", "annotator": "SS", "nli_labels": ["N", "E", "N", "C", "N"], "ratings": [34.39, 100.0, 4.73, 0.0, 50.15]}}
+{"uid": "1055-neg", "premise": " Slowly she raised the lid and lifted the box to her face. There was a ghost of sweat, so faint that even as she breathed it in, she didn't feel she was using it up.", "hypothesis": "She was using it up.", "label": "C", "metadata": {"context1": "", "context2": "Slowly she raised the lid and lifted the box to her face.", "target_sentence": "There was a ghost of sweat, so faint that even as she breathed it in, she didn't feel she was using it up.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'felt', 'embedded_clause': 'she was using it up'}", "trigger_type": "clause_embedding_predicates", "annotator": "SS", "nli_labels": ["N", "C", "N", "C", "C"], "ratings": [49.85, 0.88, 25.04, 1.8, 1.71]}}
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+{"uid": "1057-neg", "premise": "  She didn't discover that today's comics \" \" are sophisticated in terms of writing, plot and artwork.", "hypothesis": "Today's comics are sophisticated in terms of writing, plot and artwork.", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "She didn't discover that today's comics \" \" are sophisticated in terms of writing, plot and artwork.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'discovered', 'embedded_clause': 'that today \\'s comics \" \" are sophisticated in terms of writing , plot and artwork'}", "trigger_type": "clause_embedding_predicates", "annotator": "SS", "nli_labels": ["N", "C", "N", "E", "N"], "ratings": [6.98, 0.38, 2.7, 100.0, 37.84]}}
+{"uid": "1057", "premise": "  She discovered that today's comics \" \" are sophisticated in terms of writing, plot and artwork.", "hypothesis": "Today's comics are sophisticated in terms of writing, plot and artwork.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "She discovered that today's comics \" \" are sophisticated in terms of writing, plot and artwork.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'discovered', 'embedded_clause': 'that today \\'s comics \" \" are sophisticated in terms of writing , plot and artwork'}", "trigger_type": "clause_embedding_predicates", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 99.43]}}
+{"uid": "1059-neg", "premise": "Lester also noted that research on group dynamics indicates that increasing the size of the group eventually increases the chances that a dominant member will emerge and force conformity from the other group members. Thus, there is a limit to the size of a group for effective functioning. In writing on subselves, Allport (1961), Rowan (1990) and Shapiro and Elliott (1976) have not suggested that from four to ten subselves is ideal.", "hypothesis": "Four to ten subselves is ideal.", "label": "N", "metadata": {"context1": "Lester also noted that research on group dynamics indicates that increasing the size of the group eventually increases the chances that a dominant member will emerge and force conformity from the other group members.", "context2": "Thus, there is a limit to the size of a group for effective functioning.", "target_sentence": "In writing on subselves, Allport (1961), Rowan (1990) and Shapiro and Elliott (1976) have not suggested that from four to ten subselves is ideal.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'suggested', 'embedded_clause': 'that from four to ten subselves is ideal'}", "trigger_type": "clause_embedding_predicates", "annotator": "SS", "nli_labels": ["N", "N", "N", "C", "C"], "ratings": [36.39, 8.9, 68.41, 0.02, 1.08]}}
+{"uid": "1059", "premise": "Lester also noted that research on group dynamics indicates that increasing the size of the group eventually increases the chances that a dominant member will emerge and force conformity from the other group members. Thus, there is a limit to the size of a group for effective functioning. In writing on subselves, Allport (1961), Rowan (1990) and Shapiro and Elliott (1976) have suggested that from four to ten subselves is ideal.", "hypothesis": "Four to ten subselves is ideal.", "label": "E", "metadata": {"context1": "Lester also noted that research on group dynamics indicates that increasing the size of the group eventually increases the chances that a dominant member will emerge and force conformity from the other group members.", "context2": "Thus, there is a limit to the size of a group for effective functioning.", "target_sentence": "In writing on subselves, Allport (1961), Rowan (1990) and Shapiro and Elliott (1976) have suggested that from four to ten subselves is ideal.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'suggested', 'embedded_clause': 'that from four to ten subselves is ideal'}", "trigger_type": "clause_embedding_predicates", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 97.65, 99.06]}}
+{"uid": "1060", "premise": "I don't scold him, but is there anything I can do? You've taken a smart approach. What he's doing is totally and completely normal: He's discovering his body, and discovering that rubbing his penis feels good.", "hypothesis": "Rubbing his penis feels good.", "label": "E", "metadata": {"context1": "I don't scold him, but is there anything I can do?", "context2": "You've taken a smart approach.", "target_sentence": "What he's doing is totally and completely normal: He's discovering his body, and discovering that rubbing his penis feels good.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'discovering', 'embedded_clause': \"What he 's doing is totally and completely normal\"}", "trigger_type": "clause_embedding_predicates", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 97.5, 99.31, 100.0, 100.0]}}
+{"uid": "1061-neg", "premise": "You really scared me when you said you were scared. '  I said I was scared.", "hypothesis": "I was scared.", "label": "E", "metadata": {"context1": "You really scared me when you said you were scared. '", "context2": "", "target_sentence": "I said I was scared.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'factive': 'say', 'embedded_clause': 'I was scared'}", "trigger_type": "clause_embedding_predicates", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 96.77, 100.0, 100.0, 98.88]}}
+{"uid": "1061", "premise": "You really scared me when you said you were scared. '  I didn't say I was scared.", "hypothesis": "I was scared.", "label": "N", "metadata": {"context1": "You really scared me when you said you were scared. '", "context2": "", "target_sentence": "I didn't say I was scared.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'factive': 'say', 'embedded_clause': 'I was scared'}", "trigger_type": "clause_embedding_predicates", "annotator": "SS", "nli_labels": ["N", "E", "N", "N", "N"], "ratings": [50.6, 100.0, 3.29, 27.39, 61.15]}}
+{"uid": "1064-neg", "premise": " ROBERT RUBIN: No, I don't think part-time employment has been part of our society for a long time.", "hypothesis": "Part-time employment has been part of our society for a long time.", "label": "N", "metadata": {"context1": "", "context2": "ROBERT RUBIN:", "target_sentence": "No, I don't think part-time employment has been part of our society for a long time.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': 'part - time employment has been part of our society for a long time'}", "trigger_type": "clause_embedding_predicates", "annotator": "SS", "nli_labels": ["C", "C", "N", "N", "N"], "ratings": [0.0, 0.0, 20.82, 9.85, 25.43]}}
+{"uid": "1064", "premise": " ROBERT RUBIN: No, I think part-time employment has been part of our society for a long time.", "hypothesis": "Part-time employment has been part of our society for a long time.", "label": "E", "metadata": {"context1": "", "context2": "ROBERT RUBIN:", "target_sentence": "No, I think part-time employment has been part of our society for a long time.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': 'part - time employment has been part of our society for a long time'}", "trigger_type": "clause_embedding_predicates", "annotator": "SS", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [93.02, 96.93, 100.0, 100.0, 97.3]}}
+{"uid": "1065-neg", "premise": "\"It'll only take a few minutes to patch this.\"  Kate didn't know that tourists flocked to Austin to see the bats that hung around literally on one of the bridges, and she had no desire to see one up close and personal.", "hypothesis": "Tourists flock to Austin to see the bats.", "label": "E", "metadata": {"context1": "\"It'll only take a few minutes to patch this.\"", "context2": "", "target_sentence": "Kate didn't know that tourists flocked to Austin to see the bats that hung around literally on one of the bridges, and she had no desire to see one up close and personal.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'knew', 'embedded_clause': 'that tourists flocked to Austin to see the bats that hung aroundliterallyon one of the bridges'}", "trigger_type": "clause_embedding_predicates", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.28, 99.12, 100.0, 99.22, 100.0]}}
+{"uid": "1065", "premise": "\"It'll only take a few minutes to patch this.\"  Kate knew that tourists flocked to Austin to see the bats that hung around iterally on one of the bridges, and she had no desire to see one up close and personal.", "hypothesis": "Tourists flock to Austin to see the bats.", "label": "E", "metadata": {"context1": "\"It'll only take a few minutes to patch this.\"", "context2": "", "target_sentence": "Kate knew that tourists flocked to Austin to see the bats that hung around iterally on one of the bridges, and she had no desire to see one up close and personal.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'knew', 'embedded_clause': 'that tourists flocked to Austin to see the bats that hung aroundliterallyon one of the bridges'}", "trigger_type": "clause_embedding_predicates", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 92.09, 100.0]}}
+{"uid": "1067-neg", "premise": " In his clinical work, Zayas (2001) found that minority youth benefit from discussing their struggles with racism and ethnic identity. He didn't find that in many of his clinical cases, adolescents' struggles with their ethnic identity were made salient when he purposefully elicited clarification of issues related to peer-group relations, family relations, and achievement.", "hypothesis": "In many of his clinical cases, adolescents' struggles with their ethnic identity were made salient when he purposefully elicited clarification of issues related to peer-group relations, family relations, and achievement.", "label": "C", "metadata": {"context1": "", "context2": "In his clinical work, Zayas (2001) found that minority youth benefit from discussing their struggles with racism and ethnic identity.", "target_sentence": "He didn't find that in many of his clinical cases, adolescents' struggles with their ethnic identity were made salient when he purposefully elicited clarification of issues related to peer-group relations, family relations, and achievement.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'found', 'embedded_clause': \"that in many of his clinical cases , adolescents ' struggles with their ethnic identity were made salient when he purposefully elicited clarification of issues related to peer - group relations , family relations , and achievement\"}", "trigger_type": "clause_embedding_predicates", "annotator": "SS", "nli_labels": ["C", "N", "C", "C", "E"], "ratings": [0.23, 5.19, 0.0, 0.0, 100.0]}}
+{"uid": "1067", "premise": " In his clinical work, Zayas (2001) found that minority youth benefit from discussing their struggles with racism and ethnic identity. He found that in many of his clinical cases, adolescents' struggles with their ethnic identity were made salient when he purposefully elicited clarification of issues related to peer-group relations, family relations, and achievement.", "hypothesis": "In many of his clinical cases, adolescents' struggles with their ethnic identity were made salient when he purposefully elicited clarification of issues related to peer-group relations, family relations, and achievement.", "label": "E", "metadata": {"context1": "", "context2": "In his clinical work, Zayas (2001) found that minority youth benefit from discussing their struggles with racism and ethnic identity.", "target_sentence": "He found that in many of his clinical cases, adolescents' struggles with their ethnic identity were made salient when he purposefully elicited clarification of issues related to peer-group relations, family relations, and achievement.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'found', 'embedded_clause': \"that in many of his clinical cases , adolescents ' struggles with their ethnic identity were made salient when he purposefully elicited clarification of issues related to peer - group relations , family relations , and achievement\"}", "trigger_type": "clause_embedding_predicates", "annotator": "SS", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 100.0, 98.54, 99.51, 100.0]}}
+{"uid": "1069-neg", "premise": "JAN HALL: He told me on the final phone call, on the radio phone call, that- not to worry about him too much. He somehow didn't manage to impart some peacefulness to me because then I slept for six or seven hours, which was most remarkable.", "hypothesis": "It would take effort for him to impart some peacefulness to me.", "label": "N", "metadata": {"context1": "JAN HALL:", "context2": "He told me on the final phone call, on the radio phone call, that- not to worry about him too much.", "target_sentence": "He somehow didn't manage to impart some peacefulness to me because then I slept for six or seven hours, which was most remarkable.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "SS", "nli_labels": ["N", "N", "E", "N", "E"], "ratings": [85.24, 64.9, 93.17, 54.05, 100.0]}}
+{"uid": "1069", "premise": "JAN HALL: He told me on the final phone call, on the radio phone call, that- not to worry about him too much. He somehow managed to impart some peacefulness to me because then I slept for six or seven hours, which was most remarkable.", "hypothesis": "It would take effort for him to impart some peacefulness to me.", "label": "N", "metadata": {"context1": "JAN HALL:", "context2": "He told me on the final phone call, on the radio phone call, that- not to worry about him too much.", "target_sentence": "He somehow managed to impart some peacefulness to me because then I slept for six or seven hours, which was most remarkable.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "SS", "nli_labels": ["N", "E", "N", "N", "E"], "ratings": [89.98, 100.0, 76.86, 28.05, 96.43]}}
+{"uid": "1070-neg", "premise": "MORRISON: Electronic Hollywood was designing more than Web sites now. It specialized in animated games and cartoons. Jaime hadn't managed to cut a sizeable deal to produce one of the first animated cartoon series for the Web, \"Cyberslacker.\"", "hypothesis": "It would take effort for Jaime to cut a sizeable deal to produce one of the first animated cartoon series for the Web.", "label": "N", "metadata": {"context1": "MORRISON: Electronic Hollywood was designing more than Web sites now.", "context2": "It specialized in animated games and cartoons.", "target_sentence": "Jaime hadn't managed to cut a sizeable deal to produce one of the first animated cartoon series for the Web, \"Cyberslacker.\"", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "SS", "nli_labels": ["N", "N", "N", "E", "E"], "ratings": [93.17, 7.75, 94.61, 98.54, 100.0]}}
+{"uid": "1070", "premise": "MORRISON: Electronic Hollywood was designing more than Web sites now. It specialized in animated games and cartoons. Jaime had managed to cut a sizeable deal to produce one of the first animated cartoon series for the Web, \"Cyberslacker.\"", "hypothesis": "It would take effort for Jaime to cut a sizeable deal to produce one of the first animated cartoon series for the Web.", "label": "N", "metadata": {"context1": "MORRISON: Electronic Hollywood was designing more than Web sites now.", "context2": "It specialized in animated games and cartoons.", "target_sentence": "Jaime had managed to cut a sizeable deal to produce one of the first animated cartoon series for the Web, \"Cyberslacker.\"", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "SS", "nli_labels": ["N", "N", "E", "E", "N"], "ratings": [84.18, 93.25, 88.04, 97.3, 76.23]}}
+{"uid": "1073-neg", "premise": "Card and his father, who operate a charter boat, had just hooked the fish when it suddenly leapt out of the water, impaled the younger Card just below his collar bone and knocked him into the ocean. He was able to struggle free from the fish while his father cut the line and pulled his son aboard. They didn't manage to make it to shore in about 40 minutes after calling for emergency medical treatment.", "hypothesis": "Trying to make it to shore would take effort for them.", "label": "E", "metadata": {"context1": "Card and his father, who operate a charter boat, had just hooked the fish when it suddenly leapt out of the water, impaled the younger Card just below his collar bone and knocked him into the ocean.", "context2": "He was able to struggle free from the fish while his father cut the line and pulled his son aboard.", "target_sentence": "They didn't manage to make it to shore in about 40 minutes after calling for emergency medical treatment.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "SS", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 85.55, 99.75, 100.0, 100.0]}}
+{"uid": "1073", "premise": "Card and his father, who operate a charter boat, had just hooked the fish when it suddenly leapt out of the water, impaled the younger Card just below his collar bone and knocked him into the ocean. He was able to struggle free from the fish while his father cut the line and pulled his son aboard. They managed to make it to shore in about 40 minutes after calling for emergency medical treatment.", "hypothesis": "Trying to make it to shore would take effort for them.", "label": "N", "metadata": {"context1": "Card and his father, who operate a charter boat, had just hooked the fish when it suddenly leapt out of the water, impaled the younger Card just below his collar bone and knocked him into the ocean.", "context2": "He was able to struggle free from the fish while his father cut the line and pulled his son aboard.", "target_sentence": "They managed to make it to shore in about 40 minutes after calling for emergency medical treatment.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "SS", "nli_labels": ["N", "E", "E", "N", "N"], "ratings": [81.41, 100.0, 100.0, 33.55, 70.87]}}
+{"uid": "1078-neg", "premise": "We would never make any important business decisions without discussing them with our government managers and owners,' said one executive, who did not want to be identified because of the sensitivity of the matter.  A.I.G. hasn't declined to identify the employees receiving the bonuses, some of whom are thought to be foreigners who worked out of offices in London.", "hypothesis": "AIG has been asked to identify the employees receiving the bonuses.", "label": "N", "metadata": {"context1": "We would never make any important business decisions without discussing them with our government managers and owners,' said one executive, who did not want to be identified because of the sensitivity of the matter.", "context2": "", "target_sentence": "A.I.G. hasn't declined to identify the employees receiving the bonuses, some of whom are thought to be foreigners who worked out of offices in London.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "SS", "nli_labels": ["E", "N", "N", "E", "N"], "ratings": [96.71, 61.73, 78.09, 97.19, 78.82]}}
+{"uid": "1078", "premise": "We would never make any important business decisions without discussing them with our government managers and owners,' said one executive, who did not want to be identified because of the sensitivity of the matter.  A.I.G. has declined to identify the employees receiving the bonuses, some of whom are thought to be foreigners who worked out of offices in London.", "hypothesis": "AIG has been asked to identify the employees receiving the bonuses.", "label": "E", "metadata": {"context1": "We would never make any important business decisions without discussing them with our government managers and owners,' said one executive, who did not want to be identified because of the sensitivity of the matter.", "context2": "", "target_sentence": "A.I.G. has declined to identify the employees receiving the bonuses, some of whom are thought to be foreigners who worked out of offices in London.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "SS", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [99.4, 99.85, 99.96, 70.19, 100.0]}}
+{"uid": "1079-neg", "premise": "The proposal also covers the FAO Schwarz name, said David Levene, an attorney for the King of Prussia, Pa. -based retailer. He didn't decline to comment further on the offer.", "hypothesis": "He was asked to comment further on the offer.", "label": "E", "metadata": {"context1": "The proposal also covers the FAO Schwarz name, said David Levene, an attorney for the King of Prussia,", "context2": "Pa. -based retailer.", "target_sentence": "He didn't decline to comment further on the offer.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.34, 99.51, 100.0]}}
+{"uid": "1079", "premise": "The proposal also covers the FAO Schwarz name, said David Levene, an attorney for the King of Prussia, Pa. -based retailer. He declined to comment further on the offer.", "hypothesis": "He was asked to comment further on the offer.", "label": "N", "metadata": {"context1": "The proposal also covers the FAO Schwarz name, said David Levene, an attorney for the King of Prussia,", "context2": "Pa. -based retailer.", "target_sentence": "He declined to comment further on the offer.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "SS", "nli_labels": ["E", "N", "N", "E", "N"], "ratings": [100.0, 90.06, 89.26, 100.0, 93.98]}}
+{"uid": "1081-neg", "premise": " Drugmaker Pfizer, for example, operates five manufacturing plants in Ireland and employs about 2,200 there. The company didn't decline to make an executive available for an interview, and spokeswoman Shreya Jani said via e-mail that taxes are only one consideration in investment decisions.", "hypothesis": "The company was asked to make an executive available for an interview.", "label": "E", "metadata": {"context1": "", "context2": "Drugmaker Pfizer, for example, operates five manufacturing plants in Ireland and employs about 2,200 there.", "target_sentence": "The company didn't decline to make an executive available for an interview, and spokeswoman Shreya Jani said via e-mail that taxes are only one consideration in investment decisions.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [100.0, 100.0, 96.14, 93.4, 91.76]}}
+{"uid": "1081", "premise": " Drugmaker Pfizer, for example, operates five manufacturing plants in Ireland and employs about 2,200 there. The company declined to make an executive available for an interview, and spokeswoman Shreya Jani said via e-mail that taxes are only one consideration in investment decisions.", "hypothesis": "The company was asked to make an executive available for an interview.", "label": "E", "metadata": {"context1": "", "context2": "Drugmaker Pfizer, for example, operates five manufacturing plants in Ireland and employs about 2,200 there.", "target_sentence": "The company declined to make an executive available for an interview, and spokeswoman Shreya Jani said via e-mail that taxes are only one consideration in investment decisions.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "SS", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 100.0, 77.23, 98.73, 92.95]}}
+{"uid": "1082-neg", "premise": "It also indicates police are investigating Hokoana for first-degree assault. Efforts to reach Hokoana were unsuccessful. His wife hasn't previously declined to comment.", "hypothesis": "His wife has been asked to comment.", "label": "E", "metadata": {"context1": "It also indicates police are investigating Hokoana for first-degree assault.", "context2": "Efforts to reach Hokoana were unsuccessful.", "target_sentence": "His wife hasn't previously declined to comment.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.16, 96.71, 98.24]}}
+{"uid": "1082", "premise": "It also indicates police are investigating Hokoana for first-degree assault. Efforts to reach Hokoana were unsuccessful. His wife has previously declined to comment.", "hypothesis": "His wife has been asked to comment.", "label": "E", "metadata": {"context1": "It also indicates police are investigating Hokoana for first-degree assault.", "context2": "Efforts to reach Hokoana were unsuccessful.", "target_sentence": "His wife has previously declined to comment.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [95.84, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1083-neg", "premise": "  All the same, when conflicts in the region did erupt during the 1970s, 1980s, and 1990s pitting Islamists against more moderate governments, the United States didn't avoid taking sides.", "hypothesis": "The United States was expected to take sides.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "All the same, when conflicts in the region did erupt during the 1970s, 1980s, and 1990s pitting Islamists against more moderate governments, the United States didn't avoid taking sides.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'avoided', 'inference': 'the event was expected from the subject'}", "trigger_type": "implicative_predicates", "annotator": "SS", "nli_labels": ["N", "N", "E", "E", "E"], "ratings": [50.15, 49.85, 100.0, 100.0, 79.42]}}
+{"uid": "1083", "premise": "  All the same, when conflicts in the region did erupt during the 1970s, 1980s, and 1990s pitting Islamists against more moderate governments, the United States avoided taking sides.", "hypothesis": "The United States was expected to take sides.", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "All the same, when conflicts in the region did erupt during the 1970s, 1980s, and 1990s pitting Islamists against more moderate governments, the United States avoided taking sides.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'avoided', 'inference': 'the event was expected from the subject'}", "trigger_type": "implicative_predicates", "annotator": "SS", "nli_labels": ["N", "N", "N", "N", "C"], "ratings": [94.74, 34.11, 6.6, 15.18, 1.84]}}
+{"uid": "1086-neg", "premise": "( Voiceover ) And she recently figured out a way to get around. While Brooke isn't capable of speaking, she doesn't manage to let her thoughts be known.", "hypothesis": "It would take effort for Brooke to let her thoughts be known.", "label": "E", "metadata": {"context1": "( Voiceover )", "context2": "And she recently figured out a way to get around.", "target_sentence": "While Brooke isn't capable of speaking, she doesn't manage to let her thoughts be known.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'manage to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "SS", "nli_labels": ["N", "E", "E", "N", "E"], "ratings": [97.6, 100.0, 94.88, 75.34, 100.0]}}
+{"uid": "1086", "premise": "( Voiceover ) And she recently figured out a way to get around. While Brooke isn't capable of speaking, she does manage to let her thoughts be known.", "hypothesis": "It would take effort for Brooke to let her thoughts be known.", "label": "N", "metadata": {"context1": "( Voiceover )", "context2": "And she recently figured out a way to get around.", "target_sentence": "While Brooke isn't capable of speaking, she does manage to let her thoughts be known.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'manage to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "SS", "nli_labels": ["E", "N", "N", "N", "E"], "ratings": [92.17, 84.51, 35.68, 86.97, 98.37]}}
+{"uid": "1087-neg", "premise": "  On Friday, Baltimore County police didn't decline to say whether they have found the gun used in the crime.", "hypothesis": "Baltimore County police were asked to say whether they have found the gun used in the crime.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "On Friday, Baltimore County police didn't decline to say whether they have found the gun used in the crime.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [100.0, 100.0, 95.14, 99.73, 91.27]}}
+{"uid": "1087", "premise": "  On Friday, Baltimore County police declined to say whether they have found the gun used in the crime.", "hypothesis": "Baltimore County police were asked to say whether they have found the gun used in the crime.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "On Friday, Baltimore County police declined to say whether they have found the gun used in the crime.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "SS", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [85.55, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1089-neg", "premise": "Victorious Lannister troops, fresh off their win at Highgarden, were truckin' along back home with all the food to feed their massive army and the city at large. And wouldn't you know it? A Dothraki horde doesn't happen to be heading that way, too.", "hypothesis": "It is unexpected for the Dothraki horde to be heading that way, too.", "label": "N", "metadata": {"context1": "Victorious Lannister troops, fresh off their win at Highgarden, were truckin' along back home with all the food to feed their massive army and the city at large.", "context2": "And wouldn't you know it?", "target_sentence": "A Dothraki horde doesn't happen to be heading that way, too.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'happens to', 'inference': 'the action/state is unexpected'}", "trigger_type": "implicative_predicates", "annotator": "SS", "nli_labels": ["N", "N", "N", "N", "E"], "ratings": [88.98, 18.48, 84.51, 14.97, 100.0]}}
+{"uid": "1091", "premise": "JOHN-YDSTIE-report: A world of fuel cells powering cars down the nation's highways used to exist only in the dreams of environmentalists and a few scientists and engineers, but that's changed in the past decade. President GEORGE W. BUSH: We happen to believe that fuel cells are the wave of the future.", "hypothesis": "It is unexpected for us to believe that fuel cells are the wave of the future.", "label": "N", "metadata": {"context1": "JOHN-YDSTIE-report: A world of fuel cells powering cars down the nation's highways used to exist only in the dreams of environmentalists and a few scientists and engineers, but that's changed in the past decade.", "context2": "President GEORGE W. BUSH:", "target_sentence": "We happen to believe that fuel cells are the wave of the future.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'happen to', 'inference': 'the action/state is unexpected'}", "trigger_type": "implicative_predicates", "annotator": "SS", "nli_labels": ["N", "C", "N", "C", "N"], "ratings": [24.66, 0.94, 41.35, 1.31, 70.87]}}
+{"uid": "1092", "premise": "But things started going badly in 1988, a year after Elizabeth Coleman arrived, and the trouble kept escalating. The administration initiated a series of discussions on student behavior, and a group of offended students held an immorality party' in protest. It happened to coincide with Parents' Weekend.", "hypothesis": "It was unexpected for the party to coincide with Parent's weekend.", "label": "N", "metadata": {"context1": "But things started going badly in 1988, a year after Elizabeth Coleman arrived, and the trouble kept escalating.", "context2": "The administration initiated a series of discussions on student behavior, and a group of offended students held an immorality party' in protest.", "target_sentence": "It happened to coincide with Parents' Weekend.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'happened to', 'inference': 'the action/state is unexpected'}", "trigger_type": "implicative_predicates", "annotator": "SS", "nli_labels": ["N", "N", "N", "N", "E"], "ratings": [11.11, 81.98, 15.71, 76.1, 90.85]}}
+{"uid": "1094-neg", "premise": " The association, with offices now at 180 West Broadway, represents hauling companies that have most of the business in the city. Mr. Spinelli didn't decline to say how many companies were in the association or the amount of their business.", "hypothesis": "Mr. Spinelli was asked to say how many companies were in the association or the amount of their business.", "label": "E", "metadata": {"context1": "", "context2": "The association, with offices now at 180 West Broadway, represents hauling companies that have most of the business in the city.", "target_sentence": "Mr. Spinelli didn't decline to say how many companies were in the association or the amount of their business.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [94.68, 100.0, 100.0, 96.98, 86.07]}}
+{"uid": "1094", "premise": " The association, with offices now at 180 West Broadway, represents hauling companies that have most of the business in the city. Mr. Spinelli declined to say how many companies were in the association or the amount of their business.", "hypothesis": "Mr. Spinelli was asked to say how many companies were in the association or the amount of their business.", "label": "E", "metadata": {"context1": "", "context2": "The association, with offices now at 180 West Broadway, represents hauling companies that have most of the business in the city.", "target_sentence": "Mr. Spinelli declined to say how many companies were in the association or the amount of their business.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "SS", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [99.79, 68.41, 100.0, 100.0, 97.88]}}
+{"uid": "1095-neg", "premise": "Now, I know one of the reasons why you're so excited is not necessarily because you're going to be a household name, but it's because you are shooting this in Johnny Carson's old studio ROBINSON It's just a dream come true, isn't it? My daughter, who's a television producer in New York and who is 30 and very rarely impressed by her mother, who she thinks is nuts, didn't actually manage to say that was quite cool SYDNEY", "hypothesis": "Saying that was quite cool is something that would take effort for my daughter.", "label": "N", "metadata": {"context1": "Now, I know one of the reasons why you're so excited is not necessarily because you're going to be a household name, but it's because you are shooting this in Johnny Carson's old studio ROBINSON", "context2": "It's just a dream come true, isn't it?", "target_sentence": "My daughter, who's a television producer in New York and who is 30 and very rarely impressed by her mother, who she thinks is nuts, didn't actually manage to say that was quite cool SYDNEY", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'manage to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "SS", "nli_labels": ["N", "N", "N", "C", "N"], "ratings": [78.33, 94.94, 26.73, 1.93, 85.55]}}
+{"uid": "1095", "premise": "Now, I know one of the reasons why you're so excited is not necessarily because you're going to be a household name, but it's because you are shooting this in Johnny Carson's old studio ROBINSON It's just a dream come true, isn't it? My daughter, who's a television producer in New York and who is 30 and very rarely impressed by her mother, who she thinks is nuts, did actually manage to say that was quite cool SYDNEY", "hypothesis": "Saying that was quite cool is something that would take effort for my daughter.", "label": "E", "metadata": {"context1": "Now, I know one of the reasons why you're so excited is not necessarily because you're going to be a household name, but it's because you are shooting this in Johnny Carson's old studio ROBINSON", "context2": "It's just a dream come true, isn't it?", "target_sentence": "My daughter, who's a television producer in New York and who is 30 and very rarely impressed by her mother, who she thinks is nuts, did actually manage to say that was quite cool SYDNEY", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'manage to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "SS", "nli_labels": ["N", "E", "E", "N", "E"], "ratings": [51.95, 92.87, 99.69, 15.82, 100.0]}}
+{"uid": "1096-neg", "premise": "the Mephisto Waltz tenderly tempting. She didn't care about her own life or the fifty women the guards might shoot in retribution. I didn't dare God to accuse me of murder.", "hypothesis": "It would take courage for God to accuse me of murder.", "label": "N", "metadata": {"context1": "the Mephisto Waltz tenderly tempting.", "context2": "She didn't care about her own life or the fifty women the guards might shoot in retribution.", "target_sentence": "I didn't dare God to accuse me of murder.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'dared', 'inference': 'the action takes courage'}", "trigger_type": "implicative_predicates", "annotator": "SS", "nli_labels": ["N", "E", "N", "N", "N"], "ratings": [71.41, 99.34, 51.05, 6.6, 86.97]}}
+{"uid": "110-neg", "premise": "What is Diversity? Diversity has replaced affirmative action as the model for broadening the makeup of American universities. Superficially, diversity is not a more attractive idea than affirmative action because diversity is a neutral principle that applies to all groups equally, while affirmative action is a paternalistic policy that involves those who control the universities preferring particular groups that have been subject to past discrimination.", "hypothesis": "Affirmative action is an idea.", "label": "N", "metadata": {"context1": "What is Diversity?", "context2": "Diversity has replaced affirmative action as the model for broadening the makeup of American universities.", "target_sentence": "Superficially, diversity is not a more attractive idea than affirmative action because diversity is a neutral principle that applies to all groups equally, while affirmative action is a paternalistic policy that involves those who control the universities preferring particular groups that have been subject to past discrimination.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'attractive', 'noun': 'idea'}", "trigger_type": "comparatives", "annotator": "ZZ", "nli_labels": ["N", "N", "E", "N", "E"], "ratings": [49.7, 30.08, 94.61, 79.18, 100.0]}}
+{"uid": "110", "premise": "What is Diversity? Diversity has replaced affirmative action as the model for broadening the makeup of American universities. Superficially, diversity is a more attractive idea than affirmative action because diversity is a neutral principle that applies to all groups equally, while affirmative action is a paternalistic policy that involves those who control the universities preferring particular groups that have been subject to past discrimination.", "hypothesis": "Affirmative action is an idea.", "label": "E", "metadata": {"context1": "What is Diversity?", "context2": "Diversity has replaced affirmative action as the model for broadening the makeup of American universities.", "target_sentence": "Superficially, diversity is a more attractive idea than affirmative action because diversity is a neutral principle that applies to all groups equally, while affirmative action is a paternalistic policy that involves those who control the universities preferring particular groups that have been subject to past discrimination.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'attractive', 'noun': 'idea'}", "trigger_type": "comparatives", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.79, 100.0, 100.0, 100.0]}}
+{"uid": "1102-neg", "premise": "Seated in his saddle, the knight San Alberto asked the dying man, \" In which abbey? In which direction? The dying man didn't manage to whisper the murderer's name.", "hypothesis": "It would take effort for the dying man to whisper the murderer's name.", "label": "E", "metadata": {"context1": "Seated in his saddle, the knight San Alberto asked the dying man, \" In which abbey?", "context2": "In which direction?", "target_sentence": "The dying man didn't manage to whisper the murderer's name.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.62, 100.0, 99.62, 97.55, 100.0]}}
+{"uid": "1102", "premise": "Seated in his saddle, the knight San Alberto asked the dying man, \" In which abbey? In which direction? The dying man managed to whisper the murderer's name.", "hypothesis": "It would take effort for the dying man to whisper the murderer's name.", "label": "E", "metadata": {"context1": "Seated in his saddle, the knight San Alberto asked the dying man, \" In which abbey?", "context2": "In which direction?", "target_sentence": "The dying man managed to whisper the murderer's name.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "SS", "nli_labels": ["E", "E", "E", "N", "N"], "ratings": [100.0, 100.0, 100.0, 92.09, 90.5]}}
+{"uid": "1105-neg", "premise": "Speaker A: And so this is Louis C.K. on \"Saturday Night Live\" and you don't manage to talk about religion in this. @", "hypothesis": "It would be hard for you to talk about religion in this.", "label": "N", "metadata": {"context1": "And so this is Louis C.K.", "context2": "on \"Saturday Night Live\"", "target_sentence": "and you don't manage to talk about religion in this. @", "speaker_context1": "TERRY-GROSS", "speaker_context2": "TERRY-GROSS", "speaker_target": "TERRY-GROSS", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'manage to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "SS", "nli_labels": ["N", "E", "N", "N", "N"], "ratings": [66.74, 99.51, 63.89, 64.61, 66.17]}}
+{"uid": "1105", "premise": "Speaker A: And so this is Louis C.K. on \"Saturday Night Live\" and you manage to talk about religion in this. @", "hypothesis": "It would be hard for you to talk about religion in this.", "label": "N", "metadata": {"context1": "And so this is Louis C.K.", "context2": "on \"Saturday Night Live\"", "target_sentence": "and you manage to talk about religion in this. @", "speaker_context1": "TERRY-GROSS", "speaker_context2": "TERRY-GROSS", "speaker_target": "TERRY-GROSS", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'manage to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "SS", "nli_labels": ["N", "C", "N", "N", "N"], "ratings": [48.5, 0.0, 44.76, 5.39, 37.84]}}
+{"uid": "1107-neg", "premise": "Good morning, junior, welcome to our country.  Max didn't manage to sit up.", "hypothesis": "It would take effort for Max to sit up.", "label": "N", "metadata": {"context1": "Good morning, junior, welcome to our country.", "context2": "", "target_sentence": "Max didn't manage to sit up.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'manages to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "SS", "nli_labels": ["N", "N", "N", "N", "E"], "ratings": [80.83, 95.46, 58.36, 79.18, 100.0]}}
+{"uid": "1107", "premise": "Good morning, junior, welcome to our country.  Max manages to sit up.", "hypothesis": "It would take effort for Max to sit up.", "label": "E", "metadata": {"context1": "Good morning, junior, welcome to our country.", "context2": "", "target_sentence": "Max manages to sit up.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'manages to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "SS", "nli_labels": ["N", "E", "E", "E", "N"], "ratings": [71.68, 99.59, 100.0, 97.79, 57.02]}}
+{"uid": "1108-neg", "premise": " Then again, given the gridlock on most issues in Washington, the idea of passing any insider trading law in Congress might be wishful thinking. A spokesman for Mr. Bharara didn't decline to comment on a possible Supreme Court appeal.", "hypothesis": "A spokesman for Mr. Bharara was asked to comment on a possible Supreme Court appeal.", "label": "N", "metadata": {"context1": "", "context2": "Then again, given the gridlock on most issues in Washington, the idea of passing any insider trading law in Congress might be wishful thinking.", "target_sentence": "A spokesman for Mr. Bharara didn't decline to comment on a possible Supreme Court appeal.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "SS", "nli_labels": ["N", "N", "E", "E", "N"], "ratings": [75.98, 87.95, 100.0, 100.0, 95.59]}}
+{"uid": "1108", "premise": " Then again, given the gridlock on most issues in Washington, the idea of passing any insider trading law in Congress might be wishful thinking. A spokesman for Mr. Bharara declined to comment on a possible Supreme Court appeal.", "hypothesis": "A spokesman for Mr. Bharara was asked to comment on a possible Supreme Court appeal.", "label": "E", "metadata": {"context1": "", "context2": "Then again, given the gridlock on most issues in Washington, the idea of passing any insider trading law in Congress might be wishful thinking.", "target_sentence": "A spokesman for Mr. Bharara declined to comment on a possible Supreme Court appeal.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "SS", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 93.4, 100.0, 98.5, 99.9]}}
+{"uid": "1109-neg", "premise": " But the wholesale judicialization of public education is preferable only to unilateral disarmament; it is demonstrably detrimental to a sound liberal education. So long as both sides in the culture war are not trapped in the public sector, there is no escape from this negative-sum game.", "hypothesis": "There are two sides in the culture war.", "label": "E", "metadata": {"context1": "", "context2": "But the wholesale judicialization of public education is preferable only to unilateral disarmament; it is demonstrably detrimental to a sound liberal education.", "target_sentence": "So long as both sides in the culture war are not trapped in the public sector, there is no escape from this negative-sum game.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.5, 100.0, 99.75, 99.06, 97.45]}}
+{"uid": "1109", "premise": " But the wholesale judicialization of public education is preferable only to unilateral disarmament; it is demonstrably detrimental to a sound liberal education. So long as both sides in the culture war are trapped in the public sector, there is no escape from this negative-sum game.", "hypothesis": "There are two sides in the culture war.", "label": "E", "metadata": {"context1": "", "context2": "But the wholesale judicialization of public education is preferable only to unilateral disarmament; it is demonstrably detrimental to a sound liberal education.", "target_sentence": "So long as both sides in the culture war are trapped in the public sector, there is no escape from this negative-sum game.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 100.0, 90.5, 99.22, 99.83]}}
+{"uid": "1113-neg", "premise": "but we're paying such a low rate that doctors are opting out. \"  Members of both parties in Congress also don't appear to agree that the state should boost funding for services to help the developmentally disabled, another group that absorbed cuts during the recession.", "hypothesis": "There are two parties in Congress.", "label": "E", "metadata": {"context1": "but we're paying such a low rate that doctors are opting out. \"", "context2": "", "target_sentence": "Members of both parties in Congress also don't appear to agree that the state should boost funding for services to help the developmentally disabled, another group that absorbed cuts during the recession.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [90.06, 100.0, 100.0, 97.5, 100.0]}}
+{"uid": "1113", "premise": "but we're paying such a low rate that doctors are opting out. \"  Members of both parties in Congress also appear to agree that the state should boost funding for services to help the developmentally disabled, another group that absorbed cuts during the recession.", "hypothesis": "There are two parties in Congress.", "label": "E", "metadata": {"context1": "but we're paying such a low rate that doctors are opting out. \"", "context2": "", "target_sentence": "Members of both parties in Congress also appear to agree that the state should boost funding for services to help the developmentally disabled, another group that absorbed cuts during the recession.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 98.65, 100.0, 99.46]}}
+{"uid": "1114-neg", "premise": "ICE spokeswoman Barbara Gonzalez told the AJC on Thursday that Cherokee and Roswell's applications are still under consideration.  \"We aren't working with both of the law enforcement departments involved and sharing information to move forward on their requests,\" she said.", "hypothesis": "Threre are two law enforcment departments involved.", "label": "E", "metadata": {"context1": "ICE spokeswoman Barbara Gonzalez told the AJC on Thursday that Cherokee and Roswell's applications are still under consideration.", "context2": "", "target_sentence": "\"We aren't working with both of the law enforcement departments involved and sharing information to move forward on their requests,\" she said.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["N", "N", "E", "E", "E"], "ratings": [83.97, 81.29, 100.0, 100.0, 100.0]}}
+{"uid": "1114", "premise": "ICE spokeswoman Barbara Gonzalez told the AJC on Thursday that Cherokee and Roswell's applications are still under consideration.  \"We are working with both of the law enforcement departments involved and sharing information to move forward on their requests,\" she said.", "hypothesis": "Threre are two law enforcment departments involved.", "label": "E", "metadata": {"context1": "ICE spokeswoman Barbara Gonzalez told the AJC on Thursday that Cherokee and Roswell's applications are still under consideration.", "context2": "", "target_sentence": "\"We are working with both of the law enforcement departments involved and sharing information to move forward on their requests,\" she said.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 95.71, 100.0, 100.0, 100.0]}}
+{"uid": "1118-neg", "premise": " The use of recycled wood for panel board and paper furnish is a relatively recent development in the Northwest--taking place within the past three years. While tolerance for contaminants and other quality criteria vary, both types of uses under consideration do not require a very clean product ground to a relatively consistent size.", "hypothesis": "There are two types of uses of recycled wood under consideration.", "label": "E", "metadata": {"context1": "", "context2": "The use of recycled wood for panel board and paper furnish is a relatively recent development in the Northwest--taking place within the past three years.", "target_sentence": "While tolerance for contaminants and other quality criteria vary, both types of uses under consideration do not require a very clean product ground to a relatively consistent size.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [98.81, 99.9, 100.0, 97.25, 50.15]}}
+{"uid": "1118", "premise": " The use of recycled wood for panel board and paper furnish is a relatively recent development in the Northwest--taking place within the past three years. While tolerance for contaminants and other quality criteria vary, both types of uses under consideration require a very clean product ground to a relatively consistent size.", "hypothesis": "There are two types of uses of recycled wood under consideration.", "label": "E", "metadata": {"context1": "", "context2": "The use of recycled wood for panel board and paper furnish is a relatively recent development in the Northwest--taking place within the past three years.", "target_sentence": "While tolerance for contaminants and other quality criteria vary, both types of uses under consideration require a very clean product ground to a relatively consistent size.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [98.95, 93.62, 99.46, 98.37, 99.91]}}
+{"uid": "1125-neg", "premise": " Simpson was acquitted last fall of murdering his former wife Nicole Brown Simpson and her friend Ronald Goldman. Families of both victims haven't sued Simpson for wrongful death, trying to prove in civil court that he is liable for the deaths.", "hypothesis": "There were two victims of Simpson.", "label": "E", "metadata": {"context1": "", "context2": "Simpson was acquitted last fall of murdering his former wife Nicole Brown Simpson and her friend Ronald Goldman.", "target_sentence": "Families of both victims haven't sued Simpson for wrongful death, trying to prove in civil court that he is liable for the deaths.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1125", "premise": " Simpson was acquitted last fall of murdering his former wife Nicole Brown Simpson and her friend Ronald Goldman. Families of both victims have sued Simpson for wrongful death, trying to prove in civil court that he is liable for the deaths.", "hypothesis": "There were two victims of Simpson.", "label": "E", "metadata": {"context1": "", "context2": "Simpson was acquitted last fall of murdering his former wife Nicole Brown Simpson and her friend Ronald Goldman.", "target_sentence": "Families of both victims have sued Simpson for wrongful death, trying to prove in civil court that he is liable for the deaths.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [87.17, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1126-neg", "premise": "SIETZEN: Much of the this discussion, unfortunately, was conducted in the press. And there hasn't been a great deal of acrimony on both sides of the conflict.", "hypothesis": "There are two sides of the conflict.", "label": "E", "metadata": {"context1": "SIETZEN:", "context2": "Much of the this discussion, unfortunately, was conducted in the press.", "target_sentence": "And there hasn't been a great deal of acrimony on both sides of the conflict.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.92, 99.94, 100.0, 97.7, 99.22]}}
+{"uid": "1126", "premise": "SIETZEN: Much of the this discussion, unfortunately, was conducted in the press. And there's been a great deal of acrimony on both sides of the conflict.", "hypothesis": "There are two sides of the conflict.", "label": "E", "metadata": {"context1": "SIETZEN:", "context2": "Much of the this discussion, unfortunately, was conducted in the press.", "target_sentence": "And there's been a great deal of acrimony on both sides of the conflict.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 97.88]}}
+{"uid": "1127-neg", "premise": "Marilyn and I used to spend hours dissecting our mother's every word, and examining ourselves in the mirror, wondering just when we might actually develop the coveted curves. Unlike our mother, we were both skinny girls. Both of our fathers weren't thin.", "hypothesis": "Together, we had two fathers.", "label": "E", "metadata": {"context1": "Marilyn and I used to spend hours dissecting our mother's every word, and examining ourselves in the mirror, wondering just when we might actually develop the coveted curves.", "context2": "Unlike our mother, we were both skinny girls.", "target_sentence": "Both of our fathers weren't thin.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 100.0, 66.17, 100.0, 99.98]}}
+{"uid": "1127", "premise": "Marilyn and I used to spend hours dissecting our mother's every word, and examining ourselves in the mirror, wondering just when we might actually develop the coveted curves. Unlike our mother, we were both skinny girls. Both of our fathers were thin.", "hypothesis": "Together, we had two fathers.", "label": "E", "metadata": {"context1": "Marilyn and I used to spend hours dissecting our mother's every word, and examining ourselves in the mirror, wondering just when we might actually develop the coveted curves.", "context2": "Unlike our mother, we were both skinny girls.", "target_sentence": "Both of our fathers were thin.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["E", "N", "E", "N", "E"], "ratings": [100.0, 81.29, 97.09, 63.32, 100.0]}}
+{"uid": "1128-neg", "premise": "Well, I think expectations on the ground is a major issues in this case. We would not like expectations to overtake reality. We have proceeded so far, in the 9 or 10 months, with a degree of caution, with patience, with courage, with (UNINTELLIGIBLE) ) to continue on that path, but it is not very important that both countries involved in the conflict weigh expectations in a way to not unduly impact, adversely impact, on the peace process itself", "hypothesis": "There are two countries involved in the conflict.", "label": "E", "metadata": {"context1": "Well, I think expectations on the ground is a major issues in this case.", "context2": "We would not like expectations to overtake reality.", "target_sentence": "We have proceeded so far, in the 9 or 10 months, with a degree of caution, with patience, with courage, with (UNINTELLIGIBLE) ) to continue on that path, but it is not very important that both countries involved in the conflict weigh expectations in a way to not unduly impact, adversely impact, on the peace process itself", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [96.49, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1128", "premise": "Well, I think expectations on the ground is a major issues in this case. We would not like expectations to overtake reality. We have proceeded so far, in the 9 or 10 months, with a degree of caution, with patience, with courage, with (UNINTELLIGIBLE) ) to continue on that path, but it is very important that both countries involved in the conflict weigh expectations in a way to not unduly impact, adversely impact, on the peace process itself", "hypothesis": "There are two countries involved in the conflict.", "label": "E", "metadata": {"context1": "Well, I think expectations on the ground is a major issues in this case.", "context2": "We would not like expectations to overtake reality.", "target_sentence": "We have proceeded so far, in the 9 or 10 months, with a degree of caution, with patience, with courage, with (UNINTELLIGIBLE) ) to continue on that path, but it is very important that both countries involved in the conflict weigh expectations in a way to not unduly impact, adversely impact, on the peace process itself", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.57, 99.85, 100.0, 98.92, 99.46]}}
+{"uid": "1130-neg", "premise": "Many islanders sold their land, reaping huge profits, and then they left, but many year-round workers have to commute because they cannot afford to live here. Ms-LORI They are not tired of burning the candles at both ends to make ends meet, tired of paying 50 cents a gallon more for gasoline or the high prices in the--in the grocery store.", "hypothesis": "Candles have two ends.", "label": "E", "metadata": {"context1": "Many islanders sold their land, reaping huge profits, and then they left, but many year-round workers have to commute because they cannot afford to live here.", "context2": "Ms-LORI", "target_sentence": "They are not tired of burning the candles at both ends to make ends meet, tired of paying 50 cents a gallon more for gasoline or the high prices in the--in the grocery store.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [99.46, 100.0, 65.18, 100.0, 100.0]}}
+{"uid": "1130", "premise": "Many islanders sold their land, reaping huge profits, and then they left, but many year-round workers have to commute because they cannot afford to live here. Ms-LORI They're tired of burning the candles at both ends to make ends meet, tired of paying 50 cents a gallon more for gasoline or the high prices in the--in the grocery store.", "hypothesis": "Candles have two ends.", "label": "E", "metadata": {"context1": "Many islanders sold their land, reaping huge profits, and then they left, but many year-round workers have to commute because they cannot afford to live here.", "context2": "Ms-LORI", "target_sentence": "They're tired of burning the candles at both ends to make ends meet, tired of paying 50 cents a gallon more for gasoline or the high prices in the--in the grocery store.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["E", "C", "E", "E", "E"], "ratings": [100.0, 0.0, 100.0, 100.0, 100.0]}}
+{"uid": "1131-neg", "premise": "I was going to ask you if there was going to be any struggle... SERWER I don't see any problem at all because folks on both side of the aisle don't have tremendous respect for him.", "hypothesis": "There are two sides of the aisle.", "label": "E", "metadata": {"context1": "I was going to ask you if there was going to be any struggle...", "context2": "SERWER", "target_sentence": "I don't see any problem at all because folks on both side of the aisle don't have tremendous respect for him.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 94.88, 97.79, 98.11, 100.0]}}
+{"uid": "1131", "premise": "I was going to ask you if there was going to be any struggle... SERWER I don't see any problem at all because folks on both side of the aisle have tremendous respect for him.", "hypothesis": "There are two sides of the aisle.", "label": "E", "metadata": {"context1": "I was going to ask you if there was going to be any struggle...", "context2": "SERWER", "target_sentence": "I don't see any problem at all because folks on both side of the aisle have tremendous respect for him.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 94.68, 100.0, 100.0]}}
+{"uid": "1133-neg", "premise": " Sometimes during those fall days she stopped to rest on one of the swamp's dirt roads. She didn't open both car doors and sat listening, waiting.", "hypothesis": "The car has two doors.", "label": "E", "metadata": {"context1": "", "context2": "Sometimes during those fall days she stopped to rest on one of the swamp's dirt roads.", "target_sentence": "She didn't open both car doors and sat listening, waiting.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["E", "N", "E", "E", "N"], "ratings": [99.94, 78.46, 100.0, 100.0, 76.48]}}
+{"uid": "1133", "premise": " Sometimes during those fall days she stopped to rest on one of the swamp's dirt roads. She opened both car doors and sat listening, waiting.", "hypothesis": "The car has two doors.", "label": "E", "metadata": {"context1": "", "context2": "Sometimes during those fall days she stopped to rest on one of the swamp's dirt roads.", "target_sentence": "She opened both car doors and sat listening, waiting.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 99.93, 100.0, 82.2, 100.0]}}
+{"uid": "1134-neg", "premise": " In addition to being successful as a lawyer and agent, my parents became judicious backers of new Broadway shows, on David Merrick's and Kermit Bloomgarden's A lists. They moved into the huge Riverside Drive apartment shortly before my sister was born, a year ahead of me, both of us were not late kids, and bought the apartment when the building went co-op in the seventies.", "hypothesis": "My parents had two kids.", "label": "N", "metadata": {"context1": "", "context2": "In addition to being successful as a lawyer and agent, my parents became judicious backers of new Broadway shows, on David Merrick's and Kermit Bloomgarden's A lists.", "target_sentence": "They moved into the huge Riverside Drive apartment shortly before my sister was born, a year ahead of me, both of us were not late kids, and bought the apartment when the building went co-op in the seventies.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["N", "N", "E", "N", "E"], "ratings": [73.27, 90.42, 99.85, 75.34, 100.0]}}
+{"uid": "1134", "premise": " In addition to being successful as a lawyer and agent, my parents became judicious backers of new Broadway shows, on David Merrick's and Kermit Bloomgarden's A lists. They moved into the huge Riverside Drive apartment shortly before my sister was born, a year ahead of me, both of us were late kids, and bought the apartment when the building went co-op in the seventies.", "hypothesis": "My parents had two kids.", "label": "N", "metadata": {"context1": "", "context2": "In addition to being successful as a lawyer and agent, my parents became judicious backers of new Broadway shows, on David Merrick's and Kermit Bloomgarden's A lists.", "target_sentence": "They moved into the huge Riverside Drive apartment shortly before my sister was born, a year ahead of me, both of us were late kids, and bought the apartment when the building went co-op in the seventies.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["N", "E", "N", "E", "N"], "ratings": [81.86, 95.59, 49.85, 100.0, 90.5]}}
+{"uid": "1135-neg", "premise": "  In both stories told that night, Marley didn't hope that terrifying change can be survived.", "hypothesis": "There were two stories told that night.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "In both stories told that night, Marley didn't hope that terrifying change can be survived.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.69, 100.0, 100.0, 99.43, 100.0]}}
+{"uid": "1135", "premise": "  In both stories told that night, Marley saw hope that terrifying change can be survived.", "hypothesis": "There were two stories told that night.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "In both stories told that night, Marley saw hope that terrifying change can be survived.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1136-neg", "premise": "Star Trek Beyond front-loads the story with destruction and devastation, then rushes through the backstory so close to the end that there's no time to fill in all the mystifying gaps. Just as it's never clear why Kirk somehow thinks piloting a space-station desk might be more fulfilling and less \"episodic\" than space exploration, the film skims past Krall's motives, and in both cases discusses here, the lack of explanation doesn't nullify the threat.", "hypothesis": "There are two cases discussed here.", "label": "E", "metadata": {"context1": "Star Trek", "context2": "Beyond front-loads the story with destruction and devastation, then rushes through the backstory so close to the end that there's no time to fill in all the mystifying gaps.", "target_sentence": "Just as it's never clear why Kirk somehow thinks piloting a space-station desk might be more fulfilling and less \"episodic\" than space exploration, the film skims past Krall's motives, and in both cases discusses here, the lack of explanation doesn't nullify the threat.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.31, 100.0, 100.0]}}
+{"uid": "1136", "premise": "Star Trek Beyond front-loads the story with destruction and devastation, then rushes through the backstory so close to the end that there's no time to fill in all the mystifying gaps. Just as it's never clear why Kirk somehow thinks piloting a space-station desk might be more fulfilling and less \"episodic\" than space exploration, the film skims past Krall's motives, and in both cases discussed here, the lack of explanation nullifies the threat.", "hypothesis": "There are two cases discussed here.", "label": "E", "metadata": {"context1": "Star Trek", "context2": "Beyond front-loads the story with destruction and devastation, then rushes through the backstory so close to the end that there's no time to fill in all the mystifying gaps.", "target_sentence": "Just as it's never clear why Kirk somehow thinks piloting a space-station desk might be more fulfilling and less \"episodic\" than space exploration, the film skims past Krall's motives, and in both cases discussed here, the lack of explanation nullifies the threat.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [6.53, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1137-neg", "premise": "Last week, Murkowski floated the idea of including it on the bill giving Congress power to review Obama's nuclear deal with Iran. \"Here we are thinking about lifting the sanctions on Iran and letting them export, and yet here we have sanctions in America that we can't export our oil,\" Harold Hamm, CEO of Continental Resources, an oil company heavily involved in shale drilling, said last month. In both instances of legislation proposals considered by Republicans, the senators didn't back off over concerns that an oil exports debate could derail the larger piece of legislation.", "hypothesis": "There were two legislation proposals considered by Republicans.", "label": "E", "metadata": {"context1": "Last week, Murkowski floated the idea of including it on the bill giving Congress power to review Obama's nuclear deal with Iran.", "context2": "\"Here we are thinking about lifting the sanctions on Iran and letting them export, and yet here we have sanctions in America that we can't export our oil,\" Harold Hamm, CEO of Continental Resources, an oil company heavily involved in shale drilling, said last month.", "target_sentence": "In both instances of legislation proposals considered by Republicans, the senators didn't back off over concerns that an oil exports debate could derail the larger piece of legislation.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.31, 98.92, 100.0, 100.0]}}
+{"uid": "1137", "premise": "Last week, Murkowski floated the idea of including it on the bill giving Congress power to review Obama's nuclear deal with Iran. \"Here we are thinking about lifting the sanctions on Iran and letting them export, and yet here we have sanctions in America that we can't export our oil,\" Harold Hamm, CEO of Continental Resources, an oil company heavily involved in shale drilling, said last month. In both instances of legislation proposals considered by Republicans, the senators backed off over concerns that an oil exports debate could derail the larger piece of legislation.", "hypothesis": "There were two legislation proposals considered by Republicans.", "label": "E", "metadata": {"context1": "Last week, Murkowski floated the idea of including it on the bill giving Congress power to review Obama's nuclear deal with Iran.", "context2": "\"Here we are thinking about lifting the sanctions on Iran and letting them export, and yet here we have sanctions in America that we can't export our oil,\" Harold Hamm, CEO of Continental Resources, an oil company heavily involved in shale drilling, said last month.", "target_sentence": "In both instances of legislation proposals considered by Republicans, the senators backed off over concerns that an oil exports debate could derail the larger piece of legislation.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [91.68, 100.0, 100.0, 95.96, 100.0]}}
+{"uid": "1139-neg", "premise": "We've turned over all of our financial information. With all due respect, to say that the players haven't had all of the information, including all the information on related party transactions, is just not so. The fact is, as far as trust is concerned, you know, both sides of the conflict don't come with a lot of baggage.", "hypothesis": "There are two sides of the conflict.", "label": "E", "metadata": {"context1": "We've turned over all of our financial information.", "context2": "With all due respect, to say that the players haven't had all of the information, including all the information on related party transactions, is just not so.", "target_sentence": "The fact is, as far as trust is concerned, you know, both sides of the conflict don't come with a lot of baggage.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.22, 96.31, 100.0]}}
+{"uid": "1139", "premise": "We've turned over all of our financial information. With all due respect, to say that the players haven't had all of the information, including all the information on related party transactions, is just not so. The fact is, as far as trust is concerned, you know, both sides of the conflict come with a lot of baggage.", "hypothesis": "There are two sides of the conflict.", "label": "E", "metadata": {"context1": "We've turned over all of our financial information.", "context2": "With all due respect, to say that the players haven't had all of the information, including all the information on related party transactions, is just not so.", "target_sentence": "The fact is, as far as trust is concerned, you know, both sides of the conflict come with a lot of baggage.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.33, 100.0, 86.27, 100.0, 79.89]}}
+{"uid": "1140-neg", "premise": "VAN-SUSTEREN: In terms of Iowa, the caucus, if you have a job that doesn't let you takeoff the night of the caucus, you can't vote. In Iowa, you are not excluded from the system in both parties in the election.", "hypothesis": "There are exactly two parties in the election.", "label": "E", "metadata": {"context1": "VAN-SUSTEREN:", "context2": "In terms of Iowa, the caucus, if you have a job that doesn't let you takeoff the night of the caucus, you can't vote.", "target_sentence": "In Iowa, you are not excluded from the system in both parties in the election.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [94.94, 27.52, 98.84, 99.91, 100.0]}}
+{"uid": "1140", "premise": "VAN-SUSTEREN: In terms of Iowa, the caucus, if you have a job that doesn't let you takeoff the night of the caucus, you can't vote. In Iowa, you are excluded from the system in both parties in the election.", "hypothesis": "There are exactly two parties in the election.", "label": "N", "metadata": {"context1": "VAN-SUSTEREN:", "context2": "In terms of Iowa, the caucus, if you have a job that doesn't let you takeoff the night of the caucus, you can't vote.", "target_sentence": "In Iowa, you are excluded from the system in both parties in the election.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["E", "N", "N", "E", "N"], "ratings": [96.54, 7.99, 68.69, 100.0, 83.43]}}
+{"uid": "1141-neg", "premise": "Most ambitious is \"The Road.\" Its first four parts, completed in 1997, are included here; the second four he hopes to finish soon. Most of the pieces in the first four parts are short, and it doesn't take two CD's to encompass all 32 pieces.", "hypothesis": "There are 32 pieces on the two CDs.", "label": "N", "metadata": {"context1": "Most ambitious is \"The Road.\"", "context2": "Its first four parts, completed in 1997, are included here; the second four he hopes to finish soon.", "target_sentence": "Most of the pieces in the first four parts are short, and it doesn't take two CD's to encompass all 32 pieces.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'all'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["N", "N", "E", "N", "N"], "ratings": [68.69, 16.47, 91.02, 20.46, 24.91]}}
+{"uid": "1141", "premise": "Most ambitious is \"The Road.\" Its first four parts, completed in 1997, are included here; the second four he hopes to finish soon. Most of the pieces in the first four parts are short, and it takes two CD's to encompass all 32 pieces.", "hypothesis": "There are 32 pieces on the two CDs.", "label": "E", "metadata": {"context1": "Most ambitious is \"The Road.\"", "context2": "Its first four parts, completed in 1997, are included here; the second four he hopes to finish soon.", "target_sentence": "Most of the pieces in the first four parts are short, and it takes two CD's to encompass all 32 pieces.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'all'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.49, 99.95, 100.0]}}
+{"uid": "1144-neg", "premise": " This approach is suitable if TP data are available from a random subset of lakes, and if the percentage of lakes above minimum impact levels is known; the 25th percentile is most appropriate where 75% of the lakes exceed minimal impact levels. In practice, both of these conditions mentioned above are rarely not met (Herlihy and Sifneos 2008).", "hypothesis": "There are two condition mentioned above.", "label": "E", "metadata": {"context1": "", "context2": "This approach is suitable if TP data are available from a random subset of lakes, and if the percentage of lakes above minimum impact levels is known; the 25th percentile is most appropriate where 75% of the lakes exceed minimal impact levels.", "target_sentence": "In practice, both of these conditions mentioned above are rarely not met (Herlihy and Sifneos 2008).", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 99.02, 58.21, 100.0, 100.0]}}
+{"uid": "1144", "premise": " This approach is suitable if TP data are available from a random subset of lakes, and if the percentage of lakes above minimum impact levels is known; the 25th percentile is most appropriate where 75% of the lakes exceed minimal impact levels. In practice, both of these conditions mentioned above are rarely met (Herlihy and Sifneos 2008).", "hypothesis": "There are two condition mentioned above.", "label": "E", "metadata": {"context1": "", "context2": "This approach is suitable if TP data are available from a random subset of lakes, and if the percentage of lakes above minimum impact levels is known; the 25th percentile is most appropriate where 75% of the lakes exceed minimal impact levels.", "target_sentence": "In practice, both of these conditions mentioned above are rarely met (Herlihy and Sifneos 2008).", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [98.37, 90.5, 100.0, 100.0, 100.0]}}
+{"uid": "1145-neg", "premise": " Their kids have played sports together. Women from both sides of town didn't form a mothers group.", "hypothesis": "There are two sides of town.", "label": "E", "metadata": {"context1": "", "context2": "Their kids have played sports together.", "target_sentence": "Women from both sides of town didn't form a mothers group.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [95.4, 100.0, 100.0, 99.59, 98.54]}}
+{"uid": "1145", "premise": " Their kids have played sports together. Women from both sides of town formed a mothers group.", "hypothesis": "There are two sides of town.", "label": "E", "metadata": {"context1": "", "context2": "Their kids have played sports together.", "target_sentence": "Women from both sides of town formed a mothers group.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.5, 98.81, 99.62, 99.69, 99.83]}}
+{"uid": "1150-neg", "premise": "MANN Russia's contract killers were believed to be at their busiest in the mid-Nineties, when the country was still reeling from the breakup of the Soviet Union and its criminals were fighting for the spoils. The Russian state didn't reassert control and a new ownership class emerged to run the economy.", "hypothesis": "The Russian state had previously asserted control before the mid-Nineties.", "label": "N", "metadata": {"context1": "MANN", "context2": "Russia's contract killers were believed to be at their busiest in the mid-Nineties, when the country was still reeling from the breakup of the Soviet Union and its criminals were fighting for the spoils.", "target_sentence": "The Russian state didn't reassert control and a new ownership class emerged to run the economy.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reasserted'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["N", "E", "N", "N", "E"], "ratings": [85.76, 99.99, 86.07, 94.26, 100.0]}}
+{"uid": "1150", "premise": "MANN Russia's contract killers were believed to be at their busiest in the mid-Nineties, when the country was still reeling from the breakup of the Soviet Union and its criminals were fighting for the spoils. The Russian state reasserted control and a new ownership class emerged to run the economy.", "hypothesis": "The Russian state had previously asserted control before the mid-Nineties.", "label": "E", "metadata": {"context1": "MANN", "context2": "Russia's contract killers were believed to be at their busiest in the mid-Nineties, when the country was still reeling from the breakup of the Soviet Union and its criminals were fighting for the spoils.", "target_sentence": "The Russian state reasserted control and a new ownership class emerged to run the economy.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reasserted'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 99.4, 78.82, 100.0, 87.37]}}
+{"uid": "1153-neg", "premise": "I'm not looking for a--a colony on the moon. I think the cost of that would be in the hundreds of billions, if not trillions. I'd rather not be rebuilding housing here in the U.S.", "hypothesis": "Housing in the US has previously been built.", "label": "E", "metadata": {"context1": "I'm not looking for a--a colony on the moon.", "context2": "I think the cost of that would be in the hundreds of billions, if not trillions.", "target_sentence": "I'd rather not be rebuilding housing here in the U.S.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'rebuilding'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1153", "premise": "I'm not looking for a--a colony on the moon. I think the cost of that would be in the hundreds of billions, if not trillions. I'd rather be rebuilding housing here in the U.S.", "hypothesis": "Housing in the US has previously been built.", "label": "E", "metadata": {"context1": "I'm not looking for a--a colony on the moon.", "context2": "I think the cost of that would be in the hundreds of billions, if not trillions.", "target_sentence": "I'd rather be rebuilding housing here in the U.S.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'rebuilding'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1156-neg", "premise": "Many of the 3,600 temples were destroyed, a serious loss because the temples are the centers of the local communities. During the walks we've stayed in some that were little more than four walls, or even no walls, with nothing there but a statue of Buddha with the head and arms shot off. But the people are not rebuilding the temples and repairing the statues, and now religion is making a strong comeback.", "hypothesis": "The temples had been built before.", "label": "E", "metadata": {"context1": "Many of the 3,600 temples were destroyed, a serious loss because the temples are the centers of the local communities.", "context2": "During the walks we've stayed in some that were little more than four walls, or even no walls, with nothing there but a statue of Buddha with the head and arms shot off.", "target_sentence": "But the people are not rebuilding the temples and repairing the statues, and now religion is making a strong comeback.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'rebuilding'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.34, 99.37, 100.0, 100.0, 100.0]}}
+{"uid": "1156", "premise": "Many of the 3,600 temples were destroyed, a serious loss because the temples are the centers of the local communities. During the walks we've stayed in some that were little more than four walls, or even no walls, with nothing there but a statue of Buddha with the head and arms shot off. But the people are rebuilding the temples and repairing the statues, and now religion is making a strong comeback.", "hypothesis": "The temples had been built before.", "label": "E", "metadata": {"context1": "Many of the 3,600 temples were destroyed, a serious loss because the temples are the centers of the local communities.", "context2": "During the walks we've stayed in some that were little more than four walls, or even no walls, with nothing there but a statue of Buddha with the head and arms shot off.", "target_sentence": "But the people are rebuilding the temples and repairing the statues, and now religion is making a strong comeback.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'rebuilding'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1158-neg", "premise": " House Democrats reinstated their two top leaders-and elevated Martin Frost of Texas to the post of caucus chairman. Richard Gephardt of Missouri and David Bonior of Michigan weren't reelected minority leader and whip, respectively.", "hypothesis": "Richard Gephardt and David Bonior had previously been elected minority leader and whip.", "label": "E", "metadata": {"context1": "", "context2": "House Democrats reinstated their two top leaders-and elevated Martin Frost of Texas to the post of caucus chairman.", "target_sentence": "Richard Gephardt of Missouri and David Bonior of Michigan weren't reelected minority leader and whip, respectively.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reelected'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 95.14, 100.0, 100.0, 100.0]}}
+{"uid": "1158", "premise": " House Democrats reinstated their two top leaders-and elevated Martin Frost of Texas to the post of caucus chairman. Richard Gephardt of Missouri and David Bonior of Michigan were reelected minority leader and whip, respectively.", "hypothesis": "Richard Gephardt and David Bonior had previously been elected minority leader and whip.", "label": "E", "metadata": {"context1": "", "context2": "House Democrats reinstated their two top leaders-and elevated Martin Frost of Texas to the post of caucus chairman.", "target_sentence": "Richard Gephardt of Missouri and David Bonior of Michigan were reelected minority leader and whip, respectively.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reelected'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1159-neg", "premise": "  In recent years the photographer hasn't regained a certain power over the politician.", "hypothesis": "Photographers previously had a certain power over politicians.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "In recent years the photographer hasn't regained a certain power over the politician.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'regained'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.57, 99.94, 100.0, 100.0, 100.0]}}
+{"uid": "1159", "premise": "  In recent years the photographer has regained a certain power over the politician.", "hypothesis": "Photographers previously had a certain power over politicians.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "In recent years the photographer has regained a certain power over the politician.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'regained'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["N", "E", "N", "E", "E"], "ratings": [92.25, 100.0, 42.38, 96.14, 100.0]}}
+{"uid": "116-neg", "premise": "And even that may have been a little low, \" Bane said. Although Strasburg was baseball's consensus No. 1 pick, a once-in-a-generation talent who has lived up to the billing so far in his major league career, there was at least one voice in the Angels' draft room who dissented. I thought there was a better player than Mikey.", "hypothesis": "Mikey was a player.", "label": "E", "metadata": {"context1": "And even that may have been a little low, \" Bane said.", "context2": "Although Strasburg was baseball's consensus No. 1 pick, a once-in-a-generation talent who has lived up to the billing so far in his major league career, there was at least one voice in the Angels' draft room who dissented.", "target_sentence": "I thought there was a better player than Mikey.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'adjective': 'better', 'noun': 'player'}", "trigger_type": "comparatives", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 99.95, 100.0]}}
+{"uid": "116", "premise": "And even that may have been a little low, \" Bane said. Although Strasburg was baseball's consensus No. 1 pick, a once-in-a-generation talent who has lived up to the billing so far in his major league career, there was at least one voice in the Angels' draft room who dissented. I didn't think there was a better player than Mikey.", "hypothesis": "Mikey was a player.", "label": "E", "metadata": {"context1": "And even that may have been a little low, \" Bane said.", "context2": "Although Strasburg was baseball's consensus No. 1 pick, a once-in-a-generation talent who has lived up to the billing so far in his major league career, there was at least one voice in the Angels' draft room who dissented.", "target_sentence": "I didn't think there was a better player than Mikey.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'adjective': 'better', 'noun': 'player'}", "trigger_type": "comparatives", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.94, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1160-neg", "premise": " As he was securing a separation and divorce from his first wife, Engler had what might be called an active social life, leading to the same sort of rumors about womanizing that have plagued Clinton. But Engler hasn't remarried, and supporters argue his new role as father to triplets should assuage any concerns.", "hypothesis": "Engler had been married before.", "label": "E", "metadata": {"context1": "", "context2": "As he was securing a separation and divorce from his first wife, Engler had what might be called an active social life, leading to the same sort of rumors about womanizing that have plagued Clinton.", "target_sentence": "But Engler hasn't remarried, and supporters argue his new role as father to triplets should assuage any concerns.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'remarried'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1160", "premise": " As he was securing a separation and divorce from his first wife, Engler had what might be called an active social life, leading to the same sort of rumors about womanizing that have plagued Clinton. But Engler has remarried, and supporters argue his new role as father to triplets should assuage any concerns.", "hypothesis": "Engler had been married before.", "label": "E", "metadata": {"context1": "", "context2": "As he was securing a separation and divorce from his first wife, Engler had what might be called an active social life, leading to the same sort of rumors about womanizing that have plagued Clinton.", "target_sentence": "But Engler has remarried, and supporters argue his new role as father to triplets should assuage any concerns.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'remarried'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1163-neg", "premise": " When Jackson took the Chicago job in 1989, Jordan had been in the league five years but had never played for a championship team. Jackson didn't restructure the offense, shifting from plays that isolated Jordan against overmatched opponents to getting other players more involved.", "hypothesis": "The offense had been structured before.", "label": "N", "metadata": {"context1": "", "context2": "When Jackson took the Chicago job in 1989, Jordan had been in the league five years but had never played for a championship team.", "target_sentence": "Jackson didn't restructure the offense, shifting from plays that isolated Jordan against overmatched opponents to getting other players more involved.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'restructured'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["N", "N", "E", "E", "N"], "ratings": [49.1, 3.46, 100.0, 95.9, 78.46]}}
+{"uid": "1163", "premise": " When Jackson took the Chicago job in 1989, Jordan had been in the league five years but had never played for a championship team. Jackson restructured the offense, shifting from plays that isolated Jordan against overmatched opponents to getting other players more involved.", "hypothesis": "The offense had been structured before.", "label": "E", "metadata": {"context1": "", "context2": "When Jackson took the Chicago job in 1989, Jordan had been in the league five years but had never played for a championship team.", "target_sentence": "Jackson restructured the offense, shifting from plays that isolated Jordan against overmatched opponents to getting other players more involved.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'restructured'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [97.98, 98.77, 95.14, 100.0, 100.0]}}
+{"uid": "1165-neg", "premise": " VIC #That's true. Vic doesn't regain his train of thought.", "hypothesis": "Vic previously had a coherent thought.", "label": "N", "metadata": {"context1": "", "context2": "VIC #That's true.", "target_sentence": "Vic doesn't regain his train of thought.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'regains'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["N", "E", "E", "N", "N"], "ratings": [58.5, 100.0, 100.0, 76.1, 84.29]}}
+{"uid": "1165", "premise": " VIC #That's true. Vic regains his train of thought.", "hypothesis": "Vic previously had a coherent thought.", "label": "E", "metadata": {"context1": "", "context2": "VIC #That's true.", "target_sentence": "Vic regains his train of thought.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'regains'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["E", "N", "E", "N", "E"], "ratings": [99.83, 90.59, 99.71, 77.1, 99.22]}}
+{"uid": "1167-neg", "premise": "They had the count cleared in less than an hour. The cops did, that is. The yard didn't reopen and the store remained closed.", "hypothesis": "The yard had been previously opened.", "label": "E", "metadata": {"context1": "They had the count cleared in less than an hour.", "context2": "The cops did, that is.", "target_sentence": "The yard didn't reopen and the store remained closed.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reopened'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.85, 99.73, 100.0, 100.0]}}
+{"uid": "1167", "premise": "They had the count cleared in less than an hour. The cops did, that is. The yard reopened and the store remained closed.", "hypothesis": "The yard had been previously opened.", "label": "E", "metadata": {"context1": "They had the count cleared in less than an hour.", "context2": "The cops did, that is.", "target_sentence": "The yard reopened and the store remained closed.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reopened'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["E", "C", "E", "E", "E"], "ratings": [96.54, 0.0, 100.0, 100.0, 100.0]}}
+{"uid": "1168-neg", "premise": "In September, OSHA proposed cutting in half the permissible levels of exposure to crystalline silica at work sites. Minnesota recently began testing for crystalline silica and other fine particles at mines and along a busy haul route. It isn't rewriting air-quality standards for sand mining.", "hypothesis": "Air-quality standards for sand mining have been previously established.", "label": "E", "metadata": {"context1": "In September, OSHA proposed cutting in half the permissible levels of exposure to crystalline silica at work sites.", "context2": "Minnesota recently began testing for crystalline silica and other fine particles at mines and along a busy haul route.", "target_sentence": "It isn't rewriting air-quality standards for sand mining.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'rewriting'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["E", "N", "E", "N", "E"], "ratings": [100.0, 95.59, 100.0, 78.82, 96.71]}}
+{"uid": "1168", "premise": "In September, OSHA proposed cutting in half the permissible levels of exposure to crystalline silica at work sites. Minnesota recently began testing for crystalline silica and other fine particles at mines and along a busy haul route. It is rewriting air-quality standards for sand mining.", "hypothesis": "Air-quality standards for sand mining have been previously established.", "label": "E", "metadata": {"context1": "In September, OSHA proposed cutting in half the permissible levels of exposure to crystalline silica at work sites.", "context2": "Minnesota recently began testing for crystalline silica and other fine particles at mines and along a busy haul route.", "target_sentence": "It is rewriting air-quality standards for sand mining.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'rewriting'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 9.33, 100.0, 100.0, 100.0]}}
+{"uid": "1169-neg", "premise": "In fact, Ms. Cooper noticed that most children in her class would benefit from learning how to make connections and improve their understanding of the text; therefore, the rest of the students were similarly arranged, with four to six children in a group, according to their reading levels. Although the groups were reading different material, they all received instruction about how to make connections to improve comprehension. Finally, Ms. Cooper knew these groups could not be stagnant: She didn't rearrange the children every few weeks according to their reading progress and their shifting literacy needs and strengths.", "hypothesis": "The children had been previously arranged in some way.", "label": "E", "metadata": {"context1": "In fact, Ms. Cooper noticed that most children in her class would benefit from learning how to make connections and improve their understanding of the text; therefore, the rest of the students were similarly arranged, with four to six children in a group, according to their reading levels.", "context2": "Although the groups were reading different material, they all received instruction about how to make connections to improve comprehension.", "target_sentence": "Finally, Ms. Cooper knew these groups could not be stagnant: She didn't rearrange the children every few weeks according to their reading progress and their shifting literacy needs and strengths.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'rearranged'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["C", "E", "E", "N", "E"], "ratings": [0.0, 100.0, 100.0, 82.65, 100.0]}}
+{"uid": "1169", "premise": "In fact, Ms. Cooper noticed that most children in her class would benefit from learning how to make connections and improve their understanding of the text; therefore, the rest of the students were similarly arranged, with four to six children in a group, according to their reading levels. Although the groups were reading different material, they all received instruction about how to make connections to improve comprehension. Finally, Ms. Cooper knew these groups could not be stagnant: She rearranged the children every few weeks according to their reading progress and their shifting literacy needs and strengths.", "hypothesis": "The children had been previously arranged in some way.", "label": "E", "metadata": {"context1": "In fact, Ms. Cooper noticed that most children in her class would benefit from learning how to make connections and improve their understanding of the text; therefore, the rest of the students were similarly arranged, with four to six children in a group, according to their reading levels.", "context2": "Although the groups were reading different material, they all received instruction about how to make connections to improve comprehension.", "target_sentence": "Finally, Ms. Cooper knew these groups could not be stagnant: She rearranged the children every few weeks according to their reading progress and their shifting literacy needs and strengths.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'rearranged'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 99.77, 100.0]}}
+{"uid": "117", "premise": "Even on the domestic front, both corporations and public bureaucracies (including, of course, universities) are persuaded of the necessity of \"diversity training\" not only for moral reasons but as a management and marketing imperative. And diversity training is what multiculturalism is all about. So accounting or computer science as the main course, with a little multiculturalism on the side, would seem to be a far more useful preparation for the \"culture\" that really matters to many students today--namely corporate-bureaucratic culture--than the study of Homer or the Bible.", "hypothesis": "The study of Homer or the Bible is a preparation for the \"culture\" that really matters to many students today.", "label": "C", "metadata": {"context1": "Even on the domestic front, both corporations and public bureaucracies (including, of course, universities) are persuaded of the necessity of \"diversity training\" not only for moral reasons but as a management and marketing imperative.", "context2": "And diversity training is what multiculturalism is all about.", "target_sentence": "So accounting or computer science as the main course, with a little multiculturalism on the side, would seem to be a far more useful preparation for the \"culture\" that really matters to many students today--namely corporate-bureaucratic culture--than the study of Homer or the Bible.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'useful', 'noun': 'preparation'}", "trigger_type": "comparatives", "annotator": "ZZ", "nli_labels": ["E", "C", "C", "C", "N"], "ratings": [100.0, 1.63, 0.54, 0.21, 4.41]}}
+{"uid": "1171-neg", "premise": "They have the kid. And he says, This ain't for me. Betty eventually doesn't remarry.", "hypothesis": "Betty has been married before.", "label": "E", "metadata": {"context1": "They have the kid.", "context2": "And he says, This ain't for me.", "target_sentence": "Betty eventually doesn't remarry.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'remarries'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [91.02, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1171", "premise": "They have the kid. And he says, This ain't for me. Betty eventually remarries.", "hypothesis": "Betty has been married before.", "label": "E", "metadata": {"context1": "They have the kid.", "context2": "And he says, This ain't for me.", "target_sentence": "Betty eventually remarries.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'remarries'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.16, 100.0, 100.0]}}
+{"uid": "1174-neg", "premise": " Milwaukee: Bucks coach Chris Ford and point G Sherman Douglas haven't been reunited in Milwaukee this season.", "hypothesis": "Chris Ford and Sherman Douglas were part of the same team earlier.", "label": "E", "metadata": {"context1": "", "context2": "Milwaukee:", "target_sentence": "Bucks coach Chris Ford and point G Sherman Douglas haven't been reunited in Milwaukee this season.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reunited'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["N", "N", "E", "E", "E"], "ratings": [79.54, 50.9, 100.0, 100.0, 100.0]}}
+{"uid": "1174", "premise": " Milwaukee: Bucks coach Chris Ford and point G Sherman Douglas have been reunited in Milwaukee this season.", "hypothesis": "Chris Ford and Sherman Douglas were part of the same team earlier.", "label": "E", "metadata": {"context1": "", "context2": "Milwaukee:", "target_sentence": "Bucks coach Chris Ford and point G Sherman Douglas have been reunited in Milwaukee this season.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reunited'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.91, 100.0, 100.0, 99.69]}}
+{"uid": "1175-neg", "premise": "It was the cut heard around the world. A young wife, Lorena Bobbitt, claiming abuse, lashed out at her husband's penis. The doctors didn't reattach the organ.", "hypothesis": "His penis was attached earlier.", "label": "E", "metadata": {"context1": "It was the cut heard around the world.", "context2": "A young wife, Lorena Bobbitt, claiming abuse, lashed out at her husband's penis.", "target_sentence": "The doctors didn't reattach the organ.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reattached'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 97.55, 100.0]}}
+{"uid": "1175", "premise": "It was the cut heard around the world. A young wife, Lorena Bobbitt, claiming abuse, lashed out at her husband's penis. The doctors reattached the organ.", "hypothesis": "His penis was attached earlier.", "label": "E", "metadata": {"context1": "It was the cut heard around the world.", "context2": "A young wife, Lorena Bobbitt, claiming abuse, lashed out at her husband's penis.", "target_sentence": "The doctors reattached the organ.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reattached'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.4, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1176-neg", "premise": "Buddhists remind us of the need to face and accept death. The Jewish story of Sarah and Abraham speaks to later-life rebirth, joyful and creative. Taoism doesn't reconnect aging to the great cycles of nature.", "hypothesis": "Aging has been connected to the great cycles of nature before.", "label": "N", "metadata": {"context1": "Buddhists remind us of the need to face and accept death.", "context2": "The Jewish story of Sarah and Abraham speaks to later-life rebirth, joyful and creative.", "target_sentence": "Taoism doesn't reconnect aging to the great cycles of nature.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reconnects'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["N", "E", "N", "N", "E"], "ratings": [21.42, 100.0, 90.93, 22.03, 100.0]}}
+{"uid": "1176", "premise": "Buddhists remind us of the need to face and accept death. The Jewish story of Sarah and Abraham speaks to later-life rebirth, joyful and creative. Taoism reconnects aging to the great cycles of nature.", "hypothesis": "Aging has been connected to the great cycles of nature before.", "label": "E", "metadata": {"context1": "Buddhists remind us of the need to face and accept death.", "context2": "The Jewish story of Sarah and Abraham speaks to later-life rebirth, joyful and creative.", "target_sentence": "Taoism reconnects aging to the great cycles of nature.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reconnects'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [92.17, 96.77, 73.66, 100.0, 100.0]}}
+{"uid": "1178-neg", "premise": "Please go tell her we need it, and need it now. ' He excused himself and went to the kitchen where he delivered the message to their housekeeper. He didn't rejoin the guests and was asked again how his consulting business was progressing.", "hypothesis": "He had joined the guests earlier.", "label": "E", "metadata": {"context1": "Please go tell her we need it, and need it now. '", "context2": "He excused himself and went to the kitchen where he delivered the message to their housekeeper.", "target_sentence": "He didn't rejoin the guests and was asked again how his consulting business was progressing.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'rejoined'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 91.02, 99.31, 85.24]}}
+{"uid": "1178", "premise": "Please go tell her we need it, and need it now. ' He excused himself and went to the kitchen where he delivered the message to their housekeeper. He rejoined the guests and was asked again how his consulting business was progressing.", "hypothesis": "He had joined the guests earlier.", "label": "E", "metadata": {"context1": "Please go tell her we need it, and need it now. '", "context2": "He excused himself and went to the kitchen where he delivered the message to their housekeeper.", "target_sentence": "He rejoined the guests and was asked again how his consulting business was progressing.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'rejoined'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [100.0, 100.0, 98.77, 100.0, 78.33]}}
+{"uid": "1179-neg", "premise": "And it still continues to be a struggle for many of us. COOPER Why is more being rebuilt IN THE Lower Ninth Ward?", "hypothesis": "Things have been built before in the Lower Ninth Ward.", "label": "E", "metadata": {"context1": "And it still continues to be a struggle for many of us.", "context2": "COOPER", "target_sentence": "Why is more being rebuilt IN THE Lower Ninth Ward?", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'rebuilt'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 95.4, 99.02]}}
+{"uid": "1179", "premise": "And it still continues to be a struggle for many of us. COOPER Why isn't more being rebuilt IN THE Lower Ninth Ward?", "hypothesis": "Things have been built before in the Lower Ninth Ward.", "label": "E", "metadata": {"context1": "And it still continues to be a struggle for many of us.", "context2": "COOPER", "target_sentence": "Why isn't more being rebuilt IN THE Lower Ninth Ward?", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'rebuilt'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.02, 97.6, 97.25, 100.0]}}
+{"uid": "118-neg", "premise": "Centering Efforts The Life And PLanets Astrobiology CEnter (LAPLACE) of the University of Arizona grew out of a project of the same name funded by NASA's astrobiology program. NASA didn't begin using the term astrobiology in 1995 but established the virtual institute, NAI, in 1997.", "hypothesis": "NASA wasn't using the term astrobiology before 1995.", "label": "N", "metadata": {"context1": "Centering Efforts", "context2": "The Life And PLanets Astrobiology CEnter (LAPLACE) of the University of Arizona grew out of a project of the same name funded by NASA's astrobiology program.", "target_sentence": "NASA didn't begin using the term astrobiology in 1995 but established the virtual institute, NAI, in 1997.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["E", "N", "E", "N", "N"], "ratings": [98.69, 85.14, 99.46, 73.66, 4.67]}}
+{"uid": "118", "premise": "Centering Efforts The Life And PLanets Astrobiology CEnter (LAPLACE) of the University of Arizona grew out of a project of the same name funded by NASA's astrobiology program. NASA began using the term astrobiology in 1995 and established the virtual institute, NAI, in 1997.", "hypothesis": "NASA wasn't using the term astrobiology before 1995.", "label": "E", "metadata": {"context1": "Centering Efforts", "context2": "The Life And PLanets Astrobiology CEnter (LAPLACE) of the University of Arizona grew out of a project of the same name funded by NASA's astrobiology program.", "target_sentence": "NASA began using the term astrobiology in 1995 and established the virtual institute, NAI, in 1997.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 99.88]}}
+{"uid": "1180-neg", "premise": " Jessel, crouched beside Quint, murmurs in a low, sensuous voice, \" Delightful for you, Quint, to have your boy back again, eh? The four of us won't be reunited soon!", "hypothesis": "The four of us have been together before.", "label": "E", "metadata": {"context1": "", "context2": "Jessel, crouched beside Quint, murmurs in a low, sensuous voice, \" Delightful for you, Quint, to have your boy back again, eh?", "target_sentence": "The four of us won't be reunited soon!", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reunited'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [93.4, 100.0, 99.06, 100.0, 100.0]}}
+{"uid": "1180", "premise": " Jessel, crouched beside Quint, murmurs in a low, sensuous voice, \" Delightful for you, Quint, to have your boy back again, eh? The four of us will be reunited soon!", "hypothesis": "The four of us have been together before.", "label": "E", "metadata": {"context1": "", "context2": "Jessel, crouched beside Quint, murmurs in a low, sensuous voice, \" Delightful for you, Quint, to have your boy back again, eh?", "target_sentence": "The four of us will be reunited soon!", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reunited'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 99.69, 100.0]}}
+{"uid": "1182-neg", "premise": "In what other may see as a remarkable coincidence, and Ramsey sees as something of a miracle, she turned on the television that night to a news program that featured a discussion of FGM. During the program, Representative Patricia Schroeder (D.-Colo.) was interviewed as the sponsor of several bills aimed at eliminating FGM in the U.S. ( The bills, which were defeated in a previous session of Congress, haven't been reintroduced in the House by Schroeder and by Harry Reid D.-Nev.", "hypothesis": "The bills had previously been introduced in the House.", "label": "E", "metadata": {"context1": "In what other may see as a remarkable coincidence, and Ramsey sees as something of a miracle, she turned on the television that night to a news program that featured a discussion of FGM.", "context2": "During the program, Representative Patricia Schroeder (D.-Colo.) was interviewed as the sponsor of several bills aimed at eliminating FGM in the U.S.", "target_sentence": "( The bills, which were defeated in a previous session of Congress, haven't been reintroduced in the House by Schroeder and by Harry Reid D.-Nev.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reintroduced'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.34, 99.62, 96.02, 100.0]}}
+{"uid": "1182", "premise": "In what other may see as a remarkable coincidence, and Ramsey sees as something of a miracle, she turned on the television that night to a news program that featured a discussion of FGM. During the program, Representative Patricia Schroeder (D.-Colo.) was interviewed as the sponsor of several bills aimed at eliminating FGM in the U.S. ( The bills, which were defeated in a previous session of Congress, have been reintroduced in the House by Schroeder and by Harry Reid D.-Nev.", "hypothesis": "The bills had previously been introduced in the House.", "label": "E", "metadata": {"context1": "In what other may see as a remarkable coincidence, and Ramsey sees as something of a miracle, she turned on the television that night to a news program that featured a discussion of FGM.", "context2": "During the program, Representative Patricia Schroeder (D.-Colo.) was interviewed as the sponsor of several bills aimed at eliminating FGM in the U.S.", "target_sentence": "( The bills, which were defeated in a previous session of Congress, have been reintroduced in the House by Schroeder and by Harry Reid D.-Nev.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reintroduced'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1183-neg", "premise": "Oh God. Best in the world is Freddy Forsythe. You know, Day of the Jackal didn't redesign the art form.", "hypothesis": "The art form had been previously designed.", "label": "E", "metadata": {"context1": "Oh God.", "context2": "Best in the world is Freddy Forsythe.", "target_sentence": "You know, Day of the Jackal didn't redesign the art form.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'redesigned'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 91.84, 100.0]}}
+{"uid": "1183", "premise": "Oh God. Best in the world is Freddy Forsythe. You know, Day of the Jackal redesigned the art form.", "hypothesis": "The art form had been previously designed.", "label": "E", "metadata": {"context1": "Oh God.", "context2": "Best in the world is Freddy Forsythe.", "target_sentence": "You know, Day of the Jackal redesigned the art form.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'redesigned'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.49, 100.0, 100.0, 100.0]}}
+{"uid": "1184-neg", "premise": "Roberts still lives on Downing's block. His black house used to stand out among the whites, browns and reds of the other homes in the neighborhood. Now he hasn't repainted it a more subdued dusty rose.", "hypothesis": "The house had previously been painted.", "label": "E", "metadata": {"context1": "Roberts still lives on Downing's block.", "context2": "His black house used to stand out among the whites, browns and reds of the other homes in the neighborhood.", "target_sentence": "Now he hasn't repainted it a more subdued dusty rose.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'repainted'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.77, 99.73, 100.0, 98.62, 98.62]}}
+{"uid": "1184", "premise": "Roberts still lives on Downing's block. His black house used to stand out among the whites, browns and reds of the other homes in the neighborhood. Now he's repainted it a more subdued dusty rose.", "hypothesis": "The house had previously been painted.", "label": "E", "metadata": {"context1": "Roberts still lives on Downing's block.", "context2": "His black house used to stand out among the whites, browns and reds of the other homes in the neighborhood.", "target_sentence": "Now he's repainted it a more subdued dusty rose.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'repainted'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.81, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1187-neg", "premise": "Liss extended one of her own legs along the barre and bent at the waist, reaching for her toes. It had been just over two years since her knee had given out on her during a performance, ending her career as a professional dancer at the age of twenty-seven. She hadn't regained her mobility", "hypothesis": "She had been mobile before.", "label": "E", "metadata": {"context1": "Liss extended one of her own legs along the barre and bent at the waist, reaching for her toes.", "context2": "It had been just over two years since her knee had given out on her during a performance, ending her career as a professional dancer at the age of twenty-seven.", "target_sentence": "She hadn't regained her mobility", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'regained'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1187", "premise": "Liss extended one of her own legs along the barre and bent at the waist, reaching for her toes. It had been just over two years since her knee had given out on her during a performance, ending her career as a professional dancer at the age of twenty-seven. She'd regained her mobility", "hypothesis": "She had been mobile before.", "label": "E", "metadata": {"context1": "Liss extended one of her own legs along the barre and bent at the waist, reaching for her toes.", "context2": "It had been just over two years since her knee had given out on her during a performance, ending her career as a professional dancer at the age of twenty-seven.", "target_sentence": "She'd regained her mobility", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'regained'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1188-neg", "premise": " Despite a strong body of literature on Indigenous women's politics, we still know very little about how Indigenous women formed their political identities, developed political communities, and strategically leveraged their disadvantaged gender and racial positions to achieve political change. In recent years, scholars in the United States and Canada haven't reexamined Indigenous women's activities and discovered the deeply political nature of women's social work, but women's politics remains historically decontextualized and either divorced from or folded into the broader Indigenous rights movement.", "hypothesis": "Indigenous women's activities had previously been examined.", "label": "N", "metadata": {"context1": "", "context2": "Despite a strong body of literature on Indigenous women's politics, we still know very little about how Indigenous women formed their political identities, developed political communities, and strategically leveraged their disadvantaged gender and racial positions to achieve political change.", "target_sentence": "In recent years, scholars in the United States and Canada haven't reexamined Indigenous women's activities and discovered the deeply political nature of women's social work, but women's politics remains historically decontextualized and either divorced from or folded into the broader Indigenous rights movement.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reexamined'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["E", "N", "N", "N", "E"], "ratings": [98.62, 73.14, 11.48, 23.39, 99.46]}}
+{"uid": "1188", "premise": " Despite a strong body of literature on Indigenous women's politics, we still know very little about how Indigenous women formed their political identities, developed political communities, and strategically leveraged their disadvantaged gender and racial positions to achieve political change. In recent years, scholars in the United States and Canada have reexamined Indigenous women's activities and discovered the deeply political nature of women's social work, but women's politics remains historically decontextualized and either divorced from or folded into the broader Indigenous rights movement.", "hypothesis": "Indigenous women's activities had previously been examined.", "label": "E", "metadata": {"context1": "", "context2": "Despite a strong body of literature on Indigenous women's politics, we still know very little about how Indigenous women formed their political identities, developed political communities, and strategically leveraged their disadvantaged gender and racial positions to achieve political change.", "target_sentence": "In recent years, scholars in the United States and Canada have reexamined Indigenous women's activities and discovered the deeply political nature of women's social work, but women's politics remains historically decontextualized and either divorced from or folded into the broader Indigenous rights movement.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reexamined'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [100.0, 100.0, 95.46, 100.0, 95.65]}}
+{"uid": "1189-neg", "premise": "Instead, we assigned cases by subject matter to the attorney or paralegal specializing in that area of the law. Case selection criteria and specialization have evolved together. We don't reexamine priorities periodically and redirect staff resources as necessary to meet those priorities.", "hypothesis": "Priorities have previously been examined.", "label": "E", "metadata": {"context1": "Instead, we assigned cases by subject matter to the attorney or paralegal specializing in that area of the law.", "context2": "Case selection criteria and specialization have evolved together.", "target_sentence": "We don't reexamine priorities periodically and redirect staff resources as necessary to meet those priorities.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reexamine'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [96.31, 100.0, 60.56, 100.0, 100.0]}}
+{"uid": "1189", "premise": "Instead, we assigned cases by subject matter to the attorney or paralegal specializing in that area of the law. Case selection criteria and specialization have evolved together. We reexamine priorities periodically and redirect staff resources as necessary to meet those priorities.", "hypothesis": "Priorities have previously been examined.", "label": "E", "metadata": {"context1": "Instead, we assigned cases by subject matter to the attorney or paralegal specializing in that area of the law.", "context2": "Case selection criteria and specialization have evolved together.", "target_sentence": "We reexamine priorities periodically and redirect staff resources as necessary to meet those priorities.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reexamine'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.62, 92.72, 97.19, 97.6, 100.0]}}
+{"uid": "119-neg", "premise": "  The Jensens didn't finally stop tickling their daughter.", "hypothesis": "The Jensens were tickling their daughter before.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "The Jensens didn't finally stop tickling their daughter.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'stopped'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [98.45, 100.0, 100.0, 60.12, 100.0]}}
+{"uid": "119", "premise": "  The Jensens finally stopped tickling their daughter.", "hypothesis": "The Jensens were tickling their daughter before.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "The Jensens finally stopped tickling their daughter.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'stopped'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.59, 99.91, 100.0, 100.0]}}
+{"uid": "1190-neg", "premise": "The man waited. In a few minutes the head appeared. Expecting a confrontation, he didn't reload and waited, hoping not to kill the beast but to introduce it to enough uncertainty to make it go away.", "hypothesis": "The gun had previously been loaded.", "label": "E", "metadata": {"context1": "The man waited.", "context2": "In a few minutes the head appeared.", "target_sentence": "Expecting a confrontation, he didn't reload and waited, hoping not to kill the beast but to introduce it to enough uncertainty to make it go away.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reloaded'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [100.0, 100.0, 100.0, 93.98, 88.89]}}
+{"uid": "1190", "premise": "The man waited. In a few minutes the head appeared. Expecting a confrontation, he reloaded and waited, hoping not to kill the beast but to introduce it to enough uncertainty to make it go away.", "hypothesis": "The gun had previously been loaded.", "label": "E", "metadata": {"context1": "The man waited.", "context2": "In a few minutes the head appeared.", "target_sentence": "Expecting a confrontation, he reloaded and waited, hoping not to kill the beast but to introduce it to enough uncertainty to make it go away.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reloaded'}", "trigger_type": "re_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 96.37, 96.2, 100.0, 99.46]}}
+{"uid": "1193-neg", "premise": "Daduan Deng, has been a member of PSA since only last November 2008, but his presence is felt everywhere. Because of his desire to promote PSA, his willingness to innovate, his knowledge of the Chinese culture, and his contacts in the local photo community, Daduan was selected to fill the newly created position of PSA Lead Country International Representative (LCIR). Daduan hasn't hosted visiting PSA photo groups from the USA since becoming the LCIR for China.", "hypothesis": "Daduan became the LCIR for China.", "label": "E", "metadata": {"context1": "Daduan Deng, has been a member of PSA since only last November 2008, but his presence is felt everywhere.", "context2": "Because of his desire to promote PSA, his willingness to innovate, his knowledge of the Chinese culture, and his contacts in the local photo community, Daduan was selected to fill the newly created position of PSA Lead Country International Representative (LCIR).", "target_sentence": "Daduan hasn't hosted visiting PSA photo groups from the USA since becoming the LCIR for China.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'Since', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.54, 100.0, 100.0]}}
+{"uid": "1193", "premise": "Daduan Deng, has been a member of PSA since only last November 2008, but his presence is felt everywhere. Because of his desire to promote PSA, his willingness to innovate, his knowledge of the Chinese culture, and his contacts in the local photo community, Daduan was selected to fill the newly created position of PSA Lead Country International Representative (LCIR). Daduan has hosted visiting PSA photo groups from the USA since becoming the LCIR for China,", "hypothesis": "Daduan became the LCIR for China.", "label": "E", "metadata": {"context1": "Daduan Deng, has been a member of PSA since only last November 2008, but his presence is felt everywhere.", "context2": "Because of his desire to promote PSA, his willingness to innovate, his knowledge of the Chinese culture, and his contacts in the local photo community, Daduan was selected to fill the newly created position of PSA Lead Country International Representative (LCIR).", "target_sentence": "Daduan has hosted visiting PSA photo groups from the USA since becoming the LCIR for China,", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'Since', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 99.25, 100.0]}}
+{"uid": "1194-neg", "premise": " He got so carried away with the game that he dropped out of school shortly before he expected to flunk out. He din't play semi-pro poker for several years and got a job at the literary magazine The Paris Review, where he was encouraged to write. \", after giving up on astronomy.", "hypothesis": "He gave up on astronomy.", "label": "E", "metadata": {"context1": "", "context2": "He got so carried away with the game that he dropped out of school shortly before he expected to flunk out.", "target_sentence": "He din't play semi-pro poker for several years and got a job at the literary magazine The Paris Review, where he was encouraged to write. \", after giving up on astronomy.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 99.64, 100.0]}}
+{"uid": "1194", "premise": " He got so carried away with the game that he dropped out of school shortly before he expected to flunk out. He played semi-pro poker for several years and got a job at the literary magazine The Paris Review, where he was encouraged to write. \", after giving up on astronomy.", "hypothesis": "He gave up on astronomy.", "label": "E", "metadata": {"context1": "", "context2": "He got so carried away with the game that he dropped out of school shortly before he expected to flunk out.", "target_sentence": "He played semi-pro poker for several years and got a job at the literary magazine The Paris Review, where he was encouraged to write. \", after giving up on astronomy.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.57, 99.49, 98.37, 100.0]}}
+{"uid": "1200-neg", "premise": " But what if it isn't, and a world is about to be born before and because of my very eyes? Dafne doesn't slide out from under Byron, placing a sofa pillow under his head, and doesn't squint at herself in the cracked mirror above the bathroom sink as though she is farsighted and can't quite make anything out this close, before splashing her face.", "hypothesis": "Dafne spashes her face.", "label": "E", "metadata": {"context1": "", "context2": "But what if it isn't, and a world is about to be born before and because of my very eyes?", "target_sentence": "Dafne doesn't slide out from under Byron, placing a sofa pillow under his head, and doesn't squint at herself in the cracked mirror above the bathroom sink as though she is farsighted and can't quite make anything out this close, before splashing her face.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 95.84, 100.0, 99.54, 97.4]}}
+{"uid": "1200", "premise": " But what if it isn't, and a world is about to be born before and because of my very eyes? Dafne slides out from under Byron, placing a sofa pillow under his head, and squints at herself in the cracked mirror above the bathroom sink as though she is farsighted and can't quite make anything out this close, before splashing her face.", "hypothesis": "Dafne spashes her face.", "label": "E", "metadata": {"context1": "", "context2": "But what if it isn't, and a world is about to be born before and because of my very eyes?", "target_sentence": "Dafne slides out from under Byron, placing a sofa pillow under his head, and squints at herself in the cracked mirror above the bathroom sink as though she is farsighted and can't quite make anything out this close, before splashing her face.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.54, 100.0, 100.0, 100.0, 98.2]}}
+{"uid": "1201-neg", "premise": " In this procedure, mixture is visually rated based on the bleeding and segregation from 0 to 3, after conducting the slump flow test. In this test, hardened specimens were not rated based on the segregation of aggregate and fibers from 0 to 3 after being subjected to the mechanical tests, reflecting uniform dispersion to poor dispersion, respectively.", "hypothesis": "Hardened specimens were subjected to the mechanical tests.", "label": "E", "metadata": {"context1": "", "context2": "In this procedure, mixture is visually rated based on the bleeding and segregation from 0 to 3, after conducting the slump flow test.", "target_sentence": "In this test, hardened specimens were not rated based on the segregation of aggregate and fibers from 0 to 3 after being subjected to the mechanical tests, reflecting uniform dispersion to poor dispersion, respectively.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBN']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "N", "N"], "ratings": [97.14, 100.0, 97.65, 74.57, 47.45]}}
+{"uid": "1201", "premise": " In this procedure, mixture is visually rated based on the bleeding and segregation from 0 to 3, after conducting the slump flow test. In this test, hardened specimens were rated based on the segregation of aggregate and fibers from 0 to 3 after being subjected to the mechanical tests, reflecting uniform dispersion to poor dispersion, respectively.", "hypothesis": "Hardened specimens were subjected to the mechanical tests.", "label": "E", "metadata": {"context1": "", "context2": "In this procedure, mixture is visually rated based on the bleeding and segregation from 0 to 3, after conducting the slump flow test.", "target_sentence": "In this test, hardened specimens were rated based on the segregation of aggregate and fibers from 0 to 3 after being subjected to the mechanical tests, reflecting uniform dispersion to poor dispersion, respectively.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBN']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [50.3, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1202-neg", "premise": " For years I avoided both these art forms, partly because seats are expensive and therefore less accessible to the ordinary patron, and partly because I suspected a kind of \"artistic conspiracy\" between intellectuals and performers who were creating a \"magic circle\" for their mutual benefit. It wasn't after sitting through Mozart's opera \"The Magic Flute\" and Tchaikovsky's \"Sleeping Beauty\" that I began to realize what everyone had been going on about for so many years.", "hypothesis": "I sat through \"The Magic Flute\" amd \"Sleeping Beauty\".", "label": "E", "metadata": {"context1": "", "context2": "For years I avoided both these art forms, partly because seats are expensive and therefore less accessible to the ordinary patron, and partly because I suspected a kind of \"artistic conspiracy\" between intellectuals and performers who were creating a \"magic circle\" for their mutual benefit.", "target_sentence": "It wasn't after sitting through Mozart's opera \"The Magic Flute\" and Tchaikovsky's \"Sleeping Beauty\" that I began to realize what everyone had been going on about for so many years.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['RB', 'VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.9, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1202", "premise": " For years I avoided both these art forms, partly because seats are expensive and therefore less accessible to the ordinary patron, and partly because I suspected a kind of \"artistic conspiracy\" between intellectuals and performers who were creating a \"magic circle\" for their mutual benefit. It was after sitting through Mozart's opera \"The Magic Flute\" and Tchaikovsky's \"Sleeping Beauty\" that I began to realize what everyone had been going on about for so many years.", "hypothesis": "I sat through \"The Magic Flute\" amd \"Sleeping Beauty\".", "label": "E", "metadata": {"context1": "", "context2": "For years I avoided both these art forms, partly because seats are expensive and therefore less accessible to the ordinary patron, and partly because I suspected a kind of \"artistic conspiracy\" between intellectuals and performers who were creating a \"magic circle\" for their mutual benefit.", "target_sentence": "It was after sitting through Mozart's opera \"The Magic Flute\" and Tchaikovsky's \"Sleeping Beauty\" that I began to realize what everyone had been going on about for so many years.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['RB', 'VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1207-neg", "premise": " DH Frank Thomas hit.212 in June and is still trying to find his stroke after last year's biceps injury. He hasn't got an outside shot at the Triple Crown after hitting.340 with 12 home runs and 22 RBI in June.", "hypothesis": "DH Frank Thomas hit.340 with 12 home runs and 22 RBI in June.", "label": "E", "metadata": {"context1": "", "context2": "DH Frank Thomas hit.212 in June and is still trying to find his stroke after last year's biceps injury.", "target_sentence": "He hasn't got an outside shot at the Triple Crown after hitting.340 with 12 home runs and 22 RBI in June.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 100.0, 49.55, 100.0, 100.0]}}
+{"uid": "1207", "premise": " DH Frank Thomas hit.212 in June and is still trying to find his stroke after last year's biceps injury. He's got an outside shot at the Triple Crown after hitting.340 with 12 home runs and 22 RBI in June.", "hypothesis": "DH Frank Thomas hit.340 with 12 home runs and 22 RBI in June.", "label": "E", "metadata": {"context1": "", "context2": "DH Frank Thomas hit.212 in June and is still trying to find his stroke after last year's biceps injury.", "target_sentence": "He's got an outside shot at the Triple Crown after hitting.340 with 12 home runs and 22 RBI in June.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "121-neg", "premise": "  I don't start hiccuping but can taste popcorn in my mouth.", "hypothesis": "I wasn't hiccuping before.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "I don't start hiccuping but can taste popcorn in my mouth.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'start'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["E", "E", "N", "N", "E"], "ratings": [98.11, 100.0, 82.65, 5.06, 100.0]}}
+{"uid": "121", "premise": "  I start hiccuping and can taste popcorn in my mouth.", "hypothesis": "I wasn't hiccuping before.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "I start hiccuping and can taste popcorn in my mouth.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'start'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.95, 100.0, 100.0, 100.0, 95.08]}}
+{"uid": "1211-neg", "premise": " ISE resources include, but are not limited to: science centers and museums and any other nature-related exhibit; television programs; film and broadcast media; digital media and gaming; and youth, community, and after-school programs (CAISE). I didn't decide that it would be of further interest to expand the questioning to ITEEA members in order to determine a broader audience's response after collecting the results and reporting back.", "hypothesis": "I collected the results and reported back.", "label": "E", "metadata": {"context1": "", "context2": "ISE resources include, but are not limited to: science centers and museums and any other nature-related exhibit; television programs; film and broadcast media; digital media and gaming; and youth, community, and after-school programs (CAISE).", "target_sentence": "I didn't decide that it would be of further interest to expand the questioning to ITEEA members in order to determine a broader audience's response after collecting the results and reporting back.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["N", "N", "E", "E", "E"], "ratings": [61.44, 58.95, 100.0, 100.0, 98.5]}}
+{"uid": "1212-neg", "premise": " In the 60s he served as a mentor to Dave Frishberg, a jazz pianist and aspiring songwriter who set down his elder's artistic credo: \"Loesser's objective in writing a lyric was to make the words work throughout so that the end provides a payoff rather than a repetition of what comes before.\" The uniqueness of this achievement is not sufficiently appreciated: except for Stephen Sondheim, he isn't the only songwriter to have established himself as a first-tier composer after having won fame as a lyricist.", "hypothesis": "Loesser had won fame as a lyricist.", "label": "E", "metadata": {"context1": "", "context2": "In the 60s he served as a mentor to Dave Frishberg, a jazz pianist and aspiring songwriter who set down his elder's artistic credo: \"Loesser's objective in writing a lyric was to make the words work throughout so that the end provides a payoff rather than a repetition of what comes before.\"", "target_sentence": "The uniqueness of this achievement is not sufficiently appreciated: except for Stephen Sondheim, he isn't the only songwriter to have established himself as a first-tier composer after having won fame as a lyricist.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBN']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 100.0, 96.31, 93.25, 99.28]}}
+{"uid": "1214-neg", "premise": " The newest way to monitor your heart rate, these tiny buds work by tracking the pulse of the blood rushing through your ears while allowing you to listen to your favorite tunes. We didn't like LG's Heart Rate Monitor Earphones best ($ 180) after taking a few brands for a test jog.", "hypothesis": "We took a few brands for a test jog.", "label": "E", "metadata": {"context1": "", "context2": "The newest way to monitor your heart rate, these tiny buds work by tracking the pulse of the blood rushing through your ears while allowing you to listen to your favorite tunes.", "target_sentence": "We didn't like LG's Heart Rate Monitor Earphones best ($ 180) after taking a few brands for a test jog.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1214", "premise": " The newest way to monitor your heart rate, these tiny buds work by tracking the pulse of the blood rushing through your ears while allowing you to listen to your favorite tunes. We liked LG's Heart Rate Monitor Earphones best ($ 180) after taking a few brands for a test jog.", "hypothesis": "We took a few brands for a test jog.", "label": "E", "metadata": {"context1": "", "context2": "The newest way to monitor your heart rate, these tiny buds work by tracking the pulse of the blood rushing through your ears while allowing you to listen to your favorite tunes.", "target_sentence": "We liked LG's Heart Rate Monitor Earphones best ($ 180) after taking a few brands for a test jog.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 99.97]}}
+{"uid": "1216-neg", "premise": " Maybe a little, I mean after, b u t... \" land, with occasional spells aboard trains and busses. She hummed. Nuala hadn't alternated between the melody to Mendelsshon's Symphony No. 3, known as his silence and outbursts of anger, since learning of Hal's death.", "hypothesis": "Nuala learned of Hal's death.", "label": "E", "metadata": {"context1": "", "context2": "Maybe a little, I mean after, b u t... \" land, with occasional spells aboard trains and busses.", "target_sentence": "She hummed. Nuala hadn't alternated between the melody to Mendelsshon's Symphony No. 3, known as his silence and outbursts of anger, since learning of Hal's death.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'Since', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1216", "premise": " Maybe a little, I mean after, b u t... \" land, with occasional spells aboard trains and busses. She hummed. Nuala had alternated between the melody to Mendelsshon's Symphony No. 3, known as his silence and outbursts of anger, since learning of Hal's death.", "hypothesis": "Nuala learned of Hal's death.", "label": "E", "metadata": {"context1": "", "context2": "Maybe a little, I mean after, b u t... \" land, with occasional spells aboard trains and busses.", "target_sentence": "She hummed. Nuala had alternated between the melody to Mendelsshon's Symphony No. 3, known as his silence and outbursts of anger, since learning of Hal's death.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'Since', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 99.85]}}
+{"uid": "1218-neg", "premise": " While all systems are currently go for The Woodlands boys' soccer team's mission for a league title, head coach Hans Kleinschmidt is quick to point out that in District 15-5A things can change in a hurry. The Highlanders, who entered last week's action ranked No. 2 in the Greater Houston area and No. 7 in the state, won't host Klein Forest on Friday for a 7:30 p.m. match before traveling to Conroe on Tuesday for a 7 p.m. match.", "hypothesis": "The Highlanders will travel to Conroe on Tuesday for a 7 p.m. match.", "label": "E", "metadata": {"context1": "", "context2": "While all systems are currently go for The Woodlands boys' soccer team's mission for a league title, head coach Hans Kleinschmidt is quick to point out that in District 15-5A things can change in a hurry.", "target_sentence": "The Highlanders, who entered last week's action ranked No. 2 in the Greater Houston area and No. 7 in the state, won't host Klein Forest on Friday for a 7:30 p.m. match before traveling to Conroe on Tuesday for a 7 p.m. match.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [73.27, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1218", "premise": " While all systems are currently go for The Woodlands boys' soccer team's mission for a league title, head coach Hans Kleinschmidt is quick to point out that in District 15-5A things can change in a hurry. The Highlanders, who entered last week's action ranked No. 2 in the Greater Houston area and No. 7 in the state, host Klein Forest on Friday for a 7:30 p.m. match before traveling to Conroe on Tuesday for a 7 p.m. match.", "hypothesis": "The Highlanders will travel to Conroe on Tuesday for a 7 p.m. match.", "label": "E", "metadata": {"context1": "", "context2": "While all systems are currently go for The Woodlands boys' soccer team's mission for a league title, head coach Hans Kleinschmidt is quick to point out that in District 15-5A things can change in a hurry.", "target_sentence": "The Highlanders, who entered last week's action ranked No. 2 in the Greater Houston area and No. 7 in the state, host Klein Forest on Friday for a 7:30 p.m. match before traveling to Conroe on Tuesday for a 7 p.m. match.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.77, 100.0, 98.77]}}
+{"uid": "1219-neg", "premise": "Left fielder Michael Brantley sits in the outfielder grass after spraining his right ankle on Aug. 8 at Progressive Field in a game against the Rockies. Brantley has not played since. Left fielder Michael Brantley doesn't sit in the outfielder grass after spraining his right ankle on Aug. 8 at Progressive Field in a game against the Rockies.", "hypothesis": "Michael Brantley sprained his right ankle on Aug. 8.", "label": "E", "metadata": {"context1": "Left fielder Michael Brantley sits in the outfielder grass after spraining his right ankle on Aug. 8 at Progressive Field in a game against the Rockies.", "context2": "Brantley has not played since.", "target_sentence": "Left fielder Michael Brantley doesn't sit in the outfielder grass after spraining his right ankle on Aug. 8 at Progressive Field in a game against the Rockies.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.75, 100.0, 100.0, 100.0]}}
+{"uid": "1219", "premise": "Left fielder Michael Brantley sits in the outfielder grass after spraining his right ankle on Aug. 8 at Progressive Field in a game against the Rockies. Brantley has not played since. Left fielder Michael Brantley sits in the outfielder grass after spraining his right ankle on Aug. 8 at Progressive Field in a game against the Rockies.", "hypothesis": "Michael Brantley sprained his right ankle on Aug. 8.", "label": "E", "metadata": {"context1": "Left fielder Michael Brantley sits in the outfielder grass after spraining his right ankle on Aug. 8 at Progressive Field in a game against the Rockies.", "context2": "Brantley has not played since.", "target_sentence": "Left fielder Michael Brantley sits in the outfielder grass after spraining his right ankle on Aug. 8 at Progressive Field in a game against the Rockies.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1220-neg", "premise": " Other teachers gave you a rushed song, an old candle that was melted halfway down already, and three minutes to inhale your cupcake before the bell rang. She picked up the queen of hearts and didn't wave it back and forth before putting it back.", "hypothesis": "She put back the queen of hearts.", "label": "E", "metadata": {"context1": "", "context2": "Other teachers gave you a rushed song, an old candle that was melted halfway down already, and three minutes to inhale your cupcake before the bell rang.", "target_sentence": "She picked up the queen of hearts and didn't wave it back and forth before putting it back.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.31, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1220", "premise": " Other teachers gave you a rushed song, an old candle that was melted halfway down already, and three minutes to inhale your cupcake before the bell rang. She picked up the queen of hearts and waved it back and forth before putting it back.", "hypothesis": "She put back the queen of hearts.", "label": "E", "metadata": {"context1": "", "context2": "Other teachers gave you a rushed song, an old candle that was melted halfway down already, and three minutes to inhale your cupcake before the bell rang.", "target_sentence": "She picked up the queen of hearts and waved it back and forth before putting it back.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.22, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1222-neg", "premise": " The Wild Party, \" starring Taye Diggs, opened off Broadway last month, while a Broadway production starring Mandy Patinkin, Toni Collette and Eartha Kitt is now in previews. Joseph Moncure March didn't write \"The Wild Party\" when he was 26 years old in the summer of 1926 after leaving his job as an editor at The New Yorker.", "hypothesis": "Joseph Moncure March left his job as an editor at the New Yorker.", "label": "E", "metadata": {"context1": "", "context2": "The Wild Party, \" starring Taye Diggs, opened off Broadway last month, while a Broadway production starring Mandy Patinkin, Toni Collette and Eartha Kitt is now in previews.", "target_sentence": "Joseph Moncure March didn't write \"The Wild Party\" when he was 26 years old in the summer of 1926 after leaving his job as an editor at The New Yorker.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [97.98, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1222", "premise": " The Wild Party, \" starring Taye Diggs, opened off Broadway last month, while a Broadway production starring Mandy Patinkin, Toni Collette and Eartha Kitt is now in previews. Joseph Moncure March wrote \"The Wild Party\" when he was 26 years old in the summer of 1926 after leaving his job as an editor at The New Yorker.", "hypothesis": "Joseph Moncure March left his job as an editor at the New Yorker.", "label": "E", "metadata": {"context1": "", "context2": "The Wild Party, \" starring Taye Diggs, opened off Broadway last month, while a Broadway production starring Mandy Patinkin, Toni Collette and Eartha Kitt is now in previews.", "target_sentence": "Joseph Moncure March wrote \"The Wild Party\" when he was 26 years old in the summer of 1926 after leaving his job as an editor at The New Yorker.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1224-neg", "premise": "But after nine hours of surgery and four intense, watchful days, Hammond says the procedure to restore Jamie's nose was a success. In January, John Thompson, 18, of Hurdsfield, N.D., had both arms re- attached by two Minneapolis surgeons after a farming accident. In April, 6- year-old Michael Conoboy of rural western Wisconsin didn't capture attention after both arms were re-attached in a St. Paul, Minn., hospital following an irrigation system accident.", "hypothesis": "Both of Michael Conoboy's arms were re-attached.", "label": "E", "metadata": {"context1": "But after nine hours of surgery and four intense, watchful days, Hammond says the procedure to restore Jamie's nose was a success.", "context2": "In January, John Thompson, 18, of Hurdsfield, N.D., had both arms re- attached by two Minneapolis surgeons after a farming accident.", "target_sentence": "In April, 6- year-old Michael Conoboy of rural western Wisconsin didn't capture attention after both arms were re-attached in a St. Paul, Minn., hospital following an irrigation system accident.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBN']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.75, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1224", "premise": "But after nine hours of surgery and four intense, watchful days, Hammond says the procedure to restore Jamie's nose was a success. In January, John Thompson, 18, of Hurdsfield, N.D., had both arms re- attached by two Minneapolis surgeons after a farming accident. In April, 6- year-old Michael Conoboy of rural western Wisconsin captured attention after both arms were re-attached in a St. Paul, Minn., hospital following an irrigation system accident.", "hypothesis": "Both of Michael Conoboy's arms were re-attached.", "label": "E", "metadata": {"context1": "But after nine hours of surgery and four intense, watchful days, Hammond says the procedure to restore Jamie's nose was a success.", "context2": "In January, John Thompson, 18, of Hurdsfield, N.D., had both arms re- attached by two Minneapolis surgeons after a farming accident.", "target_sentence": "In April, 6- year-old Michael Conoboy of rural western Wisconsin captured attention after both arms were re-attached in a St. Paul, Minn., hospital following an irrigation system accident.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBN']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.97, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1225-neg", "premise": " It's dangerous, of course, to anoint a champion before its time. Tom Brady didn't say after beating the Colts, \" We're 9-0, and it really doesn't matter.", "hypothesis": "Tom Brady beat the Colts.", "label": "E", "metadata": {"context1": "", "context2": "It's dangerous, of course, to anoint a champion before its time.", "target_sentence": "Tom Brady didn't say after beating the Colts, \" We're 9-0, and it really doesn't matter.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 99.12]}}
+{"uid": "1225", "premise": " It's dangerous, of course, to anoint a champion before its time. Tom Brady said after beating the Colts, \" We're 9-0, and it really doesn't matter.", "hypothesis": "Tom Brady beat the Colts.", "label": "E", "metadata": {"context1": "", "context2": "It's dangerous, of course, to anoint a champion before its time.", "target_sentence": "Tom Brady said after beating the Colts, \" We're 9-0, and it really doesn't matter.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.77, 100.0, 100.0, 100.0]}}
+{"uid": "1227-neg", "premise": " At the time he attaches no significance to his father's visit to the counter of a domestic airline before checking in for his international flight, but he knew even then with the deaf-and-dumb intuition of a child that his father would not be coming back, ever. He recalls nothing of his actual feelings as he and Dora struggle to lift an unprecedented second suitcase onto the scale and his father doesn't disappear into customs after rushed kisses and a vague guarantee of gifts on his return.", "hypothesis": "His father kissed them and promised them gifts on his return.", "label": "E", "metadata": {"context1": "", "context2": "At the time he attaches no significance to his father's visit to the counter of a domestic airline before checking in for his international flight, but he knew even then with the deaf-and-dumb intuition of a child that his father would not be coming back, ever.", "target_sentence": "He recalls nothing of his actual feelings as he and Dora struggle to lift an unprecedented second suitcase onto the scale and his father doesn't disappear into customs after rushed kisses and a vague guarantee of gifts on his return.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBD']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["N", "E", "E", "E", "N"], "ratings": [61.0, 99.66, 97.88, 100.0, 91.6]}}
+{"uid": "1227", "premise": " At the time he attaches no significance to his father's visit to the counter of a domestic airline before checking in for his international flight, but he knew even then with the deaf-and-dumb intuition of a child that his father would not be coming back, ever. He recalls nothing of his actual feelings as he and Dora struggle to lift an unprecedented second suitcase onto the scale and his father disappears into customs after rushed kisses and a vague guarantee of gifts on his return.", "hypothesis": "His father kissed them and promised them gifts on his return.", "label": "E", "metadata": {"context1": "", "context2": "At the time he attaches no significance to his father's visit to the counter of a domestic airline before checking in for his international flight, but he knew even then with the deaf-and-dumb intuition of a child that his father would not be coming back, ever.", "target_sentence": "He recalls nothing of his actual feelings as he and Dora struggle to lift an unprecedented second suitcase onto the scale and his father disappears into customs after rushed kisses and a vague guarantee of gifts on his return.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBD']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "C"], "ratings": [100.0, 100.0, 100.0, 100.0, 1.12]}}
+{"uid": "1228-neg", "premise": "But before we die, while life remains, let us take vengeance, yielding God thanks for granting us the martyr's death we have longed for. \" After threatening the shaken man with beheading should he repeat the message to anyone, Richard set out for town with a party of knights and crossbowmen to assess the situation. Richard didn't ride down to the beach to round up as many stragglers as he could find before returning to receive the first attack.", "hypothesis": "Richard returned to receive the first attack.", "label": "E", "metadata": {"context1": "But before we die, while life remains, let us take vengeance, yielding God thanks for granting us the martyr's death we have longed for. \"", "context2": "After threatening the shaken man with beheading should he repeat the message to anyone, Richard set out for town with a party of knights and crossbowmen to assess the situation.", "target_sentence": "Richard didn't ride down to the beach to round up as many stragglers as he could find before returning to receive the first attack.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [99.9, 97.74, 95.71, 89.53, 100.0]}}
+{"uid": "1228", "premise": "But before we die, while life remains, let us take vengeance, yielding God thanks for granting us the martyr's death we have longed for. \" After threatening the shaken man with beheading should he repeat the message to anyone, Richard set out for town with a party of knights and crossbowmen to assess the situation. Richard rode down to the beach to round up as many stragglers as he could find before returning to receive the first attack.", "hypothesis": "Richard returned to receive the first attack.", "label": "E", "metadata": {"context1": "But before we die, while life remains, let us take vengeance, yielding God thanks for granting us the martyr's death we have longed for. \"", "context2": "After threatening the shaken man with beheading should he repeat the message to anyone, Richard set out for town with a party of knights and crossbowmen to assess the situation.", "target_sentence": "Richard rode down to the beach to round up as many stragglers as he could find before returning to receive the first attack.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.93, 100.0, 100.0, 100.0, 99.02]}}
+{"uid": "1229-neg", "premise": " Ever since Little Tiny Doom trapped him in a bowl of water and fed him fishy flakes for two days, he's avoided her like fluke-rot. Alfonso doesn't zip forward, flippers flapping, and Hardhands, after draining his chapeau of Current and slamming it back upon his grape, follows.", "hypothesis": "Alfonso drained his chapeau of Current and slammed it back upon his grape.", "label": "E", "metadata": {"context1": "", "context2": "Ever since Little Tiny Doom trapped him in a bowl of water and fed him fishy flakes for two days, he's avoided her like fluke-rot.", "target_sentence": "Alfonso doesn't zip forward, flippers flapping, and Hardhands, after draining his chapeau of Current and slamming it back upon his grape, follows.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["E", "C", "E", "E", "N"], "ratings": [99.66, 1.8, 100.0, 100.0, 19.17]}}
+{"uid": "1229", "premise": " Ever since Little Tiny Doom trapped him in a bowl of water and fed him fishy flakes for two days, he's avoided her like fluke-rot. Alfonso zips forward, flippers flapping, and Hardhands, after draining his chapeau of Current and slamming it back upon his grape, follows.", "hypothesis": "Alfonso drained his chapeau of Current and slammed it back upon his grape.", "label": "E", "metadata": {"context1": "", "context2": "Ever since Little Tiny Doom trapped him in a bowl of water and fed him fishy flakes for two days, he's avoided her like fluke-rot.", "target_sentence": "Alfonso zips forward, flippers flapping, and Hardhands, after draining his chapeau of Current and slamming it back upon his grape, follows.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [90.15, 100.0, 100.0, 99.54, 100.0]}}
+{"uid": "123-neg", "premise": "Two US companies began offering the service in five US test markets last month and will offer it nationwide starting this fall. around a TV hooked up to a satellite dish. China didn't begin requiring registration of dishes Last October, after an unflattering film of Mao Zedong on STAR TV", "hypothesis": "China didn't require registration of dishes before an unflattering film of Mao Zedong on STAR TV last October.", "label": "E", "metadata": {"context1": "Two US companies began offering the service in five US test markets last month and will offer it nationwide starting this fall.", "context2": "around a TV hooked up to a satellite dish.", "target_sentence": "China didn't begin requiring registration of dishes Last October, after an unflattering film of Mao Zedong on STAR TV", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [96.71, 100.0, 72.34, 100.0, 100.0]}}
+{"uid": "123", "premise": "Two US companies began offering the service in five US test markets last month and will offer it nationwide starting this fall. around a TV hooked up to a satellite dish. China began requiring registration of dishes Last October, after an unflattering film of Mao Zedong on STAR TV", "hypothesis": "China didn't require registration of dishes before an unflattering film of Mao Zedong on STAR TV last October.", "label": "E", "metadata": {"context1": "Two US companies began offering the service in five US test markets last month and will offer it nationwide starting this fall.", "context2": "around a TV hooked up to a satellite dish.", "target_sentence": "China began requiring registration of dishes Last October, after an unflattering film of Mao Zedong on STAR TV", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [93.69, 100.0, 99.9, 100.0, 100.0]}}
+{"uid": "1230-neg", "premise": " Still, after Johnson was fired he didn't get another big league managerial job until the Cincinnati Reds hired him in May 1993. He didn't take them to the NL Championship Series last year before being swept by the Atlanta Braves.", "hypothesis": "Johnson was swept by the Atlanta Braves.", "label": "E", "metadata": {"context1": "", "context2": "Still, after Johnson was fired he didn't get another big league managerial job until the Cincinnati Reds hired him in May 1993.", "target_sentence": "He didn't take them to the NL Championship Series last year before being swept by the Atlanta Braves.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBN']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["N", "E", "N", "E", "E"], "ratings": [71.95, 99.93, 62.02, 100.0, 99.71]}}
+{"uid": "1230", "premise": " Still, after Johnson was fired he didn't get another big league managerial job until the Cincinnati Reds hired him in May 1993. He took them to the NL Championship Series last year before being swept by the Atlanta Braves.", "hypothesis": "Johnson was swept by the Atlanta Braves.", "label": "E", "metadata": {"context1": "", "context2": "Still, after Johnson was fired he didn't get another big league managerial job until the Cincinnati Reds hired him in May 1993.", "target_sentence": "He took them to the NL Championship Series last year before being swept by the Atlanta Braves.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBN']}", "trigger_type": "temporal_adverbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1234-neg", "premise": "NO JOBS AT HOME  Kevin Hughes, a brilliant young programmer and Web designer, reluctantly didn't leave Hawaii in 1993 to join an electronic commerce company in Palo Alto, EIT, where Netscape's Marc Andreessen first worked.", "hypothesis": "Kevin Hughs was in Hawaii previously.", "label": "E", "metadata": {"context1": "NO JOBS AT HOME", "context2": "", "target_sentence": "Kevin Hughes, a brilliant young programmer and Web designer, reluctantly didn't leave Hawaii in 1993 to join an electronic commerce company in Palo Alto, EIT, where Netscape's Marc Andreessen first worked.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'left'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["E", "E", "E", "N", "N"], "ratings": [100.0, 100.0, 98.29, 50.3, 86.87]}}
+{"uid": "1234", "premise": "NO JOBS AT HOME  Kevin Hughes, a brilliant young programmer and Web designer, reluctantly left Hawaii in 1993 to join an electronic commerce company in Palo Alto, EIT, where Netscape's Marc Andreessen first worked.", "hypothesis": "Kevin Hughs was in Hawaii previously.", "label": "E", "metadata": {"context1": "NO JOBS AT HOME", "context2": "", "target_sentence": "Kevin Hughes, a brilliant young programmer and Web designer, reluctantly left Hawaii in 1993 to join an electronic commerce company in Palo Alto, EIT, where Netscape's Marc Andreessen first worked.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'left'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 98.73, 100.0, 100.0, 99.54]}}
+{"uid": "1236-neg", "premise": "He might well make a special effort to look out for Edgecumbe's widow and daughter, but would he choose to send Kennison, the least trustworthy of Mill Hall's servants, to carry his messages? \" Help me up, \" Lucy said, distracting Constance from her speculations. When she'd settled her cousin in the stillroom, Constance didn't return to Mill Hall.", "hypothesis": "Constance was previously at Mill Hall.", "label": "E", "metadata": {"context1": "He might well make a special effort to look out for Edgecumbe's widow and daughter, but would he choose to send Kennison, the least trustworthy of Mill Hall's servants, to carry his messages? \"", "context2": "Help me up, \" Lucy said, distracting Constance from her speculations.", "target_sentence": "When she'd settled her cousin in the stillroom, Constance didn't return to Mill Hall.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'returned'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.37, 99.75, 99.66, 100.0, 100.0]}}
+{"uid": "1236", "premise": "He might well make a special effort to look out for Edgecumbe's widow and daughter, but would he choose to send Kennison, the least trustworthy of Mill Hall's servants, to carry his messages? \" Help me up, \" Lucy said, distracting Constance from her speculations. When she'd settled her cousin in the stillroom, Constance returned to Mill Hall.", "hypothesis": "Constance was previously at Mill Hall.", "label": "E", "metadata": {"context1": "He might well make a special effort to look out for Edgecumbe's widow and daughter, but would he choose to send Kennison, the least trustworthy of Mill Hall's servants, to carry his messages? \"", "context2": "Help me up, \" Lucy said, distracting Constance from her speculations.", "target_sentence": "When she'd settled her cousin in the stillroom, Constance returned to Mill Hall.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'returned'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [91.35, 100.0, 100.0, 99.94, 100.0]}}
+{"uid": "1237-neg", "premise": "\" Whatever keeps a man to his place can't be held against him, \" said Lucas. His arm didn't drop so that he held the rib at his side.", "hypothesis": "His arm had been up before.", "label": "E", "metadata": {"context1": "\"", "context2": "Whatever keeps a man to his place can't be held against him, \" said Lucas.", "target_sentence": "His arm didn't drop so that he held the rib at his side.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'dropped'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["N", "N", "E", "E", "E"], "ratings": [49.7, 75.98, 84.93, 95.59, 100.0]}}
+{"uid": "1237", "premise": "\" Whatever keeps a man to his place can't be held against him, \" said Lucas. His arm dropped so that he held the rib at his side.", "hypothesis": "His arm had been up before.", "label": "E", "metadata": {"context1": "\"", "context2": "Whatever keeps a man to his place can't be held against him, \" said Lucas.", "target_sentence": "His arm dropped so that he held the rib at his side.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'dropped'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [94.74, 72.08, 100.0, 100.0, 100.0]}}
+{"uid": "1238-neg", "premise": "In the first section of the book, Stafford takes the risk of relying on mostly nonhuman speakers. Among others, we hear from a bowstring, a coyote, and several extinct species. Stafford's central yet very human challenge is spelled out in \"For Later,\" the fourth poem: After prayers I didn't lose my way", "hypothesis": "Stafford was on the right track before.", "label": "N", "metadata": {"context1": "In the first section of the book, Stafford takes the risk of relying on mostly nonhuman speakers.", "context2": "Among others, we hear from a bowstring, a coyote, and several extinct species.", "target_sentence": "Stafford's central yet very human challenge is spelled out in \"For Later,\" the fourth poem: After prayers I didn't lose my way", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'lost'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["N", "N", "N", "N", "C"], "ratings": [50.3, 95.01, 50.3, 65.46, 1.23]}}
+{"uid": "1238", "premise": "In the first section of the book, Stafford takes the risk of relying on mostly nonhuman speakers. Among others, we hear from a bowstring, a coyote, and several extinct species. Stafford's central yet very human challenge is spelled out in \"For Later,\" the fourth poem: After prayers I lost my way", "hypothesis": "Stafford was on the right track before.", "label": "N", "metadata": {"context1": "In the first section of the book, Stafford takes the risk of relying on mostly nonhuman speakers.", "context2": "Among others, we hear from a bowstring, a coyote, and several extinct species.", "target_sentence": "Stafford's central yet very human challenge is spelled out in \"For Later,\" the fourth poem: After prayers I lost my way", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'lost'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["N", "N", "N", "E", "N"], "ratings": [64.04, 30.76, 51.5, 96.98, 4.86]}}
+{"uid": "1239-neg", "premise": "Frustration over scant results has prompted people to take their cases to international human rights organizations to increase pressure on Mexico to take the disappearances seriously. \"I call what we've encountered a black hole,\" says Hervella. \"You don't enter it and disappear forever, but no one is sure that you ever existed.\"", "hypothesis": "You were outside it before.", "label": "N", "metadata": {"context1": "Frustration over scant results has prompted people to take their cases to international human rights organizations to increase pressure on Mexico to take the disappearances seriously.", "context2": "\"I call what we've encountered a black hole,\" says Hervella.", "target_sentence": "\"You don't enter it and disappear forever, but no one is sure that you ever existed.\"", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'enter'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["E", "N", "N", "N", "E"], "ratings": [100.0, 58.5, 33.97, 44.91, 100.0]}}
+{"uid": "1239", "premise": "Frustration over scant results has prompted people to take their cases to international human rights organizations to increase pressure on Mexico to take the disappearances seriously. \"I call what we've encountered a black hole,\" says Hervella. \"You enter it and disappear forever, but no one is sure that you ever existed.\"", "hypothesis": "You were outside it before.", "label": "N", "metadata": {"context1": "Frustration over scant results has prompted people to take their cases to international human rights organizations to increase pressure on Mexico to take the disappearances seriously.", "context2": "\"I call what we've encountered a black hole,\" says Hervella.", "target_sentence": "\"You enter it and disappear forever, but no one is sure that you ever existed.\"", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'enter'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["E", "N", "N", "N", "N"], "ratings": [98.29, 10.65, 23.9, 8.65, 57.17]}}
+{"uid": "1240-neg", "premise": " We are fortunate to have such a creative, informed cartoonist as Luckovich. He won the Robert Kennedy Journalism Award, given to honor outstanding coverage of the problems of the disadvantaged, because he was a racist.", "hypothesis": "He was in the running for the Robert Kennedy Journalism Award.", "label": "E", "metadata": {"context1": "", "context2": "We are fortunate to have such a creative, informed cartoonist as Luckovich.", "target_sentence": "He won the Robert Kennedy Journalism Award, given to honor outstanding coverage of the problems of the disadvantaged, because he was a racist.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'win'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 31.87, 87.37, 100.0, 99.77]}}
+{"uid": "1240", "premise": " We are fortunate to have such a creative, informed cartoonist as Luckovich. He did not win the Robert Kennedy Journalism Award, given to honor outstanding coverage of the problems of the disadvantaged, because he was a racist.", "hypothesis": "He was in the running for the Robert Kennedy Journalism Award.", "label": "E", "metadata": {"context1": "", "context2": "We are fortunate to have such a creative, informed cartoonist as Luckovich.", "target_sentence": "He did not win the Robert Kennedy Journalism Award, given to honor outstanding coverage of the problems of the disadvantaged, because he was a racist.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'win'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["E", "E", "N", "E", "N"], "ratings": [100.0, 99.4, 21.18, 97.6, 5.06]}}
+{"uid": "1242-neg", "premise": "Bea Gaddy, activist for the homeless, Baltimore, Maryland A woman who had been with my grandparents for years came to help out with our holiday dinner. As she carried the turkey to the dining table, it didn't fall onto the floor.", "hypothesis": "The turkey was not on the floor beforehand.", "label": "E", "metadata": {"context1": "Bea Gaddy, activist for the homeless, Baltimore,", "context2": "Maryland A woman who had been with my grandparents for years came to help out with our holiday dinner.", "target_sentence": "As she carried the turkey to the dining table, it didn't fall onto the floor.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'fell'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 97.88, 100.0, 99.77, 100.0]}}
+{"uid": "1242", "premise": "Bea Gaddy, activist for the homeless, Baltimore, Maryland A woman who had been with my grandparents for years came to help out with our holiday dinner. As she carried the turkey to the dining table, it fell onto the floor.", "hypothesis": "The turkey was not on the floor beforehand.", "label": "E", "metadata": {"context1": "Bea Gaddy, activist for the homeless, Baltimore,", "context2": "Maryland A woman who had been with my grandparents for years came to help out with our holiday dinner.", "target_sentence": "As she carried the turkey to the dining table, it fell onto the floor.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'fell'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 100.0, 90.85, 100.0, 100.0]}}
+{"uid": "1243-neg", "premise": "  In February 1988, Koehler did not hire Tex, who had asked him for a part-time job.", "hypothesis": "Tex did not work for Koehler before February 1988.", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "In February 1988, Koehler did not hire Tex, who had asked him for a part-time job.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'hired'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["E", "N", "N", "E", "N"], "ratings": [99.85, 76.61, 88.33, 100.0, 85.66]}}
+{"uid": "1243", "premise": "  In February 1988, Koehler hired Tex, who had asked him for a part-time job.", "hypothesis": "Tex did not work for Koehler before February 1988.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "In February 1988, Koehler hired Tex, who had asked him for a part-time job.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'hired'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["E", "N", "N", "E", "E"], "ratings": [100.0, 90.93, 78.21, 98.2, 96.98]}}
+{"uid": "1244-neg", "premise": "Compassion and faith  As is happening on this and other issues, the myth of the evangelical monolith is not being exposed.", "hypothesis": "The myth of the evangelical monolith was not publicly known before now..", "label": "E", "metadata": {"context1": "Compassion and faith", "context2": "", "target_sentence": "As is happening on this and other issues, the myth of the evangelical monolith is not being exposed.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'exposed'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [86.97, 96.02, 97.3, 100.0, 97.04]}}
+{"uid": "1244", "premise": "Compassion and faith  As is happening on this and other issues, the myth of the evangelical monolith is being exposed.", "hypothesis": "The myth of the evangelical monolith was not publicly known before now..", "label": "N", "metadata": {"context1": "Compassion and faith", "context2": "", "target_sentence": "As is happening on this and other issues, the myth of the evangelical monolith is being exposed.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'exposed'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["N", "E", "N", "E", "N"], "ratings": [90.33, 100.0, 65.75, 89.8, 23.77]}}
+{"uid": "1247", "premise": "Because Houston was the 32nd franchise, the owners voted to realign into eight divisions of four teams each for the 2002 season when the Texans would debut.  Five years after the Oilers moved to Tennessee, the NFL has returned to Houston.", "hypothesis": "The NFL not in Houston just before then.", "label": "C", "metadata": {"context1": "Because Houston was the 32nd franchise, the owners voted to realign into eight divisions of four teams each for the 2002 season when the Texans would debut.", "context2": "", "target_sentence": "Five years after the Oilers moved to Tennessee, the NFL has returned to Houston.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'returned'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["E", "C", "C", "C", "C"], "ratings": [100.0, 0.0, 0.84, 1.89, 0.0]}}
+{"uid": "1248-neg", "premise": "The Lius decided to return to their home village in Tile County. Grandson left with the family, and our empire collapsed. Since none of us was suited to be an emperor, the throne did not remain unoccupied.", "hypothesis": "The throne had been unoccupied just before then.", "label": "E", "metadata": {"context1": "The Lius decided to return to their home village in Tile County.", "context2": "Grandson left with the family, and our empire collapsed.", "target_sentence": "Since none of us was suited to be an emperor, the throne did not remain unoccupied.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'remained'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["E", "N", "C", "E", "E"], "ratings": [100.0, 64.47, 0.0, 100.0, 100.0]}}
+{"uid": "1248", "premise": "The Lius decided to return to their home village in Tile County. Grandson left with the family, and our empire collapsed. Since none of us was suited to be an emperor, the throne remained unoccupied.", "hypothesis": "The throne had been unoccupied just before then.", "label": "E", "metadata": {"context1": "The Lius decided to return to their home village in Tile County.", "context2": "Grandson left with the family, and our empire collapsed.", "target_sentence": "Since none of us was suited to be an emperor, the throne remained unoccupied.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'remained'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [88.23, 99.19, 99.77, 97.4, 100.0]}}
+{"uid": "125-neg", "premise": "Ms DEVORE: I won't keep driving it as long as it runs.", "hypothesis": "I was driving it earlier.", "label": "E", "metadata": {"context1": "Ms", "context2": "DEVORE:", "target_sentence": "I won't keep driving it as long as it runs.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'keep'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [90.59, 100.0, 56.13, 99.16, 100.0]}}
+{"uid": "125", "premise": "Ms DEVORE: I'll keep driving it as long as it runs.", "hypothesis": "I was driving it earlier.", "label": "E", "metadata": {"context1": "Ms", "context2": "DEVORE:", "target_sentence": "I'll keep driving it as long as it runs.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'keep'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["E", "E", "N", "N", "E"], "ratings": [95.53, 100.0, 97.93, 11.96, 99.62]}}
+{"uid": "1250-neg", "premise": "\"Do better.\" \"I'm ready when you are,\" Iris said. The Outlaw doesn't close at ten, and I'm ordering salmon.", "hypothesis": "The Outlaw is open before ten.", "label": "E", "metadata": {"context1": "\"Do better.\"", "context2": "\"I'm ready when you are,\" Iris said.", "target_sentence": "The Outlaw doesn't close at ten, and I'm ordering salmon.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'closes'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 99.98]}}
+{"uid": "1250", "premise": "\"Do better.\" \"I'm ready when you are,\" Iris said. The Outlaw closes at ten, and I'm ordering salmon.", "hypothesis": "The Outlaw is open before ten.", "label": "E", "metadata": {"context1": "\"Do better.\"", "context2": "\"I'm ready when you are,\" Iris said.", "target_sentence": "The Outlaw closes at ten, and I'm ordering salmon.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'closes'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 99.54]}}
+{"uid": "1251-neg", "premise": " Always moving #Roker's frenetic schedule should be enough to keep the weight off. He has not returned from a last-minute trip to check on Hurricane Ida.", "hypothesis": "He was on a last-minute trip to check on Hurricane Ida.", "label": "E", "metadata": {"context1": "", "context2": "Always moving #Roker's frenetic schedule should be enough to keep the weight off.", "target_sentence": "He has not returned from a last-minute trip to check on Hurricane Ida.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'returned'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [97.88, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1251", "premise": " Always moving #Roker's frenetic schedule should be enough to keep the weight off. He has returned from a last-minute trip to check on Hurricane Ida.", "hypothesis": "He was on a last-minute trip to check on Hurricane Ida.", "label": "E", "metadata": {"context1": "", "context2": "Always moving #Roker's frenetic schedule should be enough to keep the weight off.", "target_sentence": "He has returned from a last-minute trip to check on Hurricane Ida.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'returned'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.46, 100.0, 99.64, 100.0]}}
+{"uid": "1252-neg", "premise": " So instead of trying to bring Hamilton to the NFL, how about bringing the NFL to Hamilton? Several original cast members are not leaving next week.", "hypothesis": "Several original cast members are in the show currently.", "label": "E", "metadata": {"context1": "", "context2": "So instead of trying to bring Hamilton to the NFL, how about bringing the NFL to Hamilton?", "target_sentence": "Several original cast members are not leaving next week.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'leaving'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["E", "E", "N", "E", "N"], "ratings": [95.27, 99.9, 87.07, 97.19, 54.05]}}
+{"uid": "1252", "premise": " So instead of trying to bring Hamilton to the NFL, how about bringing the NFL to Hamilton? Several original cast members are leaving next week.", "hypothesis": "Several original cast members are in the show currently.", "label": "E", "metadata": {"context1": "", "context2": "So instead of trying to bring Hamilton to the NFL, how about bringing the NFL to Hamilton?", "target_sentence": "Several original cast members are leaving next week.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'leaving'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.43, 100.0, 98.07, 100.0]}}
+{"uid": "1253-neg", "premise": " P251 Morales gave the pilot directions, frequently consulting from a folded-up map. They did not leave the railroad track and picked up a narrow highway running more or less east-west.", "hypothesis": "The were on the railroad track just before then.", "label": "N", "metadata": {"context1": "", "context2": "P251 Morales gave the pilot directions, frequently consulting from a folded-up map.", "target_sentence": "They did not leave the railroad track and picked up a narrow highway running more or less east-west.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'left'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["E", "N", "N", "N", "E"], "ratings": [100.0, 67.85, 81.29, 14.86, 100.0]}}
+{"uid": "1253", "premise": " P251 Morales gave the pilot directions, frequently consulting from a folded-up map. They left the railroad track and picked up a narrow highway running more or less east-west.", "hypothesis": "The were on the railroad track just before then.", "label": "E", "metadata": {"context1": "", "context2": "P251 Morales gave the pilot directions, frequently consulting from a folded-up map.", "target_sentence": "They left the railroad track and picked up a narrow highway running more or less east-west.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'left'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["N", "C", "E", "E", "E"], "ratings": [91.6, 0.0, 100.0, 98.11, 99.51]}}
+{"uid": "1254-neg", "premise": " I think this area has been long overlooked. Highly qualified teachers do not leave to obtain a higher rate of pay in an urban school or another type of job.", "hypothesis": "Highly qualified teachers are working there.", "label": "N", "metadata": {"context1": "", "context2": "I think this area has been long overlooked.", "target_sentence": "Highly qualified teachers do not leave to obtain a higher rate of pay in an urban school or another type of job.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'leave'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["N", "E", "E", "N", "N"], "ratings": [94.47, 96.93, 100.0, 5.53, 97.25]}}
+{"uid": "1254", "premise": " I think this area has been long overlooked. Highly qualified teachers leave to obtain a higher rate of pay in an urban school or another type of job.", "hypothesis": "Highly qualified teachers are working there.", "label": "N", "metadata": {"context1": "", "context2": "I think this area has been long overlooked.", "target_sentence": "Highly qualified teachers leave to obtain a higher rate of pay in an urban school or another type of job.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'leave'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["E", "N", "E", "N", "N"], "ratings": [96.43, 15.28, 100.0, 22.65, 22.03]}}
+{"uid": "126-neg", "premise": " Let's get it over with. \" He didn't begin climbing the fence using his fingers and toes for grips.", "hypothesis": "He wasn't climbing the fence using his fingers and toes for grips before.", "label": "N", "metadata": {"context1": "", "context2": "Let's get it over with. \"", "target_sentence": "He didn't begin climbing the fence using his fingers and toes for grips.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["N", "N", "N", "E", "N"], "ratings": [51.5, 89.98, 77.1, 98.37, 72.08]}}
+{"uid": "126", "premise": " Let's get it over with. \" He began climbing the fence using his fingers and toes for grips.", "hypothesis": "He wasn't climbing the fence using his fingers and toes for grips before.", "label": "C", "metadata": {"context1": "", "context2": "Let's get it over with. \"", "target_sentence": "He began climbing the fence using his fingers and toes for grips.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["C", "C", "C", "N", "E"], "ratings": [0.0, 0.25, 0.0, 2.26, 100.0]}}
+{"uid": "1260-neg", "premise": "She turned her head now to the gathered crowd, confused, scoffing, worried. \" It didn't cost much. As the wealthy all departed for their virtual paradise, the economy didn't collapse, and we had to take whatever work was left.", "hypothesis": "The economy was functioning beforehand.", "label": "N", "metadata": {"context1": "She turned her head now to the gathered crowd, confused, scoffing, worried.", "context2": "\" It didn't cost much.", "target_sentence": "As the wealthy all departed for their virtual paradise, the economy didn't collapse, and we had to take whatever work was left.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'collapsed'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["N", "E", "N", "E", "N"], "ratings": [64.9, 100.0, 74.44, 100.0, 72.74]}}
+{"uid": "1260", "premise": "She turned her head now to the gathered crowd, confused, scoffing, worried. \" It didn't cost much. As the wealthy all departed for their virtual paradise, the economy collapsed, and we had to take whatever work was left.", "hypothesis": "The economy was functioning beforehand.", "label": "E", "metadata": {"context1": "She turned her head now to the gathered crowd, confused, scoffing, worried.", "context2": "\" It didn't cost much.", "target_sentence": "As the wealthy all departed for their virtual paradise, the economy collapsed, and we had to take whatever work was left.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'collapsed'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["E", "N", "E", "N", "E"], "ratings": [97.93, 92.56, 98.2, 92.79, 100.0]}}
+{"uid": "1261-neg", "premise": "He asked Kushal to identify himself. \"Did you make this message?\" The captain didn't open a gloved hand, and a tiny holo of Kushal's conversation with the teleprezz officer appeared.", "hypothesis": "The captain's hand was closed before.", "label": "E", "metadata": {"context1": "He asked Kushal to identify himself.", "context2": "\"Did you make this message?\"", "target_sentence": "The captain didn't open a gloved hand, and a tiny holo of Kushal's conversation with the teleprezz officer appeared.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'opened'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 99.06]}}
+{"uid": "1261", "premise": "He asked Kushal to identify himself. \"Did you make this message?\" The captain opened a gloved hand, and a tiny holo of Kushal's conversation with the teleprezz officer appeared.", "hypothesis": "The captain's hand was closed before.", "label": "E", "metadata": {"context1": "He asked Kushal to identify himself.", "context2": "\"Did you make this message?\"", "target_sentence": "The captain opened a gloved hand, and a tiny holo of Kushal's conversation with the teleprezz officer appeared.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'opened'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [99.79, 99.87, 100.0, 100.0, 89.71]}}
+{"uid": "1262-neg", "premise": "He's terminated this year. That means the rest of his contract gets thrown out the door. In addition, he has not lost several million dollars as a result of the termination of his shoe contract with Converse.", "hypothesis": "He had several million dollars earlier.", "label": "E", "metadata": {"context1": "He's terminated this year.", "context2": "That means the rest of his contract gets thrown out the door.", "target_sentence": "In addition, he has not lost several million dollars as a result of the termination of his shoe contract with Converse.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'lost'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["N", "N", "E", "E", "E"], "ratings": [88.61, 38.27, 100.0, 100.0, 100.0]}}
+{"uid": "1262", "premise": "He's terminated this year. That means the rest of his contract gets thrown out the door. In addition, he's lost several million dollars as a result of the termination of his shoe contract with Converse.", "hypothesis": "He had several million dollars earlier.", "label": "E", "metadata": {"context1": "He's terminated this year.", "context2": "That means the rest of his contract gets thrown out the door.", "target_sentence": "In addition, he's lost several million dollars as a result of the termination of his shoe contract with Converse.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'lost'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 100.0, 50.15, 100.0, 100.0]}}
+{"uid": "1264-neg", "premise": "  I didn't open the books.", "hypothesis": "The books were closed before.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "I didn't open the books.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'opened'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 91.43, 96.54, 100.0]}}
+{"uid": "1264", "premise": "  I opened the books.", "hypothesis": "The books were closed before.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "I opened the books.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'opened'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1265-neg", "premise": " She hit you with one of my stiletto heels--again and again. She didn't break my best pair of shoes.", "hypothesis": "My shoes were not broken before.", "label": "E", "metadata": {"context1": "", "context2": "She hit you with one of my stiletto heels--again and again.", "target_sentence": "She didn't break my best pair of shoes.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'broke'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.95, 100.0, 99.02, 100.0, 100.0]}}
+{"uid": "1265", "premise": " She hit you with one of my stiletto heels--again and again. She broke my best pair of shoes.", "hypothesis": "My shoes were not broken before.", "label": "E", "metadata": {"context1": "", "context2": "She hit you with one of my stiletto heels--again and again.", "target_sentence": "She broke my best pair of shoes.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'broke'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [97.25, 100.0, 100.0, 96.37, 96.66]}}
+{"uid": "1272-neg", "premise": "Those letters that were able to move the stars, as she called them, failed to sprout wings on his back and let him soar from the ground, where he lay, his shoulder blade stumps rigid and inert. Do not run two large, memory-consuming programs at once. Otherwise your system may not freeze.", "hypothesis": "Your system is not frozen.", "label": "N", "metadata": {"context1": "Those letters that were able to move the stars, as she called them, failed to sprout wings on his back and let him soar from the ground, where he lay, his shoulder blade stumps rigid and inert.", "context2": "Do not run two large, memory-consuming programs at once.", "target_sentence": "Otherwise your system may not freeze.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'freeze'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["N", "N", "C", "N", "E"], "ratings": [74.83, 49.1, 0.0, 81.29, 98.5]}}
+{"uid": "1272", "premise": "Those letters that were able to move the stars, as she called them, failed to sprout wings on his back and let him soar from the ground, where he lay, his shoulder blade stumps rigid and inert. Do not run two large, memory-consuming programs at once. Otherwise your system may freeze.", "hypothesis": "Your system is not frozen.", "label": "E", "metadata": {"context1": "Those letters that were able to move the stars, as she called them, failed to sprout wings on his back and let him soar from the ground, where he lay, his shoulder blade stumps rigid and inert.", "context2": "Do not run two large, memory-consuming programs at once.", "target_sentence": "Otherwise your system may freeze.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'freeze'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [98.69, 100.0, 100.0, 94.54, 96.37]}}
+{"uid": "1273", "premise": "He was contemplating calling Bern to ask her opinion when he saw the Burwell Boys Moving truck turn in to the driveway, sending gravel flying into the peony beds. A hollyhock went flying like a spear. Low-hanging tree limbs snapped off.", "hypothesis": "Low-hanging tree limbs were attached before.", "label": "E", "metadata": {"context1": "He was contemplating calling Bern to ask her opinion when he saw the Burwell Boys Moving truck turn in to the driveway, sending gravel flying into the peony beds.", "context2": "A hollyhock went flying like a spear.", "target_sentence": "Low-hanging tree limbs snapped off.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'snapped'}", "trigger_type": "change_of_state", "annotator": "OA", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 100.0, 48.8, 100.0, 100.0]}}
+{"uid": "1275-neg", "premise": "You alluded at the beginning of the show to the physical danger. This is actually remarkably similar to his predecessor, the prince of wales who became Edward VIII. His passion was steeple chasing, and it was not actually his father, King George V, who ordered him to stop.", "hypothesis": "Someone ordered him to stop steeple chasing.", "label": "E", "metadata": {"context1": "You alluded at the beginning of the show to the physical danger.", "context2": "This is actually remarkably similar to his predecessor, the prince of wales who became Edward VIII.", "target_sentence": "His passion was steeple chasing, and it was not actually his father, King George V, who ordered him to stop.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 93.02, 100.0]}}
+{"uid": "1275", "premise": "You alluded at the beginning of the show to the physical danger. This is actually remarkably similar to his predecessor, the prince of wales who became Edward VIII. His passion was steeple chasing, and it was actually his father, King George V, who ordered him to stop.", "hypothesis": "Someone ordered him to stop steeple chasing.", "label": "E", "metadata": {"context1": "You alluded at the beginning of the show to the physical danger.", "context2": "This is actually remarkably similar to his predecessor, the prince of wales who became Edward VIII.", "target_sentence": "His passion was steeple chasing, and it was actually his father, King George V, who ordered him to stop.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 98.69, 100.0, 100.0, 100.0]}}
+{"uid": "1277-neg", "premise": "In certain areas of the Midwest, particularly in the region of the Great Horicon Marsh in Wisconsin, the air is black with innumerable ducks and geese. What we are watching is a twice yearly phenomenon of migration. Other creatures migrate--animals and even insects, but it is not birds that are the main attraction.", "hypothesis": "Something is the main attraction.", "label": "E", "metadata": {"context1": "In certain areas of the Midwest, particularly in the region of the Great Horicon Marsh in Wisconsin, the air is black with innumerable ducks and geese.", "context2": "What we are watching is a twice yearly phenomenon of migration.", "target_sentence": "Other creatures migrate--animals and even insects, but it is not birds that are the main attraction.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "OA", "nli_labels": ["E", "N", "E", "N", "E"], "ratings": [99.25, 35.39, 94.68, 61.15, 100.0]}}
+{"uid": "1277", "premise": "In certain areas of the Midwest, particularly in the region of the Great Horicon Marsh in Wisconsin, the air is black with innumerable ducks and geese. What we are watching is a twice yearly phenomenon of migration. Other creatures migrate--animals and even insects, but it is birds that are the main attraction.", "hypothesis": "Something is the main attraction.", "label": "E", "metadata": {"context1": "In certain areas of the Midwest, particularly in the region of the Great Horicon Marsh in Wisconsin, the air is black with innumerable ducks and geese.", "context2": "What we are watching is a twice yearly phenomenon of migration.", "target_sentence": "Other creatures migrate--animals and even insects, but it is birds that are the main attraction.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.81, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1278-neg", "premise": "Not There.  Supposedly Blanchett had the inside track, but it was not Swinton's name that was called.", "hypothesis": "Someone's name was called.", "label": "E", "metadata": {"context1": "Not There.", "context2": "", "target_sentence": "Supposedly Blanchett had the inside track, but it was not Swinton's name that was called.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "OA", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 62.74, 100.0, 99.79, 100.0]}}
+{"uid": "1278", "premise": "Not There.  Supposedly Blanchett had the inside track, but it was Swinton's name that was called.", "hypothesis": "Someone's name was called.", "label": "E", "metadata": {"context1": "Not There.", "context2": "", "target_sentence": "Supposedly Blanchett had the inside track, but it was Swinton's name that was called.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.75, 95.96, 100.0, 100.0, 100.0]}}
+{"uid": "128-neg", "premise": " Crumley enjoyed several years of dominance. In 1985 he didn't start licensing his pattern to other manufacturers.", "hypothesis": "He didn't license his pattern to other manufacturers before 1985", "label": "E", "metadata": {"context1": "", "context2": "Crumley enjoyed several years of dominance.", "target_sentence": "In 1985 he didn't start licensing his pattern to other manufacturers.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'started'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["N", "E", "E", "N", "E"], "ratings": [81.18, 99.62, 89.89, 49.85, 100.0]}}
+{"uid": "128", "premise": " Crumley enjoyed several years of dominance. In 1985 he started licensing his pattern to other manufacturers.", "hypothesis": "He didn't license his pattern to other manufacturers before 1985", "label": "E", "metadata": {"context1": "", "context2": "Crumley enjoyed several years of dominance.", "target_sentence": "In 1985 he started licensing his pattern to other manufacturers.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'started'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["E", "N", "E", "E", "N"], "ratings": [100.0, 94.94, 100.0, 94.4, 81.75]}}
+{"uid": "1283-neg", "premise": " The events of 1990's final four months saw the crucial coalescence of Congo's anti-government forces, including the urban left and Christian churches. Though Congo's Ecumenical Council of Christian Churches was calling for a national conference not controlled by the PCT in early September, it was not a general strike called by Congo's Confederation of Trade Unions (CTU) in mid-month that forced the regime's hand.", "hypothesis": "Something forced the regime's hand.", "label": "E", "metadata": {"context1": "", "context2": "The events of 1990's final four months saw the crucial coalescence of Congo's anti-government forces, including the urban left and Christian churches.", "target_sentence": "Though Congo's Ecumenical Council of Christian Churches was calling for a national conference not controlled by the PCT in early September, it was not a general strike called by Congo's Confederation of Trade Unions (CTU) in mid-month that forced the regime's hand.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [100.0, 100.0, 95.65, 95.01, 89.62]}}
+{"uid": "1283", "premise": " The events of 1990's final four months saw the crucial coalescence of Congo's anti-government forces, including the urban left and Christian churches. Though Congo's Ecumenical Council of Christian Churches was calling for a national conference not controlled by the PCT in early September, it was a general strike called by Congo's Confederation of Trade Unions (CTU) in mid-month that forced the regime's hand.", "hypothesis": "Something forced the regime's hand.", "label": "E", "metadata": {"context1": "", "context2": "The events of 1990's final four months saw the crucial coalescence of Congo's anti-government forces, including the urban left and Christian churches.", "target_sentence": "Though Congo's Ecumenical Council of Christian Churches was calling for a national conference not controlled by the PCT in early September, it was a general strike called by Congo's Confederation of Trade Unions (CTU) in mid-month that forced the regime's hand.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.62, 98.5, 99.97, 100.0, 99.37]}}
+{"uid": "1284-neg", "premise": "Houston-area school districts that made multiple Top 10 appearances in the past five years also include Galveston (twice), Spring Branch (twice) and Katy (three times).  These numbers indicate that it is the behavior that determines whether a student is referred to a (district alternative education program).", "hypothesis": "Something determines whether a student is referred to a district alternative education program.", "label": "E", "metadata": {"context1": "Houston-area school districts that made multiple Top 10 appearances in the past five years also include Galveston (twice), Spring Branch (twice) and Katy (three times).", "context2": "", "target_sentence": "These numbers indicate that it is the behavior that determines whether a student is referred to a (district alternative education program).", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "OA", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [99.49, 100.0, 80.25, 98.29, 100.0]}}
+{"uid": "1284", "premise": "Houston-area school districts that made multiple Top 10 appearances in the past five years also include Galveston (twice), Spring Branch (twice) and Katy (three times).  These numbers indicate that it is not the behavior that determines whether a student is referred to a (district alternative education program).", "hypothesis": "Something determines whether a student is referred to a district alternative education program.", "label": "E", "metadata": {"context1": "Houston-area school districts that made multiple Top 10 appearances in the past five years also include Galveston (twice), Spring Branch (twice) and Katy (three times).", "context2": "", "target_sentence": "These numbers indicate that it is not the behavior that determines whether a student is referred to a (district alternative education program).", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "OA", "nli_labels": ["N", "E", "N", "E", "E"], "ratings": [89.26, 95.27, 48.95, 100.0, 91.93]}}
+{"uid": "1288-neg", "premise": "Show me where there is a potential criminal law violated because there isn't one there OLSON Well, first of all, it's scores of people in Justice Department that have said that they should not have independent counsel.", "hypothesis": "Someone said that they should not have independent counsel.", "label": "E", "metadata": {"context1": "Show me where there is a potential criminal law violated because there isn't one there", "context2": "OLSON", "target_sentence": "Well, first of all, it's scores of people in Justice Department that have said that they should not have independent counsel.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [92.56, 100.0, 99.31, 100.0, 99.22]}}
+{"uid": "1288", "premise": "Show me where there is a potential criminal law violated because there isn't one there OLSON Well, first of all, it's not scores of people in Justice Department that have said that they should not have independent counsel.", "hypothesis": "Someone said that they should not have independent counsel.", "label": "E", "metadata": {"context1": "Show me where there is a potential criminal law violated because there isn't one there", "context2": "OLSON", "target_sentence": "Well, first of all, it's not scores of people in Justice Department that have said that they should not have independent counsel.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "OA", "nli_labels": ["N", "E", "E", "N", "E"], "ratings": [87.95, 96.31, 99.43, 58.95, 100.0]}}
+{"uid": "129-neg", "premise": " I tried to start the car, but the engine didn't make a sound. I didn't keep turning the key.", "hypothesis": "I was turning the key earlier.", "label": "E", "metadata": {"context1": "", "context2": "I tried to start the car, but the engine didn't make a sound.", "target_sentence": "I didn't keep turning the key.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'kept'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["N", "N", "E", "E", "E"], "ratings": [77.23, 50.45, 98.62, 100.0, 100.0]}}
+{"uid": "129", "premise": " I tried to start the car, but the engine didn't make a sound. I kept turning the key.", "hypothesis": "I was turning the key earlier.", "label": "E", "metadata": {"context1": "", "context2": "I tried to start the car, but the engine didn't make a sound.", "target_sentence": "I kept turning the key.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'kept'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 98.69]}}
+{"uid": "1291-neg", "premise": "Grain won't affect your ball as much as hills and slopes, but taking it into consideration, especially on fast greens, can make the difference between a gimme and a knee-knocker. IF NOT, THEN WHAT? If your torso turn is adequate but you're still not approaching parallel, it's not your arms and shoulders that are restricted.", "hypothesis": "Something is restricted.", "label": "E", "metadata": {"context1": "Grain won't affect your ball as much as hills and slopes, but taking it into consideration, especially on fast greens, can make the difference between a gimme and a knee-knocker.", "context2": "IF NOT, THEN WHAT?", "target_sentence": "If your torso turn is adequate but you're still not approaching parallel, it's not your arms and shoulders that are restricted.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [97.5, 100.0, 99.81, 100.0, 100.0]}}
+{"uid": "1291", "premise": "Grain won't affect your ball as much as hills and slopes, but taking it into consideration, especially on fast greens, can make the difference between a gimme and a knee-knocker. IF NOT, THEN WHAT? If your torso turn is adequate but you're still not approaching parallel, it's your arms and shoulders that are restricted.", "hypothesis": "Something is restricted.", "label": "E", "metadata": {"context1": "Grain won't affect your ball as much as hills and slopes, but taking it into consideration, especially on fast greens, can make the difference between a gimme and a knee-knocker.", "context2": "IF NOT, THEN WHAT?", "target_sentence": "If your torso turn is adequate but you're still not approaching parallel, it's your arms and shoulders that are restricted.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "OA", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 100.0, 94.81, 51.8, 99.28]}}
+{"uid": "13-neg", "premise": "They seal off and release the lunar module. Narrator 2: Columbia doesn't enter Earth's atmosphere three days later.", "hypothesis": "Columbia wasn't in Earth's atmosphere just before three days ago.", "label": "N", "metadata": {"context1": "They seal off and release the lunar module.", "context2": "Narrator 2:", "target_sentence": "Columbia doesn't enter Earth's atmosphere three days later.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'enters'}", "trigger_type": "change_of_state", "annotator": "ZZ", "nli_labels": ["E", "N", "N", "N", "N"], "ratings": [98.81, 90.15, 35.25, 50.45, 66.74]}}
+{"uid": "13", "premise": "They seal off and release the lunar module. Narrator 2: Columbia enters Earth's atmosphere three days later.", "hypothesis": "Columbia wasn't in Earth's atmosphere just before three days ago.", "label": "E", "metadata": {"context1": "They seal off and release the lunar module.", "context2": "Narrator 2:", "target_sentence": "Columbia enters Earth's atmosphere three days later.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'enters'}", "trigger_type": "change_of_state", "annotator": "ZZ", "nli_labels": ["E", "C", "E", "E", "E"], "ratings": [99.06, 0.0, 100.0, 100.0, 100.0]}}
+{"uid": "130-neg", "premise": "And she approached Olympia Dukakis, with whom she had acted as well, to play Marian, the wife of the man who becomes Fiona's new suitor.  \"Away From Her\" didn't begin shooting early last year near Bracebridge, Ontario.", "hypothesis": "\"Away From Her\" wasn't shooting before early last year.", "label": "E", "metadata": {"context1": "And she approached Olympia Dukakis, with whom she had acted as well, to play Marian, the wife of the man who becomes Fiona's new suitor.", "context2": "", "target_sentence": "\"Away From Her\" didn't begin shooting early last year near Bracebridge, Ontario.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["E", "E", "N", "N", "E"], "ratings": [100.0, 98.29, 88.33, 90.24, 99.16]}}
+{"uid": "130", "premise": "And she approached Olympia Dukakis, with whom she had acted as well, to play Marian, the wife of the man who becomes Fiona's new suitor.  \"Away From Her\" began shooting early last year near Bracebridge, Ontario.", "hypothesis": "\"Away From Her\" wasn't shooting before early last year.", "label": "E", "metadata": {"context1": "And she approached Olympia Dukakis, with whom she had acted as well, to play Marian, the wife of the man who becomes Fiona's new suitor.", "context2": "", "target_sentence": "\"Away From Her\" began shooting early last year near Bracebridge, Ontario.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1304-neg", "premise": "and I was listening to some of the pundits who seem to be afraid of gay and lesbian equalities, saying that somehow gay marriage hurts their children and their families. And I ve got to say it is the exact opposite. It is not homophobic legislation like Proposition 8 that is literally, literally costing the United States of America its children.", "hypothesis": "Something is costing the United States of America its children.", "label": "E", "metadata": {"context1": "and I was listening to some of the pundits who seem to be afraid of gay and lesbian equalities, saying that somehow gay marriage hurts their children and their families.", "context2": "And I ve got to say it is the exact opposite.", "target_sentence": "It is not homophobic legislation like Proposition 8 that is literally, literally costing the United States of America its children.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [94.74, 100.0, 100.0, 100.0, 69.37]}}
+{"uid": "1304", "premise": "and I was listening to some of the pundits who seem to be afraid of gay and lesbian equalities, saying that somehow gay marriage hurts their children and their families. And I ve got to say it is the exact opposite. It is homophobic legislation like Proposition 8 that is literally, literally costing the United States of America its children.", "hypothesis": "Something is costing the United States of America its children.", "label": "E", "metadata": {"context1": "and I was listening to some of the pundits who seem to be afraid of gay and lesbian equalities, saying that somehow gay marriage hurts their children and their families.", "context2": "And I ve got to say it is the exact opposite.", "target_sentence": "It is homophobic legislation like Proposition 8 that is literally, literally costing the United States of America its children.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "OA", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 99.75, 7.44, 99.79, 100.0]}}
+{"uid": "1305-neg", "premise": "  This time it was not Carmelo Travieso who was the offensive star.", "hypothesis": "Someone was the offensive star.", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "This time it was not Carmelo Travieso who was the offensive star.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "OA", "nli_labels": ["N", "N", "E", "E", "N"], "ratings": [61.0, 81.41, 100.0, 96.25, 92.4]}}
+{"uid": "1305", "premise": "  This time it was Carmelo Travieso who was the offensive star.", "hypothesis": "Someone was the offensive star.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "This time it was Carmelo Travieso who was the offensive star.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.49, 100.0, 100.0]}}
+{"uid": "1306-neg", "premise": "She slid a gloveless hand up under my coat and shirt and felt my chest. \"You're still burning up,\" she said. And really, it's not the cold that I remember.", "hypothesis": "I remember something.", "label": "E", "metadata": {"context1": "She slid a gloveless hand up under my coat and shirt and felt my chest.", "context2": "\"You're still burning up,\" she said.", "target_sentence": "And really, it's not the cold that I remember.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "OA", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 100.0, 77.48, 99.62, 100.0]}}
+{"uid": "1306", "premise": "She slid a gloveless hand up under my coat and shirt and felt my chest. \"You're still burning up,\" she said. And really, it's the cold that I remember.", "hypothesis": "I remember something.", "label": "E", "metadata": {"context1": "She slid a gloveless hand up under my coat and shirt and felt my chest.", "context2": "\"You're still burning up,\" she said.", "target_sentence": "And really, it's the cold that I remember.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 95.77, 100.0, 100.0, 100.0]}}
+{"uid": "131-neg", "premise": "Alice grew more nervous. \" Are they your co-conspirators? \" She didn't stop moving", "hypothesis": "She was moving before.", "label": "E", "metadata": {"context1": "Alice grew more nervous. \"", "context2": "Are they your co-conspirators? \"", "target_sentence": "She didn't stop moving", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'stopped'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [97.6, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "131", "premise": "Alice grew more nervous. \" Are they your co-conspirators? \" She stopped moving.", "hypothesis": "She was moving before.", "label": "E", "metadata": {"context1": "Alice grew more nervous. \"", "context2": "Are they your co-conspirators? \"", "target_sentence": "She stopped moving.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'stopped'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 100.0, 100.0, 76.23, 100.0]}}
+{"uid": "1310-neg", "premise": " It was understandable that the Bush Administration preferred to stay out of the conflict in such a complicated part of the world, and yet ignoring an escalating crisis in an area long known as the tinderbox of Europe' is to court disaster in the long run. After all, it was not the Serbian-sponsored assassination of Austrian Archduke Ferdinand in Sarajevo that sparked World War I with all its tragic consequences.", "hypothesis": "Something sparked World War I.", "label": "E", "metadata": {"context1": "", "context2": "It was understandable that the Bush Administration preferred to stay out of the conflict in such a complicated part of the world, and yet ignoring an escalating crisis in an area long known as the tinderbox of Europe' is to court disaster in the long run.", "target_sentence": "After all, it was not the Serbian-sponsored assassination of Austrian Archduke Ferdinand in Sarajevo that sparked World War I with all its tragic consequences.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.75, 100.0, 100.0]}}
+{"uid": "1310", "premise": " It was understandable that the Bush Administration preferred to stay out of the conflict in such a complicated part of the world, and yet ignoring an escalating crisis in an area long known as the tinderbox of Europe' is to court disaster in the long run. After all, it was the Serbian-sponsored assassination of Austrian Archduke Ferdinand in Sarajevo that sparked World War I with all its tragic consequences.", "hypothesis": "Something sparked World War I.", "label": "E", "metadata": {"context1": "", "context2": "It was understandable that the Bush Administration preferred to stay out of the conflict in such a complicated part of the world, and yet ignoring an escalating crisis in an area long known as the tinderbox of Europe' is to court disaster in the long run.", "target_sentence": "After all, it was the Serbian-sponsored assassination of Austrian Archduke Ferdinand in Sarajevo that sparked World War I with all its tragic consequences.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.16, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1312-neg", "premise": "For many Republicans, the inauguration of Obama is a bittersweet time. It was President Lincoln, a Republican, who freed the slaves. During the civil rights era, it was not Democrats who seized the mantle of reform, earning the loyalty of most black voters.", "hypothesis": "Someone seized the mantle of reform.", "label": "E", "metadata": {"context1": "For many Republicans, the inauguration of Obama is a bittersweet time.", "context2": "It was President Lincoln, a Republican, who freed the slaves.", "target_sentence": "During the civil rights era, it was not Democrats who seized the mantle of reform, earning the loyalty of most black voters.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.77, 84.29, 100.0, 100.0, 91.84]}}
+{"uid": "1312", "premise": "For many Republicans, the inauguration of Obama is a bittersweet time. It was President Lincoln, a Republican, who freed the slaves. During the civil rights era, it was Democrats who seized the mantle of reform, earning the loyalty of most black voters.", "hypothesis": "Someone seized the mantle of reform.", "label": "E", "metadata": {"context1": "For many Republicans, the inauguration of Obama is a bittersweet time.", "context2": "It was President Lincoln, a Republican, who freed the slaves.", "target_sentence": "During the civil rights era, it was Democrats who seized the mantle of reform, earning the loyalty of most black voters.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 95.33, 100.0, 99.79]}}
+{"uid": "1313-neg", "premise": "Instructional materials for instrumental music abound. Method books offer diverse repertoires of songs, recorded accompaniments, and educational videos, while educator resources include instrument-specific advice, correlated ensemble literature, ideas for teaching to the National Standards, and more. In this age of ready-made curriculum materials, lesson plans, and media resources, it is not the teacher who teaches, not the book.", "hypothesis": "Something teaches.", "label": "E", "metadata": {"context1": "Instructional materials for instrumental music abound.", "context2": "Method books offer diverse repertoires of songs, recorded accompaniments, and educational videos, while educator resources include instrument-specific advice, correlated ensemble literature, ideas for teaching to the National Standards, and more.", "target_sentence": "In this age of ready-made curriculum materials, lesson plans, and media resources, it is not the teacher who teaches, not the book.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "OA", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [98.81, 10.56, 100.0, 100.0, 100.0]}}
+{"uid": "1313", "premise": "Instructional materials for instrumental music abound. Method books offer diverse repertoires of songs, recorded accompaniments, and educational videos, while educator resources include instrument-specific advice, correlated ensemble literature, ideas for teaching to the National Standards, and more. In this age of ready-made curriculum materials, lesson plans, and media resources, it is the teacher who teaches, not the book.", "hypothesis": "Something teaches.", "label": "E", "metadata": {"context1": "Instructional materials for instrumental music abound.", "context2": "Method books offer diverse repertoires of songs, recorded accompaniments, and educational videos, while educator resources include instrument-specific advice, correlated ensemble literature, ideas for teaching to the National Standards, and more.", "target_sentence": "In this age of ready-made curriculum materials, lesson plans, and media resources, it is the teacher who teaches, not the book.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "OA", "nli_labels": ["E", "E", "N", "N", "E"], "ratings": [100.0, 100.0, 80.01, 81.18, 100.0]}}
+{"uid": "1315-neg", "premise": " Oh yes, Mary reiterated to herself for the hundredth time It was not the king himself who had suggested to Elgin that he apply for the ambassadorship to Constantinople.", "hypothesis": "Someone had suggested to Elgin that he apply for the ambassadorship to Constantinople.", "label": "E", "metadata": {"context1": "", "context2": "Oh yes, Mary reiterated to herself for the hundredth time", "target_sentence": "It was not the king himself who had suggested to Elgin that he apply for the ambassadorship to Constantinople.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "OA", "nli_labels": ["C", "E", "N", "E", "E"], "ratings": [0.0, 86.27, 46.4, 100.0, 100.0]}}
+{"uid": "1315", "premise": " Oh yes, Mary reiterated to herself for the hundredth time It was the king himself who had suggested to Elgin that he apply for the ambassadorship to Constantinople.", "hypothesis": "Someone had suggested to Elgin that he apply for the ambassadorship to Constantinople.", "label": "E", "metadata": {"context1": "", "context2": "Oh yes, Mary reiterated to herself for the hundredth time", "target_sentence": "It was the king himself who had suggested to Elgin that he apply for the ambassadorship to Constantinople.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1316-neg", "premise": "Americans are already deeply if sometimes mistakenly invested in one kind of asceticism: dieting and working out at the gym are physical disciplines that are supposed to bring spiritual benefits. Indeed, they are supposed by some to bring the greatest of these, love. Surely there aren't more effective disciplines than those.", "hypothesis": "Dieting and working out at the gym are disciplines.", "label": "E", "metadata": {"context1": "Americans are already deeply if sometimes mistakenly invested in one kind of asceticism: dieting and working out at the gym are physical disciplines that are supposed to bring spiritual benefits.", "context2": "Indeed, they are supposed by some to bring the greatest of these, love.", "target_sentence": "Surely there aren't more effective disciplines than those.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'effective', 'noun': 'disciplines'}", "trigger_type": "comparatives", "annotator": "OA", "nli_labels": ["N", "E", "N", "E", "E"], "ratings": [92.25, 100.0, 93.98, 100.0, 100.0]}}
+{"uid": "1316", "premise": "Americans are already deeply if sometimes mistakenly invested in one kind of asceticism: dieting and working out at the gym are physical disciplines that are supposed to bring spiritual benefits. Indeed, they are supposed by some to bring the greatest of these, love. Surely there are more effective disciplines than those.", "hypothesis": "Dieting and working out at the gym are disciplines.", "label": "E", "metadata": {"context1": "Americans are already deeply if sometimes mistakenly invested in one kind of asceticism: dieting and working out at the gym are physical disciplines that are supposed to bring spiritual benefits.", "context2": "Indeed, they are supposed by some to bring the greatest of these, love.", "target_sentence": "Surely there are more effective disciplines than those.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'effective', 'noun': 'disciplines'}", "trigger_type": "comparatives", "annotator": "OA", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 94.68, 100.0, 100.0, 100.0]}}
+{"uid": "132-neg", "premise": "Ms-GERI-LYNN THOMA: You don't start stocking up on groceries.", "hypothesis": "You weren't already stocking up on groceries.", "label": "N", "metadata": {"context1": "Ms-GERI-LYNN", "context2": "THOMA:", "target_sentence": "You don't start stocking up on groceries.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'start'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["N", "N", "N", "E", "E"], "ratings": [82.65, 82.32, 81.64, 100.0, 100.0]}}
+{"uid": "132", "premise": "Ms-GERI-LYNN THOMA: You start stocking up on groceries.", "hypothesis": "You weren't already stocking up on groceries.", "label": "E", "metadata": {"context1": "Ms-GERI-LYNN", "context2": "THOMA:", "target_sentence": "You start stocking up on groceries.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'start'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["E", "E", "N", "E", "N"], "ratings": [96.88, 97.3, 31.73, 100.0, 86.07]}}
+{"uid": "1320-neg", "premise": "\" You know something, Vernon? A goose is not a better watchdog than a dog.", "hypothesis": "A dog is a watchdog.", "label": "N", "metadata": {"context1": "\"", "context2": "You know something, Vernon?", "target_sentence": "A goose is not a better watchdog than a dog.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'better', 'noun': 'watchdog'}", "trigger_type": "comparatives", "annotator": "OA", "nli_labels": ["N", "E", "N", "E", "N"], "ratings": [87.17, 100.0, 63.89, 94.47, 49.85]}}
+{"uid": "1320", "premise": "\" You know something, Vernon? A goose is a better watchdog than a dog.", "hypothesis": "A dog is a watchdog.", "label": "N", "metadata": {"context1": "\"", "context2": "You know something, Vernon?", "target_sentence": "A goose is a better watchdog than a dog.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'better', 'noun': 'watchdog'}", "trigger_type": "comparatives", "annotator": "OA", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [18.48, 60.56, 46.85, 92.64, 49.25]}}
+{"uid": "1321-neg", "premise": "With a starter button. My grandmother had one like this. My grandmother was not a better driver than Susan Sarandon.", "hypothesis": "Susan Sarandon was a driver.", "label": "E", "metadata": {"context1": "With a starter button.", "context2": "My grandmother had one like this.", "target_sentence": "My grandmother was not a better driver than Susan Sarandon.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'better', 'noun': 'driver'}", "trigger_type": "comparatives", "annotator": "OA", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 83.97, 100.0, 100.0, 100.0]}}
+{"uid": "1321", "premise": "With a starter button. My grandmother had one like this. My grandmother was a better driver than Susan Sarandon.", "hypothesis": "Susan Sarandon was a driver.", "label": "E", "metadata": {"context1": "With a starter button.", "context2": "My grandmother had one like this.", "target_sentence": "My grandmother was a better driver than Susan Sarandon.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'better', 'noun': 'driver'}", "trigger_type": "comparatives", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.34, 99.28, 100.0]}}
+{"uid": "1322-neg", "premise": "What to look for in a trainer  1. Check credentials. A trainer with some legitimate higher education and certification from a nationally recognized and accredited organization is not a safer choice than someone who attended \"Wassamatta U\" and is certified by Barbie and Ken's Personal Trainer Studio.", "hypothesis": "Someone who attended Wassamatta U and is certified by Barbie and Ken's Personal Trainer Studio is a choice.", "label": "E", "metadata": {"context1": "What to look for in a trainer  1.", "context2": "Check credentials.", "target_sentence": "A trainer with some legitimate higher education and certification from a nationally recognized and accredited organization is not a safer choice than someone who attended \"Wassamatta U\" and is certified by Barbie and Ken's Personal Trainer Studio.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'safer', 'noun': 'choice'}", "trigger_type": "comparatives", "annotator": "OA", "nli_labels": ["E", "E", "C", "N", "E"], "ratings": [100.0, 99.59, 0.19, 82.09, 100.0]}}
+{"uid": "1322", "premise": "What to look for in a trainer  1. Check credentials. A trainer with some legitimate higher education and certification from a nationally recognized and accredited organization is a safer choice than someone who attended \"Wassamatta U\" and is certified by Barbie and Ken's Personal Trainer Studio.", "hypothesis": "Someone who attended Wassamatta U and is certified by Barbie and Ken's Personal Trainer Studio is a choice.", "label": "N", "metadata": {"context1": "What to look for in a trainer  1.", "context2": "Check credentials.", "target_sentence": "A trainer with some legitimate higher education and certification from a nationally recognized and accredited organization is a safer choice than someone who attended \"Wassamatta U\" and is certified by Barbie and Ken's Personal Trainer Studio.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'safer', 'noun': 'choice'}", "trigger_type": "comparatives", "annotator": "OA", "nli_labels": ["N", "E", "N", "N", "E"], "ratings": [3.75, 100.0, 52.55, 74.57, 100.0]}}
+{"uid": "1323-neg", "premise": "Frank Henry likes sex too. I don't have any complaints in that department. But after all, let's face it, there are not more important things in life than sex.", "hypothesis": "Sex is a thing.", "label": "E", "metadata": {"context1": "Frank Henry likes sex too.", "context2": "I don't have any complaints in that department.", "target_sentence": "But after all, let's face it, there are not more important things in life than sex.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'important', 'noun': 'things'}", "trigger_type": "comparatives", "annotator": "OA", "nli_labels": ["N", "E", "N", "E", "E"], "ratings": [29.94, 100.0, 83.1, 100.0, 100.0]}}
+{"uid": "1323", "premise": "Frank Henry likes sex too. I don't have any complaints in that department. But after all, let's face it, there are more important things in life than sex.", "hypothesis": "Sex is a thing.", "label": "E", "metadata": {"context1": "Frank Henry likes sex too.", "context2": "I don't have any complaints in that department.", "target_sentence": "But after all, let's face it, there are more important things in life than sex.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'important', 'noun': 'things'}", "trigger_type": "comparatives", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [100.0, 100.0, 100.0, 100.0, 60.12]}}
+{"uid": "1324-neg", "premise": " And the other thing about harmful products-actually, lithium ion is better in that regard. It's not a much cleaner battery technology than the old, say, nickel-cadmium batteries, if you remember those. FLATOW:", "hypothesis": "The old nickel cadmium batteries are a battery technology.", "label": "E", "metadata": {"context1": "", "context2": "And the other thing about harmful products-actually, lithium ion is better in that regard.", "target_sentence": "It's not a much cleaner battery technology than the old, say, nickel-cadmium batteries, if you remember those. FLATOW:", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'cleaner', 'noun': 'technology'}", "trigger_type": "comparatives", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1324", "premise": " And the other thing about harmful products-actually, lithium ion is better in that regard. It's a much cleaner battery technology than the old, say, nickel-cadmium batteries, if you remember those. FLATOW:", "hypothesis": "The old nickel cadmium batteries are a battery technology.", "label": "E", "metadata": {"context1": "", "context2": "And the other thing about harmful products-actually, lithium ion is better in that regard.", "target_sentence": "It's a much cleaner battery technology than the old, say, nickel-cadmium batteries, if you remember those. FLATOW:", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'cleaner', 'noun': 'technology'}", "trigger_type": "comparatives", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 86.27, 100.0]}}
+{"uid": "1326-neg", "premise": " 251 By the following century, in the \" pantheon of British liberty there was no right more changeless and tireless than the right to property.", "hypothesis": "The right to property is a right.", "label": "E", "metadata": {"context1": "", "context2": "251", "target_sentence": "By the following century, in the \" pantheon of British liberty there was no right more changeless and tireless than the right to property.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'adjective': 'right', 'noun': 'changeless'}", "trigger_type": "comparatives", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.96, 100.0, 100.0, 97.3, 99.95]}}
+{"uid": "1326", "premise": " 251 By the following century, in the \" pantheon of British liberty there was no right more changeless and tireless than the right to property.", "hypothesis": "The right to property is a right.", "label": "E", "metadata": {"context1": "", "context2": "251", "target_sentence": "By the following century, in the \" pantheon of British liberty there was no right more changeless and tireless than the right to property.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'adjective': 'right', 'noun': 'changeless'}", "trigger_type": "comparatives", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 98.54, 100.0, 100.0]}}
+{"uid": "1333-neg", "premise": "... They've got three pretty good corners in Champ Bailey, Darrent Williams and Domonique Foxworth. Williams is not a better cover guy than Foxworth, who's a pretty good nickel back right now....", "hypothesis": "Foxworth is a cover guy.", "label": "E", "metadata": {"context1": "...", "context2": "They've got three pretty good corners in Champ Bailey, Darrent Williams and Domonique Foxworth.", "target_sentence": "Williams is not a better cover guy than Foxworth, who's a pretty good nickel back right now....", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'better', 'noun': 'guy'}", "trigger_type": "comparatives", "annotator": "OA", "nli_labels": ["E", "N", "E", "E", "N"], "ratings": [100.0, 86.57, 95.4, 100.0, 85.35]}}
+{"uid": "1333", "premise": "... They've got three pretty good corners in Champ Bailey, Darrent Williams and Domonique Foxworth. Williams is a better cover guy than Foxworth, who's a pretty good nickel back right now....", "hypothesis": "Foxworth is a cover guy.", "label": "E", "metadata": {"context1": "...", "context2": "They've got three pretty good corners in Champ Bailey, Darrent Williams and Domonique Foxworth.", "target_sentence": "Williams is a better cover guy than Foxworth, who's a pretty good nickel back right now....", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'better', 'noun': 'guy'}", "trigger_type": "comparatives", "annotator": "OA", "nli_labels": ["C", "N", "E", "E", "E"], "ratings": [1.01, 14.65, 100.0, 85.76, 100.0]}}
+{"uid": "1334-neg", "premise": " The Chandela Rajputs who are responsible for the artful yet dizzyingly ornate temples have created a salacious smorgasbord of eye candy. The temples, dating back to 950, are not a more impressive and epic sight than the famous Taj Mahal, which sits a couple of hundred kilometers to the northwest in Agra.", "hypothesis": "The famous Taj Mahal is a sight.", "label": "E", "metadata": {"context1": "", "context2": "The Chandela Rajputs who are responsible for the artful yet dizzyingly ornate temples have created a salacious smorgasbord of eye candy.", "target_sentence": "The temples, dating back to 950, are not a more impressive and epic sight than the famous Taj Mahal, which sits a couple of hundred kilometers to the northwest in Agra.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'impressive', 'noun': 'sight'}", "trigger_type": "comparatives", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.83, 99.02, 99.59, 100.0]}}
+{"uid": "1334", "premise": " The Chandela Rajputs who are responsible for the artful yet dizzyingly ornate temples have created a salacious smorgasbord of eye candy. The temples, dating back to 950, are a more impressive and epic sight than the famous Taj Mahal, which sits a couple of hundred kilometers to the northwest in Agra.", "hypothesis": "The famous Taj Mahal is a sight.", "label": "E", "metadata": {"context1": "", "context2": "The Chandela Rajputs who are responsible for the artful yet dizzyingly ornate temples have created a salacious smorgasbord of eye candy.", "target_sentence": "The temples, dating back to 950, are a more impressive and epic sight than the famous Taj Mahal, which sits a couple of hundred kilometers to the northwest in Agra.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'impressive', 'noun': 'sight'}", "trigger_type": "comparatives", "annotator": "OA", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 100.0, 96.02, 100.0, 100.0]}}
+{"uid": "1336-neg", "premise": " Outlook Atlanta's starting pitching will be difference again, but St. Louis will be a much more formidable foe than L.A. Braves in six.", "hypothesis": "The L.A. Braves are a foe for Atlanta.", "label": "E", "metadata": {"context1": "", "context2": "Outlook", "target_sentence": "Atlanta's starting pitching will be difference again, but St. Louis will be a much more formidable foe than L.A. Braves in six.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'formidable', 'noun': 'foe'}", "trigger_type": "comparatives", "annotator": "OA", "nli_labels": ["N", "C", "E", "E", "E"], "ratings": [16.57, 0.0, 93.17, 90.42, 99.79]}}
+{"uid": "1336", "premise": " Outlook Atlanta's starting pitching will be difference again, but St. Louis will be a much more formidable foe than L.A. Braves in six.", "hypothesis": "The L.A. Braves are a foe for Atlanta.", "label": "E", "metadata": {"context1": "", "context2": "Outlook", "target_sentence": "Atlanta's starting pitching will be difference again, but St. Louis will be a much more formidable foe than L.A. Braves in six.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'formidable', 'noun': 'foe'}", "trigger_type": "comparatives", "annotator": "OA", "nli_labels": ["C", "E", "N", "E", "E"], "ratings": [0.0, 99.51, 76.73, 100.0, 100.0]}}
+{"uid": "1338", "premise": "And tonight, you'll understand why, as Lynn Sherr takes you on a rare visit into a private world--a place that often holds the key to a black man's success, even his very survival. It's been written that men are what their mothers made them. And perhaps, there's no greater testament to that than what you're about to see.", "hypothesis": "What you're about to see is a testament.", "label": "E", "metadata": {"context1": "And tonight, you'll understand why, as Lynn Sherr takes you on a rare visit into a private world--a place that often holds the key to a black man's success, even his very survival.", "context2": "It's been written that men are what their mothers made them.", "target_sentence": "And perhaps, there's no greater testament to that than what you're about to see.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'adjective': 'greater', 'noun': 'testament'}", "trigger_type": "comparatives", "annotator": "OA", "nli_labels": ["N", "N", "E", "E", "E"], "ratings": [92.95, 57.47, 99.37, 100.0, 95.71]}}
+{"uid": "1341-neg", "premise": " Judged as traitors by the Jewish community, they were killed in retribution. After the revolt, however, the decimated Jewish population didn't pose far less of a threat than the Romans.", "hypothesis": "The Romans posed a threat.", "label": "E", "metadata": {"context1": "", "context2": "Judged as traitors by the Jewish community, they were killed in retribution.", "target_sentence": "After the revolt, however, the decimated Jewish population didn't pose far less of a threat than the Romans.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'less', 'noun': 'threat'}", "trigger_type": "comparatives", "annotator": "OA", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [91.76, 74.31, 100.0, 100.0, 100.0]}}
+{"uid": "1341", "premise": " Judged as traitors by the Jewish community, they were killed in retribution. After the revolt, however, the decimated Jewish population posed far less of a threat than the Romans.", "hypothesis": "The Romans posed a threat.", "label": "E", "metadata": {"context1": "", "context2": "Judged as traitors by the Jewish community, they were killed in retribution.", "target_sentence": "After the revolt, however, the decimated Jewish population posed far less of a threat than the Romans.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'less', 'noun': 'threat'}", "trigger_type": "comparatives", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.51, 99.73, 100.0, 100.0, 100.0]}}
+{"uid": "1343-neg", "premise": " Helena is \" larger and more flavorful than Patterson, a major variety that's sold at the same time of year, says Fresno geneticist Craig A. Ledbetter. The skin and flesh of our new apricot are a much deeper orange than Patterson.", "hypothesis": "Patterson is orange.", "label": "E", "metadata": {"context1": "", "context2": "Helena is \" larger and more flavorful than Patterson, a major variety that's sold at the same time of year, says Fresno geneticist Craig A. Ledbetter.", "target_sentence": "The skin and flesh of our new apricot are a much deeper orange than Patterson.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'deeper', 'noun': 'orange'}", "trigger_type": "comparatives", "annotator": "OA", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [98.54, 97.5, 100.0, 82.99, 100.0]}}
+{"uid": "1343", "premise": " Helena is \" larger and more flavorful than Patterson, a major variety that's sold at the same time of year, says Fresno geneticist Craig A. Ledbetter. The skin and flesh of our new apricot are a much deeper orange than Patterson.", "hypothesis": "Patterson is orange.", "label": "E", "metadata": {"context1": "", "context2": "Helena is \" larger and more flavorful than Patterson, a major variety that's sold at the same time of year, says Fresno geneticist Craig A. Ledbetter.", "target_sentence": "The skin and flesh of our new apricot are a much deeper orange than Patterson.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'deeper', 'noun': 'orange'}", "trigger_type": "comparatives", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 94.12, 93.69, 80.48]}}
+{"uid": "135-neg", "premise": "  In the years to come, work didn't continue to be the most important aspect of her life.", "hypothesis": "Work was already the most important aspect of her life.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "In the years to come, work didn't continue to be the most important aspect of her life.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'continued'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["E", "C", "E", "C", "E"], "ratings": [100.0, 0.0, 100.0, 1.12, 100.0]}}
+{"uid": "135", "premise": "  In the years to come, work continued to be the most important aspect of her life.", "hypothesis": "Work was already the most important aspect of her life.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "In the years to come, work continued to be the most important aspect of her life.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'continued'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 99.34, 100.0]}}
+{"uid": "1350-neg", "premise": " Delight in dividend growers. In a world of low interest rates, buying stocks that grow their dividends each year are not better bets than those that simply sport a fat yield.", "hypothesis": "Stocks that simply sport a fat yield are bets.", "label": "E", "metadata": {"context1": "", "context2": "Delight in dividend growers.", "target_sentence": "In a world of low interest rates, buying stocks that grow their dividends each year are not better bets than those that simply sport a fat yield.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'better', 'noun': 'bets'}", "trigger_type": "comparatives", "annotator": "OA", "nli_labels": ["N", "E", "N", "E", "E"], "ratings": [78.82, 100.0, 10.02, 100.0, 99.62]}}
+{"uid": "1353-neg", "premise": "Compost Instead of trashing food scraps, toss them into Gardener's Supply Company Kitchen Compost Crock, a ceramic countertop composter that's perfect for firsttimers (gardeners.com). Break out the bamboo This plant is not a far more sustainable natural resource than wood because it grows very quickly.", "hypothesis": "Wood is a natural resource.", "label": "E", "metadata": {"context1": "Compost Instead of trashing food scraps, toss them into Gardener's Supply Company Kitchen Compost Crock, a ceramic countertop composter that's perfect for firsttimers (gardeners.com).", "context2": "Break out the bamboo", "target_sentence": "This plant is not a far more sustainable natural resource than wood because it grows very quickly.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'sustainable', 'noun': 'resource'}", "trigger_type": "comparatives", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1353", "premise": "Compost Instead of trashing food scraps, toss them into Gardener's Supply Company Kitchen Compost Crock, a ceramic countertop composter that's perfect for firsttimers (gardeners.com). Break out the bamboo This plant is a far more sustainable natural resource than wood because it grows very quickly.", "hypothesis": "Wood is a natural resource.", "label": "E", "metadata": {"context1": "Compost Instead of trashing food scraps, toss them into Gardener's Supply Company Kitchen Compost Crock, a ceramic countertop composter that's perfect for firsttimers (gardeners.com).", "context2": "Break out the bamboo", "target_sentence": "This plant is a far more sustainable natural resource than wood because it grows very quickly.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'sustainable', 'noun': 'resource'}", "trigger_type": "comparatives", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.85, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1363-neg", "premise": "We did not directly address community composition or seasonality, but composition is likely reflected in the ecosystem type. We aimed to minimize the impact of sample collection in part by only including studies that targeted the same size fraction. The PCA results suggest that ecosystem type is not a stronger predictor of the index profiles than sequence quality.", "hypothesis": "Sequence quality is a predictor of the index profiles.", "label": "E", "metadata": {"context1": "We did not directly address community composition or seasonality, but composition is likely reflected in the ecosystem type.", "context2": "We aimed to minimize the impact of sample collection in part by only including studies that targeted the same size fraction.", "target_sentence": "The PCA results suggest that ecosystem type is not a stronger predictor of the index profiles than sequence quality.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'stronger', 'noun': 'predictor'}", "trigger_type": "comparatives", "annotator": "OA", "nli_labels": ["C", "E", "N", "E", "E"], "ratings": [0.54, 100.0, 49.55, 100.0, 100.0]}}
+{"uid": "1363", "premise": "We did not directly address community composition or seasonality, but composition is likely reflected in the ecosystem type. We aimed to minimize the impact of sample collection in part by only including studies that targeted the same size fraction. The PCA results suggest that ecosystem type is a stronger predictor of the index profiles than sequence quality.", "hypothesis": "Sequence quality is a predictor of the index profiles.", "label": "N", "metadata": {"context1": "We did not directly address community composition or seasonality, but composition is likely reflected in the ecosystem type.", "context2": "We aimed to minimize the impact of sample collection in part by only including studies that targeted the same size fraction.", "target_sentence": "The PCA results suggest that ecosystem type is a stronger predictor of the index profiles than sequence quality.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'stronger', 'noun': 'predictor'}", "trigger_type": "comparatives", "annotator": "OA", "nli_labels": ["N", "N", "E", "N", "N"], "ratings": [55.98, 33.41, 100.0, 4.47, 15.92]}}
+{"uid": "1364-neg", "premise": "In a Cox's regression model, concentration of ADMA in plasma ranked as the second factor predicting all-cause mortality and cardiovascular outcome (table 4). Discussion Our findings show that ADMA is not a stronger independent predictor of all-cause mortality and cardiovascular outcome in patients with chronic renal failure than some traditional risk factors.", "hypothesis": "Some traditional risk factors are independent predictors of all-cause mortality and cardiovascular outcome in patients with chronic renal failure.", "label": "E", "metadata": {"context1": "In a Cox's regression model, concentration of ADMA in plasma ranked as the second factor predicting all-cause mortality and cardiovascular outcome (table 4).", "context2": "Discussion", "target_sentence": "Our findings show that ADMA is not a stronger independent predictor of all-cause mortality and cardiovascular outcome in patients with chronic renal failure than some traditional risk factors.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'stronger', 'noun': 'predictor'}", "trigger_type": "comparatives", "annotator": "OA", "nli_labels": ["E", "E", "N", "N", "E"], "ratings": [95.84, 100.0, 48.35, 44.76, 99.37]}}
+{"uid": "1364", "premise": "In a Cox's regression model, concentration of ADMA in plasma ranked as the second factor predicting all-cause mortality and cardiovascular outcome (table 4). Discussion Our findings show that ADMA is a stronger independent predictor of all-cause mortality and cardiovascular outcome in patients with chronic renal failure than some traditional risk factors.", "hypothesis": "Some traditional risk factors are independent predictors of all-cause mortality and cardiovascular outcome in patients with chronic renal failure.", "label": "N", "metadata": {"context1": "In a Cox's regression model, concentration of ADMA in plasma ranked as the second factor predicting all-cause mortality and cardiovascular outcome (table 4).", "context2": "Discussion", "target_sentence": "Our findings show that ADMA is a stronger independent predictor of all-cause mortality and cardiovascular outcome in patients with chronic renal failure than some traditional risk factors.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'stronger', 'noun': 'predictor'}", "trigger_type": "comparatives", "annotator": "OA", "nli_labels": ["N", "N", "N", "E", "N"], "ratings": [89.8, 80.48, 77.6, 86.37, 69.92]}}
+{"uid": "1365-neg", "premise": "This is actually remarkably similar to his predecessor, the prince of wales who became Edward VIII. His passion was steeple chasing, and it was actually his father, King George V, who ordered him to stop. Elizabeth II is not a much less directive parent than her predecessors.", "hypothesis": "Elizabeth II's predecessors were parents.", "label": "E", "metadata": {"context1": "This is actually remarkably similar to his predecessor, the prince of wales who became Edward VIII.", "context2": "His passion was steeple chasing, and it was actually his father, King George V, who ordered him to stop.", "target_sentence": "Elizabeth II is not a much less directive parent than her predecessors.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'less', 'noun': 'parent'}", "trigger_type": "comparatives", "annotator": "OA", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 73.66, 100.0, 100.0, 100.0]}}
+{"uid": "1365", "premise": "This is actually remarkably similar to his predecessor, the prince of wales who became Edward VIII. His passion was steeple chasing, and it was actually his father, King George V, who ordered him to stop. Elizabeth II is a much less directive parent than her predecessors.", "hypothesis": "Elizabeth II's predecessors were parents.", "label": "E", "metadata": {"context1": "This is actually remarkably similar to his predecessor, the prince of wales who became Edward VIII.", "context2": "His passion was steeple chasing, and it was actually his father, King George V, who ordered him to stop.", "target_sentence": "Elizabeth II is a much less directive parent than her predecessors.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'less', 'noun': 'parent'}", "trigger_type": "comparatives", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 99.46, 100.0]}}
+{"uid": "1367-neg", "premise": "Morris, you can go with Elmo.  Knee did not start crying.", "hypothesis": "Knee was not crying before.", "label": "E", "metadata": {"context1": "Morris, you can go with Elmo.", "context2": "", "target_sentence": "Knee did not start crying.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'started'}", "trigger_type": "aspectual_verbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [95.84, 100.0, 98.88, 100.0, 96.37]}}
+{"uid": "1367", "premise": "Morris, you can go with Elmo.  Knee started crying.", "hypothesis": "Knee was not crying before.", "label": "E", "metadata": {"context1": "Morris, you can go with Elmo.", "context2": "", "target_sentence": "Knee started crying.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'started'}", "trigger_type": "aspectual_verbs", "annotator": "OA", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [69.1, 100.0, 100.0, 99.79, 100.0]}}
+{"uid": "137-neg", "premise": "\"This isn't a normal 9-to-5 job.\" In the end, though, she said that taking on the responsibility had been worth it. The franchise, which opened in September, is on course for $500,000 in first-year revenue, Mr. Uzzi said. Meanwhile, many of Ms. Palmer's college friends have stopped looking for work.", "hypothesis": "Many of Ms. Palmer's college friends used to look for work.", "label": "E", "metadata": {"context1": "\"This isn't a normal 9-to-5 job.\" In the end, though, she said that taking on the responsibility had been worth it.", "context2": "The franchise, which opened in September, is on course for $500,000 in first-year revenue, Mr. Uzzi said.", "target_sentence": "Meanwhile, many of Ms. Palmer's college friends have stopped looking for work.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'stopped'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.25, 100.0, 99.79, 95.08, 100.0]}}
+{"uid": "137", "premise": "\"This isn't a normal 9-to-5 job.\" In the end, though, she said that taking on the responsibility had been worth it. The franchise, which opened in September, is on course for $500,000 in first-year revenue, Mr. Uzzi said. Meanwhile, many of Ms. Palmer's college friends have not stopped looking for work.", "hypothesis": "Many of Ms. Palmer's college friends used to look for work.", "label": "E", "metadata": {"context1": "\"This isn't a normal 9-to-5 job.\" In the end, though, she said that taking on the responsibility had been worth it.", "context2": "The franchise, which opened in September, is on course for $500,000 in first-year revenue, Mr. Uzzi said.", "target_sentence": "Meanwhile, many of Ms. Palmer's college friends have not stopped looking for work.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'stopped'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["N", "E", "N", "E", "E"], "ratings": [82.65, 98.92, 64.18, 100.0, 99.22]}}
+{"uid": "1371-neg", "premise": "  Reassured in this respect, I didn't begin to question him.", "hypothesis": "I was not questioning him before.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "Reassured in this respect, I didn't begin to question him.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.51, 100.0, 98.73, 100.0]}}
+{"uid": "1371", "premise": "  Reassured in this respect, I began to question him.", "hypothesis": "I was not questioning him before.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "Reassured in this respect, I began to question him.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "OA", "nli_labels": ["E", "N", "E", "N", "E"], "ratings": [97.04, 48.5, 100.0, 90.67, 100.0]}}
+{"uid": "1372-neg", "premise": "  As the distance narrowed, I didn't begin to recognize faces.", "hypothesis": "I didn't recognize the faces before the distance narrowed.", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "As the distance narrowed, I didn't begin to recognize faces.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "OA", "nli_labels": ["N", "N", "E", "E", "N"], "ratings": [51.2, 78.33, 100.0, 99.95, 2.96]}}
+{"uid": "1372", "premise": "  As the distance narrowed, I began to recognize faces.", "hypothesis": "I didn't recognize the faces before the distance narrowed.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "As the distance narrowed, I began to recognize faces.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "OA", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [99.71, 84.82, 100.0, 100.0, 100.0]}}
+{"uid": "1373", "premise": "  Now the roundness of the forms began to emerge.", "hypothesis": "The roundess of the forms had not emerged before now.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "Now the roundness of the forms began to emerge.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "OA", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [97.88, 94.54, 100.0, 100.0, 99.71]}}
+{"uid": "1374-neg", "premise": "And that wasn't right, either JAFFE So, Lupe Loeda got together with other mothers in East L.A. and started a police monitoring project. They didn't stop running out of their apartments to scream at the officers whenever they saw them arresting someone.", "hypothesis": "They had been running out of their apartments to scream at the officers whenever they saw them arresting someone.", "label": "E", "metadata": {"context1": "And that wasn't right, either JAFFE", "context2": "So, Lupe Loeda got together with other mothers in East L.A. and started a police monitoring project.", "target_sentence": "They didn't stop running out of their apartments to scream at the officers whenever they saw them arresting someone.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'stopped'}", "trigger_type": "aspectual_verbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1374", "premise": "And that wasn't right, either JAFFE So, Lupe Loeda got together with other mothers in East L.A. and started a police monitoring project. They stopped running out of their apartments to scream at the officers whenever they saw them arresting someone.", "hypothesis": "They had been running out of their apartments to scream at the officers whenever they saw them arresting someone.", "label": "E", "metadata": {"context1": "And that wasn't right, either JAFFE", "context2": "So, Lupe Loeda got together with other mothers in East L.A. and started a police monitoring project.", "target_sentence": "They stopped running out of their apartments to scream at the officers whenever they saw them arresting someone.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'stopped'}", "trigger_type": "aspectual_verbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 98.07, 100.0, 100.0]}}
+{"uid": "1376-neg", "premise": "Metaphysical evil nullifies all attempts to establish constraints through law and social compact. The twentieth century has conferred astonishingly widespread respect for metaphysical evil by honoring the thought of Nietzsche. Though such definitions and distinctions may supply us with ideas and nuances to argue about, I do not continue to find greater revelation about evil in narratives.", "hypothesis": "I had been finding greater revelation about evil in narratives.", "label": "C", "metadata": {"context1": "Metaphysical evil nullifies all attempts to establish constraints through law and social compact.", "context2": "The twentieth century has conferred astonishingly widespread respect for metaphysical evil by honoring the thought of Nietzsche.", "target_sentence": "Though such definitions and distinctions may supply us with ideas and nuances to argue about, I do not continue to find greater revelation about evil in narratives.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'continue'}", "trigger_type": "aspectual_verbs", "annotator": "OA", "nli_labels": ["C", "C", "C", "C", "C"], "ratings": [0.0, 0.0, 1.98, 0.1, 0.0]}}
+{"uid": "1376", "premise": "Metaphysical evil nullifies all attempts to establish constraints through law and social compact. The twentieth century has conferred astonishingly widespread respect for metaphysical evil by honoring the thought of Nietzsche. Though such definitions and distinctions may supply us with ideas and nuances to argue about, I continue to find greater revelation about evil in narratives.", "hypothesis": "I had been finding greater revelation about evil in narratives.", "label": "E", "metadata": {"context1": "Metaphysical evil nullifies all attempts to establish constraints through law and social compact.", "context2": "The twentieth century has conferred astonishingly widespread respect for metaphysical evil by honoring the thought of Nietzsche.", "target_sentence": "Though such definitions and distinctions may supply us with ideas and nuances to argue about, I continue to find greater revelation about evil in narratives.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'continue'}", "trigger_type": "aspectual_verbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1377-neg", "premise": "Along the way she has also managed to find love: Last November she became engaged to rock guitarist Rob Bonfiglio, 32, whom she will we d in June. \"My life has done a 360-degree turn,\" she told staff correspondent Ulrica Wihlborg, with whom she shared the story of her lifelong battle against obesity I didn't start to gain weight when I was around 4.", "hypothesis": "I wasn't gaining weight before I was 4.", "label": "N", "metadata": {"context1": "Along the way she has also managed to find love: Last November she became engaged to rock guitarist Rob Bonfiglio, 32, whom she will we d in June.", "context2": "\"My life has done a 360-degree turn,\" she told staff correspondent Ulrica Wihlborg, with whom she shared the story of her lifelong battle against obesity", "target_sentence": "I didn't start to gain weight when I was around 4.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'started'}", "trigger_type": "aspectual_verbs", "annotator": "OA", "nli_labels": ["N", "N", "C", "E", "N"], "ratings": [74.44, 32.7, 0.0, 90.15, 75.98]}}
+{"uid": "1377", "premise": "Along the way she has also managed to find love: Last November she became engaged to rock guitarist Rob Bonfiglio, 32, whom she will we d in June. \"My life has done a 360-degree turn,\" she told staff correspondent Ulrica Wihlborg, with whom she shared the story of her lifelong battle against obesity I started to gain weight when I was around 4.", "hypothesis": "I wasn't gaining weight before I was 4.", "label": "E", "metadata": {"context1": "Along the way she has also managed to find love: Last November she became engaged to rock guitarist Rob Bonfiglio, 32, whom she will we d in June.", "context2": "\"My life has done a 360-degree turn,\" she told staff correspondent Ulrica Wihlborg, with whom she shared the story of her lifelong battle against obesity", "target_sentence": "I started to gain weight when I was around 4.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'started'}", "trigger_type": "aspectual_verbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "C", "E"], "ratings": [99.25, 98.92, 100.0, 0.0, 95.59]}}
+{"uid": "1379-neg", "premise": "15  In this scene we do not begin to see that Yellow Calf and Shelley are worried and distrustful", "hypothesis": "We did not previously see that Yellow Calf and Shelley are worried and distrustful", "label": "E", "metadata": {"context1": "15", "context2": "", "target_sentence": "In this scene we do not begin to see that Yellow Calf and Shelley are worried and distrustful", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'begin'}", "trigger_type": "aspectual_verbs", "annotator": "OA", "nli_labels": ["N", "E", "N", "E", "E"], "ratings": [78.46, 100.0, 67.58, 99.69, 99.43]}}
+{"uid": "1379", "premise": "15  In this scene we begin to see that Yellow Calf and Shelley are worried and distrustful", "hypothesis": "We did not previously see that Yellow Calf and Shelley are worried and distrustful", "label": "N", "metadata": {"context1": "15", "context2": "", "target_sentence": "In this scene we begin to see that Yellow Calf and Shelley are worried and distrustful", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'begin'}", "trigger_type": "aspectual_verbs", "annotator": "OA", "nli_labels": ["N", "N", "E", "E", "N"], "ratings": [95.01, 91.52, 100.0, 100.0, 86.57]}}
+{"uid": "138", "premise": "  Scientists are only beginning to understand the molecular changes involved in nuclear reprogramming, yet this line of basic research may result in some of the most beneficial applications of cloning to humans.", "hypothesis": "Scientists hadn't previously understood the molecular changes involved in nuclear reprogramming.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "Scientists are only beginning to understand the molecular changes involved in nuclear reprogramming, yet this line of basic research may result in some of the most beneficial applications of cloning to humans.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'beginning'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [99.54, 66.03, 99.97, 100.0, 96.37]}}
+{"uid": "1380-neg", "premise": "Then one day he stopped returning her calls. Frustrated at being unable to reach him, she stopped by his apartment to find him there with another woman. Vicki did not begin grappling with the familiar feelings of disappointment from yet another failed relationship.", "hypothesis": "Vicki was not already grappling with feelings of disappointment from yet another failed relationship.", "label": "N", "metadata": {"context1": "Then one day he stopped returning her calls.", "context2": "Frustrated at being unable to reach him, she stopped by his apartment to find him there with another woman.", "target_sentence": "Vicki did not begin grappling with the familiar feelings of disappointment from yet another failed relationship.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "OA", "nli_labels": ["N", "N", "E", "N", "N"], "ratings": [7.68, 5.32, 98.95, 26.34, 5.53]}}
+{"uid": "1380", "premise": "Then one day he stopped returning her calls. Frustrated at being unable to reach him, she stopped by his apartment to find him there with another woman. Vicki began grappling with the familiar feelings of disappointment from yet another failed relationship.", "hypothesis": "Vicki was not already grappling with feelings of disappointment from yet another failed relationship.", "label": "N", "metadata": {"context1": "Then one day he stopped returning her calls.", "context2": "Frustrated at being unable to reach him, she stopped by his apartment to find him there with another woman.", "target_sentence": "Vicki began grappling with the familiar feelings of disappointment from yet another failed relationship.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "OA", "nli_labels": ["N", "N", "N", "E", "N"], "ratings": [75.98, 68.69, 39.44, 100.0, 75.34]}}
+{"uid": "1381-neg", "premise": " Martha had been reluctant to come, but Hester had asked us and it was not the sort of request one refused. Hester's legs did not continue to jerk, and for a moment I feared that she might still be alive.", "hypothesis": "Hester's legs were jerking before.", "label": "E", "metadata": {"context1": "", "context2": "Martha had been reluctant to come, but Hester had asked us and it was not the sort of request one refused.", "target_sentence": "Hester's legs did not continue to jerk, and for a moment I feared that she might still be alive.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'continued'}", "trigger_type": "aspectual_verbs", "annotator": "OA", "nli_labels": ["E", "N", "N", "E", "E"], "ratings": [100.0, 89.35, 79.18, 100.0, 99.69]}}
+{"uid": "1381", "premise": " Martha had been reluctant to come, but Hester had asked us and it was not the sort of request one refused. Hester's legs continued to jerk, and for a moment I feared that she might still be alive.", "hypothesis": "Hester's legs were jerking before.", "label": "E", "metadata": {"context1": "", "context2": "Martha had been reluctant to come, but Hester had asked us and it was not the sort of request one refused.", "target_sentence": "Hester's legs continued to jerk, and for a moment I feared that she might still be alive.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'continued'}", "trigger_type": "aspectual_verbs", "annotator": "OA", "nli_labels": ["E", "E", "N", "E", "N"], "ratings": [97.65, 99.34, 90.42, 100.0, 62.02]}}
+{"uid": "1384-neg", "premise": "We didn't pass sovereignty but about 10 months ago. And since that time a lot of progress has been made. And we will not continue to make progress for the good of the region and for the good of our country", "hypothesis": "We were making progress before now.", "label": "N", "metadata": {"context1": "We didn't pass sovereignty but about 10 months ago.", "context2": "And since that time a lot of progress has been made.", "target_sentence": "And we will not continue to make progress for the good of the region and for the good of our country", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'continue'}", "trigger_type": "aspectual_verbs", "annotator": "OA", "nli_labels": ["N", "N", "N", "N", "E"], "ratings": [85.76, 15.71, 72.48, 18.02, 99.22]}}
+{"uid": "1386-neg", "premise": "Newsweek and U.S. News & amp; World Report, once rightly regarded as the Ford and Chrysler of news magazines, have virtually disappeared. America will not meet a similar fate. Like most magazines, we will not stop publishing an edition in print someday.", "hypothesis": "We have been publishing an edition in print.", "label": "E", "metadata": {"context1": "Newsweek and U.S. News & amp; World Report, once rightly regarded as the Ford and Chrysler of news magazines, have virtually disappeared.", "context2": "America will not meet a similar fate.", "target_sentence": "Like most magazines, we will not stop publishing an edition in print someday.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'stop'}", "trigger_type": "aspectual_verbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.9, 100.0, 100.0, 99.12, 100.0]}}
+{"uid": "1386", "premise": "Newsweek and U.S. News & amp; World Report, once rightly regarded as the Ford and Chrysler of news magazines, have virtually disappeared. America will not meet a similar fate. Like most magazines, we will stop publishing an edition in print someday.", "hypothesis": "We have been publishing an edition in print.", "label": "E", "metadata": {"context1": "Newsweek and U.S. News & amp; World Report, once rightly regarded as the Ford and Chrysler of news magazines, have virtually disappeared.", "context2": "America will not meet a similar fate.", "target_sentence": "Like most magazines, we will stop publishing an edition in print someday.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'stop'}", "trigger_type": "aspectual_verbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 98.69, 100.0, 100.0]}}
+{"uid": "1387-neg", "premise": "Yeah, and I think that's no accident, Neal. You know, the concern that so many Americans feel about what they see as overreaching by the government in the financial sector I think has kind of poisoned the well as the president tries to get something down in the health care sector. So part of what he's doing is trying to say look, we are not beginning to unwind some of the commitments that we've made in the financial crisis.", "hypothesis": "We have not previously unwound any of the commitments we've made in the financial crisis.", "label": "E", "metadata": {"context1": "Yeah, and I think that's no accident, Neal.", "context2": "You know, the concern that so many Americans feel about what they see as overreaching by the government in the financial sector I think has kind of poisoned the well as the president tries to get something down in the health care sector.", "target_sentence": "So part of what he's doing is trying to say look, we are not beginning to unwind some of the commitments that we've made in the financial crisis.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'beginning'}", "trigger_type": "aspectual_verbs", "annotator": "OA", "nli_labels": ["C", "E", "E", "E", "E"], "ratings": [0.0, 93.55, 99.22, 95.01, 100.0]}}
+{"uid": "1387", "premise": "Yeah, and I think that's no accident, Neal. You know, the concern that so many Americans feel about what they see as overreaching by the government in the financial sector I think has kind of poisoned the well as the president tries to get something down in the health care sector. So part of what he's doing is trying to say look, we're beginning to unwind some of the commitments that we've made in the financial crisis.", "hypothesis": "We have not previously unwound any of the commitments we've made in the financial crisis.", "label": "N", "metadata": {"context1": "Yeah, and I think that's no accident, Neal.", "context2": "You know, the concern that so many Americans feel about what they see as overreaching by the government in the financial sector I think has kind of poisoned the well as the president tries to get something down in the health care sector.", "target_sentence": "So part of what he's doing is trying to say look, we're beginning to unwind some of the commitments that we've made in the financial crisis.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'beginning'}", "trigger_type": "aspectual_verbs", "annotator": "OA", "nli_labels": ["N", "N", "N", "N", "E"], "ratings": [60.12, 80.13, 61.73, 71.81, 99.88]}}
+{"uid": "1388-neg", "premise": "WINFREY OK. You didn't all start training three weeks ahead of time.", "hypothesis": "You were not all training more than three weeks ahead of time.", "label": "E", "metadata": {"context1": "WINFREY", "context2": "OK.", "target_sentence": "You didn't all start training three weeks ahead of time.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'started'}", "trigger_type": "aspectual_verbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [99.87, 100.0, 100.0, 37.98, 100.0]}}
+{"uid": "1388", "premise": "WINFREY OK. You all started training three weeks ahead of time.", "hypothesis": "You were not all training more than three weeks ahead of time.", "label": "C", "metadata": {"context1": "WINFREY", "context2": "OK.", "target_sentence": "You all started training three weeks ahead of time.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'started'}", "trigger_type": "aspectual_verbs", "annotator": "OA", "nli_labels": ["C", "N", "C", "E", "C"], "ratings": [0.88, 60.71, 0.0, 100.0, 0.0]}}
+{"uid": "1389-neg", "premise": "So, she's just--she's just been a wall all our lives. That's why it's going to be really hard WERTHEIMER Helen's blood counts didn't continue to be good, and then a mysterious pain appeared in her back almost overnight, immobilizing her.", "hypothesis": "Helen's blood counts were good previously.", "label": "E", "metadata": {"context1": "So, she's just--she's just been a wall all our lives.", "context2": "That's why it's going to be really hard WERTHEIMER", "target_sentence": "Helen's blood counts didn't continue to be good, and then a mysterious pain appeared in her back almost overnight, immobilizing her.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'continued'}", "trigger_type": "aspectual_verbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "N", "N"], "ratings": [100.0, 100.0, 99.16, 80.13, 84.4]}}
+{"uid": "1389", "premise": "So, she's just--she's just been a wall all our lives. That's why it's going to be really hard WERTHEIMER Helen's blood counts continued to be good, and then a mysterious pain appeared in her back almost overnight, immobilizing her.", "hypothesis": "Helen's blood counts were good previously.", "label": "E", "metadata": {"context1": "So, she's just--she's just been a wall all our lives.", "context2": "That's why it's going to be really hard WERTHEIMER", "target_sentence": "Helen's blood counts continued to be good, and then a mysterious pain appeared in her back almost overnight, immobilizing her.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'continued'}", "trigger_type": "aspectual_verbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [97.79, 100.0, 100.0, 100.0, 99.62]}}
+{"uid": "139-neg", "premise": "  Vargson didn't stop drinking the water after she discovered the methane-but tests showed that her water also contained elevated levels of toxic chemicals like radium, manganese and strontium.", "hypothesis": "Vargson used to drink the water before she discovered the methane.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "Vargson didn't stop drinking the water after she discovered the methane-but tests showed that her water also contained elevated levels of toxic chemicals like radium, manganese and strontium.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'stopped'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [93.47, 99.85, 100.0, 100.0, 100.0]}}
+{"uid": "139", "premise": "  Vargson stopped drinking the water after she discovered the methane-but tests showed that her water also contained elevated levels of toxic chemicals like radium, manganese and strontium.", "hypothesis": "Vargson used to drink the water before she discovered the methane.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "Vargson stopped drinking the water after she discovered the methane-but tests showed that her water also contained elevated levels of toxic chemicals like radium, manganese and strontium.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'stopped'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 94.61, 99.94, 100.0]}}
+{"uid": "1390-neg", "premise": " At this point I have something I can deal with. I don't begin to enjoy it. \"", "hypothesis": "I wasn't previously enjoying it.", "label": "E", "metadata": {"context1": "", "context2": "At this point I have something I can deal with.", "target_sentence": "I don't begin to enjoy it. \"", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'begin'}", "trigger_type": "aspectual_verbs", "annotator": "OA", "nli_labels": ["N", "N", "E", "E", "E"], "ratings": [85.45, 73.27, 100.0, 99.69, 100.0]}}
+{"uid": "1390", "premise": " At this point I have something I can deal with. I begin to enjoy it. \"", "hypothesis": "I wasn't previously enjoying it.", "label": "E", "metadata": {"context1": "", "context2": "At this point I have something I can deal with.", "target_sentence": "I begin to enjoy it. \"", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'begin'}", "trigger_type": "aspectual_verbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 99.77, 99.28, 50.0, 100.0]}}
+{"uid": "1392-neg", "premise": " Mikey steals a tense glance at Charlene. She does not start to fidget nervously.", "hypothesis": "She was not fidgeting nervously before.", "label": "E", "metadata": {"context1": "", "context2": "Mikey steals a tense glance at Charlene.", "target_sentence": "She does not start to fidget nervously.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'starts'}", "trigger_type": "aspectual_verbs", "annotator": "OA", "nli_labels": ["N", "E", "E", "N", "E"], "ratings": [87.17, 99.59, 100.0, 58.06, 94.74]}}
+{"uid": "1392", "premise": " Mikey steals a tense glance at Charlene. She starts to fidget nervously.", "hypothesis": "She was not fidgeting nervously before.", "label": "E", "metadata": {"context1": "", "context2": "Mikey steals a tense glance at Charlene.", "target_sentence": "She starts to fidget nervously.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'starts'}", "trigger_type": "aspectual_verbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [98.95, 99.94, 100.0, 50.0, 89.62]}}
+{"uid": "1394-neg", "premise": "He says his first two acts were to clean house, figuratively (asking for staff resignations) and literally (stripping the Bronx County Courthouse, where the borough president's office is, of its graffiti). He says now that he liked being in charge because he saw the potential to help improve the Bronx, but he also clearly enjoyed the status that came with being an executive. Although he is best known as Freddy to the outside world, his staff did not begin addressing him as Mr. President, a label that some aides use to this day.", "hypothesis": "His staff was not previously addressing Freddy as Mr. President.", "label": "E", "metadata": {"context1": "He says his first two acts were to clean house, figuratively (asking for staff resignations) and literally (stripping the Bronx County Courthouse, where the borough president's office is, of its graffiti).", "context2": "He says now that he liked being in charge because he saw the potential to help improve the Bronx, but he also clearly enjoyed the status that came with being an executive.", "target_sentence": "Although he is best known as Freddy to the outside world, his staff did not begin addressing him as Mr. President, a label that some aides use to this day.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.49, 100.0, 100.0, 100.0]}}
+{"uid": "1394", "premise": "He says his first two acts were to clean house, figuratively (asking for staff resignations) and literally (stripping the Bronx County Courthouse, where the borough president's office is, of its graffiti). He says now that he liked being in charge because he saw the potential to help improve the Bronx, but he also clearly enjoyed the status that came with being an executive. Although he is best known as Freddy to the outside world, his staff began addressing him as Mr. President, a label that some aides use to this day.", "hypothesis": "His staff was not previously addressing Freddy as Mr. President.", "label": "E", "metadata": {"context1": "He says his first two acts were to clean house, figuratively (asking for staff resignations) and literally (stripping the Bronx County Courthouse, where the borough president's office is, of its graffiti).", "context2": "He says now that he liked being in charge because he saw the potential to help improve the Bronx, but he also clearly enjoyed the status that came with being an executive.", "target_sentence": "Although he is best known as Freddy to the outside world, his staff began addressing him as Mr. President, a label that some aides use to this day.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "OA", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [88.52, 98.81, 100.0, 100.0, 100.0]}}
+{"uid": "1395-neg", "premise": "The good news is that total defense spending could be reduced by five percent or even ten percent without materially weakening the United States' security if (and admittedly it is a big if ) the cuts are done intelligently and are applied to current operations as well as the procurement of weapons. The United States does not continue to develop and procure expensive advanced conventional combat arms beyond what is justified by its commitments, likely scenarios, and the gap in defense capabilities between it and potential adversaries.", "hypothesis": "Previously, the United States has been developing and procuring expensive advanced conventional combat arms beyond what is justified by its commitments.", "label": "E", "metadata": {"context1": "The good news is that total defense spending could be reduced by five percent or even ten percent without materially weakening the United States' security if (and admittedly it is a big if )", "context2": "the cuts are done intelligently and are applied to current operations as well as the procurement of weapons.", "target_sentence": "The United States does not continue to develop and procure expensive advanced conventional combat arms beyond what is justified by its commitments, likely scenarios, and the gap in defense capabilities between it and potential adversaries.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'continues'}", "trigger_type": "aspectual_verbs", "annotator": "OA", "nli_labels": ["N", "E", "E", "E", "N"], "ratings": [26.73, 100.0, 100.0, 100.0, 79.18]}}
+{"uid": "1395", "premise": "The good news is that total defense spending could be reduced by five percent or even ten percent without materially weakening the United States' security if (and admittedly it is a big if ) the cuts are done intelligently and are applied to current operations as well as the procurement of weapons. The United States continues to develop and procure expensive advanced conventional combat arms beyond what is justified by its commitments, likely scenarios, and the gap in defense capabilities between it and potential adversaries.", "hypothesis": "Previously, the United States has been developing and procuring expensive advanced conventional combat arms beyond what is justified by its commitments.", "label": "E", "metadata": {"context1": "The good news is that total defense spending could be reduced by five percent or even ten percent without materially weakening the United States' security if (and admittedly it is a big if )", "context2": "the cuts are done intelligently and are applied to current operations as well as the procurement of weapons.", "target_sentence": "The United States continues to develop and procure expensive advanced conventional combat arms beyond what is justified by its commitments, likely scenarios, and the gap in defense capabilities between it and potential adversaries.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'continues'}", "trigger_type": "aspectual_verbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [100.0, 99.09, 99.62, 100.0, 82.09]}}
+{"uid": "1396-neg", "premise": "The shortage of greenery for wildlife has caused our worst gardening problems ever, \" says Carole Ramke, who has been gardening organically in Kilgore, Texas, for more than 20 years. She had to build chicken-wire cages around her sweet potatoes--inside the garden fence--to protect them from deer. The deer did not start eating things they'd never eaten before, such as okra, watermelon vines, green persimmons and whole limbs of fig trees.", "hypothesis": "The deer were not previously eating things like okra, watermelon vines, green persimmons and whole limbs of fig trees.", "label": "E", "metadata": {"context1": "The shortage of greenery for wildlife has caused our worst gardening problems ever, \" says Carole Ramke, who has been gardening organically in Kilgore, Texas, for more than 20 years.", "context2": "She had to build chicken-wire cages around her sweet potatoes--inside the garden fence--to protect them from deer.", "target_sentence": "The deer did not start eating things they'd never eaten before, such as okra, watermelon vines, green persimmons and whole limbs of fig trees.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'started'}", "trigger_type": "aspectual_verbs", "annotator": "OA", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 98.45, 4.35, 98.54, 99.31]}}
+{"uid": "1396", "premise": "The shortage of greenery for wildlife has caused our worst gardening problems ever, \" says Carole Ramke, who has been gardening organically in Kilgore, Texas, for more than 20 years. She had to build chicken-wire cages around her sweet potatoes--inside the garden fence--to protect them from deer. The deer started eating things they'd never eaten before, such as okra, watermelon vines, green persimmons and whole limbs of fig trees.", "hypothesis": "The deer were not previously eating things like okra, watermelon vines, green persimmons and whole limbs of fig trees.", "label": "E", "metadata": {"context1": "The shortage of greenery for wildlife has caused our worst gardening problems ever, \" says Carole Ramke, who has been gardening organically in Kilgore, Texas, for more than 20 years.", "context2": "She had to build chicken-wire cages around her sweet potatoes--inside the garden fence--to protect them from deer.", "target_sentence": "The deer started eating things they'd never eaten before, such as okra, watermelon vines, green persimmons and whole limbs of fig trees.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'started'}", "trigger_type": "aspectual_verbs", "annotator": "OA", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 97.45, 100.0, 100.0, 100.0]}}
+{"uid": "1397-neg", "premise": " California has the second highest rate of overweight children in the country. In response, the state's schools in July did not begin adhering to new laws that limit fat, sugar and portion sizes of food sold on campus.", "hypothesis": "The state's schools in July were not previously adhering to new laws that limit fat, sugar and portion sizes of food sold on campus.", "label": "E", "metadata": {"context1": "", "context2": "California has the second highest rate of overweight children in the country.", "target_sentence": "In response, the state's schools in July did not begin adhering to new laws that limit fat, sugar and portion sizes of food sold on campus.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "OA", "nli_labels": ["E", "N", "N", "E", "E"], "ratings": [99.02, 20.82, 80.25, 100.0, 100.0]}}
+{"uid": "1397", "premise": " California has the second highest rate of overweight children in the country. In response, the state's schools in July began adhering to new laws that limit fat, sugar and portion sizes of food sold on campus.", "hypothesis": "The state's schools in July were not previously adhering to new laws that limit fat, sugar and portion sizes of food sold on campus.", "label": "N", "metadata": {"context1": "", "context2": "California has the second highest rate of overweight children in the country.", "target_sentence": "In response, the state's schools in July began adhering to new laws that limit fat, sugar and portion sizes of food sold on campus.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "OA", "nli_labels": ["N", "N", "E", "N", "N"], "ratings": [81.64, 57.76, 95.4, 58.65, 88.7]}}
+{"uid": "1399-neg", "premise": "At first our idea of bed building involved simply adding humus material and Buffing the beds into shape. Then it became obvious that if we took the useful dirt from the pathways and piled it onto the beds, we could raise the beds by lowering the pathways and make use of every bit of our valuable soil. That fall we did not begin to experiment with crude seasonal extenders made by surrounding part of a bed with hay bales and stretching polyethylene sheeting across the top of the bales.", "hypothesis": "Before Fall, we were not experimenting with crude seasonal extenders made by surrounding part of a bed with hay bales and stretching polyethylene sheeting across the top of the bales.", "label": "E", "metadata": {"context1": "At first our idea of bed building involved simply adding humus material and Buffing the beds into shape.", "context2": "Then it became obvious that if we took the useful dirt from the pathways and piled it onto the beds, we could raise the beds by lowering the pathways and make use of every bit of our valuable soil.", "target_sentence": "That fall we did not begin to experiment with crude seasonal extenders made by surrounding part of a bed with hay bales and stretching polyethylene sheeting across the top of the bales.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [100.0, 100.0, 100.0, 97.79, 17.57]}}
+{"uid": "1399", "premise": "At first our idea of bed building involved simply adding humus material and Buffing the beds into shape. Then it became obvious that if we took the useful dirt from the pathways and piled it onto the beds, we could raise the beds by lowering the pathways and make use of every bit of our valuable soil. That fall we began to experiment with crude seasonal extenders made by surrounding part of a bed with hay bales and stretching polyethylene sheeting across the top of the bales.", "hypothesis": "Before Fall, we were not experimenting with crude seasonal extenders made by surrounding part of a bed with hay bales and stretching polyethylene sheeting across the top of the bales.", "label": "E", "metadata": {"context1": "At first our idea of bed building involved simply adding humus material and Buffing the beds into shape.", "context2": "Then it became obvious that if we took the useful dirt from the pathways and piled it onto the beds, we could raise the beds by lowering the pathways and make use of every bit of our valuable soil.", "target_sentence": "That fall we began to experiment with crude seasonal extenders made by surrounding part of a bed with hay bales and stretching polyethylene sheeting across the top of the bales.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "OA", "nli_labels": ["N", "E", "E", "N", "E"], "ratings": [87.17, 100.0, 100.0, 85.35, 99.88]}}
+{"uid": "140-neg", "premise": "Now the results of tonight's poll; 19 percent of you said the United States should legalize the millions of illegal aliens already living in this country; 81 percent said we should not. Now \"America Works\" -- tonight, a garbage collector who is on the job hours before most of us aren't even beginning to think about waking up.", "hypothesis": "We hadn't been thinking about waking up prior to the garbage collector starting work.", "label": "E", "metadata": {"context1": "Now the results of tonight's poll; 19 percent of you said the United States should legalize the millions of illegal aliens already living in this country; 81 percent said we should not.", "context2": "Now \"America Works\" --", "target_sentence": "tonight, a garbage collector who is on the job hours before most of us aren't even beginning to think about waking up.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'beginning'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["E", "E", "N", "C", "E"], "ratings": [100.0, 100.0, 81.86, 0.0, 100.0]}}
+{"uid": "140", "premise": "Now the results of tonight's poll; 19 percent of you said the United States should legalize the millions of illegal aliens already living in this country; 81 percent said we should not. Now \"America Works\" -- tonight, a garbage collector who is on the job hours before most of us are even beginning to think about waking up.", "hypothesis": "We hadn't been thinking about waking up prior to the garbage collector starting work.", "label": "N", "metadata": {"context1": "Now the results of tonight's poll; 19 percent of you said the United States should legalize the millions of illegal aliens already living in this country; 81 percent said we should not.", "context2": "Now \"America Works\" --", "target_sentence": "tonight, a garbage collector who is on the job hours before most of us are even beginning to think about waking up.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'beginning'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["N", "N", "N", "E", "C"], "ratings": [93.4, 40.47, 37.11, 100.0, 1.19]}}
+{"uid": "1400-neg", "premise": "DR. SEUSS This cat wears a hat- and cares what you think about that!", "hypothesis": "You think something about the cat wearing a hat.", "label": "E", "metadata": {"context1": "DR.", "context2": "SEUSS", "target_sentence": "This cat wears a hat- and cares what you think about that!", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'care', 'embedded_question': 'what you think about that'}", "trigger_type": "embedded_question", "annotator": "OA", "nli_labels": ["N", "N", "E", "E", "E"], "ratings": [85.66, 75.21, 97.04, 94.88, 100.0]}}
+{"uid": "1400", "premise": "DR. SEUSS This cat wears a hat- and doesn't care what you think about that!", "hypothesis": "You think something about the cat wearing a hat.", "label": "E", "metadata": {"context1": "DR.", "context2": "SEUSS", "target_sentence": "This cat wears a hat- and doesn't care what you think about that!", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'care', 'embedded_question': 'what you think about that'}", "trigger_type": "embedded_question", "annotator": "OA", "nli_labels": ["E", "E", "N", "E", "N"], "ratings": [100.0, 99.06, 84.93, 100.0, 80.72]}}
+{"uid": "1405-neg", "premise": "if a relentless dressing down that lasted through an entire meal can be termed a mere \" spat. \" I had been ranting on about something or other, when she interrupted and said I was in danger of becoming a cantankerous old woman. Then she really lit into me, not asking what I was so bitter and negative about.", "hypothesis": "I was bitter and negative about something.", "label": "E", "metadata": {"context1": "if a relentless dressing down that lasted through an entire meal can be termed a mere \" spat.", "context2": "\" I had been ranting on about something or other, when she interrupted and said I was in danger of becoming a cantankerous old woman.", "target_sentence": "Then she really lit into me, not asking what I was so bitter and negative about.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'asking', 'embedded_question': 'what I was so bitter and negative about'}", "trigger_type": "embedded_question", "annotator": "OA", "nli_labels": ["N", "E", "E", "N", "E"], "ratings": [83.97, 98.5, 100.0, 81.64, 99.12]}}
+{"uid": "1405", "premise": "if a relentless dressing down that lasted through an entire meal can be termed a mere \" spat. \" I had been ranting on about something or other, when she interrupted and said I was in danger of becoming a cantankerous old woman. Then she really lit into me, asking what I was so bitter and negative about.", "hypothesis": "I was bitter and negative about something.", "label": "E", "metadata": {"context1": "if a relentless dressing down that lasted through an entire meal can be termed a mere \" spat.", "context2": "\" I had been ranting on about something or other, when she interrupted and said I was in danger of becoming a cantankerous old woman.", "target_sentence": "Then she really lit into me, asking what I was so bitter and negative about.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'asking', 'embedded_question': 'what I was so bitter and negative about'}", "trigger_type": "embedded_question", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 95.21, 100.0, 100.0, 84.82]}}
+{"uid": "1406-neg", "premise": "Live pictures from Greenwich, England. And no, that's not a smudge in the lower right corner of the sun, that's Venus. We will not explain why astronomers are all atwitter over this.", "hypothesis": "Astronomers are all atwitter over this.", "label": "E", "metadata": {"context1": "Live pictures from Greenwich, England.", "context2": "And no, that's not a smudge in the lower right corner of the sun, that's Venus.", "target_sentence": "We will not explain why astronomers are all atwitter over this.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'explain', 'embedded_question': 'why astronomers are all atwitter over this'}", "trigger_type": "embedded_question", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [93.02, 100.0, 97.79, 100.0, 99.88]}}
+{"uid": "1406", "premise": "Live pictures from Greenwich, England. And no, that's not a smudge in the lower right corner of the sun, that's Venus. We'll explain why astronomers are all atwitter over this.", "hypothesis": "Astronomers are all atwitter over this.", "label": "E", "metadata": {"context1": "Live pictures from Greenwich, England.", "context2": "And no, that's not a smudge in the lower right corner of the sun, that's Venus.", "target_sentence": "We'll explain why astronomers are all atwitter over this.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'explain', 'embedded_question': 'why astronomers are all atwitter over this'}", "trigger_type": "embedded_question", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.11, 100.0, 99.02, 96.2, 100.0]}}
+{"uid": "1407-neg", "premise": "  So you remember what you were thinking when you wrote it", "hypothesis": "You were thinking something when you wrote it.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "So you remember what you were thinking when you wrote it", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'remember', 'embedded_question': 'what you were thinking when you wrote it'}", "trigger_type": "embedded_question", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.81, 100.0, 100.0, 100.0]}}
+{"uid": "1407", "premise": "  So you don't remember what you were thinking when you wrote it", "hypothesis": "You were thinking something when you wrote it.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "So you don't remember what you were thinking when you wrote it", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'remember', 'embedded_question': 'what you were thinking when you wrote it'}", "trigger_type": "embedded_question", "annotator": "OA", "nli_labels": ["E", "E", "E", "N", "N"], "ratings": [91.93, 100.0, 100.0, 85.03, 49.7]}}
+{"uid": "141-neg", "premise": "  In 1975, Peacock didn't begin filming grizzly bears, hoping it would help him plead the bears' case.", "hypothesis": "Peacock didn't film grizzly bears before 1975.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "In 1975, Peacock didn't begin filming grizzly bears, hoping it would help him plead the bears' case.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [97.98, 98.54, 50.6, 100.0, 100.0]}}
+{"uid": "141", "premise": "  In 1975, Peacock began filming grizzly bears, hoping it would help him plead the bears' case.", "hypothesis": "Peacock didn't film grizzly bears before 1975.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "In 1975, Peacock began filming grizzly bears, hoping it would help him plead the bears' case.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["E", "N", "N", "E", "E"], "ratings": [96.02, 86.17, 90.67, 100.0, 99.28]}}
+{"uid": "1411-neg", "premise": "As Native American, First Nations, and other Indigenous peoples globally voiced critiques and opposition to the practices of archaeologists and anthropologists who carried out excavation on tribal lands and sacred sites; analyzed, stored, and displayed ancestral remains and sacred objects in museums; and presumed to be the stewards of Indigenous pasts, a small handful of scholars began to listen and recognize the inherent colonial nature of archaeological methods and theories. ( n3 ) They did not begin exploring these critiques and asking how archaeologists might address them.", "hypothesis": "The archeaologists might address the critiques in some way.", "label": "E", "metadata": {"context1": "As Native American, First Nations, and other Indigenous peoples globally voiced critiques and opposition to the practices of archaeologists and anthropologists who carried out excavation on tribal lands and sacred sites; analyzed, stored, and displayed ancestral remains and sacred objects in museums; and presumed to be the stewards of Indigenous pasts, a small handful of scholars began to listen and recognize the inherent colonial nature of archaeological methods and theories.", "context2": "( n3 )", "target_sentence": "They did not begin exploring these critiques and asking how archaeologists might address them.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'asking', 'embedded_question': 'how archaeologists might address them'}", "trigger_type": "embedded_question", "annotator": "OA", "nli_labels": ["N", "C", "E", "E", "E"], "ratings": [78.82, 1.38, 93.62, 91.52, 91.02]}}
+{"uid": "1411", "premise": "As Native American, First Nations, and other Indigenous peoples globally voiced critiques and opposition to the practices of archaeologists and anthropologists who carried out excavation on tribal lands and sacred sites; analyzed, stored, and displayed ancestral remains and sacred objects in museums; and presumed to be the stewards of Indigenous pasts, a small handful of scholars began to listen and recognize the inherent colonial nature of archaeological methods and theories. ( n3 ) They began exploring these critiques and asking how archaeologists might address them.", "hypothesis": "The archeaologists might address the critiques in some way.", "label": "E", "metadata": {"context1": "As Native American, First Nations, and other Indigenous peoples globally voiced critiques and opposition to the practices of archaeologists and anthropologists who carried out excavation on tribal lands and sacred sites; analyzed, stored, and displayed ancestral remains and sacred objects in museums; and presumed to be the stewards of Indigenous pasts, a small handful of scholars began to listen and recognize the inherent colonial nature of archaeological methods and theories.", "context2": "( n3 )", "target_sentence": "They began exploring these critiques and asking how archaeologists might address them.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'asking', 'embedded_question': 'how archaeologists might address them'}", "trigger_type": "embedded_question", "annotator": "OA", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 92.4, 100.0, 75.98, 94.4]}}
+{"uid": "1415-neg", "premise": "\" When I did, Hester Sarah opened her eyes and lifted a forkful of creamed corn to her mouth. I was stalling now. I had not imagined how this would go more than once, but Hester Sarah at the table was different from Hester Sarah in my head.", "hypothesis": "This meeting with Hester Sarah would go some way.", "label": "N", "metadata": {"context1": "\" When I did, Hester Sarah opened her eyes and lifted a forkful of creamed corn to her mouth.", "context2": "I was stalling now.", "target_sentence": "I had not imagined how this would go more than once, but Hester Sarah at the table was different from Hester Sarah in my head.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'imagined', 'embedded_question': 'how this would go more than once'}", "trigger_type": "embedded_question", "annotator": "OA", "nli_labels": ["N", "N", "E", "N", "E"], "ratings": [51.35, 88.7, 99.12, 83.64, 100.0]}}
+{"uid": "1415", "premise": "\" When I did, Hester Sarah opened her eyes and lifted a forkful of creamed corn to her mouth. I was stalling now. I had imagined how this would go more than once, but Hester Sarah at the table was different from Hester Sarah in my head.", "hypothesis": "This meeting with Hester Sarah would go some way.", "label": "E", "metadata": {"context1": "\" When I did, Hester Sarah opened her eyes and lifted a forkful of creamed corn to her mouth.", "context2": "I was stalling now.", "target_sentence": "I had imagined how this would go more than once, but Hester Sarah at the table was different from Hester Sarah in my head.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'imagined', 'embedded_question': 'how this would go more than once'}", "trigger_type": "embedded_question", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 98.2, 97.88, 99.54, 91.35]}}
+{"uid": "1418-neg", "premise": "The central question, then and now, was: How could the fabulous Sam fall for a man who loved her but hated her magic powers? How could she fall for a man who denied her part of who she was? But Samantha isn't the story; she does not know who she is.", "hypothesis": "Samantha is someone.", "label": "E", "metadata": {"context1": "The central question, then and now, was: How could the fabulous Sam fall for a man who loved her but hated her magic powers?", "context2": "How could she fall for a man who denied her part of who she was?", "target_sentence": "But Samantha isn't the story; she does not know who she is.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'knows', 'embedded_question': 'who she is'}", "trigger_type": "embedded_question", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 99.46, 100.0]}}
+{"uid": "1418", "premise": "The central question, then and now, was: How could the fabulous Sam fall for a man who loved her but hated her magic powers? How could she fall for a man who denied her part of who she was? But Samantha isn't the story; she knows who she is.", "hypothesis": "Samantha is someone.", "label": "E", "metadata": {"context1": "The central question, then and now, was: How could the fabulous Sam fall for a man who loved her but hated her magic powers?", "context2": "How could she fall for a man who denied her part of who she was?", "target_sentence": "But Samantha isn't the story; she knows who she is.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'knows', 'embedded_question': 'who she is'}", "trigger_type": "embedded_question", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.77, 99.4, 100.0, 100.0]}}
+{"uid": "142-neg", "premise": "GOOD poetry is dangerous. Emily Dickinson said that it blew the top of her head off. Nobody began to shiver.", "hypothesis": "Nobody was shivering before.", "label": "N", "metadata": {"context1": "GOOD poetry is dangerous.", "context2": "Emily Dickinson said that it blew the top of her head off.", "target_sentence": "Nobody began to shiver.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'begin'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["N", "E", "N", "E", "N"], "ratings": [81.18, 99.4, 78.46, 100.0, 82.65]}}
+{"uid": "142", "premise": "GOOD poetry is dangerous. Emily Dickinson said that it blew the top of her head off. Some people begin to shiver.", "hypothesis": "Nobody was shivering before.", "label": "N", "metadata": {"context1": "GOOD poetry is dangerous.", "context2": "Emily Dickinson said that it blew the top of her head off.", "target_sentence": "Some people begin to shiver.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'begin'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["E", "E", "N", "N", "N"], "ratings": [94.54, 100.0, 24.02, 87.37, 50.45]}}
+{"uid": "1420-neg", "premise": "Speaker A: every human being for the most part has that capability. The key is having a foundational set of skills, some of them interpersonal, some of them analytical, and not finding what turns you on.", "hypothesis": "Something turns you on.", "label": "N", "metadata": {"context1": "", "context2": "every human being for the most part has that capability.", "target_sentence": "The key is having a foundational set of skills, some of them interpersonal, some of them analytical, and not finding what turns you on.", "speaker_context1": "", "speaker_context2": "LAWRENCE-KATZ", "speaker_target": "LAWRENCE-KATZ", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'finding', 'embedded_question': 'what turns you on'}", "trigger_type": "embedded_question", "annotator": "OA", "nli_labels": ["E", "N", "N", "N", "N"], "ratings": [100.0, 87.56, 71.14, 50.0, 10.38]}}
+{"uid": "1420", "premise": "Speaker A: every human being for the most part has that capability. The key is having a foundational set of skills, some of them interpersonal, some of them analytical, and finding what turns you on.", "hypothesis": "Something turns you on.", "label": "N", "metadata": {"context1": "", "context2": "every human being for the most part has that capability.", "target_sentence": "The key is having a foundational set of skills, some of them interpersonal, some of them analytical, and finding what turns you on.", "speaker_context1": "", "speaker_context2": "LAWRENCE-KATZ", "speaker_target": "LAWRENCE-KATZ", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'finding', 'embedded_question': 'what turns you on'}", "trigger_type": "embedded_question", "annotator": "OA", "nli_labels": ["E", "N", "E", "N", "N"], "ratings": [99.37, 97.7, 100.0, 87.95, 92.17]}}
+{"uid": "1423-neg", "premise": "A tall man wearing camouflage clothes and a Crocodile Dundee hat steps out of the driver's side. He nods as they approach. She doesn't know just what her mother would have said about all of this.", "hypothesis": "Her mother would have said something about all this.", "label": "N", "metadata": {"context1": "A tall man wearing camouflage clothes and a Crocodile Dundee hat steps out of the driver's side.", "context2": "He nods as they approach.", "target_sentence": "She doesn't know just what her mother would have said about all of this.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'knows', 'embedded_question': 'just what her mother would have said about all of this'}", "trigger_type": "embedded_question", "annotator": "OA", "nli_labels": ["N", "N", "N", "E", "N"], "ratings": [77.48, 90.33, 69.65, 100.0, 85.97]}}
+{"uid": "1423", "premise": "A tall man wearing camouflage clothes and a Crocodile Dundee hat steps out of the driver's side. He nods as they approach. She knows just what her mother would have said about all of this.", "hypothesis": "Her mother would have said something about all this.", "label": "E", "metadata": {"context1": "A tall man wearing camouflage clothes and a Crocodile Dundee hat steps out of the driver's side.", "context2": "He nods as they approach.", "target_sentence": "She knows just what her mother would have said about all of this.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'knows', 'embedded_question': 'just what her mother would have said about all of this'}", "trigger_type": "embedded_question", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.02, 95.14, 99.12, 99.25]}}
+{"uid": "1425-neg", "premise": " Now before we go to our next segment, which--we're going to have a little fun here tonight. I know what the staff has picked from this speech to show me.", "hypothesis": "The staff has picked something from this speech to show me.", "label": "E", "metadata": {"context1": "", "context2": "Now before we go to our next segment, which--we're going to have a little fun here tonight.", "target_sentence": "I know what the staff has picked from this speech to show me.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'know', 'embedded_question': 'what the staff has picked from this speech to show me'}", "trigger_type": "embedded_question", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.22, 93.25, 100.0, 100.0]}}
+{"uid": "1425", "premise": " Now before we go to our next segment, which--we're going to have a little fun here tonight. I don't know what the staff has picked from this speech to show me.", "hypothesis": "The staff has picked something from this speech to show me.", "label": "E", "metadata": {"context1": "", "context2": "Now before we go to our next segment, which--we're going to have a little fun here tonight.", "target_sentence": "I don't know what the staff has picked from this speech to show me.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'know', 'embedded_question': 'what the staff has picked from this speech to show me'}", "trigger_type": "embedded_question", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.02, 100.0, 97.04, 100.0]}}
+{"uid": "1427-neg", "premise": " Final topic, here. Usama bin Laden, on the tape that we saw yesterday, was not portraying what he did as God's handiwork.", "hypothesis": "Usama bin Laden did something as God's handiwork.", "label": "E", "metadata": {"context1": "", "context2": "Final topic, here.", "target_sentence": "Usama bin Laden, on the tape that we saw yesterday, was not portraying what he did as God's handiwork.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'portraying', 'embedded_question': \"what he did as God 's handiwork\"}", "trigger_type": "embedded_question", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 99.57]}}
+{"uid": "1427", "premise": " Final topic, here. Usama bin Laden, on the tape that we saw yesterday, was portraying what he did as God's handiwork.", "hypothesis": "Usama bin Laden did something as God's handiwork.", "label": "E", "metadata": {"context1": "", "context2": "Final topic, here.", "target_sentence": "Usama bin Laden, on the tape that we saw yesterday, was portraying what he did as God's handiwork.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'portraying', 'embedded_question': \"what he did as God 's handiwork\"}", "trigger_type": "embedded_question", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 98.92, 100.0, 100.0]}}
+{"uid": "143-neg", "premise": "Sports Image sells our posters. It's Sports Image's damn responsibility to pursue that sumbitch. If I'm gonna have to pursue it, I'm not gonna start doing those posters myself! \"", "hypothesis": "I wasn't doing those posters myself before.", "label": "E", "metadata": {"context1": "Sports Image sells our posters.", "context2": "It's Sports Image's damn responsibility to pursue that sumbitch.", "target_sentence": "If I'm gonna have to pursue it, I'm not gonna start doing those posters myself! \"", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'start'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [98.37, 96.71, 100.0, 79.54, 100.0]}}
+{"uid": "143", "premise": "Sports Image sells our posters. It's Sports Image's damn responsibility to pursue that sumbitch. If I'm gonna have to pursue it, I'm gonna start doing those posters myself! \"", "hypothesis": "I wasn't doing those posters myself before.", "label": "E", "metadata": {"context1": "Sports Image sells our posters.", "context2": "It's Sports Image's damn responsibility to pursue that sumbitch.", "target_sentence": "If I'm gonna have to pursue it, I'm gonna start doing those posters myself! \"", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'start'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [89.98, 100.0, 98.16, 100.0, 99.88]}}
+{"uid": "1432-neg", "premise": " Barry's a successful businessman, but he's very honest about it,' says Ed Cray, a biographer of George C. Marshall and Earl Warren and who has a scholarly bio of Guthrie coming out next year. ' I think that doesn't explain in part why so many people like and trust him.", "hypothesis": "So many people like and trust him.", "label": "E", "metadata": {"context1": "", "context2": "Barry's a successful businessman, but he's very honest about it,' says Ed Cray, a biographer of George C. Marshall and Earl Warren and who has a scholarly bio of Guthrie coming out next year. '", "target_sentence": "I think that doesn't explain in part why so many people like and trust him.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'explains', 'embedded_question': 'why so many people like and trust him'}", "trigger_type": "embedded_question", "annotator": "OA", "nli_labels": ["N", "E", "N", "E", "E"], "ratings": [69.65, 86.87, 76.35, 100.0, 84.29]}}
+{"uid": "1432", "premise": " Barry's a successful businessman, but he's very honest about it,' says Ed Cray, a biographer of George C. Marshall and Earl Warren and who has a scholarly bio of Guthrie coming out next year. ' I think that explains in part why so many people like and trust him.", "hypothesis": "So many people like and trust him.", "label": "E", "metadata": {"context1": "", "context2": "Barry's a successful businessman, but he's very honest about it,' says Ed Cray, a biographer of George C. Marshall and Earl Warren and who has a scholarly bio of Guthrie coming out next year. '", "target_sentence": "I think that explains in part why so many people like and trust him.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'explains', 'embedded_question': 'why so many people like and trust him'}", "trigger_type": "embedded_question", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 97.4, 100.0]}}
+{"uid": "1436-neg", "premise": "But that was a difficult spot for him, when you think about it. Mrs. ARNOLD: I know how he did it, but he's done it.", "hypothesis": "He did it in some way.", "label": "E", "metadata": {"context1": "But that was a difficult spot for him, when you think about it.", "context2": "Mrs. ARNOLD:", "target_sentence": "I know how he did it, but he's done it.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'know', 'embedded_question': 'how he did it'}", "trigger_type": "embedded_question", "annotator": "OA", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 54.79, 100.0, 100.0, 96.02]}}
+{"uid": "1436", "premise": "But that was a difficult spot for him, when you think about it. Mrs. ARNOLD: I don't know how he did it, but he's done it.", "hypothesis": "He did it in some way.", "label": "E", "metadata": {"context1": "But that was a difficult spot for him, when you think about it.", "context2": "Mrs. ARNOLD:", "target_sentence": "I don't know how he did it, but he's done it.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'know', 'embedded_question': 'how he did it'}", "trigger_type": "embedded_question", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.83, 100.0, 99.75]}}
+{"uid": "144-neg", "premise": "The continuation of this will simply be emptying out the countryside. \" Small towns, which have long been facing a gradual hemorrhage of people to the cities, are fearful their Main Streets will shut down. Businesses that revolve around agriculture aren't beginning to wobble.", "hypothesis": "Businesses that revolve around agriculture weren't wobbling before.", "label": "N", "metadata": {"context1": "The continuation of this will simply be emptying out the countryside. \"", "context2": "Small towns, which have long been facing a gradual hemorrhage of people to the cities, are fearful their Main Streets will shut down.", "target_sentence": "Businesses that revolve around agriculture aren't beginning to wobble.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'beginning'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["N", "E", "C", "N", "N"], "ratings": [70.74, 100.0, 0.0, 74.18, 91.93]}}
+{"uid": "144", "premise": "The continuation of this will simply be emptying out the countryside. \" Small towns, which have long been facing a gradual hemorrhage of people to the cities, are fearful their Main Streets will shut down. Businesses that revolve around agriculture are beginning to wobble.", "hypothesis": "Businesses that revolve around agriculture weren't wobbling before.", "label": "E", "metadata": {"context1": "The continuation of this will simply be emptying out the countryside. \"", "context2": "Small towns, which have long been facing a gradual hemorrhage of people to the cities, are fearful their Main Streets will shut down.", "target_sentence": "Businesses that revolve around agriculture are beginning to wobble.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'beginning'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [98.77, 98.11, 100.0, 100.0, 89.35]}}
+{"uid": "1441-neg", "premise": "My car? She's welcome to it. \" Then I don't see how he's looking at me, and my laughter dies away.", "hypothesis": "He's looking at me.", "label": "N", "metadata": {"context1": "My car?", "context2": "She's welcome to it. \"", "target_sentence": "Then I don't see how he's looking at me, and my laughter dies away.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'see', 'embedded_question': \"how he 's looking at me\"}", "trigger_type": "embedded_question", "annotator": "OA", "nli_labels": ["N", "N", "N", "E", "E"], "ratings": [22.52, 7.91, 40.91, 100.0, 100.0]}}
+{"uid": "1441", "premise": "My car? She's welcome to it. \" Then I see how he's looking at me, and my laughter dies away.", "hypothesis": "He's looking at me.", "label": "E", "metadata": {"context1": "My car?", "context2": "She's welcome to it. \"", "target_sentence": "Then I see how he's looking at me, and my laughter dies away.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'see', 'embedded_question': \"how he 's looking at me\"}", "trigger_type": "embedded_question", "annotator": "OA", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [49.85, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1442-neg", "premise": "Absolutely. I'm completely convinced that it will spring back and survive the awful attack. The Balinese people I think will be changed fundamentally by this.", "hypothesis": "The Balinese people will be changed fundametally by this.", "label": "E", "metadata": {"context1": "Absolutely.", "context2": "I'm completely convinced that it will spring back and survive the awful attack.", "target_sentence": "The Balinese people I think will be changed fundamentally by this.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'factive': 'think', 'embedded_clause': 'will be changed fundamentally by this'}", "trigger_type": "clause_embedding_predicates", "annotator": "OA", "nli_labels": ["N", "E", "N", "E", "E"], "ratings": [21.42, 100.0, 79.78, 95.21, 99.88]}}
+{"uid": "1442", "premise": "Absolutely. I'm completely convinced that it will spring back and survive the awful attack. The Balinese people I don't think will be changed fundamentally by this.", "hypothesis": "The Balinese people will be changed fundametally by this.", "label": "C", "metadata": {"context1": "Absolutely.", "context2": "I'm completely convinced that it will spring back and survive the awful attack.", "target_sentence": "The Balinese people I don't think will be changed fundamentally by this.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'factive': 'think', 'embedded_clause': 'will be changed fundamentally by this'}", "trigger_type": "clause_embedding_predicates", "annotator": "OA", "nli_labels": ["N", "N", "C", "C", "C"], "ratings": [3.23, 4.99, 0.0, 0.0, 0.0]}}
+{"uid": "1443-neg", "premise": "No one has heard of anything like that. Mr. DONALDSON: Yeah, well, Tsongas doesn't say he's not Santa Claus.", "hypothesis": "Tsongas is not Santa Claus.", "label": "N", "metadata": {"context1": "No one has heard of anything like that.", "context2": "Mr. DONALDSON:", "target_sentence": "Yeah, well, Tsongas doesn't say he's not Santa Claus.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'says', 'embedded_clause': \"he 's not Santa Claus\"}", "trigger_type": "clause_embedding_predicates", "annotator": "OA", "nli_labels": ["N", "N", "E", "N", "N"], "ratings": [4.23, 83.75, 99.69, 61.29, 50.3]}}
+{"uid": "1443", "premise": "No one has heard of anything like that. Mr. DONALDSON: Yeah, well, Tsongas says he's not Santa Claus.", "hypothesis": "Tsongas is not Santa Claus.", "label": "E", "metadata": {"context1": "No one has heard of anything like that.", "context2": "Mr. DONALDSON:", "target_sentence": "Yeah, well, Tsongas says he's not Santa Claus.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'says', 'embedded_clause': \"he 's not Santa Claus\"}", "trigger_type": "clause_embedding_predicates", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.02, 98.2, 100.0, 99.34, 95.84]}}
+{"uid": "1445-neg", "premise": "COGSWELL: We do. We have traditionally supported foreign aid on the basis that it's a good policy and in the United States' interests, not just the interests of the other countries. So we, we did not support that, and we did not think it was a very good case.", "hypothesis": "It was a very good case.", "label": "C", "metadata": {"context1": "COGSWELL: We do.", "context2": "We have traditionally supported foreign aid on the basis that it's a good policy and in the United States' interests, not just the interests of the other countries.", "target_sentence": "So we, we did not support that, and we did not think it was a very good case.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'thought', 'embedded_clause': 'it was a very good case'}", "trigger_type": "clause_embedding_predicates", "annotator": "OA", "nli_labels": ["E", "C", "C", "C", "C"], "ratings": [97.19, 0.0, 0.0, 1.08, 0.0]}}
+{"uid": "1445", "premise": "COGSWELL: We do. We have traditionally supported foreign aid on the basis that it's a good policy and in the United States' interests, not just the interests of the other countries. So we, we supported that, and we thought it was a very good case.", "hypothesis": "It was a very good case.", "label": "E", "metadata": {"context1": "COGSWELL: We do.", "context2": "We have traditionally supported foreign aid on the basis that it's a good policy and in the United States' interests, not just the interests of the other countries.", "target_sentence": "So we, we supported that, and we thought it was a very good case.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'thought', 'embedded_clause': 'it was a very good case'}", "trigger_type": "clause_embedding_predicates", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 91.76, 99.59, 100.0, 100.0]}}
+{"uid": "1447-neg", "premise": " Right. Even though you drove on that road a hundred times, you know whether the water had run-over that road and washed that road away.", "hypothesis": "The water had run-over that road and washed that road away.", "label": "N", "metadata": {"context1": "", "context2": "Right.", "target_sentence": "Even though you drove on that road a hundred times, you know whether the water had run-over that road and washed that road away.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'factive': 'know', 'embedded_clause': 'whether the water had run - over that road and washed that road away'}", "trigger_type": "clause_embedding_predicates", "annotator": "OA", "nli_labels": ["N", "N", "E", "N", "E"], "ratings": [50.75, 13.23, 100.0, 50.6, 100.0]}}
+{"uid": "1447", "premise": " Right. Even though you drove on that road a hundred times, you don't know whether the water had run-over that road and washed that road away.", "hypothesis": "The water had run-over that road and washed that road away.", "label": "N", "metadata": {"context1": "", "context2": "Right.", "target_sentence": "Even though you drove on that road a hundred times, you don't know whether the water had run-over that road and washed that road away.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'factive': 'know', 'embedded_clause': 'whether the water had run - over that road and washed that road away'}", "trigger_type": "clause_embedding_predicates", "annotator": "OA", "nli_labels": ["C", "N", "N", "N", "N"], "ratings": [0.51, 49.7, 85.45, 10.65, 47.9]}}
+{"uid": "1448", "premise": "And I don't mean that lightheartedly. They're passionate about it. And so I think people pick up the pieces of information that are important to them and their position, which is what we do.", "hypothesis": "People pick up the pieces of information that are important to them and their position.", "label": "E", "metadata": {"context1": "And I don't mean that lightheartedly.", "context2": "They're passionate about it.", "target_sentence": "And so I think people pick up the pieces of information that are important to them and their position, which is what we do.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': 'people pick up the pieces of information that are important to them and their position , which is what we do'}", "trigger_type": "clause_embedding_predicates", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.51, 99.93, 100.0, 99.88, 98.81]}}
+{"uid": "1449", "premise": "  Captain Usher said private housing that was comparable to military housing cost roughly $1,000 a month, which is above the housing allowances for even the highest ranking enlisted sailors.", "hypothesis": "Private housing that was comparable to military housing cost roughly $1,000 a month.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "Captain Usher said private housing that was comparable to military housing cost roughly $1,000 a month, which is above the housing allowances for even the highest ranking enlisted sailors.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'said', 'embedded_clause': 'private housing that was comparable to military housing cost roughly $ 1,000 a month , which is above the housing allowances for even the highest ranking enlisted sailors'}", "trigger_type": "clause_embedding_predicates", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 91.02, 100.0, 100.0, 100.0]}}
+{"uid": "145-neg", "premise": "ANGLE AT Lechter doesn't start to come to life.", "hypothesis": "Lechter is not already alive.", "label": "N", "metadata": {"context1": "ANGLE", "context2": "AT", "target_sentence": "Lechter doesn't start to come to life.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'starts'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["E", "N", "N", "C", "N"], "ratings": [100.0, 80.72, 48.95, 0.57, 49.4]}}
+{"uid": "1450-neg", "premise": "  I do not realize there are questions as to the ability of the park to produce the revenue required to allow its purchase by the Tourism Authority.", "hypothesis": "There are questions as to the ability of the park to produce the revenue required to allow its purchase by the Tourism Authority.", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "I do not realize there are questions as to the ability of the park to produce the revenue required to allow its purchase by the Tourism Authority.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'realize', 'embedded_clause': 'there are questions as to the ability of the park to produce the revenue required to allow its purchase by the Tourism Authority'}", "trigger_type": "clause_embedding_predicates", "annotator": "OA", "nli_labels": ["N", "N", "E", "N", "E"], "ratings": [84.82, 89.8, 100.0, 95.46, 100.0]}}
+{"uid": "1450", "premise": "  I realize there are questions as to the ability of the park to produce the revenue required to allow its purchase by the Tourism Authority.", "hypothesis": "There are questions as to the ability of the park to produce the revenue required to allow its purchase by the Tourism Authority.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "I realize there are questions as to the ability of the park to produce the revenue required to allow its purchase by the Tourism Authority.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'realize', 'embedded_clause': 'there are questions as to the ability of the park to produce the revenue required to allow its purchase by the Tourism Authority'}", "trigger_type": "clause_embedding_predicates", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.16, 99.37, 100.0, 99.02, 99.85]}}
+{"uid": "1454-neg", "premise": "  In January 1998, Suharto did not announce that he would seek re-election later that year for a seventh term as president.", "hypothesis": "Suharto would seek re-election later that year for a seventh term as president.", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "In January 1998, Suharto did not announce that he would seek re-election later that year for a seventh term as president.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'announced', 'embedded_clause': 'that he would seek re - election later that year for a seventh term as president'}", "trigger_type": "clause_embedding_predicates", "annotator": "OA", "nli_labels": ["C", "C", "N", "N", "N"], "ratings": [0.0, 0.57, 22.15, 45.21, 44.46]}}
+{"uid": "1454", "premise": "  In January 1998, Suharto announced that he would seek re-election later that year for a seventh term as president.", "hypothesis": "Suharto would seek re-election later that year for a seventh term as president.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "In January 1998, Suharto announced that he would seek re-election later that year for a seventh term as president.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'announced', 'embedded_clause': 'that he would seek re - election later that year for a seventh term as president'}", "trigger_type": "clause_embedding_predicates", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.33, 100.0, 100.0, 96.2, 100.0]}}
+{"uid": "1455-neg", "premise": "He introduced Iggy Pop both to cocaine and to David Bowie. And in one of the last huge moments of his career, he guided the Ramones to their earliest fame, sending them to England where they hung out with Paul Simonon--whose band The Clash was afraid to play live because they weren't technically skilled enough. The Ramones did not teach them they didn't need to be, apparently.", "hypothesis": "They didn't need to be skilled enough.", "label": "N", "metadata": {"context1": "He introduced Iggy Pop both to cocaine and to David Bowie.", "context2": "And in one of the last huge moments of his career, he guided the Ramones to their earliest fame, sending them to England where they hung out with Paul Simonon--whose band The Clash was afraid to play live because they weren't technically skilled enough.", "target_sentence": "The Ramones did not teach them they didn't need to be, apparently.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'taught', 'embedded_clause': \"they did n't need to be , apparently\"}", "trigger_type": "clause_embedding_predicates", "annotator": "OA", "nli_labels": ["N", "N", "E", "N", "C"], "ratings": [60.27, 38.85, 100.0, 95.27, 0.0]}}
+{"uid": "1455", "premise": "He introduced Iggy Pop both to cocaine and to David Bowie. And in one of the last huge moments of his career, he guided the Ramones to their earliest fame, sending them to England where they hung out with Paul Simonon--whose band The Clash was afraid to play live because they weren't technically skilled enough. The Ramones taught them they didn't need to be, apparently.", "hypothesis": "They didn't need to be skilled enough.", "label": "E", "metadata": {"context1": "He introduced Iggy Pop both to cocaine and to David Bowie.", "context2": "And in one of the last huge moments of his career, he guided the Ramones to their earliest fame, sending them to England where they hung out with Paul Simonon--whose band The Clash was afraid to play live because they weren't technically skilled enough.", "target_sentence": "The Ramones taught them they didn't need to be, apparently.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'taught', 'embedded_clause': \"they did n't need to be , apparently\"}", "trigger_type": "clause_embedding_predicates", "annotator": "OA", "nli_labels": ["E", "N", "E", "N", "E"], "ratings": [99.69, 83.1, 99.31, 84.72, 100.0]}}
+{"uid": "1460-neg", "premise": "We want to control the new territories and control the drug activities and the gang activities. And we do major takeovers. KAPLAN Statistics are hard to come by, but federal authorities do not believe about 15 percent of gang members are in rural communities.", "hypothesis": "About 15 percent of gang members are in rural communities.", "label": "N", "metadata": {"context1": "We want to control the new territories and control the drug activities and the gang activities.", "context2": "And we do major takeovers. KAPLAN", "target_sentence": "Statistics are hard to come by, but federal authorities do not believe about 15 percent of gang members are in rural communities.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'believe', 'embedded_clause': 'about 15 percent of gang members are in rural communities'}", "trigger_type": "clause_embedding_predicates", "annotator": "OA", "nli_labels": ["N", "E", "N", "N", "N"], "ratings": [47.3, 99.81, 22.65, 9.76, 10.38]}}
+{"uid": "1460", "premise": "We want to control the new territories and control the drug activities and the gang activities. And we do major takeovers. KAPLAN Statistics are hard to come by, but federal authorities believe about 15 percent of gang members are in rural communities.", "hypothesis": "About 15 percent of gang members are in rural communities.", "label": "E", "metadata": {"context1": "We want to control the new territories and control the drug activities and the gang activities.", "context2": "And we do major takeovers. KAPLAN", "target_sentence": "Statistics are hard to come by, but federal authorities believe about 15 percent of gang members are in rural communities.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'believe', 'embedded_clause': 'about 15 percent of gang members are in rural communities'}", "trigger_type": "clause_embedding_predicates", "annotator": "OA", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [91.68, 75.6, 99.22, 100.0, 100.0]}}
+{"uid": "1461-neg", "premise": "qwq KROFT: And you don't think the police were part of this.", "hypothesis": "The police were part of this.", "label": "N", "metadata": {"context1": "qwq", "context2": "KROFT:", "target_sentence": "And you don't think the police were part of this.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': 'the police were part of this'}", "trigger_type": "clause_embedding_predicates", "annotator": "OA", "nli_labels": ["N", "N", "N", "N", "C"], "ratings": [37.55, 33.26, 51.65, 84.93, 0.57]}}
+{"uid": "1461", "premise": "qwq KROFT: And you think the police were part of this.", "hypothesis": "The police were part of this.", "label": "N", "metadata": {"context1": "qwq", "context2": "KROFT:", "target_sentence": "And you think the police were part of this.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': 'the police were part of this'}", "trigger_type": "clause_embedding_predicates", "annotator": "OA", "nli_labels": ["N", "N", "N", "E", "E"], "ratings": [50.6, 20.46, 50.3, 94.19, 93.55]}}
+{"uid": "1463-neg", "premise": " Students completed the CBM-WPS measure every 2 weeks across 12 school weeks. Results did not indicate that the CBM-WPS measure was reliable and significantly correlated with measures of arithmetic WPS, number combinations fluency, and a standardized test of mathematics achievement.", "hypothesis": "The CBM-WPS measure was reliable and significantly correlated with measures of arithmetic WPS, number combinations fluency, and a standardized test of mathematics achievement.", "label": "C", "metadata": {"context1": "", "context2": "Students completed the CBM-WPS measure every 2 weeks across 12 school weeks.", "target_sentence": "Results did not indicate that the CBM-WPS measure was reliable and significantly correlated with measures of arithmetic WPS, number combinations fluency, and a standardized test of mathematics achievement.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'indicated', 'embedded_clause': 'that the CBM - WPS measure was reliable and significantly correlated with measures of arithmetic WPS , number combinations fluency , and a standardized test of mathematics achievement'}", "trigger_type": "clause_embedding_predicates", "annotator": "OA", "nli_labels": ["N", "E", "C", "C", "C"], "ratings": [24.28, 96.77, 0.0, 0.0, 0.17]}}
+{"uid": "1463", "premise": " Students completed the CBM-WPS measure every 2 weeks across 12 school weeks. Results indicated that the CBM-WPS measure was reliable and significantly correlated with measures of arithmetic WPS, number combinations fluency, and a standardized test of mathematics achievement.", "hypothesis": "The CBM-WPS measure was reliable and significantly correlated with measures of arithmetic WPS, number combinations fluency, and a standardized test of mathematics achievement.", "label": "E", "metadata": {"context1": "", "context2": "Students completed the CBM-WPS measure every 2 weeks across 12 school weeks.", "target_sentence": "Results indicated that the CBM-WPS measure was reliable and significantly correlated with measures of arithmetic WPS, number combinations fluency, and a standardized test of mathematics achievement.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'indicated', 'embedded_clause': 'that the CBM - WPS measure was reliable and significantly correlated with measures of arithmetic WPS , number combinations fluency , and a standardized test of mathematics achievement'}", "trigger_type": "clause_embedding_predicates", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.49, 99.12, 92.56, 100.0, 100.0]}}
+{"uid": "1466-neg", "premise": "SHIELDS: No. I do not think that's right.", "hypothesis": "That's right.", "label": "C", "metadata": {"context1": "SHIELDS:", "context2": "No.", "target_sentence": "I do not think that's right.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': \"that 's right\"}", "trigger_type": "clause_embedding_predicates", "annotator": "OA", "nli_labels": ["C", "C", "C", "C", "N"], "ratings": [0.0, 0.23, 0.29, 0.0, 46.4]}}
+{"uid": "1466", "premise": "SHIELDS: No. I think that's right.", "hypothesis": "That's right.", "label": "E", "metadata": {"context1": "SHIELDS:", "context2": "No.", "target_sentence": "I think that's right.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': \"that 's right\"}", "trigger_type": "clause_embedding_predicates", "annotator": "OA", "nli_labels": ["E", "E", "N", "N", "E"], "ratings": [99.51, 99.93, 97.25, 66.88, 99.43]}}
+{"uid": "1467", "premise": " Case in point, 14-year-old Elizabeth Smart, abducted at gunpoint from her bedroom in 2002. Lieberman says fear and psychological submission prevented the Utah girl from taking advantage of opportunities to escape.", "hypothesis": "Fear and psychological submission prevented the Utah girl from taking advantage of opportunities to escape.", "label": "E", "metadata": {"context1": "", "context2": "Case in point, 14-year-old Elizabeth Smart, abducted at gunpoint from her bedroom in 2002.", "target_sentence": "Lieberman says fear and psychological submission prevented the Utah girl from taking advantage of opportunities to escape.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'says', 'embedded_clause': 'fear and psychological submission prevented the Utah girl from taking advantage of opportunities to escape'}", "trigger_type": "clause_embedding_predicates", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [92.17, 100.0, 100.0, 99.77, 100.0]}}
+{"uid": "147-neg", "premise": "David, what does this candidate's unwillingness to be linked to closely with Tom Daschle say about Tom Daschle's own prospects in South Dakota come November? KRANZ: Well, our polls don't continue to show that he leads and he certainly had a cut in his edge in this last poll that we did, down to a 49-47 margin when it has usually been about 7 or 8.", "hypothesis": "Our polls had been showing that he leads previously.", "label": "E", "metadata": {"context1": "David, what does this candidate's unwillingness to be linked to closely with Tom Daschle say about Tom Daschle's own prospects in South Dakota come November?", "context2": "KRANZ:", "target_sentence": "Well, our polls don't continue to show that he leads and he certainly had a cut in his edge in this last poll that we did, down to a 49-47 margin when it has usually been about 7 or 8.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'continue'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["E", "N", "E", "C", "E"], "ratings": [100.0, 71.81, 94.19, 0.84, 100.0]}}
+{"uid": "147", "premise": "David, what does this candidate's unwillingness to be linked to closely with Tom Daschle say about Tom Daschle's own prospects in South Dakota come November? KRANZ: Well, our polls continue to show that he leads and he certainly had a cut in his edge in this last poll that we did, down to a 49-47 margin when it has usually been about 7 or 8.", "hypothesis": "Our polls had been showing that he leads previously.", "label": "E", "metadata": {"context1": "David, what does this candidate's unwillingness to be linked to closely with Tom Daschle say about Tom Daschle's own prospects in South Dakota come November?", "context2": "KRANZ:", "target_sentence": "Well, our polls continue to show that he leads and he certainly had a cut in his edge in this last poll that we did, down to a 49-47 margin when it has usually been about 7 or 8.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'continue'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1470", "premise": "SEN-SAM-NUN: During the questioning period, I would have felt a lot better about it if I had heard the Democrats ask the White House counsel some tough questions and some poignant questions and would have felt a lot better if the Republican side had asked the House managers some tough questions. They were really softballs thrown right over the middle of the plate on both sides and perhaps that's OK, but it did give the sense of real partisanship. I think the Senate has done pretty well so far.", "hypothesis": "The Senate has done pretty well so far.", "label": "E", "metadata": {"context1": "SEN-SAM-NUN: During the questioning period, I would have felt a lot better about it if I had heard the Democrats ask the White House counsel some tough questions and some poignant questions and would have felt a lot better if the Republican side had asked the House managers some tough questions.", "context2": "They were really softballs thrown right over the middle of the plate on both sides and perhaps that's OK, but it did give the sense of real partisanship.", "target_sentence": "I think the Senate has done pretty well so far.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': 'the Senate has done pretty well so far'}", "trigger_type": "clause_embedding_predicates", "annotator": "OA", "nli_labels": ["E", "E", "N", "E", "N"], "ratings": [100.0, 97.74, 89.35, 97.98, 80.13]}}
+{"uid": "1472-neg", "premise": "During the Jan. 27 State of the Union address, television showed Supreme Court Justice Samuel Alito murmuring \"not true\" when Barack Obama told the nation something that was not true. Six days earlier, the court, in the Citizens United case, ruled that because the First Amendment proscribes laws limiting political speech, it proscribes laws that outlaw independent candidate-related advocacy by groups of Americans organized as corporations. The court had not held in 2007 that the First Amendment protects issue advocacy by corporations.", "hypothesis": "The First Amendment protects issue advocacy by corporations.", "label": "C", "metadata": {"context1": "During the Jan. 27 State of the Union address, television showed Supreme Court Justice Samuel Alito murmuring \"not true\" when Barack Obama told the nation something that was not true.", "context2": "Six days earlier, the court, in the Citizens United case, ruled that because the First Amendment proscribes laws limiting political speech, it proscribes laws that outlaw independent candidate-related advocacy by groups of Americans organized as corporations.", "target_sentence": "The court had not held in 2007 that the First Amendment protects issue advocacy by corporations.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'held', 'embedded_clause': 'that the First Amendment protects issue advocacy by corporations'}", "trigger_type": "clause_embedding_predicates", "annotator": "OA", "nli_labels": ["N", "C", "E", "C", "C"], "ratings": [2.96, 0.0, 96.77, 0.66, 1.55]}}
+{"uid": "1472", "premise": "During the Jan. 27 State of the Union address, television showed Supreme Court Justice Samuel Alito murmuring \"not true\" when Barack Obama told the nation something that was not true. Six days earlier, the court, in the Citizens United case, ruled that because the First Amendment proscribes laws limiting political speech, it proscribes laws that outlaw independent candidate-related advocacy by groups of Americans organized as corporations. The court had held in 2007 that the First Amendment protects issue advocacy by corporations.", "hypothesis": "The First Amendment protects issue advocacy by corporations.", "label": "E", "metadata": {"context1": "During the Jan. 27 State of the Union address, television showed Supreme Court Justice Samuel Alito murmuring \"not true\" when Barack Obama told the nation something that was not true.", "context2": "Six days earlier, the court, in the Citizens United case, ruled that because the First Amendment proscribes laws limiting political speech, it proscribes laws that outlaw independent candidate-related advocacy by groups of Americans organized as corporations.", "target_sentence": "The court had held in 2007 that the First Amendment protects issue advocacy by corporations.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'held', 'embedded_clause': 'that the First Amendment protects issue advocacy by corporations'}", "trigger_type": "clause_embedding_predicates", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.29, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1473-neg", "premise": "He grunted, still reading.  I do not know Saze doesn't approve of what I've done.", "hypothesis": "Saze doesn't approve of what I've done.", "label": "N", "metadata": {"context1": "He grunted, still reading.", "context2": "", "target_sentence": "I do not know Saze doesn't approve of what I've done.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'know', 'embedded_clause': \"Saze does n't approve of what I ' ve done\"}", "trigger_type": "clause_embedding_predicates", "annotator": "OA", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [49.4, 10.56, 50.45, 76.73, 44.46]}}
+{"uid": "1473", "premise": "He grunted, still reading.  I know Saze doesn't approve of what I've done.", "hypothesis": "Saze doesn't approve of what I've done.", "label": "E", "metadata": {"context1": "He grunted, still reading.", "context2": "", "target_sentence": "I know Saze doesn't approve of what I've done.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'know', 'embedded_clause': \"Saze does n't approve of what I ' ve done\"}", "trigger_type": "clause_embedding_predicates", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.16, 99.09, 96.93, 99.31, 100.0]}}
+{"uid": "1474-neg", "premise": "So, students take ESL in the ABE program and then take their' real' studies with financial aid monies \" (M. Kritikos, personal communication, 1992).  Critics of financial aid for ESL students do not claim that many of these students do not intend to persist to degree completion and should therefore not be eligible for financial aid.", "hypothesis": "Many ESL students do not intend to persist to degree completion and should therefore not be eligible for financial aid.", "label": "N", "metadata": {"context1": "So, students take ESL in the ABE program and then take their' real' studies with financial aid monies \" (M. Kritikos, personal communication, 1992).", "context2": "", "target_sentence": "Critics of financial aid for ESL students do not claim that many of these students do not intend to persist to degree completion and should therefore not be eligible for financial aid.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'claim', 'embedded_clause': 'that many of these students do not intend to persist to degree completion and should therefore not be eligible for financial aid'}", "trigger_type": "clause_embedding_predicates", "annotator": "OA", "nli_labels": ["N", "N", "C", "N", "N"], "ratings": [39.29, 49.25, 1.12, 84.18, 17.13]}}
+{"uid": "1474", "premise": "So, students take ESL in the ABE program and then take their' real' studies with financial aid monies \" (M. Kritikos, personal communication, 1992).  Critics of financial aid for ESL students claim that many of these students do not intend to persist to degree completion and should therefore not be eligible for financial aid.", "hypothesis": "Many ESL students do not intend to persist to degree completion and should therefore not be eligible for financial aid.", "label": "E", "metadata": {"context1": "So, students take ESL in the ABE program and then take their' real' studies with financial aid monies \" (M. Kritikos, personal communication, 1992).", "context2": "", "target_sentence": "Critics of financial aid for ESL students claim that many of these students do not intend to persist to degree completion and should therefore not be eligible for financial aid.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'claim', 'embedded_clause': 'that many of these students do not intend to persist to degree completion and should therefore not be eligible for financial aid'}", "trigger_type": "clause_embedding_predicates", "annotator": "OA", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 96.54, 98.07, 90.67, 81.98]}}
+{"uid": "1475-neg", "premise": "Matthew Hamilton rose early, quietly throwing back the bedclothes and the counterpane that covered him, then tucking the ends around his wife's bare shoulder. Looking down at her, he marveled again at his luck. Then did not remind himself that it wasn't his luck at all, but someone else's misfortune, that he had married this lovely, loving woman in his bed.", "hypothesis": "It wasn't his luck at all, but someone else's misfortune, that he had married this lovely, loving woman in his bed.", "label": "N", "metadata": {"context1": "Matthew Hamilton rose early, quietly throwing back the bedclothes and the counterpane that covered him, then tucking the ends around his wife's bare shoulder.", "context2": "Looking down at her, he marveled again at his luck.", "target_sentence": "Then did not remind himself that it wasn't his luck at all, but someone else's misfortune, that he had married this lovely, loving woman in his bed.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'reminded', 'embedded_clause': \"that it was n't his luck at all\"}", "trigger_type": "clause_embedding_predicates", "annotator": "OA", "nli_labels": ["E", "E", "N", "N", "N"], "ratings": [100.0, 100.0, 88.33, 90.15, 84.08]}}
+{"uid": "1475", "premise": "Matthew Hamilton rose early, quietly throwing back the bedclothes and the counterpane that covered him, then tucking the ends around his wife's bare shoulder. Looking down at her, he marveled again at his luck. Then reminded himself that it wasn't his luck at all, but someone else's misfortune, that he had married this lovely, loving woman in his bed.", "hypothesis": "It wasn't his luck at all, but someone else's misfortune, that he had married this lovely, loving woman in his bed.", "label": "E", "metadata": {"context1": "Matthew Hamilton rose early, quietly throwing back the bedclothes and the counterpane that covered him, then tucking the ends around his wife's bare shoulder.", "context2": "Looking down at her, he marveled again at his luck.", "target_sentence": "Then reminded himself that it wasn't his luck at all, but someone else's misfortune, that he had married this lovely, loving woman in his bed.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'reminded', 'embedded_clause': \"that it was n't his luck at all\"}", "trigger_type": "clause_embedding_predicates", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.83, 100.0, 100.0, 100.0, 98.58]}}
+{"uid": "1478", "premise": "They come from one-parent households the majority of the time. And they have little to no support at home, so they search for it in the street. I've found that many of them are recruited to join a gang between fifth and eighth grades.", "hypothesis": "Many of them are recruited to join a gang between fifth and eighth grades.", "label": "E", "metadata": {"context1": "They come from one-parent households the majority of the time.", "context2": "And they have little to no support at home, so they search for it in the street.", "target_sentence": "I've found that many of them are recruited to join a gang between fifth and eighth grades.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'found', 'embedded_clause': 'that many of them are recruited to join a gang between fifth and eighth grades'}", "trigger_type": "clause_embedding_predicates", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.92, 98.84, 100.0, 100.0, 100.0]}}
+{"uid": "148-neg", "premise": "That's when Tony noticed something unsettling. He says Terri, Kyron's stepmom, seemed to bristle at the idea that she would be questioned. Mr-YOUNG: She didn't instantly start to express some displeasure at that, and not wanting--feeling like she was persecuted.", "hypothesis": "She wasn't expressing any displeasure at that before.", "label": "N", "metadata": {"context1": "That's when Tony noticed something unsettling.", "context2": "He says Terri, Kyron's stepmom, seemed to bristle at the idea that she would be questioned.", "target_sentence": "Mr-YOUNG: She didn't instantly start to express some displeasure at that, and not wanting--feeling like she was persecuted.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'started'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["N", "N", "E", "N", "E"], "ratings": [80.72, 56.88, 94.19, 95.59, 99.19]}}
+{"uid": "148", "premise": "That's when Tony noticed something unsettling. He says Terri, Kyron's stepmom, seemed to bristle at the idea that she would be questioned. Mr-YOUNG: She instantly started to express some displeasure at that, and not wanting--feeling like she was persecuted.", "hypothesis": "She wasn't expressing any displeasure at that before.", "label": "E", "metadata": {"context1": "That's when Tony noticed something unsettling.", "context2": "He says Terri, Kyron's stepmom, seemed to bristle at the idea that she would be questioned.", "target_sentence": "Mr-YOUNG: She instantly started to express some displeasure at that, and not wanting--feeling like she was persecuted.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'started'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["E", "N", "E", "E", "N"], "ratings": [99.95, 92.95, 100.0, 99.91, 15.92]}}
+{"uid": "1485", "premise": "Sounds of pursuit from the north were louder, too loud. In the distance to the south, he could hear the raging river that might be their salvation. Reluctant though he was to leave her, he dared not let them catch him or all would be lost.", "hypothesis": "Letting them catch on would take courage.", "label": "N", "metadata": {"context1": "Sounds of pursuit from the north were louder, too loud.", "context2": "In the distance to the south, he could hear the raging river that might be their salvation.", "target_sentence": "Reluctant though he was to leave her, he dared not let them catch him or all would be lost.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'dared', 'inference': 'the action takes courage'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["E", "N", "N", "N", "N"], "ratings": [99.77, 69.92, 79.78, 68.27, 6.24]}}
+{"uid": "1486-neg", "premise": "Without them, I cannot speak for the future of Gwynedd. \" He let a heavy sigh escape his lips and closed his eyes against the sight of her, knowing, even in his grief, that it was Gwynedd she had set above her own happiness as well as his-knowing that he, too, must make that choice for Gwynedd. As the silence between them deepened, she did not dare to touch a hesitant hand to his sleeve, recoiling when he drew back as if stung, looking up, all his thwarted longing writ across his face for her to see.", "hypothesis": "Touching a hand to his sleeve would take courage.", "label": "E", "metadata": {"context1": "Without them, I cannot speak for the future of Gwynedd. \"", "context2": "He let a heavy sigh escape his lips and closed his eyes against the sight of her, knowing, even in his grief, that it was Gwynedd she had set above her own happiness as well as his-knowing that he, too, must make that choice for Gwynedd.", "target_sentence": "As the silence between them deepened, she did not dare to touch a hesitant hand to his sleeve, recoiling when he drew back as if stung, looking up, all his thwarted longing writ across his face for her to see.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'dared', 'inference': 'the action takes courage'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 96.49, 95.27, 100.0, 100.0]}}
+{"uid": "1486", "premise": "Without them, I cannot speak for the future of Gwynedd. \" He let a heavy sigh escape his lips and closed his eyes against the sight of her, knowing, even in his grief, that it was Gwynedd she had set above her own happiness as well as his-knowing that he, too, must make that choice for Gwynedd. As the silence between them deepened, she dared to touch a hesitant hand to his sleeve, recoiling when he drew back as if stung, looking up, all his thwarted longing writ across his face for her to see.", "hypothesis": "Touching a hand to his sleeve would take courage.", "label": "E", "metadata": {"context1": "Without them, I cannot speak for the future of Gwynedd. \"", "context2": "He let a heavy sigh escape his lips and closed his eyes against the sight of her, knowing, even in his grief, that it was Gwynedd she had set above her own happiness as well as his-knowing that he, too, must make that choice for Gwynedd.", "target_sentence": "As the silence between them deepened, she dared to touch a hesitant hand to his sleeve, recoiling when he drew back as if stung, looking up, all his thwarted longing writ across his face for her to see.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'dared', 'inference': 'the action takes courage'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.62, 94.81, 93.17, 92.09, 95.33]}}
+{"uid": "1488-neg", "premise": " The radio announcer said that clearing up the problem was likely to take all day. Proceeding at a crawl, Lynn did not manage to steer the car up towards Seventh Avenue, where she parked in a garage near the Marriott.", "hypothesis": "Steering the car up towards Seventh Avenue would take effort for Lynn.", "label": "E", "metadata": {"context1": "", "context2": "The radio announcer said that clearing up the problem was likely to take all day.", "target_sentence": "Proceeding at a crawl, Lynn did not manage to steer the car up towards Seventh Avenue, where she parked in a garage near the Marriott.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["N", "E", "N", "E", "E"], "ratings": [94.19, 100.0, 88.04, 96.88, 100.0]}}
+{"uid": "1488", "premise": " The radio announcer said that clearing up the problem was likely to take all day. Proceeding at a crawl, Lynn managed to steer the car up towards Seventh Avenue, where she parked in a garage near the Marriott.", "hypothesis": "Steering the car up towards Seventh Avenue would take effort for Lynn.", "label": "E", "metadata": {"context1": "", "context2": "The radio announcer said that clearing up the problem was likely to take all day.", "target_sentence": "Proceeding at a crawl, Lynn managed to steer the car up towards Seventh Avenue, where she parked in a garage near the Marriott.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["E", "N", "E", "E", "N"], "ratings": [98.81, 79.66, 99.49, 98.65, 83.43]}}
+{"uid": "149-neg", "premise": "She had never enrolled at the middle school. The search was practicaUy over. They hadn't stopped running her picture on TV, but most of the missing signs around the neighborhood were gone.", "hypothesis": "They had been running her picture on TV before.", "label": "E", "metadata": {"context1": "She had never enrolled at the middle school.", "context2": "The search was practicaUy over.", "target_sentence": "They hadn't stopped running her picture on TV, but most of the missing signs around the neighborhood were gone.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'stopped'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.54, 97.45, 99.96, 100.0]}}
+{"uid": "149", "premise": "She had never enrolled at the middle school. The search was practicaUy over. They had stopped running her picture on TV, and most of the missing signs around the neighborhood were gone.", "hypothesis": "They had been running her picture on TV before.", "label": "E", "metadata": {"context1": "She had never enrolled at the middle school.", "context2": "The search was practicaUy over.", "target_sentence": "They had stopped running her picture on TV, and most of the missing signs around the neighborhood were gone.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'stopped'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [93.17, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1490-neg", "premise": "All these details result in the three scenes being naturally paralleled to each other. The parallelism itself does not manage to bind the novel's exposition with its denouement by means of the reappearance of the motif in the middle.", "hypothesis": "Binding the novel's exposition with its denouement would take effort.", "label": "N", "metadata": {"context1": "All these details result in", "context2": "the three scenes being naturally paralleled to each other.", "target_sentence": "The parallelism itself does not manage to bind the novel's exposition with its denouement by means of the reappearance of the motif in the middle.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'manages to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["N", "E", "N", "N", "N"], "ratings": [60.27, 100.0, 81.75, 72.74, 52.7]}}
+{"uid": "1490", "premise": "All these details result in the three scenes being naturally paralleled to each other. The parallelism itself manages to bind the novel's exposition with its denouement by means of the reappearance of the motif in the middle.", "hypothesis": "Binding the novel's exposition with its denouement would take effort.", "label": "N", "metadata": {"context1": "All these details result in", "context2": "the three scenes being naturally paralleled to each other.", "target_sentence": "The parallelism itself manages to bind the novel's exposition with its denouement by means of the reappearance of the motif in the middle.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'manages to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["E", "N", "N", "N", "N"], "ratings": [94.26, 64.9, 5.06, 59.98, 24.53]}}
+{"uid": "1492-neg", "premise": "She'd had short stories published in Scribner's Magazine. She had had poems published. But she had dared to allow herself to think of herself as a professional writer.", "hypothesis": "Thinking of herself as a professional writer would take courage.", "label": "E", "metadata": {"context1": "She'd had short stories published in Scribner's Magazine.", "context2": "She had had poems published.", "target_sentence": "But she had dared to allow herself to think of herself as a professional writer.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'dared', 'inference': 'the action takes courage'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [81.64, 95.4, 100.0, 97.3, 97.35]}}
+{"uid": "1492", "premise": "She'd had short stories published in Scribner's Magazine. She had had poems published. But she had never dared to allow herself to think of herself as a professional writer.", "hypothesis": "Thinking of herself as a professional writer would take courage.", "label": "E", "metadata": {"context1": "She'd had short stories published in Scribner's Magazine.", "context2": "She had had poems published.", "target_sentence": "But she had never dared to allow herself to think of herself as a professional writer.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'dared', 'inference': 'the action takes courage'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [99.57, 100.0, 87.56, 100.0, 88.33]}}
+{"uid": "1494", "premise": "M, \" Lotto said. \" It's Christmas. She probably left yesterday for some relative's place, forgot to tell us.", "hypothesis": "She was supposed to tell us that she was going.", "label": "E", "metadata": {"context1": "M, \" Lotto said.", "context2": "\" It's Christmas.", "target_sentence": "She probably left yesterday for some relative's place, forgot to tell us.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'forgot to', 'inference': 'the subject is supposed to take the action'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [99.49, 100.0, 100.0, 97.14, 65.32]}}
+{"uid": "1495-neg", "premise": " His memory was still clogged, so he threw to the recycling fire that bundle of touching love letters with which he had snatched Istina from her former fiance's claws and made her cancel the wedding at the last moment. Those letters that were able to move the stars, as she called them, did not fail to sprout wings on his back and let him soar from the ground, where he lay, his shoulder blade stumps rigid and inert.", "hypothesis": "The letters attempted the effort to sprout wings.", "label": "E", "metadata": {"context1": "", "context2": "His memory was still clogged, so he threw to the recycling fire that bundle of touching love letters with which he had snatched Istina from her former fiance's claws and made her cancel the wedding at the last moment.", "target_sentence": "Those letters that were able to move the stars, as she called them, did not fail to sprout wings on his back and let him soar from the ground, where he lay, his shoulder blade stumps rigid and inert.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["E", "C", "E", "C", "E"], "ratings": [100.0, 0.0, 87.37, 1.08, 100.0]}}
+{"uid": "1495", "premise": " His memory was still clogged, so he threw to the recycling fire that bundle of touching love letters with which he had snatched Istina from her former fiance's claws and made her cancel the wedding at the last moment. Those letters that were able to move the stars, as she called them, failed to sprout wings on his back and let him soar from the ground, where he lay, his shoulder blade stumps rigid and inert.", "hypothesis": "The letters attempted the effort to sprout wings.", "label": "N", "metadata": {"context1": "", "context2": "His memory was still clogged, so he threw to the recycling fire that bundle of touching love letters with which he had snatched Istina from her former fiance's claws and made her cancel the wedding at the last moment.", "target_sentence": "Those letters that were able to move the stars, as she called them, failed to sprout wings on his back and let him soar from the ground, where he lay, his shoulder blade stumps rigid and inert.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["N", "N", "E", "N", "N"], "ratings": [90.24, 50.3, 91.35, 19.4, 50.0]}}
+{"uid": "1496-neg", "premise": "It wouldn't stop barking. \" The man laid the paper beside him on the black metal slats of the bench. Though breathing with difficulty, he did not manage to cough out a few words.", "hypothesis": "Coughing out a few words would take effort for him.", "label": "E", "metadata": {"context1": "It wouldn't stop barking. \"", "context2": "The man laid the paper beside him on the black metal slats of the bench.", "target_sentence": "Though breathing with difficulty, he did not manage to cough out a few words.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.19, 97.88, 89.89, 92.01, 100.0]}}
+{"uid": "1496", "premise": "It wouldn't stop barking. \" The man laid the paper beside him on the black metal slats of the bench. Though breathing with difficulty, he managed to cough out a few words.", "hypothesis": "Coughing out a few words would take effort for him.", "label": "E", "metadata": {"context1": "It wouldn't stop barking. \"", "context2": "The man laid the paper beside him on the black metal slats of the bench.", "target_sentence": "Though breathing with difficulty, he managed to cough out a few words.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [96.49, 100.0, 100.0, 95.21, 100.0]}}
+{"uid": "1497-neg", "premise": "Raised on a Montana ranch, Tad's chores each spring included riding his horse Sundance into the foothills to search for newborn calves. One cold, blustery day, he rode farther than usual, searching high near the tree line. Tad bothered to look up when a strong breeze brought the drone of a distant airplane-not until the sound grew louder.", "hypothesis": "Looking up would require a small effort for Tad.", "label": "N", "metadata": {"context1": "Raised on a Montana ranch, Tad's chores each spring included riding his horse Sundance into the foothills to search for newborn calves.", "context2": "One cold, blustery day, he rode farther than usual, searching high near the tree line.", "target_sentence": "Tad bothered to look up when a strong breeze brought the drone of a distant airplane-not until the sound grew louder.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'bother', 'inference': 'the action requires small effforts'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["N", "N", "E", "N", "N"], "ratings": [69.78, 54.34, 99.43, 2.4, 58.5]}}
+{"uid": "1497", "premise": "Raised on a Montana ranch, Tad's chores each spring included riding his horse Sundance into the foothills to search for newborn calves. One cold, blustery day, he rode farther than usual, searching high near the tree line. Tad didn't bother to look up when a strong breeze brought the drone of a distant airplane-not until the sound grew louder.", "hypothesis": "Looking up would require a small effort for Tad.", "label": "N", "metadata": {"context1": "Raised on a Montana ranch, Tad's chores each spring included riding his horse Sundance into the foothills to search for newborn calves.", "context2": "One cold, blustery day, he rode farther than usual, searching high near the tree line.", "target_sentence": "Tad didn't bother to look up when a strong breeze brought the drone of a distant airplane-not until the sound grew louder.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'bother', 'inference': 'the action requires small effforts'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["N", "N", "N", "N", "E"], "ratings": [65.46, 90.76, 81.18, 70.87, 100.0]}}
+{"uid": "1499-neg", "premise": "June 10, 2016 Beth Nakamura / StaffBeth Nakamura * * All school year, Anderson did not avoid walking down Snyder Hall's southern breezeway while heading to class.", "hypothesis": "It was expected that Anderson would walk down Snyder Hall's southern breezeway while heading to class.", "label": "N", "metadata": {"context1": "June 10, 2016 Beth Nakamura / StaffBeth Nakamura", "context2": "* *", "target_sentence": "All school year, Anderson did not avoid walking down Snyder Hall's southern breezeway while heading to class.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'avoided', 'inference': 'the event was expected from the subject'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["N", "E", "N", "N", "N"], "ratings": [81.06, 100.0, 93.25, 92.09, 36.82]}}
+{"uid": "1499", "premise": "June 10, 2016 Beth Nakamura / StaffBeth Nakamura * * All school year, Anderson avoided walking down Snyder Hall's southern breezeway while heading to class.", "hypothesis": "It was expected that Anderson would walk down Snyder Hall's southern breezeway while heading to class.", "label": "N", "metadata": {"context1": "June 10, 2016 Beth Nakamura / StaffBeth Nakamura", "context2": "* *", "target_sentence": "All school year, Anderson avoided walking down Snyder Hall's southern breezeway while heading to class.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'avoided', 'inference': 'the event was expected from the subject'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["N", "N", "C", "E", "N"], "ratings": [28.86, 23.14, 0.94, 100.0, 36.39]}}
+{"uid": "15-neg", "premise": "Yet Tuesday's revelation shocked the Golden State. It also raises questions about what the future will hold for Schwarzenegger, 63. While he indicated that he does not plan to run for office anytime soon, he has entirely left politics.", "hypothesis": "He was in politics before.", "label": "E", "metadata": {"context1": "Yet Tuesday's revelation shocked the Golden State.", "context2": "It also raises questions about what the future will hold for Schwarzenegger, 63.", "target_sentence": "While he indicated that he does not plan to run for office anytime soon, he has entirely left politics.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'left'}", "trigger_type": "change_of_state", "annotator": "ZZ", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 73.92, 100.0, 98.88, 99.16]}}
+{"uid": "15", "premise": "Yet Tuesday's revelation shocked the Golden State. It also raises questions about what the future will hold for Schwarzenegger, 63. While he indicated that he does not plan to run for office anytime soon, he has not entirely left politics.", "hypothesis": "He was in politics before.", "label": "E", "metadata": {"context1": "Yet Tuesday's revelation shocked the Golden State.", "context2": "It also raises questions about what the future will hold for Schwarzenegger, 63.", "target_sentence": "While he indicated that he does not plan to run for office anytime soon, he has not entirely left politics.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'left'}", "trigger_type": "change_of_state", "annotator": "ZZ", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [99.75, 26.47, 100.0, 100.0, 100.0]}}
+{"uid": "150-neg", "premise": " In the caf the six pay their bill and prepare to leave. Someone washes his hands, others don't endlessly keep putting things on while somebody helps someone else put something on.", "hypothesis": "others were putting things on earlier.", "label": "E", "metadata": {"context1": "", "context2": "In the caf the six pay their bill and prepare to leave.", "target_sentence": "Someone washes his hands, others don't endlessly keep putting things on while somebody helps someone else put something on.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'keep'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "N", "N"], "ratings": [100.0, 98.99, 98.37, 66.31, 34.25]}}
+{"uid": "150", "premise": " In the caf the six pay their bill and prepare to leave. Someone washes his hands, others endlessly keep putting things on while somebody helps someone else put something on.", "hypothesis": "others were putting things on earlier.", "label": "N", "metadata": {"context1": "", "context2": "In the caf the six pay their bill and prepare to leave.", "target_sentence": "Someone washes his hands, others endlessly keep putting things on while somebody helps someone else put something on.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'keep'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["N", "E", "N", "E", "N"], "ratings": [61.29, 100.0, 42.98, 100.0, 91.27]}}
+{"uid": "1500-neg", "premise": "It doesn't matter. I bet if you go back and look, they've been favored in all of them, probably by double digits in most of them, so it's not like it's been two teams that have been pick-'em every year And they have not managed to win every game.", "hypothesis": "Winning every game would take effort for them.", "label": "E", "metadata": {"context1": "It doesn't matter.", "context2": "I bet if you go back and look, they've been favored in all of them, probably by double digits in most of them, so it's not like it's been two teams that have been pick-'em every year", "target_sentence": "And they have not managed to win every game.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 2.86, 95.21, 100.0, 100.0]}}
+{"uid": "1500", "premise": "It doesn't matter. I bet if you go back and look, they've been favored in all of them, probably by double digits in most of them, so it's not like it's been two teams that have been pick-'em every year And they've managed to win every game.", "hypothesis": "Winning every game would take effort for them.", "label": "N", "metadata": {"context1": "It doesn't matter.", "context2": "I bet if you go back and look, they've been favored in all of them, probably by double digits in most of them, so it's not like it's been two teams that have been pick-'em every year", "target_sentence": "And they've managed to win every game.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["N", "N", "E", "N", "E"], "ratings": [23.65, 27.66, 100.0, 27.39, 100.0]}}
+{"uid": "1502-neg", "premise": "GeoVax is a publicly owned company and an Emory University spinoff.  Merck's vaccine did not fail to meet objectives to protect trial participants from HIV infection and appeared to make some people more likely to contract the virus.", "hypothesis": "Merck's vaccine attempted to meet objectives to protect trial participants from HIV infection and appeared to make some people more likely to contract the virus.", "label": "E", "metadata": {"context1": "GeoVax is a publicly owned company and an Emory University spinoff.", "context2": "", "target_sentence": "Merck's vaccine did not fail to meet objectives to protect trial participants from HIV infection and appeared to make some people more likely to contract the virus.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [99.16, 84.93, 100.0, 100.0, 100.0]}}
+{"uid": "1502", "premise": "GeoVax is a publicly owned company and an Emory University spinoff.  Merck's vaccine failed to meet objectives to protect trial participants from HIV infection and appeared to make some people more likely to contract the virus.", "hypothesis": "Merck's vaccine attempted to meet objectives to protect trial participants from HIV infection and appeared to make some people more likely to contract the virus.", "label": "E", "metadata": {"context1": "GeoVax is a publicly owned company and an Emory University spinoff.", "context2": "", "target_sentence": "Merck's vaccine failed to meet objectives to protect trial participants from HIV infection and appeared to make some people more likely to contract the virus.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [99.66, 100.0, 100.0, 100.0, 69.1]}}
+{"uid": "1503-neg", "premise": "After a brief pause the Constructor replied, \" In a way, I am here to protect you. I take it that yours is a civilization not so thoroughly military as that of the Flight Captain. We had to encapsulate his simulation before we put him into storage, and even then he did not manage to break through the capsule and to harm us.", "hypothesis": "Breaking through the capsule would take effort for him.", "label": "N", "metadata": {"context1": "After a brief pause the Constructor replied, \" In a way, I am here to protect you.", "context2": "I take it that yours is a civilization not so thoroughly military as that of the Flight Captain.", "target_sentence": "We had to encapsulate his simulation before we put him into storage, and even then he did not manage to break through the capsule and to harm us.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["E", "N", "N", "E", "N"], "ratings": [95.33, 90.76, 68.41, 96.37, 73.14]}}
+{"uid": "1503", "premise": "After a brief pause the Constructor replied, \" In a way, I am here to protect you. I take it that yours is a civilization not so thoroughly military as that of the Flight Captain. We had to encapsulate his simulation before we put him into storage, and even then he managed to break through the capsule and to harm us.", "hypothesis": "Breaking through the capsule would take effort for him.", "label": "N", "metadata": {"context1": "After a brief pause the Constructor replied, \" In a way, I am here to protect you.", "context2": "I take it that yours is a civilization not so thoroughly military as that of the Flight Captain.", "target_sentence": "We had to encapsulate his simulation before we put him into storage, and even then he managed to break through the capsule and to harm us.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["E", "N", "N", "N", "N"], "ratings": [100.0, 20.22, 34.25, 95.53, 89.89]}}
+{"uid": "1505-neg", "premise": " Lincoln, Nebraska. Despite more than a quarter-million residents, Lincoln does not manage to maintain its hometown feel.", "hypothesis": "Maintaining its hometown feel would take effort for Lincoln.", "label": "E", "metadata": {"context1": "", "context2": "Lincoln, Nebraska.", "target_sentence": "Despite more than a quarter-million residents, Lincoln does not manage to maintain its hometown feel.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'manages to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["E", "E", "N", "N", "E"], "ratings": [92.72, 94.4, 84.18, 75.6, 100.0]}}
+{"uid": "1505", "premise": " Lincoln, Nebraska. Despite more than a quarter-million residents, Lincoln manages to maintain its hometown feel.", "hypothesis": "Maintaining its hometown feel would take effort for Lincoln.", "label": "N", "metadata": {"context1": "", "context2": "Lincoln, Nebraska.", "target_sentence": "Despite more than a quarter-million residents, Lincoln manages to maintain its hometown feel.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'manages to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["E", "N", "N", "N", "N"], "ratings": [99.34, 47.75, 91.68, 59.24, 19.17]}}
+{"uid": "1506-neg", "premise": "Lidia Bastianich The host of Lidia's Italy on PBS and owner of Felidia in New York City shares her mother's recipe for: ASPARAGUS-AND-RICE SOUP Though Lidia Bastianich's mamma, Erminia, was a full-time teacher when the family lived in Italy, she did not always manage to cook for them.", "hypothesis": "Cooking for them took effort.", "label": "E", "metadata": {"context1": "Lidia Bastianich", "context2": "The host of Lidia's Italy on PBS and owner of Felidia in New York City shares her mother's recipe for: ASPARAGUS-AND-RICE SOUP", "target_sentence": "Though Lidia Bastianich's mamma, Erminia, was a full-time teacher when the family lived in Italy, she did not always manage to cook for them.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["E", "E", "N", "N", "E"], "ratings": [90.76, 95.9, 90.5, 94.05, 84.61]}}
+{"uid": "1506", "premise": "Lidia Bastianich The host of Lidia's Italy on PBS and owner of Felidia in New York City shares her mother's recipe for: ASPARAGUS-AND-RICE SOUP Though Lidia Bastianich's mamma, Erminia, was a full-time teacher when the family lived in Italy, she always managed to cook for them.", "hypothesis": "Cooking for them took effort.", "label": "E", "metadata": {"context1": "Lidia Bastianich", "context2": "The host of Lidia's Italy on PBS and owner of Felidia in New York City shares her mother's recipe for: ASPARAGUS-AND-RICE SOUP", "target_sentence": "Though Lidia Bastianich's mamma, Erminia, was a full-time teacher when the family lived in Italy, she always managed to cook for them.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["E", "E", "C", "E", "N"], "ratings": [97.6, 100.0, 0.84, 100.0, 74.18]}}
+{"uid": "1507-neg", "premise": "\"No.\" \"Then why are you chasing me?\" Somehow Harris does not manage to laugh.", "hypothesis": "Laughing would take effort for Harris.", "label": "E", "metadata": {"context1": "\"No.\"", "context2": "\"Then why are you chasing me?\"", "target_sentence": "Somehow Harris does not manage to laugh.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'manages to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["N", "E", "N", "E", "E"], "ratings": [5.95, 96.02, 52.25, 95.59, 100.0]}}
+{"uid": "1507", "premise": "\"No.\" \"Then why are you chasing me?\" Somehow Harris manages to laugh.", "hypothesis": "Laughing would take effort for Harris.", "label": "E", "metadata": {"context1": "\"No.\"", "context2": "\"Then why are you chasing me?\"", "target_sentence": "Somehow Harris manages to laugh.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'manages to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["E", "N", "E", "N", "E"], "ratings": [92.79, 67.85, 96.25, 51.05, 100.0]}}
+{"uid": "1509-neg", "premise": "  Through a Merrill spokesman, Tully did not decline to be interviewed.", "hypothesis": "Tully was asked to be interviewed.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "Through a Merrill spokesman, Tully did not decline to be interviewed.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [99.25, 89.71, 94.68, 100.0, 80.95]}}
+{"uid": "1509", "premise": "  Through a Merrill spokesman, Tully declined to be interviewed.", "hypothesis": "Tully was asked to be interviewed.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "Through a Merrill spokesman, Tully declined to be interviewed.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.75, 99.16, 100.0]}}
+{"uid": "151-neg", "premise": " Giving me a thumbs-up. And then all of the sudden Hugh didn't start coughing in an embarrassing manner.", "hypothesis": "Hugh wasn't coughing in an embarrassing manner earlier.", "label": "E", "metadata": {"context1": "", "context2": "Giving me a thumbs-up.", "target_sentence": "And then all of the sudden Hugh didn't start coughing in an embarrassing manner.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'started'}", "trigger_type": "aspectual_verbs", "annotator": "ZZ", "nli_labels": ["E", "N", "N", "E", "E"], "ratings": [97.3, 15.92, 49.7, 99.43, 99.25]}}
+{"uid": "1510-neg", "premise": " Oops! I did not forget to say that when you begin, you each have thirty-six marbles.", "hypothesis": "I was supposed to say that when you begin, you each have thirty-six marbles.", "label": "E", "metadata": {"context1": "", "context2": "Oops!", "target_sentence": "I did not forget to say that when you begin, you each have thirty-six marbles.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'forgot to', 'inference': 'the subject is supposed to take the action'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["N", "E", "N", "E", "E"], "ratings": [81.41, 100.0, 22.77, 100.0, 99.06]}}
+{"uid": "1510", "premise": " Oops! I forgot to say that when you begin, you each have thirty-six marbles.", "hypothesis": "I was supposed to say that when you begin, you each have thirty-six marbles.", "label": "E", "metadata": {"context1": "", "context2": "Oops!", "target_sentence": "I forgot to say that when you begin, you each have thirty-six marbles.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'forgot to', 'inference': 'the subject is supposed to take the action'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 97.04, 99.12, 100.0]}}
+{"uid": "1511-neg", "premise": "\"It amuses me.\" Jane was uncertain if that amusement stemmed from the tailor or from the near apoplexy he had brought on in Sir Lumley. Her attention was distracted from this question, for, in examining the Prince's coat, she did not happen to spy the glamural beyond him.", "hypothesis": "It was unexpected that she would spy the glamural beyond the Prince.", "label": "N", "metadata": {"context1": "\"It amuses me.\"", "context2": "Jane was uncertain if that amusement stemmed from the tailor or from the near apoplexy he had brought on in Sir Lumley.", "target_sentence": "Her attention was distracted from this question, for, in examining the Prince's coat, she did not happen to spy the glamural beyond him.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'happened to', 'inference': 'the action/state is unexpected'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["N", "N", "C", "E", "N"], "ratings": [22.77, 44.61, 0.0, 100.0, 26.86]}}
+{"uid": "1511", "premise": "\"It amuses me.\" Jane was uncertain if that amusement stemmed from the tailor or from the near apoplexy he had brought on in Sir Lumley. Her attention was distracted from this question, for, in examining the Prince's coat, she happened to spy the glamural beyond him.", "hypothesis": "It was unexpected that she would spy the glamural beyond the Prince.", "label": "N", "metadata": {"context1": "\"It amuses me.\"", "context2": "Jane was uncertain if that amusement stemmed from the tailor or from the near apoplexy he had brought on in Sir Lumley.", "target_sentence": "Her attention was distracted from this question, for, in examining the Prince's coat, she happened to spy the glamural beyond him.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'happened to', 'inference': 'the action/state is unexpected'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["N", "C", "N", "N", "N"], "ratings": [71.81, 0.13, 42.53, 78.09, 25.04]}}
+{"uid": "1513-neg", "premise": "The house blend uses Teflon, uuhich activates tuith wet sand for an extra kick. FIELD TEST: I did not forget to use it on several runs and didn't notice a whole lot of difference, but that's because I was going four feet and falling.", "hypothesis": "I was supposed to to use it on several runs.", "label": "E", "metadata": {"context1": "The house blend uses Teflon, uuhich activates tuith wet sand for an extra kick.", "context2": "FIELD TEST:", "target_sentence": "I did not forget to use it on several runs and didn't notice a whole lot of difference, but that's because I was going four feet and falling.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'forgot to', 'inference': 'the subject is supposed to take the action'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["N", "E", "E", "N", "E"], "ratings": [84.18, 100.0, 100.0, 72.61, 100.0]}}
+{"uid": "1513", "premise": "The house blend uses Teflon, uuhich activates tuith wet sand for an extra kick. FIELD TEST: I forgot to use it on several runs and didn't notice a whole lot of difference, but that's because I was going four feet and falling.", "hypothesis": "I was supposed to to use it on several runs.", "label": "N", "metadata": {"context1": "The house blend uses Teflon, uuhich activates tuith wet sand for an extra kick.", "context2": "FIELD TEST:", "target_sentence": "I forgot to use it on several runs and didn't notice a whole lot of difference, but that's because I was going four feet and falling.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'forgot to', 'inference': 'the subject is supposed to take the action'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["N", "E", "E", "N", "N"], "ratings": [77.48, 97.55, 100.0, 90.67, 91.35]}}
+{"uid": "1514-neg", "premise": " I was amused at criminal defense attorney Phil Cherner's letter (\" Death penalty is morally bankrupt \") attacking capital punishment. Liberal extremists such as Phil do not fail to acknowledge that reasonable and moral people can disagree about the death penalty.", "hypothesis": "Liberal extremists such as Phil attempt to acknowledge that reasonable and moral people can disagree about the death penalty.", "label": "E", "metadata": {"context1": "", "context2": "I was amused at criminal defense attorney Phil Cherner's letter (\" Death penalty is morally bankrupt \") attacking capital punishment.", "target_sentence": "Liberal extremists such as Phil do not fail to acknowledge that reasonable and moral people can disagree about the death penalty.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'fail', 'inference': 'the subject attempts to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [82.32, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1516-neg", "premise": "In the Noels' case, the foundation contacted Kmart. Within a few months the company revised its insurance to cover up to $500,000 annually for inpatient and outpatient care combined. Kmart did not decline to comment.", "hypothesis": "Kmart was asked to comment.", "label": "E", "metadata": {"context1": "In the Noels' case, the foundation contacted Kmart.", "context2": "Within a few months the company revised its insurance to cover up to $500,000 annually for inpatient and outpatient care combined.", "target_sentence": "Kmart did not decline to comment.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.06, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1516", "premise": "In the Noels' case, the foundation contacted Kmart. Within a few months the company revised its insurance to cover up to $500,000 annually for inpatient and outpatient care combined. Kmart declined to comment.", "hypothesis": "Kmart was asked to comment.", "label": "E", "metadata": {"context1": "In the Noels' case, the foundation contacted Kmart.", "context2": "Within a few months the company revised its insurance to cover up to $500,000 annually for inpatient and outpatient care combined.", "target_sentence": "Kmart declined to comment.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.09, 100.0, 96.14, 97.4, 100.0]}}
+{"uid": "1519-neg", "premise": "Or she had, until she heard the sound of someone fumbling with a doorknob. Eyes wide, Fayre almost knocked over a table in her haste to press herself closer to the wall. She did not manage to keep the table upright, but her right knee collided with one of the table legs.", "hypothesis": "Keeping the table upright would take effort.", "label": "E", "metadata": {"context1": "Or she had, until she heard the sound of someone fumbling with a doorknob.", "context2": "Eyes wide, Fayre almost knocked over a table in her haste to press herself closer to the wall.", "target_sentence": "She did not manage to keep the table upright, but her right knee collided with one of the table legs.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["E", "N", "E", "C", "E"], "ratings": [99.43, 87.75, 90.76, 0.57, 100.0]}}
+{"uid": "1519", "premise": "Or she had, until she heard the sound of someone fumbling with a doorknob. Eyes wide, Fayre almost knocked over a table in her haste to press herself closer to the wall. She managed to keep the table upright, but her right knee collided with one of the table legs.", "hypothesis": "Keeping the table upright would take effort.", "label": "E", "metadata": {"context1": "Or she had, until she heard the sound of someone fumbling with a doorknob.", "context2": "Eyes wide, Fayre almost knocked over a table in her haste to press herself closer to the wall.", "target_sentence": "She managed to keep the table upright, but her right knee collided with one of the table legs.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [98.54, 100.0, 99.75, 89.62, 100.0]}}
+{"uid": "1522-neg", "premise": "\" You see how your mind works? I fear you have a grievous fault, Lion. Somehow you have not managed to acquire the instincts of a bygone age.", "hypothesis": "Acquiring the instincts of a bygone age would take effort.", "label": "E", "metadata": {"context1": "\" You see how your mind works?", "context2": "I fear you have a grievous fault, Lion.", "target_sentence": "Somehow you have not managed to acquire the instincts of a bygone age.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["N", "E", "N", "E", "E"], "ratings": [64.75, 99.43, 83.1, 88.42, 98.54]}}
+{"uid": "1522", "premise": "\" You see how your mind works? I fear you have a grievous fault, Lion. Somehow you've managed to acquire the instincts of a bygone age.", "hypothesis": "Acquiring the instincts of a bygone age would take effort.", "label": "N", "metadata": {"context1": "\" You see how your mind works?", "context2": "I fear you have a grievous fault, Lion.", "target_sentence": "Somehow you've managed to acquire the instincts of a bygone age.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["N", "E", "N", "E", "N"], "ratings": [63.32, 97.3, 51.5, 95.27, 78.09]}}
+{"uid": "1524-neg", "premise": "  We did not fail to resurrect our girls with tender thoughts and prayers.", "hypothesis": "We attempted to resurrect our girls with tender thoughts and prayers.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "We did not fail to resurrect our girls with tender thoughts and prayers.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 100.0, 90.24, 99.9, 93.84]}}
+{"uid": "1524", "premise": "  We failed to resurrect our girls with tender thoughts and prayers.", "hypothesis": "We attempted to resurrect our girls with tender thoughts and prayers.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "We failed to resurrect our girls with tender thoughts and prayers.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.83, 100.0, 100.0, 97.98]}}
+{"uid": "1525-neg", "premise": " 50 Regardless of the accuracy of the historical description and the quality of the theoretical model, Homer-Dixon's case studies do not fail to provide an empirical basis for comparison.", "hypothesis": "Homer-Dixon's case studies attempt to provide an empirical basis for comparison.", "label": "E", "metadata": {"context1": "", "context2": "50", "target_sentence": "Regardless of the accuracy of the historical description and the quality of the theoretical model, Homer-Dixon's case studies do not fail to provide an empirical basis for comparison.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'fail', 'inference': 'the subject attempts to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.2, 92.17, 100.0, 100.0, 99.28]}}
+{"uid": "1526-neg", "premise": "Mr-MEDAVOY: \"Amadeus\" came out of Orion. We had four Academy Award-winning movies in that period: \"Platoon \",\" Amadeus \", \"Dances With Wolves\" and \" Silence of the Lambs. Not all four movies mentioned above are really good movies.", "hypothesis": "There are four movies mentioned above.", "label": "E", "metadata": {"context1": "Mr-MEDAVOY: \"Amadeus\" came out of Orion.", "context2": "We had four Academy Award-winning movies in that period: \"Platoon \",\" Amadeus \", \"Dances With Wolves\" and \" Silence of the Lambs.", "target_sentence": "Not all four movies mentioned above are really good movies.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'All'}", "trigger_type": "numeric_determiners", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1526", "premise": "Mr-MEDAVOY: \"Amadeus\" came out of Orion. We had four Academy Award-winning movies in that period: \"Platoon \",\" Amadeus \", \"Dances With Wolves\" and \" Silence of the Lambs. All four movies mentioned above are really good movies.", "hypothesis": "There are four movies mentioned above.", "label": "E", "metadata": {"context1": "Mr-MEDAVOY: \"Amadeus\" came out of Orion.", "context2": "We had four Academy Award-winning movies in that period: \"Platoon \",\" Amadeus \", \"Dances With Wolves\" and \" Silence of the Lambs.", "target_sentence": "All four movies mentioned above are really good movies.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'All'}", "trigger_type": "numeric_determiners", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 99.71]}}
+{"uid": "1527-neg", "premise": "A spray of blood filled the air and the boy shrieked. Venera peered through the blue cloud of gunsmoke. Chaison's would-be assassin was twitching in the air, and both noblemen in the room were not staring past him, at her.", "hypothesis": "There were two noblemen in the room", "label": "E", "metadata": {"context1": "A spray of blood filled the air and the boy shrieked.", "context2": "Venera peered through the blue cloud of gunsmoke.", "target_sentence": "Chaison's would-be assassin was twitching in the air, and both noblemen in the room were not staring past him, at her.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.62, 100.0, 100.0, 100.0, 90.5]}}
+{"uid": "1527", "premise": "A spray of blood filled the air and the boy shrieked. Venera peered through the blue cloud of gunsmoke. Chaison's would-be assassin was twitching in the air, and both noblemen in the room were staring past him, at her.", "hypothesis": "There were two noblemen in the room", "label": "E", "metadata": {"context1": "A spray of blood filled the air and the boy shrieked.", "context2": "Venera peered through the blue cloud of gunsmoke.", "target_sentence": "Chaison's would-be assassin was twitching in the air, and both noblemen in the room were staring past him, at her.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.83, 98.37, 100.0, 98.2]}}
+{"uid": "1528-neg", "premise": "Speaker B: Why not?\nSpeaker A: There were, of course, plenty of reasons why not. Both candidates in the race have not had their share of problems around religious issues and both are well aware that the religious rights, the evangelic movement that Warren is a part of are a powerful voting bloc who have had reservations about both candidates.", "hypothesis": "There are two candidates in the race.", "label": "E", "metadata": {"context1": "Why not?", "context2": "There were, of course, plenty of reasons why not.", "target_sentence": "Both candidates in the race have not had their share of problems around religious issues and both are well aware that the religious rights, the evangelic movement that Warren is a part of are a powerful voting bloc who have had reservations about both candidates.", "speaker_context1": "RICK-WARREN-@1PAST", "speaker_context2": "CYNTHIA-MCFADDEN-@", "speaker_target": "CYNTHIA-MCFADDEN-@", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.85, 100.0, 100.0, 100.0]}}
+{"uid": "1528", "premise": "Speaker B: Why not?\nSpeaker A: There were, of course, plenty of reasons why not. Both candidates in the race have had their share of problems around religious issues and both are well aware that the religious rights, the evangelic movement that Warren is a part of are a powerful voting bloc who have had reservations about both candidates.", "hypothesis": "There are two candidates in the race.", "label": "E", "metadata": {"context1": "Why not?", "context2": "There were, of course, plenty of reasons why not.", "target_sentence": "Both candidates in the race have had their share of problems around religious issues and both are well aware that the religious rights, the evangelic movement that Warren is a part of are a powerful voting bloc who have had reservations about both candidates.", "speaker_context1": "RICK-WARREN-@1PAST", "speaker_context2": "CYNTHIA-MCFADDEN-@", "speaker_target": "CYNTHIA-MCFADDEN-@", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.37, 100.0, 88.42, 100.0]}}
+{"uid": "1530-neg", "premise": " Also ask whether the accreditation is regional or national. Both types of accreditation offered are not recognized by the federal government, but regional accreditation carries more weight with many employers.", "hypothesis": "There are two types of accreditation offered.", "label": "E", "metadata": {"context1": "", "context2": "Also ask whether the accreditation is regional or national.", "target_sentence": "Both types of accreditation offered are not recognized by the federal government, but regional accreditation carries more weight with many employers.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "OA", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 100.0, 100.0, 90.24, 100.0]}}
+{"uid": "1530", "premise": " Also ask whether the accreditation is regional or national. Both types of accreditation offered are recognized by the federal government, but regional accreditation carries more weight with many employers.", "hypothesis": "There are two types of accreditation offered.", "label": "E", "metadata": {"context1": "", "context2": "Also ask whether the accreditation is regional or national.", "target_sentence": "Both types of accreditation offered are recognized by the federal government, but regional accreditation carries more weight with many employers.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 93.76, 100.0, 100.0, 100.0]}}
+{"uid": "1531-neg", "premise": "They carried him unconscious across the tent.  The doctor didn't glare at both of the people carrying the unconscious man.", "hypothesis": "There were two people carrying the unconscious man.", "label": "E", "metadata": {"context1": "They carried him unconscious across the tent.", "context2": "", "target_sentence": "The doctor didn't glare at both of the people carrying the unconscious man.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 99.94]}}
+{"uid": "1531", "premise": "They carried him unconscious across the tent.  The doctor glared at both of the people carrying the unconscious man.", "hypothesis": "There were two people carrying the unconscious man.", "label": "E", "metadata": {"context1": "They carried him unconscious across the tent.", "context2": "", "target_sentence": "The doctor glared at both of the people carrying the unconscious man.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "OA", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [50.9, 100.0, 99.49, 97.45, 100.0]}}
+{"uid": "1534-neg", "premise": "Do it with your hands, \" she urged. Marion was smiling. Both of us were not idiots.", "hypothesis": "There were two of us.", "label": "E", "metadata": {"context1": "Do it with your hands, \" she urged.", "context2": "Marion was smiling.", "target_sentence": "Both of us were not idiots.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "OA", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [96.31, 96.31, 71.41, 100.0, 100.0]}}
+{"uid": "1534", "premise": "Do it with your hands, \" she urged. Marion was smiling. Both of us were, like idiots.", "hypothesis": "There were two of us.", "label": "E", "metadata": {"context1": "Do it with your hands, \" she urged.", "context2": "Marion was smiling.", "target_sentence": "Both of us were, like idiots.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 97.5, 98.41, 100.0]}}
+{"uid": "1536-neg", "premise": " It was hardly their fault. I have doubt that all three of the people we have been discussing are good professional broadcasters.", "hypothesis": "We have been discussing three people.", "label": "E", "metadata": {"context1": "", "context2": "It was hardly their fault.", "target_sentence": "I have doubt that all three of the people we have been discussing are good professional broadcasters.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'all'}", "trigger_type": "numeric_determiners", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.93, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1536", "premise": " It was hardly their fault. I have no doubt that all three of the people we have been discussing are good professional broadcasters.", "hypothesis": "We have been discussing three people.", "label": "E", "metadata": {"context1": "", "context2": "It was hardly their fault.", "target_sentence": "I have no doubt that all three of the people we have been discussing are good professional broadcasters.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'all'}", "trigger_type": "numeric_determiners", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.77, 100.0, 99.85]}}
+{"uid": "154-neg", "premise": "Speaker B: But a war criminal cannot receive honors and money from our college.\nSpeaker A: I appreciate it, Carmelo. I wouldn't like to see who makes that list.", "hypothesis": "Someone will make that list.", "label": "N", "metadata": {"context1": "But a war criminal cannot receive honors and money from our college.", "context2": "I appreciate it, Carmelo.", "target_sentence": "I wouldn't like to see who makes that list.", "speaker_context1": "CINTRON", "speaker_context2": "INGRAHAM", "speaker_target": "INGRAHAM", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'see', 'embedded_question': 'who makes that list'}", "trigger_type": "embedded_question", "annotator": "ZZ", "nli_labels": ["N", "N", "N", "E", "E"], "ratings": [50.45, 63.03, 86.67, 100.0, 89.89]}}
+{"uid": "154", "premise": "Speaker B: But a war criminal cannot receive honors and money from our college.\nSpeaker A: I appreciate it, Carmelo. I'd like to see who makes that list.", "hypothesis": "Someone will make that list.", "label": "N", "metadata": {"context1": "But a war criminal cannot receive honors and money from our college.", "context2": "I appreciate it, Carmelo.", "target_sentence": "I'd like to see who makes that list.", "speaker_context1": "CINTRON", "speaker_context2": "INGRAHAM", "speaker_target": "INGRAHAM", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'see', 'embedded_question': 'who makes that list'}", "trigger_type": "embedded_question", "annotator": "ZZ", "nli_labels": ["N", "E", "E", "N", "N"], "ratings": [80.83, 99.71, 100.0, 49.55, 36.82]}}
+{"uid": "1542-neg", "premise": "Yet we survived. Pop lived to be 88, Mom to 82. Both aunts on my mom's side didn't make it well past 80, and I was 77 on my last birthday.", "hypothesis": "I had two aunts on my mom's side.", "label": "E", "metadata": {"context1": "Yet we survived.", "context2": "Pop lived to be 88, Mom to 82.", "target_sentence": "Both aunts on my mom's side didn't make it well past 80, and I was 77 on my last birthday.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1542", "premise": "Yet we survived. Pop lived to be 88, Mom to 82. Both aunts on my mom's side made it well past 80, and I was 77 on my last birthday.", "hypothesis": "I had two aunts on my mom's side.", "label": "E", "metadata": {"context1": "Yet we survived.", "context2": "Pop lived to be 88, Mom to 82.", "target_sentence": "Both aunts on my mom's side made it well past 80, and I was 77 on my last birthday.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [97.98, 98.81, 99.66, 100.0, 100.0]}}
+{"uid": "1546-neg", "premise": "Speaker A: This is the sixteenth day of the pre-- of the partial government shutdown. It is also the last day for Congress to act before hitting the federal debt ceiling at midnight. Officials from both parties in Congress did not spend all night working on a compromise to reopen the government and raise the debt limit.", "hypothesis": "There are two parties in Congress.", "label": "E", "metadata": {"context1": "This is the sixteenth day of the pre-- of the partial government shutdown.", "context2": "It is also the last day for Congress to act before hitting the federal debt ceiling at midnight.", "target_sentence": "Officials from both parties in Congress did not spend all night working on a compromise to reopen the government and raise the debt limit.", "speaker_context1": "CHARLIE-ROSE", "speaker_context2": "CHARLIE-ROSE", "speaker_target": "CHARLIE-ROSE", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 95.21, 100.0]}}
+{"uid": "1546", "premise": "Speaker A: This is the sixteenth day of the pre-- of the partial government shutdown. It is also the last day for Congress to act before hitting the federal debt ceiling at midnight. Officials from both parties in Congress spent all night working on a compromise to reopen the government and raise the debt limit.", "hypothesis": "There are two parties in Congress.", "label": "E", "metadata": {"context1": "This is the sixteenth day of the pre-- of the partial government shutdown.", "context2": "It is also the last day for Congress to act before hitting the federal debt ceiling at midnight.", "target_sentence": "Officials from both parties in Congress spent all night working on a compromise to reopen the government and raise the debt limit.", "speaker_context1": "CHARLIE-ROSE", "speaker_context2": "CHARLIE-ROSE", "speaker_target": "CHARLIE-ROSE", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 95.14, 100.0, 99.64, 100.0]}}
+{"uid": "155-neg", "premise": "I knew only his absence. Several months ago I went back to Mississippi in search of my father. I knew what I would find after all this time, only that I needed to go.", "hypothesis": "I would find something", "label": "N", "metadata": {"context1": "I knew only his absence.", "context2": "Several months ago I went back to Mississippi in search of my father.", "target_sentence": "I knew what I would find after all this time, only that I needed to go.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'know', 'embedded_question': 'what I would find after all this time'}", "trigger_type": "embedded_question", "annotator": "ZZ", "nli_labels": ["N", "E", "N", "N", "N"], "ratings": [85.45, 100.0, 83.86, 78.09, 85.35]}}
+{"uid": "155", "premise": "I knew only his absence. Several months ago I went back to Mississippi in search of my father. I didn't know what I would find after all this time, only that I needed to go.", "hypothesis": "I would find something", "label": "N", "metadata": {"context1": "I knew only his absence.", "context2": "Several months ago I went back to Mississippi in search of my father.", "target_sentence": "I didn't know what I would find after all this time, only that I needed to go.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'know', 'embedded_question': 'what I would find after all this time'}", "trigger_type": "embedded_question", "annotator": "ZZ", "nli_labels": ["N", "E", "N", "N", "E"], "ratings": [64.75, 100.0, 51.65, 50.0, 100.0]}}
+{"uid": "1550-neg", "premise": "GREG VALLIERE: Well, I think this sort of looks like NAFTA and GATT did at the early stages. Both of the major trade agreements that were passed in recent years didn't look like they might not make it, and with extraordinary arm twisting and lobbying, we got both.", "hypothesis": "There were two major trade agreements passed in recent years.", "label": "E", "metadata": {"context1": "GREG VALLIERE:", "context2": "Well, I think this sort of looks like NAFTA and GATT did at the early stages.", "target_sentence": "Both of the major trade agreements that were passed in recent years didn't look like they might not make it, and with extraordinary arm twisting and lobbying, we got both.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1550", "premise": "GREG VALLIERE: Well, I think this sort of looks like NAFTA and GATT did at the early stages. Both of the major trade agreements that were passed in recent years looked like they might not make it, and with extraordinary arm twisting and lobbying, we got both.", "hypothesis": "There were two major trade agreements passed in recent years.", "label": "E", "metadata": {"context1": "GREG VALLIERE:", "context2": "Well, I think this sort of looks like NAFTA and GATT did at the early stages.", "target_sentence": "Both of the major trade agreements that were passed in recent years looked like they might not make it, and with extraordinary arm twisting and lobbying, we got both.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 99.25, 100.0]}}
+{"uid": "1554-neg", "premise": "Data: Nicknames abound for UCLA's three starting guards, Blue, Quinn and Willis: \" The Big Three, \" \" The Triple Threat. All three of UCLA's starting guards didn't make first team all-conference.", "hypothesis": "UCLA has three starting guards.", "label": "E", "metadata": {"context1": "Data: Nicknames abound for UCLA's three starting guards, Blue, Quinn and Willis: \"", "context2": "The Big Three, \" \" The Triple Threat.", "target_sentence": "All three of UCLA's starting guards didn't make first team all-conference.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'All'}", "trigger_type": "numeric_determiners", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 99.22, 100.0]}}
+{"uid": "1554", "premise": "Data: Nicknames abound for UCLA's three starting guards, Blue, Quinn and Willis: \" The Big Three, \" \" The Triple Threat. All three of UCLA's starting guards made first team all-conference.", "hypothesis": "UCLA has three starting guards.", "label": "E", "metadata": {"context1": "Data: Nicknames abound for UCLA's three starting guards, Blue, Quinn and Willis: \"", "context2": "The Big Three, \" \" The Triple Threat.", "target_sentence": "All three of UCLA's starting guards made first team all-conference.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'All'}", "trigger_type": "numeric_determiners", "annotator": "OA", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [99.75, 93.91, 100.0, 100.0, 100.0]}}
+{"uid": "1556-neg", "premise": "After her brief response, he turns away, though line 34 indicates she has not said all she needs to say. The Troubles Delwar Divined  Analyzing videotapes I made of the diviner Delwar Kari in 1996 and comparing them with those I had shot in 1992 uncovered both continuities and contrasts. Both sets of tapes I revisited do not reveal a formulaic declamation of the results of a numerological sort of calculation process, one that he has kept shrouded in mystery.", "hypothesis": "There are two sets of tapes I revisited.", "label": "E", "metadata": {"context1": "After her brief response, he turns away, though line 34 indicates she has not said all she needs to say.", "context2": "The Troubles Delwar Divined  Analyzing videotapes I made of the diviner Delwar Kari in 1996 and comparing them with those I had shot in 1992 uncovered both continuities and contrasts.", "target_sentence": "Both sets of tapes I revisited do not reveal a formulaic declamation of the results of a numerological sort of calculation process, one that he has kept shrouded in mystery.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.37, 97.09, 100.0, 100.0, 98.29]}}
+{"uid": "1556", "premise": "After her brief response, he turns away, though line 34 indicates she has not said all she needs to say. The Troubles Delwar Divined  Analyzing videotapes I made of the diviner Delwar Kari in 1996 and comparing them with those I had shot in 1992 uncovered both continuities and contrasts. Both sets of tapes I revisited reveal a formulaic declamation of the results of a numerological sort of calculation process, one that he has kept shrouded in mystery.", "hypothesis": "There are two sets of tapes I revisited.", "label": "E", "metadata": {"context1": "After her brief response, he turns away, though line 34 indicates she has not said all she needs to say.", "context2": "The Troubles Delwar Divined  Analyzing videotapes I made of the diviner Delwar Kari in 1996 and comparing them with those I had shot in 1992 uncovered both continuities and contrasts.", "target_sentence": "Both sets of tapes I revisited reveal a formulaic declamation of the results of a numerological sort of calculation process, one that he has kept shrouded in mystery.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.37, 100.0, 100.0, 100.0, 99.37]}}
+{"uid": "1557-neg", "premise": "Usually, female crabs comprise 70-80 percent of the catch. Females average 15.5 cm across the widest part of the carapace and males, 16.5 cm. Wholesalers do not buy both sexes of crabs but prefer males because they contain more meat and, in the 1980's, they brought as much as $10 a bushel more than females when sold separately (MacKenzie, 1988).", "hypothesis": "There are two sexes of crabs.", "label": "E", "metadata": {"context1": "Usually, female crabs comprise 70-80 percent of the catch.", "context2": "Females average 15.5 cm across the widest part of the carapace and males, 16.5 cm.", "target_sentence": "Wholesalers do not buy both sexes of crabs but prefer males because they contain more meat and, in the 1980's, they brought as much as $10 a bushel more than females when sold separately (MacKenzie, 1988).", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1557", "premise": "Usually, female crabs comprise 70-80 percent of the catch. Females average 15.5 cm across the widest part of the carapace and males, 16.5 cm. Wholesalers buy both sexes of crabs but prefer males because they contain more meat and, in the 1980's, they brought as much as $10 a bushel more than females when sold separately (MacKenzie, 1988).", "hypothesis": "There are two sexes of crabs.", "label": "E", "metadata": {"context1": "Usually, female crabs comprise 70-80 percent of the catch.", "context2": "Females average 15.5 cm across the widest part of the carapace and males, 16.5 cm.", "target_sentence": "Wholesalers buy both sexes of crabs but prefer males because they contain more meat and, in the 1980's, they brought as much as $10 a bushel more than females when sold separately (MacKenzie, 1988).", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.02, 99.37, 100.0, 100.0, 100.0]}}
+{"uid": "1558-neg", "premise": " The paramedics immobilized Matt's neck with a hard cervical collar, splinted his left leg, and placed him on a backboard. Two large bore IV lines were not started in both antecubital spaces on the patient's body, and normal saline (NS) solution was run wide open.", "hypothesis": "There were two antecubital spaces on the patient's body.", "label": "E", "metadata": {"context1": "", "context2": "The paramedics immobilized Matt's neck with a hard cervical collar, splinted his left leg, and placed him on a backboard.", "target_sentence": "Two large bore IV lines were not started in both antecubital spaces on the patient's body, and normal saline (NS) solution was run wide open.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "OA", "nli_labels": ["E", "E", "C", "E", "E"], "ratings": [100.0, 100.0, 1.08, 99.46, 100.0]}}
+{"uid": "1558", "premise": " The paramedics immobilized Matt's neck with a hard cervical collar, splinted his left leg, and placed him on a backboard. Two large bore IV lines were started in both antecubital spaces on the patient's body, and normal saline (NS) solution was run wide open.", "hypothesis": "There were two antecubital spaces on the patient's body.", "label": "E", "metadata": {"context1": "", "context2": "The paramedics immobilized Matt's neck with a hard cervical collar, splinted his left leg, and placed him on a backboard.", "target_sentence": "Two large bore IV lines were started in both antecubital spaces on the patient's body, and normal saline (NS) solution was run wide open.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.06, 97.25, 100.0, 100.0, 100.0]}}
+{"uid": "1559-neg", "premise": "MARGARET-WARNER: All right. Now staying with you, Bob Zoellick, for a moment, both sides of the debate have not been talking about this charter.", "hypothesis": "There are two sides of the debate.", "label": "E", "metadata": {"context1": "MARGARET-WARNER:", "context2": "All right.", "target_sentence": "Now staying with you, Bob Zoellick, for a moment, both sides of the debate have not been talking about this charter.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 98.69, 100.0, 98.5]}}
+{"uid": "1559", "premise": "MARGARET-WARNER: All right. Now staying with you, Bob Zoellick, for a moment, both sides of the debate have been talking about this charter.", "hypothesis": "There are two sides of the debate.", "label": "E", "metadata": {"context1": "MARGARET-WARNER:", "context2": "All right.", "target_sentence": "Now staying with you, Bob Zoellick, for a moment, both sides of the debate have been talking about this charter.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "OA", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 100.0, 100.0, 55.39, 100.0]}}
+{"uid": "1560-neg", "premise": "YOUR MOM WAS PRO-LIFE? Down the road an Ithaca College senior with a button reading FIGHT FOR WORKING WOMEN'S RIGHTS pinned brashly to the zipper of his jeans barks out, \"To force any woman to bear a child against her will is slavery.\" In Buffalo, where some 1,000 protesters sporadically turned Main Street into a battlefield two weeks ago, it is apparent that in the passionately contested war over the so-called women's issue of abortion, men--not just high-profile religious leaders but angry fathers, brothers and boyfriends--are not among the most zealous warriors on both sides of hte battle.", "hypothesis": "There are two sides of the battle.", "label": "E", "metadata": {"context1": "YOUR MOM WAS PRO-LIFE?", "context2": "Down the road an Ithaca College senior with a button reading FIGHT FOR WORKING WOMEN'S RIGHTS pinned brashly to the zipper of his jeans barks out, \"To force any woman to bear a child against her will is slavery.\"", "target_sentence": "In Buffalo, where some 1,000 protesters sporadically turned Main Street into a battlefield two weeks ago, it is apparent that in the passionately contested war over the so-called women's issue of abortion, men--not just high-profile religious leaders but angry fathers, brothers and boyfriends--are not among the most zealous warriors on both sides of hte battle.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.37, 100.0, 100.0, 100.0]}}
+{"uid": "1560", "premise": "YOUR MOM WAS PRO-LIFE? Down the road an Ithaca College senior with a button reading FIGHT FOR WORKING WOMEN'S RIGHTS pinned brashly to the zipper of his jeans barks out, \"To force any woman to bear a child against her will is slavery.\" In Buffalo, where some 1,000 protesters sporadically turned Main Street into a battlefield two weeks ago, it is apparent that in the passionately contested war over the so-called women's issue of abortion, men--not just high-profile religious leaders but angry fathers, brothers and boyfriends--are among the most zealous warriors on both sides of the battle.", "hypothesis": "There are two sides of the battle.", "label": "E", "metadata": {"context1": "YOUR MOM WAS PRO-LIFE?", "context2": "Down the road an Ithaca College senior with a button reading FIGHT FOR WORKING WOMEN'S RIGHTS pinned brashly to the zipper of his jeans barks out, \"To force any woman to bear a child against her will is slavery.\"", "target_sentence": "In Buffalo, where some 1,000 protesters sporadically turned Main Street into a battlefield two weeks ago, it is apparent that in the passionately contested war over the so-called women's issue of abortion, men--not just high-profile religious leaders but angry fathers, brothers and boyfriends--are among the most zealous warriors on both sides of the battle.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1562-neg", "premise": "Dynamic Duo Barring foul trouble, Jackson rarely has Pippen and Jordan out of the game simultaneously. Both the players who are Jackson's favorites do not usually play the entire first quarter, then Jordan takes a rest.", "hypothesis": "There are two players who are Jackon's favorites.", "label": "E", "metadata": {"context1": "Dynamic Duo", "context2": "Barring foul trouble, Jackson rarely has Pippen and Jordan out of the game simultaneously.", "target_sentence": "Both the players who are Jackson's favorites do not usually play the entire first quarter, then Jordan takes a rest.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "OA", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [99.46, 98.29, 18.59, 100.0, 100.0]}}
+{"uid": "1562", "premise": "Dynamic Duo Barring foul trouble, Jackson rarely has Pippen and Jordan out of the game simultaneously. Both the players who are Jackson's favorites usually play the entire first quarter, then Jordan takes a rest.", "hypothesis": "There are two players who are Jackon's favorites.", "label": "E", "metadata": {"context1": "Dynamic Duo", "context2": "Barring foul trouble, Jackson rarely has Pippen and Jordan out of the game simultaneously.", "target_sentence": "Both the players who are Jackson's favorites usually play the entire first quarter, then Jordan takes a rest.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 96.14, 100.0, 99.71]}}
+{"uid": "1563-neg", "premise": "This behavior was selected by 38 percent of the Le Moyne students. ( It was selected by 45 percent of the Kilgore students and ranked first. ) That this behavior did not rank high in both studies on this topic did not surprise me.", "hypothesis": "There are two studies on this topic.", "label": "E", "metadata": {"context1": "This behavior was selected by 38 percent of the Le Moyne students.", "context2": "( It was selected by 45 percent of the Kilgore students and ranked first. )", "target_sentence": "That this behavior did not rank high in both studies on this topic did not surprise me.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [95.65, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1563", "premise": "This behavior was selected by 38 percent of the Le Moyne students. ( It was selected by 45 percent of the Kilgore students and ranked first. ) That this behavior ranked high in both studies on this topic did not surprise me.", "hypothesis": "There are two studies on this topic.", "label": "E", "metadata": {"context1": "This behavior was selected by 38 percent of the Le Moyne students.", "context2": "( It was selected by 45 percent of the Kilgore students and ranked first. )", "target_sentence": "That this behavior ranked high in both studies on this topic did not surprise me.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.62, 100.0, 100.0, 100.0]}}
+{"uid": "1568-neg", "premise": "And, frankly, we don't know that answer, but we've been avoiding that question. But now we have a lot more evidence of long-term persistence and long-term damage. And so that question has not resurfaced now.", "hypothesis": "The question had surfaced previously.", "label": "E", "metadata": {"context1": "And, frankly, we don't know that answer, but we've been avoiding that question.", "context2": "But now we have a lot more evidence of long-term persistence and long-term damage.", "target_sentence": "And so that question has not resurfaced now.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'resurfaced'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["N", "E", "N", "E", "E"], "ratings": [82.2, 99.73, 85.66, 100.0, 100.0]}}
+{"uid": "1568", "premise": "And, frankly, we don't know that answer, but we've been avoiding that question. But now we have a lot more evidence of long-term persistence and long-term damage. And so that question has resurfaced now.", "hypothesis": "The question had surfaced previously.", "label": "E", "metadata": {"context1": "And, frankly, we don't know that answer, but we've been avoiding that question.", "context2": "But now we have a lot more evidence of long-term persistence and long-term damage.", "target_sentence": "And so that question has resurfaced now.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'resurfaced'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.31, 100.0, 97.5, 100.0, 100.0]}}
+{"uid": "1569", "premise": "And with every new episode, the tapestry will grow...reaching 250 feet in length by the end of the show.  The medieval tapestry was created over three months to commemorate Game of Thrones first six seasons; each key scene and character from the show has been recreated and designed by artists and illustrators, then hand-woven and hand-embroidered into the design using linen from one of Northern Ireland's last surviving linen mills.", "hypothesis": "Each key scene and character from the show was created previously.", "label": "E", "metadata": {"context1": "And with every new episode, the tapestry will grow...reaching 250 feet in length by the end of the show.", "context2": "", "target_sentence": "The medieval tapestry was created over three months to commemorate Game of Thrones first six seasons; each key scene and character from the show has been recreated and designed by artists and illustrators, then hand-woven and hand-embroidered into the design using linen from one of Northern Ireland's last surviving linen mills.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'recreated'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["E", "N", "E", "C", "E"], "ratings": [100.0, 91.84, 100.0, 0.0, 100.0]}}
+{"uid": "1571-neg", "premise": " Yeah SCHORR And we did not reinstall Democracy and now Democracy evidences itself in Panamanians being angry at the yankees up here for the invasion of Panama SIMON", "hypothesis": "Democracy was installed previously in Panama.", "label": "E", "metadata": {"context1": "", "context2": "Yeah SCHORR", "target_sentence": "And we did not reinstall Democracy and now Democracy evidences itself in Panamanians being angry at the yankees up here for the invasion of Panama SIMON", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reinstalled'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [100.0, 95.33, 99.31, 100.0, 90.5]}}
+{"uid": "1571", "premise": " Yeah SCHORR And we reinstalled Democracy and now Democracy evidences itself in Panamanians being angry at the yankees up here for the invasion of Panama SIMON", "hypothesis": "Democracy was installed previously in Panama.", "label": "E", "metadata": {"context1": "", "context2": "Yeah SCHORR", "target_sentence": "And we reinstalled Democracy and now Democracy evidences itself in Panamanians being angry at the yankees up here for the invasion of Panama SIMON", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reinstalled'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1572-neg", "premise": "RUGS  Best known for its blankets, Pendleton has not been reinterpreting American Indian motifs for more than a century.", "hypothesis": "American Indian motifs were interpreted previously.", "label": "E", "metadata": {"context1": "RUGS", "context2": "", "target_sentence": "Best known for its blankets, Pendleton has not been reinterpreting American Indian motifs for more than a century.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reinterpreting'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 100.0, 100.0, 72.34, 100.0]}}
+{"uid": "1572", "premise": "RUGS  Best known for its blankets, Pendleton has been reinterpreting American Indian motifs for more than a century.", "hypothesis": "American Indian motifs were interpreted previously.", "label": "E", "metadata": {"context1": "RUGS", "context2": "", "target_sentence": "Best known for its blankets, Pendleton has been reinterpreting American Indian motifs for more than a century.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reinterpreting'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [98.88, 99.59, 66.31, 100.0, 97.79]}}
+{"uid": "1574-neg", "premise": "If a program won't quit normally, terminate it by right-clicking it and selecting Kill Process. For Web browsers, shutting off all instances usually works. As a last resort, do not restart your system.", "hypothesis": "The system was started previously.", "label": "E", "metadata": {"context1": "If a program won't quit normally, terminate it by right-clicking it and selecting Kill Process.", "context2": "For Web browsers, shutting off all instances usually works.", "target_sentence": "As a last resort, do not restart your system.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'restart'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 98.65, 98.54, 97.04, 100.0]}}
+{"uid": "1574", "premise": "If a program won't quit normally, terminate it by right-clicking it and selecting Kill Process. For Web browsers, shutting off all instances usually works. As a last resort, restart your system.", "hypothesis": "The system was started previously.", "label": "N", "metadata": {"context1": "If a program won't quit normally, terminate it by right-clicking it and selecting Kill Process.", "context2": "For Web browsers, shutting off all instances usually works.", "target_sentence": "As a last resort, restart your system.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'restart'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["E", "N", "N", "N", "E"], "ratings": [96.08, 67.71, 14.65, 95.08, 100.0]}}
+{"uid": "1578", "premise": "Total disposable personal income will be $5.1 trillion, up 3.2% after inflation. Altogether, a step in the right direction. The economy regained momentum this spring, after GDP growth slumped to a 0.9% rate in the first quarter.", "hypothesis": "The economy gained momentum at some point before this spring.", "label": "E", "metadata": {"context1": "Total disposable personal income will be $5.1 trillion, up 3.2% after inflation.", "context2": "Altogether, a step in the right direction.", "target_sentence": "The economy regained momentum this spring, after GDP growth slumped to a 0.9% rate in the first quarter.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'regained'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "C"], "ratings": [100.0, 97.74, 100.0, 100.0, 0.0]}}
+{"uid": "1581-neg", "premise": " Write a poem (or take a poem you have already written on the topic) about love. Then don't rewrite it, substituting words having to do with politics for the words of love.", "hypothesis": "Your poem will have been written by then.", "label": "N", "metadata": {"context1": "", "context2": "Write a poem (or take a poem you have already written on the topic) about love.", "target_sentence": "Then don't rewrite it, substituting words having to do with politics for the words of love.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'rewrite'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["E", "E", "N", "N", "N"], "ratings": [98.5, 85.86, 49.1, 90.15, 62.89]}}
+{"uid": "1581", "premise": " Write a poem (or take a poem you have already written on the topic) about love. Then rewrite it, substituting words having to do with politics for the words of love.", "hypothesis": "Your poem will have been written by then.", "label": "N", "metadata": {"context1": "", "context2": "Write a poem (or take a poem you have already written on the topic) about love.", "target_sentence": "Then rewrite it, substituting words having to do with politics for the words of love.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'rewrite'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [52.4, 90.85, 82.32, 57.91, 95.08]}}
+{"uid": "1582-neg", "premise": "The Virginia Company declined his offer, but by then had implemented his earlier recommendations. Smith never returned to the colonies. He was not reunited with Pocahontas, now a celebrity Jamestown wife and mother, though she was fatally ill, during 1617 in London.", "hypothesis": "He had been united with Pocahontas before.", "label": "N", "metadata": {"context1": "The Virginia Company declined his offer, but by then had implemented his earlier recommendations.", "context2": "Smith never returned to the colonies.", "target_sentence": "He was not reunited with Pocahontas, now a celebrity Jamestown wife and mother, though she was fatally ill, during 1617 in London.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reunited'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["N", "N", "N", "E", "E"], "ratings": [84.82, 50.3, 33.97, 100.0, 100.0]}}
+{"uid": "1582", "premise": "The Virginia Company declined his offer, but by then had implemented his earlier recommendations. Smith never returned to the colonies. He was reunited with Pocahontas, now a celebrity Jamestown wife and mother, though she was fatally ill, during 1617 in London.", "hypothesis": "He had been united with Pocahontas before.", "label": "E", "metadata": {"context1": "The Virginia Company declined his offer, but by then had implemented his earlier recommendations.", "context2": "Smith never returned to the colonies.", "target_sentence": "He was reunited with Pocahontas, now a celebrity Jamestown wife and mother, though she was fatally ill, during 1617 in London.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reunited'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 9.07, 100.0, 100.0, 100.0]}}
+{"uid": "1583-neg", "premise": "There are plans to market the album via the Internet. In typical Yankee fashion, a Newport, Maine, florist found a novel way to grow her business after moving into an old bank building. The place had a driveup window, so Carol Charters did not reopen it with a few modifications.", "hypothesis": "The driveup window was open before.", "label": "E", "metadata": {"context1": "There are plans to market the album via the Internet.", "context2": "In typical Yankee fashion, a Newport, Maine, florist found a novel way to grow her business after moving into an old bank building.", "target_sentence": "The place had a driveup window, so Carol Charters did not reopen it with a few modifications.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reopened'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.92, 100.0, 100.0, 99.88, 84.61]}}
+{"uid": "1583", "premise": "There are plans to market the album via the Internet. In typical Yankee fashion, a Newport, Maine, florist found a novel way to grow her business after moving into an old bank building. The place had a driveup window, so Carol Charters reopened it-with a few modifications.", "hypothesis": "The driveup window was open before.", "label": "E", "metadata": {"context1": "There are plans to market the album via the Internet.", "context2": "In typical Yankee fashion, a Newport, Maine, florist found a novel way to grow her business after moving into an old bank building.", "target_sentence": "The place had a driveup window, so Carol Charters reopened it-with a few modifications.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reopened'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.4, 100.0, 99.83]}}
+{"uid": "1584-neg", "premise": "Parliament member Wael Abu-Faour says this latest war may prove to be too much, even for the famously resilient Lebanese. Mr-ABU-FAOUR: It's over. We cannot rebuild the country.", "hypothesis": "The country was built before.", "label": "E", "metadata": {"context1": "Parliament member Wael Abu-Faour says this latest war may prove to be too much, even for the famously resilient Lebanese.", "context2": "Mr-ABU-FAOUR: It's over.", "target_sentence": "We cannot rebuild the country.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'rebuild'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [94.94, 100.0, 4.92, 98.07, 99.46]}}
+{"uid": "1584", "premise": "Parliament member Wael Abu-Faour says this latest war may prove to be too much, even for the famously resilient Lebanese. Mr-ABU-FAOUR: It's over. We can rebuild the country.", "hypothesis": "The country was built before.", "label": "E", "metadata": {"context1": "Parliament member Wael Abu-Faour says this latest war may prove to be too much, even for the famously resilient Lebanese.", "context2": "Mr-ABU-FAOUR: It's over.", "target_sentence": "We can rebuild the country.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'rebuild'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [99.85, 100.0, 99.25, 100.0, 85.76]}}
+{"uid": "1585-neg", "premise": "In 1945, after more than 900 missions, he crashed near Munich and nearly burned to death. He underwent more than 70 operations to repair his face. In 1955, he rejoined the German Air Force and later became chief of staff of the Allied Air Forces in Central Europe.", "hypothesis": "He joined the German Air Force before 1955.", "label": "E", "metadata": {"context1": "In 1945, after more than 900 missions, he crashed near Munich and nearly burned to death.", "context2": "He underwent more than 70 operations to repair his face.", "target_sentence": "In 1955, he rejoined the German Air Force and later became chief of staff of the Allied Air Forces in Central Europe.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'rejoined'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "C", "E"], "ratings": [100.0, 100.0, 99.51, 0.0, 99.91]}}
+{"uid": "1585", "premise": "In 1945, after more than 900 missions, he crashed near Munich and nearly burned to death. He underwent more than 70 operations to repair his face. In 1955, he rejoined the German Air Force and later became chief of staff of the Allied Air Forces in Central Europe.", "hypothesis": "He joined the German Air Force before 1955.", "label": "E", "metadata": {"context1": "In 1945, after more than 900 missions, he crashed near Munich and nearly burned to death.", "context2": "He underwent more than 70 operations to repair his face.", "target_sentence": "In 1955, he rejoined the German Air Force and later became chief of staff of the Allied Air Forces in Central Europe.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'rejoined'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 98.54, 100.0]}}
+{"uid": "1586-neg", "premise": " After that, Horn set out on his own and worked as an independent producer. About 1983, Horn said, he did not rejoin Motown for the job security and benefits he thought he needed for his family.", "hypothesis": "Horn had joined Motown at some point before 1983.", "label": "N", "metadata": {"context1": "", "context2": "After that, Horn set out on his own and worked as an independent producer.", "target_sentence": "About 1983, Horn said, he did not rejoin Motown for the job security and benefits he thought he needed for his family.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'rejoined'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["N", "N", "E", "E", "N"], "ratings": [64.61, 55.69, 100.0, 92.95, 86.87]}}
+{"uid": "1586", "premise": " After that, Horn set out on his own and worked as an independent producer. About 1983, Horn said, he rejoined Motown for the job security and benefits he thought he needed for his family.", "hypothesis": "Horn had joined Motown at some point before 1983.", "label": "E", "metadata": {"context1": "", "context2": "After that, Horn set out on his own and worked as an independent producer.", "target_sentence": "About 1983, Horn said, he rejoined Motown for the job security and benefits he thought he needed for his family.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'rejoined'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [99.4, 16.25, 100.0, 100.0, 100.0]}}
+{"uid": "1587-neg", "premise": "It all started in the city of Fallujah, 40 miles west of Baghdad, in November of 2004. For weeks, Marines pounded the city in one of the most violent encounters with insurgents in the war. U.S. troops did not eventually regain control of the city--then, two days before Christmas, a day Workman will never forget.", "hypothesis": "Control of the city had been gained previously.", "label": "E", "metadata": {"context1": "It all started in the city of Fallujah, 40 miles west of Baghdad, in November of 2004.", "context2": "For weeks, Marines pounded the city in one of the most violent encounters with insurgents in the war.", "target_sentence": "U.S. troops did not eventually regain control of the city--then, two days before Christmas, a day Workman will never forget.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'regained'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 98.41, 98.54]}}
+{"uid": "1587", "premise": "It all started in the city of Fallujah, 40 miles west of Baghdad, in November of 2004. For weeks, Marines pounded the city in one of the most violent encounters with insurgents in the war. U.S. troops eventually regained control of the city--then, two days before Christmas, a day Workman will never forget.", "hypothesis": "Control of the city had been gained previously.", "label": "E", "metadata": {"context1": "It all started in the city of Fallujah, 40 miles west of Baghdad, in November of 2004.", "context2": "For weeks, Marines pounded the city in one of the most violent encounters with insurgents in the war.", "target_sentence": "U.S. troops eventually regained control of the city--then, two days before Christmas, a day Workman will never forget.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'regained'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [96.93, 98.69, 100.0, 100.0, 92.87]}}
+{"uid": "1588-neg", "premise": "  The AHA has not regained some respectability by tearing down crime-ridden, substandard projects and replacing them with housing complexes for the poor and middle class.", "hypothesis": "The AHA had gained respectability before.", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "The AHA has not regained some respectability by tearing down crime-ridden, substandard projects and replacing them with housing complexes for the poor and middle class.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'regained'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [10.11, 9.33, 73.27, 75.98, 81.18]}}
+{"uid": "1588", "premise": "  The AHA has regained some respectability by tearing down crime-ridden, substandard projects and replacing them with housing complexes for the poor and middle class.", "hypothesis": "The AHA had gained respectability before.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "The AHA has regained some respectability by tearing down crime-ridden, substandard projects and replacing them with housing complexes for the poor and middle class.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'regained'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [90.24, 99.51, 100.0, 97.04, 24.4]}}
+{"uid": "1589-neg", "premise": "For all of them, time is fading fast. In Mosul, Dominic DiNatale, Fox News. The Holocaust Museum has not reopened after a day of mourning for the security guard killed by white supremacist James Von Brunn.", "hypothesis": "The Holocaust Museum was open before the killing.", "label": "E", "metadata": {"context1": "For all of them, time is fading fast.", "context2": "In Mosul, Dominic DiNatale, Fox News.", "target_sentence": "The Holocaust Museum has not reopened after a day of mourning for the security guard killed by white supremacist James Von Brunn.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reopened'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 99.54, 100.0]}}
+{"uid": "1589", "premise": "For all of them, time is fading fast. In Mosul, Dominic DiNatale, Fox News. The Holocaust Museum has reopened after a day of mourning for the security guard killed by white supremacist James Von Brunn.", "hypothesis": "The Holocaust Museum was open before the killing.", "label": "E", "metadata": {"context1": "For all of them, time is fading fast.", "context2": "In Mosul, Dominic DiNatale, Fox News.", "target_sentence": "The Holocaust Museum has reopened after a day of mourning for the security guard killed by white supremacist James Von Brunn.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reopened'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.19, 99.25, 90.5, 100.0, 100.0]}}
+{"uid": "1590-neg", "premise": "Placing Philip's glass in the freezer to chill, she poured herself some vintage cabernet sauvignon. She picked up the New York Times and arranged herself on the couch in front of the bay window to await his arrival. // Viviana did not reread the front-page article about Philip's takeover bid for Consolidated and felt a glow of pride.", "hypothesis": "Viviana had read the front-page article about Philip's takeover bid already.", "label": "E", "metadata": {"context1": "Placing Philip's glass in the freezer to chill, she poured herself some vintage cabernet sauvignon.", "context2": "She picked up the New York Times and arranged herself on the couch in front of the bay window to await his arrival. //", "target_sentence": "Viviana did not reread the front-page article about Philip's takeover bid for Consolidated and felt a glow of pride.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reread'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.22, 95.27, 100.0, 100.0, 100.0]}}
+{"uid": "1590", "premise": "Placing Philip's glass in the freezer to chill, she poured herself some vintage cabernet sauvignon. She picked up the New York Times and arranged herself on the couch in front of the bay window to await his arrival. // Viviana reread the front-page article about Philip's takeover bid for Consolidated and felt a glow of pride.", "hypothesis": "Viviana had read the front-page article about Philip's takeover bid already.", "label": "E", "metadata": {"context1": "Placing Philip's glass in the freezer to chill, she poured herself some vintage cabernet sauvignon.", "context2": "She picked up the New York Times and arranged herself on the couch in front of the bay window to await his arrival. //", "target_sentence": "Viviana reread the front-page article about Philip's takeover bid for Consolidated and felt a glow of pride.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reread'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["C", "E", "E", "E", "E"], "ratings": [1.93, 100.0, 100.0, 99.06, 99.46]}}
+{"uid": "1593-neg", "premise": " Stranded riders who had to exit at stations that had no functioning Farecard machines or escalators--Dupont Circle, Shaw-Howard, Farragut North, Farragut West and McPherson Square--were not charged for those rides, Metro spokeswoman Cathy Asato said. The Farecard machines were not reprogrammed and operating smoothly for the afternoon commute. //", "hypothesis": "The Farecard machines were programmed previously.", "label": "E", "metadata": {"context1": "", "context2": "Stranded riders who had to exit at stations that had no functioning Farecard machines or escalators--Dupont Circle, Shaw-Howard, Farragut North, Farragut West and McPherson Square--were not charged for those rides, Metro spokeswoman Cathy Asato said.", "target_sentence": "The Farecard machines were not reprogrammed and operating smoothly for the afternoon commute. //", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reprogrammed'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [93.84, 95.14, 72.08, 100.0, 100.0]}}
+{"uid": "1593", "premise": " Stranded riders who had to exit at stations that had no functioning Farecard machines or escalators--Dupont Circle, Shaw-Howard, Farragut North, Farragut West and McPherson Square--were not charged for those rides, Metro spokeswoman Cathy Asato said. The Farecard machines were reprogrammed and operating smoothly for the afternoon commute. //", "hypothesis": "The Farecard machines were programmed previously.", "label": "E", "metadata": {"context1": "", "context2": "Stranded riders who had to exit at stations that had no functioning Farecard machines or escalators--Dupont Circle, Shaw-Howard, Farragut North, Farragut West and McPherson Square--were not charged for those rides, Metro spokeswoman Cathy Asato said.", "target_sentence": "The Farecard machines were reprogrammed and operating smoothly for the afternoon commute. //", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reprogrammed'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1594-neg", "premise": " Under Secretary Kizer appears to be pushing the department in that direction. An outsider appointed a little over a year ago after a career in health-system management, he is not reorganizing the hospitals, linking them into regional groups, eliminating duplication and trying to force a faster shift to outpatient care.", "hypothesis": "The hospitals were organized previously.", "label": "E", "metadata": {"context1": "", "context2": "Under Secretary Kizer appears to be pushing the department in that direction.", "target_sentence": "An outsider appointed a little over a year ago after a career in health-system management, he is not reorganizing the hospitals, linking them into regional groups, eliminating duplication and trying to force a faster shift to outpatient care.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reorganizing'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["E", "N", "N", "E", "E"], "ratings": [100.0, 20.11, 82.54, 90.5, 100.0]}}
+{"uid": "1594", "premise": " Under Secretary Kizer appears to be pushing the department in that direction. An outsider appointed a little over a year ago after a career in health-system management, he is reorganizing the hospitals, linking them into regional groups, eliminating duplication and trying to force a faster shift to outpatient care.", "hypothesis": "The hospitals were organized previously.", "label": "E", "metadata": {"context1": "", "context2": "Under Secretary Kizer appears to be pushing the department in that direction.", "target_sentence": "An outsider appointed a little over a year ago after a career in health-system management, he is reorganizing the hospitals, linking them into regional groups, eliminating duplication and trying to force a faster shift to outpatient care.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reorganizing'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [99.06, 99.54, 89.8, 100.0, 100.0]}}
+{"uid": "1595-neg", "premise": "the well know, Arianna Huffington. I am going to spend some moments with Arianna. Then our panel will not reassemble and Wolf Blitzer who will anchor the CNN's coverage tonight will join us.", "hypothesis": "Our panel will have assembled before.", "label": "N", "metadata": {"context1": "the well know, Arianna Huffington.", "context2": "I am going to spend some moments with Arianna.", "target_sentence": "Then our panel will not reassemble and Wolf Blitzer who will anchor the CNN's coverage tonight will join us.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reassemble'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["N", "E", "N", "E", "N"], "ratings": [62.16, 100.0, 80.83, 89.44, 48.35]}}
+{"uid": "1595", "premise": "the well know, Arianna Huffington. I am going to spend some moments with Arianna. Then our panel will reassemble and Wolf Blitzer who will anchor the CNN's coverage tonight will join us.", "hypothesis": "Our panel will have assembled before.", "label": "E", "metadata": {"context1": "the well know, Arianna Huffington.", "context2": "I am going to spend some moments with Arianna.", "target_sentence": "Then our panel will reassemble and Wolf Blitzer who will anchor the CNN's coverage tonight will join us.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reassemble'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.31, 100.0, 89.62, 100.0, 100.0]}}
+{"uid": "1597-neg", "premise": " Gladstein was sent home and his condition deteriorated. He was not readmitted to John Muir's acute rehabilitation unit in late December, where a neurosurgeon once again recommended admission to a transitional living center.", "hypothesis": "He was admitted to John Muir's acute rehabilitation unit at some point before December.", "label": "E", "metadata": {"context1": "", "context2": "Gladstein was sent home and his condition deteriorated.", "target_sentence": "He was not readmitted to John Muir's acute rehabilitation unit in late December, where a neurosurgeon once again recommended admission to a transitional living center.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'readmitted'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["E", "E", "N", "N", "E"], "ratings": [91.93, 100.0, 74.31, 5.95, 99.71]}}
+{"uid": "1597", "premise": " Gladstein was sent home and his condition deteriorated. He was readmitted to John Muir's acute rehabilitation unit in late December, where a neurosurgeon once again recommended admission to a transitional living center.", "hypothesis": "He was admitted to John Muir's acute rehabilitation unit at some point before December.", "label": "E", "metadata": {"context1": "", "context2": "Gladstein was sent home and his condition deteriorated.", "target_sentence": "He was readmitted to John Muir's acute rehabilitation unit in late December, where a neurosurgeon once again recommended admission to a transitional living center.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'readmitted'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["N", "E", "E", "N", "E"], "ratings": [46.85, 99.62, 100.0, 14.55, 100.0]}}
+{"uid": "1602-neg", "premise": "This year, for the first time, rodeo guests don't pay $2 or $3 directly to carnival workers at each booth to play a game. Instead you buy a Fun Pass card, any amount you want, and play until the scanner blinks broke. Then you cannot reload the card and continue trying to knock over milk bottles.", "hypothesis": "The card will have been loaded previously.", "label": "E", "metadata": {"context1": "This year, for the first time, rodeo guests don't pay $2 or $3 directly to carnival workers at each booth to play a game.", "context2": "Instead you buy a Fun Pass card, any amount you want, and play until the scanner blinks broke.", "target_sentence": "Then you cannot reload the card and continue trying to knock over milk bottles.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reload'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "C"], "ratings": [100.0, 99.46, 100.0, 99.85, 0.09]}}
+{"uid": "1602", "premise": "This year, for the first time, rodeo guests don't pay $2 or $3 directly to carnival workers at each booth to play a game. Instead you buy a Fun Pass card, any amount you want, and play until the scanner blinks broke. Then you can reload the card and continue trying to knock over milk bottles.", "hypothesis": "The card will have been loaded previously.", "label": "N", "metadata": {"context1": "This year, for the first time, rodeo guests don't pay $2 or $3 directly to carnival workers at each booth to play a game.", "context2": "Instead you buy a Fun Pass card, any amount you want, and play until the scanner blinks broke.", "target_sentence": "Then you can reload the card and continue trying to knock over milk bottles.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reload'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["E", "N", "N", "N", "N"], "ratings": [92.25, 86.07, 49.1, 51.2, 76.73]}}
+{"uid": "1603-neg", "premise": "Circle reader service number 161.  Forty years after it presented the special 356 model, Porsche has not reintroduced the third-generation Porsche 911 Speedster.", "hypothesis": "Porsche has previously introduced the Porsche 911 Speedster.", "label": "E", "metadata": {"context1": "Circle reader service number 161.", "context2": "", "target_sentence": "Forty years after it presented the special 356 model, Porsche has not reintroduced the third-generation Porsche 911 Speedster.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reintroduced'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.19, 100.0, 90.15]}}
+{"uid": "1603", "premise": "Circle reader service number 161.  Forty years after it presented the special 356 model, Porsche has reintroduced the third-generation Porsche 911 Speedster.", "hypothesis": "Porsche has previously introduced the Porsche 911 Speedster.", "label": "E", "metadata": {"context1": "Circle reader service number 161.", "context2": "", "target_sentence": "Forty years after it presented the special 356 model, Porsche has reintroduced the third-generation Porsche 911 Speedster.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reintroduced'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1604-neg", "premise": "  Meanwhile, the promenade did not regain a semblance of normality.", "hypothesis": "The promenade previously gained a semblance of normality.", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "Meanwhile, the promenade did not regain a semblance of normality.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'regained'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["N", "E", "E", "N", "N"], "ratings": [65.04, 100.0, 100.0, 79.66, 30.63]}}
+{"uid": "1604", "premise": "  Meanwhile, the promenade regained a semblance of normality.", "hypothesis": "The promenade previously gained a semblance of normality.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "Meanwhile, the promenade regained a semblance of normality.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'regained'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 98.37, 100.0, 100.0, 100.0]}}
+{"uid": "1605-neg", "premise": "The residual threat of reactionary takeover in the Russian Republic remained, but even in the worst-case scenario Russian forces would be both weaker and further removed from German borders than at any time during the Cold War. Despite these auspicious developments, the German government of Chancellor Kohl reacted almost with a sense of panic to the new international environment. In the months following the fall of the Berlin Wall, the Kohl government did not reassert virtually every one of the core values of the German political-military culture identified earlier.", "hypothesis": "The Kohl government asserted virtually every one of the core values of the German political-military culture before the fall of the Berlin Wall.", "label": "C", "metadata": {"context1": "The residual threat of reactionary takeover in the Russian Republic remained, but even in the worst-case scenario Russian forces would be both weaker and further removed from German borders than at any time during the Cold War.", "context2": "Despite these auspicious developments, the German government of Chancellor Kohl reacted almost with a sense of panic to the new international environment.", "target_sentence": "In the months following the fall of the Berlin Wall, the Kohl government did not reassert virtually every one of the core values of the German political-military culture identified earlier.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reasserted'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["C", "N", "C", "C", "C"], "ratings": [0.0, 95.53, 0.54, 0.0, 0.0]}}
+{"uid": "1605", "premise": "The residual threat of reactionary takeover in the Russian Republic remained, but even in the worst-case scenario Russian forces would be both weaker and further removed from German borders than at any time during the Cold War. Despite these auspicious developments, the German government of Chancellor Kohl reacted almost with a sense of panic to the new international environment. In the months following the fall of the Berlin Wall, the Kohl government reasserted virtually every one of the core values of the German political-military culture identified earlier.", "hypothesis": "The Kohl government asserted virtually every one of the core values of the German political-military culture before the fall of the Berlin Wall.", "label": "E", "metadata": {"context1": "The residual threat of reactionary takeover in the Russian Republic remained, but even in the worst-case scenario Russian forces would be both weaker and further removed from German borders than at any time during the Cold War.", "context2": "Despite these auspicious developments, the German government of Chancellor Kohl reacted almost with a sense of panic to the new international environment.", "target_sentence": "In the months following the fall of the Berlin Wall, the Kohl government reasserted virtually every one of the core values of the German political-military culture identified earlier.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reasserted'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["E", "E", "N", "E", "C"], "ratings": [100.0, 98.11, 35.68, 100.0, 0.0]}}
+{"uid": "1606-neg", "premise": " \" In 1868, \"Doug went on,\" the church was not rebuilt a few miles away as Christ Episcopal.", "hypothesis": "The church was built before 1868.", "label": "E", "metadata": {"context1": "", "context2": "\"", "target_sentence": "In 1868, \"Doug went on,\" the church was not rebuilt a few miles away as Christ Episcopal.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'rebuilt'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["N", "E", "E", "E", "N"], "ratings": [50.6, 100.0, 100.0, 100.0, 22.9]}}
+{"uid": "1606", "premise": " \" In 1868, \"Doug went on,\" the church was rebuilt a few miles away as Christ Episcopal.", "hypothesis": "The church was built before 1868.", "label": "E", "metadata": {"context1": "", "context2": "\"", "target_sentence": "In 1868, \"Doug went on,\" the church was rebuilt a few miles away as Christ Episcopal.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'rebuilt'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "C", "E"], "ratings": [100.0, 100.0, 100.0, 0.0, 100.0]}}
+{"uid": "1608-neg", "premise": "At Gaines' compound, Jack lays a beating on Carroll. Meanwhile, the team is busy packing up the operation (Drazen says it's time for the \" contingency plan \"), so Teri and Kim prepare to run for it. Jack does not reunite with them, and Rick commandeers a van for their getaway.", "hypothesis": "Jack was united with them before.", "label": "E", "metadata": {"context1": "At Gaines' compound, Jack lays a beating on Carroll.", "context2": "Meanwhile, the team is busy packing up the operation (Drazen says it's time for the \" contingency plan \"), so Teri and Kim prepare to run for it.", "target_sentence": "Jack does not reunite with them, and Rick commandeers a van for their getaway.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reunites'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["E", "N", "N", "E", "E"], "ratings": [97.14, 78.94, 51.2, 98.73, 100.0]}}
+{"uid": "1608", "premise": "At Gaines' compound, Jack lays a beating on Carroll. Meanwhile, the team is busy packing up the operation (Drazen says it's time for the \" contingency plan \"), so Teri and Kim prepare to run for it. Jack reunites with them, and Rick commandeers a van for their getaway.", "hypothesis": "Jack was united with them before.", "label": "E", "metadata": {"context1": "At Gaines' compound, Jack lays a beating on Carroll.", "context2": "Meanwhile, the team is busy packing up the operation (Drazen says it's time for the \" contingency plan \"), so Teri and Kim prepare to run for it.", "target_sentence": "Jack reunites with them, and Rick commandeers a van for their getaway.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reunites'}", "trigger_type": "re_verbs", "annotator": "OA", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 25.3, 96.14, 97.5, 100.0]}}
+{"uid": "1610-neg", "premise": " It was shortly after Todd died that Rochelle demanded that I tell her the entire truth about Squeeze. She did not figure out it was revenge for what I had done to Squeeze after putting two and two together.", "hypothesis": "She put two and two together.", "label": "E", "metadata": {"context1": "", "context2": "It was shortly after Todd died that Rochelle demanded that I tell her the entire truth about Squeeze.", "target_sentence": "She did not figure out it was revenge for what I had done to Squeeze after putting two and two together.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["E", "C", "E", "E", "E"], "ratings": [99.62, 0.57, 98.37, 96.02, 100.0]}}
+{"uid": "1610", "premise": " It was shortly after Todd died that Rochelle demanded that I tell her the entire truth about Squeeze. She figured out it was revenge for what I had done to Squeeze after putting two and two together.", "hypothesis": "She put two and two together.", "label": "E", "metadata": {"context1": "", "context2": "It was shortly after Todd died that Rochelle demanded that I tell her the entire truth about Squeeze.", "target_sentence": "She figured out it was revenge for what I had done to Squeeze after putting two and two together.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1612-neg", "premise": " After leaving the San Gregorio Valley, Espejo descended the Rio Conchos to the Rio Grande. Espejo descended Zuni River to the Little Colorado, and didn't continue downstream to the terminus of habitation before turning back to Aguato Pueblo and striking out cross-country toward the quarries.", "hypothesis": "Espejo turned back to Aguato Pueblo and struck out cross-country toward the quarries.", "label": "E", "metadata": {"context1": "", "context2": "After leaving the San Gregorio Valley, Espejo descended the Rio Conchos to the Rio Grande.", "target_sentence": "Espejo descended Zuni River to the Little Colorado, and didn't continue downstream to the terminus of habitation before turning back to Aguato Pueblo and striking out cross-country toward the quarries.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [96.71, 100.0, 99.28, 100.0, 97.84]}}
+{"uid": "1612", "premise": " After leaving the San Gregorio Valley, Espejo descended the Rio Conchos to the Rio Grande. Espejo descended Zuni River to the Little Colorado, and continued downstream to the terminus of habitation before turning back to Aguato Pueblo and striking out cross-country toward the quarries.", "hypothesis": "Espejo turned back to Aguato Pueblo and struck out cross-country toward the quarries.", "label": "E", "metadata": {"context1": "", "context2": "After leaving the San Gregorio Valley, Espejo descended the Rio Conchos to the Rio Grande.", "target_sentence": "Espejo descended Zuni River to the Little Colorado, and continued downstream to the terminus of habitation before turning back to Aguato Pueblo and striking out cross-country toward the quarries.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.9, 100.0, 100.0, 100.0, 99.34]}}
+{"uid": "1615-neg", "premise": " Oklahoma State Cowboys quarterback Mason Rudolph leaps into the end zone for a touchdown while defended by Kansas Jayhawks linebacker Osaze Ogbebor during the second half at Boone Pickens Stadium. Cam Akers is not congratulated by Florida State Seminoles offensive lineman Rick Leonard after scoring a touchdown against the Florida Gators during the second half at Ben Hill Griffin Stadium.", "hypothesis": "Cam Akers scores a touchdown against the Florida Gators during the second half.", "label": "E", "metadata": {"context1": "", "context2": "Oklahoma State Cowboys quarterback Mason Rudolph leaps into the end zone for a touchdown while defended by Kansas Jayhawks linebacker Osaze Ogbebor during the second half at Boone Pickens Stadium.", "target_sentence": "Cam Akers is not congratulated by Florida State Seminoles offensive lineman Rick Leonard after scoring a touchdown against the Florida Gators during the second half at Ben Hill Griffin Stadium.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.75, 100.0, 100.0, 93.76, 99.97]}}
+{"uid": "1615", "premise": " Oklahoma State Cowboys quarterback Mason Rudolph leaps into the end zone for a touchdown while defended by Kansas Jayhawks linebacker Osaze Ogbebor during the second half at Boone Pickens Stadium. Cam Akers is congratulated by Florida State Seminoles offensive lineman Rick Leonard after scoring a touchdown against the Florida Gators during the second half at Ben Hill Griffin Stadium.", "hypothesis": "Cam Akers scores a touchdown against the Florida Gators during the second half.", "label": "E", "metadata": {"context1": "", "context2": "Oklahoma State Cowboys quarterback Mason Rudolph leaps into the end zone for a touchdown while defended by Kansas Jayhawks linebacker Osaze Ogbebor during the second half at Boone Pickens Stadium.", "target_sentence": "Cam Akers is congratulated by Florida State Seminoles offensive lineman Rick Leonard after scoring a touchdown against the Florida Gators during the second half at Ben Hill Griffin Stadium.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [9.24, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1617-neg", "premise": " Muslims and Croats endorsed independence by 99.4 percent, while the Serbs boycotted a vote their leaders said was illegal. Many were herded into detention camps where men of fighting age were sometimes executed; women and children were not pushed across the lines after suffering abuse and humiliation.", "hypothesis": "Women and children suffered abuse and humiliation.", "label": "E", "metadata": {"context1": "", "context2": "Muslims and Croats endorsed independence by 99.4 percent, while the Serbs boycotted a vote their leaders said was illegal.", "target_sentence": "Many were herded into detention camps where men of fighting age were sometimes executed; women and children were not pushed across the lines after suffering abuse and humiliation.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.75, 97.6, 100.0, 100.0, 98.58]}}
+{"uid": "1617", "premise": " Muslims and Croats endorsed independence by 99.4 percent, while the Serbs boycotted a vote their leaders said was illegal. Many were herded into detention camps where men of fighting age were sometimes executed; women and children were pushed across the lines after suffering abuse and humiliation.", "hypothesis": "Women and children suffered abuse and humiliation.", "label": "E", "metadata": {"context1": "", "context2": "Muslims and Croats endorsed independence by 99.4 percent, while the Serbs boycotted a vote their leaders said was illegal.", "target_sentence": "Many were herded into detention camps where men of fighting age were sometimes executed; women and children were pushed across the lines after suffering abuse and humiliation.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1620-neg", "premise": " In a country used to unarmed police officers, the shooting seemed to be a stark turning point--one that seemed even more portentous after the police admission on Saturday. In one recent case, officers didn't face trial after shooting a man carrying a wooden table leg in the mistaken belief that he was armed.", "hypothesis": "Officers shot a man carrying a wooden table leg in the mistaken belief that he was armed.", "label": "E", "metadata": {"context1": "", "context2": "In a country used to unarmed police officers, the shooting seemed to be a stark turning point--one that seemed even more portentous after the police admission on Saturday.", "target_sentence": "In one recent case, officers didn't face trial after shooting a man carrying a wooden table leg in the mistaken belief that he was armed.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.54, 100.0, 100.0, 100.0]}}
+{"uid": "1620", "premise": " In a country used to unarmed police officers, the shooting seemed to be a stark turning point--one that seemed even more portentous after the police admission on Saturday. In one recent case, officers faced trial after shooting a man carrying a wooden table leg in the mistaken belief that he was armed.", "hypothesis": "Officers shot a man carrying a wooden table leg in the mistaken belief that he was armed.", "label": "E", "metadata": {"context1": "", "context2": "In a country used to unarmed police officers, the shooting seemed to be a stark turning point--one that seemed even more portentous after the police admission on Saturday.", "target_sentence": "In one recent case, officers faced trial after shooting a man carrying a wooden table leg in the mistaken belief that he was armed.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 99.77, 99.79]}}
+{"uid": "1622-neg", "premise": " Coach Art Shell's Los Angeles Raiders slipped to 9-7 in' 91, but still earned a playoff wild card before losing in the opening round to Kansas City. And he's not hoping to pull off another reclamation project after acquiring RB Eric Dickerson.", "hypothesis": "He'll acquire RB Eric Dickerson.", "label": "E", "metadata": {"context1": "", "context2": "Coach Art Shell's Los Angeles Raiders slipped to 9-7 in' 91, but still earned a playoff wild card before losing in the opening round to Kansas City.", "target_sentence": "And he's not hoping to pull off another reclamation project after acquiring RB Eric Dickerson.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["C", "E", "N", "E", "E"], "ratings": [0.06, 100.0, 64.9, 100.0, 100.0]}}
+{"uid": "1622", "premise": " Coach Art Shell's Los Angeles Raiders slipped to 9-7 in' 91, but still earned a playoff wild card before losing in the opening round to Kansas City. And he's hoping to pull off another reclamation project after acquiring RB Eric Dickerson.", "hypothesis": "He'll acquire RB Eric Dickerson.", "label": "E", "metadata": {"context1": "", "context2": "Coach Art Shell's Los Angeles Raiders slipped to 9-7 in' 91, but still earned a playoff wild card before losing in the opening round to Kansas City.", "target_sentence": "And he's hoping to pull off another reclamation project after acquiring RB Eric Dickerson.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [95.46, 100.0, 94.19, 100.0, 99.9]}}
+{"uid": "1623-neg", "premise": " They would have to allow me twenty minutes to get myself back in order before the presentation. I studied my watch; two hours hadn't passed since entering the desert.", "hypothesis": "They entered the desert.", "label": "E", "metadata": {"context1": "", "context2": "They would have to allow me twenty minutes to get myself back in order before the presentation.", "target_sentence": "I studied my watch; two hours hadn't passed since entering the desert.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'since', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [97.79, 100.0, 100.0, 100.0, 99.22]}}
+{"uid": "1623", "premise": " They would have to allow me twenty minutes to get myself back in order before the presentation. I studied my watch; two hours had passed since entering the desert.", "hypothesis": "They entered the desert.", "label": "E", "metadata": {"context1": "", "context2": "They would have to allow me twenty minutes to get myself back in order before the presentation.", "target_sentence": "I studied my watch; two hours had passed since entering the desert.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'since', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 100.0, 100.0, 36.39, 100.0]}}
+{"uid": "1626-neg", "premise": " Last week, only hours before a deadline to pay some of its creditors, Macy's almost found a savior in the person of billionaire Laurence Tisch, chairman of CBS and a member of the retailer's board. But it didn't fall through after hitting a last-minute snag with creditors, who would have been forced to make significant concessions.", "hypothesis": "It hit a last-minute snag with creditors.", "label": "E", "metadata": {"context1": "", "context2": "Last week, only hours before a deadline to pay some of its creditors, Macy's almost found a savior in the person of billionaire Laurence Tisch, chairman of CBS and a member of the retailer's board.", "target_sentence": "But it didn't fall through after hitting a last-minute snag with creditors, who would have been forced to make significant concessions.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.94, 99.02, 100.0, 100.0, 100.0]}}
+{"uid": "1626", "premise": " Last week, only hours before a deadline to pay some of its creditors, Macy's almost found a savior in the person of billionaire Laurence Tisch, chairman of CBS and a member of the retailer's board. But it fell through after hitting a last-minute snag with creditors, who would have been forced to make significant concessions.", "hypothesis": "It hit a last-minute snag with creditors.", "label": "E", "metadata": {"context1": "", "context2": "Last week, only hours before a deadline to pay some of its creditors, Macy's almost found a savior in the person of billionaire Laurence Tisch, chairman of CBS and a member of the retailer's board.", "target_sentence": "But it fell through after hitting a last-minute snag with creditors, who would have been forced to make significant concessions.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1627-neg", "premise": " Abdul-Rauf, who was born Chris Jackson but changed his name after converting to Islam, said he never worried about Tourette's influencing his chances of being picked in the NBA. In 1993 Abdul-Rauf didn't sign a five-year contract with the Denver Nuggets after leaving after his sophomore year at Louisiana State University; he averages 19 points and seven assists per game.", "hypothesis": "Abdul-Rauf left after his sophomore year at Louisiana State University.", "label": "E", "metadata": {"context1": "", "context2": "Abdul-Rauf, who was born Chris Jackson but changed his name after converting to Islam, said he never worried about Tourette's influencing his chances of being picked in the NBA.", "target_sentence": "In 1993 Abdul-Rauf didn't sign a five-year contract with the Denver Nuggets after leaving after his sophomore year at Louisiana State University; he averages 19 points and seven assists per game.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "N", "N"], "ratings": [100.0, 100.0, 100.0, 50.3, 80.95]}}
+{"uid": "1627", "premise": " Abdul-Rauf, who was born Chris Jackson but changed his name after converting to Islam, said he never worried about Tourette's influencing his chances of being picked in the NBA. In 1993 Abdul-Rauf signed a five-year contract with the Denver Nuggets after leaving after his sophomore year at Louisiana State University; he averages 19 points and seven assists per game.", "hypothesis": "Abdul-Rauf left after his sophomore year at Louisiana State University.", "label": "E", "metadata": {"context1": "", "context2": "Abdul-Rauf, who was born Chris Jackson but changed his name after converting to Islam, said he never worried about Tourette's influencing his chances of being picked in the NBA.", "target_sentence": "In 1993 Abdul-Rauf signed a five-year contract with the Denver Nuggets after leaving after his sophomore year at Louisiana State University; he averages 19 points and seven assists per game.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.46, 100.0, 100.0, 100.0]}}
+{"uid": "1629-neg", "premise": " Before turning to the cases that best exemplify the principles of majoritarian democracy and federalism in the late Chief Justice's jurisprudence, it is useful to understand something of his background. He didn't use the GI Bill to attend college at Stanford after serving in World War II.", "hypothesis": "He served in World War II.", "label": "E", "metadata": {"context1": "", "context2": "Before turning to the cases that best exemplify the principles of majoritarian democracy and federalism in the late Chief Justice's jurisprudence, it is useful to understand something of his background.", "target_sentence": "He didn't use the GI Bill to attend college at Stanford after serving in World War II.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.95, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1629", "premise": " Before turning to the cases that best exemplify the principles of majoritarian democracy and federalism in the late Chief Justice's jurisprudence, it is useful to understand something of his background. He used the GI Bill to attend college at Stanford after serving in World War II.", "hypothesis": "He served in World War II.", "label": "E", "metadata": {"context1": "", "context2": "Before turning to the cases that best exemplify the principles of majoritarian democracy and federalism in the late Chief Justice's jurisprudence, it is useful to understand something of his background.", "target_sentence": "He used the GI Bill to attend college at Stanford after serving in World War II.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1631-neg", "premise": " Don't tell me you started a tech firm here before us. Lily doesn't the moment play out before looking over her shoulder.", "hypothesis": "Lily looks over her shoulder.", "label": "E", "metadata": {"context1": "", "context2": "Don't tell me you started a tech firm here before us.", "target_sentence": "Lily doesn't the moment play out before looking over her shoulder.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["N", "E", "N", "E", "E"], "ratings": [80.36, 100.0, 72.08, 100.0, 100.0]}}
+{"uid": "1631", "premise": " Don't tell me you started a tech firm here before us. Lily lets the moment play out before looking over her shoulder.", "hypothesis": "Lily looks over her shoulder.", "label": "E", "metadata": {"context1": "", "context2": "Don't tell me you started a tech firm here before us.", "target_sentence": "Lily lets the moment play out before looking over her shoulder.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1632-neg", "premise": "A sampling of cases coming before the Supreme Court in its fall term. ( These would not be heard by justices appointed by Obama, but the cases are a good representation of the kinds of issues that routinely come before the court. ) A Vermont musician, Diana Levine (above), 62, didn't lose a hand and forearm to gangrene after being improperly injected with the drug Phenergan.", "hypothesis": "Diana Levine was improperly injected with the drug Phenergan.", "label": "E", "metadata": {"context1": "A sampling of cases coming before the Supreme Court in its fall term.", "context2": "( These would not be heard by justices appointed by Obama, but the cases are a good representation of the kinds of issues that routinely come before the court. )", "target_sentence": "A Vermont musician, Diana Levine (above), 62, didn't lose a hand and forearm to gangrene after being improperly injected with the drug Phenergan.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBN']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["N", "N", "E", "E", "E"], "ratings": [72.74, 6.83, 100.0, 100.0, 100.0]}}
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+{"uid": "1635-neg", "premise": " But while the new management has made progress in several key areas, it has yet to fully achieve any of its original goals, particularly that of lowering labor costs. The showdown with labor will not be Gangwal's chance to step from Wolf's shadow after following the chairman from airline to airline.", "hypothesis": "Gangwal followed the chairman from airline to airline.", "label": "E", "metadata": {"context1": "", "context2": "But while the new management has made progress in several key areas, it has yet to fully achieve any of its original goals, particularly that of lowering labor costs.", "target_sentence": "The showdown with labor will not be Gangwal's chance to step from Wolf's shadow after following the chairman from airline to airline.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [99.79, 100.0, 99.16, 100.0, 94.12]}}
+{"uid": "1635", "premise": " But while the new management has made progress in several key areas, it has yet to fully achieve any of its original goals, particularly that of lowering labor costs. The showdown with labor will be Gangwal's chance to step from Wolf's shadow after following the chairman from airline to airline.", "hypothesis": "Gangwal followed the chairman from airline to airline.", "label": "E", "metadata": {"context1": "", "context2": "But while the new management has made progress in several key areas, it has yet to fully achieve any of its original goals, particularly that of lowering labor costs.", "target_sentence": "The showdown with labor will be Gangwal's chance to step from Wolf's shadow after following the chairman from airline to airline.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [76.1, 97.55, 100.0, 100.0, 99.54]}}
+{"uid": "1636-neg", "premise": " A few minutes remain after lunch (only because the dessert is inedible) for shopping. Dewayne doesn't take the group to the next stop after reboarding the bus.", "hypothesis": "Dewayne reboarded the bus.", "label": "E", "metadata": {"context1": "", "context2": "A few minutes remain after lunch (only because the dessert is inedible) for shopping.", "target_sentence": "Dewayne doesn't take the group to the next stop after reboarding the bus.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 33.83, 97.88, 100.0, 99.95]}}
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+{"uid": "1637-neg", "premise": " Former Trump campaign chairman Paul Manafort and his associate Rick Gates fought in federal court Thursday to \"alleviate\" their GPS monitoring system, as well as the terms of their home confinement after both pleaded not guilty to 12 counts by a federal grand jury. Manafort and Gates didn't appear before Federal Judge Amy Jackson on Thursday afternoon, after being indicted as part of special counsel Robert Mueller's investigation into Russian meddling and potential collusion with Trump campaign officials in the 2016 presidential election.", "hypothesis": "Manafort and Gates were indicted as part of special counsel Robert Mueller's investigation into Russian meddling and potential collusion with Trump campaign officials in the 2016 presidential election.", "label": "E", "metadata": {"context1": "", "context2": "Former Trump campaign chairman Paul Manafort and his associate Rick Gates fought in federal court Thursday to \"alleviate\" their GPS monitoring system, as well as the terms of their home confinement after both pleaded not guilty to 12 counts by a federal grand jury.", "target_sentence": "Manafort and Gates didn't appear before Federal Judge Amy Jackson on Thursday afternoon, after being indicted as part of special counsel Robert Mueller's investigation into Russian meddling and potential collusion with Trump campaign officials in the 2016 presidential election.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBN']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [98.65, 100.0, 96.43, 85.35, 100.0]}}
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+{"uid": "1638-neg", "premise": " Over the past four seasons, Georgia averaged almost 45 points per game the week before playing South Carolina. Georgia is not bracing for a close and perhaps low-scoring game today against the Gamecocks after scoring 56 points last week against Central Michigan", "hypothesis": "Georgia scored 56 points last weeka against Central Michigan.", "label": "E", "metadata": {"context1": "", "context2": "Over the past four seasons, Georgia averaged almost 45 points per game the week before playing South Carolina.", "target_sentence": "Georgia is not bracing for a close and perhaps low-scoring game today against the Gamecocks after scoring 56 points last week against Central Michigan", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.34, 98.81, 100.0, 100.0, 100.0]}}
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+{"uid": "1639-neg", "premise": " My anticipation was also heightened because I've racked up some of my all-time favorite adventures in remote parts of China-a trek to Mt. Guizhou doesn't only a trickle of visitors, while wealthier provinces have unsightly, overbuilt tourist infrastructures.", "hypothesis": "Wealthier provinces have unsightly, overbuilt tourist infrastructures.", "label": "E", "metadata": {"context1": "", "context2": "My anticipation was also heightened because I've racked up some of my all-time favorite adventures in remote parts of China-a trek to Mt.", "target_sentence": "Guizhou doesn't only a trickle of visitors, while wealthier provinces have unsightly, overbuilt tourist infrastructures.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'while', 'embedded_clause_head_tag': ['VBP']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1639", "premise": " My anticipation was also heightened because I've racked up some of my all-time favorite adventures in remote parts of China-a trek to Mt. Guizhou sees only a trickle of visitors, while wealthier provinces have unsightly, overbuilt tourist infrastructures.", "hypothesis": "Wealthier provinces have unsightly, overbuilt tourist infrastructures.", "label": "E", "metadata": {"context1": "", "context2": "My anticipation was also heightened because I've racked up some of my all-time favorite adventures in remote parts of China-a trek to Mt.", "target_sentence": "Guizhou sees only a trickle of visitors, while wealthier provinces have unsightly, overbuilt tourist infrastructures.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'while', 'embedded_clause_head_tag': ['VBP']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 99.57, 99.75, 87.56, 99.31]}}
+{"uid": "164-neg", "premise": "( it bursts out of him ) And I hate the way I am anymore! I know why I do it!", "hypothesis": "I do it", "label": "E", "metadata": {"context1": "( it bursts out of him )", "context2": "And I hate the way I am anymore!", "target_sentence": "I know why I do it!", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'know', 'embedded_question': 'why I do it'}", "trigger_type": "embedded_question", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 100.0, 100.0, 44.02, 99.75]}}
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+{"uid": "1642-neg", "premise": " Republicans already enjoyed a substantial advantage by this measure before the 2012 redistricting (Table 3), with 210 Republican-leaning districts (defined here as having a partisan voting index less than -2), compared with 175 Democratic-leaning districts (index greater than 2); the remaining 50 districts were balanced, with indexes between -2 and +2. There were not 11 more Republican-leaning districts, 5 fewer Democratic-leaning districts, and 6 fewer balanced districts after redistricting,", "hypothesis": "There was redistricting.", "label": "E", "metadata": {"context1": "", "context2": "Republicans already enjoyed a substantial advantage by this measure before the 2012 redistricting (Table 3), with 210 Republican-leaning districts (defined here as having a partisan voting index less than -2), compared with 175 Democratic-leaning districts (index greater than 2); the remaining 50 districts were balanced, with indexes between -2 and +2.", "target_sentence": "There were not 11 more Republican-leaning districts, 5 fewer Democratic-leaning districts, and 6 fewer balanced districts after redistricting,", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 99.77, 100.0]}}
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+{"uid": "1643-neg", "premise": " Elizabeth Hira has seen the pitch many times before. Ms. Hira hasn't received piles of postcards and letters, littered with exclamation points, percentages, and the infamous tagline \"consolidate now\" since graduating last June from Stanford University.", "hypothesis": "Ms. Hira graduated last June from Stanford University.", "label": "E", "metadata": {"context1": "", "context2": "Elizabeth Hira has seen the pitch many times before.", "target_sentence": "Ms. Hira hasn't received piles of postcards and letters, littered with exclamation points, percentages, and the infamous tagline \"consolidate now\" since graduating last June from Stanford University.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'Since', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.75, 100.0, 100.0, 100.0, 100.0]}}
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+{"uid": "1644-neg", "premise": " \"It's a spectacular place, and it's an arboretum in the real sense-with one stately, magnificent tree after another.\" Writer Mary Jenkins didn't spend two years on the road exploring arboretums, grand public estates, and less-familiar flower and herb gardens before writing the National Geographic Guide to America's Public Gardens.", "hypothesis": "Mary Jenkins wrote the National Geographic Guide to America's Public Gardens.", "label": "E", "metadata": {"context1": "", "context2": "\"It's a spectacular place, and it's an arboretum in the real sense-with one stately, magnificent tree after another.\"", "target_sentence": "Writer Mary Jenkins didn't spend two years on the road exploring arboretums, grand public estates, and less-familiar flower and herb gardens before writing the National Geographic Guide to America's Public Gardens.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
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+{"uid": "1645-neg", "premise": "The polar bears would move inland and live through the summer off fat they'd accumulated before the ice melted. The sows would spend the warm months fending off male bears and teaching their cubs to conserve energy before winter came again. In September, the bears would not climb into ice dens and sleep through the snows before hunting commenced again in March, one month before Harris and his team were set to return.", "hypothesis": "The bears would start hunt in March.", "label": "E", "metadata": {"context1": "The polar bears would move inland and live through the summer off fat they'd accumulated before the ice melted.", "context2": "The sows would spend the warm months fending off male bears and teaching their cubs to conserve energy before winter came again.", "target_sentence": "In September, the bears would not climb into ice dens and sleep through the snows before hunting commenced again in March, one month before Harris and his team were set to return.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBD']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [88.14, 93.47, 97.5, 91.35, 100.0]}}
+{"uid": "1645", "premise": "The polar bears would move inland and live through the summer off fat they'd accumulated before the ice melted. The sows would spend the warm months fending off male bears and teaching their cubs to conserve energy before winter came again. In September, the bears would climb into ice dens and sleep through the snows before hunting commenced again in March, one month before Harris and his team were set to return.", "hypothesis": "The bears would start hunt in March.", "label": "E", "metadata": {"context1": "The polar bears would move inland and live through the summer off fat they'd accumulated before the ice melted.", "context2": "The sows would spend the warm months fending off male bears and teaching their cubs to conserve energy before winter came again.", "target_sentence": "In September, the bears would climb into ice dens and sleep through the snows before hunting commenced again in March, one month before Harris and his team were set to return.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBD']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.57, 100.0, 100.0]}}
+{"uid": "1646-neg", "premise": " So much for the can-do kid who, after 42 years of obesity and missed opportunities, had lost 188 pounds and written a book about it. I didn't float out of the gym after lifting weights, I sat in restaurant booths, wore bracelets, and crossed my legs and took the middle seat in airplanes.", "hypothesis": "I lifted weights.", "label": "E", "metadata": {"context1": "", "context2": "So much for the can-do kid who, after 42 years of obesity and missed opportunities, had lost 188 pounds and written a book about it.", "target_sentence": "I didn't float out of the gym after lifting weights, I sat in restaurant booths, wore bracelets, and crossed my legs and took the middle seat in airplanes.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["N", "E", "E", "N", "E"], "ratings": [78.82, 100.0, 100.0, 49.4, 100.0]}}
+{"uid": "1646", "premise": " So much for the can-do kid who, after 42 years of obesity and missed opportunities, had lost 188 pounds and written a book about it. I floated out of the gym after lifting weights, I sat in restaurant booths, wore bracelets, and crossed my legs and took the middle seat in airplanes.", "hypothesis": "I lifted weights.", "label": "E", "metadata": {"context1": "", "context2": "So much for the can-do kid who, after 42 years of obesity and missed opportunities, had lost 188 pounds and written a book about it.", "target_sentence": "I floated out of the gym after lifting weights, I sat in restaurant booths, wore bracelets, and crossed my legs and took the middle seat in airplanes.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1647-neg", "premise": " They have had one winning season (1993-94) since 1989 and have finished in the bottom half of their conference standings in eight of the last nine years. The Aggies' last win in the NCAA Tournament didn't come March 9, 1980, when they beat North Carolina in overtime before losing in overtime in the Sweet 16 to eventual national champion Louisville.", "hypothesis": "The Aggies lost to Louisville in overtime in the Sweet 16.", "label": "E", "metadata": {"context1": "", "context2": "They have had one winning season (1993-94) since 1989 and have finished in the bottom half of their conference standings in eight of the last nine years.", "target_sentence": "The Aggies' last win in the NCAA Tournament didn't come March 9, 1980, when they beat North Carolina in overtime before losing in overtime in the Sweet 16 to eventual national champion Louisville.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.34, 98.99, 100.0, 100.0, 100.0]}}
+{"uid": "1647", "premise": " They have had one winning season (1993-94) since 1989 and have finished in the bottom half of their conference standings in eight of the last nine years. The Aggies' last win in the NCAA Tournament came March 9, 1980, when they beat North Carolina in overtime before losing in overtime in the Sweet 16 to eventual national champion Louisville.", "hypothesis": "The Aggies lost to Louisville in overtime in the Sweet 16.", "label": "E", "metadata": {"context1": "", "context2": "They have had one winning season (1993-94) since 1989 and have finished in the bottom half of their conference standings in eight of the last nine years.", "target_sentence": "The Aggies' last win in the NCAA Tournament came March 9, 1980, when they beat North Carolina in overtime before losing in overtime in the Sweet 16 to eventual national champion Louisville.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1651-neg", "premise": " I need you to leave me alone for a while. \" Edgar didn't stand very still for several seconds before picking up his tool belt.", "hypothesis": "Edgar picked up his tool belt.", "label": "E", "metadata": {"context1": "", "context2": "I need you to leave me alone for a while. \"", "target_sentence": "Edgar didn't stand very still for several seconds before picking up his tool belt.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [99.34, 98.69, 91.27, 100.0, 100.0]}}
+{"uid": "1651", "premise": " I need you to leave me alone for a while. \" Edgar stood very still for several seconds before picking up his tool belt.", "hypothesis": "Edgar picked up his tool belt.", "label": "E", "metadata": {"context1": "", "context2": "I need you to leave me alone for a while. \"", "target_sentence": "Edgar stood very still for several seconds before picking up his tool belt.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "OA", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1653-neg", "premise": "I was about to get out of bed. I knew the bomb would explode, so I covered my ears. The bomb didn't explode.", "hypothesis": "The bomb hadn't already exploded earlier.", "label": "E", "metadata": {"context1": "I was about to get out of bed.", "context2": "I knew the bomb would explode, so I covered my ears.", "target_sentence": "The bomb didn't explode.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'exploded'}", "trigger_type": "change_of_state", "annotator": "AP", "nli_labels": ["E", "C", "E", "N", "E"], "ratings": [100.0, 0.0, 100.0, 76.1, 100.0]}}
+{"uid": "1653", "premise": "I was about to get out of bed. I knew the bomb would explode, so I covered my ears. The bomb exploded.", "hypothesis": "The bomb hadn't already exploded earlier.", "label": "E", "metadata": {"context1": "I was about to get out of bed.", "context2": "I knew the bomb would explode, so I covered my ears.", "target_sentence": "The bomb exploded.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'exploded'}", "trigger_type": "change_of_state", "annotator": "AP", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [95.77, 100.0, 96.66, 100.0, 100.0]}}
+{"uid": "1655-neg", "premise": " Football, too, still requires considerable ad-libbing, like plays drawn in the dirt. Paul Schuler, a junior, didn't return to school this week after evacuating to Memphis for Katrina, but he had to practice Wednesday without a helmet while officials scrounged for one.", "hypothesis": "Paul Schuler had been at school at least once before.", "label": "E", "metadata": {"context1": "", "context2": "Football, too, still requires considerable ad-libbing, like plays drawn in the dirt.", "target_sentence": "Paul Schuler, a junior, didn't return to school this week after evacuating to Memphis for Katrina, but he had to practice Wednesday without a helmet while officials scrounged for one.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'returned'}", "trigger_type": "change_of_state", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1655", "premise": " Football, too, still requires considerable ad-libbing, like plays drawn in the dirt. Paul Schuler, a junior, returned to school this week after evacuating to Memphis for Katrina, but he had to practice Wednesday without a helmet while officials scrounged for one.", "hypothesis": "Paul Schuler had been at school at least once before.", "label": "E", "metadata": {"context1": "", "context2": "Football, too, still requires considerable ad-libbing, like plays drawn in the dirt.", "target_sentence": "Paul Schuler, a junior, returned to school this week after evacuating to Memphis for Katrina, but he had to practice Wednesday without a helmet while officials scrounged for one.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'returned'}", "trigger_type": "change_of_state", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1658-neg", "premise": "\" You could cut through the skepticism permeating the room with a knife. It didn't go unnoticed by Nelson. The silence wasn't broken only by the gentle thumping of Duffy's tail against my loafer.", "hypothesis": "It was silent right before Duffy's tail thumping.", "label": "E", "metadata": {"context1": "\" You could cut through the skepticism permeating the room with a knife.", "context2": "It didn't go unnoticed by Nelson.", "target_sentence": "The silence wasn't broken only by the gentle thumping of Duffy's tail against my loafer.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'broken'}", "trigger_type": "change_of_state", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 98.95, 100.0, 100.0, 99.02]}}
+{"uid": "1658", "premise": "\" You could cut through the skepticism permeating the room with a knife. It didn't go unnoticed by Nelson. The silence was broken only by the gentle thumping of Duffy's tail against my loafer.", "hypothesis": "It was silent right before Duffy's tail thumping.", "label": "E", "metadata": {"context1": "\" You could cut through the skepticism permeating the room with a knife.", "context2": "It didn't go unnoticed by Nelson.", "target_sentence": "The silence was broken only by the gentle thumping of Duffy's tail against my loafer.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'broken'}", "trigger_type": "change_of_state", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.45, 100.0, 99.87, 99.4, 100.0]}}
+{"uid": "1663-neg", "premise": "\" I try to stop my sneakers from sliding. Water gets closer, stinging mist. I'm not falling toward it.", "hypothesis": "I was upright just before then.", "label": "N", "metadata": {"context1": "\" I try to stop my sneakers from sliding.", "context2": "Water gets closer, stinging mist.", "target_sentence": "I'm not falling toward it.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'falling'}", "trigger_type": "change_of_state", "annotator": "AP", "nli_labels": ["E", "E", "N", "N", "N"], "ratings": [99.77, 100.0, 20.82, 86.07, 50.45]}}
+{"uid": "1663", "premise": "\" I try to stop my sneakers from sliding. Water gets closer, stinging mist. I'm falling toward it.", "hypothesis": "I was upright just before then.", "label": "N", "metadata": {"context1": "\" I try to stop my sneakers from sliding.", "context2": "Water gets closer, stinging mist.", "target_sentence": "I'm falling toward it.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'falling'}", "trigger_type": "change_of_state", "annotator": "AP", "nli_labels": ["E", "N", "N", "N", "N"], "ratings": [90.42, 58.06, 92.32, 64.04, 91.6]}}
+{"uid": "1664-neg", "premise": "A Farewell to Abby  Then Ms. Bellamy's cat, Abby, didn't die.", "hypothesis": "Abby was alive before that.", "label": "E", "metadata": {"context1": "A Farewell to Abby", "context2": "", "target_sentence": "Then Ms. Bellamy's cat, Abby, didn't die.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'died'}", "trigger_type": "change_of_state", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [97.93, 100.0, 100.0, 100.0, 83.1]}}
+{"uid": "1664", "premise": "A Farewell to Abby  Then Ms. Bellamy's cat, Abby, died.", "hypothesis": "Abby was alive before that.", "label": "E", "metadata": {"context1": "A Farewell to Abby", "context2": "", "target_sentence": "Then Ms. Bellamy's cat, Abby, died.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'died'}", "trigger_type": "change_of_state", "annotator": "AP", "nli_labels": ["N", "N", "E", "E", "E"], "ratings": [80.48, 81.98, 98.24, 100.0, 99.62]}}
+{"uid": "1666-neg", "premise": "  Amid the attacks and counterattacks of the campaign, the Republican incumbent hasn't won support from several influential newspapers in the district.", "hypothesis": "Several influential newspapers were not previously supporting the Republican incumbent", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "Amid the attacks and counterattacks of the campaign, the Republican incumbent hasn't won support from several influential newspapers in the district.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'won'}", "trigger_type": "change_of_state", "annotator": "AP", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [52.1, 100.0, 94.47, 100.0, 99.98]}}
+{"uid": "1666", "premise": "  Amid the attacks and counterattacks of the campaign, the Republican incumbent has won support from several influential newspapers in the district.", "hypothesis": "Several influential newspapers were not previously supporting the Republican incumbent", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "Amid the attacks and counterattacks of the campaign, the Republican incumbent has won support from several influential newspapers in the district.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'won'}", "trigger_type": "change_of_state", "annotator": "AP", "nli_labels": ["N", "E", "N", "E", "N"], "ratings": [89.35, 97.19, 22.9, 88.04, 90.85]}}
+{"uid": "1667-neg", "premise": "She was 81 years old. LIMBAUGH: (Voiceover ) And she didn't die of lung cancer.", "hypothesis": "She was previously alive", "label": "E", "metadata": {"context1": "She was 81 years old.", "context2": "LIMBAUGH: (Voiceover )", "target_sentence": "And she didn't die of lung cancer.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'died'}", "trigger_type": "change_of_state", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1667", "premise": "She was 81 years old. LIMBAUGH: (Voiceover ) And she died of lung cancer.", "hypothesis": "She was previously alive", "label": "E", "metadata": {"context1": "She was 81 years old.", "context2": "LIMBAUGH: (Voiceover )", "target_sentence": "And she died of lung cancer.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'died'}", "trigger_type": "change_of_state", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1671-neg", "premise": "It cast eerie shadows and made everything it touched turn gold. Rodrigo held the light up high as Ipa lifted the door to the storage hut. The musty odor of dried corn and mildew didn't fill her nostrils.", "hypothesis": "Her nostrils didn't previously contain the odor of dried corn and mildew.", "label": "E", "metadata": {"context1": "It cast eerie shadows and made everything it touched turn gold.", "context2": "Rodrigo held the light up high as Ipa lifted the door to the storage hut.", "target_sentence": "The musty odor of dried corn and mildew didn't fill her nostrils.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'filled'}", "trigger_type": "change_of_state", "annotator": "AP", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [87.07, 100.0, 96.2, 97.84, 100.0]}}
+{"uid": "1671", "premise": "It cast eerie shadows and made everything it touched turn gold. Rodrigo held the light up high as Ipa lifted the door to the storage hut. The musty odor of dried corn and mildew filled her nostrils.", "hypothesis": "Her nostrils didn't previously contain the odor of dried corn and mildew.", "label": "E", "metadata": {"context1": "It cast eerie shadows and made everything it touched turn gold.", "context2": "Rodrigo held the light up high as Ipa lifted the door to the storage hut.", "target_sentence": "The musty odor of dried corn and mildew filled her nostrils.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'filled'}", "trigger_type": "change_of_state", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [97.19, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1675-neg", "premise": "Gehry would put an idea out there, get a reaction, then chuck it and do something else. \"  The $62-million Peter B. Lewis Building didn't open in June.", "hypothesis": "The Peter B. Lewis Building was not open before June", "label": "E", "metadata": {"context1": "Gehry would put an idea out there, get a reaction, then chuck it and do something else. \"", "context2": "", "target_sentence": "The $62-million Peter B. Lewis Building didn't open in June.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'opened'}", "trigger_type": "change_of_state", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 98.99]}}
+{"uid": "1675", "premise": "Gehry would put an idea out there, get a reaction, then chuck it and do something else. \"  The $62-million Peter B. Lewis Building opened in June.", "hypothesis": "The Peter B. Lewis Building was not open before June", "label": "E", "metadata": {"context1": "Gehry would put an idea out there, get a reaction, then chuck it and do something else. \"", "context2": "", "target_sentence": "The $62-million Peter B. Lewis Building opened in June.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'opened'}", "trigger_type": "change_of_state", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.19, 100.0, 100.0, 95.65]}}
+{"uid": "1676-neg", "premise": "Lowrey reels with an elbow, dropping Burnett to the lawn. But Burnett rolls and clips Lowrey's legs. Lowrey doesn't fall.", "hypothesis": "Lowrey was upright just before that.", "label": "N", "metadata": {"context1": "Lowrey reels with an elbow, dropping Burnett to the lawn.", "context2": "But Burnett rolls and clips Lowrey's legs.", "target_sentence": "Lowrey doesn't fall.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'falls'}", "trigger_type": "change_of_state", "annotator": "AP", "nli_labels": ["N", "N", "E", "E", "N"], "ratings": [97.65, 96.08, 100.0, 100.0, 94.47]}}
+{"uid": "1676", "premise": "Lowrey reels with an elbow, dropping Burnett to the lawn. But Burnett rolls and clips Lowrey's legs. Lowrey falls.", "hypothesis": "Lowrey was upright just before that.", "label": "E", "metadata": {"context1": "Lowrey reels with an elbow, dropping Burnett to the lawn.", "context2": "But Burnett rolls and clips Lowrey's legs.", "target_sentence": "Lowrey falls.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'falls'}", "trigger_type": "change_of_state", "annotator": "AP", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 88.33, 100.0, 99.28, 95.84]}}
+{"uid": "1678-neg", "premise": "Meanwhile, Giotto completed yet another historic first on July 2, 1990, when it passed within 23,000 km of Earth and became the first spacecraft to use our planet's gravity to change orbit. The gravitational assist flung the spacecraft toward Comet Grigg-Skjellerup to rendezvous almost two years later. Mission control didn't return Giotto to hibernation.", "hypothesis": "Giotto hadn't been in hibernation right before then.", "label": "N", "metadata": {"context1": "Meanwhile, Giotto completed yet another historic first on July 2, 1990, when it passed within 23,000 km of Earth and became the first spacecraft to use our planet's gravity to change orbit.", "context2": "The gravitational assist flung the spacecraft toward Comet Grigg-Skjellerup to rendezvous almost two years later.", "target_sentence": "Mission control didn't return Giotto to hibernation.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'returned'}", "trigger_type": "change_of_state", "annotator": "AP", "nli_labels": ["N", "N", "E", "N", "N"], "ratings": [13.93, 2.35, 100.0, 61.0, 18.48]}}
+{"uid": "1678", "premise": "Meanwhile, Giotto completed yet another historic first on July 2, 1990, when it passed within 23,000 km of Earth and became the first spacecraft to use our planet's gravity to change orbit. The gravitational assist flung the spacecraft toward Comet Grigg-Skjellerup to rendezvous almost two years later. Mission control returned Giotto to hibernation.", "hypothesis": "Giotto hadn't been in hibernation right before then.", "label": "E", "metadata": {"context1": "Meanwhile, Giotto completed yet another historic first on July 2, 1990, when it passed within 23,000 km of Earth and became the first spacecraft to use our planet's gravity to change orbit.", "context2": "The gravitational assist flung the spacecraft toward Comet Grigg-Skjellerup to rendezvous almost two years later.", "target_sentence": "Mission control returned Giotto to hibernation.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'returned'}", "trigger_type": "change_of_state", "annotator": "AP", "nli_labels": ["N", "E", "E", "C", "E"], "ratings": [4.99, 99.34, 100.0, 1.59, 100.0]}}
+{"uid": "1679-neg", "premise": "DAWN STEEL, 51, brash, market-savvy studio chief; of a brain tumor; in Los Angeles. In her merchandising days at Penthouse, Steel learned to recognize a hot product, whether it was a amaryllis plant, Gucci-labeled toilet paper (her own invention) or, later at Paramount, a movie like Flashdance or Top Gun. She wasn't fired while giving birth to her daughter, and rebounded in true celluloid style, becoming the first woman to head a major studio: Columbia Pictures.", "hypothesis": "She was employed before giving birth to her dauther.", "label": "E", "metadata": {"context1": "DAWN STEEL, 51, brash, market-savvy studio chief; of a brain tumor; in Los Angeles.", "context2": "In her merchandising days at Penthouse, Steel learned to recognize a hot product, whether it was a amaryllis plant, Gucci-labeled toilet paper (her own invention) or, later at Paramount, a movie like Flashdance or Top Gun.", "target_sentence": "She wasn't fired while giving birth to her daughter, and rebounded in true celluloid style, becoming the first woman to head a major studio: Columbia Pictures.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'fired'}", "trigger_type": "change_of_state", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1679", "premise": "DAWN STEEL, 51, brash, market-savvy studio chief; of a brain tumor; in Los Angeles. In her merchandising days at Penthouse, Steel learned to recognize a hot product, whether it was a amaryllis plant, Gucci-labeled toilet paper (her own invention) or, later at Paramount, a movie like Flashdance or Top Gun. She was fired while giving birth to her daughter, and rebounded in true celluloid style, becoming the first woman to head a major studio: Columbia Pictures.", "hypothesis": "She was employed before giving birth to her dauther.", "label": "E", "metadata": {"context1": "DAWN STEEL, 51, brash, market-savvy studio chief; of a brain tumor; in Los Angeles.", "context2": "In her merchandising days at Penthouse, Steel learned to recognize a hot product, whether it was a amaryllis plant, Gucci-labeled toilet paper (her own invention) or, later at Paramount, a movie like Flashdance or Top Gun.", "target_sentence": "She was fired while giving birth to her daughter, and rebounded in true celluloid style, becoming the first woman to head a major studio: Columbia Pictures.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'fired'}", "trigger_type": "change_of_state", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "168-neg", "premise": "This time a researcher, Dr. Bob Brown, has given her plenty of advance notice about an upcoming publication. But Jones' heart sinks when she hears that Brown's article describes the elucidation of a single step in a complex intracellular signal transduction pathway--something that Jones knows from experience reporters will not consider newsworthy. She takes a deep breath but doesn't prepare to explain to Brown why she does not think it would be a good idea to write a news release in this case.", "hypothesis": "She does not think it would be a good idea to write a news release in this case.", "label": "E", "metadata": {"context1": "This time a researcher, Dr. Bob Brown, has given her plenty of advance notice about an upcoming publication.", "context2": "But Jones' heart sinks when she hears that Brown's article describes the elucidation of a single step in a complex intracellular signal transduction pathway--something that Jones knows from experience reporters will not consider newsworthy.", "target_sentence": "She takes a deep breath but doesn't prepare to explain to Brown why she does not think it would be a good idea to write a news release in this case.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'explain', 'embedded_question': 'why she does not think it would be a good idea to write a news release in this case'}", "trigger_type": "embedded_question", "annotator": "ZZ", "nli_labels": ["E", "E", "N", "N", "E"], "ratings": [99.69, 99.79, 80.48, 76.48, 100.0]}}
+{"uid": "168", "premise": "This time a researcher, Dr. Bob Brown, has given her plenty of advance notice about an upcoming publication. But Jones' heart sinks when she hears that Brown's article describes the elucidation of a single step in a complex intracellular signal transduction pathway--something that Jones knows from experience reporters will not consider newsworthy. She takes a deep breath and prepares to explain to Brown why she does not think it would be a good idea to write a news release in this case.", "hypothesis": "She does not think it would be a good idea to write a news release in this case.", "label": "E", "metadata": {"context1": "This time a researcher, Dr. Bob Brown, has given her plenty of advance notice about an upcoming publication.", "context2": "But Jones' heart sinks when she hears that Brown's article describes the elucidation of a single step in a complex intracellular signal transduction pathway--something that Jones knows from experience reporters will not consider newsworthy.", "target_sentence": "She takes a deep breath and prepares to explain to Brown why she does not think it would be a good idea to write a news release in this case.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'explain', 'embedded_question': 'why she does not think it would be a good idea to write a news release in this case'}", "trigger_type": "embedded_question", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [91.02, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1681-neg", "premise": "qwq @ ( Footage-of-plane's Mr-L-ZAMPERINI: The plane didn't explode.", "hypothesis": "The plane was in an unexploded state just before that.", "label": "E", "metadata": {"context1": "qwq @", "context2": "( Footage-of-plane's Mr-L-ZAMPERINI:", "target_sentence": "The plane didn't explode.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'exploded'}", "trigger_type": "change_of_state", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.99, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1681", "premise": "qwq @ ( Footage-of-plane's Mr-L-ZAMPERINI: The plane exploded.", "hypothesis": "The plane was in an unexploded state just before that.", "label": "E", "metadata": {"context1": "qwq @", "context2": "( Footage-of-plane's Mr-L-ZAMPERINI:", "target_sentence": "The plane exploded.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'exploded'}", "trigger_type": "change_of_state", "annotator": "AP", "nli_labels": ["N", "E", "E", "E", "N"], "ratings": [91.6, 99.81, 100.0, 100.0, 54.64]}}
+{"uid": "1686-neg", "premise": "MASON  But four years ago, the king didn't die of cancer, leaving Queen Noor a widow.", "hypothesis": "The king was alive before four years ago.", "label": "E", "metadata": {"context1": "MASON", "context2": "", "target_sentence": "But four years ago, the king didn't die of cancer, leaving Queen Noor a widow.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'died'}", "trigger_type": "change_of_state", "annotator": "AP", "nli_labels": ["E", "N", "E", "E", "N"], "ratings": [100.0, 63.61, 97.84, 100.0, 33.55]}}
+{"uid": "1686", "premise": "MASON  But four years ago, the king died of cancer, leaving Queen Noor a widow.", "hypothesis": "The king was alive before four years ago.", "label": "E", "metadata": {"context1": "MASON", "context2": "", "target_sentence": "But four years ago, the king died of cancer, leaving Queen Noor a widow.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'died'}", "trigger_type": "change_of_state", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1687-neg", "premise": "\"Nothing.\" He'd been thirty-one when she married him, tall and gangly with a shock of black hair that refused to stay combed. The hair hadn't remained intact and he'd filled out some, but in truth he'd aged well.", "hypothesis": "His hair was present before then.", "label": "E", "metadata": {"context1": "\"Nothing.\"", "context2": "He'd been thirty-one when she married him, tall and gangly with a shock of black hair that refused to stay combed.", "target_sentence": "The hair hadn't remained intact and he'd filled out some, but in truth he'd aged well.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'remained'}", "trigger_type": "change_of_state", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.06, 99.93, 99.9, 100.0, 98.65]}}
+{"uid": "1687", "premise": "\"Nothing.\" He'd been thirty-one when she married him, tall and gangly with a shock of black hair that refused to stay combed. The hair had remained intact and he'd filled out some, but in truth he'd aged well.", "hypothesis": "His hair was present before then.", "label": "E", "metadata": {"context1": "\"Nothing.\"", "context2": "He'd been thirty-one when she married him, tall and gangly with a shock of black hair that refused to stay combed.", "target_sentence": "The hair had remained intact and he'd filled out some, but in truth he'd aged well.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'remained'}", "trigger_type": "change_of_state", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.43, 100.0, 100.0, 99.12]}}
+{"uid": "1688-neg", "premise": "Only God's will shall prevail.  Agnes doesn't remain shy.", "hypothesis": "Agnes was shy before.", "label": "E", "metadata": {"context1": "Only God's will shall prevail.", "context2": "", "target_sentence": "Agnes doesn't remain shy.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'remains'}", "trigger_type": "change_of_state", "annotator": "AP", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [99.71, 71.54, 100.0, 100.0, 100.0]}}
+{"uid": "1688", "premise": "Only God's will shall prevail.  Agnes remains shy.", "hypothesis": "Agnes was shy before.", "label": "E", "metadata": {"context1": "Only God's will shall prevail.", "context2": "", "target_sentence": "Agnes remains shy.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'remains'}", "trigger_type": "change_of_state", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 97.93, 100.0, 100.0, 100.0]}}
+{"uid": "169", "premise": " EVE # I know exactly what you always tell me:", "hypothesis": "You always tell me something.", "label": "N", "metadata": {"context1": "", "context2": "EVE #", "target_sentence": "I know exactly what you always tell me:", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': 'exactly what you always tell me :'}", "trigger_type": "embedded_question", "annotator": "ZZ", "nli_labels": ["N", "N", "N", "N", "E"], "ratings": [57.91, 91.1, 65.89, 89.35, 98.29]}}
+{"uid": "1691-neg", "premise": "YOUNGER DEREK, donning a flat-top haircut and no tattoos, walks into the kitchen. The smiling athlete has his backpack and blue VENICE HIGH gym bag. He doesn't drop it all onto the ground and sits at the table.", "hypothesis": "His backpack wasn't on the ground right before then.", "label": "E", "metadata": {"context1": "YOUNGER DEREK, donning a flat-top haircut and no tattoos, walks into the kitchen.", "context2": "The smiling athlete has his backpack and blue VENICE HIGH gym bag.", "target_sentence": "He doesn't drop it all onto the ground and sits at the table.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'drops'}", "trigger_type": "change_of_state", "annotator": "AP", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [96.82, 99.46, 84.51, 99.64, 96.98]}}
+{"uid": "1691", "premise": "YOUNGER DEREK, donning a flat-top haircut and no tattoos, walks into the kitchen. The smiling athlete has his backpack and blue VENICE HIGH gym bag. He drops it all onto the ground and sits at the table.", "hypothesis": "His backpack wasn't on the ground right before then.", "label": "E", "metadata": {"context1": "YOUNGER DEREK, donning a flat-top haircut and no tattoos, walks into the kitchen.", "context2": "The smiling athlete has his backpack and blue VENICE HIGH gym bag.", "target_sentence": "He drops it all onto the ground and sits at the table.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'drops'}", "trigger_type": "change_of_state", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 99.34]}}
+{"uid": "1692-neg", "premise": "Mr-SEEGER: Thank you, Neal. CONAN: Iconic folk musician Pete Seeger didn't win a Grammy in 2008 for his album \"", "hypothesis": "Pete Seeger's 2008 was in the running for a Grammy.", "label": "E", "metadata": {"context1": "Mr-SEEGER:", "context2": "Thank you, Neal. CONAN:", "target_sentence": "Iconic folk musician Pete Seeger didn't win a Grammy in 2008 for his album \"", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'won'}", "trigger_type": "change_of_state", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [98.41, 100.0, 99.64, 92.25, 50.0]}}
+{"uid": "1692", "premise": "Mr-SEEGER: Thank you, Neal. CONAN: Iconic folk musician Pete Seeger won a Grammy in 2008 for his album \"", "hypothesis": "Pete Seeger's 2008 was in the running for a Grammy.", "label": "E", "metadata": {"context1": "Mr-SEEGER:", "context2": "Thank you, Neal. CONAN:", "target_sentence": "Iconic folk musician Pete Seeger won a Grammy in 2008 for his album \"", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'won'}", "trigger_type": "change_of_state", "annotator": "AP", "nli_labels": ["E", "E", "N", "C", "E"], "ratings": [100.0, 100.0, 82.87, 0.36, 95.53]}}
+{"uid": "1693-neg", "premise": " But the twinkle in his eye masks toughness, arrogance, even ruthlessness. He has stayed on top of Uganda by being soft.", "hypothesis": "He was previously on top of Uganda", "label": "E", "metadata": {"context1": "", "context2": "But the twinkle in his eye masks toughness, arrogance, even ruthlessness.", "target_sentence": "He has stayed on top of Uganda by being soft.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'stayed'}", "trigger_type": "change_of_state", "annotator": "AP", "nli_labels": ["E", "E", "N", "E", "N"], "ratings": [100.0, 99.94, 91.84, 100.0, 50.6]}}
+{"uid": "1693", "premise": " But the twinkle in his eye masks toughness, arrogance, even ruthlessness. He has not stayed on top of Uganda by being soft.", "hypothesis": "He was previously on top of Uganda", "label": "E", "metadata": {"context1": "", "context2": "But the twinkle in his eye masks toughness, arrogance, even ruthlessness.", "target_sentence": "He has not stayed on top of Uganda by being soft.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'stayed'}", "trigger_type": "change_of_state", "annotator": "AP", "nli_labels": ["N", "E", "E", "N", "E"], "ratings": [6.09, 99.73, 100.0, 94.05, 98.88]}}
+{"uid": "1694-neg", "premise": " A month before school ended, the honors student's parents received a' progress report' from Oberon-Andy had three F's and two D's. And it was just his poor marks that worried Andy's teachers.", "hypothesis": "Something worried Andy's teachers", "label": "E", "metadata": {"context1": "", "context2": "A month before school ended, the honors student's parents received a' progress report' from Oberon-Andy had three F's and two D's.", "target_sentence": "And it was just his poor marks that worried Andy's teachers.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1694", "premise": " A month before school ended, the honors student's parents received a' progress report' from Oberon-Andy had three F's and two D's. And it wasn't just his poor marks that worried Andy's teachers.", "hypothesis": "Something worried Andy's teachers", "label": "E", "metadata": {"context1": "", "context2": "A month before school ended, the honors student's parents received a' progress report' from Oberon-Andy had three F's and two D's.", "target_sentence": "And it wasn't just his poor marks that worried Andy's teachers.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 99.79]}}
+{"uid": "1697-neg", "premise": "Again, let me draw your attention to the fact that lieutenant governor of the state of California is running TORRES Well, that's my whole point. That my whole point, that it wasn't Darrell Issa who brought $1.9 million.", "hypothesis": "Someone brought $1.9 million.", "label": "E", "metadata": {"context1": "Again, let me draw your attention to the fact that lieutenant governor of the state of California is running TORRES", "context2": "Well, that's my whole point.", "target_sentence": "That my whole point, that it wasn't Darrell Issa who brought $1.9 million.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 100.0, 100.0, 90.67, 100.0]}}
+{"uid": "1697", "premise": "Again, let me draw your attention to the fact that lieutenant governor of the state of California is running TORRES Well, that's my whole point. That my whole point, that it was Darrell Issa who brought $1.9 million.", "hypothesis": "Someone brought $1.9 million.", "label": "E", "metadata": {"context1": "Again, let me draw your attention to the fact that lieutenant governor of the state of California is running TORRES", "context2": "Well, that's my whole point.", "target_sentence": "That my whole point, that it was Darrell Issa who brought $1.9 million.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1699-neg", "premise": "  Usually it's not low-end beer brands that use female body parts to push product, and winemakers exercise more taste.", "hypothesis": "Some company uses female body parts to push product.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "Usually it's not low-end beer brands that use female body parts to push product, and winemakers exercise more taste.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 99.77]}}
+{"uid": "1699", "premise": "  Usually it's low-end beer brands that use female body parts to push product, and winemakers exercise more taste.", "hypothesis": "Some company uses female body parts to push product.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "Usually it's low-end beer brands that use female body parts to push product, and winemakers exercise more taste.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.96, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "170-neg", "premise": "May-August2014-23 \" Well, those pretty legs will be filled with varicose veins in ten years. You won't see what I mean.", "hypothesis": "I mean something,", "label": "E", "metadata": {"context1": "May-August2014-23", "context2": "\" Well, those pretty legs will be filled with varicose veins in ten years.", "target_sentence": "You won't see what I mean.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'see', 'embedded_question': 'what I mean'}", "trigger_type": "embedded_question", "annotator": "ZZ", "nli_labels": ["E", "N", "E", "E", "N"], "ratings": [98.37, 37.98, 96.2, 100.0, 79.3]}}
+{"uid": "170", "premise": "May-August2014-23 \" Well, those pretty legs will be filled with varicose veins in ten years. You'll see what I mean.", "hypothesis": "I mean something,", "label": "E", "metadata": {"context1": "May-August2014-23", "context2": "\" Well, those pretty legs will be filled with varicose veins in ten years.", "target_sentence": "You'll see what I mean.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'see', 'embedded_question': 'what I mean'}", "trigger_type": "embedded_question", "annotator": "ZZ", "nli_labels": ["E", "N", "E", "N", "E"], "ratings": [100.0, 88.14, 99.02, 87.66, 100.0]}}
+{"uid": "1703-neg", "premise": "  But it's not the opening and closing scenes that show just how powerful the show can be even when no one is talking.", "hypothesis": "Something shows just how powerful the show can be even when no one is talking.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "But it's not the opening and closing scenes that show just how powerful the show can be even when no one is talking.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.16, 100.0, 99.34, 100.0, 100.0]}}
+{"uid": "1703", "premise": "  But it's the opening and closing scenes that show just how powerful the show can be even when no one is talking.", "hypothesis": "Something shows just how powerful the show can be even when no one is talking.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "But it's the opening and closing scenes that show just how powerful the show can be even when no one is talking.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1706-neg", "premise": "\"There was nothing he could do,\" whispered my grandmother. \"Nothing!\" My dead cousin's father shouted to my uncle though he knew it wasn't my grandmother who had spoken. \"", "hypothesis": "Someone had spoken.", "label": "E", "metadata": {"context1": "\"There was nothing he could do,\" whispered my grandmother.", "context2": "\"Nothing!\"", "target_sentence": "My dead cousin's father shouted to my uncle though he knew it wasn't my grandmother who had spoken. \"", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 98.02, 100.0]}}
+{"uid": "1706", "premise": "\"There was nothing he could do,\" whispered my grandmother. \"Nothing!\" My dead cousin's father shouted to my uncle though he knew it was my grandmother who had spoken. \"", "hypothesis": "Someone had spoken.", "label": "E", "metadata": {"context1": "\"There was nothing he could do,\" whispered my grandmother.", "context2": "\"Nothing!\"", "target_sentence": "My dead cousin's father shouted to my uncle though he knew it was my grandmother who had spoken. \"", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.4, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1707-neg", "premise": " okay? So it's not the law that is preventing us from pushing into this area", "hypothesis": "Something is preventing us from pushing into this area", "label": "E", "metadata": {"context1": "", "context2": "okay?", "target_sentence": "So it's not the law that is preventing us from pushing into this area", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [89.71, 100.0, 93.4, 100.0, 100.0]}}
+{"uid": "1707", "premise": " okay? So it's the law that is preventing us from pushing into this area", "hypothesis": "Something is preventing us from pushing into this area", "label": "E", "metadata": {"context1": "", "context2": "okay?", "target_sentence": "So it's the law that is preventing us from pushing into this area", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [97.25, 100.0, 99.59, 100.0, 100.0]}}
+{"uid": "1708-neg", "premise": "The British have continued capturing American ships. Wasn't his brother impressed by the British into their navy? Anyway, it's only the French who were, and still are, angry about Mr. Jay's treaty.", "hypothesis": "Someone was, and still is, angry about Mr. Jay's treaty", "label": "E", "metadata": {"context1": "The British have continued capturing American ships.", "context2": "Wasn't his brother impressed by the British into their navy?", "target_sentence": "Anyway, it's only the French who were, and still are, angry about Mr. Jay's treaty.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.94, 100.0, 99.28, 99.54, 100.0]}}
+{"uid": "1708", "premise": "The British have continued capturing American ships. Wasn't his brother impressed by the British into their navy? Anyway, it's not only the French who were, and still are, angry about Mr. Jay's treaty.", "hypothesis": "Someone was, and still is, angry about Mr. Jay's treaty", "label": "E", "metadata": {"context1": "The British have continued capturing American ships.", "context2": "Wasn't his brother impressed by the British into their navy?", "target_sentence": "Anyway, it's not only the French who were, and still are, angry about Mr. Jay's treaty.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 95.01, 100.0]}}
+{"uid": "171-neg", "premise": "By now, Wakan was beginning to believe the little man's stories; he also believed that Rist was incapable of telling lies. I don't think Motherland could survive without falsehoods, he concluded. 1 don't wonder how Rist's people can ever give orders, or transact business deals, or keep the family peaceful at home, up there in those icy lands, without the benefit of lying?", "hypothesis": "Rist's people can give orders, or transact business deals, or keep the family peaceful at home, up there in those icy lands, without the benefit of lying", "label": "N", "metadata": {"context1": "By now, Wakan was beginning to believe the little man's stories; he also believed that Rist was incapable of telling lies.", "context2": "I don't think Motherland could survive without falsehoods, he concluded.", "target_sentence": "1 don't wonder how Rist's people can ever give orders, or transact business deals, or keep the family peaceful at home, up there in those icy lands, without the benefit of lying?", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'wonder', 'embedded_question': \"how Rist 's people can ever give orders , or transact business deals , or keep the family peaceful at home , up there in those icy lands , without the benefit of lying\"}", "trigger_type": "embedded_question", "annotator": "ZZ", "nli_labels": ["N", "E", "N", "N", "N"], "ratings": [87.95, 99.64, 19.87, 20.46, 14.45]}}
+{"uid": "171", "premise": "By now, Wakan was beginning to believe the little man's stories; he also believed that Rist was incapable of telling lies. I don't think Motherland could survive without falsehoods, he concluded. 1 wonder how Rist's people can ever give orders, or transact business deals, or keep the family peaceful at home, up there in those icy lands, without the benefit of lying?", "hypothesis": "Rist's people can give orders, or transact business deals, or keep the family peaceful at home, up there in those icy lands, without the benefit of lying", "label": "N", "metadata": {"context1": "By now, Wakan was beginning to believe the little man's stories; he also believed that Rist was incapable of telling lies.", "context2": "I don't think Motherland could survive without falsehoods, he concluded.", "target_sentence": "1 wonder how Rist's people can ever give orders, or transact business deals, or keep the family peaceful at home, up there in those icy lands, without the benefit of lying?", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'wonder', 'embedded_question': \"how Rist 's people can ever give orders , or transact business deals , or keep the family peaceful at home , up there in those icy lands , without the benefit of lying\"}", "trigger_type": "embedded_question", "annotator": "ZZ", "nli_labels": ["C", "N", "N", "N", "N"], "ratings": [1.12, 49.7, 19.87, 19.87, 79.18]}}
+{"uid": "1710-neg", "premise": "Speaker B: what's going to come out of this, not because of Democrats, but because people, Trump supporters and other things, you showed up at ours, we're going to show up at yours. this only gets worse.\nSpeaker A: Well, I'm not sure about that, but it isn't Donald Trump who has been inciting the violence.", "hypothesis": "Someone has been inciting the violence.", "label": "E", "metadata": {"context1": "what's going to come out of this, not because of Democrats, but because people, Trump supporters and other things, you showed up at ours, we're going to show up at yours.", "context2": "this only gets worse.", "target_sentence": "Well, I'm not sure about that, but it isn't Donald Trump who has been inciting the violence.", "speaker_context1": "MATTHEW-DOWD", "speaker_context2": "MATTHEW-DOWD", "speaker_target": "JORGE-RAMOS", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 99.54, 100.0, 71.54, 96.88]}}
+{"uid": "1710", "premise": "Speaker B: what's going to come out of this, not because of Democrats, but because people, Trump supporters and other things, you showed up at ours, we're going to show up at yours. this only gets worse.\nSpeaker A: Well, I'm not sure about that, but it is Donald Trump who has been inciting the violence.", "hypothesis": "Someone has been inciting the violence.", "label": "E", "metadata": {"context1": "what's going to come out of this, not because of Democrats, but because people, Trump supporters and other things, you showed up at ours, we're going to show up at yours.", "context2": "this only gets worse.", "target_sentence": "Well, I'm not sure about that, but it is Donald Trump who has been inciting the violence.", "speaker_context1": "MATTHEW-DOWD", "speaker_context2": "MATTHEW-DOWD", "speaker_target": "JORGE-RAMOS", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 95.71, 100.0, 100.0]}}
+{"uid": "1711-neg", "premise": "That's called family. \"  Turns out, it wasn't Frehley who approached Simmons about being a part of the St.", "hypothesis": "Someone approached Simmon about being a part of the St.", "label": "E", "metadata": {"context1": "That's called family. \"", "context2": "", "target_sentence": "Turns out, it wasn't Frehley who approached Simmons about being a part of the St.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 98.37, 96.77, 86.27, 100.0]}}
+{"uid": "1711", "premise": "That's called family. \"  Turns out, it was Frehley who approached Simmons about being a part of the St.", "hypothesis": "Someone approached Simmon about being a part of the St.", "label": "E", "metadata": {"context1": "That's called family. \"", "context2": "", "target_sentence": "Turns out, it was Frehley who approached Simmons about being a part of the St.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 92.32, 99.4, 100.0]}}
+{"uid": "1712-neg", "premise": "  Ironically, it wasn't the 68ers--who once reviled the postwar West German regime and regarded it as little better than a mere continuation of Nazi Germany--who created what has been nostalgically referred to as the \" Bonn Republic.", "hypothesis": "Someone created what has been nostalgically referred to as the \"Bonn Republic\"", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "Ironically, it wasn't the 68ers--who once reviled the postwar West German regime and regarded it as little better than a mere continuation of Nazi Germany--who created what has been nostalgically referred to as the \" Bonn Republic.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.85, 100.0, 100.0, 100.0]}}
+{"uid": "1712", "premise": "  Ironically, it was the 68ers--who once reviled the postwar West German regime and regarded it as little better than a mere continuation of Nazi Germany--who created what has been nostalgically referred to as the \" Bonn Republic.", "hypothesis": "Someone created what has been nostalgically referred to as the \"Bonn Republic\"", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "Ironically, it was the 68ers--who once reviled the postwar West German regime and regarded it as little better than a mere continuation of Nazi Germany--who created what has been nostalgically referred to as the \" Bonn Republic.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [97.74, 99.59, 99.22, 99.54, 100.0]}}
+{"uid": "1718-neg", "premise": "  For Vic Junior it wasn't his mother's scorn that hurt more than losing per se.", "hypothesis": "Something hurt more than losing", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "For Vic Junior it wasn't his mother's scorn that hurt more than losing per se.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["N", "N", "E", "N", "E"], "ratings": [91.1, 82.76, 99.12, 74.83, 100.0]}}
+{"uid": "1718", "premise": "  For Vic Junior it was his mother's scorn that hurt more than losing per se.", "hypothesis": "Something hurt more than losing", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "For Vic Junior it was his mother's scorn that hurt more than losing per se.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1719-neg", "premise": "Then that smile again, this time bordering on sheepish, his hazel green eyes flashing. \" Hard to believe, huh? \" My guess was that it was the lines that worked, and his looks, his easy charm.", "hypothesis": "Something worked.", "label": "E", "metadata": {"context1": "Then that smile again, this time bordering on sheepish, his hazel green eyes flashing. \"", "context2": "Hard to believe, huh?", "target_sentence": "\" My guess was that it was the lines that worked, and his looks, his easy charm.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1719", "premise": "Then that smile again, this time bordering on sheepish, his hazel green eyes flashing. \" Hard to believe, huh? \" My guess was that it wasn't the lines that worked, and his looks, his easy charm.", "hypothesis": "Something worked.", "label": "E", "metadata": {"context1": "Then that smile again, this time bordering on sheepish, his hazel green eyes flashing. \"", "context2": "Hard to believe, huh?", "target_sentence": "\" My guess was that it wasn't the lines that worked, and his looks, his easy charm.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["E", "N", "N", "E", "E"], "ratings": [100.0, 79.78, 53.6, 98.92, 100.0]}}
+{"uid": "1723-neg", "premise": " As Bourdieu wrote in Distinct ion, \"one may choose to emphasize either the complicities which unite them in hostility or the hostilities which separate them in complicity.\" However, it isn't the structural homologies that exist between the holders of cultural capital and the holders of economic and political capital within the field of power that consign artists and intellectuals to their place within \" divisions of the labor of domination \"--material and symbolic.", "hypothesis": "Something consigns artists and intellectuals to their place within \"divisions of the labor of domination\"", "label": "E", "metadata": {"context1": "", "context2": "As Bourdieu wrote in Distinct ion, \"one may choose to emphasize either the complicities which unite them in hostility or the hostilities which separate them in complicity.\"", "target_sentence": "However, it isn't the structural homologies that exist between the holders of cultural capital and the holders of economic and political capital within the field of power that consign artists and intellectuals to their place within \" divisions of the labor of domination \"--material and symbolic.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [98.99, 100.0, 82.65, 100.0, 100.0]}}
+{"uid": "1723", "premise": " As Bourdieu wrote in Distinct ion, \"one may choose to emphasize either the complicities which unite them in hostility or the hostilities which separate them in complicity.\" However, it is the structural homologies that exist between the holders of cultural capital and the holders of economic and political capital within the field of power that consign artists and intellectuals to their place within \" divisions of the labor of domination \"--material and symbolic.", "hypothesis": "Something consigns artists and intellectuals to their place within \"divisions of the labor of domination\"", "label": "N", "metadata": {"context1": "", "context2": "As Bourdieu wrote in Distinct ion, \"one may choose to emphasize either the complicities which unite them in hostility or the hostilities which separate them in complicity.\"", "target_sentence": "However, it is the structural homologies that exist between the holders of cultural capital and the holders of economic and political capital within the field of power that consign artists and intellectuals to their place within \" divisions of the labor of domination \"--material and symbolic.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["N", "N", "N", "N", "E"], "ratings": [91.35, 23.27, 92.56, 81.52, 98.73]}}
+{"uid": "1726-neg", "premise": "  But it wasn't the things that we didn't talk about that seemed most present.", "hypothesis": "Something seemed most present", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "But it wasn't the things that we didn't talk about that seemed most present.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 95.84]}}
+{"uid": "1726", "premise": "  But it was the things that we didn't talk about that seemed most present.", "hypothesis": "Something seemed most present", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "But it was the things that we didn't talk about that seemed most present.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1727-neg", "premise": "It is a truism of immigration historiography that the masses of immigrants brought no sense of nationality to America with them, only local identities and allegiances. This may indeed have been true in a day-to-day sense. But it was only the leaders who had memories of nationalist calls upon their loyalties.", "hypothesis": "Someone had memories of nationalist calls upon their loyalties", "label": "E", "metadata": {"context1": "It is a truism of immigration historiography that the masses of immigrants brought no sense of nationality to America with them, only local identities and allegiances.", "context2": "This may indeed have been true in a day-to-day sense.", "target_sentence": "But it was only the leaders who had memories of nationalist calls upon their loyalties.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["N", "N", "E", "E", "E"], "ratings": [88.33, 89.62, 100.0, 100.0, 94.81]}}
+{"uid": "1727", "premise": "It is a truism of immigration historiography that the masses of immigrants brought no sense of nationality to America with them, only local identities and allegiances. This may indeed have been true in a day-to-day sense. But it was not only the leaders who had memories of nationalist calls upon their loyalties.", "hypothesis": "Someone had memories of nationalist calls upon their loyalties", "label": "E", "metadata": {"context1": "It is a truism of immigration historiography that the masses of immigrants brought no sense of nationality to America with them, only local identities and allegiances.", "context2": "This may indeed have been true in a day-to-day sense.", "target_sentence": "But it was not only the leaders who had memories of nationalist calls upon their loyalties.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 93.17, 100.0]}}
+{"uid": "1729-neg", "premise": "I do believe they have the right to make that choice. Schorr: So it's not only male denseness that makes me say that--that seems to be not in the same category as AZT?", "hypothesis": "Something makes me say that", "label": "E", "metadata": {"context1": "I do believe they have the right to make that choice.", "context2": "Schorr:", "target_sentence": "So it's not only male denseness that makes me say that--that seems to be not in the same category as AZT?", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [99.34, 49.25, 100.0, 100.0, 100.0]}}
+{"uid": "1729", "premise": "I do believe they have the right to make that choice. Schorr: So it's only male denseness that makes me say that--that seems to be not in the same category as AZT?", "hypothesis": "Something makes me say that", "label": "E", "metadata": {"context1": "I do believe they have the right to make that choice.", "context2": "Schorr:", "target_sentence": "So it's only male denseness that makes me say that--that seems to be not in the same category as AZT?", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [95.14, 99.16, 99.31, 94.4, 99.37]}}
+{"uid": "173-neg", "premise": "For Phil, the Open (we super-experts all said) was the major he would never win. Not with his towering ball flight, his putting stroke built for speed, his impatience in the face of better-hit-a-provo rough. You don't know how this Muirfield story ends.", "hypothesis": "This Muirfield story ends.", "label": "E", "metadata": {"context1": "For Phil, the Open (we super-experts all said) was the major he would never win.", "context2": "Not with his towering ball flight, his putting stroke built for speed, his impatience in the face of better-hit-a-provo rough.", "target_sentence": "You don't know how this Muirfield story ends.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': 'how this Muirfield story ends'}", "trigger_type": "embedded_question", "annotator": "ZZ", "nli_labels": ["N", "E", "N", "E", "E"], "ratings": [2.6, 98.84, 12.93, 100.0, 99.87]}}
+{"uid": "173", "premise": "For Phil, the Open (we super-experts all said) was the major he would never win. Not with his towering ball flight, his putting stroke built for speed, his impatience in the face of better-hit-a-provo rough. You know how this Muirfield story ends.", "hypothesis": "This Muirfield story ends.", "label": "E", "metadata": {"context1": "For Phil, the Open (we super-experts all said) was the major he would never win.", "context2": "Not with his towering ball flight, his putting stroke built for speed, his impatience in the face of better-hit-a-provo rough.", "target_sentence": "You know how this Muirfield story ends.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': 'how this Muirfield story ends'}", "trigger_type": "embedded_question", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 91.84, 97.79, 100.0, 100.0]}}
+{"uid": "1730-neg", "premise": " However the study of pathology in dry bone specimens is not easy, as many diseases and injuries only affect soft tissues so do not leave a trace. With the exception of acute trauma, such as bone breakage, it is not usually only long-standing (chronic) diseases and injuries that affect the skeleton, because in cases where the animal's immune system overcomes the disease or the animal dies fairly rapidly the skeleton is unaffected.", "hypothesis": "Something affects the animals' skeleton", "label": "E", "metadata": {"context1": "", "context2": "However the study of pathology in dry bone specimens is not easy, as many diseases and injuries only affect soft tissues so do not leave a trace.", "target_sentence": "With the exception of acute trauma, such as bone breakage, it is not usually only long-standing (chronic) diseases and injuries that affect the skeleton, because in cases where the animal's immune system overcomes the disease or the animal dies fairly rapidly the skeleton is unaffected.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 94.54, 100.0, 100.0, 100.0]}}
+{"uid": "1730", "premise": " However the study of pathology in dry bone specimens is not easy, as many diseases and injuries only affect soft tissues so do not leave a trace. With the exception of acute trauma, such as bone breakage, it is usually only long-standing (chronic) diseases and injuries that affect the skeleton, because in cases where the animal's immune system overcomes the disease or the animal dies fairly rapidly the skeleton is unaffected.", "hypothesis": "Something affects the animals' skeleton", "label": "N", "metadata": {"context1": "", "context2": "However the study of pathology in dry bone specimens is not easy, as many diseases and injuries only affect soft tissues so do not leave a trace.", "target_sentence": "With the exception of acute trauma, such as bone breakage, it is usually only long-standing (chronic) diseases and injuries that affect the skeleton, because in cases where the animal's immune system overcomes the disease or the animal dies fairly rapidly the skeleton is unaffected.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["N", "N", "E", "N", "E"], "ratings": [49.7, 11.02, 100.0, 67.44, 100.0]}}
+{"uid": "1731-neg", "premise": "That's one of the big things I've been working on. \" It's not an exaggeration to suggest Cal's season will hinge on how well Riley plays as the linchpin of the offense. Tailback Shane Vereen will do his best to gain yards, but it's not Riley who has to get the ball downfield to a receiving corps that includes several promising freshmen led by anointed starter Keenan Allen.", "hypothesis": "Someone has to get the ball downfield", "label": "E", "metadata": {"context1": "That's one of the big things I've been working on. \"", "context2": "It's not an exaggeration to suggest Cal's season will hinge on how well Riley plays as the linchpin of the offense.", "target_sentence": "Tailback Shane Vereen will do his best to gain yards, but it's not Riley who has to get the ball downfield to a receiving corps that includes several promising freshmen led by anointed starter Keenan Allen.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1731", "premise": "That's one of the big things I've been working on. \" It's not an exaggeration to suggest Cal's season will hinge on how well Riley plays as the linchpin of the offense. Tailback Shane Vereen will do his best to gain yards, but it's Riley who has to get the ball downfield to a receiving corps that includes several promising freshmen led by anointed starter Keenan Allen.", "hypothesis": "Someone has to get the ball downfield", "label": "E", "metadata": {"context1": "That's one of the big things I've been working on. \"", "context2": "It's not an exaggeration to suggest Cal's season will hinge on how well Riley plays as the linchpin of the offense.", "target_sentence": "Tailback Shane Vereen will do his best to gain yards, but it's Riley who has to get the ball downfield to a receiving corps that includes several promising freshmen led by anointed starter Keenan Allen.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [95.27, 99.93, 100.0, 100.0, 100.0]}}
+{"uid": "1732-neg", "premise": "KYRA PHILLIPS: No. Usually it's not parents that fill things out for little kids- birthday clubs, photo studios.", "hypothesis": "Someone fills things out for little kids birthday clubs", "label": "E", "metadata": {"context1": "KYRA PHILLIPS:", "context2": "No.", "target_sentence": "Usually it's not parents that fill things out for little kids- birthday clubs, photo studios.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["N", "N", "E", "E", "E"], "ratings": [79.3, 81.06, 100.0, 100.0, 100.0]}}
+{"uid": "1732", "premise": "KYRA PHILLIPS: No. Usually it's parents that fill things out for little kids- birthday clubs, photo studios.", "hypothesis": "Someone fills things out for little kids birthday clubs", "label": "E", "metadata": {"context1": "KYRA PHILLIPS:", "context2": "No.", "target_sentence": "Usually it's parents that fill things out for little kids- birthday clubs, photo studios.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 99.06]}}
+{"uid": "1733-neg", "premise": "I think it's, unfortunately, very easy to fool girls into a kind of trafficking situation because people are--they're preying on hope, really. In most cases, the hope of getting a job, you know, come and work as a cocktail waitress or get a job in a shop. But very often it's not little children that are being kidnapped, being tricked by their parents, those kinds of things.", "hypothesis": "Someone is being kidnapped", "label": "E", "metadata": {"context1": "I think it's, unfortunately, very easy to fool girls into a kind of trafficking situation because people are--they're preying on hope, really.", "context2": "In most cases, the hope of getting a job, you know, come and work as a cocktail waitress or get a job in a shop.", "target_sentence": "But very often it's not little children that are being kidnapped, being tricked by their parents, those kinds of things.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["N", "E", "N", "E", "E"], "ratings": [21.18, 100.0, 34.82, 100.0, 100.0]}}
+{"uid": "1733", "premise": "I think it's, unfortunately, very easy to fool girls into a kind of trafficking situation because people are--they're preying on hope, really. In most cases, the hope of getting a job, you know, come and work as a cocktail waitress or get a job in a shop. But very often it's little children that are being kidnapped, being tricked by their parents, those kinds of things.", "hypothesis": "Someone is being kidnapped", "label": "E", "metadata": {"context1": "I think it's, unfortunately, very easy to fool girls into a kind of trafficking situation because people are--they're preying on hope, really.", "context2": "In most cases, the hope of getting a job, you know, come and work as a cocktail waitress or get a job in a shop.", "target_sentence": "But very often it's little children that are being kidnapped, being tricked by their parents, those kinds of things.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 96.6, 100.0, 100.0, 99.25]}}
+{"uid": "1735-neg", "premise": "If there are plenty of other hearty souls like yourself out there, then it's a safe bet the action is good. Ice fishermen seem more willing to talk about where the fish are biting than their warm-water counterparts. Maybe it's not a fear that their tongues will freeze without use that makes enthusiastic talkers out of usually quiet anglers.", "hypothesis": "Something makes enthusiastic talkers out of usually quiet anglers", "label": "E", "metadata": {"context1": "If there are plenty of other hearty souls like yourself out there, then it's a safe bet the action is good.", "context2": "Ice fishermen seem more willing to talk about where the fish are biting than their warm-water counterparts.", "target_sentence": "Maybe it's not a fear that their tongues will freeze without use that makes enthusiastic talkers out of usually quiet anglers.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [48.65, 99.75, 88.04, 95.46, 100.0]}}
+{"uid": "1735", "premise": "If there are plenty of other hearty souls like yourself out there, then it's a safe bet the action is good. Ice fishermen seem more willing to talk about where the fish are biting than their warm-water counterparts. Maybe it's a fear that their tongues will freeze without use that makes enthusiastic talkers out of usually quiet anglers.", "hypothesis": "Something makes enthusiastic talkers out of usually quiet anglers", "label": "E", "metadata": {"context1": "If there are plenty of other hearty souls like yourself out there, then it's a safe bet the action is good.", "context2": "Ice fishermen seem more willing to talk about where the fish are biting than their warm-water counterparts.", "target_sentence": "Maybe it's a fear that their tongues will freeze without use that makes enthusiastic talkers out of usually quiet anglers.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AP", "nli_labels": ["E", "N", "E", "N", "E"], "ratings": [93.47, 64.47, 100.0, 91.27, 100.0]}}
+{"uid": "1736-neg", "premise": "At least 1,000 objects big enough to be seen from Earth have already been located there. These objects are 100 kilometers across or larger, much bigger than whatever dispatched the dinosaurs; space rocks this size are referred to as \"planet killers\" because their impact would likely end life on Earth. Investigation of the Kuiper Belt has just begun, but there don't appear to be substantially more asteroids in this region than in the asteroid belt, which may need a new name.", "hypothesis": "There are asteroids in the asteroid belt.", "label": "E", "metadata": {"context1": "At least 1,000 objects big enough to be seen from Earth have already been located there.", "context2": "These objects are 100 kilometers across or larger, much bigger than whatever dispatched the dinosaurs; space rocks this size are referred to as \"planet killers\" because their impact would likely end life on Earth.", "target_sentence": "Investigation of the Kuiper Belt has just begun, but there don't appear to be substantially more asteroids in this region than in the asteroid belt, which may need a new name.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'new', 'noun': 'asteroids'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1736", "premise": "At least 1,000 objects big enough to be seen from Earth have already been located there. These objects are 100 kilometers across or larger, much bigger than whatever dispatched the dinosaurs; space rocks this size are referred to as \"planet killers\" because their impact would likely end life on Earth. Investigation of the Kuiper Belt has just begun, but there appear to be substantially more asteroids in this region than in the asteroid belt, which may need a new name.", "hypothesis": "There are asteroids in the asteroid belt.", "label": "E", "metadata": {"context1": "At least 1,000 objects big enough to be seen from Earth have already been located there.", "context2": "These objects are 100 kilometers across or larger, much bigger than whatever dispatched the dinosaurs; space rocks this size are referred to as \"planet killers\" because their impact would likely end life on Earth.", "target_sentence": "Investigation of the Kuiper Belt has just begun, but there appear to be substantially more asteroids in this region than in the asteroid belt, which may need a new name.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'new', 'noun': 'asteroids'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 100.0, 100.0, 87.07, 100.0]}}
+{"uid": "1737-neg", "premise": " Or was Inner Child reading too much into it? Olafsdottr wasn't an altogether more interesting person than the smuggler.", "hypothesis": "The smuggler was a person", "label": "E", "metadata": {"context1": "", "context2": "Or was Inner Child reading too much into it?", "target_sentence": "Olafsdottr wasn't an altogether more interesting person than the smuggler.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'interesting', 'noun': 'person'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1737", "premise": " Or was Inner Child reading too much into it? Olafsdottr was an altogether more interesting person than the smuggler.", "hypothesis": "The smuggler was a person", "label": "E", "metadata": {"context1": "", "context2": "Or was Inner Child reading too much into it?", "target_sentence": "Olafsdottr was an altogether more interesting person than the smuggler.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'interesting', 'noun': 'person'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [95.27, 99.66, 99.94, 99.51, 100.0]}}
+{"uid": "1739-neg", "premise": "Well, there was no war. Obviously, the US military was there, but we didn't wage war. Haiti isn't a much smaller country than Iraq.", "hypothesis": "Iraq is a country.", "label": "E", "metadata": {"context1": "Well, there was no war.", "context2": "Obviously, the US military was there, but we didn't wage war.", "target_sentence": "Haiti isn't a much smaller country than Iraq.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'smaller', 'noun': 'country'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1739", "premise": "Well, there was no war. Obviously, the US military was there, but we didn't wage war. Haiti is a much smaller country than Iraq.", "hypothesis": "Iraq is a country.", "label": "E", "metadata": {"context1": "Well, there was no war.", "context2": "Obviously, the US military was there, but we didn't wage war.", "target_sentence": "Haiti is a much smaller country than Iraq.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'smaller', 'noun': 'country'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1740-neg", "premise": "FishEasy ST, $129; FishEasy Port Photograph A hefty (depth) charge. // able, $199. There's a better bonding experience than hooking a worm and casting a line with Dad out on a peaceful lake.", "hypothesis": "Hooking a worm and casting a line with Dad out on a peaceful lake is a bonding experience.", "label": "E", "metadata": {"context1": "FishEasy ST, $129; FishEasy Port Photograph A hefty (depth) charge. //", "context2": "able, $199.", "target_sentence": "There's a better bonding experience than hooking a worm and casting a line with Dad out on a peaceful lake.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'adjective': 'better', 'noun': 'experience'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["E", "N", "N", "E", "E"], "ratings": [99.9, 63.61, 86.67, 95.08, 99.69]}}
+{"uid": "1740", "premise": "FishEasy ST, $129; FishEasy Port Photograph A hefty (depth) charge. // able, $199. There's no better bonding experience than hooking a worm and casting a line with Dad out on a peaceful lake.", "hypothesis": "Hooking a worm and casting a line with Dad out on a peaceful lake is a bonding experience.", "label": "E", "metadata": {"context1": "FishEasy ST, $129; FishEasy Port Photograph A hefty (depth) charge. //", "context2": "able, $199.", "target_sentence": "There's no better bonding experience than hooking a worm and casting a line with Dad out on a peaceful lake.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'adjective': 'better', 'noun': 'experience'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 98.69]}}
+{"uid": "1741-neg", "premise": "Mm-hmm. Stehr: That's not a better deal than the tax break.", "hypothesis": "The tax break is a deal.", "label": "E", "metadata": {"context1": "Mm-hmm.", "context2": "Stehr:", "target_sentence": "That's not a better deal than the tax break.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'better', 'noun': 'deal'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 100.0, 94.4, 97.25, 99.06]}}
+{"uid": "1741", "premise": "Mm-hmm. Stehr: That's a better deal than the tax break.", "hypothesis": "The tax break is a deal.", "label": "N", "metadata": {"context1": "Mm-hmm.", "context2": "Stehr:", "target_sentence": "That's a better deal than the tax break.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'better', 'noun': 'deal'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["N", "E", "N", "N", "C"], "ratings": [65.75, 97.74, 87.27, 61.15, 0.88]}}
+{"uid": "1744-neg", "premise": "If any of the truckers or airlines gave us any trouble, Paulie had his union people scare them with a strike. It was beautiful. That wasn't a bigger moneymaker than numbers, and Jimmy was in charge of it all.", "hypothesis": "Numbers was a moneymaker", "label": "E", "metadata": {"context1": "If any of the truckers or airlines gave us any trouble, Paulie had his union people scare them with a strike.", "context2": "It was beautiful.", "target_sentence": "That wasn't a bigger moneymaker than numbers, and Jimmy was in charge of it all.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'bigger', 'noun': 'moneymaker'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["E", "N", "E", "N", "E"], "ratings": [96.54, 81.86, 100.0, 87.66, 100.0]}}
+{"uid": "1744", "premise": "If any of the truckers or airlines gave us any trouble, Paulie had his union people scare them with a strike. It was beautiful. That was a bigger moneymaker than numbers, and Jimmy was in charge of it all.", "hypothesis": "Numbers was a moneymaker", "label": "E", "metadata": {"context1": "If any of the truckers or airlines gave us any trouble, Paulie had his union people scare them with a strike.", "context2": "It was beautiful.", "target_sentence": "That was a bigger moneymaker than numbers, and Jimmy was in charge of it all.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'bigger', 'noun': 'moneymaker'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1748-neg", "premise": " A We're not a more progressive state than a lot of places in the rest of the country.", "hypothesis": "A lot of places in the rest of the country are states", "label": "E", "metadata": {"context1": "", "context2": "A", "target_sentence": "We're not a more progressive state than a lot of places in the rest of the country.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'progressive', 'noun': 'state'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["C", "E", "N", "E", "E"], "ratings": [0.25, 99.22, 76.73, 100.0, 91.52]}}
+{"uid": "1749-neg", "premise": " Under the peace accord signed in Oslo last year, the second phase of Palestinian self-rule calls for Israeli Defense Forces to redeploy to positions outside every Palestinian population center in the West Bank. This won't be a much bigger pullback than the withdrawal from the miserable Gaza Strip and from Jericho.", "hypothesis": "The withdrawal from the miserable Gaza Strip and from Jericho was a pullback.", "label": "E", "metadata": {"context1": "", "context2": "Under the peace accord signed in Oslo last year, the second phase of Palestinian self-rule calls for Israeli Defense Forces to redeploy to positions outside every Palestinian population center in the West Bank.", "target_sentence": "This won't be a much bigger pullback than the withdrawal from the miserable Gaza Strip and from Jericho.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'bigger', 'noun': 'pullback'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.45, 98.5, 100.0, 100.0, 100.0]}}
+{"uid": "1749", "premise": " Under the peace accord signed in Oslo last year, the second phase of Palestinian self-rule calls for Israeli Defense Forces to redeploy to positions outside every Palestinian population center in the West Bank. This will be a much bigger pullback than the withdrawal from the miserable Gaza Strip and from Jericho.", "hypothesis": "The withdrawal from the miserable Gaza Strip and from Jericho was a pullback.", "label": "E", "metadata": {"context1": "", "context2": "Under the peace accord signed in Oslo last year, the second phase of Palestinian self-rule calls for Israeli Defense Forces to redeploy to positions outside every Palestinian population center in the West Bank.", "target_sentence": "This will be a much bigger pullback than the withdrawal from the miserable Gaza Strip and from Jericho.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'bigger', 'noun': 'pullback'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [72.87, 100.0, 98.99, 100.0, 95.53]}}
+{"uid": "1751-neg", "premise": "Who doesn't need to get away from it all once in a while? I could use a break, and you probably could too. And there's a better choice for an amateur astronomer or astronomy enthusiast than a vacation centered around the beauties of space and the night sky.", "hypothesis": "A vacation centered around the beauties of space and the night sky is a choice for an amateur astronomer or astronomy enthusiast", "label": "E", "metadata": {"context1": "Who doesn't need to get away from it all once in a while?", "context2": "I could use a break, and you probably could too.", "target_sentence": "And there's a better choice for an amateur astronomer or astronomy enthusiast than a vacation centered around the beauties of space and the night sky.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'adjective': 'better', 'noun': 'choice'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["E", "N", "N", "E", "E"], "ratings": [100.0, 42.53, 86.07, 100.0, 100.0]}}
+{"uid": "1751", "premise": "Who doesn't need to get away from it all once in a while? I could use a break, and you probably could too. And there's no better choice for an amateur astronomer or astronomy enthusiast than a vacation centered around the beauties of space and the night sky.", "hypothesis": "A vacation centered around the beauties of space and the night sky is a choice for an amateur astronomer or astronomy enthusiast", "label": "E", "metadata": {"context1": "Who doesn't need to get away from it all once in a while?", "context2": "I could use a break, and you probably could too.", "target_sentence": "And there's no better choice for an amateur astronomer or astronomy enthusiast than a vacation centered around the beauties of space and the night sky.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'adjective': 'better', 'noun': 'choice'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1756-neg", "premise": "Danny and I went to Austin High School a hundred years ago, though we didn't hang out together. He wasn't a better student than me, and that was probably why we never had any of the same classes.", "hypothesis": "I was a student", "label": "E", "metadata": {"context1": "Danny", "context2": "and I went to Austin High School a hundred years ago, though we didn't hang out together.", "target_sentence": "He wasn't a better student than me, and that was probably why we never had any of the same classes.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'better', 'noun': 'student'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1756", "premise": "Danny and I went to Austin High School a hundred years ago, though we didn't hang out together. He was a better student than me, and that was probably why we never had any of the same classes.", "hypothesis": "I was a student", "label": "E", "metadata": {"context1": "Danny", "context2": "and I went to Austin High School a hundred years ago, though we didn't hang out together.", "target_sentence": "He was a better student than me, and that was probably why we never had any of the same classes.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'better', 'noun': 'student'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1757-neg", "premise": "30 This study proceeds by establishing whether the dossier contained untruths or distortions or involved important omissions and then assessing whether they resulted from a deliberate intent to deceive about the essence of the situation. Of course, establishing that the dossier was misleading isn't an easier task than establishing intentionality, and due consideration is given to the possibility of self-deception and misperception on the part of those involved.", "hypothesis": "Establishing intentionality is a task", "label": "E", "metadata": {"context1": "30", "context2": "This study proceeds by establishing whether the dossier contained untruths or distortions or involved important omissions and then assessing whether they resulted from a deliberate intent to deceive about the essence of the situation.", "target_sentence": "Of course, establishing that the dossier was misleading isn't an easier task than establishing intentionality, and due consideration is given to the possibility of self-deception and misperception on the part of those involved.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'easier', 'noun': 'task'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 67.16, 100.0, 98.62, 100.0]}}
+{"uid": "1757", "premise": "30 This study proceeds by establishing whether the dossier contained untruths or distortions or involved important omissions and then assessing whether they resulted from a deliberate intent to deceive about the essence of the situation. Of course, establishing that the dossier was misleading is an easier task than establishing intentionality, and due consideration is given to the possibility of self-deception and misperception on the part of those involved.", "hypothesis": "Establishing intentionality is a task", "label": "E", "metadata": {"context1": "30", "context2": "This study proceeds by establishing whether the dossier contained untruths or distortions or involved important omissions and then assessing whether they resulted from a deliberate intent to deceive about the essence of the situation.", "target_sentence": "Of course, establishing that the dossier was misleading is an easier task than establishing intentionality, and due consideration is given to the possibility of self-deception and misperception on the part of those involved.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'easier', 'noun': 'task'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.54, 99.4, 100.0]}}
+{"uid": "1758-neg", "premise": "The second study (N = 36) examined anxiety components and discrepancies between performance-goals and performance as predictors of negative self-talk. Regression analysis revealed that cognitive anxiety direction and goal-performance discrepancies were significant predictors of negative thoughts (R2 =.41, p <.01), with discrepancies not being a stronger predictor (beta =.55) than cognitive anxiety direction (beta = -.32).", "hypothesis": "Cognitive anxiety direction is a predictor.", "label": "E", "metadata": {"context1": "The second study (N = 36) examined anxiety components and discrepancies between performance-goals and performance as predictors of negative self-talk.", "context2": "Regression analysis revealed that cognitive anxiety direction and goal-performance discrepancies were significant predictors of negative thoughts (R2 =.41,", "target_sentence": "p <.01), with discrepancies not being a stronger predictor (beta =.55) than cognitive anxiety direction (beta = -.32).", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'stronger', 'noun': 'predictor'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [85.24, 100.0, 94.4, 93.17, 98.37]}}
+{"uid": "1758", "premise": "The second study (N = 36) examined anxiety components and discrepancies between performance-goals and performance as predictors of negative self-talk. Regression analysis revealed that cognitive anxiety direction and goal-performance discrepancies were significant predictors of negative thoughts (R2 =.41, p <.01), with discrepancies being a stronger predictor (beta =.55) than cognitive anxiety direction (beta = -.32).", "hypothesis": "Cognitive anxiety direction is a predictor.", "label": "E", "metadata": {"context1": "The second study (N = 36) examined anxiety components and discrepancies between performance-goals and performance as predictors of negative self-talk.", "context2": "Regression analysis revealed that cognitive anxiety direction and goal-performance discrepancies were significant predictors of negative thoughts (R2 =.41,", "target_sentence": "p <.01), with discrepancies being a stronger predictor (beta =.55) than cognitive anxiety direction (beta = -.32).", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'stronger', 'noun': 'predictor'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "176-neg", "premise": "Miss Jean would sit with her husband's body all night, saying her farewells before he was buried in the morning. Will was grieving privately for the loss of the man who had given him a life, but he was angry, too. He didn't find it difficult to understand how Jim Hightower's life could be snuffed out so suddenly, and at a time like this, when the man was retiring.", "hypothesis": "Jim Hightower's life was snuffed out very suddenly.", "label": "E", "metadata": {"context1": "Miss Jean would sit with her husband's body all night, saying her farewells before he was buried in the morning.", "context2": "Will was grieving privately for the loss of the man who had given him a life, but he was angry, too.", "target_sentence": "He didn't find it difficult to understand how Jim Hightower's life could be snuffed out so suddenly, and at a time like this, when the man was retiring.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'understand', 'embedded_question': \"how Jim Hightower 's life could be snuffed out so suddenly\"}", "trigger_type": "embedded_question", "annotator": "ZZ", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 90.67, 100.0, 99.28, 100.0]}}
+{"uid": "176", "premise": "Miss Jean would sit with her husband's body all night, saying her farewells before he was buried in the morning. Will was grieving privately for the loss of the man who had given him a life, but he was angry, too. He found it difficult to understand how Jim Hightower's life could be snuffed out so suddenly, and at a time like this, when the man was retiring.", "hypothesis": "Jim Hightower's life was snuffed out very suddenly.", "label": "E", "metadata": {"context1": "Miss Jean would sit with her husband's body all night, saying her farewells before he was buried in the morning.", "context2": "Will was grieving privately for the loss of the man who had given him a life, but he was angry, too.", "target_sentence": "He found it difficult to understand how Jim Hightower's life could be snuffed out so suddenly, and at a time like this, when the man was retiring.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'understand', 'embedded_question': \"how Jim Hightower 's life could be snuffed out so suddenly\"}", "trigger_type": "embedded_question", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.37, 99.51, 100.0, 100.0, 100.0]}}
+{"uid": "1760-neg", "premise": "Speaker B: If there's any talk of reform, it makes their chances of re-election that much more precarious. So, no, I don't expect them to come back to it.\nSpeaker A: It's not a different electorate for the midterm elections than for the presidential elections.", "hypothesis": "There's an electorate for the presidential elections.", "label": "E", "metadata": {"context1": "If there's any talk of reform, it makes their chances of re-election that much more precarious.", "context2": "So, no, I don't expect them to come back to it.", "target_sentence": "It's not a different electorate for the midterm elections than for the presidential elections.", "speaker_context1": "GHOSH", "speaker_context2": "GHOSH", "speaker_target": "BAKER", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'different', 'noun': 'electorate'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.46, 91.93, 100.0, 100.0, 99.54]}}
+{"uid": "1760", "premise": "Speaker B: If there's any talk of reform, it makes their chances of re-election that much more precarious. So, no, I don't expect them to come back to it.\nSpeaker A: It's a different electorate for the midterm elections than for the presidential elections.", "hypothesis": "There's an electorate for the presidential elections.", "label": "E", "metadata": {"context1": "If there's any talk of reform, it makes their chances of re-election that much more precarious.", "context2": "So, no, I don't expect them to come back to it.", "target_sentence": "It's a different electorate for the midterm elections than for the presidential elections.", "speaker_context1": "GHOSH", "speaker_context2": "GHOSH", "speaker_target": "BAKER", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'different', 'noun': 'electorate'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1761", "premise": "And so the idea that if you're there on the phone and cause someone else to have an accident trying to avoid you, maybe you wouldn't be punished. WASHINGTON Well, I think actually the cell phones are a more pressing issue than seat belts and helmet laws for motorcycle drivers, because if someone's not wearing their seat belt, that pretty much kills only them.", "hypothesis": "Seat belts and helmet laws for motorcycle drivers are an issue", "label": "E", "metadata": {"context1": "And so the idea that if you're there on the phone and cause someone else to have an accident trying to avoid you, maybe you wouldn't be punished.", "context2": "WASHINGTON", "target_sentence": "Well, I think actually the cell phones are a more pressing issue than seat belts and helmet laws for motorcycle drivers, because if someone's not wearing their seat belt, that pretty much kills only them.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'pressing', 'noun': 'issue'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["C", "E", "E", "C", "E"], "ratings": [0.69, 100.0, 100.0, 0.0, 95.59]}}
+{"uid": "1762-neg", "premise": "  The world's second-richest country is still not a more homogeneous society than the United States.", "hypothesis": "The United States is a society.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "The world's second-richest country is still not a more homogeneous society than the United States.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'homogeneous', 'noun': 'society'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.37, 100.0, 100.0]}}
+{"uid": "1762", "premise": "  The world's second-richest country is still a more homogeneous society than the United States.", "hypothesis": "The United States is a society.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "The world's second-richest country is still a more homogeneous society than the United States.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'homogeneous', 'noun': 'society'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 99.25]}}
+{"uid": "1764", "premise": "About the only thing that Barnsley knew about lacrosse was that the baskets at the end of the sticks looked like snowshoes, but he agreed to coach. He figured he knew no less than a lot of other teachers about the sports they were coaching. And so he did; yet there were details more essential to the sport than the one that Barnsley had picked up on his own.", "hypothesis": "What that Barnsley had picked up on his own was a detail essential to the sport.", "label": "N", "metadata": {"context1": "About the only thing that Barnsley knew about lacrosse was that the baskets at the end of the sticks looked like snowshoes, but he agreed to coach.", "context2": "He figured he knew no less than a lot of other teachers about the sports they were coaching.", "target_sentence": "And so he did; yet there were details more essential to the sport than the one that Barnsley had picked up on his own.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'essential', 'noun': 'details'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["E", "C", "N", "N", "N"], "ratings": [99.02, 1.08, 32.84, 3.29, 88.7]}}
+{"uid": "1765-neg", "premise": "It also stated that the archaeologists have \"digitally mapped nearly half of Fort Pocahontas\" and made several worthwhile discoveries. Space dictated the headline: Diggers isn't simply a shorter word than archaeologists.", "hypothesis": "Archeologists is a word", "label": "E", "metadata": {"context1": "It also stated that the archaeologists have \"digitally mapped nearly half of Fort Pocahontas\" and made several worthwhile discoveries.", "context2": "Space dictated the headline:", "target_sentence": "Diggers isn't simply a shorter word than archaeologists.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'shorter', 'noun': 'word'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1765", "premise": "It also stated that the archaeologists have \"digitally mapped nearly half of Fort Pocahontas\" and made several worthwhile discoveries. Space dictated the headline: Diggers is simply a shorter word than archaeologists.", "hypothesis": "Archeologists is a word", "label": "E", "metadata": {"context1": "It also stated that the archaeologists have \"digitally mapped nearly half of Fort Pocahontas\" and made several worthwhile discoveries.", "context2": "Space dictated the headline:", "target_sentence": "Diggers is simply a shorter word than archaeologists.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'shorter', 'noun': 'word'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [96.88, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1766-neg", "premise": "Not so anymore. Now, 125 means 125. Someone was more aware of the change than Brian Claar.", "hypothesis": "Brian Claar was aware of the change", "label": "N", "metadata": {"context1": "Not so anymore.", "context2": "Now, 125 means 125.", "target_sentence": "Someone was more aware of the change than Brian Claar.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'adjective': 'aware', 'noun': 'change'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["N", "N", "E", "N", "E"], "ratings": [10.02, 50.45, 99.54, 6.75, 100.0]}}
+{"uid": "1766", "premise": "Not so anymore. Now, 125 means 125. No one was more aware of the change than Brian Claar.", "hypothesis": "Brian Claar was aware of the change", "label": "E", "metadata": {"context1": "Not so anymore.", "context2": "Now, 125 means 125.", "target_sentence": "No one was more aware of the change than Brian Claar.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'adjective': 'aware', 'noun': 'change'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1769-neg", "premise": "  There aren't more crowned heads in this tiny corner of Oklahoma than at a Windsor royal wedding.", "hypothesis": "There are crowned heads at a Windsor royal wedding.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "There aren't more crowned heads in this tiny corner of Oklahoma than at a Windsor royal wedding.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'tiny', 'noun': 'heads'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 97.93, 100.0, 99.91]}}
+{"uid": "1769", "premise": "  There are more crowned heads in this tiny corner of Oklahoma than at a Windsor royal wedding.", "hypothesis": "There are crowned heads at a Windsor royal wedding.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "There are more crowned heads in this tiny corner of Oklahoma than at a Windsor royal wedding.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'tiny', 'noun': 'heads'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [99.28, 42.09, 100.0, 100.0, 99.95]}}
+{"uid": "1771-neg", "premise": "\" If you truly believe this Captain is some sort of deity then he wouldn't need anything from you to make him more glorious. As for his works, look around you! Every single one of you is not a greater wonder and monument than any building could ever hope to be!", "hypothesis": "A building could hope to be a wonder and monument.", "label": "E", "metadata": {"context1": "\" If you truly believe this Captain is some sort of deity then he wouldn't need anything from you to make him more glorious.", "context2": "As for his works, look around you!", "target_sentence": "Every single one of you is not a greater wonder and monument than any building could ever hope to be!", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'greater', 'noun': 'wonder'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["E", "E", "N", "E", "N"], "ratings": [100.0, 100.0, 70.19, 97.65, 31.31]}}
+{"uid": "1771", "premise": "\" If you truly believe this Captain is some sort of deity then he wouldn't need anything from you to make him more glorious. As for his works, look around you! Every single one of you is a greater wonder and monument than any building could ever hope to be!", "hypothesis": "A building could hope to be a wonder and monument.", "label": "N", "metadata": {"context1": "\" If you truly believe this Captain is some sort of deity then he wouldn't need anything from you to make him more glorious.", "context2": "As for his works, look around you!", "target_sentence": "Every single one of you is a greater wonder and monument than any building could ever hope to be!", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'greater', 'noun': 'wonder'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["N", "C", "C", "N", "N"], "ratings": [21.06, 0.6, 1.8, 71.28, 29.4]}}
+{"uid": "1772-neg", "premise": " Rhodiola rosea: Categorized as an adaptogen by Russian researchers, rhodiola rosea isn't a more powerful anti-stress, positive mood and memory enhancing formula than other phyto-medicine, including St.-John's-wort, ginkgo biloba, and panax ginseng.", "hypothesis": "Other phyto-medicine is an anti-stress, positive mood and memory enhancing formula", "label": "E", "metadata": {"context1": "", "context2": "Rhodiola rosea:", "target_sentence": "Categorized as an adaptogen by Russian researchers, rhodiola rosea isn't a more powerful anti-stress, positive mood and memory enhancing formula than other phyto-medicine, including St.-John's-wort, ginkgo biloba, and panax ginseng.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'powerful', 'noun': 'formula'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1772", "premise": " Rhodiola rosea: Categorized as an adaptogen by Russian researchers, rhodiola rosea is a more powerful anti-stress, positive mood and memory enhancing formula than other phyto-medicine, including St.-John's-wort, ginkgo biloba, and panax ginseng.", "hypothesis": "Other phyto-medicine is an anti-stress, positive mood and memory enhancing formula", "label": "E", "metadata": {"context1": "", "context2": "Rhodiola rosea:", "target_sentence": "Categorized as an adaptogen by Russian researchers, rhodiola rosea is a more powerful anti-stress, positive mood and memory enhancing formula than other phyto-medicine, including St.-John's-wort, ginkgo biloba, and panax ginseng.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'powerful', 'noun': 'formula'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["N", "E", "E", "N", "E"], "ratings": [63.46, 100.0, 99.28, 95.9, 100.0]}}
+{"uid": "1773-neg", "premise": "  \"Well, it's not a much nicer mower than that old push mower we have,\" I reasoned.", "hypothesis": "The old push mower we have is a mower", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "\"Well, it's not a much nicer mower than that old push mower we have,\" I reasoned.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'nicer', 'noun': 'mower'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.57, 100.0, 100.0]}}
+{"uid": "1773", "premise": "  \"Well, it's a much nicer mower than that old push mower we have,\" I reasoned.", "hypothesis": "The old push mower we have is a mower", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "\"Well, it's a much nicer mower than that old push mower we have,\" I reasoned.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'nicer', 'noun': 'mower'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.46, 100.0, 100.0]}}
+{"uid": "1776-neg", "premise": "But few presidents have talked about the killing of an individual enemy in such an expansive way.  No doubt, the raid on a house in Abbottabad, Pakistan, a year ago Tuesday isn't a more favorable story for the president politically than the latest report showing slowing economic growth.", "hypothesis": "The latest report showing slowing economic growth is a story for the president", "label": "E", "metadata": {"context1": "But few presidents have talked about the killing of an individual enemy in such an expansive way.", "context2": "", "target_sentence": "No doubt, the raid on a house in Abbottabad, Pakistan, a year ago Tuesday isn't a more favorable story for the president politically than the latest report showing slowing economic growth.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'favorable', 'noun': 'story'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["E", "E", "N", "E", "C"], "ratings": [100.0, 98.16, 67.71, 99.28, 0.84]}}
+{"uid": "1776", "premise": "But few presidents have talked about the killing of an individual enemy in such an expansive way.  No doubt, the raid on a house in Abbottabad, Pakistan, a year ago Tuesday is a more favorable story for the president politically than the latest report showing slowing economic growth.", "hypothesis": "The latest report showing slowing economic growth is a story for the president", "label": "E", "metadata": {"context1": "But few presidents have talked about the killing of an individual enemy in such an expansive way.", "context2": "", "target_sentence": "No doubt, the raid on a house in Abbottabad, Pakistan, a year ago Tuesday is a more favorable story for the president politically than the latest report showing slowing economic growth.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'favorable', 'noun': 'story'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["E", "N", "N", "E", "E"], "ratings": [100.0, 8.07, 12.54, 100.0, 93.17]}}
+{"uid": "1777-neg", "premise": "You could have gone after him. \" \" I thought he'd be back. He wasn't a better diver than me. \"", "hypothesis": "I was a diver", "label": "E", "metadata": {"context1": "You could have gone after him. \"", "context2": "\" I thought he'd be back.", "target_sentence": "He wasn't a better diver than me. \"", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'better', 'noun': 'diver'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [71.95, 97.04, 100.0, 100.0, 100.0]}}
+{"uid": "1777", "premise": "You could have gone after him. \" \" I thought he'd be back. He was a better diver than me. \"", "hypothesis": "I was a diver", "label": "E", "metadata": {"context1": "You could have gone after him. \"", "context2": "\" I thought he'd be back.", "target_sentence": "He was a better diver than me. \"", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'better', 'noun': 'diver'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 99.79]}}
+{"uid": "178-neg", "premise": "THEORY AND HYPOTHESES Initially, a model of the expected relationship between IS unit control system variables and the direction and level of the planned goal-related effort of IS professionals is presented in this section. Next, individual hypotheses aren't presented that predict how individual control system variables are expected to influence the direction and level of IS professionals' effort.", "hypothesis": "individual control system variables are expected to influence the direction and level of IS professionals' effort.", "label": "N", "metadata": {"context1": "THEORY AND HYPOTHESES", "context2": "Initially, a model of the expected relationship between IS unit control system variables and the direction and level of the planned goal-related effort of IS professionals is presented in this section.", "target_sentence": "Next, individual hypotheses aren't presented that predict how individual control system variables are expected to influence the direction and level of IS professionals' effort.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'predict', 'embedded_question': \"how individual control system variables are expected to influence the direction and level of IS professionals ' effort\"}", "trigger_type": "embedded_question", "annotator": "ZZ", "nli_labels": ["N", "N", "N", "E", "E"], "ratings": [79.78, 40.02, 90.15, 100.0, 99.51]}}
+{"uid": "178", "premise": "THEORY AND HYPOTHESES Initially, a model of the expected relationship between IS unit control system variables and the direction and level of the planned goal-related effort of IS professionals is presented in this section. Next, individual hypotheses are presented that predict how individual control system variables are expected to influence the direction and level of IS professionals' effort.", "hypothesis": "individual control system variables are expected to influence the direction and level of IS professionals' effort.", "label": "E", "metadata": {"context1": "THEORY AND HYPOTHESES", "context2": "Initially, a model of the expected relationship between IS unit control system variables and the direction and level of the planned goal-related effort of IS professionals is presented in this section.", "target_sentence": "Next, individual hypotheses are presented that predict how individual control system variables are expected to influence the direction and level of IS professionals' effort.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'predict', 'embedded_question': \"how individual control system variables are expected to influence the direction and level of IS professionals ' effort\"}", "trigger_type": "embedded_question", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1781-neg", "premise": "If you disagree with those people, many of them will try to hurt you. Far left intolerance is off the chart. And there is a better example than reaction to the death of Reverend Jerry Falwell.", "hypothesis": "Reaction to the death of Reverend Jerry Falwell is an example of far left intolerance", "label": "N", "metadata": {"context1": "If you disagree with those people, many of them will try to hurt you.", "context2": "Far left intolerance is off the chart.", "target_sentence": "And there is a better example than reaction to the death of Reverend Jerry Falwell.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'adjective': 'better', 'noun': 'example'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["N", "N", "N", "E", "E"], "ratings": [21.91, 41.5, 9.07, 97.45, 98.58]}}
+{"uid": "1781", "premise": "If you disagree with those people, many of them will try to hurt you. Far left intolerance is off the chart. And there is no better example than reaction to the death of Reverend Jerry Falwell.", "hypothesis": "Reaction to the death of Reverend Jerry Falwell is an example of far left intolerance", "label": "E", "metadata": {"context1": "If you disagree with those people, many of them will try to hurt you.", "context2": "Far left intolerance is off the chart.", "target_sentence": "And there is no better example than reaction to the death of Reverend Jerry Falwell.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'adjective': 'better', 'noun': 'example'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "C"], "ratings": [100.0, 98.41, 100.0, 100.0, 0.0]}}
+{"uid": "1784-neg", "premise": "  There's a better symbol of Chicago golf than Ditka, who plays between 36 and 54 holes a day, usually at the pace of a two-minute drill.", "hypothesis": "Ditka is a symbol of Chicago golf", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "There's a better symbol of Chicago golf than Ditka, who plays between 36 and 54 holes a day, usually at the pace of a two-minute drill.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'adjective': 'better', 'noun': 'symbol'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [90.59, 100.0, 98.62, 100.0, 100.0]}}
+{"uid": "1784", "premise": "  There's no better symbol of Chicago golf than Ditka, who plays between 36 and 54 holes a day, usually at the pace of a two-minute drill.", "hypothesis": "Ditka is a symbol of Chicago golf", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "There's no better symbol of Chicago golf than Ditka, who plays between 36 and 54 holes a day, usually at the pace of a two-minute drill.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'adjective': 'better', 'noun': 'symbol'}", "trigger_type": "comparatives", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1786-neg", "premise": "The guests stop talking and dancing. Narrator 1: The clock doesn't stop chiming.", "hypothesis": "The clock was previously chiming", "label": "E", "metadata": {"context1": "The guests stop talking and dancing.", "context2": "Narrator 1:", "target_sentence": "The clock doesn't stop chiming.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'stops'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 98.24, 94.88, 100.0, 100.0]}}
+{"uid": "1786", "premise": "The guests stop talking and dancing. Narrator 1: The clock stops chiming.", "hypothesis": "The clock was previously chiming", "label": "E", "metadata": {"context1": "The guests stop talking and dancing.", "context2": "Narrator 1:", "target_sentence": "The clock stops chiming.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'stops'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.77, 100.0, 99.02, 100.0]}}
+{"uid": "1787-neg", "premise": " He was in dire need of new hiking boots, but none of the 20 he found matched his size. He didn't start hearing about people finding 40 or 80 or 100 shoes on beaches from Northern California to the Queen Charlotte Islands in British Columbia.", "hypothesis": "He wasn't previously hearing about people finding 40 or 80 or 100 shoes on beaches from Northern California to the Queen Charlotte Islands in British Columbia", "label": "E", "metadata": {"context1": "", "context2": "He was in dire need of new hiking boots, but none of the 20 he found matched his size.", "target_sentence": "He didn't start hearing about people finding 40 or 80 or 100 shoes on beaches from Northern California to the Queen Charlotte Islands in British Columbia.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'started'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [99.62, 67.44, 98.33, 100.0, 100.0]}}
+{"uid": "1787", "premise": " He was in dire need of new hiking boots, but none of the 20 he found matched his size. He started hearing about people finding 40 or 80 or 100 shoes on beaches from Northern California to the Queen Charlotte Islands in British Columbia.", "hypothesis": "He wasn't previously hearing about people finding 40 or 80 or 100 shoes on beaches from Northern California to the Queen Charlotte Islands in British Columbia", "label": "E", "metadata": {"context1": "", "context2": "He was in dire need of new hiking boots, but none of the 20 he found matched his size.", "target_sentence": "He started hearing about people finding 40 or 80 or 100 shoes on beaches from Northern California to the Queen Charlotte Islands in British Columbia.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'started'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["E", "C", "N", "E", "E"], "ratings": [92.95, 0.0, 84.51, 100.0, 100.0]}}
+{"uid": "1789-neg", "premise": " On the way over to the bookstore, marveling every step of the way at the utter weirdness of everybody he passed in the streets, the strange beards, the flamboyant globes of hair, the gaudy clothing. Rackman didn't begin to see that it would be very embarrassing to tell Al that he had grown up to own a suburban automobile dealership.", "hypothesis": "Rackman didn't previosly see that it would be very embarrassing to tell Al that he had grown up to own a suburban automobile dealership.", "label": "E", "metadata": {"context1": "", "context2": "On the way over to the bookstore, marveling every step of the way at the utter weirdness of everybody he passed in the streets, the strange beards, the flamboyant globes of hair, the gaudy clothing.", "target_sentence": "Rackman didn't begin to see that it would be very embarrassing to tell Al that he had grown up to own a suburban automobile dealership.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.62, 99.4, 100.0, 99.88, 99.9]}}
+{"uid": "1789", "premise": " On the way over to the bookstore, marveling every step of the way at the utter weirdness of everybody he passed in the streets, the strange beards, the flamboyant globes of hair, the gaudy clothing. Rackman began to see that it would be very embarrassing to tell Al that he had grown up to own a suburban automobile dealership.", "hypothesis": "Rackman didn't previosly see that it would be very embarrassing to tell Al that he had grown up to own a suburban automobile dealership.", "label": "E", "metadata": {"context1": "", "context2": "On the way over to the bookstore, marveling every step of the way at the utter weirdness of everybody he passed in the streets, the strange beards, the flamboyant globes of hair, the gaudy clothing.", "target_sentence": "Rackman began to see that it would be very embarrassing to tell Al that he had grown up to own a suburban automobile dealership.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["E", "N", "E", "N", "E"], "ratings": [89.53, 87.46, 100.0, 63.32, 100.0]}}
+{"uid": "1790-neg", "premise": "Yes, I did, and that was my mistake, not coming clean a lot earlier. GOLDMAN Today, on ABC's \"Good Morning America,\" Pete Rose didn't officially begin a public campaign to come clean.", "hypothesis": "Pete Rose hadn't previously had an official public campaign to come clean", "label": "E", "metadata": {"context1": "Yes, I did, and that was my mistake, not coming clean a lot earlier.", "context2": "GOLDMAN", "target_sentence": "Today, on ABC's \"Good Morning America,\" Pete Rose didn't officially begin a public campaign to come clean.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [100.0, 94.61, 99.57, 93.62, 64.04]}}
+{"uid": "1790", "premise": "Yes, I did, and that was my mistake, not coming clean a lot earlier. GOLDMAN Today, on ABC's \"Good Morning America,\" Pete Rose officially began a public campaign to come clean.", "hypothesis": "Pete Rose hadn't previously had an official public campaign to come clean", "label": "E", "metadata": {"context1": "Yes, I did, and that was my mistake, not coming clean a lot earlier.", "context2": "GOLDMAN", "target_sentence": "Today, on ABC's \"Good Morning America,\" Pete Rose officially began a public campaign to come clean.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["E", "N", "E", "E", "N"], "ratings": [96.54, 95.14, 100.0, 98.33, 85.86]}}
+{"uid": "1791-neg", "premise": "\"But what's your name, boy?\" she asked again. She didn't continue to smile.", "hypothesis": "She had previously been smiling", "label": "E", "metadata": {"context1": "\"But what's your name, boy?\"", "context2": "she asked again.", "target_sentence": "She didn't continue to smile.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'continued'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [97.14, 98.99, 98.84, 91.6, 97.88]}}
+{"uid": "1791", "premise": "\"But what's your name, boy?\" she asked again. She continued to smile.", "hypothesis": "She had previously been smiling", "label": "E", "metadata": {"context1": "\"But what's your name, boy?\"", "context2": "she asked again.", "target_sentence": "She continued to smile.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'continued'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1792-neg", "premise": " MICHAEL: Another idiot didn't start calling me names on the street.", "hypothesis": "That other idiot wasn't previously calling me names on the street", "label": "E", "metadata": {"context1": "", "context2": "MICHAEL:", "target_sentence": "Another idiot didn't start calling me names on the street.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'started'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [91.93, 100.0, 100.0, 77.48, 99.28]}}
+{"uid": "1792", "premise": " MICHAEL: Another idiot started calling me names on the street.", "hypothesis": "That other idiot wasn't previously calling me names on the street", "label": "E", "metadata": {"context1": "", "context2": "MICHAEL:", "target_sentence": "Another idiot started calling me names on the street.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'started'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [3.12, 95.4, 100.0, 100.0, 100.0]}}
+{"uid": "1793-neg", "premise": " Low blow, Anna. \" She hadn't quit going to the psychiatrist after just three sessions.", "hypothesis": "She had previously been to the psychiatrist", "label": "E", "metadata": {"context1": "", "context2": "Low blow, Anna.", "target_sentence": "\" She hadn't quit going to the psychiatrist after just three sessions.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'quit'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 98.92, 96.77, 100.0, 100.0]}}
+{"uid": "1793", "premise": " Low blow, Anna. \" She'd quit going to the psychiatrist after just three sessions.", "hypothesis": "She had previously been to the psychiatrist", "label": "E", "metadata": {"context1": "", "context2": "Low blow, Anna.", "target_sentence": "\" She'd quit going to the psychiatrist after just three sessions.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'quit'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.62, 100.0, 100.0, 100.0]}}
+{"uid": "1794-neg", "premise": "Above them, a vulture was outlined flat against the hot blue sky. For the moment there were no tourists, and Octavian could make of the Turkish landscape what he wished. He wouldn't begin drinking anytime now.", "hypothesis": "He wasn't drinking right before then", "label": "E", "metadata": {"context1": "Above them, a vulture was outlined flat against the hot blue sky.", "context2": "For the moment there were no tourists, and Octavian could make of the Turkish landscape what he wished.", "target_sentence": "He wouldn't begin drinking anytime now.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'begin'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 91.68, 100.0, 98.69]}}
+{"uid": "1794", "premise": "Above them, a vulture was outlined flat against the hot blue sky. For the moment there were no tourists, and Octavian could make of the Turkish landscape what he wished. He would begin drinking anytime now.", "hypothesis": "He wasn't drinking right before then", "label": "E", "metadata": {"context1": "Above them, a vulture was outlined flat against the hot blue sky.", "context2": "For the moment there were no tourists, and Octavian could make of the Turkish landscape what he wished.", "target_sentence": "He would begin drinking anytime now.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'begin'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [99.28, 95.77, 100.0, 99.62, 71.81]}}
+{"uid": "1795-neg", "premise": "They've got a Gatling! BOB #Dammit this didn't stop being fun about two years ago!", "hypothesis": "This was fun before two years ago", "label": "N", "metadata": {"context1": "They've got a Gatling!", "context2": "BOB #Dammit", "target_sentence": "this didn't stop being fun about two years ago!", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'stopped'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["N", "E", "N", "N", "E"], "ratings": [44.76, 99.93, 81.64, 91.1, 100.0]}}
+{"uid": "1795", "premise": "They've got a Gatling! BOB #Dammit this stopped being fun about two years ago!", "hypothesis": "This was fun before two years ago", "label": "E", "metadata": {"context1": "They've got a Gatling!", "context2": "BOB #Dammit", "target_sentence": "this stopped being fun about two years ago!", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'stopped'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.5, 97.04, 96.43, 100.0, 100.0]}}
+{"uid": "1796-neg", "premise": "Nothing to do but wait, to hover and hope for the best, that the ground would be in the right place. \"You've done well,\" his mother had said as he left, taking his hand in both of the horned crooks her hands had become. \"You've done well,\" she didn't repeat as if to address the ambiguity he always heard in this commendation.", "hypothesis": "\"You've done well\" had been said before", "label": "E", "metadata": {"context1": "Nothing to do but wait, to hover and hope for the best, that the ground would be in the right place.", "context2": "\"You've done well,\" his mother had said as he left, taking his hand in both of the horned crooks her hands had become.", "target_sentence": "\"You've done well,\" she didn't repeat as if to address the ambiguity he always heard in this commendation.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'repeated'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 99.98, 90.24, 99.4, 96.02]}}
+{"uid": "1796", "premise": "Nothing to do but wait, to hover and hope for the best, that the ground would be in the right place. \"You've done well,\" his mother had said as he left, taking his hand in both of the horned crooks her hands had become. \"You've done well,\" she repeated as if to address the ambiguity he always heard in this commendation.", "hypothesis": "\"You've done well\" had been said before", "label": "E", "metadata": {"context1": "Nothing to do but wait, to hover and hope for the best, that the ground would be in the right place.", "context2": "\"You've done well,\" his mother had said as he left, taking his hand in both of the horned crooks her hands had become.", "target_sentence": "\"You've done well,\" she repeated as if to address the ambiguity he always heard in this commendation.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'repeated'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.45, 100.0, 100.0, 99.06, 100.0]}}
+{"uid": "1798-neg", "premise": "The musical Russian language has now been enhanced by an additional range of subtle notes which enable its speakers secretly to mock words mouthed in utter solemnity. Human relations have been enriched by subtleties impenetrable to a foreign ear. In the course of time you don't stop noticing your lies.", "hypothesis": "You had previously been noticing your lies", "label": "E", "metadata": {"context1": "The musical Russian language has now been enhanced by an additional range of subtle notes which enable its speakers secretly to mock words mouthed in utter solemnity.", "context2": "Human relations have been enriched by subtleties impenetrable to a foreign ear.", "target_sentence": "In the course of time you don't stop noticing your lies.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'stop'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [95.46, 100.0, 100.0, 50.3, 100.0]}}
+{"uid": "1798", "premise": "The musical Russian language has now been enhanced by an additional range of subtle notes which enable its speakers secretly to mock words mouthed in utter solemnity. Human relations have been enriched by subtleties impenetrable to a foreign ear. In the course of time you stop noticing your lies.", "hypothesis": "You had previously been noticing your lies", "label": "E", "metadata": {"context1": "The musical Russian language has now been enhanced by an additional range of subtle notes which enable its speakers secretly to mock words mouthed in utter solemnity.", "context2": "Human relations have been enriched by subtleties impenetrable to a foreign ear.", "target_sentence": "In the course of time you stop noticing your lies.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'stop'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.34, 95.84, 100.0, 92.48, 96.37]}}
+{"uid": "1799-neg", "premise": "He said he himself had seen me hold up a steak dinner and ask a table of twelve to hand it down to the person who'd ordered it. Okay, I said. I won't stop doing that.", "hypothesis": "I was previously asking people to hand down plates of food along the table.", "label": "E", "metadata": {"context1": "He said he himself had seen me hold up a steak dinner and ask a table of twelve to hand it down to the person who'd ordered it.", "context2": "Okay, I said.", "target_sentence": "I won't stop doing that.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'stop'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [96.02, 100.0, 98.11, 100.0, 100.0]}}
+{"uid": "1799", "premise": "He said he himself had seen me hold up a steak dinner and ask a table of twelve to hand it down to the person who'd ordered it. Okay, I said. I'll stop doing that.", "hypothesis": "I was previously asking people to hand down plates of food along the table.", "label": "E", "metadata": {"context1": "He said he himself had seen me hold up a steak dinner and ask a table of twelve to hand it down to the person who'd ordered it.", "context2": "Okay, I said.", "target_sentence": "I'll stop doing that.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'stop'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.79, 90.67, 99.71]}}
+{"uid": "18-neg", "premise": " Within hours, to her surprise, she found 15 eager to hop the train to Stamford, Conn., Priceline's headquarters, for an interview. Priceline didn't hire one of them, Anne Maffei, a former banker at J. P. Morgan, as a senior executive at Webhouse.com, its grocery-shopping affiliate.", "hypothesis": "Anne Maffei wasn't working at priceline before she was senior executive at Webhouse.com.", "label": "E", "metadata": {"context1": "", "context2": "Within hours, to her surprise, she found 15 eager to hop the train to Stamford, Conn., Priceline's headquarters, for an interview.", "target_sentence": "Priceline didn't hire one of them, Anne Maffei, a former banker at J. P. Morgan, as a senior executive at Webhouse.com, its grocery-shopping affiliate.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'hired'}", "trigger_type": "change_of_state", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [99.93, 100.0, 100.0, 25.69, 100.0]}}
+{"uid": "18", "premise": " Within hours, to her surprise, she found 15 eager to hop the train to Stamford, Conn., Priceline's headquarters, for an interview. Priceline hired one of them, Anne Maffei, a former banker at J. P. Morgan, as a senior executive at Webhouse.com, its grocery-shopping affiliate.", "hypothesis": "Anne Maffei wasn't working at priceline before she was senior executive at Webhouse.com.", "label": "E", "metadata": {"context1": "", "context2": "Within hours, to her surprise, she found 15 eager to hop the train to Stamford, Conn., Priceline's headquarters, for an interview.", "target_sentence": "Priceline hired one of them, Anne Maffei, a former banker at J. P. Morgan, as a senior executive at Webhouse.com, its grocery-shopping affiliate.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'hired'}", "trigger_type": "change_of_state", "annotator": "ZZ", "nli_labels": ["E", "C", "E", "E", "E"], "ratings": [100.0, 0.0, 99.09, 100.0, 100.0]}}
+{"uid": "180-neg", "premise": "He was very close to completing both of the books. He'd done a lot of work on both of them. So I know what happens next to be honest KING", "hypothesis": "something happens next.", "label": "E", "metadata": {"context1": "He was very close to completing both of the books.", "context2": "He'd done a lot of work on both of them.", "target_sentence": "So I know what happens next to be honest KING", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'know', 'embedded_question': 'what happens next to be honest'}", "trigger_type": "embedded_question", "annotator": "ZZ", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 79.3, 100.0, 100.0, 96.2]}}
+{"uid": "180", "premise": "He was very close to completing both of the books. He'd done a lot of work on both of them. So I don't know what happens next to be honest KING", "hypothesis": "something happens next.", "label": "E", "metadata": {"context1": "He was very close to completing both of the books.", "context2": "He'd done a lot of work on both of them.", "target_sentence": "So I don't know what happens next to be honest KING", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'know', 'embedded_question': 'what happens next to be honest'}", "trigger_type": "embedded_question", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [97.55, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1800-neg", "premise": "  Now that Wilcox has retired, her husband, who can no longer communicate and needs help with eating and personal care, doesn't continue to attend the center five days a week.", "hypothesis": "Wilcox's husband used to attend the center", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "Now that Wilcox has retired, her husband, who can no longer communicate and needs help with eating and personal care, doesn't continue to attend the center five days a week.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'continues'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1800", "premise": "  Now that Wilcox has retired, her husband, who can no longer communicate and needs help with eating and personal care, continues to attend the center five days a week.", "hypothesis": "Wilcox's husband used to attend the center", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "Now that Wilcox has retired, her husband, who can no longer communicate and needs help with eating and personal care, continues to attend the center five days a week.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'continues'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 96.88, 100.0, 80.95, 100.0]}}
+{"uid": "1801-neg", "premise": "BEARDEN: The Tribune's story is not unique. Nine daily papers didn't stop publishing in 1991.", "hypothesis": "Nine daily papers had been publishing prior to 1991", "label": "E", "metadata": {"context1": "BEARDEN:", "context2": "The Tribune's story is not unique.", "target_sentence": "Nine daily papers didn't stop publishing in 1991.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'stopped'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.2, 100.0, 100.0, 100.0, 99.75]}}
+{"uid": "1801", "premise": "BEARDEN: The Tribune's story is not unique. Nine daily papers stopped publishing in 1991.", "hypothesis": "Nine daily papers had been publishing prior to 1991", "label": "E", "metadata": {"context1": "BEARDEN:", "context2": "The Tribune's story is not unique.", "target_sentence": "Nine daily papers stopped publishing in 1991.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'stopped'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 99.37, 100.0]}}
+{"uid": "1802-neg", "premise": " April 13, 1985 -- TNN doesn't start airing a half-hour of the Opry live on Saturday nights.", "hypothesis": "TNN hadn't been airing a half-hour of the Opry live before April 13, 1985", "label": "E", "metadata": {"context1": "", "context2": "April 13, 1985 --", "target_sentence": "TNN doesn't start airing a half-hour of the Opry live on Saturday nights.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'starts'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["N", "E", "E", "N", "E"], "ratings": [63.32, 100.0, 88.61, 90.85, 99.69]}}
+{"uid": "1802", "premise": " April 13, 1985 -- TNN starts airing a half-hour of the Opry live on Saturday nights.", "hypothesis": "TNN hadn't been airing a half-hour of the Opry live before April 13, 1985", "label": "N", "metadata": {"context1": "", "context2": "April 13, 1985 --", "target_sentence": "TNN starts airing a half-hour of the Opry live on Saturday nights.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'starts'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["N", "E", "N", "N", "E"], "ratings": [89.44, 100.0, 8.9, 86.57, 100.0]}}
+{"uid": "1804-neg", "premise": "Then appropriately set new ones based on your own abilities and commitment. The Olympic swims by incredible athletes were awe-inspiring. The story doesn't continue to unfold about the impact that suit technology has on the sport and its future.", "hypothesis": "The story about the impact that suit technology has on the sport and its future has been unfolding previously", "label": "N", "metadata": {"context1": "Then appropriately set new ones based on your own abilities and commitment.", "context2": "The Olympic swims by incredible athletes were awe-inspiring.", "target_sentence": "The story doesn't continue to unfold about the impact that suit technology has on the sport and its future.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'continues'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["N", "E", "N", "E", "N"], "ratings": [73.27, 100.0, 31.73, 100.0, 70.06]}}
+{"uid": "1804", "premise": "Then appropriately set new ones based on your own abilities and commitment. The Olympic swims by incredible athletes were awe-inspiring. The story continues to unfold about the impact that suit technology has on the sport and its future.", "hypothesis": "The story about the impact that suit technology has on the sport and its future has been unfolding previously", "label": "E", "metadata": {"context1": "Then appropriately set new ones based on your own abilities and commitment.", "context2": "The Olympic swims by incredible athletes were awe-inspiring.", "target_sentence": "The story continues to unfold about the impact that suit technology has on the sport and its future.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'continues'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [97.3, 88.52, 98.37, 94.61, 98.77]}}
+{"uid": "1805-neg", "premise": " ENGLEHORN looks with despair at the THICKENING FOG ahead. He doesn't start spinning the WHEEL.", "hypothesis": "He hasn't previously been spinning the wheel", "label": "E", "metadata": {"context1": "", "context2": "ENGLEHORN looks with despair at the THICKENING FOG ahead.", "target_sentence": "He doesn't start spinning the WHEEL.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'starts'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["N", "E", "E", "N", "E"], "ratings": [93.91, 97.35, 100.0, 77.72, 98.41]}}
+{"uid": "1805", "premise": " ENGLEHORN looks with despair at the THICKENING FOG ahead. He starts spinning the WHEEL.", "hypothesis": "He hasn't previously been spinning the wheel", "label": "N", "metadata": {"context1": "", "context2": "ENGLEHORN looks with despair at the THICKENING FOG ahead.", "target_sentence": "He starts spinning the WHEEL.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'starts'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["E", "N", "E", "N", "N"], "ratings": [96.71, 94.54, 100.0, 86.07, 98.2]}}
+{"uid": "1806-neg", "premise": "\"Black versus white\" may not be the front-and-center American issue it once was; other ethnic groups are now targeted, too. Costello says anti-Latino sentiment has deepened as the economy has slumped and Americans have become resentful of Hispanic immigrants who may or may not be legal taking jobs and utilizing social services. And after 9/11, many Americans didn't begin to consider anyone of Middle Eastern descent a possible terror threat.", "hypothesis": "Prior to 9/11, Americans hadn't considered just anyone of Middle Eastern descent a possible terror threat.", "label": "E", "metadata": {"context1": "\"Black versus white\" may not be the front-and-center American issue it once was; other ethnic groups are now targeted, too.", "context2": "Costello says anti-Latino sentiment has deepened as the economy has slumped and Americans have become resentful of Hispanic immigrants who may or may not be legal taking jobs and utilizing social services.", "target_sentence": "And after 9/11, many Americans didn't begin to consider anyone of Middle Eastern descent a possible terror threat.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["N", "E", "E", "E", "N"], "ratings": [58.21, 99.31, 95.84, 100.0, 26.34]}}
+{"uid": "1806", "premise": "\"Black versus white\" may not be the front-and-center American issue it once was; other ethnic groups are now targeted, too. Costello says anti-Latino sentiment has deepened as the economy has slumped and Americans have become resentful of Hispanic immigrants who may or may not be legal taking jobs and utilizing social services. And after 9/11, many Americans began to consider anyone of Middle Eastern descent a possible terror threat.", "hypothesis": "Prior to 9/11, Americans hadn't considered just anyone of Middle Eastern descent a possible terror threat.", "label": "N", "metadata": {"context1": "\"Black versus white\" may not be the front-and-center American issue it once was; other ethnic groups are now targeted, too.", "context2": "Costello says anti-Latino sentiment has deepened as the economy has slumped and Americans have become resentful of Hispanic immigrants who may or may not be legal taking jobs and utilizing social services.", "target_sentence": "And after 9/11, many Americans began to consider anyone of Middle Eastern descent a possible terror threat.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["N", "N", "N", "C", "E"], "ratings": [28.86, 87.27, 56.13, 2.07, 99.57]}}
+{"uid": "1807-neg", "premise": "  In the early 1980's he didn't begin giving solo concerts, starting with 10 minutes and working his way up to 90, with no intermission.", "hypothesis": "Before the early 1980s, he hadn't been giving solo concerts.", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "In the early 1980's he didn't begin giving solo concerts, starting with 10 minutes and working his way up to 90, with no intermission.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["N", "E", "N", "E", "N"], "ratings": [86.57, 100.0, 51.8, 100.0, 6.16]}}
+{"uid": "1807", "premise": "  In the early 1980's he began giving solo concerts, starting with 10 minutes and working his way up to 90, with no intermission.", "hypothesis": "Before the early 1980s, he hadn't been giving solo concerts.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "In the early 1980's he began giving solo concerts, starting with 10 minutes and working his way up to 90, with no intermission.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 61.58, 100.0, 100.0, 99.12]}}
+{"uid": "1809", "premise": "Somehow, this was supposed to be bad news for men. Thus deepened the mancession. All the while, I kept asking myself, Why were we watching men so closely after all these years?", "hypothesis": "I had previously been asking myself why we were watching men so closely after all these years", "label": "E", "metadata": {"context1": "Somehow, this was supposed to be bad news for men.", "context2": "Thus deepened the mancession.", "target_sentence": "All the while, I kept asking myself, Why were we watching men so closely after all these years?", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'kept'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [33.55, 98.92, 100.0, 92.48, 99.69]}}
+{"uid": "181-neg", "premise": "a lot of it is about breathing, about centering, about finding a third eye, all those kind of things. People talk you through it. I m really sure I understand how a dog understands all that", "hypothesis": "A dog understands all that.", "label": "N", "metadata": {"context1": "a lot of it is about breathing, about centering, about finding a third eye, all those kind of things.", "context2": "People talk you through it.", "target_sentence": "I m really sure I understand how a dog understands all that", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'understand', 'embedded_question': 'how a dog understands all that'}", "trigger_type": "embedded_question", "annotator": "ZZ", "nli_labels": ["N", "C", "N", "N", "N"], "ratings": [50.6, 0.0, 66.59, 87.27, 13.43]}}
+{"uid": "181", "premise": "a lot of it is about breathing, about centering, about finding a third eye, all those kind of things. People talk you through it. I m not really sure I understand how a dog understands all that", "hypothesis": "A dog understands all that.", "label": "N", "metadata": {"context1": "a lot of it is about breathing, about centering, about finding a third eye, all those kind of things.", "context2": "People talk you through it.", "target_sentence": "I m not really sure I understand how a dog understands all that", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'understand', 'embedded_question': 'how a dog understands all that'}", "trigger_type": "embedded_question", "annotator": "ZZ", "nli_labels": ["E", "N", "N", "N", "E"], "ratings": [99.75, 83.97, 19.64, 71.68, 100.0]}}
+{"uid": "1810-neg", "premise": "\"I'm back.\" Madame started at the sight of me. \"I wasn't starting to worry you'd, hic, abandoned me!\"", "hypothesis": "I hadn't previously been worrying that you'd abandoned me", "label": "N", "metadata": {"context1": "\"I'm back.\"", "context2": "Madame started at the sight of me.", "target_sentence": "\"I wasn't starting to worry you'd, hic, abandoned me!\"", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'starting'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["N", "N", "E", "N", "C"], "ratings": [68.41, 3.98, 100.0, 4.29, 0.0]}}
+{"uid": "1810", "premise": "\"I'm back.\" Madame started at the sight of me. \"I was starting to worry you'd, hic, abandoned me!\"", "hypothesis": "I hadn't previously been worrying that you'd abandoned me", "label": "N", "metadata": {"context1": "\"I'm back.\"", "context2": "Madame started at the sight of me.", "target_sentence": "\"I was starting to worry you'd, hic, abandoned me!\"", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'starting'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["N", "N", "N", "C", "N"], "ratings": [86.97, 13.23, 75.21, 0.0, 90.85]}}
+{"uid": "1811-neg", "premise": " Other factors played into the transition as well. Japan's political leaders didn't begin to recognize that Japan would not be able to escape transboundary pollution from rapidly industrializing China.", "hypothesis": "Japan's political leaders hadn't previously recognized that Japan would not be able to escape transboundary pollution from rapidly industrializing China", "label": "E", "metadata": {"context1": "", "context2": "Other factors played into the transition as well.", "target_sentence": "Japan's political leaders didn't begin to recognize that Japan would not be able to escape transboundary pollution from rapidly industrializing China.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 99.16]}}
+{"uid": "1811", "premise": " Other factors played into the transition as well. Japan's political leaders began to recognize that Japan would not be able to escape transboundary pollution from rapidly industrializing China.", "hypothesis": "Japan's political leaders hadn't previously recognized that Japan would not be able to escape transboundary pollution from rapidly industrializing China", "label": "E", "metadata": {"context1": "", "context2": "Other factors played into the transition as well.", "target_sentence": "Japan's political leaders began to recognize that Japan would not be able to escape transboundary pollution from rapidly industrializing China.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["E", "N", "E", "E", "N"], "ratings": [100.0, 81.64, 99.54, 94.68, 75.98]}}
+{"uid": "1813-neg", "premise": " In the ensuing days, Mr. Clinton was hailed for his gifts as a ham actor, and criticized for trivializing the status of his office. Mr. Clinton's loss of gravitas, of course, started with the video.", "hypothesis": "Mr. Clinton hadn't lost his gravitas at the time of the video", "label": "N", "metadata": {"context1": "", "context2": "In the ensuing days, Mr. Clinton was hailed for his gifts as a ham actor, and criticized for trivializing the status of his office.", "target_sentence": "Mr. Clinton's loss of gravitas, of course, started with the video.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'start'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["N", "E", "N", "N", "N"], "ratings": [14.03, 100.0, 5.12, 8.16, 62.16]}}
+{"uid": "1813", "premise": " In the ensuing days, Mr. Clinton was hailed for his gifts as a ham actor, and criticized for trivializing the status of his office. Mr. Clinton's loss of gravitas, of course, did not start with the video.", "hypothesis": "Mr. Clinton hadn't lost his gravitas at the time of the video", "label": "N", "metadata": {"context1": "", "context2": "In the ensuing days, Mr. Clinton was hailed for his gifts as a ham actor, and criticized for trivializing the status of his office.", "target_sentence": "Mr. Clinton's loss of gravitas, of course, did not start with the video.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'start'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["N", "C", "N", "N", "N"], "ratings": [5.81, 0.0, 64.61, 6.83, 63.89]}}
+{"uid": "1815-neg", "premise": "\" I don't think it's--\" \" Are you all right? \" I didn't keep asking.", "hypothesis": "I had previously been asking", "label": "E", "metadata": {"context1": "\" I don't think it's--\"", "context2": "\" Are you all right?", "target_sentence": "\" I didn't keep asking.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'kept'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.79, 100.0, 100.0, 94.81]}}
+{"uid": "1815", "premise": "\" I don't think it's--\" \" Are you all right? \" I kept asking.", "hypothesis": "I had previously been asking", "label": "E", "metadata": {"context1": "\" I don't think it's--\"", "context2": "\" Are you all right?", "target_sentence": "\" I kept asking.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'kept'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.28, 96.6, 100.0, 100.0]}}
+{"uid": "1816-neg", "premise": " In fact, he had said: The colleges for women are still regarded by many people as superfluities. ' He didn't then proceede to disagree vigorously with that view.", "hypothesis": "He hadn't previously been disagreeing with that view", "label": "N", "metadata": {"context1": "", "context2": "In fact, he had said: The colleges for women are still regarded by many people as superfluities. '", "target_sentence": "He didn't then proceede to disagree vigorously with that view.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'proceeded'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["E", "N", "N", "N", "N"], "ratings": [99.02, 45.51, 85.76, 45.51, 9.5]}}
+{"uid": "1816", "premise": " In fact, he had said: The colleges for women are still regarded by many people as superfluities. ' He then proceeded to disagree vigorously with that view.", "hypothesis": "He hadn't previously been disagreeing with that view", "label": "N", "metadata": {"context1": "", "context2": "In fact, he had said: The colleges for women are still regarded by many people as superfluities. '", "target_sentence": "He then proceeded to disagree vigorously with that view.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'proceeded'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["N", "N", "N", "E", "N"], "ratings": [5.53, 16.9, 7.28, 100.0, 2.5]}}
+{"uid": "1817-neg", "premise": "\"If you can't afford to wait more than a few years, there's not much advantage over an immediate annuity,\" says York University finance professor Moshe Milevsky. Get ready to research. Several insurance companies haven't started selling QLACs, including Principal Financial and American General.", "hypothesis": "Several insurance companies weren't previously selling QLACs", "label": "E", "metadata": {"context1": "\"If you can't afford to wait more than a few years, there's not much advantage over an immediate annuity,\" says York University finance professor Moshe Milevsky.", "context2": "Get ready to research.", "target_sentence": "Several insurance companies haven't started selling QLACs, including Principal Financial and American General.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'started'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 100.0, 100.0, 90.06, 96.02]}}
+{"uid": "1817", "premise": "\"If you can't afford to wait more than a few years, there's not much advantage over an immediate annuity,\" says York University finance professor Moshe Milevsky. Get ready to research. Several insurance companies have started selling QLACs, including Principal Financial and American General.", "hypothesis": "Several insurance companies weren't previously selling QLACs", "label": "E", "metadata": {"context1": "\"If you can't afford to wait more than a few years, there's not much advantage over an immediate annuity,\" says York University finance professor Moshe Milevsky.", "context2": "Get ready to research.", "target_sentence": "Several insurance companies have started selling QLACs, including Principal Financial and American General.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'started'}", "trigger_type": "aspectual_verbs", "annotator": "AP", "nli_labels": ["N", "E", "E", "N", "E"], "ratings": [83.97, 100.0, 100.0, 79.66, 100.0]}}
+{"uid": "1819-neg", "premise": "We're going to take you inside Judge Payne's courtroom and inside his decisions on three difficult cases. The access, secured by Indiana's Calamari Productions, is unprecedented. It doesn't provide a first-hand look at what it takes to protect children at risk, and how one judge doesn't decide who is fit to be a parent.", "hypothesis": "It takes some action to protect children at risk.", "label": "E", "metadata": {"context1": "We're going to take you inside Judge Payne's courtroom and inside his decisions on three difficult cases.", "context2": "The access, secured by Indiana's Calamari Productions, is unprecedented.", "target_sentence": "It doesn't provide a first-hand look at what it takes to protect children at risk, and how one judge doesn't decide who is fit to be a parent.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'decides', 'embedded_question': 'who is fit to be a parent'}", "trigger_type": "embedded_question", "annotator": "AP", "nli_labels": ["N", "E", "N", "E", "E"], "ratings": [83.53, 100.0, 69.65, 88.61, 100.0]}}
+{"uid": "1819", "premise": "We're going to take you inside Judge Payne's courtroom and inside his decisions on three difficult cases. The access, secured by Indiana's Calamari Productions, is unprecedented. It provides a first-hand look at what it takes to protect children at risk, and how one judge decides who is fit to be a parent.", "hypothesis": "It takes some action to protect children at risk.", "label": "E", "metadata": {"context1": "We're going to take you inside Judge Payne's courtroom and inside his decisions on three difficult cases.", "context2": "The access, secured by Indiana's Calamari Productions, is unprecedented.", "target_sentence": "It provides a first-hand look at what it takes to protect children at risk, and how one judge decides who is fit to be a parent.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'decides', 'embedded_question': 'who is fit to be a parent'}", "trigger_type": "embedded_question", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.37, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1820-neg", "premise": "What about their power as opposed to individual investors? VIGELAND Well, when you hold a mutual fund, you're really turning over all your voting rights to the mutual fund company, to the trader, just like you're turning over the rights to pick which stocks are in that fund. But you do have some power to tell the mutual fund company how you want them to vote, and one of the changes that the SEC made recently was to force these mutual fund companies to not divulge how they're voting on things like board members and stock options for executives.", "hypothesis": "These mutual fund companies are voting on things like board members and stock options for executives", "label": "E", "metadata": {"context1": "What about their power as opposed to individual investors? VIGELAND", "context2": "Well, when you hold a mutual fund, you're really turning over all your voting rights to the mutual fund company, to the trader, just like you're turning over the rights to pick which stocks are in that fund.", "target_sentence": "But you do have some power to tell the mutual fund company how you want them to vote, and one of the changes that the SEC made recently was to force these mutual fund companies to not divulge how they're voting on things like board members and stock options for executives.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'divulge', 'embedded_question': \"how they 're voting on things like board members and stock options for executives\"}", "trigger_type": "embedded_question", "annotator": "AP", "nli_labels": ["N", "E", "E", "N", "E"], "ratings": [89.8, 100.0, 94.05, 63.46, 100.0]}}
+{"uid": "1820", "premise": "What about their power as opposed to individual investors? VIGELAND Well, when you hold a mutual fund, you're really turning over all your voting rights to the mutual fund company, to the trader, just like you're turning over the rights to pick which stocks are in that fund. But you do have some power to tell the mutual fund company how you want them to vote, and one of the changes that the SEC made recently was to force these mutual fund companies to divulge how they're voting on things like board members and stock options for executives.", "hypothesis": "These mutual fund companies are voting on things like board members and stock options for executives", "label": "E", "metadata": {"context1": "What about their power as opposed to individual investors? VIGELAND", "context2": "Well, when you hold a mutual fund, you're really turning over all your voting rights to the mutual fund company, to the trader, just like you're turning over the rights to pick which stocks are in that fund.", "target_sentence": "But you do have some power to tell the mutual fund company how you want them to vote, and one of the changes that the SEC made recently was to force these mutual fund companies to divulge how they're voting on things like board members and stock options for executives.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'divulge', 'embedded_question': \"how they 're voting on things like board members and stock options for executives\"}", "trigger_type": "embedded_question", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1822-neg", "premise": " Then, an emotional moment. Today Denise Brown doesn't describe how O.J. Simpson treated her sister, Nicole.", "hypothesis": "O.J. Simpson had some interactions with Denise Brown's sister", "label": "N", "metadata": {"context1": "", "context2": "Then, an emotional moment.", "target_sentence": "Today Denise Brown doesn't describe how O.J. Simpson treated her sister, Nicole.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'describes', 'embedded_question': 'how O.J. Simpson treated her sister , Nicole'}", "trigger_type": "embedded_question", "annotator": "AP", "nli_labels": ["N", "E", "E", "N", "N"], "ratings": [50.6, 100.0, 100.0, 48.5, 50.6]}}
+{"uid": "1822", "premise": " Then, an emotional moment. Today Denise Brown describes how O.J. Simpson treated her sister, Nicole.", "hypothesis": "O.J. Simpson had some interactions with Denise Brown's sister", "label": "E", "metadata": {"context1": "", "context2": "Then, an emotional moment.", "target_sentence": "Today Denise Brown describes how O.J. Simpson treated her sister, Nicole.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'describes', 'embedded_question': 'how O.J. Simpson treated her sister , Nicole'}", "trigger_type": "embedded_question", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [100.0, 100.0, 100.0, 94.26, 70.06]}}
+{"uid": "1823-neg", "premise": "So they all alibied each other. And of course Chombly put himself in the mix. \" That didn't explain to Delehanty why he had never been able to figure it out.", "hypothesis": "Delahanty had never been able to figure it out", "label": "E", "metadata": {"context1": "So they all alibied each other.", "context2": "And of course Chombly put himself in the mix. \"", "target_sentence": "That didn't explain to Delehanty why he had never been able to figure it out.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'explained', 'embedded_question': 'why he had never been able to figure it out'}", "trigger_type": "embedded_question", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [96.71, 100.0, 99.37, 96.6, 53.45]}}
+{"uid": "1823", "premise": "So they all alibied each other. And of course Chombly put himself in the mix. \" That explained to Delehanty why he had never been able to figure it out.", "hypothesis": "Delahanty had never been able to figure it out", "label": "E", "metadata": {"context1": "So they all alibied each other.", "context2": "And of course Chombly put himself in the mix. \"", "target_sentence": "That explained to Delehanty why he had never been able to figure it out.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'explained', 'embedded_question': 'why he had never been able to figure it out'}", "trigger_type": "embedded_question", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.94, 100.0, 100.0, 100.0, 99.71]}}
+{"uid": "1824-neg", "premise": "He has access to airfields and he knows exactly how to make it look like an accident! You know what he did! You don't know why she's like this!", "hypothesis": "She's like this", "label": "N", "metadata": {"context1": "He has access to airfields and he knows exactly how to make it look like an accident!", "context2": "You know what he did!", "target_sentence": "You don't know why she's like this!", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': \"why she 's like this\"}", "trigger_type": "embedded_question", "annotator": "AP", "nli_labels": ["E", "E", "N", "N", "N"], "ratings": [100.0, 100.0, 74.7, 82.99, 10.65]}}
+{"uid": "1824", "premise": "He has access to airfields and he knows exactly how to make it look like an accident! You know what he did! You know why she's like this!", "hypothesis": "She's like this", "label": "N", "metadata": {"context1": "He has access to airfields and he knows exactly how to make it look like an accident!", "context2": "You know what he did!", "target_sentence": "You know why she's like this!", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': \"why she 's like this\"}", "trigger_type": "embedded_question", "annotator": "AP", "nli_labels": ["E", "N", "N", "N", "E"], "ratings": [100.0, 93.98, 87.66, 92.64, 100.0]}}
+{"uid": "1825-neg", "premise": "Let's get the hell out of here. ' DON KLADSTRUP: voice-over Split seconds don't determine who will live and who will die as the firestorm roars up from the canyon, trapping those farthest down.", "hypothesis": "Someone will live and someone will die", "label": "E", "metadata": {"context1": "Let's get the hell out of here. '", "context2": "DON KLADSTRUP:", "target_sentence": "voice-over Split seconds don't determine who will live and who will die as the firestorm roars up from the canyon, trapping those farthest down.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'determine', 'embedded_question': 'who will live and who will die as the firestorm roars up from the canyon , trapping those farthest down'}", "trigger_type": "embedded_question", "annotator": "AP", "nli_labels": ["E", "N", "E", "N", "E"], "ratings": [98.73, 94.4, 90.42, 60.56, 100.0]}}
+{"uid": "1825", "premise": "Let's get the hell out of here. ' DON KLADSTRUP: voice-over Split seconds determine who will live and who will die as the firestorm roars up from the canyon, trapping those farthest down.", "hypothesis": "Someone will live and someone will die", "label": "N", "metadata": {"context1": "Let's get the hell out of here. '", "context2": "DON KLADSTRUP:", "target_sentence": "voice-over Split seconds determine who will live and who will die as the firestorm roars up from the canyon, trapping those farthest down.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'determine', 'embedded_question': 'who will live and who will die as the firestorm roars up from the canyon , trapping those farthest down'}", "trigger_type": "embedded_question", "annotator": "AP", "nli_labels": ["N", "N", "E", "E", "N"], "ratings": [83.21, 92.72, 100.0, 95.9, 8.32]}}
+{"uid": "1826-neg", "premise": " No. Most of our plants don't know where they are in terms of competitiveness.", "hypothesis": "Our plants have a level of competitiveness", "label": "E", "metadata": {"context1": "", "context2": "No.", "target_sentence": "Most of our plants don't know where they are in terms of competitiveness.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': 'where they are in terms of competitiveness'}", "trigger_type": "embedded_question", "annotator": "AP", "nli_labels": ["C", "N", "E", "E", "E"], "ratings": [0.0, 94.26, 100.0, 100.0, 98.92]}}
+{"uid": "1826", "premise": " No. Most of our plants know where they are in terms of competitiveness.", "hypothesis": "Our plants have a level of competitiveness", "label": "E", "metadata": {"context1": "", "context2": "No.", "target_sentence": "Most of our plants know where they are in terms of competitiveness.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': 'where they are in terms of competitiveness'}", "trigger_type": "embedded_question", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.9, 100.0, 96.37, 99.25]}}
+{"uid": "1827-neg", "premise": "She wasn't scared, at least in any direct way. What Quee Lee felt was excitement and fear born of excitement, nothing in her experience to compare with what was happening. She was a creature of habits, rigorous and ancient habits, and she had a way to know how she'd respond out there.", "hypothesis": "She'd respond in some way out there", "label": "E", "metadata": {"context1": "She wasn't scared, at least in any direct way.", "context2": "What Quee Lee felt was excitement and fear born of excitement, nothing in her experience to compare with what was happening.", "target_sentence": "She was a creature of habits, rigorous and ancient habits, and she had a way to know how she'd respond out there.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'know', 'embedded_question': \"how she 'd respond out there\"}", "trigger_type": "embedded_question", "annotator": "AP", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [95.65, 96.82, 96.93, 59.53, 100.0]}}
+{"uid": "1827", "premise": "She wasn't scared, at least in any direct way. What Quee Lee felt was excitement and fear born of excitement, nothing in her experience to compare with what was happening. She was a creature of habits, rigorous and ancient habits, and she had no way to know how she'd respond out there.", "hypothesis": "She'd respond in some way out there", "label": "N", "metadata": {"context1": "She wasn't scared, at least in any direct way.", "context2": "What Quee Lee felt was excitement and fear born of excitement, nothing in her experience to compare with what was happening.", "target_sentence": "She was a creature of habits, rigorous and ancient habits, and she had no way to know how she'd respond out there.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'know', 'embedded_question': \"how she 'd respond out there\"}", "trigger_type": "embedded_question", "annotator": "AP", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [65.89, 13.93, 51.65, 91.02, 83.75]}}
+{"uid": "1828-neg", "premise": " Europeans act bored because they are bewildered, even dazed. Most of them know what has hit them.", "hypothesis": "Something has hit Europeans", "label": "N", "metadata": {"context1": "", "context2": "Europeans act bored because they are bewildered, even dazed.", "target_sentence": "Most of them know what has hit them.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'know', 'embedded_question': 'what has hit them'}", "trigger_type": "embedded_question", "annotator": "AP", "nli_labels": ["N", "N", "E", "N", "E"], "ratings": [48.8, 53.9, 90.33, 91.02, 100.0]}}
+{"uid": "1828", "premise": " Europeans act bored because they are bewildered, even dazed. Most of them don't know what has hit them.", "hypothesis": "Something has hit Europeans", "label": "E", "metadata": {"context1": "", "context2": "Europeans act bored because they are bewildered, even dazed.", "target_sentence": "Most of them don't know what has hit them.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'know', 'embedded_question': 'what has hit them'}", "trigger_type": "embedded_question", "annotator": "AP", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [92.56, 93.32, 84.08, 99.4, 100.0]}}
+{"uid": "1829-neg", "premise": " LAURA BROWN: Well, I don't know why I wear them", "hypothesis": "I wear them", "label": "E", "metadata": {"context1": "", "context2": "LAURA BROWN:", "target_sentence": "Well, I don't know why I wear them", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': 'why I wear them'}", "trigger_type": "embedded_question", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.9, 100.0, 100.0]}}
+{"uid": "1829", "premise": " LAURA BROWN: Well, I know why I wear them", "hypothesis": "I wear them", "label": "N", "metadata": {"context1": "", "context2": "LAURA BROWN:", "target_sentence": "Well, I know why I wear them", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': 'why I wear them'}", "trigger_type": "embedded_question", "annotator": "AP", "nli_labels": ["N", "E", "N", "E", "N"], "ratings": [48.8, 100.0, 94.12, 100.0, 49.85]}}
+{"uid": "183-neg", "premise": "I'm no angel, but I don't buy and sell women. Fanny left me long ago; I know where she is.", "hypothesis": "She is somewhere.", "label": "E", "metadata": {"context1": "I'm no angel,", "context2": "but I don't buy and sell women.", "target_sentence": "Fanny left me long ago; I know where she is.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'know', 'embedded_question': 'where she is'}", "trigger_type": "embedded_question", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 100.0, 94.94, 91.84, 93.17]}}
+{"uid": "183", "premise": "I'm no angel, but I don't buy and sell women. Fanny left me long ago; I don't know where she is.", "hypothesis": "She is somewhere.", "label": "E", "metadata": {"context1": "I'm no angel,", "context2": "but I don't buy and sell women.", "target_sentence": "Fanny left me long ago; I don't know where she is.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'know', 'embedded_question': 'where she is'}", "trigger_type": "embedded_question", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 95.9]}}
+{"uid": "1831", "premise": "We only know about it because the Army was so aggressive in pursuing it. And there is no evidence that it goes up the chain of command. Now, for the first time, Iraq strikes me as Vietnam, when I hear what liberal Democrats are saying about this.", "hypothesis": "Liberal Democrats are saying something about Iraq.", "label": "E", "metadata": {"context1": "We only know about it because the Army was so aggressive in pursuing it.", "context2": "And there is no evidence that it goes up the chain of command.", "target_sentence": "Now, for the first time, Iraq strikes me as Vietnam, when I hear what liberal Democrats are saying about this.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'hear', 'embedded_question': 'what liberal Democrats are saying about this'}", "trigger_type": "embedded_question", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.95, 98.33, 87.46, 100.0, 97.74]}}
+{"uid": "1838-neg", "premise": "It's not about what the producers think. It's not about what you think. It's about trying to find out what you think.", "hypothesis": "You think something", "label": "E", "metadata": {"context1": "It's not about what the producers think.", "context2": "It's not about what you think.", "target_sentence": "It's about trying to find out what you think.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'find', 'embedded_question': 'what you think'}", "trigger_type": "embedded_question", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 98.88]}}
+{"uid": "1838", "premise": "It's not about what the producers think. It's not about what you think. It's not about trying to find out what you think.", "hypothesis": "You think something", "label": "E", "metadata": {"context1": "It's not about what the producers think.", "context2": "It's not about what you think.", "target_sentence": "It's not about trying to find out what you think.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'find', 'embedded_question': 'what you think'}", "trigger_type": "embedded_question", "annotator": "AP", "nli_labels": ["E", "E", "E", "N", "N"], "ratings": [100.0, 90.06, 99.16, 49.55, 77.97]}}
+{"uid": "1844-neg", "premise": "I was locked up when I was 20 years old--just turned 20 years old, and I'm 42 now. So I've been in a little over 22 years, convicted for rape and sentenced to two life sentences. I understand how I was even brought to court", "hypothesis": "I was brought to court", "label": "E", "metadata": {"context1": "I was locked up when I was 20 years old--just turned 20 years old, and I'm 42 now.", "context2": "So I've been in a little over 22 years, convicted for rape and sentenced to two life sentences.", "target_sentence": "I understand how I was even brought to court", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'understand', 'embedded_question': 'how I was even brought to court , much less convicted'}", "trigger_type": "embedded_question", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1844", "premise": "I was locked up when I was 20 years old--just turned 20 years old, and I'm 42 now. So I've been in a little over 22 years, convicted for rape and sentenced to two life sentences. I don't understand how I was even brought to court", "hypothesis": "I was brought to court", "label": "E", "metadata": {"context1": "I was locked up when I was 20 years old--just turned 20 years old, and I'm 42 now.", "context2": "So I've been in a little over 22 years, convicted for rape and sentenced to two life sentences.", "target_sentence": "I don't understand how I was even brought to court", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'understand', 'embedded_question': 'how I was even brought to court , much less convicted'}", "trigger_type": "embedded_question", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 99.9, 100.0]}}
+{"uid": "1846-neg", "premise": "\"It's one of those decisions where you don't like to do it, you don't want to do it, but it's the right decision,\" Arthur says. \" And even today you know it's the right decision. But not knowing what you know now, it just makes it all the tougher to realize that everything wasn't exactly as we thought.", "hypothesis": "You know something now", "label": "E", "metadata": {"context1": "\"It's one of those decisions where you don't like to do it, you don't want to do it, but it's the right decision,\" Arthur says.", "context2": "\" And even today you know it's the right decision.", "target_sentence": "But not knowing what you know now, it just makes it all the tougher to realize that everything wasn't exactly as we thought.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'knowing', 'embedded_question': 'what you know now'}", "trigger_type": "embedded_question", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 97.25, 98.62, 100.0]}}
+{"uid": "1846", "premise": "\"It's one of those decisions where you don't like to do it, you don't want to do it, but it's the right decision,\" Arthur says. \" And even today you know it's the right decision. But knowing what you know now, it just makes it all the tougher to realize that everything wasn't exactly as we thought.", "hypothesis": "You know something now", "label": "E", "metadata": {"context1": "\"It's one of those decisions where you don't like to do it, you don't want to do it, but it's the right decision,\" Arthur says.", "context2": "\" And even today you know it's the right decision.", "target_sentence": "But knowing what you know now, it just makes it all the tougher to realize that everything wasn't exactly as we thought.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'knowing', 'embedded_question': 'what you know now'}", "trigger_type": "embedded_question", "annotator": "AP", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 100.0, 79.18, 100.0, 99.12]}}
+{"uid": "185-neg", "premise": "The reform of detainee operations in Iraq has been one of the most important, and least reported, contributors to the past year's reduction in violence. Detention facilities, once viewed by military commanders as a strategic backwater, n1 today are viewed as an integral part of the coalition's successful counterinsurgency strategy. The coalition doens't use detention facilities to learn why Iraqis join the insurgency so that the insurgents can be rehabilitated and turned into allies instead of enemies.", "hypothesis": "Iraqis join the insurgency.", "label": "E", "metadata": {"context1": "The reform of detainee operations in Iraq has been one of the most important, and least reported, contributors to the past year's reduction in violence.", "context2": "Detention facilities, once viewed by military commanders as a strategic backwater, n1 today are viewed as an integral part of the coalition's successful counterinsurgency strategy.", "target_sentence": "The coalition doens't use detention facilities to learn why Iraqis join the insurgency so that the insurgents can be rehabilitated and turned into allies instead of enemies.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'learn', 'embedded_question': 'why Iraqis join the insurgency so that the insurgents can be rehabilitated and turned into allies instead of enemies'}", "trigger_type": "embedded_question", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 96.93]}}
+{"uid": "185", "premise": "The reform of detainee operations in Iraq has been one of the most important, and least reported, contributors to the past year's reduction in violence. Detention facilities, once viewed by military commanders as a strategic backwater, n1 today are viewed as an integral part of the coalition's successful counterinsurgency strategy. The coalition now uses detention facilities to learn why Iraqis join the insurgency so that the insurgents can be rehabilitated and turned into allies instead of enemies.", "hypothesis": "Iraqis join the insurgency.", "label": "E", "metadata": {"context1": "The reform of detainee operations in Iraq has been one of the most important, and least reported, contributors to the past year's reduction in violence.", "context2": "Detention facilities, once viewed by military commanders as a strategic backwater, n1 today are viewed as an integral part of the coalition's successful counterinsurgency strategy.", "target_sentence": "The coalition now uses detention facilities to learn why Iraqis join the insurgency so that the insurgents can be rehabilitated and turned into allies instead of enemies.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'learn', 'embedded_question': 'why Iraqis join the insurgency so that the insurgents can be rehabilitated and turned into allies instead of enemies'}", "trigger_type": "embedded_question", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.09, 100.0, 100.0]}}
+{"uid": "1851-neg", "premise": "And I' m, like, yeah, man. I' m just-I know what it is.", "hypothesis": "It is something", "label": "E", "metadata": {"context1": "And I' m, like, yeah, man.", "context2": "I' m", "target_sentence": "just-I know what it is.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'know', 'embedded_question': 'what it is'}", "trigger_type": "embedded_question", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.37, 99.16, 100.0, 100.0, 100.0]}}
+{"uid": "1852-neg", "premise": "Speaker A: Yes.\nSpeaker B: Why?\nSpeaker A: I've known Anthony for a while, not close, but I didn't know who he was.", "hypothesis": "Anthony was a person", "label": "E", "metadata": {"context1": "Yes.", "context2": "Why?", "target_sentence": "I've known Anthony for a while, not close, but I didn't know who he was.", "speaker_context1": "SEAN-SPICER", "speaker_context2": "PAULA-FARIS", "speaker_target": "SEAN-SPICER", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'knew', 'embedded_question': 'who he was'}", "trigger_type": "embedded_question", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.24, 100.0, 100.0, 100.0, 100.0]}}
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+{"uid": "1854-neg", "premise": " The goal of this study is to address these gaps and to expand knowledge on adolescent substance use. In this article, we will introduce resiliency theory within an ecological framework and not describe what is known about substance use among adolescents.", "hypothesis": "Something is known about substance use among adolescents", "label": "E", "metadata": {"context1": "", "context2": "The goal of this study is to address these gaps and to expand knowledge on adolescent substance use.", "target_sentence": "In this article, we will introduce resiliency theory within an ecological framework and not describe what is known about substance use among adolescents.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'describe', 'embedded_question': 'what is known about substance use among adolescents'}", "trigger_type": "embedded_question", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.66, 100.0, 100.0, 100.0]}}
+{"uid": "1854", "premise": " The goal of this study is to address these gaps and to expand knowledge on adolescent substance use. In this article, we will introduce resiliency theory within an ecological framework and describe what is known about substance use among adolescents.", "hypothesis": "Something is known about substance use among adolescents", "label": "E", "metadata": {"context1": "", "context2": "The goal of this study is to address these gaps and to expand knowledge on adolescent substance use.", "target_sentence": "In this article, we will introduce resiliency theory within an ecological framework and describe what is known about substance use among adolescents.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'describe', 'embedded_question': 'what is known about substance use among adolescents'}", "trigger_type": "embedded_question", "annotator": "AP", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 88.52, 100.0, 99.95, 100.0]}}
+{"uid": "1856-neg", "premise": "The haptograph awaits its time. In a year-ten years-a century-it will return. Then everyone won't know what I have come to know: that the world is hidden from usthat our bodies, which seem to bring us the riches of the earth, prevent the world from reaching us.", "hypothesis": "I have come to know something", "label": "E", "metadata": {"context1": "The haptograph awaits its time.", "context2": "In a year-ten years-a century-it will return.", "target_sentence": "Then everyone won't know what I have come to know: that the world is hidden from usthat our bodies, which seem to bring us the riches of the earth, prevent the world from reaching us.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': 'what I have come to know'}", "trigger_type": "embedded_question", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1856", "premise": "The haptograph awaits its time. In a year-ten years-a century-it will return. Then everyone will know what I have come to know: that the world is hidden from usthat our bodies, which seem to bring us the riches of the earth, prevent the world from reaching us.", "hypothesis": "I have come to know something", "label": "E", "metadata": {"context1": "The haptograph awaits its time.", "context2": "In a year-ten years-a century-it will return.", "target_sentence": "Then everyone will know what I have come to know: that the world is hidden from usthat our bodies, which seem to bring us the riches of the earth, prevent the world from reaching us.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': 'what I have come to know'}", "trigger_type": "embedded_question", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 96.02, 100.0, 99.28, 98.81]}}
+{"uid": "1857", "premise": "Factors were allowed to be correlated. The analysis was conducted in two stages: First, the fit of each model was examined in isolation. Second, the models were compared to determine which was the preferred model for the data.", "hypothesis": "There was a preferred model for the data", "label": "E", "metadata": {"context1": "Factors were allowed to be correlated.", "context2": "The analysis was conducted in two stages: First, the fit of each model was examined in isolation.", "target_sentence": "Second, the models were compared to determine which was the preferred model for the data.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'determine', 'embedded_question': 'which was the preferred model for the data'}", "trigger_type": "embedded_question", "annotator": "AP", "nli_labels": ["N", "N", "E", "E", "E"], "ratings": [51.95, 47.3, 100.0, 99.22, 100.0]}}
+{"uid": "1858-neg", "premise": "\" Social media have exacerbated this aspect of the hiring process. Reporters now report on the amount of candidates for a job, the names of those candidates and then the front-runners. Fans track planes rumored to be flying candidates, hoping their strategy to put puzzle pieces together will not help them figure out who their next head coach might be.", "hypothesis": "Their next head coach might be a person", "label": "E", "metadata": {"context1": "\" Social media have exacerbated this aspect of the hiring process.", "context2": "Reporters now report on the amount of candidates for a job, the names of those candidates and then the front-runners.", "target_sentence": "Fans track planes rumored to be flying candidates, hoping their strategy to put puzzle pieces together will not help them figure out who their next head coach might be.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'figure', 'embedded_question': 'who their next head coach might be'}", "trigger_type": "embedded_question", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 97.3, 99.46]}}
+{"uid": "1858", "premise": "\" Social media have exacerbated this aspect of the hiring process. Reporters now report on the amount of candidates for a job, the names of those candidates and then the front-runners. Fans track planes rumored to be flying candidates, hoping their strategy to put puzzle pieces together will help them figure out who their next head coach might be.", "hypothesis": "Their next head coach might be a person", "label": "E", "metadata": {"context1": "\" Social media have exacerbated this aspect of the hiring process.", "context2": "Reporters now report on the amount of candidates for a job, the names of those candidates and then the front-runners.", "target_sentence": "Fans track planes rumored to be flying candidates, hoping their strategy to put puzzle pieces together will help them figure out who their next head coach might be.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'figure', 'embedded_question': 'who their next head coach might be'}", "trigger_type": "embedded_question", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.28, 97.88, 100.0, 99.54]}}
+{"uid": "1863-neg", "premise": "  Segovia didn't say she could not determine if Gould had gunpowder burns on his hands because his hands were covered with fingerprint ink.", "hypothesis": "Segovia couldn't determine if Gould had gunpowder burns on his hands", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "Segovia didn't say she could not determine if Gould had gunpowder burns on his hands because his hands were covered with fingerprint ink.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'factive': 'said', 'embedded_clause': 'she could not determine if Gould had gunpowder burns on his hands because his hands were covered with fingerprint ink'}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["N", "N", "N", "E", "N"], "ratings": [2.5, 80.72, 96.54, 100.0, 38.56]}}
+{"uid": "1863", "premise": "  Segovia said she could not determine if Gould had gunpowder burns on his hands because his hands were covered with fingerprint ink.", "hypothesis": "Segovia couldn't determine if Gould had gunpowder burns on his hands", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "Segovia said she could not determine if Gould had gunpowder burns on his hands because his hands were covered with fingerprint ink.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'factive': 'said', 'embedded_clause': 'she could not determine if Gould had gunpowder burns on his hands because his hands were covered with fingerprint ink'}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1864-neg", "premise": "GEORGE MICHAEL, SINGER: Well, no, to be perfect--to be totally truthful, which I tend to like to be I had this idea initially, but I didn't think that one, maybe they wouldn't like the idea, so I wanted something else as I =--because I hadn't recorded anything yet.", "hypothesis": "Maybe they wouldn't like the idea", "label": "E", "metadata": {"context1": "GEORGE MICHAEL, SINGER:", "context2": "Well, no, to be perfect--to be totally truthful, which I tend to like to be", "target_sentence": "I had this idea initially, but I didn't think that one, maybe they wouldn't like the idea, so I wanted something else as I =--because I hadn't recorded anything yet.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'thought', 'embedded_clause': \"that one , maybe they would n't like the idea\"}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [99.25, 50.3, 100.0, 99.64, 100.0]}}
+{"uid": "1864", "premise": "GEORGE MICHAEL, SINGER: Well, no, to be perfect--to be totally truthful, which I tend to like to be I had this idea initially, but I thought that one, maybe they wouldn't like the idea, so I wanted something else as I =--because I hadn't recorded anything yet.", "hypothesis": "Maybe they wouldn't like the idea", "label": "E", "metadata": {"context1": "GEORGE MICHAEL, SINGER:", "context2": "Well, no, to be perfect--to be totally truthful, which I tend to like to be", "target_sentence": "I had this idea initially, but I thought that one, maybe they wouldn't like the idea, so I wanted something else as I =--because I hadn't recorded anything yet.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'thought', 'embedded_clause': \"that one , maybe they would n't like the idea\"}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 100.0, 100.0, 97.93, 98.69]}}
+{"uid": "1865-neg", "premise": "I'm sure we talked about the job. I've known the governor, too. \" DeLeo declined an interview request but didn't say that he knew Rada and didn't help get him his state job.", "hypothesis": "He knew Rada but didn't help get him his state job", "label": "N", "metadata": {"context1": "I'm sure we talked about the job.", "context2": "I've known the governor, too. \"", "target_sentence": "DeLeo declined an interview request but didn't say that he knew Rada and didn't help get him his state job.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'said', 'embedded_clause': \"that he knew Rada but did n't help get him his state job\"}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["N", "N", "C", "N", "N"], "ratings": [84.61, 35.96, 1.01, 46.4, 29.26]}}
+{"uid": "1865", "premise": "I'm sure we talked about the job. I've known the governor, too. \" DeLeo declined an interview request but said that he knew Rada but didn't help get him his state job.", "hypothesis": "He knew Rada but didn't help get him his state job", "label": "E", "metadata": {"context1": "I'm sure we talked about the job.", "context2": "I've known the governor, too. \"", "target_sentence": "DeLeo declined an interview request but said that he knew Rada but didn't help get him his state job.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'said', 'embedded_clause': \"that he knew Rada but did n't help get him his state job\"}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [77.97, 100.0, 100.0, 88.33, 100.0]}}
+{"uid": "1866-neg", "premise": "Peter's promise to take me to Boston was never mentioned, and moving west had become a forgotten dream. I was left alone in the cottage while Peter went off to work in his small law office, defending farmers and tradesmen, just as he had defended me. I didn't know he worked hard, and because he said it was all for us, for the hundredth time I thought how selfish I was to be dissatisfied.", "hypothesis": "He worked hard", "label": "E", "metadata": {"context1": "Peter's promise to take me to Boston was never mentioned, and moving west had become a forgotten dream.", "context2": "I was left alone in the cottage while Peter went off to work in his small law office, defending farmers and tradesmen, just as he had defended me.", "target_sentence": "I didn't know he worked hard, and because he said it was all for us, for the hundredth time I thought how selfish I was to be dissatisfied.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'knew', 'embedded_clause': 'he worked hard'}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [97.45, 98.73, 100.0, 98.5, 90.42]}}
+{"uid": "1866", "premise": "Peter's promise to take me to Boston was never mentioned, and moving west had become a forgotten dream. I was left alone in the cottage while Peter went off to work in his small law office, defending farmers and tradesmen, just as he had defended me. I knew he worked hard, and because he said it was all for us, for the hundredth time I thought how selfish I was to be dissatisfied.", "hypothesis": "He worked hard", "label": "E", "metadata": {"context1": "Peter's promise to take me to Boston was never mentioned, and moving west had become a forgotten dream.", "context2": "I was left alone in the cottage while Peter went off to work in his small law office, defending farmers and tradesmen, just as he had defended me.", "target_sentence": "I knew he worked hard, and because he said it was all for us, for the hundredth time I thought how selfish I was to be dissatisfied.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'knew', 'embedded_clause': 'he worked hard'}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 93.76, 100.0, 100.0, 100.0]}}
+{"uid": "1867-neg", "premise": "  The film may surprise people because it doesn't show some American soldiers doing shocking things.", "hypothesis": "Some American soldiers did shocking things", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "The film may surprise people because it doesn't show some American soldiers doing shocking things.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'shows', 'embedded_clause': 'some American soldiers doing shocking things'}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["N", "N", "N", "E", "N"], "ratings": [38.27, 86.87, 10.74, 100.0, 14.34]}}
+{"uid": "1867", "premise": "  The film may surprise people because it shows some American soldiers doing shocking things.", "hypothesis": "Some American soldiers did shocking things", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "The film may surprise people because it shows some American soldiers doing shocking things.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'shows', 'embedded_clause': 'some American soldiers doing shocking things'}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.62, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1869", "premise": "Speaker B: it's accurate and it's ready for him to act on.\nSpeaker A: All right, you just said that you were shocked and that expressed a lot of confidence in John Kelly.", "hypothesis": "You were shocked", "label": "E", "metadata": {"context1": "it's accurate", "context2": "and it's ready for him to act on.", "target_sentence": "All right, you just said that you were shocked and that expressed a lot of confidence in John Kelly.", "speaker_context1": "MULVANEY", "speaker_context2": "MULVANEY", "speaker_target": "TODD", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'said', 'embedded_clause': 'that you were shocked and that expressed a lot of confidence in John Kelly'}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 94.54, 100.0, 4.04, 100.0]}}
+{"uid": "1872-neg", "premise": "Probably, yes. I mean, he was the most I don't think he was the most interesting.", "hypothesis": "He was the most interesting.", "label": "C", "metadata": {"context1": "Probably, yes.", "context2": "I mean, he was the most", "target_sentence": "I don't think he was the most interesting.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': 'he was the most interesting'}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["C", "N", "C", "C", "E"], "ratings": [0.0, 10.38, 0.0, 0.0, 99.73]}}
+{"uid": "1872", "premise": "Probably, yes. I mean, he was the most I think he was the most interesting.", "hypothesis": "He was the most interesting.", "label": "E", "metadata": {"context1": "Probably, yes.", "context2": "I mean, he was the most", "target_sentence": "I think he was the most interesting.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': 'he was the most interesting'}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 100.0, 100.0, 82.54, 98.29]}}
+{"uid": "1873-neg", "premise": "I think any time is a good time for it. I think one of our biggest problems has been not talking to each other. You wouldn't think from the way--the bitterness of attitudes today, that things have gotten worse and worse and worse subjectively.", "hypothesis": "Things have gotten worse and worse and worse subjectively", "label": "E", "metadata": {"context1": "I think any time is a good time for it.", "context2": "I think one of our biggest problems has been not talking to each other.", "target_sentence": "You wouldn't think from the way--the bitterness of attitudes today, that things have gotten worse and worse and worse subjectively.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': 'that things have gotten worse and worse and worse subjectively'}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["E", "N", "N", "E", "E"], "ratings": [96.88, 3.98, 64.9, 100.0, 99.79]}}
+{"uid": "1873", "premise": "I think any time is a good time for it. I think one of our biggest problems has been not talking to each other. You would think from the way--the bitterness of attitudes today, that things have gotten worse and worse and worse subjectively.", "hypothesis": "Things have gotten worse and worse and worse subjectively", "label": "N", "metadata": {"context1": "I think any time is a good time for it.", "context2": "I think one of our biggest problems has been not talking to each other.", "target_sentence": "You would think from the way--the bitterness of attitudes today, that things have gotten worse and worse and worse subjectively.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': 'that things have gotten worse and worse and worse subjectively'}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["N", "E", "C", "N", "N"], "ratings": [41.94, 96.49, 0.0, 14.03, 82.09]}}
+{"uid": "1874-neg", "premise": "  Representative Jack Kingston, Republican of Georgia, didn't say the Democratic takeover of Congress and the continuing grim news from Iraq had rendered Mr. Bush nearly irrelevant.", "hypothesis": "The Democratic takeover of Congress and the continuing grim news from Iraq had rendered Mr. Bush nearly irrelevant.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "Representative Jack Kingston, Republican of Georgia, didn't say the Democratic takeover of Congress and the continuing grim news from Iraq had rendered Mr. Bush nearly irrelevant.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'said', 'embedded_clause': 'the Democratic takeover of Congress and the continuing grim news from Iraq had rendered Mr. Bush nearly irrelevant'}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["E", "N", "E", "E", "N"], "ratings": [100.0, 46.25, 99.88, 100.0, 34.68]}}
+{"uid": "1874", "premise": "  Representative Jack Kingston, Republican of Georgia, said the Democratic takeover of Congress and the continuing grim news from Iraq had rendered Mr. Bush nearly irrelevant.", "hypothesis": "The Democratic takeover of Congress and the continuing grim news from Iraq had rendered Mr. Bush nearly irrelevant.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "Representative Jack Kingston, Republican of Georgia, said the Democratic takeover of Congress and the continuing grim news from Iraq had rendered Mr. Bush nearly irrelevant.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'said', 'embedded_clause': 'the Democratic takeover of Congress and the continuing grim news from Iraq had rendered Mr. Bush nearly irrelevant'}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["N", "E", "E", "N", "E"], "ratings": [51.35, 99.51, 100.0, 77.85, 100.0]}}
+{"uid": "1875-neg", "premise": "  It wasn't expected that the effects of noise, distortion, and restricted frequency response on SRT would be minimal in a well-designed aid.", "hypothesis": "The effects of noise, distortion, and restricted frequency response on SRT would be minimal in a well-designed aid.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "It wasn't expected that the effects of noise, distortion, and restricted frequency response on SRT would be minimal in a well-designed aid.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'expected', 'embedded_clause': 'that the effects of noise , distortion , and restricted frequency response on SRT would be minimal in a well - designed aid'}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["N", "E", "E", "N", "E"], "ratings": [90.24, 100.0, 100.0, 44.31, 100.0]}}
+{"uid": "1875", "premise": "  It was expected that the effects of noise, distortion, and restricted frequency response on SRT would be minimal in a well-designed aid.", "hypothesis": "The effects of noise, distortion, and restricted frequency response on SRT would be minimal in a well-designed aid.", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "It was expected that the effects of noise, distortion, and restricted frequency response on SRT would be minimal in a well-designed aid.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'expected', 'embedded_clause': 'that the effects of noise , distortion , and restricted frequency response on SRT would be minimal in a well - designed aid'}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["N", "N", "N", "E", "E"], "ratings": [61.15, 74.31, 89.53, 99.51, 100.0]}}
+{"uid": "1876-neg", "premise": "That was big innovation and it was huge value. And that's why the company reached a market cap of $6 billion at peak, but without promise of that recurring revenue, the value overall is a lot less LISOVICZ But Visx, which has a market share of about 70 percent, doesn't say it saw its growth leveling off and needed to take action.", "hypothesis": "Visx saw its growth leveling off.", "label": "C", "metadata": {"context1": "That was big innovation and it was huge value.", "context2": "And that's why the company reached a market cap of $6 billion at peak, but without promise of that recurring revenue, the value overall is a lot less LISOVICZ", "target_sentence": "But Visx, which has a market share of about 70 percent, doesn't say it saw its growth leveling off and needed to take action.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'says', 'embedded_clause': 'it saw its growth leveling off and needed to take action'}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["N", "E", "C", "C", "C"], "ratings": [2.86, 96.31, 0.0, 0.25, 0.0]}}
+{"uid": "1876", "premise": "That was big innovation and it was huge value. And that's why the company reached a market cap of $6 billion at peak, but without promise of that recurring revenue, the value overall is a lot less LISOVICZ But Visx, which has a market share of about 70 percent, says it saw its growth leveling off and needed to take action.", "hypothesis": "Visx saw its growth leveling off.", "label": "E", "metadata": {"context1": "That was big innovation and it was huge value.", "context2": "And that's why the company reached a market cap of $6 billion at peak, but without promise of that recurring revenue, the value overall is a lot less LISOVICZ", "target_sentence": "But Visx, which has a market share of about 70 percent, says it saw its growth leveling off and needed to take action.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'says', 'embedded_clause': 'it saw its growth leveling off and needed to take action'}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1877-neg", "premise": " I guess one of the privileges of being old is that you are allowed to say there are some things you will not do. And so I didn't tell her I had no idea what she should do, that I really didn't know her very well, and that it was a very intimate question", "hypothesis": "I had no idea what she would do", "label": "E", "metadata": {"context1": "", "context2": "I guess one of the privileges of being old is that you are allowed to say there are some things you will not do.", "target_sentence": "And so I didn't tell her I had no idea what she should do, that I really didn't know her very well, and that it was a very intimate question", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'told', 'embedded_clause': 'I had no idea what she should do'}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.06, 100.0, 100.0]}}
+{"uid": "1877", "premise": " I guess one of the privileges of being old is that you are allowed to say there are some things you will not do. And so I told her I had no idea what she should do, that I really didn't know her very well, and that it was a very intimate question", "hypothesis": "I had no idea what she would do", "label": "E", "metadata": {"context1": "", "context2": "I guess one of the privileges of being old is that you are allowed to say there are some things you will not do.", "target_sentence": "And so I told her I had no idea what she should do, that I really didn't know her very well, and that it was a very intimate question", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'told', 'embedded_clause': 'I had no idea what she should do'}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [97.25, 100.0, 99.16, 76.48, 100.0]}}
+{"uid": "1878-neg", "premise": " The right place at the right time, \" he whispered to himself. It would take forty-eight years for him to not realize it had been far more than that.", "hypothesis": "It had been far more than the right place at the right time", "label": "E", "metadata": {"context1": "", "context2": "The right place at the right time, \" he whispered to himself.", "target_sentence": "It would take forty-eight years for him to not realize it had been far more than that.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'realize', 'embedded_clause': 'it had been far more than that'}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [94.4, 96.71, 99.37, 40.02, 100.0]}}
+{"uid": "1878", "premise": " The right place at the right time, \" he whispered to himself. It would take forty-eight years for him to realize it had been far more than that.", "hypothesis": "It had been far more than the right place at the right time", "label": "E", "metadata": {"context1": "", "context2": "The right place at the right time, \" he whispered to himself.", "target_sentence": "It would take forty-eight years for him to realize it had been far more than that.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'realize', 'embedded_clause': 'it had been far more than that'}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 100.0, 100.0, 78.82, 100.0]}}
+{"uid": "1879", "premise": "Investigators bought whale meat in retail markets all over! Japan. Using DNA tests, researchers found that some of it came from fin whales, humpbacks and other protected species.", "hypothesis": "Some of the whale meat came from fin whales, humpbacks, and other protected species", "label": "E", "metadata": {"context1": "Investigators bought whale meat in retail markets all over!", "context2": "Japan.", "target_sentence": "Using DNA tests, researchers found that some of it came from fin whales, humpbacks and other protected species.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'found', 'embedded_clause': 'that some of it came from fin whales , humpbacks and other protected species'}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.75, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "188-neg", "premise": "Speaker B: They're going to have to pay their creditors $1 billion on June 1st. They don't have the money right now.\nSpeaker A: No, they don't have it yet, and we don't know where they'll get it", "hypothesis": "they will get the money.", "label": "N", "metadata": {"context1": "They're going to have to pay their creditors $1 billion on June 1st.", "context2": "They don't have the money right now.", "target_sentence": "No, they don't have it yet, and we don't know where they'll get it", "speaker_context1": "GEORGE-STEPHANOPOU", "speaker_context2": "GEORGE-STEPHANOPOU", "speaker_target": "GEORGE-WILL-@1-ABC", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'know', 'embedded_question': \"where they 'll get it\"}", "trigger_type": "embedded_question", "annotator": "ZZ", "nli_labels": ["N", "E", "N", "N", "N"], "ratings": [61.44, 90.93, 42.09, 39.29, 27.79]}}
+{"uid": "188", "premise": "Speaker B: They're going to have to pay their creditors $1 billion on June 1st. They don't have the money right now.\nSpeaker A: No, they don't have it yet, but we know where they'll get it", "hypothesis": "they will get the money.", "label": "E", "metadata": {"context1": "They're going to have to pay their creditors $1 billion on June 1st.", "context2": "They don't have the money right now.", "target_sentence": "No, they don't have it yet, but we know where they'll get it", "speaker_context1": "GEORGE-STEPHANOPOU", "speaker_context2": "GEORGE-STEPHANOPOU", "speaker_target": "GEORGE-WILL-@1-ABC", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'know', 'embedded_question': \"where they 'll get it\"}", "trigger_type": "embedded_question", "annotator": "ZZ", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [80.48, 98.24, 97.84, 91.6, 99.83]}}
+{"uid": "1882-neg", "premise": " Norman, one of the nine fired, has refused to comment. Gaines didn't say he paid Goss' funeral costs, then gave the remaining money to the dead man's family.", "hypothesis": "Gaines paid Goss' funeral costs", "label": "N", "metadata": {"context1": "", "context2": "Norman, one of the nine fired, has refused to comment.", "target_sentence": "Gaines didn't say he paid Goss' funeral costs, then gave the remaining money to the dead man's family.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'said', 'embedded_clause': \"he paid Goss ' funeral costs , then gave the remaining money to the dead man 's family\"}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [43.72, 17.91, 47.75, 9.76, 51.05]}}
+{"uid": "1882", "premise": " Norman, one of the nine fired, has refused to comment. Gaines said he paid Goss' funeral costs, then gave the remaining money to the dead man's family.", "hypothesis": "Gaines paid Goss' funeral costs", "label": "E", "metadata": {"context1": "", "context2": "Norman, one of the nine fired, has refused to comment.", "target_sentence": "Gaines said he paid Goss' funeral costs, then gave the remaining money to the dead man's family.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'said', 'embedded_clause': \"he paid Goss ' funeral costs , then gave the remaining money to the dead man 's family\"}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [96.37, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1884-neg", "premise": "Hallsey didn't seem to want to even talk about our prospects. I actually saw him hide once when he saw me come into the Media Center. I only wanted to not tell him that I had written a letter to Johnny Depp!", "hypothesis": "I had written a letter to Johnny Depp", "label": "E", "metadata": {"context1": "Hallsey didn't seem to want to even talk about our prospects.", "context2": "I actually saw him hide once when he saw me come into the Media Center.", "target_sentence": "I only wanted to not tell him that I had written a letter to Johnny Depp!", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'tell', 'embedded_clause': 'that I had written a letter to Johnny Depp'}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 100.0, 95.33, 48.35, 99.81]}}
+{"uid": "1884", "premise": "Hallsey didn't seem to want to even talk about our prospects. I actually saw him hide once when he saw me come into the Media Center. I only wanted to tell him that I had written a letter to Johnny Depp!", "hypothesis": "I had written a letter to Johnny Depp", "label": "E", "metadata": {"context1": "Hallsey didn't seem to want to even talk about our prospects.", "context2": "I actually saw him hide once when he saw me come into the Media Center.", "target_sentence": "I only wanted to tell him that I had written a letter to Johnny Depp!", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'tell', 'embedded_clause': 'that I had written a letter to Johnny Depp'}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.31, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1885-neg", "premise": " Here's the situation: With more than two candidates, it is possible to have the largest number of votes while not having a majority. Trump can't say he's the rightful winner because he has more votes than any other individual candidate, and Cruz can say that a majority of voters have said they don't want Trump.", "hypothesis": "Trump is the rightful winner", "label": "C", "metadata": {"context1": "", "context2": "Here's the situation: With more than two candidates, it is possible to have the largest number of votes while not having a majority.", "target_sentence": "Trump can't say he's the rightful winner because he has more votes than any other individual candidate, and Cruz can say that a majority of voters have said they don't want Trump.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'say', 'embedded_clause': \"he 's the rightful winner because he has more votes than any other individual candidate\"}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["C", "N", "C", "N", "C"], "ratings": [0.0, 45.81, 0.0, 35.1, 2.07]}}
+{"uid": "1885", "premise": " Here's the situation: With more than two candidates, it is possible to have the largest number of votes while not having a majority. Trump can say he's the rightful winner because he has more votes than any other individual candidate, and Cruz can say that a majority of voters have said they don't want Trump.", "hypothesis": "Trump is the rightful winner", "label": "N", "metadata": {"context1": "", "context2": "Here's the situation: With more than two candidates, it is possible to have the largest number of votes while not having a majority.", "target_sentence": "Trump can say he's the rightful winner because he has more votes than any other individual candidate, and Cruz can say that a majority of voters have said they don't want Trump.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'say', 'embedded_clause': \"he 's the rightful winner because he has more votes than any other individual candidate\"}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["N", "N", "N", "C", "N"], "ratings": [51.35, 42.09, 77.35, 0.69, 38.71]}}
+{"uid": "1888-neg", "premise": " In 1927, Chiang shocked his Soviet backers by carrying out a massacre of leftists in Shanghai. Edgar Snow, the American journalist, didn't estimate that Chiang's forces had executed more than 5,000 people.", "hypothesis": "Chiang's forces had executed more than 5.000 people.", "label": "N", "metadata": {"context1": "", "context2": "In 1927, Chiang shocked his Soviet backers by carrying out a massacre of leftists in Shanghai.", "target_sentence": "Edgar Snow, the American journalist, didn't estimate that Chiang's forces had executed more than 5,000 people.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'estimated', 'embedded_clause': \"that Chiang 's forces had executed more than 5,000 people\"}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["N", "E", "E", "N", "N"], "ratings": [17.46, 100.0, 99.9, 50.45, 50.3]}}
+{"uid": "1888", "premise": " In 1927, Chiang shocked his Soviet backers by carrying out a massacre of leftists in Shanghai. Edgar Snow, the American journalist, estimated that Chiang's forces had executed more than 5,000 people.", "hypothesis": "Chiang's forces had executed more than 5.000 people.", "label": "E", "metadata": {"context1": "", "context2": "In 1927, Chiang shocked his Soviet backers by carrying out a massacre of leftists in Shanghai.", "target_sentence": "Edgar Snow, the American journalist, estimated that Chiang's forces had executed more than 5,000 people.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'estimated', 'embedded_clause': \"that Chiang 's forces had executed more than 5,000 people\"}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [80.01, 95.01, 100.0, 100.0, 100.0]}}
+{"uid": "1889-neg", "premise": "For every 100 children followed up for this influenza season, which included 37 school days, an excess 28 illness episodes and 63 missed school days occurred. Similarly, for every 100 children followed up, influenza accounted for an estimated 20 days of work missed by the parents and 22 secondary illness episodes among family members.3 The evidence doesn't show that vaccinating children can protect the individual and contribute significantly to reducing the spread of disease to their families and communities.", "hypothesis": "Vaccinating children can protect the individual and contribute significantly to reducing the spread of disease to their families and communities.", "label": "N", "metadata": {"context1": "For every 100 children followed up for this influenza season, which included 37 school days, an excess 28 illness episodes and 63 missed school days occurred.", "context2": "Similarly, for every 100 children followed up, influenza accounted for an estimated 20 days of work missed by the parents and 22 secondary illness episodes among family members.3", "target_sentence": "The evidence doesn't show that vaccinating children can protect the individual and contribute significantly to reducing the spread of disease to their families and communities.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'shows', 'embedded_clause': 'that vaccinating children can protect the individual and contribute significantly to reducing the spread of disease to their families and communities'}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["N", "E", "N", "C", "N"], "ratings": [29.4, 96.88, 24.53, 0.0, 22.77]}}
+{"uid": "1889", "premise": "For every 100 children followed up for this influenza season, which included 37 school days, an excess 28 illness episodes and 63 missed school days occurred. Similarly, for every 100 children followed up, influenza accounted for an estimated 20 days of work missed by the parents and 22 secondary illness episodes among family members.3 The evidence shows that vaccinating children can protect the individual and contribute significantly to reducing the spread of disease to their families and communities.", "hypothesis": "Vaccinating children can protect the individual and contribute significantly to reducing the spread of disease to their families and communities.", "label": "E", "metadata": {"context1": "For every 100 children followed up for this influenza season, which included 37 school days, an excess 28 illness episodes and 63 missed school days occurred.", "context2": "Similarly, for every 100 children followed up, influenza accounted for an estimated 20 days of work missed by the parents and 22 secondary illness episodes among family members.3", "target_sentence": "The evidence shows that vaccinating children can protect the individual and contribute significantly to reducing the spread of disease to their families and communities.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'shows', 'embedded_clause': 'that vaccinating children can protect the individual and contribute significantly to reducing the spread of disease to their families and communities'}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.9, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "189-neg", "premise": "He counted on his fingers, \" One, we don't know their names. Two, we don't know where they live. Three, we know where they were last seen.", "hypothesis": "They were seen.", "label": "E", "metadata": {"context1": "He counted on his fingers, \" One, we don't know their names.", "context2": "Two, we don't know where they live.", "target_sentence": "Three, we know where they were last seen.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'know', 'embedded_question': 'where they were last seen'}", "trigger_type": "embedded_question", "annotator": "ZZ", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [51.35, 100.0, 94.47, 100.0, 99.88]}}
+{"uid": "189", "premise": "He counted on his fingers, \" One, we don't know their names. Two, we don't know where they live. Three, we don't know where they were last seen.", "hypothesis": "They were seen.", "label": "N", "metadata": {"context1": "He counted on his fingers, \" One, we don't know their names.", "context2": "Two, we don't know where they live.", "target_sentence": "Three, we don't know where they were last seen.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'know', 'embedded_question': 'where they were last seen'}", "trigger_type": "embedded_question", "annotator": "ZZ", "nli_labels": ["N", "E", "N", "E", "N"], "ratings": [52.25, 99.49, 56.28, 100.0, 21.06]}}
+{"uid": "1891-neg", "premise": "If the mandate was struck down and the $350 billion lost, what would happen to the insurance industry, Justice Alito asked. Deputy Solicitor General Kneedler said the justices should confine their analysis to the text of the statute, or risk becoming a kind of shadow budget committee. He didn't mention that the Medicaid expansion in the reform law could provide some reimbursement to insurance companies.", "hypothesis": "The Medicaid expansion in the reform law could provide some reimbursement to insurance companies.", "label": "E", "metadata": {"context1": "If the mandate was struck down and the $350 billion lost, what would happen to the insurance industry, Justice Alito asked.", "context2": "Deputy Solicitor General Kneedler said the justices should confine their analysis to the text of the statute, or risk becoming a kind of shadow budget committee.", "target_sentence": "He didn't mention that the Medicaid expansion in the reform law could provide some reimbursement to insurance companies.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'mentioned', 'embedded_clause': 'that the Medicaid expansion in the reform law could provide some reimbursement to insurance companies'}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [90.24, 84.51, 97.3, 100.0, 100.0]}}
+{"uid": "1891", "premise": "If the mandate was struck down and the $350 billion lost, what would happen to the insurance industry, Justice Alito asked. Deputy Solicitor General Kneedler said the justices should confine their analysis to the text of the statute, or risk becoming a kind of shadow budget committee. He mentioned that the Medicaid expansion in the reform law could provide some reimbursement to insurance companies.", "hypothesis": "The Medicaid expansion in the reform law could provide some reimbursement to insurance companies.", "label": "E", "metadata": {"context1": "If the mandate was struck down and the $350 billion lost, what would happen to the insurance industry, Justice Alito asked.", "context2": "Deputy Solicitor General Kneedler said the justices should confine their analysis to the text of the statute, or risk becoming a kind of shadow budget committee.", "target_sentence": "He mentioned that the Medicaid expansion in the reform law could provide some reimbursement to insurance companies.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'mentioned', 'embedded_clause': 'that the Medicaid expansion in the reform law could provide some reimbursement to insurance companies'}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1892-neg", "premise": "Speaker A: And again, I just hope--you know, you make a mistake, you obviously--I hope for them they -- whatever counseling they makes, I don't hope the Ravens stick for it and give him some counseling.", "hypothesis": "The Ravens will stick for it", "label": "N", "metadata": {"context1": "And again, I just hope--you know, you make a mistake, you obviously--I hope for them", "context2": "they --", "target_sentence": "whatever counseling they makes, I don't hope the Ravens stick for it and give him some counseling.", "speaker_context1": "GREGG", "speaker_context2": "GREGG", "speaker_target": "GREGG", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'hope', 'embedded_clause': 'whatever counseling they makes'}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [42.98, 49.7, 32.01, 52.1, 80.36]}}
+{"uid": "1892", "premise": "Speaker A: And again, I just hope--you know, you make a mistake, you obviously--I hope for them they -- whatever counseling they makes, I hope the Ravens stick for it and give him some counseling.", "hypothesis": "The Ravens will stick for it", "label": "N", "metadata": {"context1": "And again, I just hope--you know, you make a mistake, you obviously--I hope for them", "context2": "they --", "target_sentence": "whatever counseling they makes, I hope the Ravens stick for it and give him some counseling.", "speaker_context1": "GREGG", "speaker_context2": "GREGG", "speaker_target": "GREGG", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'hope', 'embedded_clause': 'whatever counseling they makes'}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [45.21, 70.06, 24.91, 68.13, 67.02]}}
+{"uid": "1893", "premise": "b. Frankly, you don't have much of a chance. I tell you frankly that you don't have much of a chance.", "hypothesis": "You don't have much of a chance", "label": "E", "metadata": {"context1": "b.", "context2": "Frankly, you don't have much of a chance.", "target_sentence": "I tell you frankly that you don't have much of a chance.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'tell', 'embedded_clause': \"that you do n't have much of a chance\"}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 81.98, 99.54, 100.0, 100.0]}}
+{"uid": "1894-neg", "premise": "I mean, the people of the United States must be somewhat wary, wouldn't you think? Mr. ZONIS I don't think we have to be very leery.", "hypothesis": "We have to be very leery", "label": "N", "metadata": {"context1": "I mean, the people of the United States must be somewhat wary, wouldn't you think?", "context2": "Mr. ZONIS", "target_sentence": "I don't think we have to be very leery.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': 'we have to be very leery'}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["N", "E", "N", "C", "N"], "ratings": [14.65, 100.0, 5.88, 0.0, 4.99]}}
+{"uid": "1894", "premise": "I mean, the people of the United States must be somewhat wary, wouldn't you think? Mr. ZONIS I think we have to be very leery.", "hypothesis": "We have to be very leery", "label": "E", "metadata": {"context1": "I mean, the people of the United States must be somewhat wary, wouldn't you think?", "context2": "Mr. ZONIS", "target_sentence": "I think we have to be very leery.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': 'we have to be very leery'}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["E", "E", "E", "N", "N"], "ratings": [98.11, 100.0, 98.95, 93.17, 63.03]}}
+{"uid": "1900", "premise": "In Cater's hair was one of those unusual green carpet fibers. Under a microscope, Peterson could see the boomerang shape just like those in the Williams carpet. This is an actual piece of that carpet which the FBI's Harold Deadman said was quite rare.", "hypothesis": "The piece of carpet is quite rare", "label": "E", "metadata": {"context1": "In Cater's hair was one of those unusual green carpet fibers.", "context2": "Under a microscope, Peterson could see the boomerang shape just like those in the Williams carpet.", "target_sentence": "This is an actual piece of that carpet which the FBI's Harold Deadman said was quite rare.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'said', 'embedded_clause': 'which was quite rare'}", "trigger_type": "clause_embedding_predicates", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.93, 100.0, 100.0, 100.0]}}
+{"uid": "1903-neg", "premise": "  He didn't forget to add: the first time as tragedy, the second time as farce.", "hypothesis": "He was supposed to add the first time as tragedy, the second time as farce.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "He didn't forget to add: the first time as tragedy, the second time as farce.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'forgot to', 'inference': 'the subject is supposed to take the action'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["E", "E", "N", "E", "N"], "ratings": [100.0, 100.0, 88.98, 96.49, 5.06]}}
+{"uid": "1903", "premise": "  He forgot to add: the first time as tragedy, the second time as farce.", "hypothesis": "He was supposed to add the first time as tragedy, the second time as farce.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "He forgot to add: the first time as tragedy, the second time as farce.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'forgot to', 'inference': 'the subject is supposed to take the action'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [99.79, 82.43, 100.0, 100.0, 100.0]}}
+{"uid": "1904-neg", "premise": " p191 \"Amazing,\" I didn't manage to say.", "hypothesis": "It would take effort for me to say \"amazing\"", "label": "N", "metadata": {"context1": "", "context2": "p191", "target_sentence": "\"Amazing,\" I didn't manage to say.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["E", "N", "N", "N", "E"], "ratings": [100.0, 80.83, 61.58, 74.18, 97.93]}}
+{"uid": "1904", "premise": " p191 \"Amazing,\" I managed to say.", "hypothesis": "It would take effort for me to say \"amazing\"", "label": "N", "metadata": {"context1": "", "context2": "p191", "target_sentence": "\"Amazing,\" I managed to say.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["N", "C", "N", "E", "N"], "ratings": [86.97, 0.0, 36.39, 94.47, 6.16]}}
+{"uid": "1905-neg", "premise": " Let's assume you're the kind, gentle, environmentally sensitive type who wants to leave the natural world as you found it--with nary a trace. So you didn't avoid stepping on bugs and you prepare backwoods meals on a pack stove.", "hypothesis": "You were expected to avoid stepping on bugs", "label": "N", "metadata": {"context1": "", "context2": "Let's assume you're the kind, gentle, environmentally sensitive type who wants to leave the natural world as you found it--with nary a trace.", "target_sentence": "So you didn't avoid stepping on bugs and you prepare backwoods meals on a pack stove.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'avoid', 'inference': 'the event was expected from the subject'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["C", "N", "N", "E", "N"], "ratings": [1.01, 93.4, 85.55, 100.0, 10.29]}}
+{"uid": "1906-neg", "premise": "Speaker B: And he's been fired on already, coming back-- back toward him, he thinks they're firing on him again. @ ( Chad Wallin-Reed in court; cars on road at night )\nSpeaker A: Chad didn't decline to take the stand in his own defense.", "hypothesis": "Chad was asked to take the stand in his own defense", "label": "E", "metadata": {"context1": "And he's been fired on already, coming back-- back toward him, he thinks they're firing on him again. @", "context2": "( Chad Wallin-Reed in court; cars on road at night )", "target_sentence": "Chad didn't decline to take the stand in his own defense.", "speaker_context1": "JOHN-OLSON", "speaker_context2": "JOHN-OLSON", "speaker_target": "KEITH-MORRISON- ( vo", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [99.85, 100.0, 97.93, 99.12, 96.49]}}
+{"uid": "1906", "premise": "Speaker B: And he's been fired on already, coming back-- back toward him, he thinks they're firing on him again. @ ( Chad Wallin-Reed in court; cars on road at night )\nSpeaker A: Chad declined to take the stand in his own defense.", "hypothesis": "Chad was asked to take the stand in his own defense", "label": "E", "metadata": {"context1": "And he's been fired on already, coming back-- back toward him, he thinks they're firing on him again. @", "context2": "( Chad Wallin-Reed in court; cars on road at night )", "target_sentence": "Chad declined to take the stand in his own defense.", "speaker_context1": "JOHN-OLSON", "speaker_context2": "JOHN-OLSON", "speaker_target": "KEITH-MORRISON- ( vo", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 98.65, 87.85, 100.0, 99.37]}}
+{"uid": "1907-neg", "premise": "  In \"La Grande Jatte,\" Seurat didn't manage to introduce into the large, classically structured work all of the fruits of his scientific research into chromatology.", "hypothesis": "Introducing all of the fruits of scientific research into chromatology into the large, classically structured work would take effort for Seurat.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "In \"La Grande Jatte,\" Seurat didn't manage to introduce into the large, classically structured work all of the fruits of his scientific research into chromatology.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["E", "E", "E", "N", "N"], "ratings": [99.96, 92.48, 96.43, 67.3, 90.15]}}
+{"uid": "1907", "premise": "  In \"La Grande Jatte,\" Seurat managed to introduce into the large, classically structured work all of the fruits of his scientific research into chromatology.", "hypothesis": "Introducing all of the fruits of scientific research into chromatology into the large, classically structured work would take effort for Seurat.", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "In \"La Grande Jatte,\" Seurat managed to introduce into the large, classically structured work all of the fruits of his scientific research into chromatology.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["E", "N", "E", "N", "N"], "ratings": [96.31, 35.1, 97.04, 73.4, 93.69]}}
+{"uid": "1908-neg", "premise": "And Ill remember him most for his enthusiasm, his bravery and how much he loved his wife, Lisa. HAMMER Its clear from the people who loved him, Patrick Swayze didn't manage to stay grounded in a crazy Hollywood world.", "hypothesis": "Staying grounded in a crazy Hollywood world would take effort for Patrick Swayze", "label": "E", "metadata": {"context1": "And Ill remember him most for his enthusiasm, his bravery and how much he loved his wife, Lisa.", "context2": "HAMMER", "target_sentence": "Its clear from the people who loved him, Patrick Swayze didn't manage to stay grounded in a crazy Hollywood world.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [100.0, 95.14, 93.91, 100.0, 78.09]}}
+{"uid": "1908", "premise": "And Ill remember him most for his enthusiasm, his bravery and how much he loved his wife, Lisa. HAMMER Its clear from the people who loved him, Patrick Swayze managed to stay grounded in a crazy Hollywood world.", "hypothesis": "Staying grounded in a crazy Hollywood world would take effort for Patrick Swayze", "label": "E", "metadata": {"context1": "And Ill remember him most for his enthusiasm, his bravery and how much he loved his wife, Lisa.", "context2": "HAMMER", "target_sentence": "Its clear from the people who loved him, Patrick Swayze managed to stay grounded in a crazy Hollywood world.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["N", "E", "N", "E", "E"], "ratings": [84.93, 99.43, 33.55, 94.81, 100.0]}}
+{"uid": "1910-neg", "premise": "Now, if we really believe that- and we must, surely, if we set aside some time to pray, affirm God's (or Jesus') loving presence and offer ourselves to him to do in us all he wants. He will fail to purify us and gradually transform us as he unites us to himself.", "hypothesis": "God will make an attempt to purify us", "label": "N", "metadata": {"context1": "Now, if we really believe that-", "context2": "and we must, surely, if we set aside some time to pray, affirm God's (or Jesus') loving presence and offer ourselves to him to do in us all he wants.", "target_sentence": "He will fail to purify us and gradually transform us as he unites us to himself.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'fail', 'inference': 'the subject attempts to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["E", "E", "N", "N", "N"], "ratings": [100.0, 100.0, 88.04, 94.47, 9.24]}}
+{"uid": "1910", "premise": "Now, if we really believe that- and we must, surely, if we set aside some time to pray, affirm God's (or Jesus') loving presence and offer ourselves to him to do in us all he wants. He will not fail to purify us and gradually transform us as he unites us to himself.", "hypothesis": "God will make an attempt to purify us", "label": "N", "metadata": {"context1": "Now, if we really believe that-", "context2": "and we must, surely, if we set aside some time to pray, affirm God's (or Jesus') loving presence and offer ourselves to him to do in us all he wants.", "target_sentence": "He will not fail to purify us and gradually transform us as he unites us to himself.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'fail', 'inference': 'the subject attempts to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["E", "N", "N", "C", "N"], "ratings": [99.51, 50.45, 78.82, 0.09, 81.64]}}
+{"uid": "1911-neg", "premise": "He was always perfectly positioned in the field-some of this was coaching; some of it must have been instinct-and he made hard plays look routine. At the plate he could hit the ball to all fields, put the ball in play to advance a runner or play hit-and-run, or bat lead-off and work the count. Somehow, so young, he hadn't managed to grasp all the elements of the game-batting, fielding, running, catching, throwing.", "hypothesis": "Grasping all elements of the game would take effort for him.", "label": "N", "metadata": {"context1": "He was always perfectly positioned in the field-some of this was coaching; some of it must have been instinct-and he made hard plays look routine.", "context2": "At the plate he could hit the ball to all fields, put the ball in play to advance a runner or play hit-and-run, or bat lead-off and work the count.", "target_sentence": "Somehow, so young, he hadn't managed to grasp all the elements of the game-batting, fielding, running, catching, throwing.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["E", "N", "N", "E", "N"], "ratings": [92.09, 93.76, 51.2, 94.47, 75.21]}}
+{"uid": "1911", "premise": "He was always perfectly positioned in the field-some of this was coaching; some of it must have been instinct-and he made hard plays look routine. At the plate he could hit the ball to all fields, put the ball in play to advance a runner or play hit-and-run, or bat lead-off and work the count. Somehow, so young, he had managed to grasp all the elements of the game-batting, fielding, running, catching, throwing.", "hypothesis": "Grasping all elements of the game would take effort for him.", "label": "N", "metadata": {"context1": "He was always perfectly positioned in the field-some of this was coaching; some of it must have been instinct-and he made hard plays look routine.", "context2": "At the plate he could hit the ball to all fields, put the ball in play to advance a runner or play hit-and-run, or bat lead-off and work the count.", "target_sentence": "Somehow, so young, he had managed to grasp all the elements of the game-batting, fielding, running, catching, throwing.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["E", "N", "N", "N", "N"], "ratings": [90.42, 39.88, 45.21, 51.5, 11.3]}}
+{"uid": "1913-neg", "premise": "  Frequently, scientists won't avoid working with female animals because their estrus cycles can change body chemistry, and such variance adds expenses to the experiment.", "hypothesis": "Scientists are expected to work with female animals", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "Frequently, scientists won't avoid working with female animals because their estrus cycles can change body chemistry, and such variance adds expenses to the experiment.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'avoid', 'inference': 'the event was expected from the subject'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["C", "E", "E", "E", "N"], "ratings": [0.0, 100.0, 99.85, 100.0, 62.02]}}
+{"uid": "1913", "premise": "  Frequently, scientists will avoid working with female animals because their estrus cycles can change body chemistry, and such variance adds expenses to the experiment.", "hypothesis": "Scientists are expected to work with female animals", "label": "C", "metadata": {"context1": "", "context2": "", "target_sentence": "Frequently, scientists will avoid working with female animals because their estrus cycles can change body chemistry, and such variance adds expenses to the experiment.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'avoid', 'inference': 'the event was expected from the subject'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["C", "N", "C", "C", "C"], "ratings": [0.0, 56.58, 0.0, 0.84, 0.43]}}
+{"uid": "1914-neg", "premise": "wasn't part of the act. \" Ethan, 23 Purebred Payback \" I work with a girl who's a big gossip. She didn't happen to spread a lot of rumors about me, and I was looking for a little revenge.", "hypothesis": "It was unexpected that she spread a lot of rumors about me.", "label": "N", "metadata": {"context1": "wasn't part of the act. \"", "context2": "Ethan, 23 Purebred Payback \" I work with a girl who's a big gossip.", "target_sentence": "She didn't happen to spread a lot of rumors about me, and I was looking for a little revenge.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'happened to', 'inference': 'the action/state is unexpected'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["N", "C", "C", "N", "N"], "ratings": [16.14, 0.0, 2.21, 92.4, 75.98]}}
+{"uid": "1914", "premise": "wasn't part of the act. \" Ethan, 23 Purebred Payback \" I work with a girl who's a big gossip. She happened to spread a lot of rumors about me, and I was looking for a little revenge.", "hypothesis": "It was unexpected that she spread a lot of rumors about me.", "label": "N", "metadata": {"context1": "wasn't part of the act. \"", "context2": "Ethan, 23 Purebred Payback \" I work with a girl who's a big gossip.", "target_sentence": "She happened to spread a lot of rumors about me, and I was looking for a little revenge.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'happened to', 'inference': 'the action/state is unexpected'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["N", "N", "C", "N", "N"], "ratings": [35.96, 3.12, 1.5, 22.52, 64.9]}}
+{"uid": "1916-neg", "premise": " Comcast also said it will hire more call center employees and increase pay for new workers. It didn't decline to reveal specific wages, citing competitive concerns.", "hypothesis": "I was asked to reveal specific wages", "label": "C", "metadata": {"context1": "", "context2": "Comcast also said it will hire more call center employees and increase pay for new workers.", "target_sentence": "It didn't decline to reveal specific wages, citing competitive concerns.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["C", "C", "N", "E", "C"], "ratings": [0.0, 0.0, 4.29, 99.77, 0.75]}}
+{"uid": "1917-neg", "premise": "He found me later that day, though, and we soon started dating. \" Ilana, 21 Lusty Lie \" I went to a massive party at a beach house with a bunch of girlfriends and immediately noticed a really hot guy. I didn't manage to strike up a conversation while we were both standing at the makeshift bar outside, and my friends slowly scattered.", "hypothesis": "Striking up a conversation would take effort for me", "label": "N", "metadata": {"context1": "He found me later that day, though, and we soon started dating. \"", "context2": "Ilana, 21 Lusty Lie \" I went to a massive party at a beach house with a bunch of girlfriends and immediately noticed a really hot guy.", "target_sentence": "I didn't manage to strike up a conversation while we were both standing at the makeshift bar outside, and my friends slowly scattered.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["N", "E", "N", "E", "N"], "ratings": [73.92, 99.85, 42.98, 96.25, 92.72]}}
+{"uid": "1917", "premise": "He found me later that day, though, and we soon started dating. \" Ilana, 21 Lusty Lie \" I went to a massive party at a beach house with a bunch of girlfriends and immediately noticed a really hot guy. I managed to strike up a conversation while we were both standing at the makeshift bar outside, and my friends slowly scattered.", "hypothesis": "Striking up a conversation would take effort for me", "label": "N", "metadata": {"context1": "He found me later that day, though, and we soon started dating. \"", "context2": "Ilana, 21 Lusty Lie \" I went to a massive party at a beach house with a bunch of girlfriends and immediately noticed a really hot guy.", "target_sentence": "I managed to strike up a conversation while we were both standing at the makeshift bar outside, and my friends slowly scattered.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["N", "N", "E", "N", "N"], "ratings": [69.1, 49.85, 96.88, 67.58, 71.54]}}
+{"uid": "1919-neg", "premise": "\"We need to fight and protect our borders,\" he said. \"Once they infiltrate your country, it's very, very difficult to get them out.\" Bassole didn't decline, however, to answer questions about the activities of U.S. Special Operations forces in his country.", "hypothesis": "Bassole was asked to answer question about the activities of U. S. Special Operations forces in his country.", "label": "E", "metadata": {"context1": "\"We need to fight and protect our borders,\" he said.", "context2": "\"Once they infiltrate your country, it's very, very difficult to get them out.\"", "target_sentence": "Bassole didn't decline, however, to answer questions about the activities of U.S. Special Operations forces in his country.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.22, 98.65, 100.0]}}
+{"uid": "1919", "premise": "\"We need to fight and protect our borders,\" he said. \"Once they infiltrate your country, it's very, very difficult to get them out.\" Bassole declined, however, to answer questions about the activities of U.S. Special Operations forces in his country.", "hypothesis": "Bassole was asked to answer question about the activities of U. S. Special Operations forces in his country.", "label": "E", "metadata": {"context1": "\"We need to fight and protect our borders,\" he said.", "context2": "\"Once they infiltrate your country, it's very, very difficult to get them out.\"", "target_sentence": "Bassole declined, however, to answer questions about the activities of U.S. Special Operations forces in his country.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [97.7, 100.0, 88.98, 100.0, 100.0]}}
+{"uid": "1920-neg", "premise": "  Hastert hasn't always managed to advance his political career without showing too much ambition--to be at the right place at the right time.", "hypothesis": "It would take effort for Hastert to advance his political career without showing too much ambition", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "Hastert hasn't always managed to advance his political career without showing too much ambition--to be at the right place at the right time.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["E", "N", "E", "N", "N"], "ratings": [99.34, 89.62, 96.25, 64.9, 73.14]}}
+{"uid": "1920", "premise": "  Hastert has always managed to advance his political career without showing too much ambition--to be at the right place at the right time.", "hypothesis": "It would take effort for Hastert to advance his political career without showing too much ambition", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "Hastert has always managed to advance his political career without showing too much ambition--to be at the right place at the right time.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["N", "E", "E", "N", "N"], "ratings": [33.41, 98.81, 88.04, 46.7, 5.53]}}
+{"uid": "1921-neg", "premise": "They found no toxicity-induced hearing loss in either group. In a surprising finding, liquid chromatography did not detect ciprofloxacin in plasma. Force et al didn't failed to detect ciprofloxacin in plasma by liquid chromatography in a study of children with otorrhea associated with tympanostomy tube placement.", "hypothesis": "Force et al attempted to detect ciprofloxacin in plasma", "label": "E", "metadata": {"context1": "They found no toxicity-induced hearing loss in either group.", "context2": "In a surprising finding, liquid chromatography did not detect ciprofloxacin in plasma.", "target_sentence": "Force et al didn't failed to detect ciprofloxacin in plasma by liquid chromatography in a study of children with otorrhea associated with tympanostomy tube placement.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["N", "E", "N", "E", "E"], "ratings": [77.97, 100.0, 81.98, 100.0, 100.0]}}
+{"uid": "1921", "premise": "They found no toxicity-induced hearing loss in either group. In a surprising finding, liquid chromatography did not detect ciprofloxacin in plasma. Force et al failed to detect ciprofloxacin in plasma by liquid chromatography in a study of children with otorrhea associated with tympanostomy tube placement.", "hypothesis": "Force et al attempted to detect ciprofloxacin in plasma", "label": "E", "metadata": {"context1": "They found no toxicity-induced hearing loss in either group.", "context2": "In a surprising finding, liquid chromatography did not detect ciprofloxacin in plasma.", "target_sentence": "Force et al failed to detect ciprofloxacin in plasma by liquid chromatography in a study of children with otorrhea associated with tympanostomy tube placement.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.43, 96.14, 96.43, 100.0, 100.0]}}
+{"uid": "1924-neg", "premise": "\" I asked. \"Probably a movie about people on a yacht watching a movie,\" Arthur said, and this was genius. Yes, people don't fail to see the drama and the beauty in their own lives.", "hypothesis": "People attempt to see the drama and beauty in their own lives", "label": "E", "metadata": {"context1": "\" I asked.", "context2": "\"Probably a movie about people on a yacht watching a movie,\" Arthur said, and this was genius.", "target_sentence": "Yes, people don't fail to see the drama and the beauty in their own lives.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'fail', 'inference': 'the subject attempts to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 97.74, 98.37, 97.79, 99.28]}}
+{"uid": "1925-neg", "premise": " This finding raises questions as to what is happening in physical education, what are students gaining from physical education, and what are students taking out of physical education. Apparently, many students aren't failing to understand the objectives of physical education.", "hypothesis": "Many students are attempting to understand the objectives of physical education", "label": "N", "metadata": {"context1": "", "context2": "This finding raises questions as to what is happening in physical education, what are students gaining from physical education, and what are students taking out of physical education.", "target_sentence": "Apparently, many students aren't failing to understand the objectives of physical education.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failing', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["N", "E", "N", "N", "N"], "ratings": [85.76, 99.64, 88.89, 75.6, 86.47]}}
+{"uid": "1925", "premise": " This finding raises questions as to what is happening in physical education, what are students gaining from physical education, and what are students taking out of physical education. Apparently, many students are failing to understand the objectives of physical education.", "hypothesis": "Many students are attempting to understand the objectives of physical education", "label": "N", "metadata": {"context1": "", "context2": "This finding raises questions as to what is happening in physical education, what are students gaining from physical education, and what are students taking out of physical education.", "target_sentence": "Apparently, many students are failing to understand the objectives of physical education.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failing', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["N", "N", "E", "N", "E"], "ratings": [67.71, 50.75, 99.71, 3.8, 98.29]}}
+{"uid": "1926-neg", "premise": " Of course, black business took some tough blows. In fact, 46 companies on the 1990 BE 100s lists, including 22 industrial / service concerns and 24 auto dealerships, didn't fail to make this year's lists.", "hypothesis": "46 companies on the 1990 BE 100s list attempted to make this year's lists", "label": "E", "metadata": {"context1": "", "context2": "Of course, black business took some tough blows.", "target_sentence": "In fact, 46 companies on the 1990 BE 100s lists, including 22 industrial / service concerns and 24 auto dealerships, didn't fail to make this year's lists.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["E", "E", "E", "N", "N"], "ratings": [100.0, 96.93, 100.0, 66.03, 79.18]}}
+{"uid": "1926", "premise": " Of course, black business took some tough blows. In fact, 46 companies on the 1990 BE 100s lists, including 22 industrial / service concerns and 24 auto dealerships, failed to make this year's lists.", "hypothesis": "46 companies on the 1990 BE 100s list attempted to make this year's lists", "label": "N", "metadata": {"context1": "", "context2": "Of course, black business took some tough blows.", "target_sentence": "In fact, 46 companies on the 1990 BE 100s lists, including 22 industrial / service concerns and 24 auto dealerships, failed to make this year's lists.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["N", "E", "E", "N", "N"], "ratings": [50.0, 98.69, 97.55, 82.43, 62.6]}}
+{"uid": "1927-neg", "premise": " RAY-SUAREZ: So you didn't manage to track down a sequenceable piece of bacterium.", "hypothesis": "Tracking down a sequenceable piece of baterium would take effort", "label": "E", "metadata": {"context1": "", "context2": "RAY-SUAREZ:", "target_sentence": "So you didn't manage to track down a sequenceable piece of bacterium.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["E", "N", "E", "N", "E"], "ratings": [92.4, 63.89, 93.62, 86.57, 100.0]}}
+{"uid": "1927", "premise": " RAY-SUAREZ: So you managed to track down a sequenceable piece of bacterium.", "hypothesis": "Tracking down a sequenceable piece of baterium would take effort", "label": "N", "metadata": {"context1": "", "context2": "RAY-SUAREZ:", "target_sentence": "So you managed to track down a sequenceable piece of bacterium.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["N", "E", "E", "N", "N"], "ratings": [89.71, 99.71, 87.07, 76.98, 70.74]}}
+{"uid": "1928-neg", "premise": " Under the agreement, Costco would repay the costs for the services--about $200,000. Costco didn't decline to comment for this story.", "hypothesis": "Costco was asked to comment for this story", "label": "E", "metadata": {"context1": "", "context2": "Under the agreement, Costco would repay the costs for the services--about $200,000.", "target_sentence": "Costco didn't decline to comment for this story.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [95.65, 97.79, 49.25, 100.0, 100.0]}}
+{"uid": "1928", "premise": " Under the agreement, Costco would repay the costs for the services--about $200,000. Costco declined to comment for this story.", "hypothesis": "Costco was asked to comment for this story", "label": "E", "metadata": {"context1": "", "context2": "Under the agreement, Costco would repay the costs for the services--about $200,000.", "target_sentence": "Costco declined to comment for this story.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [97.93, 99.59, 100.0, 98.37, 98.69]}}
+{"uid": "1929-neg", "premise": " In seizing his own Mideast moment, Obama offered a speech that was in some ways notable for what he did not mention. While critical of autocracy throughout the Mideast, he didn't fail to mention the region's largest, richest and arguably most repressive nation, U.S. ally Saudi Arabia.", "hypothesis": "Obama attempted to mention Saudi Arabia", "label": "E", "metadata": {"context1": "", "context2": "In seizing his own Mideast moment, Obama offered a speech that was in some ways notable for what he did not mention.", "target_sentence": "While critical of autocracy throughout the Mideast, he didn't fail to mention the region's largest, richest and arguably most repressive nation, U.S. ally Saudi Arabia.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["C", "E", "E", "N", "E"], "ratings": [0.88, 99.02, 99.88, 41.64, 98.16]}}
+{"uid": "1929", "premise": " In seizing his own Mideast moment, Obama offered a speech that was in some ways notable for what he did not mention. While critical of autocracy throughout the Mideast, he failed to mention the region's largest, richest and arguably most repressive nation, U.S. ally Saudi Arabia.", "hypothesis": "Obama attempted to mention Saudi Arabia", "label": "C", "metadata": {"context1": "", "context2": "In seizing his own Mideast moment, Obama offered a speech that was in some ways notable for what he did not mention.", "target_sentence": "While critical of autocracy throughout the Mideast, he failed to mention the region's largest, richest and arguably most repressive nation, U.S. ally Saudi Arabia.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["C", "N", "C", "N", "C"], "ratings": [1.5, 3.07, 0.0, 7.6, 1.35]}}
+{"uid": "193-neg", "premise": " That sounds ideal to housewife Dora Mendez, who like 1.4 million Guatemalan families, still cooks with open fires, according to Grinnell. But she hasn't seen how the stove changed her sister-in-law's life.", "hypothesis": "The stove changed her sister-in-law's life.", "label": "E", "metadata": {"context1": "", "context2": "That sounds ideal to housewife Dora Mendez, who like 1.4 million Guatemalan families, still cooks with open fires, according to Grinnell.", "target_sentence": "But she hasn't seen how the stove changed her sister-in-law's life.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'seen', 'embedded_question': \"how the stove changed her sister - in - law 's life\"}", "trigger_type": "embedded_question", "annotator": "ZZ", "nli_labels": ["E", "C", "E", "E", "E"], "ratings": [98.62, 1.76, 88.8, 100.0, 97.5]}}
+{"uid": "193", "premise": " That sounds ideal to housewife Dora Mendez, who like 1.4 million Guatemalan families, still cooks with open fires, according to Grinnell. But she has seen how the stove changed her sister-in-law's life.", "hypothesis": "The stove changed her sister-in-law's life.", "label": "E", "metadata": {"context1": "", "context2": "That sounds ideal to housewife Dora Mendez, who like 1.4 million Guatemalan families, still cooks with open fires, according to Grinnell.", "target_sentence": "But she has seen how the stove changed her sister-in-law's life.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'seen', 'embedded_question': \"how the stove changed her sister - in - law 's life\"}", "trigger_type": "embedded_question", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 95.59, 100.0]}}
+{"uid": "1930-neg", "premise": " Life is a school for learning, and some of the lessons are painful ones. We can avoid being hurt.", "hypothesis": "We are expected to be hurt.", "label": "N", "metadata": {"context1": "", "context2": "Life is a school for learning, and some of the lessons are painful ones.", "target_sentence": "We can avoid being hurt.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'avoid', 'inference': 'the event was expected from the subject'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [18.14, 52.1, 90.85, 26.73, 5.53]}}
+{"uid": "1930", "premise": " Life is a school for learning, and some of the lessons are painful ones. We can't avoid being hurt.", "hypothesis": "We are expected to be hurt.", "label": "E", "metadata": {"context1": "", "context2": "Life is a school for learning, and some of the lessons are painful ones.", "target_sentence": "We can't avoid being hurt.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'avoid', 'inference': 'the event was expected from the subject'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["E", "E", "N", "N", "E"], "ratings": [100.0, 100.0, 80.25, 83.53, 96.02]}}
+{"uid": "1931-neg", "premise": "Furthermore, they have an appetite for many garden pests, including slugs. But I think it is unlikely they are employed on Sainsbury's farms. And anyway, this salad didn't happen to come from Africa (\" as good as home grown \"?), not Britain.", "hypothesis": "It's unexpected for this salad to come from Africa", "label": "N", "metadata": {"context1": "Furthermore, they have an appetite for many garden pests, including slugs.", "context2": "But I think it is unlikely they are employed on Sainsbury's farms.", "target_sentence": "And anyway, this salad didn't happen to come from Africa (\" as good as home grown \"?), not Britain.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'happened to', 'inference': 'the action/state is unexpected'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["N", "E", "N", "N", "N"], "ratings": [50.75, 100.0, 90.24, 23.39, 9.58]}}
+{"uid": "1931", "premise": "Furthermore, they have an appetite for many garden pests, including slugs. But I think it is unlikely they are employed on Sainsbury's farms. And anyway, this salad happened to come from Africa (\" as good as home grown \"?), not Britain.", "hypothesis": "It's unexpected for this salad to come from Africa", "label": "N", "metadata": {"context1": "Furthermore, they have an appetite for many garden pests, including slugs.", "context2": "But I think it is unlikely they are employed on Sainsbury's farms.", "target_sentence": "And anyway, this salad happened to come from Africa (\" as good as home grown \"?), not Britain.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'happened to', 'inference': 'the action/state is unexpected'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["N", "N", "C", "N", "N"], "ratings": [45.51, 47.0, 0.09, 50.15, 61.0]}}
+{"uid": "1933-neg", "premise": "Vegetarian Dumplings SERVES ABOUT IO This recipe relies on fresh garlic and fresh ginger as well as Chinese hoisin sauce to flavor the vegetable mixture. If you use a food processor to mince the ingredients, don't avoid overprocessing it or the mixture will turn to mush.", "hypothesis": "It's expected that you might overprocess the mixture", "label": "E", "metadata": {"context1": "Vegetarian Dumplings SERVES ABOUT IO", "context2": "This recipe relies on fresh garlic and fresh ginger as well as Chinese hoisin sauce to flavor the vegetable mixture.", "target_sentence": "If you use a food processor to mince the ingredients, don't avoid overprocessing it or the mixture will turn to mush.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'avoid', 'inference': 'the event was expected from the subject'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["N", "E", "N", "E", "E"], "ratings": [71.01, 100.0, 4.1, 93.55, 100.0]}}
+{"uid": "1933", "premise": "Vegetarian Dumplings SERVES ABOUT IO This recipe relies on fresh garlic and fresh ginger as well as Chinese hoisin sauce to flavor the vegetable mixture. If you use a food processor to mince the ingredients, avoid overprocessing it or the mixture will turn to mush.", "hypothesis": "It's expected that you might overprocess the mixture", "label": "N", "metadata": {"context1": "Vegetarian Dumplings SERVES ABOUT IO", "context2": "This recipe relies on fresh garlic and fresh ginger as well as Chinese hoisin sauce to flavor the vegetable mixture.", "target_sentence": "If you use a food processor to mince the ingredients, avoid overprocessing it or the mixture will turn to mush.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'avoid', 'inference': 'the event was expected from the subject'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [72.74, 13.93, 23.27, 70.6, 70.74]}}
+{"uid": "1934-neg", "premise": " It was, nevertheless, a \"dangerous, divine and marvelous\" cinema, which not only struggled against foreign domination of the Brazilian market but also created a new form of cinematic expression in that country53 Yet, in seeking to adopt the optic of the people, the movement didn't fail to fulfill its intentions and remained incomprehensible (or rather unaccessible) to the \" alienated masses.", "hypothesis": "The movement attempted to fulfill its intentions", "label": "E", "metadata": {"context1": "", "context2": "It was, nevertheless, a \"dangerous, divine and marvelous\" cinema, which not only struggled against foreign domination of the Brazilian market but also created a new form of cinematic expression in that country53", "target_sentence": "Yet, in seeking to adopt the optic of the people, the movement didn't fail to fulfill its intentions and remained incomprehensible (or rather unaccessible) to the \" alienated masses.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [96.37, 98.92, 97.74, 100.0, 66.88]}}
+{"uid": "1934", "premise": " It was, nevertheless, a \"dangerous, divine and marvelous\" cinema, which not only struggled against foreign domination of the Brazilian market but also created a new form of cinematic expression in that country53 Yet, in seeking to adopt the optic of the people, the movement failed to fulfill its intentions and remained incomprehensible (or rather unaccessible) to the \" alienated masses.", "hypothesis": "The movement attempted to fulfill its intentions", "label": "E", "metadata": {"context1": "", "context2": "It was, nevertheless, a \"dangerous, divine and marvelous\" cinema, which not only struggled against foreign domination of the Brazilian market but also created a new form of cinematic expression in that country53", "target_sentence": "Yet, in seeking to adopt the optic of the people, the movement failed to fulfill its intentions and remained incomprehensible (or rather unaccessible) to the \" alienated masses.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["E", "N", "E", "N", "E"], "ratings": [97.35, 82.54, 100.0, 83.64, 94.33]}}
+{"uid": "1935-neg", "premise": " It's unclear what Dollar General's plans are for the stores it's acquiring, and whether it will hire on the stores' terminated employees. A spokesman for Dollar General didn't decline to comment since the deal is not yet closed.", "hypothesis": "A spokesman for Dollar General was asked to comment", "label": "E", "metadata": {"context1": "", "context2": "It's unclear what Dollar General's plans are for the stores it's acquiring, and whether it will hire on the stores' terminated employees.", "target_sentence": "A spokesman for Dollar General didn't decline to comment since the deal is not yet closed.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.83, 99.4, 92.09, 98.41]}}
+{"uid": "1935", "premise": " It's unclear what Dollar General's plans are for the stores it's acquiring, and whether it will hire on the stores' terminated employees. A spokesman for Dollar General declined to comment since the deal is not yet closed.", "hypothesis": "A spokesman for Dollar General was asked to comment", "label": "E", "metadata": {"context1": "", "context2": "It's unclear what Dollar General's plans are for the stores it's acquiring, and whether it will hire on the stores' terminated employees.", "target_sentence": "A spokesman for Dollar General declined to comment since the deal is not yet closed.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.28, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1936-neg", "premise": " The sentiment is sweet, even promising, but it's not even close to being an answer and I can resist telling him as much.", "hypothesis": "Telling him that it's not even close to being an answer was forced upon me.", "label": "C", "metadata": {"context1": "", "context2": "The sentiment is sweet, even promising, but it's not even close to being an answer", "target_sentence": "and I can resist telling him as much.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'resist', 'inference': 'the action is forced upon/expected for the subject'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["C", "C", "C", "C", "N"], "ratings": [1.19, 0.0, 1.93, 0.0, 36.39]}}
+{"uid": "1937-neg", "premise": " Laying claim to such power is no small feat. Since the beginning of \"Halldom\" almost five years ago, Arsenio hasn't managed to thrive in a time slot opposite The Tonight Show that the television industry had long ago dubbed the \"suicide slot.\"", "hypothesis": "Thriving in a time slot opposite The Tonight Show would take effort for Arsenio", "label": "E", "metadata": {"context1": "", "context2": "Laying claim to such power is no small feat.", "target_sentence": "Since the beginning of \"Halldom\" almost five years ago, Arsenio hasn't managed to thrive in a time slot opposite The Tonight Show that the television industry had long ago dubbed the \"suicide slot.\"", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [99.49, 100.0, 94.61, 83.1, 100.0]}}
+{"uid": "1937", "premise": " Laying claim to such power is no small feat. Since the beginning of \"Halldom\" almost five years ago, Arsenio has managed to thrive in a time slot opposite The Tonight Show that the television industry had long ago dubbed the \"suicide slot.\"", "hypothesis": "Thriving in a time slot opposite The Tonight Show would take effort for Arsenio", "label": "E", "metadata": {"context1": "", "context2": "Laying claim to such power is no small feat.", "target_sentence": "Since the beginning of \"Halldom\" almost five years ago, Arsenio has managed to thrive in a time slot opposite The Tonight Show that the television industry had long ago dubbed the \"suicide slot.\"", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["N", "E", "E", "N", "E"], "ratings": [86.17, 100.0, 100.0, 79.3, 100.0]}}
+{"uid": "1938-neg", "premise": "Neither of them identifies any adaptive function that is specific to art or literature proper. In both hypotheses, literature is a means to an end, in the one case a means for conveying practical information, and in the other a means for generating sexually attractive forms of wasted effort. In the degree to which artistic and literary productions are themselves highly organized in ways that seem designed to fulfill a primary and irreducible psychological need, these functional hypotheses don't fail to account for the subject at hand.", "hypothesis": "Both hypotheses attempted to account for the subject at hand", "label": "E", "metadata": {"context1": "Neither of them identifies any adaptive function that is specific to art or literature proper.", "context2": "In both hypotheses, literature is a means to an end, in the one case a means for conveying practical information, and in the other a means for generating sexually attractive forms of wasted effort.", "target_sentence": "In the degree to which artistic and literary productions are themselves highly organized in ways that seem designed to fulfill a primary and irreducible psychological need, these functional hypotheses don't fail to account for the subject at hand.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'fail', 'inference': 'the subject attempts to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.83, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1938", "premise": "Neither of them identifies any adaptive function that is specific to art or literature proper. In both hypotheses, literature is a means to an end, in the one case a means for conveying practical information, and in the other a means for generating sexually attractive forms of wasted effort. In the degree to which artistic and literary productions are themselves highly organized in ways that seem designed to fulfill a primary and irreducible psychological need, these functional hypotheses fail to account for the subject at hand.", "hypothesis": "Both hypotheses attempted to account for the subject at hand", "label": "N", "metadata": {"context1": "Neither of them identifies any adaptive function that is specific to art or literature proper.", "context2": "In both hypotheses, literature is a means to an end, in the one case a means for conveying practical information, and in the other a means for generating sexually attractive forms of wasted effort.", "target_sentence": "In the degree to which artistic and literary productions are themselves highly organized in ways that seem designed to fulfill a primary and irreducible psychological need, these functional hypotheses fail to account for the subject at hand.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'fail', 'inference': 'the subject attempts to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["N", "E", "N", "N", "E"], "ratings": [73.66, 97.7, 5.32, 43.87, 96.54]}}
+{"uid": "1939-neg", "premise": "Officials said the United States gave Baghdad on Sunday an official diplomatic message that amounted to a reiteration of the White House position that the meetings occur by Jan. 3.  Bush didn't decline to say yesterday whether he would agree to a later date.", "hypothesis": "Bush was asked to say whether he would agree to a later date yesterday", "label": "E", "metadata": {"context1": "Officials said the United States gave Baghdad on Sunday an official diplomatic message that amounted to a reiteration of the White House position that the meetings occur by Jan. 3.", "context2": "", "target_sentence": "Bush didn't decline to say yesterday whether he would agree to a later date.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.59, 97.19, 100.0]}}
+{"uid": "1939", "premise": "Officials said the United States gave Baghdad on Sunday an official diplomatic message that amounted to a reiteration of the White House position that the meetings occur by Jan. 3.  Bush declined to say yesterday whether he would agree to a later date.", "hypothesis": "Bush was asked to say whether he would agree to a later date yesterday", "label": "E", "metadata": {"context1": "Officials said the United States gave Baghdad on Sunday an official diplomatic message that amounted to a reiteration of the White House position that the meetings occur by Jan. 3.", "context2": "", "target_sentence": "Bush declined to say yesterday whether he would agree to a later date.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [96.93, 97.25, 100.0, 99.02, 100.0]}}
+{"uid": "1940-neg", "premise": "They simply did not have a mastery of the policy details or an understanding about how changing some of the policies could affect the legislative dynamic. For instance, their final changes moved some conservatives toward them but they lost moderates. They didn't fail to develop any institutional support.", "hypothesis": "They attempted to develop institutional support", "label": "E", "metadata": {"context1": "They simply did not have a mastery of the policy details or an understanding about how changing some of the policies could affect the legislative dynamic.", "context2": "For instance, their final changes moved some conservatives toward them but they lost moderates.", "target_sentence": "They didn't fail to develop any institutional support.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [92.95, 100.0, 100.0, 100.0, 69.78]}}
+{"uid": "1940", "premise": "They simply did not have a mastery of the policy details or an understanding about how changing some of the policies could affect the legislative dynamic. For instance, their final changes moved some conservatives toward them but they lost moderates. They failed to develop any institutional support.", "hypothesis": "They attempted to develop institutional support", "label": "N", "metadata": {"context1": "They simply did not have a mastery of the policy details or an understanding about how changing some of the policies could affect the legislative dynamic.", "context2": "For instance, their final changes moved some conservatives toward them but they lost moderates.", "target_sentence": "They failed to develop any institutional support.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["N", "E", "N", "E", "N"], "ratings": [75.6, 99.85, 7.83, 99.79, 85.76]}}
+{"uid": "1941-neg", "premise": "  While we haven't refrained from including the most expensive multimedia products, such as fully equipped multimedia PCs ($ 1,500 and up) and The Oxford English Dictionary on CD-ROM ($ 895), we've also refrained from cramming in lots of inexpensive but useless multimedia products.", "hypothesis": "We were expected to include the most expensive multimedia products", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "While we haven't refrained from including the most expensive multimedia products, such as fully equipped multimedia PCs ($ 1,500 and up) and The Oxford English Dictionary on CD-ROM ($ 895), we've also refrained from cramming in lots of inexpensive but useless multimedia products.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'refrained', 'inference': 'the action is forced upon/expected for the subject'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["C", "N", "N", "C", "N"], "ratings": [0.38, 28.86, 24.4, 0.0, 61.0]}}
+{"uid": "1941", "premise": "  While we've refrained from including the most expensive multimedia products, such as fully equipped multimedia PCs ($ 1,500 and up) and The Oxford English Dictionary on CD-ROM ($ 895), we've also refrained from cramming in lots of inexpensive but useless multimedia products.", "hypothesis": "We were expected to include the most expensive multimedia products", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "While we've refrained from including the most expensive multimedia products, such as fully equipped multimedia PCs ($ 1,500 and up) and The Oxford English Dictionary on CD-ROM ($ 895), we've also refrained from cramming in lots of inexpensive but useless multimedia products.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'refrained', 'inference': 'the action is forced upon/expected for the subject'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["C", "N", "N", "N", "C"], "ratings": [1.01, 3.69, 7.6, 91.18, 0.0]}}
+{"uid": "1942-neg", "premise": "he asked Duwayne. He couldn't see a yard in any direction, and he marvelled that Duwayne had managed to find them.... Unless he had bothered to leave his snow ditch by the cottonwood.", "hypothesis": "Leaving his snow ditch by the cottonwood would take some effort for him", "label": "N", "metadata": {"context1": "he asked Duwayne.", "context2": "He couldn't see a yard in any direction, and he marvelled that Duwayne had managed to find them....", "target_sentence": "Unless he had bothered to leave his snow ditch by the cottonwood.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'bothered', 'inference': 'the action requires small efforts'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["E", "N", "N", "E", "N"], "ratings": [91.6, 58.36, 76.86, 99.54, 84.4]}}
+{"uid": "1942", "premise": "he asked Duwayne. He couldn't see a yard in any direction, and he marvelled that Duwayne had managed to find them.... Unless he hadn't bothered to leave his snow ditch by the cottonwood.", "hypothesis": "Leaving his snow ditch by the cottonwood would take some effort for him", "label": "N", "metadata": {"context1": "he asked Duwayne.", "context2": "He couldn't see a yard in any direction, and he marvelled that Duwayne had managed to find them....", "target_sentence": "Unless he hadn't bothered to leave his snow ditch by the cottonwood.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'bothered', 'inference': 'the action requires small efforts'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [85.86, 14.24, 84.18, 21.06, 92.95]}}
+{"uid": "1944-neg", "premise": "  At the same time, however, Democrats must not avoid looking too much like the tax-and-spend, anything-goes liberals soundly rejected in the 1994 congressional elections.", "hypothesis": "The Democrats are expected to look like tax-and-spend, anything-goes liberals", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "At the same time, however, Democrats must not avoid looking too much like the tax-and-spend, anything-goes liberals soundly rejected in the 1994 congressional elections.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'avoid', 'inference': 'the event was expected from the subject'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["N", "N", "N", "E", "N"], "ratings": [50.0, 77.72, 73.4, 96.77, 53.15]}}
+{"uid": "1944", "premise": "  At the same time, however, Democrats must avoid looking too much like the tax-and-spend, anything-goes liberals soundly rejected in the 1994 congressional elections.", "hypothesis": "The Democrats are expected to look like tax-and-spend, anything-goes liberals", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "At the same time, however, Democrats must avoid looking too much like the tax-and-spend, anything-goes liberals soundly rejected in the 1994 congressional elections.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'avoid', 'inference': 'the event was expected from the subject'}", "trigger_type": "implicative_predicates", "annotator": "AP", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [49.4, 17.68, 4.54, 16.03, 50.75]}}
+{"uid": "1945-neg", "premise": "The rest could be spent on free agents.  \"To me, the number one key for both teams in question isn't the veteran free agent player,\" said Tampa Bay General Manager Rich McKay.", "hypothesis": "There are two teams in question.", "label": "E", "metadata": {"context1": "The rest could be spent on free agents.", "context2": "", "target_sentence": "\"To me, the number one key for both teams in question isn't the veteran free agent player,\" said Tampa Bay General Manager Rich McKay.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [90.24, 100.0, 92.09, 100.0, 100.0]}}
+{"uid": "1945", "premise": "The rest could be spent on free agents.  \"To me, the number one key for both teams in question is the veteran free agent player,\" said Tampa Bay General Manager Rich McKay.", "hypothesis": "There are two teams in question.", "label": "E", "metadata": {"context1": "The rest could be spent on free agents.", "context2": "", "target_sentence": "\"To me, the number one key for both teams in question is the veteran free agent player,\" said Tampa Bay General Manager Rich McKay.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [99.4, 100.0, 81.18, 100.0, 100.0]}}
+{"uid": "1946-neg", "premise": "Also on September 5, CNN's \"Crossfire\" featured Richard Lugar and Les Aspin. Michael Kinsley pressed both guests to answer the question: \"Is it worth 20,000 to 30,000 American casualties to get Saddam Hussein?\" Both of the men who were featured on Crossfire--the chairman of the House Armed Services Committee and the ranking Republican on the Senate Foreign Relations Committee--didn't say yes.", "hypothesis": "Two men were featured on Crossfire on September 5.", "label": "E", "metadata": {"context1": "Also on September 5, CNN's \"Crossfire\" featured Richard Lugar and Les Aspin.", "context2": "Michael Kinsley pressed both guests to answer the question: \"Is it worth 20,000 to 30,000 American casualties to get Saddam Hussein?\"", "target_sentence": "Both of the men who were featured on Crossfire--the chairman of the House Armed Services Committee and the ranking Republican on the Senate Foreign Relations Committee--didn't say yes.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["N", "N", "E", "E", "E"], "ratings": [87.27, 50.0, 100.0, 100.0, 100.0]}}
+{"uid": "1946", "premise": "Also on September 5, CNN's \"Crossfire\" featured Richard Lugar and Les Aspin. Michael Kinsley pressed both guests to answer the question: \"Is it worth 20,000 to 30,000 American casualties to get Saddam Hussein?\" Both of the men who were featured on Crossfire--the chairman of the House Armed Services Committee and the ranking Republican on the Senate Foreign Relations Committee--said yes.", "hypothesis": "Two men were featured on Crossfire on September 5.", "label": "E", "metadata": {"context1": "Also on September 5, CNN's \"Crossfire\" featured Richard Lugar and Les Aspin.", "context2": "Michael Kinsley pressed both guests to answer the question: \"Is it worth 20,000 to 30,000 American casualties to get Saddam Hussein?\"", "target_sentence": "Both of the men who were featured on Crossfire--the chairman of the House Armed Services Committee and the ranking Republican on the Senate Foreign Relations Committee--said yes.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [95.77, 100.0, 100.0, 96.2, 100.0]}}
+{"uid": "1947-neg", "premise": "That work has already been started by ecofeminists and by the deep ecology movement many of whose pioneering members are philosophy professors drawing on ecology, ethics, philosophy, and religion. There has been little serious contact these two movements, a situation that I don't hope both parties representing these movements will work to change, for ecofeminism has a great deal to add to the evolution of ecophilosophy.", "hypothesis": "There are two relevant parties representing eco movements.", "label": "E", "metadata": {"context1": "That work has already been started by ecofeminists and by the deep ecology movement", "context2": "many of whose pioneering members are philosophy professors drawing on ecology, ethics, philosophy, and religion.", "target_sentence": "There has been little serious contact these two movements, a situation that I don't hope both parties representing these movements will work to change, for ecofeminism has a great deal to add to the evolution of ecophilosophy.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.25, 97.45, 97.98, 100.0]}}
+{"uid": "1947", "premise": "That work has already been started by ecofeminists and by the deep ecology movement many of whose pioneering members are philosophy professors drawing on ecology, ethics, philosophy, and religion. There has been little serious contact these two movements, a situation that I hope both parties representing these movements will work to change, for ecofeminism has a great deal to add to the evolution of ecophilosophy.", "hypothesis": "There are two relevant parties representing eco movements.", "label": "E", "metadata": {"context1": "That work has already been started by ecofeminists and by the deep ecology movement", "context2": "many of whose pioneering members are philosophy professors drawing on ecology, ethics, philosophy, and religion.", "target_sentence": "There has been little serious contact these two movements, a situation that I hope both parties representing these movements will work to change, for ecofeminism has a great deal to add to the evolution of ecophilosophy.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [96.71, 85.55, 100.0, 85.24, 98.69]}}
+{"uid": "195-neg", "premise": "For example, upon moving to a new geographic location, a client might express deep regret over having to give up a sacred activity that nourished her soul. Practitioners should be alert for changes in client affect during the flow of conversation (Griffith & amp; Griffith, 2002). The presence of an emotion may not indicate that a spiritually relevant topic has been touched on.", "hypothesis": "A spiritually relevant topic has been touched on.", "label": "N", "metadata": {"context1": "For example, upon moving to a new geographic location, a client might express deep regret over having to give up a sacred activity that nourished her soul.", "context2": "Practitioners should be alert for changes in client affect during the flow of conversation (Griffith & amp; Griffith, 2002).", "target_sentence": "The presence of an emotion may not indicate that a spiritually relevant topic has been touched on.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'indicate', 'embedded_clause': 'that a spiritually relevant topic has been touched on'}", "trigger_type": "clause_embedding_predicates", "annotator": "ZZ", "nli_labels": ["E", "N", "E", "N", "N"], "ratings": [99.51, 46.7, 97.84, 19.52, 50.3]}}
+{"uid": "195", "premise": "For example, upon moving to a new geographic location, a client might express deep regret over having to give up a sacred activity that nourished her soul. Practitioners should be alert for changes in client affect during the flow of conversation (Griffith & amp; Griffith, 2002). The presence of an emotion may indicate that a spiritually relevant topic has been touched on.", "hypothesis": "A spiritually relevant topic has been touched on.", "label": "E", "metadata": {"context1": "For example, upon moving to a new geographic location, a client might express deep regret over having to give up a sacred activity that nourished her soul.", "context2": "Practitioners should be alert for changes in client affect during the flow of conversation (Griffith & amp; Griffith, 2002).", "target_sentence": "The presence of an emotion may indicate that a spiritually relevant topic has been touched on.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'indicate', 'embedded_clause': 'that a spiritually relevant topic has been touched on'}", "trigger_type": "clause_embedding_predicates", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "N", "N"], "ratings": [95.65, 100.0, 97.98, 78.82, 83.97]}}
+{"uid": "1950-neg", "premise": "Barely a day goes by when my children, if they're with me, aren't calling their dad to ask him to drop off something they've left at his place. When they're at their dad's, I get calls at all hours of the day and night asking if I know the whereabouts of some treasured toy, item of clothing or homework paper. Late-night trips between the houses of both of the children's parents are not common.", "hypothesis": "The children have two parents.", "label": "E", "metadata": {"context1": "Barely a day goes by when my children, if they're with me, aren't calling their dad to ask him to drop off something they've left at his place.", "context2": "When they're at their dad's, I get calls at all hours of the day and night asking if I know the whereabouts of some treasured toy, item of clothing or homework paper.", "target_sentence": "Late-night trips between the houses of both of the children's parents are not common.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 99.9]}}
+{"uid": "1950", "premise": "Barely a day goes by when my children, if they're with me, aren't calling their dad to ask him to drop off something they've left at his place. When they're at their dad's, I get calls at all hours of the day and night asking if I know the whereabouts of some treasured toy, item of clothing or homework paper. Late-night trips between the houses of both of the children's parents are common.", "hypothesis": "The children have two parents.", "label": "E", "metadata": {"context1": "Barely a day goes by when my children, if they're with me, aren't calling their dad to ask him to drop off something they've left at his place.", "context2": "When they're at their dad's, I get calls at all hours of the day and night asking if I know the whereabouts of some treasured toy, item of clothing or homework paper.", "target_sentence": "Late-night trips between the houses of both of the children's parents are common.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 98.62]}}
+{"uid": "1953", "premise": " COLUMBUS #You never did. You did all the talking for both of us in the group, remember?", "hypothesis": "There were only two of us in the group at the time", "label": "N", "metadata": {"context1": "", "context2": "COLUMBUS #You never did.", "target_sentence": "You did all the talking for both of us in the group, remember?", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["N", "E", "C", "N", "N"], "ratings": [18.25, 100.0, 0.54, 79.89, 2.91]}}
+{"uid": "1955-neg", "premise": "Jack let out an exasperated sigh. \" I told you--if I go somewhere else, he follows me. \" This wasn't on a Sunday night, when we try to have dinner in a restaurant, all three of us in the group, in order to ease his transition from me to Drew, or vice versa.", "hypothesis": "Three people were in the group", "label": "E", "metadata": {"context1": "Jack let out an exasperated sigh.", "context2": "\" I told you--if I go somewhere else, he follows me.", "target_sentence": "\" This wasn't on a Sunday night, when we try to have dinner in a restaurant, all three of us in the group, in order to ease his transition from me to Drew, or vice versa.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'all'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 12.34, 100.0, 99.77, 98.69]}}
+{"uid": "1955", "premise": "Jack let out an exasperated sigh. \" I told you--if I go somewhere else, he follows me. \" This was on a Sunday night, when we try to have dinner in a restaurant, all three of us in the group, in order to ease his transition from me to Drew, or vice versa.", "hypothesis": "Three people were in the group", "label": "E", "metadata": {"context1": "Jack let out an exasperated sigh.", "context2": "\" I told you--if I go somewhere else, he follows me.", "target_sentence": "\" This was on a Sunday night, when we try to have dinner in a restaurant, all three of us in the group, in order to ease his transition from me to Drew, or vice versa.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'all'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.37, 100.0, 95.4, 100.0]}}
+{"uid": "196-neg", "premise": "First Meridian. which is contesting the charges in court. First Meridian didn't allegedly say that the fees for these plans were its sole source of income.", "hypothesis": "the fees for these plans were its sole source of income.", "label": "N", "metadata": {"context1": "First Meridian.", "context2": "which is contesting the charges in court.", "target_sentence": "First Meridian didn't allegedly say that the fees for these plans were its sole source of income.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'said', 'embedded_clause': 'that the fees for these plans were its sole source of income'}", "trigger_type": "clause_embedding_predicates", "annotator": "ZZ", "nli_labels": ["N", "N", "N", "C", "N"], "ratings": [25.43, 81.52, 3.8, 1.89, 26.73]}}
+{"uid": "196", "premise": "First Meridian. which is contesting the charges in court. First Meridian allegedly said that the fees for these plans were its sole source of income.", "hypothesis": "the fees for these plans were its sole source of income.", "label": "N", "metadata": {"context1": "First Meridian.", "context2": "which is contesting the charges in court.", "target_sentence": "First Meridian allegedly said that the fees for these plans were its sole source of income.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'said', 'embedded_clause': 'that the fees for these plans were its sole source of income'}", "trigger_type": "clause_embedding_predicates", "annotator": "ZZ", "nli_labels": ["N", "N", "E", "E", "N"], "ratings": [88.33, 59.83, 100.0, 99.43, 91.6]}}
+{"uid": "1960-neg", "premise": "I don't know if they were there already or if he put them up, but they are nice, and the room feels airy because of the mirror. I fell asleep last night on my back feeling like I was floating down the Mississippi River on a raft. I didn't picture you and Sam curled up on both sides of me, nuzzling my armpits.", "hypothesis": "I have exactly two sides that people can be on", "label": "E", "metadata": {"context1": "I don't know if they were there already or if he put them up, but they are nice, and the room feels airy because of the mirror.", "context2": "I fell asleep last night on my back feeling like I was floating down the Mississippi River on a raft.", "target_sentence": "I didn't picture you and Sam curled up on both sides of me, nuzzling my armpits.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.16, 100.0, 98.2, 99.06, 100.0]}}
+{"uid": "1960", "premise": "I don't know if they were there already or if he put them up, but they are nice, and the room feels airy because of the mirror. I fell asleep last night on my back feeling like I was floating down the Mississippi River on a raft. I pictured you and Sam curled up on both sides of me, nuzzling my armpits.", "hypothesis": "I have exactly two sides that people can be on", "label": "E", "metadata": {"context1": "I don't know if they were there already or if he put them up, but they are nice, and the room feels airy because of the mirror.", "context2": "I fell asleep last night on my back feeling like I was floating down the Mississippi River on a raft.", "target_sentence": "I pictured you and Sam curled up on both sides of me, nuzzling my armpits.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 100.0, 100.0, 82.54, 99.4]}}
+{"uid": "1961-neg", "premise": "Soon after, Ayman al-Zawahiri, the current leader of Al Qaeda, created an offshoot and competitor of the group, called Al-Jihad. Neither group was known for compromise. Yet today, the Egyptian branches of both organizations mentioned above haven't renounced violence.", "hypothesis": "There were two organizations mentioned above.", "label": "E", "metadata": {"context1": "Soon after, Ayman al-Zawahiri, the current leader of Al Qaeda, created an offshoot and competitor of the group, called Al-Jihad.", "context2": "Neither group was known for compromise.", "target_sentence": "Yet today, the Egyptian branches of both organizations mentioned above haven't renounced violence.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [94.81, 98.81, 99.9, 100.0, 99.91]}}
+{"uid": "1961", "premise": "Soon after, Ayman al-Zawahiri, the current leader of Al Qaeda, created an offshoot and competitor of the group, called Al-Jihad. Neither group was known for compromise. Yet today, the Egyptian branches of both organizations mentioned above have renounced violence.", "hypothesis": "There were two organizations mentioned above.", "label": "E", "metadata": {"context1": "Soon after, Ayman al-Zawahiri, the current leader of Al Qaeda, created an offshoot and competitor of the group, called Al-Jihad.", "context2": "Neither group was known for compromise.", "target_sentence": "Yet today, the Egyptian branches of both organizations mentioned above have renounced violence.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [96.71, 99.75, 100.0, 93.32, 99.69]}}
+{"uid": "1962-neg", "premise": " Conservationists have focused on the abundance and distribution of living organisms without regard for their significance to human health, while biomedical researchers have done much the reverse. This is particularly unfortunate because closer collaboration would undoubtedly not benefit both groups involved in the debate, furthering medical research as well as the preservation of biodiversity.", "hypothesis": "There are two groups that are involved in the debate on conservation vs. medical research.", "label": "E", "metadata": {"context1": "", "context2": "Conservationists have focused on the abundance and distribution of living organisms without regard for their significance to human health, while biomedical researchers have done much the reverse.", "target_sentence": "This is particularly unfortunate because closer collaboration would undoubtedly not benefit both groups involved in the debate, furthering medical research as well as the preservation of biodiversity.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 99.66, 100.0]}}
+{"uid": "1962", "premise": " Conservationists have focused on the abundance and distribution of living organisms without regard for their significance to human health, while biomedical researchers have done much the reverse. This is particularly unfortunate because closer collaboration would undoubtedly benefit both groups involved in the debate, furthering medical research as well as the preservation of biodiversity.", "hypothesis": "There are two groups that are involved in the debate on conservation vs. medical research.", "label": "E", "metadata": {"context1": "", "context2": "Conservationists have focused on the abundance and distribution of living organisms without regard for their significance to human health, while biomedical researchers have done much the reverse.", "target_sentence": "This is particularly unfortunate because closer collaboration would undoubtedly benefit both groups involved in the debate, furthering medical research as well as the preservation of biodiversity.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["N", "E", "E", "N", "E"], "ratings": [91.6, 100.0, 100.0, 89.53, 100.0]}}
+{"uid": "1963-neg", "premise": "\" The project involves planting 75,000 trees--one for each person killed in the civil war--high on the volcano's slopes. On lower slopes, they're planting a \"buffer zone\" designed to provide wood for fuel and construction. Both zoned-off sections of the forest on the volcano's slopes won't provide food and habitat for animals, protect fertile soils and help stream beds recover their ability to hold and carry water.", "hypothesis": "There are two sections of forest along the volcano's slopes that have been zoned off", "label": "E", "metadata": {"context1": "\" The project involves planting 75,000 trees--one for each person killed in the civil war--high on the volcano's slopes.", "context2": "On lower slopes, they're planting a \"buffer zone\" designed to provide wood for fuel and construction.", "target_sentence": "Both zoned-off sections of the forest on the volcano's slopes won't provide food and habitat for animals, protect fertile soils and help stream beds recover their ability to hold and carry water.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["N", "E", "N", "E", "E"], "ratings": [90.76, 100.0, 79.06, 100.0, 97.93]}}
+{"uid": "1963", "premise": "\" The project involves planting 75,000 trees--one for each person killed in the civil war--high on the volcano's slopes. On lower slopes, they're planting a \"buffer zone\" designed to provide wood for fuel and construction. Both zoned-off sections of the forest on the volcano's slopes will provide food and habitat for animals, protect fertile soils and help stream beds recover their ability to hold and carry water.", "hypothesis": "There are two sections of forest along the volcano's slopes that have been zoned off", "label": "E", "metadata": {"context1": "\" The project involves planting 75,000 trees--one for each person killed in the civil war--high on the volcano's slopes.", "context2": "On lower slopes, they're planting a \"buffer zone\" designed to provide wood for fuel and construction.", "target_sentence": "Both zoned-off sections of the forest on the volcano's slopes will provide food and habitat for animals, protect fertile soils and help stream beds recover their ability to hold and carry water.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 100.0, 89.17, 86.77, 100.0]}}
+{"uid": "1964-neg", "premise": " I've spoken with all three-H. Ross Perot, Paul Laxalt and retired Lieutenant Colonel Terry Mattke, a former military aide to then Vice President Bush. All three people I spoke to don't deny the allegation.", "hypothesis": "There are three people that I spoke to.", "label": "E", "metadata": {"context1": "", "context2": "I've spoken with all three-H. Ross Perot, Paul Laxalt and retired Lieutenant Colonel Terry Mattke, a former military aide to then Vice President Bush.", "target_sentence": "All three people I spoke to don't deny the allegation.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'All'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.69, 99.37, 100.0, 100.0]}}
+{"uid": "1964", "premise": " I've spoken with all three-H. Ross Perot, Paul Laxalt and retired Lieutenant Colonel Terry Mattke, a former military aide to then Vice President Bush. All three people I spoke to deny the allegation.", "hypothesis": "There are three people that I spoke to.", "label": "E", "metadata": {"context1": "", "context2": "I've spoken with all three-H. Ross Perot, Paul Laxalt and retired Lieutenant Colonel Terry Mattke, a former military aide to then Vice President Bush.", "target_sentence": "All three people I spoke to deny the allegation.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'All'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [99.22, 100.0, 100.0, 100.0, 89.98]}}
+{"uid": "1966-neg", "premise": "And actually, wonderful thinkers have recognized this. I'll just give two examples: one is Einstein, the other is the French mathematician Henri Poincare. Both of the examples I gave didn't have a very keen sense of how non-conscious the processing that led to, let's say, scientific or artistic inspiration had to be.", "hypothesis": "I gave two examples of wonderful thinkers.", "label": "E", "metadata": {"context1": "And actually, wonderful thinkers have recognized this.", "context2": "I'll just give two examples: one is Einstein, the other is the French mathematician Henri Poincare.", "target_sentence": "Both of the examples I gave didn't have a very keen sense of how non-conscious the processing that led to, let's say, scientific or artistic inspiration had to be.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 10.11, 100.0, 99.49, 100.0]}}
+{"uid": "1966", "premise": "And actually, wonderful thinkers have recognized this. I'll just give two examples: one is Einstein, the other is the French mathematician Henri Poincare. Both of the examples I gave had a very keen sense of how non-conscious the processing that led to, let's say, scientific or artistic inspiration had to be.", "hypothesis": "I gave two examples of wonderful thinkers.", "label": "E", "metadata": {"context1": "And actually, wonderful thinkers have recognized this.", "context2": "I'll just give two examples: one is Einstein, the other is the French mathematician Henri Poincare.", "target_sentence": "Both of the examples I gave had a very keen sense of how non-conscious the processing that led to, let's say, scientific or artistic inspiration had to be.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1970-neg", "premise": "  On the presidential campaign front, the energy on both political sides wasn't evident.", "hypothesis": "There are two political sides present at this point in the campaign.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "On the presidential campaign front, the energy on both political sides wasn't evident.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 79.06, 100.0, 100.0, 100.0]}}
+{"uid": "1970", "premise": "  On the presidential campaign front, the energy on both political sides was evident.", "hypothesis": "There are two political sides present at this point in the campaign.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "On the presidential campaign front, the energy on both political sides was evident.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 97.25, 100.0]}}
+{"uid": "1971-neg", "premise": "There is even more room for speculation surrounding these two types of nonresponse. Were respondents who chose \"none\" rejecting all parties or candidates of both sides? Were those who answered \"none\" really offering a \"throw-the-rascals-out response?\" Or were those choosing \"none\" really too fearful to give any answer, perhaps not afraid of partisans on both sides of the political spectrum?", "hypothesis": "The political spectrum has two sides.", "label": "E", "metadata": {"context1": "There is even more room for speculation surrounding these two types of nonresponse.", "context2": "Were respondents who chose \"none\" rejecting all parties or candidates of both sides?", "target_sentence": "Were those who answered \"none\" really offering a \"throw-the-rascals-out response?\" Or were those choosing \"none\" really too fearful to give any answer, perhaps not afraid of partisans on both sides of the political spectrum?", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [97.5, 100.0, 100.0, 96.54, 100.0]}}
+{"uid": "1971", "premise": "There is even more room for speculation surrounding these two types of nonresponse. Were respondents who chose \"none\" rejecting all parties or candidates of both sides? Were those who answered \"none\" really offering a \"throw-the-rascals-out response?\" Or were those choosing \"none\" really too fearful to give any answer, perhaps afraid of partisans on both sides of the political spectrum?", "hypothesis": "The political spectrum has two sides.", "label": "E", "metadata": {"context1": "There is even more room for speculation surrounding these two types of nonresponse.", "context2": "Were respondents who chose \"none\" rejecting all parties or candidates of both sides?", "target_sentence": "Were those who answered \"none\" really offering a \"throw-the-rascals-out response?\" Or were those choosing \"none\" really too fearful to give any answer, perhaps afraid of partisans on both sides of the political spectrum?", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [78.46, 97.35, 98.11, 100.0, 99.97]}}
+{"uid": "1973-neg", "premise": "Speaker B: Is it a good idea? What do you think?\nSpeaker A: There's some merit, but I, of course, don't have sympathy for both sides that I've heard arguments for.", "hypothesis": "I have heard arguments for two sides of the debate.", "label": "E", "metadata": {"context1": "Is it a good idea?", "context2": "What do you think?", "target_sentence": "There's some merit, but I, of course, don't have sympathy for both sides that I've heard arguments for.", "speaker_context1": "JUDY-WOODRUFF", "speaker_context2": "JUDY-WOODRUFF", "speaker_target": "DAVID-BROOKS", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 95.27, 100.0, 100.0]}}
+{"uid": "1973", "premise": "Speaker B: Is it a good idea? What do you think?\nSpeaker A: There's some merit, but I, of course, have sympathy for both sides that I've heard arguments for.", "hypothesis": "I have heard arguments for two sides of the debate.", "label": "E", "metadata": {"context1": "Is it a good idea?", "context2": "What do you think?", "target_sentence": "There's some merit, but I, of course, have sympathy for both sides that I've heard arguments for.", "speaker_context1": "JUDY-WOODRUFF", "speaker_context2": "JUDY-WOODRUFF", "speaker_target": "DAVID-BROOKS", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 100.0, 97.19, 86.17, 80.01]}}
+{"uid": "1974-neg", "premise": "Reforms like those of the Tory government \" fail to address the supply side. It's half a revolution. \" Because the British state still controls 93% of the nation's schools, the schools remain run by the same special interests that haven't brought education to its present sorry pass on both sides of the Atlantic.", "hypothesis": "There are two sides of the Atlantic that people are on.", "label": "E", "metadata": {"context1": "Reforms like those of the Tory government \" fail to address the supply side.", "context2": "It's half a revolution. \"", "target_sentence": "Because the British state still controls 93% of the nation's schools, the schools remain run by the same special interests that haven't brought education to its present sorry pass on both sides of the Atlantic.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1974", "premise": "Reforms like those of the Tory government \" fail to address the supply side. It's half a revolution. \" Because the British state still controls 93% of the nation's schools, the schools remain run by the same special interests that have brought education to its present sorry pass on both sides of the Atlantic.", "hypothesis": "There are two sides of the Atlantic that people are on.", "label": "E", "metadata": {"context1": "Reforms like those of the Tory government \" fail to address the supply side.", "context2": "It's half a revolution. \"", "target_sentence": "Because the British state still controls 93% of the nation's schools, the schools remain run by the same special interests that have brought education to its present sorry pass on both sides of the Atlantic.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.88, 99.79, 100.0, 91.1, 100.0]}}
+{"uid": "1976-neg", "premise": "mm-hmm. KOTB: OK. Now, viewers, I don't want you to look at both of my arms.", "hypothesis": "I have two arms.", "label": "E", "metadata": {"context1": "mm-hmm.", "context2": "KOTB: OK.", "target_sentence": "Now, viewers, I don't want you to look at both of my arms.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.54, 100.0, 100.0, 100.0]}}
+{"uid": "1976", "premise": "mm-hmm. KOTB: OK. Now, viewers, I want you to look at both of my arms.", "hypothesis": "I have two arms.", "label": "E", "metadata": {"context1": "mm-hmm.", "context2": "KOTB: OK.", "target_sentence": "Now, viewers, I want you to look at both of my arms.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.94, 100.0, 100.0, 100.0]}}
+{"uid": "1977-neg", "premise": " This idea of Isaac's was something we knew from hints and suggestions he would drop into conversations. We'd be sitting in the living room after dinner, all three of us not immersed in our books, and Isaac would suddenly wonder if it would be nice to listen to some Mozart right about now, maybe that Piano Concerto in C Major that we all went to hear last year in downtown Portland.", "hypothesis": "There were only three of us that would sit in the living room after dinner.", "label": "E", "metadata": {"context1": "", "context2": "This idea of Isaac's was something we knew from hints and suggestions he would drop into conversations.", "target_sentence": "We'd be sitting in the living room after dinner, all three of us not immersed in our books, and Isaac would suddenly wonder if it would be nice to listen to some Mozart right about now, maybe that Piano Concerto in C Major that we all went to hear last year in downtown Portland.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'all'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [99.75, 100.0, 100.0, 100.0, 92.17]}}
+{"uid": "1977", "premise": " This idea of Isaac's was something we knew from hints and suggestions he would drop into conversations. We'd be sitting in the living room after dinner, all three of us immersed in our books, and Isaac would suddenly wonder if it would be nice to listen to some Mozart right about now, maybe that Piano Concerto in C Major that we all went to hear last year in downtown Portland.", "hypothesis": "There were only three of us that would sit in the living room after dinner.", "label": "E", "metadata": {"context1": "", "context2": "This idea of Isaac's was something we knew from hints and suggestions he would drop into conversations.", "target_sentence": "We'd be sitting in the living room after dinner, all three of us immersed in our books, and Isaac would suddenly wonder if it would be nice to listen to some Mozart right about now, maybe that Piano Concerto in C Major that we all went to hear last year in downtown Portland.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'all'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [97.45, 95.27, 99.46, 100.0, 96.66]}}
+{"uid": "1978-neg", "premise": " \"They come here so we can eat,\" Nell said. \"What if they don't come back next year?\" She didn't look at both men in front of her, waiting for an answer.", "hypothesis": "There were two men who were in front of her.", "label": "E", "metadata": {"context1": "", "context2": "\"They come here so we can eat,\" Nell said.", "target_sentence": "\"What if they don't come back next year?\" She didn't look at both men in front of her, waiting for an answer.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.37, 100.0, 100.0]}}
+{"uid": "1978", "premise": " \"They come here so we can eat,\" Nell said. \"What if they don't come back next year?\" She looked at both men in front of her, waiting for an answer.", "hypothesis": "There were two men who were in front of her.", "label": "E", "metadata": {"context1": "", "context2": "\"They come here so we can eat,\" Nell said.", "target_sentence": "\"What if they don't come back next year?\" She looked at both men in front of her, waiting for an answer.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [96.93, 88.98, 100.0, 98.92, 100.0]}}
+{"uid": "198", "premise": "had sexual intercourse once again with the men that they had said that they had been raped by. Now, how- where are we making our distinctions? I think that there's some problem here in the communication between men and women and how they identify exactly what rape is.", "hypothesis": "There's some problem here in the communication between men and women and how they identify exactly what rape is.", "label": "E", "metadata": {"context1": "had sexual intercourse once again with the men that they had said that they had been raped by.", "context2": "Now, how- where are we making our distinctions?", "target_sentence": "I think that there's some problem here in the communication between men and women and how they identify exactly what rape is.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': \"that there 's some problem here in the communication between men and women and how they identify exactly what rape is\"}", "trigger_type": "clause_embedding_predicates", "annotator": "ZZ", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 83.21, 100.0, 100.0, 99.22]}}
+{"uid": "1981-neg", "premise": "* 28;332;TOOLONG, two science historians, and two forest historians ) each recommended by independent professional associations. All nine on the committee, whose statements will be incorporated into the EIS, didn't pronounce the goats exotic.", "hypothesis": "There were nine people on the committee.", "label": "E", "metadata": {"context1": "* 28;332;TOOLONG, two science historians, and two forest historians )", "context2": "each recommended by independent professional associations.", "target_sentence": "All nine on the committee, whose statements will be incorporated into the EIS, didn't pronounce the goats exotic.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'All'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.22, 100.0, 100.0, 100.0]}}
+{"uid": "1981", "premise": "* 28;332;TOOLONG, two science historians, and two forest historians ) each recommended by independent professional associations. All nine on the committee, whose statements will be incorporated into the EIS, pronounced the goats exotic.", "hypothesis": "There were nine people on the committee.", "label": "E", "metadata": {"context1": "* 28;332;TOOLONG, two science historians, and two forest historians )", "context2": "each recommended by independent professional associations.", "target_sentence": "All nine on the committee, whose statements will be incorporated into the EIS, pronounced the goats exotic.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'All'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["E", "C", "E", "E", "E"], "ratings": [100.0, 0.0, 100.0, 100.0, 99.22]}}
+{"uid": "1982-neg", "premise": "The arterial pressure responses in this study differed somewhat from those reported by previous investigators. Whereas a marked pressor response in quads, but not in pares, had been reported in previous studies (22,36), a small increase of MAP in both groups was observed in this study. The MAP of both groups that we tested didn't increase, but quads averaged 20 mmHg below pares.", "hypothesis": "There were two groups that we tested.", "label": "E", "metadata": {"context1": "The arterial pressure responses in this study differed somewhat from those reported by previous investigators.", "context2": "Whereas a marked pressor response in quads, but not in pares, had been reported in previous studies (22,36), a small increase of MAP in both groups was observed in this study.", "target_sentence": "The MAP of both groups that we tested didn't increase, but quads averaged 20 mmHg below pares.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [95.53, 100.0, 100.0, 99.4, 100.0]}}
+{"uid": "1982", "premise": "The arterial pressure responses in this study differed somewhat from those reported by previous investigators. Whereas a marked pressor response in quads, but not in pares, had been reported in previous studies (22,36), a small increase of MAP in both groups was observed in this study. The MAP of both groups that we tested increased, but quads averaged 20 mmHg below pares.", "hypothesis": "There were two groups that we tested.", "label": "E", "metadata": {"context1": "The arterial pressure responses in this study differed somewhat from those reported by previous investigators.", "context2": "Whereas a marked pressor response in quads, but not in pares, had been reported in previous studies (22,36), a small increase of MAP in both groups was observed in this study.", "target_sentence": "The MAP of both groups that we tested increased, but quads averaged 20 mmHg below pares.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [97.98, 99.54, 100.0, 99.51, 100.0]}}
+{"uid": "1983-neg", "premise": "In making the argument that capitalism is evil, director Michael Moore is all over the place, and he doesn't even make the vaguest attempt at finding balance journalistically. Then again, he never has. But at least he's equal opportunity, not blaming politicians on both sides of the aisle for allowing Wall Street's influence on government to lead us into the troubles we're in today.", "hypothesis": "There are two political sides of the aisle that politicians can be on.", "label": "E", "metadata": {"context1": "In making the argument that capitalism is evil, director Michael Moore is all over the place, and he doesn't even make the vaguest attempt at finding balance journalistically.", "context2": "Then again, he never has.", "target_sentence": "But at least he's equal opportunity, not blaming politicians on both sides of the aisle for allowing Wall Street's influence on government to lead us into the troubles we're in today.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [94.94, 100.0, 100.0, 99.46, 99.98]}}
+{"uid": "1983", "premise": "In making the argument that capitalism is evil, director Michael Moore is all over the place, and he doesn't even make the vaguest attempt at finding balance journalistically. Then again, he never has. But at least he's equal opportunity, blaming politicians on both sides of the aisle for allowing Wall Street's influence on government to lead us into the troubles we're in today.", "hypothesis": "There are two political sides of the aisle that politicians can be on.", "label": "E", "metadata": {"context1": "In making the argument that capitalism is evil, director Michael Moore is all over the place, and he doesn't even make the vaguest attempt at finding balance journalistically.", "context2": "Then again, he never has.", "target_sentence": "But at least he's equal opportunity, blaming politicians on both sides of the aisle for allowing Wall Street's influence on government to lead us into the troubles we're in today.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 97.93, 78.58, 100.0, 90.42]}}
+{"uid": "1984-neg", "premise": "\"I don't even want to touch you, you emotional jellyfish.\" Then Clio got a wild idea. She didn't fling both of her arms around Oilc and hugged her close.", "hypothesis": "She had two arms", "label": "E", "metadata": {"context1": "\"I don't even want to touch you, you emotional jellyfish.\"", "context2": "Then Clio got a wild idea.", "target_sentence": "She didn't fling both of her arms around Oilc and hugged her close.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 100.0, 98.92, 93.02, 100.0]}}
+{"uid": "1984", "premise": "\"I don't even want to touch you, you emotional jellyfish.\" Then Clio got a wild idea. She flung both of her arms around Oilc and hugged her close.", "hypothesis": "She had two arms", "label": "E", "metadata": {"context1": "\"I don't even want to touch you, you emotional jellyfish.\"", "context2": "Then Clio got a wild idea.", "target_sentence": "She flung both of her arms around Oilc and hugged her close.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 99.54, 100.0]}}
+{"uid": "1986-neg", "premise": "GORE: Wait a minute now. The tobacco industry hasn't come in with both of their guns blazing, far more money than any special interest...", "hypothesis": "The tobacco industry has two guns.", "label": "N", "metadata": {"context1": "GORE:", "context2": "Wait a minute now.", "target_sentence": "The tobacco industry hasn't come in with both of their guns blazing, far more money than any special interest...", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["N", "C", "N", "E", "N"], "ratings": [19.87, 0.12, 12.44, 98.62, 53.6]}}
+{"uid": "1986", "premise": "GORE: Wait a minute now. The tobacco industry has come in with both of their guns blazing, far more money than any special interest...", "hypothesis": "The tobacco industry has two guns.", "label": "C", "metadata": {"context1": "GORE:", "context2": "Wait a minute now.", "target_sentence": "The tobacco industry has come in with both of their guns blazing, far more money than any special interest...", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AP", "nli_labels": ["C", "E", "C", "N", "C"], "ratings": [0.29, 100.0, 0.0, 77.1, 0.0]}}
+{"uid": "1988-neg", "premise": " Mashable is a leading global media company that informs, inspires and entertains the digital generation. Mashable isn't redefining storytelling by documenting and shaping the digital revolution in a new voice, new formats and cutting-edge technologies to a uniquely dedicated audience of 45 million monthly unique visitors and 26 million social followers.", "hypothesis": "Storytelling has been defined before", "label": "E", "metadata": {"context1": "", "context2": "Mashable is a leading global media company that informs, inspires and entertains the digital generation.", "target_sentence": "Mashable isn't redefining storytelling by documenting and shaping the digital revolution in a new voice, new formats and cutting-edge technologies to a uniquely dedicated audience of 45 million monthly unique visitors and 26 million social followers.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'redefining'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [100.0, 100.0, 100.0, 100.0, 90.67]}}
+{"uid": "1988", "premise": " Mashable is a leading global media company that informs, inspires and entertains the digital generation. Mashable is redefining storytelling by documenting and shaping the digital revolution in a new voice, new formats and cutting-edge technologies to a uniquely dedicated audience of 45 million monthly unique visitors and 26 million social followers.", "hypothesis": "Storytelling has been defined before", "label": "E", "metadata": {"context1": "", "context2": "Mashable is a leading global media company that informs, inspires and entertains the digital generation.", "target_sentence": "Mashable is redefining storytelling by documenting and shaping the digital revolution in a new voice, new formats and cutting-edge technologies to a uniquely dedicated audience of 45 million monthly unique visitors and 26 million social followers.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'redefining'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [4.86, 100.0, 96.71, 92.72, 100.0]}}
+{"uid": "1989-neg", "premise": "Forgotten. Clean slate. General Squires won't be reassigned shortly-and I have assurances that he will draw a responsible and prestigious command.", "hypothesis": "General Squires had been assigned somewhere before", "label": "E", "metadata": {"context1": "Forgotten.", "context2": "Clean slate.", "target_sentence": "General Squires won't be reassigned shortly-and I have assurances that he will draw a responsible and prestigious command.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reassigned'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["E", "E", "C", "E", "E"], "ratings": [100.0, 99.69, 0.0, 92.25, 97.98]}}
+{"uid": "1989", "premise": "Forgotten. Clean slate. General Squires will be reassigned shortly-and I have assurances that he will draw a responsible and prestigious command.", "hypothesis": "General Squires had been assigned somewhere before", "label": "E", "metadata": {"context1": "Forgotten.", "context2": "Clean slate.", "target_sentence": "General Squires will be reassigned shortly-and I have assurances that he will draw a responsible and prestigious command.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reassigned'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "199-neg", "premise": "Today also marks the airport's first use of facial recognition technology, a kind of video camera that uses photographic data to recognize terrorism suspects. It was the third day Logan is using a scanning device that detects phony passports, and the airport has also started using a cloth-covered wand that can detect traces of explosives when rubbed across carry-on bags. Airport spokesman Phil Orlandella doesn't say all the new technology is lengthening waiting times.", "hypothesis": "all the new technology is lengthening waiting times.", "label": "N", "metadata": {"context1": "Today also marks the airport's first use of facial recognition technology, a kind of video camera that uses photographic data to recognize terrorism suspects.", "context2": "It was the third day Logan is using a scanning device that detects phony passports, and the airport has also started using a cloth-covered wand that can detect traces of explosives when rubbed across carry-on bags.", "target_sentence": "Airport spokesman Phil Orlandella doesn't say all the new technology is lengthening waiting times.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'says', 'embedded_clause': 'all the new technology is lengthening waiting times'}", "trigger_type": "clause_embedding_predicates", "annotator": "ZZ", "nli_labels": ["N", "N", "N", "C", "C"], "ratings": [95.84, 50.6, 2.55, 0.66, 0.0]}}
+{"uid": "199", "premise": "Today also marks the airport's first use of facial recognition technology, a kind of video camera that uses photographic data to recognize terrorism suspects. It was the third day Logan is using a scanning device that detects phony passports, and the airport has also started using a cloth-covered wand that can detect traces of explosives when rubbed across carry-on bags. Airport spokesman Phil Orlandella says all the new technology is lengthening waiting times.", "hypothesis": "all the new technology is lengthening waiting times.", "label": "E", "metadata": {"context1": "Today also marks the airport's first use of facial recognition technology, a kind of video camera that uses photographic data to recognize terrorism suspects.", "context2": "It was the third day Logan is using a scanning device that detects phony passports, and the airport has also started using a cloth-covered wand that can detect traces of explosives when rubbed across carry-on bags.", "target_sentence": "Airport spokesman Phil Orlandella says all the new technology is lengthening waiting times.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'says', 'embedded_clause': 'all the new technology is lengthening waiting times'}", "trigger_type": "clause_embedding_predicates", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [99.34, 100.0, 100.0, 89.62, 99.22]}}
+{"uid": "1993-neg", "premise": "By the end of his second administration, Roosevelt was calling for graduated income and inheritance taxes and was criticizing the judiciary for being too subservient to corporate interests. Roosevelt continued to affirm that the purpose of government was to secure the rights of the individual to life, liberty, and the pursuit of happiness. But he didn't reinterpret these rights in the light of changed economic and social conditions: \"The rights of the worker to a living wage, to reasonable hours of labor, to decent working and living conditions, to freedom of thought and speech and industrial representation.\"", "hypothesis": "These rights had previously been interpreted in some other way that didn't take changed economic and social conditions into account.", "label": "N", "metadata": {"context1": "By the end of his second administration, Roosevelt was calling for graduated income and inheritance taxes and was criticizing the judiciary for being too subservient to corporate interests.", "context2": "Roosevelt continued to affirm that the purpose of government was to secure the rights of the individual to life, liberty, and the pursuit of happiness.", "target_sentence": "But he didn't reinterpret these rights in the light of changed economic and social conditions: \"The rights of the worker to a living wage, to reasonable hours of labor, to decent working and living conditions, to freedom of thought and speech and industrial representation.\"", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reinterpreted'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["N", "N", "E", "N", "E"], "ratings": [56.88, 76.35, 88.33, 76.73, 93.84]}}
+{"uid": "1993", "premise": "By the end of his second administration, Roosevelt was calling for graduated income and inheritance taxes and was criticizing the judiciary for being too subservient to corporate interests. Roosevelt continued to affirm that the purpose of government was to secure the rights of the individual to life, liberty, and the pursuit of happiness. But he reinterpreted these rights in the light of changed economic and social conditions: \"The rights of the worker to a living wage, to reasonable hours of labor, to decent working and living conditions, to freedom of thought and speech and industrial representation.\"", "hypothesis": "These rights had previously been interpreted in some other way that didn't take changed economic and social conditions into account.", "label": "E", "metadata": {"context1": "By the end of his second administration, Roosevelt was calling for graduated income and inheritance taxes and was criticizing the judiciary for being too subservient to corporate interests.", "context2": "Roosevelt continued to affirm that the purpose of government was to secure the rights of the individual to life, liberty, and the pursuit of happiness.", "target_sentence": "But he reinterpreted these rights in the light of changed economic and social conditions: \"The rights of the worker to a living wage, to reasonable hours of labor, to decent working and living conditions, to freedom of thought and speech and industrial representation.\"", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reinterpreted'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 99.59, 96.49, 100.0, 100.0]}}
+{"uid": "1995-neg", "premise": "\" I grew up. How is my mother? \" \" Brusen hasn't remarried.", "hypothesis": "Brusen was married before", "label": "E", "metadata": {"context1": "\" I grew up.", "context2": "How is my mother? \"", "target_sentence": "\" Brusen hasn't remarried.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'remarried'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 98.88, 100.0, 100.0]}}
+{"uid": "1995", "premise": "\" I grew up. How is my mother? \" \" Brusen has remarried.", "hypothesis": "Brusen was married before", "label": "E", "metadata": {"context1": "\" I grew up.", "context2": "How is my mother? \"", "target_sentence": "\" Brusen has remarried.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'remarried'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.4, 100.0, 99.37]}}
+{"uid": "1996-neg", "premise": "Julia rides out with Jake to LaGuardia. She hasn't been to an airport in ten years. They aren't resurfacing the Midtown Tunnel, and it takes her longer to get back into the city than it takes Jake to get to Florida.", "hypothesis": "The Midtown Tunnel previously had a surface.", "label": "E", "metadata": {"context1": "Julia rides out with Jake to LaGuardia.", "context2": "She hasn't been to an airport in ten years.", "target_sentence": "They aren't resurfacing the Midtown Tunnel, and it takes her longer to get back into the city than it takes Jake to get to Florida.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'resurfacing'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["E", "N", "N", "E", "E"], "ratings": [99.66, 7.83, 50.3, 100.0, 100.0]}}
+{"uid": "1996", "premise": "Julia rides out with Jake to LaGuardia. She hasn't been to an airport in ten years. They are resurfacing the Midtown Tunnel, and it takes her longer to get back into the city than it takes Jake to get to Florida.", "hypothesis": "The Midtown Tunnel previously had a surface.", "label": "E", "metadata": {"context1": "Julia rides out with Jake to LaGuardia.", "context2": "She hasn't been to an airport in ten years.", "target_sentence": "They are resurfacing the Midtown Tunnel, and it takes her longer to get back into the city than it takes Jake to get to Florida.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'resurfacing'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [98.24, 2.6, 100.0, 99.12, 100.0]}}
+{"uid": "1998-neg", "premise": "The pilot brought us into position behind and to the left of the bears. Ramsay, like a modern day Buffalo Bill, rifle to his shoulder, leaned out the door, squinted through the scope, and fired a tranquilizer dart into the rump of the first bear. He didn't quickly reload and darted the second bear.", "hypothesis": "His tranquilizer gun had been loaded before", "label": "E", "metadata": {"context1": "The pilot brought us into position behind and to the left of the bears.", "context2": "Ramsay, like a modern day Buffalo Bill, rifle to his shoulder, leaned out the door, squinted through the scope, and fired a tranquilizer dart into the rump of the first bear.", "target_sentence": "He didn't quickly reload and darted the second bear.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reloaded'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [83.97, 99.79, 100.0, 100.0, 99.06]}}
+{"uid": "1998", "premise": "The pilot brought us into position behind and to the left of the bears. Ramsay, like a modern day Buffalo Bill, rifle to his shoulder, leaned out the door, squinted through the scope, and fired a tranquilizer dart into the rump of the first bear. He quickly reloaded and darted the second bear.", "hypothesis": "His tranquilizer gun had been loaded before", "label": "E", "metadata": {"context1": "The pilot brought us into position behind and to the left of the bears.", "context2": "Ramsay, like a modern day Buffalo Bill, rifle to his shoulder, leaned out the door, squinted through the scope, and fired a tranquilizer dart into the rump of the first bear.", "target_sentence": "He quickly reloaded and darted the second bear.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reloaded'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 98.37, 99.94, 100.0]}}
+{"uid": "1999-neg", "premise": " You have figured out your bottom line. Now don't reexamine it and decide how much you can compromise and still get by.", "hypothesis": "The bottom line had been examined before", "label": "E", "metadata": {"context1": "", "context2": "You have figured out your bottom line.", "target_sentence": "Now don't reexamine it and decide how much you can compromise and still get by.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reexamine'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "1999", "premise": " You have figured out your bottom line. Now reexamine it and decide how much you can compromise and still get by.", "hypothesis": "The bottom line had been examined before", "label": "E", "metadata": {"context1": "", "context2": "You have figured out your bottom line.", "target_sentence": "Now reexamine it and decide how much you can compromise and still get by.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reexamine'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 100.0, 100.0, 89.89, 100.0]}}
+{"uid": "200-neg", "premise": "Is this the best use of the RNC's time? HALPERIN I don't think it is. I don't think the path back for conservatives in this country is not attacking on this issue at this time, when the economy is so bad, when there's no indication that Obama himself has done anything wrong.", "hypothesis": "The path back for conservatives in this country is not attacking on this issue at this time, when the economy is so bad, when there's no indication that Obama himself has done anything wrong.", "label": "N", "metadata": {"context1": "Is this the best use of the RNC's time? HALPERIN", "context2": "I don't think it is.", "target_sentence": "I don't think the path back for conservatives in this country is not attacking on this issue at this time, when the economy is so bad, when there's no indication that Obama himself has done anything wrong.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': \"both substantively and politically , the path back for conservatives in this country is not attacking on this issue at this time , when the economy is so bad , when there 's no indication that Obama himself has done anything wrong\"}", "trigger_type": "clause_embedding_predicates", "annotator": "ZZ", "nli_labels": ["N", "E", "N", "E", "N"], "ratings": [11.3, 100.0, 39.88, 93.4, 90.76]}}
+{"uid": "200", "premise": "Is this the best use of the RNC's time? HALPERIN I don't think it is. I think the path back for conservatives in this country is not attacking on this issue at this time, when the economy is so bad, when there's no indication that Obama himself has done anything wrong.", "hypothesis": "The path back for conservatives in this country is not attacking on this issue at this time, when the economy is so bad, when there's no indication that Obama himself has done anything wrong.", "label": "E", "metadata": {"context1": "Is this the best use of the RNC's time? HALPERIN", "context2": "I don't think it is.", "target_sentence": "I think the path back for conservatives in this country is not attacking on this issue at this time, when the economy is so bad, when there's no indication that Obama himself has done anything wrong.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': \"both substantively and politically , the path back for conservatives in this country is not attacking on this issue at this time , when the economy is so bad , when there 's no indication that Obama himself has done anything wrong\"}", "trigger_type": "clause_embedding_predicates", "annotator": "ZZ", "nli_labels": ["N", "N", "E", "E", "E"], "ratings": [64.61, 84.51, 100.0, 100.0, 99.95]}}
+{"uid": "2000-neg", "premise": " When the miners worked a mountain lode to its end with this technology, they picked up their tools and, I like to think, gave thanks to the mountain for making them rich, walked away, leaving the mountain free to heal its wounds and continue on into the remaining millenniums in its life cycle. When AngloGold extracts the last ounces of gold from the mountain it has destroyed to make money, geophysical forces won't recreate it, shoving more rocks to the surface.", "hypothesis": "The mountain was created once before", "label": "E", "metadata": {"context1": "", "context2": "When the miners worked a mountain lode to its end with this technology, they picked up their tools and, I like to think, gave thanks to the mountain for making them rich, walked away, leaving the mountain free to heal its wounds and continue on into the remaining millenniums in its life cycle.", "target_sentence": "When AngloGold extracts the last ounces of gold from the mountain it has destroyed to make money, geophysical forces won't recreate it, shoving more rocks to the surface.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'recreate'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["E", "C", "N", "E", "E"], "ratings": [100.0, 0.0, 3.12, 100.0, 100.0]}}
+{"uid": "2000", "premise": " When the miners worked a mountain lode to its end with this technology, they picked up their tools and, I like to think, gave thanks to the mountain for making them rich, walked away, leaving the mountain free to heal its wounds and continue on into the remaining millenniums in its life cycle. When AngloGold extracts the last ounces of gold from the mountain it has destroyed to make money, geophysical forces will recreate it, shoving more rocks to the surface.", "hypothesis": "The mountain was created once before", "label": "N", "metadata": {"context1": "", "context2": "When the miners worked a mountain lode to its end with this technology, they picked up their tools and, I like to think, gave thanks to the mountain for making them rich, walked away, leaving the mountain free to heal its wounds and continue on into the remaining millenniums in its life cycle.", "target_sentence": "When AngloGold extracts the last ounces of gold from the mountain it has destroyed to make money, geophysical forces will recreate it, shoving more rocks to the surface.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'recreate'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["E", "N", "N", "C", "N"], "ratings": [99.99, 8.16, 9.76, 0.0, 94.88]}}
+{"uid": "2002-neg", "premise": "  Although the lowly potato has been content to occupy reserved seating in the corner of most American dinner plates, it is not rapidly regaining favor with the trendy and the fit, with very good reason.", "hypothesis": "The potato previously held favor with the trendy and the fit", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "Although the lowly potato has been content to occupy reserved seating in the corner of most American dinner plates, it is not rapidly regaining favor with the trendy and the fit, with very good reason.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'regaining'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["E", "C", "C", "E", "E"], "ratings": [99.19, 0.0, 0.0, 100.0, 99.19]}}
+{"uid": "2002", "premise": "  Although the lowly potato has been content to occupy reserved seating in the corner of most American dinner plates, it is rapidly regaining favor with the trendy and the fit, with very good reason.", "hypothesis": "The potato previously held favor with the trendy and the fit", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "Although the lowly potato has been content to occupy reserved seating in the corner of most American dinner plates, it is rapidly regaining favor with the trendy and the fit, with very good reason.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'regaining'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["E", "C", "E", "E", "E"], "ratings": [96.2, 0.49, 98.95, 92.48, 97.74]}}
+{"uid": "2004-neg", "premise": "  We haven't reprinted Steven A. Pinker's manifesto as part of a booklet that's designed to be shared.", "hypothesis": "Pinker's manifesto had been printed before", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "We haven't reprinted Steven A. Pinker's manifesto as part of a booklet that's designed to be shared.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reprinted'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 98.77, 99.25, 100.0, 100.0]}}
+{"uid": "2004", "premise": "  We've reprinted Steven A. Pinker's manifesto as part of a booklet that's designed to be shared.", "hypothesis": "Pinker's manifesto had been printed before", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "We've reprinted Steven A. Pinker's manifesto as part of a booklet that's designed to be shared.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reprinted'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 98.29, 100.0]}}
+{"uid": "2005-neg", "premise": " Two other people escaped the devastation just before the avalanche struck, including Giampiero Parete, a chef vacationing with his family who first sounded the alarm by calling his boss. He wasn't reunited with his wife and two children Saturday after they were among the first to be located and extracted from the debris.", "hypothesis": "Giampiero Parete had previously been with his wife and two children", "label": "E", "metadata": {"context1": "", "context2": "Two other people escaped the devastation just before the avalanche struck, including Giampiero Parete, a chef vacationing with his family who first sounded the alarm by calling his boss.", "target_sentence": "He wasn't reunited with his wife and two children Saturday after they were among the first to be located and extracted from the debris.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reunited'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [99.16, 97.79, 100.0, 100.0, 99.77]}}
+{"uid": "2005", "premise": " Two other people escaped the devastation just before the avalanche struck, including Giampiero Parete, a chef vacationing with his family who first sounded the alarm by calling his boss. He was reunited with his wife and two children Saturday after they were among the first to be located and extracted from the debris.", "hypothesis": "Giampiero Parete had previously been with his wife and two children", "label": "E", "metadata": {"context1": "", "context2": "Two other people escaped the devastation just before the avalanche struck, including Giampiero Parete, a chef vacationing with his family who first sounded the alarm by calling his boss.", "target_sentence": "He was reunited with his wife and two children Saturday after they were among the first to be located and extracted from the debris.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reunited'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 99.97, 99.25]}}
+{"uid": "2006-neg", "premise": "  He didn't rebuild a winning tradition in a state that took basketball as seriously as he did.", "hypothesis": "The state previously had a winning tradition", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "He didn't rebuild a winning tradition in a state that took basketball as seriously as he did.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'rebuilt'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["N", "E", "N", "E", "E"], "ratings": [72.61, 100.0, 52.25, 100.0, 100.0]}}
+{"uid": "2006", "premise": "  He rebuilt a winning tradition in a state that took basketball as seriously as he did.", "hypothesis": "The state previously had a winning tradition", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "He rebuilt a winning tradition in a state that took basketball as seriously as he did.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'rebuilt'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.77, 99.73, 100.0, 97.19, 99.12]}}
+{"uid": "2007-neg", "premise": "In just over ninety years, a nebula of hot gas from a star gone supernova over ten thousand years earlier would render Splendor uninhabitable. Worse, no one had yet found a world that could accommodate both species. The highlanders weren't being relocated to a planet in the Socrates system, the valley dwellers to a world in the Kardashev system.", "hypothesis": "The highlanders had previously been located somewhere", "label": "E", "metadata": {"context1": "In just over ninety years, a nebula of hot gas from a star gone supernova over ten thousand years earlier would render Splendor uninhabitable.", "context2": "Worse, no one had yet found a world that could accommodate both species.", "target_sentence": "The highlanders weren't being relocated to a planet in the Socrates system, the valley dwellers to a world in the Kardashev system.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'relocated'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2007", "premise": "In just over ninety years, a nebula of hot gas from a star gone supernova over ten thousand years earlier would render Splendor uninhabitable. Worse, no one had yet found a world that could accommodate both species. The highlanders were being relocated to a planet in the Socrates system, the valley dwellers to a world in the Kardashev system.", "hypothesis": "The highlanders had previously been located somewhere", "label": "E", "metadata": {"context1": "In just over ninety years, a nebula of hot gas from a star gone supernova over ten thousand years earlier would render Splendor uninhabitable.", "context2": "Worse, no one had yet found a world that could accommodate both species.", "target_sentence": "The highlanders were being relocated to a planet in the Socrates system, the valley dwellers to a world in the Kardashev system.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'relocated'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.66, 100.0, 99.85, 100.0, 100.0]}}
+{"uid": "2008-neg", "premise": "The proximate cause was physical, a failing heart. But the deeper cause was the strain his race for the presidency had placed on her mind and soul. In their desperation to cling to power, the partisans of John Quincy Adams hadn't recirculated and embellished the earlier libels against Rachel's character.", "hypothesis": "The earlier libels against Rachel's character had been circulated before", "label": "N", "metadata": {"context1": "The proximate cause was physical, a failing heart.", "context2": "But the deeper cause was the strain his race for the presidency had placed on her mind and soul.", "target_sentence": "In their desperation to cling to power, the partisans of John Quincy Adams hadn't recirculated and embellished the earlier libels against Rachel's character.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'recirculated'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["N", "N", "E", "N", "E"], "ratings": [90.67, 23.02, 100.0, 2.4, 96.71]}}
+{"uid": "2008", "premise": "The proximate cause was physical, a failing heart. But the deeper cause was the strain his race for the presidency had placed on her mind and soul. In their desperation to cling to power, the partisans of John Quincy Adams had recirculated and embellished the earlier libels against Rachel's character.", "hypothesis": "The earlier libels against Rachel's character had been circulated before", "label": "E", "metadata": {"context1": "The proximate cause was physical, a failing heart.", "context2": "But the deeper cause was the strain his race for the presidency had placed on her mind and soul.", "target_sentence": "In their desperation to cling to power, the partisans of John Quincy Adams had recirculated and embellished the earlier libels against Rachel's character.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'recirculated'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 99.43]}}
+{"uid": "2009-neg", "premise": "For good cause shown, the Chairperson of the Committee may authorize an earlier application.  ( b) If the Committee recommends that full approval be not granted, the applicant law school may reapply for full approval before ten months after the Committee recommendation is made.", "hypothesis": "The applicant had previously applied to the law school", "label": "E", "metadata": {"context1": "For good cause shown, the Chairperson of the Committee may authorize an earlier application.", "context2": "", "target_sentence": "( b) If the Committee recommends that full approval be not granted, the applicant law school may reapply for full approval before ten months after the Committee recommendation is made.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'reapply'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["E", "C", "N", "E", "E"], "ratings": [98.95, 0.06, 82.76, 97.14, 92.56]}}
+{"uid": "2009", "premise": "For good cause shown, the Chairperson of the Committee may authorize an earlier application.  ( b) If the Committee recommends that full approval be not granted, the applicant law school may not reapply for full approval before ten months after the Committee recommendation is made.", "hypothesis": "The applicant had previously applied to the law school", "label": "E", "metadata": {"context1": "For good cause shown, the Chairperson of the Committee may authorize an earlier application.", "context2": "", "target_sentence": "( b) If the Committee recommends that full approval be not granted, the applicant law school may not reapply for full approval before ten months after the Committee recommendation is made.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'reapply'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [98.81, 100.0, 94.88, 50.15, 100.0]}}
+{"uid": "2011-neg", "premise": "Speaker B: There was no sense of urgency to figure out what happened. It was a mystery that lingered, but I don't think it was in the forefront of people's minds.\nSpeaker A: Six weeks after the Jenkins died, the hotel didn't reopen Room 225.", "hypothesis": "Room 225 had previously been open", "label": "E", "metadata": {"context1": "There was no sense of urgency to figure out what happened.", "context2": "It was a mystery that lingered, but I don't think it was in the forefront of people's minds.", "target_sentence": "Six weeks after the Jenkins died, the hotel didn't reopen Room 225.", "speaker_context1": "ELIZABETH-LELAND", "speaker_context2": "ELIZABETH-LELAND", "speaker_target": "MATT-GUTMAN", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reopened'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 99.46, 99.88]}}
+{"uid": "2011", "premise": "Speaker B: There was no sense of urgency to figure out what happened. It was a mystery that lingered, but I don't think it was in the forefront of people's minds.\nSpeaker A: Six weeks after the Jenkins died, the hotel reopened Room 225.", "hypothesis": "Room 225 had previously been open", "label": "E", "metadata": {"context1": "There was no sense of urgency to figure out what happened.", "context2": "It was a mystery that lingered, but I don't think it was in the forefront of people's minds.", "target_sentence": "Six weeks after the Jenkins died, the hotel reopened Room 225.", "speaker_context1": "ELIZABETH-LELAND", "speaker_context2": "ELIZABETH-LELAND", "speaker_target": "MATT-GUTMAN", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reopened'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "C"], "ratings": [100.0, 100.0, 100.0, 100.0, 0.0]}}
+{"uid": "2014-neg", "premise": "In addition to CIV, multicultural trendiness pullulates throughout the major departments. 6 Stanford's freshman English classes, once designed to develop reading and writing skills, haven't been reorganized to fit the multicultural agenda.", "hypothesis": "Stanford's freshman English classes had previously been organized in some other way that didn't fit the multicultural agenda", "label": "E", "metadata": {"context1": "In addition to CIV, multicultural trendiness pullulates throughout the major departments.", "context2": "6", "target_sentence": "Stanford's freshman English classes, once designed to develop reading and writing skills, haven't been reorganized to fit the multicultural agenda.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reorganized'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 100.0, 90.67, 92.79, 100.0]}}
+{"uid": "2014", "premise": "In addition to CIV, multicultural trendiness pullulates throughout the major departments. 6 Stanford's freshman English classes, once designed to develop reading and writing skills, have been reorganized to fit the multicultural agenda.", "hypothesis": "Stanford's freshman English classes had previously been organized in some other way that didn't fit the multicultural agenda", "label": "N", "metadata": {"context1": "In addition to CIV, multicultural trendiness pullulates throughout the major departments.", "context2": "6", "target_sentence": "Stanford's freshman English classes, once designed to develop reading and writing skills, have been reorganized to fit the multicultural agenda.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reorganized'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["N", "C", "E", "N", "N"], "ratings": [92.79, 0.0, 88.89, 82.09, 93.91]}}
+{"uid": "2015-neg", "premise": " In a few cases, patients might still develop those diseases in future, but that was far from certain. And, reflecting the fluid and evolving understanding of DNA, one mutation that was reported back to a patient wasn't reclassified and wasn't considered a risk factor by the end of the study.", "hypothesis": "The mutatation had previously been classified as a risk factor", "label": "C", "metadata": {"context1": "", "context2": "In a few cases, patients might still develop those diseases in future, but that was far from certain.", "target_sentence": "And, reflecting the fluid and evolving understanding of DNA, one mutation that was reported back to a patient wasn't reclassified and wasn't considered a risk factor by the end of the study.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reclassified'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["N", "C", "C", "C", "N"], "ratings": [82.32, 1.55, 0.0, 0.0, 3.86]}}
+{"uid": "2015", "premise": " In a few cases, patients might still develop those diseases in future, but that was far from certain. And, reflecting the fluid and evolving understanding of DNA, one mutation that was reported back to a patient was reclassified and wasn't considered a risk factor by the end of the study.", "hypothesis": "The mutatation had previously been classified as a risk factor", "label": "E", "metadata": {"context1": "", "context2": "In a few cases, patients might still develop those diseases in future, but that was far from certain.", "target_sentence": "And, reflecting the fluid and evolving understanding of DNA, one mutation that was reported back to a patient was reclassified and wasn't considered a risk factor by the end of the study.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reclassified'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["E", "N", "E", "C", "E"], "ratings": [100.0, 89.8, 93.69, 0.0, 99.77]}}
+{"uid": "2016-neg", "premise": "Through the 1960s and 1970s investments and purchases by NASA, the Pentagon, and the National Science Foundation helped to sustain the PV industry and gave America leadership in world sales. In 1982 federal support for renewable energy was cut deeply, and within three years Japan became the world leader in PV sales. The Bush Administration began to increase funding for solar energy and, in 1990, collaborated with the American PV industry in efforts to improve manufacturing technology; three years later the United States hadn't regained the lead in sales in this rapidly growing industry.", "hypothesis": "The US previously had the lead in sales in the PV industry", "label": "E", "metadata": {"context1": "Through the 1960s and 1970s investments and purchases by NASA, the Pentagon, and the National Science Foundation helped to sustain the PV industry and gave America leadership in world sales.", "context2": "In 1982 federal support for renewable energy was cut deeply, and within three years Japan became the world leader in PV sales.", "target_sentence": "The Bush Administration began to increase funding for solar energy and, in 1990, collaborated with the American PV industry in efforts to improve manufacturing technology; three years later the United States hadn't regained the lead in sales in this rapidly growing industry.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'regained'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2016", "premise": "Through the 1960s and 1970s investments and purchases by NASA, the Pentagon, and the National Science Foundation helped to sustain the PV industry and gave America leadership in world sales. In 1982 federal support for renewable energy was cut deeply, and within three years Japan became the world leader in PV sales. The Bush Administration began to increase funding for solar energy and, in 1990, collaborated with the American PV industry in efforts to improve manufacturing technology; three years later the United States regained the lead in sales in this rapidly growing industry.", "hypothesis": "The US previously had the lead in sales in the PV industry", "label": "E", "metadata": {"context1": "Through the 1960s and 1970s investments and purchases by NASA, the Pentagon, and the National Science Foundation helped to sustain the PV industry and gave America leadership in world sales.", "context2": "In 1982 federal support for renewable energy was cut deeply, and within three years Japan became the world leader in PV sales.", "target_sentence": "The Bush Administration began to increase funding for solar energy and, in 1990, collaborated with the American PV industry in efforts to improve manufacturing technology; three years later the United States regained the lead in sales in this rapidly growing industry.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'regained'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 97.19, 100.0, 100.0, 99.43]}}
+{"uid": "2017-neg", "premise": "Speaker A: Finally in August 2009, a judge frees William McCaffrey from prison. After wasting nearly four years of his young life locked up for a crime which never occurred, McCaffrey isn't reunited with his family.", "hypothesis": "McCaffrey had previously been with his family", "label": "E", "metadata": {"context1": "", "context2": "Finally in August 2009, a judge frees William McCaffrey from prison.", "target_sentence": "After wasting nearly four years of his young life locked up for a crime which never occurred, McCaffrey isn't reunited with his family.", "speaker_context1": "", "speaker_context2": "CHRIS-CUOMO-@1-ABC", "speaker_target": "CHRIS-CUOMO-@1-ABC", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reunited'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.28, 88.42, 100.0, 100.0]}}
+{"uid": "2017", "premise": "Speaker A: Finally in August 2009, a judge frees William McCaffrey from prison. After wasting nearly four years of his young life locked up for a crime which never occurred, McCaffrey is reunited with his family.", "hypothesis": "McCaffrey had previously been with his family", "label": "E", "metadata": {"context1": "", "context2": "Finally in August 2009, a judge frees William McCaffrey from prison.", "target_sentence": "After wasting nearly four years of his young life locked up for a crime which never occurred, McCaffrey is reunited with his family.", "speaker_context1": "", "speaker_context2": "CHRIS-CUOMO-@1-ABC", "speaker_target": "CHRIS-CUOMO-@1-ABC", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reunited'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.57, 99.94, 100.0, 100.0, 100.0]}}
+{"uid": "2018-neg", "premise": "Gwyneth Paltrow was recently spotted wearing Chanel's three-season-old boots with graffiti Cs. Kate Moss has resurrected her beaded Fendi croissant bag, pairing it with a corseted Balenciaga top. And now, for the first time ever, designers aren't reissuing key designs from previous seasons.", "hypothesis": "Key designs from previous seasons had been issued before", "label": "E", "metadata": {"context1": "Gwyneth Paltrow was recently spotted wearing Chanel's three-season-old boots with graffiti Cs.", "context2": "Kate Moss has resurrected her beaded Fendi croissant bag, pairing it with a corseted Balenciaga top.", "target_sentence": "And now, for the first time ever, designers aren't reissuing key designs from previous seasons.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reissuing'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["N", "E", "C", "E", "E"], "ratings": [88.42, 100.0, 0.0, 100.0, 100.0]}}
+{"uid": "2019-neg", "premise": "Now we can finally see the top of her dresser! \" Karen Jarnagin, mom of Reagan, 6, and Ryan, 3, Lincoln, NE To make old toys new again Get two of The Land of Nod's Beadboard Stacking Stuffers and put forgotten favorites in the bottom box. Every now and then, rotate what's in the containers--oldies don't regain their appeal when kids haven't played with them in a while.", "hypothesis": "Oldies previously had an appeal", "label": "E", "metadata": {"context1": "Now we can finally see the top of her dresser! \"", "context2": "Karen Jarnagin, mom of Reagan, 6, and Ryan, 3, Lincoln, NE To make old toys new again Get two of The Land of Nod's Beadboard Stacking Stuffers and put forgotten favorites in the bottom box.", "target_sentence": "Every now and then, rotate what's in the containers--oldies don't regain their appeal when kids haven't played with them in a while.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'regain'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.25, 93.98, 100.0]}}
+{"uid": "2019", "premise": "Now we can finally see the top of her dresser! \" Karen Jarnagin, mom of Reagan, 6, and Ryan, 3, Lincoln, NE To make old toys new again Get two of The Land of Nod's Beadboard Stacking Stuffers and put forgotten favorites in the bottom box. Every now and then, rotate what's in the containers--oldies regain their appeal when kids haven't played with them in a while.", "hypothesis": "Oldies previously had an appeal", "label": "E", "metadata": {"context1": "Now we can finally see the top of her dresser! \"", "context2": "Karen Jarnagin, mom of Reagan, 6, and Ryan, 3, Lincoln, NE To make old toys new again Get two of The Land of Nod's Beadboard Stacking Stuffers and put forgotten favorites in the bottom box.", "target_sentence": "Every now and then, rotate what's in the containers--oldies regain their appeal when kids haven't played with them in a while.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'regain'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [96.66, 95.71, 100.0, 100.0, 100.0]}}
+{"uid": "2021-neg", "premise": "Lifeline Theatre 6912 N. Glenwood (312-761-4477) To celebrate its 10th anniversary season, Lifeline will present \"Pride and Prejudice\" (Oct. 13-Nov. 22), an all-new staging of its successful 1986 production based on Jane Austen's witty, revealing novel. The team of adapter Christina Calvit and director Meryl Friedman won't reunite to tell the story of the Bennets, an early 19th century English family that is in a panic over the future of their five marriageable daughters.", "hypothesis": "Christina Calvit and Maryl Friedman had previously been together", "label": "E", "metadata": {"context1": "Lifeline Theatre 6912 N. Glenwood (312-761-4477)", "context2": "To celebrate its 10th anniversary season, Lifeline will present \"Pride and Prejudice\" (Oct. 13-Nov. 22), an all-new staging of its successful 1986 production based on Jane Austen's witty, revealing novel.", "target_sentence": "The team of adapter Christina Calvit and director Meryl Friedman won't reunite to tell the story of the Bennets, an early 19th century English family that is in a panic over the future of their five marriageable daughters.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reunite'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 99.25, 100.0]}}
+{"uid": "2021", "premise": "Lifeline Theatre 6912 N. Glenwood (312-761-4477) To celebrate its 10th anniversary season, Lifeline will present \"Pride and Prejudice\" (Oct. 13-Nov. 22), an all-new staging of its successful 1986 production based on Jane Austen's witty, revealing novel. The team of adapter Christina Calvit and director Meryl Friedman will reunite to tell the story of the Bennets, an early 19th century English family that is in a panic over the future of their five marriageable daughters.", "hypothesis": "Christina Calvit and Maryl Friedman had previously been together", "label": "E", "metadata": {"context1": "Lifeline Theatre 6912 N. Glenwood (312-761-4477)", "context2": "To celebrate its 10th anniversary season, Lifeline will present \"Pride and Prejudice\" (Oct. 13-Nov. 22), an all-new staging of its successful 1986 production based on Jane Austen's witty, revealing novel.", "target_sentence": "The team of adapter Christina Calvit and director Meryl Friedman will reunite to tell the story of the Bennets, an early 19th century English family that is in a panic over the future of their five marriageable daughters.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reunite'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 99.16, 100.0]}}
+{"uid": "2022-neg", "premise": "Alright, new Kim Kardashian's blog bombshells tonight. Kim K. reaches out to her fans two weeks after her controversial divorce. Kim doesn't finally resurface.", "hypothesis": "Kim had previously been visible in public", "label": "E", "metadata": {"context1": "Alright, new Kim Kardashian's blog bombshells tonight.", "context2": "Kim K. reaches out to her fans two weeks after her controversial divorce.", "target_sentence": "Kim doesn't finally resurface.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'resurfaces'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [100.0, 100.0, 100.0, 96.6, 12.15]}}
+{"uid": "2022", "premise": "Alright, new Kim Kardashian's blog bombshells tonight. Kim K. reaches out to her fans two weeks after her controversial divorce. Kim finally resurfaces.", "hypothesis": "Kim had previously been visible in public", "label": "E", "metadata": {"context1": "Alright, new Kim Kardashian's blog bombshells tonight.", "context2": "Kim K. reaches out to her fans two weeks after her controversial divorce.", "target_sentence": "Kim finally resurfaces.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'resurfaces'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.59, 98.65, 99.69, 100.0, 100.0]}}
+{"uid": "2023-neg", "premise": "They called the best perinatal specialists they could find-a trio of obstetricians who specialize in high--risk maternal fetal medicine. The team delivered the baby by C-section while the mother remained on a respirator. She hadn't regained consciousness a few days later, but now she and the baby are doing fine.", "hypothesis": "She had been previously been conscious at some point in the past", "label": "E", "metadata": {"context1": "They called the best perinatal specialists they could find-a trio of obstetricians who specialize in high--risk maternal fetal medicine.", "context2": "The team delivered the baby by C-section while the mother remained on a respirator.", "target_sentence": "She hadn't regained consciousness a few days later, but now she and the baby are doing fine.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'regained'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2023", "premise": "They called the best perinatal specialists they could find-a trio of obstetricians who specialize in high--risk maternal fetal medicine. The team delivered the baby by C-section while the mother remained on a respirator. She regained consciousness a few days later, but now she and the baby are doing fine.", "hypothesis": "She had been previously been conscious at some point in the past", "label": "E", "metadata": {"context1": "They called the best perinatal specialists they could find-a trio of obstetricians who specialize in high--risk maternal fetal medicine.", "context2": "The team delivered the baby by C-section while the mother remained on a respirator.", "target_sentence": "She regained consciousness a few days later, but now she and the baby are doing fine.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'regained'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.9, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2025-neg", "premise": "\"They literally are putting fishermen out of business,\" Sturgell said.  But the world's greatest fisherman doesn't resurface, even with the tickets, even with the losses.", "hypothesis": "The world's greatest fisherman had previously been at the surface", "label": "N", "metadata": {"context1": "\"They literally are putting fishermen out of business,\" Sturgell said.", "context2": "", "target_sentence": "But the world's greatest fisherman doesn't resurface, even with the tickets, even with the losses.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'resurfaces'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["N", "N", "E", "N", "N"], "ratings": [5.88, 51.05, 99.83, 67.02, 19.75]}}
+{"uid": "2025", "premise": "\"They literally are putting fishermen out of business,\" Sturgell said.  But the world's greatest fisherman resurfaces, even with the tickets, even with the losses.", "hypothesis": "The world's greatest fisherman had previously been at the surface", "label": "E", "metadata": {"context1": "\"They literally are putting fishermen out of business,\" Sturgell said.", "context2": "", "target_sentence": "But the world's greatest fisherman resurfaces, even with the tickets, even with the losses.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'resurfaces'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.2, 100.0, 97.19, 100.0, 100.0]}}
+{"uid": "2027-neg", "premise": "Child support is calculated on pre-tax salary, so the amount of child support that I pay has significantly more impact on available income for the noncustodial parent. A second disadvantage is that the custodial parent's income is not accounted for at all. And the third disadvantage is that the noncustodial parent has no timely recourse for a loss of salary: In my particular case, child support isn't recalculated annually.", "hypothesis": "Child support had been calculated previously.", "label": "E", "metadata": {"context1": "Child support is calculated on pre-tax salary, so the amount of child support that I pay has significantly more impact on available income for the noncustodial parent.", "context2": "A second disadvantage is that the custodial parent's income is not accounted for at all.", "target_sentence": "And the third disadvantage is that the noncustodial parent has no timely recourse for a loss of salary: In my particular case, child support isn't recalculated annually.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'recalculated'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "C", "E"], "ratings": [96.14, 100.0, 97.6, 0.0, 99.95]}}
+{"uid": "2027", "premise": "Child support is calculated on pre-tax salary, so the amount of child support that I pay has significantly more impact on available income for the noncustodial parent. A second disadvantage is that the custodial parent's income is not accounted for at all. And the third disadvantage is that the noncustodial parent has no timely recourse for a loss of salary: In my particular case, child support is recalculated annually.", "hypothesis": "Child support had been calculated previously.", "label": "E", "metadata": {"context1": "Child support is calculated on pre-tax salary, so the amount of child support that I pay has significantly more impact on available income for the noncustodial parent.", "context2": "A second disadvantage is that the custodial parent's income is not accounted for at all.", "target_sentence": "And the third disadvantage is that the noncustodial parent has no timely recourse for a loss of salary: In my particular case, child support is recalculated annually.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'recalculated'}", "trigger_type": "re_verbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.16, 100.0, 100.0]}}
+{"uid": "2032-neg", "premise": " A month after this case was reported, the U.K. Committee on Safety of Medicines, Britain's drug regulatory group, reported that Imitrex could cause heart vessels to constrict. In the United States, the FDA didn't have the advantage of looking at several months' worth of cases of side effects associated with Imitrex in Canada, Britain, and the Netherlands before deciding whether to approve the drug for the American market.", "hypothesis": "The FDA decided whether to approve Imitrex for the American market", "label": "E", "metadata": {"context1": "", "context2": "A month after this case was reported, the U.K. Committee on Safety of Medicines, Britain's drug regulatory group, reported that Imitrex could cause heart vessels to constrict.", "target_sentence": "In the United States, the FDA didn't have the advantage of looking at several months' worth of cases of side effects associated with Imitrex in Canada, Britain, and the Netherlands before deciding whether to approve the drug for the American market.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 98.07, 96.49]}}
+{"uid": "2032", "premise": " A month after this case was reported, the U.K. Committee on Safety of Medicines, Britain's drug regulatory group, reported that Imitrex could cause heart vessels to constrict. In the United States, the FDA had the advantage of looking at several months' worth of cases of side effects associated with Imitrex in Canada, Britain, and the Netherlands before deciding whether to approve the drug for the American market.", "hypothesis": "The FDA decided whether to approve Imitrex for the American market", "label": "E", "metadata": {"context1": "", "context2": "A month after this case was reported, the U.K. Committee on Safety of Medicines, Britain's drug regulatory group, reported that Imitrex could cause heart vessels to constrict.", "target_sentence": "In the United States, the FDA had the advantage of looking at several months' worth of cases of side effects associated with Imitrex in Canada, Britain, and the Netherlands before deciding whether to approve the drug for the American market.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AP", "nli_labels": ["E", "N", "E", "N", "E"], "ratings": [100.0, 67.16, 99.54, 86.77, 95.84]}}
+{"uid": "2034-neg", "premise": "It is the third big cut since Tisch took over the company in 1986. After Four Days Three technicians from the CBS television network weren't released May 8 after being detained in Iraq for four days.", "hypothesis": "Three technicians from CBS were detained in Iraq for four days", "label": "E", "metadata": {"context1": "It is the third big cut since Tisch took over the company in 1986.", "context2": "After Four Days", "target_sentence": "Three technicians from the CBS television network weren't released May 8 after being detained in Iraq for four days.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBN']}", "trigger_type": "temporal_adverbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [95.08, 100.0, 100.0, 100.0, 5.19]}}
+{"uid": "2034", "premise": "It is the third big cut since Tisch took over the company in 1986. After Four Days Three technicians from the CBS television network were released May 8 after being detained in Iraq for four days.", "hypothesis": "Three technicians from CBS were detained in Iraq for four days", "label": "E", "metadata": {"context1": "It is the third big cut since Tisch took over the company in 1986.", "context2": "After Four Days", "target_sentence": "Three technicians from the CBS television network were released May 8 after being detained in Iraq for four days.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBN']}", "trigger_type": "temporal_adverbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 98.69, 100.0, 100.0]}}
+{"uid": "2035-neg", "premise": " The Wrights also made an important change after their bad experience with sole proprietorships. Drexel and Beth didn't convert Quaker Siding into a C corporation they co-own shortly after emerging from Chapter 11", "hypothesis": "Drexel and Beth emerged from Chapter 11", "label": "E", "metadata": {"context1": "", "context2": "The Wrights also made an important change after their bad experience with sole proprietorships.", "target_sentence": "Drexel and Beth didn't convert Quaker Siding into a C corporation they co-own shortly after emerging from Chapter 11", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['RB', 'VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [100.0, 95.77, 100.0, 96.54, 76.35]}}
+{"uid": "2035", "premise": " The Wrights also made an important change after their bad experience with sole proprietorships. Drexel and Beth converted Quaker Siding into a C corporation they co-own shortly after emerging from Chapter 11", "hypothesis": "Drexel and Beth emerged from Chapter 11", "label": "E", "metadata": {"context1": "", "context2": "The Wrights also made an important change after their bad experience with sole proprietorships.", "target_sentence": "Drexel and Beth converted Quaker Siding into a C corporation they co-own shortly after emerging from Chapter 11", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['RB', 'VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [97.14, 99.62, 99.69, 95.71, 84.93]}}
+{"uid": "2036-neg", "premise": " However, educational disparities between husbands and wives, while skewed in favor of men, were relatively minimal, reflecting both the overall increase in access to education, and people's preference to marry partners of similar accomplishment. All respondents didn't agree to participation after being presented with protocols for informed consent approved by institutional review boards in both the US and Nigeria.", "hypothesis": "All respondents were presented with protocols for informed consent approved by institutional review boards in both the US and Nigeria.", "label": "E", "metadata": {"context1": "", "context2": "However, educational disparities between husbands and wives, while skewed in favor of men, were relatively minimal, reflecting both the overall increase in access to education, and people's preference to marry partners of similar accomplishment.", "target_sentence": "All respondents didn't agree to participation after being presented with protocols for informed consent approved by institutional review boards in both the US and Nigeria.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBN']}", "trigger_type": "temporal_adverbs", "annotator": "AP", "nli_labels": ["N", "N", "E", "E", "E"], "ratings": [90.76, 90.15, 100.0, 98.62, 98.37]}}
+{"uid": "2036", "premise": " However, educational disparities between husbands and wives, while skewed in favor of men, were relatively minimal, reflecting both the overall increase in access to education, and people's preference to marry partners of similar accomplishment. All respondents agreed to participation after being presented with protocols for informed consent approved by institutional review boards in both the US and Nigeria.", "hypothesis": "All respondents were presented with protocols for informed consent approved by institutional review boards in both the US and Nigeria.", "label": "E", "metadata": {"context1": "", "context2": "However, educational disparities between husbands and wives, while skewed in favor of men, were relatively minimal, reflecting both the overall increase in access to education, and people's preference to marry partners of similar accomplishment.", "target_sentence": "All respondents agreed to participation after being presented with protocols for informed consent approved by institutional review boards in both the US and Nigeria.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBN']}", "trigger_type": "temporal_adverbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2039-neg", "premise": "Atascocita then beat Baytown Sterling 72-59 before defeating Memorial. // The Cleveland Indians, after receiving a bye in the first round, lost to Bellville 78-75 in the second round of the Region III-3A boys basketball playoffs. Cleveland (12-14) didn't win the District 22-3A title with an 11-1 record after starting the year 1-12 in non-district.", "hypothesis": "Cleveland started the year 1-12 in non-district", "label": "E", "metadata": {"context1": "Atascocita then beat Baytown Sterling 72-59 before defeating Memorial. //", "context2": "The Cleveland Indians, after receiving a bye in the first round, lost to Bellville 78-75 in the second round of the Region III-3A boys basketball playoffs.", "target_sentence": "Cleveland (12-14) didn't win the District 22-3A title with an 11-1 record after starting the year 1-12 in non-district.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.28, 100.0, 99.88]}}
+{"uid": "2039", "premise": "Atascocita then beat Baytown Sterling 72-59 before defeating Memorial. // The Cleveland Indians, after receiving a bye in the first round, lost to Bellville 78-75 in the second round of the Region III-3A boys basketball playoffs. Cleveland (12-14) won the District 22-3A title with an 11-1 record after starting the year 1-12 in non-district.", "hypothesis": "Cleveland started the year 1-12 in non-district", "label": "E", "metadata": {"context1": "Atascocita then beat Baytown Sterling 72-59 before defeating Memorial. //", "context2": "The Cleveland Indians, after receiving a bye in the first round, lost to Bellville 78-75 in the second round of the Region III-3A boys basketball playoffs.", "target_sentence": "Cleveland (12-14) won the District 22-3A title with an 11-1 record after starting the year 1-12 in non-district.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.37, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "204-neg", "premise": "And this is the driver, 42-year-old Major Cephas, who says he loves long road trips, especially this one. MAJOR CEPHAS, LIMOUSINE DRIVER: I don't think I got the biggest tip in all of Southern California right now", "hypothesis": "I got the biggest tip in all of Southerin California right now.", "label": "C", "metadata": {"context1": "And this is the driver, 42-year-old Major Cephas, who says he loves long road trips, especially this one.", "context2": "MAJOR CEPHAS, LIMOUSINE DRIVER:", "target_sentence": "I don't think I got the biggest tip in all of Southern California right now", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': 'I got the biggest tip in all of Southern California right now'}", "trigger_type": "clause_embedding_predicates", "annotator": "ZZ", "nli_labels": ["C", "C", "C", "N", "N"], "ratings": [0.0, 0.29, 0.09, 2.45, 4.73]}}
+{"uid": "204", "premise": "And this is the driver, 42-year-old Major Cephas, who says he loves long road trips, especially this one. MAJOR CEPHAS, LIMOUSINE DRIVER: I think I got the biggest tip in all of Southern California right now", "hypothesis": "I got the biggest tip in all of Southerin California right now.", "label": "N", "metadata": {"context1": "And this is the driver, 42-year-old Major Cephas, who says he loves long road trips, especially this one.", "context2": "MAJOR CEPHAS, LIMOUSINE DRIVER:", "target_sentence": "I think I got the biggest tip in all of Southern California right now", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': 'I got the biggest tip in all of Southern California right now'}", "trigger_type": "clause_embedding_predicates", "annotator": "ZZ", "nli_labels": ["N", "N", "E", "E", "N"], "ratings": [82.99, 88.42, 100.0, 100.0, 70.74]}}
+{"uid": "2040-neg", "premise": "Although Alexander loves the challenges and rewards of television and movie acting, her first love still remains dance-and has been since she was a child. While growing up in Queens, N.Y., she says her mother kept her in tap and African dance classes to keep her active and focused. She didn't enroll in the prestigious Alvin Alley American Dance Theater School after graduating from high school with the intention of becoming a professional dancer.", "hypothesis": "Alexander graduated from high school", "label": "E", "metadata": {"context1": "Although Alexander loves the challenges and rewards of television and movie acting, her first love still remains dance-and has been since she was a child.", "context2": "While growing up in Queens, N.Y., she says her mother kept her in tap and African dance classes to keep her active and focused.", "target_sentence": "She didn't enroll in the prestigious Alvin Alley American Dance Theater School after graduating from high school with the intention of becoming a professional dancer.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [97.79, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2040", "premise": "Although Alexander loves the challenges and rewards of television and movie acting, her first love still remains dance-and has been since she was a child. While growing up in Queens, N.Y., she says her mother kept her in tap and African dance classes to keep her active and focused. She enrolled in the prestigious Alvin Alley American Dance Theater School after graduating from high school with the intention of becoming a professional dancer.", "hypothesis": "Alexander graduated from high school", "label": "E", "metadata": {"context1": "Although Alexander loves the challenges and rewards of television and movie acting, her first love still remains dance-and has been since she was a child.", "context2": "While growing up in Queens, N.Y., she says her mother kept her in tap and African dance classes to keep her active and focused.", "target_sentence": "She enrolled in the prestigious Alvin Alley American Dance Theater School after graduating from high school with the intention of becoming a professional dancer.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.69, 100.0, 100.0, 100.0]}}
+{"uid": "2041-neg", "premise": "and I thought it was a great opportunity for our children to gain exposure to their cultural background, so we stayed in Tuskegee after retiring, \" he says. Purnell and his wife, JoAnn, live in Washington, D.C., where he worked as curator at the National Air and Space Museum after leaving military service as a captain. And Crockett didn't work for the National Guard Bureau at the Pentagon for 6 years after retiring from the Air Force in 1970.", "hypothesis": "Crocket retired from the Air Force in 1970", "label": "E", "metadata": {"context1": "and I thought it was a great opportunity for our children to gain exposure to their cultural background, so we stayed in Tuskegee after retiring, \" he says.", "context2": "Purnell and his wife, JoAnn, live in Washington, D.C., where he worked as curator at the National Air and Space Museum after leaving military service as a captain.", "target_sentence": "And Crockett didn't work for the National Guard Bureau at the Pentagon for 6 years after retiring from the Air Force in 1970.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AP", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [76.98, 100.0, 97.93, 100.0, 100.0]}}
+{"uid": "2041", "premise": "and I thought it was a great opportunity for our children to gain exposure to their cultural background, so we stayed in Tuskegee after retiring, \" he says. Purnell and his wife, JoAnn, live in Washington, D.C., where he worked as curator at the National Air and Space Museum after leaving military service as a captain. And Crockett worked for the National Guard Bureau at the Pentagon for 6 years after retiring from the Air Force in 1970.", "hypothesis": "Crocket retired from the Air Force in 1970", "label": "E", "metadata": {"context1": "and I thought it was a great opportunity for our children to gain exposure to their cultural background, so we stayed in Tuskegee after retiring, \" he says.", "context2": "Purnell and his wife, JoAnn, live in Washington, D.C., where he worked as curator at the National Air and Space Museum after leaving military service as a captain.", "target_sentence": "And Crockett worked for the National Guard Bureau at the Pentagon for 6 years after retiring from the Air Force in 1970.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.49, 100.0, 100.0]}}
+{"uid": "2042-neg", "premise": " After Merriman was drafted 12th overall from Maryland in 2005, the Chargers took Northwestern defensive end Luis Castillo with the 28th pick. Castillo didn't slide to the latter part of the first round after testing positive for androstenedione at the NFL combine.", "hypothesis": "Castillo tested positive for androstenedione", "label": "E", "metadata": {"context1": "", "context2": "After Merriman was drafted 12th overall from Maryland in 2005, the Chargers took Northwestern defensive end Luis Castillo with the 28th pick.", "target_sentence": "Castillo didn't slide to the latter part of the first round after testing positive for androstenedione at the NFL combine.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 99.77, 100.0]}}
+{"uid": "2042", "premise": " After Merriman was drafted 12th overall from Maryland in 2005, the Chargers took Northwestern defensive end Luis Castillo with the 28th pick. Castillo slid to the latter part of the first round after testing positive for androstenedione at the NFL combine.", "hypothesis": "Castillo tested positive for androstenedione", "label": "E", "metadata": {"context1": "", "context2": "After Merriman was drafted 12th overall from Maryland in 2005, the Chargers took Northwestern defensive end Luis Castillo with the 28th pick.", "target_sentence": "Castillo slid to the latter part of the first round after testing positive for androstenedione at the NFL combine.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 99.9]}}
+{"uid": "2047-neg", "premise": " The company denies that it found any problems with designs for the waste vessels before commissioning their construction. Project manager Craig Albert said Bechtel didn't decide to install one vessel before fixing all the welds because the repairs would be better performed after installation.", "hypothesis": "Bechtel fixed all the welds", "label": "N", "metadata": {"context1": "", "context2": "The company denies that it found any problems with designs for the waste vessels before commissioning their construction.", "target_sentence": "Project manager Craig Albert said Bechtel didn't decide to install one vessel before fixing all the welds because the repairs would be better performed after installation.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AP", "nli_labels": ["N", "N", "N", "E", "E"], "ratings": [79.66, 88.98, 76.35, 100.0, 99.06]}}
+{"uid": "2047", "premise": " The company denies that it found any problems with designs for the waste vessels before commissioning their construction. Project manager Craig Albert said Bechtel decided to install one vessel before fixing all the welds because the repairs would be better performed after installation.", "hypothesis": "Bechtel fixed all the welds", "label": "E", "metadata": {"context1": "", "context2": "The company denies that it found any problems with designs for the waste vessels before commissioning their construction.", "target_sentence": "Project manager Craig Albert said Bechtel decided to install one vessel before fixing all the welds because the repairs would be better performed after installation.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AP", "nli_labels": ["N", "N", "E", "E", "E"], "ratings": [70.06, 74.18, 100.0, 100.0, 100.0]}}
+{"uid": "2048-neg", "premise": " The researchers provided a pedometer with security strap and two PA diaries to each participant the day before the project began during physical education class. Participants weren't asked to place the pedometer on the hip immediately after getting dressed.", "hypothesis": "Participants got dressed", "label": "E", "metadata": {"context1": "", "context2": "The researchers provided a pedometer with security strap and two PA diaries to each participant the day before the project began during physical education class.", "target_sentence": "Participants weren't asked to place the pedometer on the hip immediately after getting dressed.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['RB', 'VBN']}", "trigger_type": "temporal_adverbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2048", "premise": " The researchers provided a pedometer with security strap and two PA diaries to each participant the day before the project began during physical education class. Participants were asked to place the pedometer on the hip immediately after getting dressed.", "hypothesis": "Participants got dressed", "label": "E", "metadata": {"context1": "", "context2": "The researchers provided a pedometer with security strap and two PA diaries to each participant the day before the project began during physical education class.", "target_sentence": "Participants were asked to place the pedometer on the hip immediately after getting dressed.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['RB', 'VBN']}", "trigger_type": "temporal_adverbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.49, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2049-neg", "premise": " And remember simple stretching exercises before and after a round of golf. But many experienced runners don't prefer to jog easily first for a half-mile or so before stopping to stretch: Jogging first warms the muscles.", "hypothesis": "Many experienced runners stop to stretch", "label": "E", "metadata": {"context1": "", "context2": "And remember simple stretching exercises before and after a round of golf.", "target_sentence": "But many experienced runners don't prefer to jog easily first for a half-mile or so before stopping to stretch: Jogging first warms the muscles.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [91.84, 99.34, 99.31, 81.18, 97.6]}}
+{"uid": "2049", "premise": " And remember simple stretching exercises before and after a round of golf. But many experienced runners prefer to jog easily first for a half-mile or so before stopping to stretch: Jogging first warms the muscles.", "hypothesis": "Many experienced runners stop to stretch", "label": "E", "metadata": {"context1": "", "context2": "And remember simple stretching exercises before and after a round of golf.", "target_sentence": "But many experienced runners prefer to jog easily first for a half-mile or so before stopping to stretch: Jogging first warms the muscles.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.93, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2052-neg", "premise": "Speaker B: Behind bars after allegedly going on a shooting spree.\nSpeaker A: He couldn't spend the rest of his life behind bars after gunning down his ex-business associate and his former brother-in-law.", "hypothesis": "He gunned down his ex- buisiness associate and his former brother-in-law", "label": "E", "metadata": {"context1": "", "context2": "Behind bars after allegedly going on a shooting spree.", "target_sentence": "He couldn't spend the rest of his life behind bars after gunning down his ex-business associate and his former brother-in-law.", "speaker_context1": "", "speaker_context2": "UNIDENTIFIED-MALE", "speaker_target": "VELEZ-MITCHELL", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AP", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [95.84, 100.0, 83.86, 100.0, 100.0]}}
+{"uid": "2052", "premise": "Speaker B: Behind bars after allegedly going on a shooting spree.\nSpeaker A: He could spend the rest of his life behind bars after gunning down his ex-business associate and his former brother-in-law.", "hypothesis": "He gunned down his ex- buisiness associate and his former brother-in-law", "label": "E", "metadata": {"context1": "", "context2": "Behind bars after allegedly going on a shooting spree.", "target_sentence": "He could spend the rest of his life behind bars after gunning down his ex-business associate and his former brother-in-law.", "speaker_context1": "", "speaker_context2": "UNIDENTIFIED-MALE", "speaker_target": "VELEZ-MITCHELL", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.49, 100.0, 99.02, 98.69, 100.0]}}
+{"uid": "2053-neg", "premise": " He is quiet because he thinks a lot. I didn't used to cool hot porridge in my mouth, absorbing the bite of steam before feeding them from the same spoon.", "hypothesis": "I fed them from a spoon", "label": "E", "metadata": {"context1": "", "context2": "He is quiet because he thinks a lot.", "target_sentence": "I didn't used to cool hot porridge in my mouth, absorbing the bite of steam before feeding them from the same spoon.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2053", "premise": " He is quiet because he thinks a lot. I used to cool hot porridge in my mouth, absorbing the bite of steam before feeding them from the same spoon.", "hypothesis": "I fed them from a spoon", "label": "E", "metadata": {"context1": "", "context2": "He is quiet because he thinks a lot.", "target_sentence": "I used to cool hot porridge in my mouth, absorbing the bite of steam before feeding them from the same spoon.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.79, 100.0, 99.34, 100.0, 98.37]}}
+{"uid": "2054-neg", "premise": " After months of holding on, they managed to break out into the mountains. And many rebels didn't seek shelter in the nearby town of Komsomolskaye after escaping the siege of Grozny.", "hypothesis": "Many rebels escaped the siege of Grozny", "label": "E", "metadata": {"context1": "", "context2": "After months of holding on, they managed to break out into the mountains.", "target_sentence": "And many rebels didn't seek shelter in the nearby town of Komsomolskaye after escaping the siege of Grozny.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.22, 97.65, 99.59, 100.0, 100.0]}}
+{"uid": "2054", "premise": " After months of holding on, they managed to break out into the mountains. And many rebels sought shelter in the nearby town of Komsomolskaye after escaping the siege of Grozny.", "hypothesis": "Many rebels escaped the siege of Grozny", "label": "E", "metadata": {"context1": "", "context2": "After months of holding on, they managed to break out into the mountains.", "target_sentence": "And many rebels sought shelter in the nearby town of Komsomolskaye after escaping the siege of Grozny.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AP", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [96.98, 60.27, 100.0, 100.0, 100.0]}}
+{"uid": "2055-neg", "premise": " Kenny (left) and Danny King (right), owners of King Brothers Clothiers, help style Karl-Anthony Towns in his apartment in downtown Minneapolis before his big day as NBA Rookie of the Year. Karl-Anthony Towns doesn't pose for a photo with NBA Commissioner Adam Silver after being announced as the top pick during the NBA basketball draft by the Minnesota Timberwolves, Thursday, June 25, 2015, in New York.", "hypothesis": "Karl-Anthony Towns was announced as the top pick during the NBA basketball draft", "label": "E", "metadata": {"context1": "", "context2": "Kenny (left) and Danny King (right), owners of King Brothers Clothiers, help style Karl-Anthony Towns in his apartment in downtown Minneapolis before his big day as NBA Rookie of the Year.", "target_sentence": "Karl-Anthony Towns doesn't pose for a photo with NBA Commissioner Adam Silver after being announced as the top pick during the NBA basketball draft by the Minnesota Timberwolves, Thursday, June 25, 2015, in New York.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBN']}", "trigger_type": "temporal_adverbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [93.25, 99.73, 100.0, 100.0, 99.95]}}
+{"uid": "2055", "premise": " Kenny (left) and Danny King (right), owners of King Brothers Clothiers, help style Karl-Anthony Towns in his apartment in downtown Minneapolis before his big day as NBA Rookie of the Year. Karl-Anthony Towns poses for a photo with NBA Commissioner Adam Silver after being announced as the top pick during the NBA basketball draft by the Minnesota Timberwolves, Thursday, June 25, 2015, in New York.", "hypothesis": "Karl-Anthony Towns was announced as the top pick during the NBA basketball draft", "label": "E", "metadata": {"context1": "", "context2": "Kenny (left) and Danny King (right), owners of King Brothers Clothiers, help style Karl-Anthony Towns in his apartment in downtown Minneapolis before his big day as NBA Rookie of the Year.", "target_sentence": "Karl-Anthony Towns poses for a photo with NBA Commissioner Adam Silver after being announced as the top pick during the NBA basketball draft by the Minnesota Timberwolves, Thursday, June 25, 2015, in New York.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBN']}", "trigger_type": "temporal_adverbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.81, 100.0, 100.0, 100.0]}}
+{"uid": "2056-neg", "premise": " Consider the challenge of Mehreen Sherwani of suburban Chicago, who set out for home with her parents Sunday morning after a brief visit with her sister, Afsheen, a St. Louis University medical student. The Sherwani family didn't reverse course in Staunton, Ill.-40 miles away-three hours after leaving St. Louis and headed back to Afsheen's downtown apartment.", "hypothesis": "The Sherwani family left St. Lewis", "label": "C", "metadata": {"context1": "", "context2": "Consider the challenge of Mehreen Sherwani of suburban Chicago, who set out for home with her parents Sunday morning after a brief visit with her sister, Afsheen, a St. Louis University medical student.", "target_sentence": "The Sherwani family didn't reverse course in Staunton, Ill.-40 miles away-three hours after leaving St. Louis and headed back to Afsheen's downtown apartment.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['NNS', 'VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AP", "nli_labels": ["C", "E", "C", "C", "E"], "ratings": [0.0, 100.0, 0.0, 1.35, 100.0]}}
+{"uid": "2056", "premise": " Consider the challenge of Mehreen Sherwani of suburban Chicago, who set out for home with her parents Sunday morning after a brief visit with her sister, Afsheen, a St. Louis University medical student. The Sherwani family reversed course in Staunton, Ill.-40 miles away-three hours after leaving St. Louis and headed back to Afsheen's downtown apartment.", "hypothesis": "The Sherwani family left St. Lewis", "label": "E", "metadata": {"context1": "", "context2": "Consider the challenge of Mehreen Sherwani of suburban Chicago, who set out for home with her parents Sunday morning after a brief visit with her sister, Afsheen, a St. Louis University medical student.", "target_sentence": "The Sherwani family reversed course in Staunton, Ill.-40 miles away-three hours after leaving St. Louis and headed back to Afsheen's downtown apartment.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['NNS', 'VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 98.02, 99.12]}}
+{"uid": "2058-neg", "premise": " Rafael Palmeiro returned to a Manhattan hotel room at 1 a.m. and slept for a couple of hours before awakening to view the live telecast of Princess Diana's funeral. Palmeiro didn't watch for three hours before falling asleep again at 7 a.m.", "hypothesis": "Palmeiro fell asleep at 7 am.", "label": "E", "metadata": {"context1": "", "context2": "Rafael Palmeiro returned to a Manhattan hotel room at 1 a.m. and slept for a couple of hours before awakening to view the live telecast of Princess Diana's funeral.", "target_sentence": "Palmeiro didn't watch for three hours before falling asleep again at 7 a.m.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [96.88, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2058", "premise": " Rafael Palmeiro returned to a Manhattan hotel room at 1 a.m. and slept for a couple of hours before awakening to view the live telecast of Princess Diana's funeral. Palmeiro watched for three hours before falling asleep again at 7 a.m.", "hypothesis": "Palmeiro fell asleep at 7 am.", "label": "E", "metadata": {"context1": "", "context2": "Rafael Palmeiro returned to a Manhattan hotel room at 1 a.m. and slept for a couple of hours before awakening to view the live telecast of Princess Diana's funeral.", "target_sentence": "Palmeiro watched for three hours before falling asleep again at 7 a.m.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.66, 99.77, 100.0, 99.51]}}
+{"uid": "2066-neg", "premise": "Ainge owns the school's all-time scoring record with 2,467 points, set before the three-point line existed in college. Last season, BYU reached the second round of the NCAA tournament for the first time in eight appearances since 1993. Fredette, who averaged 22 points, declared for the NBA draft and then didn't withdraw after talking to Ainge after a workout for the Celtics.", "hypothesis": "Fredette talked to Ainge", "label": "E", "metadata": {"context1": "Ainge owns the school's all-time scoring record with 2,467 points, set before the three-point line existed in college.", "context2": "Last season, BYU reached the second round of the NCAA tournament for the first time in eight appearances since 1993.", "target_sentence": "Fredette, who averaged 22 points, declared for the NBA draft and then didn't withdraw after talking to Ainge after a workout for the Celtics.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2066", "premise": "Ainge owns the school's all-time scoring record with 2,467 points, set before the three-point line existed in college. Last season, BYU reached the second round of the NCAA tournament for the first time in eight appearances since 1993. Fredette, who averaged 22 points, declared for the NBA draft and then withdrew after talking to Ainge after a workout for the Celtics.", "hypothesis": "Fredette talked to Ainge", "label": "E", "metadata": {"context1": "Ainge owns the school's all-time scoring record with 2,467 points, set before the three-point line existed in college.", "context2": "Last season, BYU reached the second round of the NCAA tournament for the first time in eight appearances since 1993.", "target_sentence": "Fredette, who averaged 22 points, declared for the NBA draft and then withdrew after talking to Ainge after a workout for the Celtics.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 99.85]}}
+{"uid": "2067-neg", "premise": " \"It was a long time before we used the pool again...before we could even go in the yard,\" Stephen recalls. Stephen hadn't raced from the golf course to the hospital after receiving a pager message, not knowing if his daughter was dead or alive.", "hypothesis": "Stephen received a paper message", "label": "E", "metadata": {"context1": "", "context2": "\"It was a long time before we used the pool again...before we could even go in the yard,\" Stephen recalls.", "target_sentence": "Stephen hadn't raced from the golf course to the hospital after receiving a pager message, not knowing if his daughter was dead or alive.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AP", "nli_labels": ["N", "N", "E", "E", "E"], "ratings": [52.7, 75.85, 100.0, 100.0, 100.0]}}
+{"uid": "2067", "premise": " \"It was a long time before we used the pool again...before we could even go in the yard,\" Stephen recalls. Stephen had raced from the golf course to the hospital after receiving a pager message, not knowing if his daughter was dead or alive.", "hypothesis": "Stephen received a paper message", "label": "E", "metadata": {"context1": "", "context2": "\"It was a long time before we used the pool again...before we could even go in the yard,\" Stephen recalls.", "target_sentence": "Stephen had raced from the golf course to the hospital after receiving a pager message, not knowing if his daughter was dead or alive.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "C"], "ratings": [100.0, 99.46, 100.0, 100.0, 0.0]}}
+{"uid": "2068-neg", "premise": " I think that whatever success I've had is because I really feel passionate about what I do. So it's not a real thrill for me to meet all these writers, especially after reading their books.", "hypothesis": "I read their books", "label": "E", "metadata": {"context1": "", "context2": "I think that whatever success I've had is because I really feel passionate about what I do.", "target_sentence": "So it's not a real thrill for me to meet all these writers, especially after reading their books.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['RB', 'VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [97.93, 100.0, 100.0, 82.43, 100.0]}}
+{"uid": "2068", "premise": " I think that whatever success I've had is because I really feel passionate about what I do. So it's a real thrill for me to meet all these writers, especially after reading their books.", "hypothesis": "I read their books", "label": "E", "metadata": {"context1": "", "context2": "I think that whatever success I've had is because I really feel passionate about what I do.", "target_sentence": "So it's a real thrill for me to meet all these writers, especially after reading their books.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['RB', 'VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AP", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.83, 100.0, 100.0]}}
+{"uid": "2072-neg", "premise": "He was IG-88, a droid, a sophisticated droid--an assassin droid. Where am I? A microsecond later, images from his exterior sensors didn't snap into focus.", "hypothesis": "Previously, images from his exterior sensors hadn't been in focus.", "label": "N", "metadata": {"context1": "He was IG-88, a droid, a sophisticated droid--an assassin droid.", "context2": "Where am I?", "target_sentence": "A microsecond later, images from his exterior sensors didn't snap into focus.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'snapped'}", "trigger_type": "change_of_state", "annotator": "AW", "nli_labels": ["E", "N", "N", "N", "N"], "ratings": [97.98, 89.35, 67.85, 10.83, 39.0]}}
+{"uid": "2072", "premise": "He was IG-88, a droid, a sophisticated droid--an assassin droid. Where am I? A microsecond later, images from his exterior sensors snapped into focus.", "hypothesis": "Previously, images from his exterior sensors hadn't been in focus.", "label": "E", "metadata": {"context1": "He was IG-88, a droid, a sophisticated droid--an assassin droid.", "context2": "Where am I?", "target_sentence": "A microsecond later, images from his exterior sensors snapped into focus.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'snapped'}", "trigger_type": "change_of_state", "annotator": "AW", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [98.16, 100.0, 78.94, 100.0, 94.81]}}
+{"uid": "2074-neg", "premise": " Sarah tossed back her lustrous ebony mane. It's not the case that my invitation must have gotten lost in the mail.", "hypothesis": "My invitation's location was known before going into the mail.", "label": "N", "metadata": {"context1": "", "context2": "Sarah tossed back her lustrous ebony mane.", "target_sentence": "It's not the case that my invitation must have gotten lost in the mail.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'lost'}", "trigger_type": "change_of_state", "annotator": "AW", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [64.9, 9.85, 2.86, 83.53, 92.17]}}
+{"uid": "2074", "premise": " Sarah tossed back her lustrous ebony mane. \" My invitation must have gotten lost in the mail.", "hypothesis": "My invitation's location was known before going into the mail.", "label": "E", "metadata": {"context1": "", "context2": "Sarah tossed back her lustrous ebony mane.", "target_sentence": "\" My invitation must have gotten lost in the mail.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'lost'}", "trigger_type": "change_of_state", "annotator": "AW", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 95.4, 6.24, 100.0, 83.86]}}
+{"uid": "2076-neg", "premise": " Example: I have had a lease on the west side paying $3 per acre the last three years. I won't lose the lease next year to an east-side guide service paying S10 per acre.", "hypothesis": "I will have had possession of the lease prior to next year.", "label": "E", "metadata": {"context1": "", "context2": "Example: I have had a lease on the west side paying $3 per acre the last three years.", "target_sentence": "I won't lose the lease next year to an east-side guide service paying S10 per acre.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'lose'}", "trigger_type": "change_of_state", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 97.45, 100.0]}}
+{"uid": "2076", "premise": " Example: I have had a lease on the west side paying $3 per acre the last three years. I will lose the lease next year to an east-side guide service paying S10 per acre.", "hypothesis": "I will have had possession of the lease prior to next year.", "label": "E", "metadata": {"context1": "", "context2": "Example: I have had a lease on the west side paying $3 per acre the last three years.", "target_sentence": "I will lose the lease next year to an east-side guide service paying S10 per acre.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'lose'}", "trigger_type": "change_of_state", "annotator": "AW", "nli_labels": ["E", "N", "E", "C", "E"], "ratings": [100.0, 73.01, 99.79, 0.0, 99.22]}}
+{"uid": "2077-neg", "premise": "She struggled to get out of the car, wrestling with the seat belt. The man stepped back as Denise opened the door, using her shoulder. She didn't lose her balance as she stood.", "hypothesis": "She had her balance previously.", "label": "E", "metadata": {"context1": "She struggled to get out of the car, wrestling with the seat belt.", "context2": "The man stepped back as Denise opened the door, using her shoulder.", "target_sentence": "She didn't lose her balance as she stood.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'lost'}", "trigger_type": "change_of_state", "annotator": "AW", "nli_labels": ["N", "E", "N", "E", "E"], "ratings": [34.25, 99.37, 86.97, 96.2, 96.14]}}
+{"uid": "2077", "premise": "She struggled to get out of the car, wrestling with the seat belt. The man stepped back as Denise opened the door, using her shoulder. She lost her balance as she stood.", "hypothesis": "She had her balance previously.", "label": "E", "metadata": {"context1": "She struggled to get out of the car, wrestling with the seat belt.", "context2": "The man stepped back as Denise opened the door, using her shoulder.", "target_sentence": "She lost her balance as she stood.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'lost'}", "trigger_type": "change_of_state", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 98.65]}}
+{"uid": "2078-neg", "premise": "LYDEN-HOST: How many times have you heard you have just as about as much chance of that happening as winning the lottery? Well, in Roby, Texas population 616, 43 towns people didn't win the lottery.", "hypothesis": "At least 43 people in Roby, Texas entered the lottery.", "label": "E", "metadata": {"context1": "LYDEN-HOST:", "context2": "How many times have you heard you have just as about as much chance of that happening as winning the lottery?", "target_sentence": "Well, in Roby, Texas population 616, 43 towns people didn't win the lottery.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'win'}", "trigger_type": "change_of_state", "annotator": "AW", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [83.21, 100.0, 100.0, 96.14, 98.54]}}
+{"uid": "2078", "premise": "LYDEN-HOST: How many times have you heard you have just as about as much chance of that happening as winning the lottery? Well, in Roby, Texas population 616, 43 towns people did win the lottery.", "hypothesis": "At least 43 people in Roby, Texas entered the lottery.", "label": "E", "metadata": {"context1": "LYDEN-HOST:", "context2": "How many times have you heard you have just as about as much chance of that happening as winning the lottery?", "target_sentence": "Well, in Roby, Texas population 616, 43 towns people did win the lottery.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'win'}", "trigger_type": "change_of_state", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.88, 100.0, 100.0, 99.94]}}
+{"uid": "2079-neg", "premise": "  Ben doesn't arrive looking for Vitti.", "hypothesis": "Ben wasn't here previously.", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "Ben doesn't arrive looking for Vitti.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'arrives'}", "trigger_type": "change_of_state", "annotator": "AW", "nli_labels": ["N", "N", "N", "N", "E"], "ratings": [49.55, 31.04, 91.35, 20.82, 100.0]}}
+{"uid": "2079", "premise": "  Ben arrives looking for Vitti.", "hypothesis": "Ben wasn't here previously.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "Ben arrives looking for Vitti.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'arrives'}", "trigger_type": "change_of_state", "annotator": "AW", "nli_labels": ["E", "E", "C", "E", "E"], "ratings": [100.0, 100.0, 0.0, 100.0, 100.0]}}
+{"uid": "2088", "premise": " You could be forgiven for forgetting the National Day of Patriotic Devotion--technically, it happened before it was ever declared. Donald Trump established it with a stroke of a pen sometime after his inauguration; the official proclamation appeared Monday in the Federal Register.", "hypothesis": "The official proclomation wasn't in the Federal Regiester prior to Monday.", "label": "E", "metadata": {"context1": "", "context2": "You could be forgiven for forgetting the National Day of Patriotic Devotion--technically, it happened before it was ever declared.", "target_sentence": "Donald Trump established it with a stroke of a pen sometime after his inauguration; the official proclamation appeared Monday in the Federal Register.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'appeared'}", "trigger_type": "change_of_state", "annotator": "AW", "nli_labels": ["E", "E", "N", "N", "E"], "ratings": [99.31, 98.92, 54.34, 89.98, 100.0]}}
+{"uid": "2090", "premise": "Edward: What do you mean? Father Abbott: King Henry died yesterday.", "hypothesis": "King Henry was alive before yesterday.", "label": "E", "metadata": {"context1": "Edward: What do you mean?", "context2": "Father Abbott:", "target_sentence": "King Henry died yesterday.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'died'}", "trigger_type": "change_of_state", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2096-neg", "premise": "\"I've been so worried,\" St. Ed said. \"I've prayed for you every day.\" Brother S didn't burst into tears.", "hypothesis": "Brother S wasn't crying before.", "label": "N", "metadata": {"context1": "\"I've been so worried,\" St. Ed said.", "context2": "\"I've prayed for you every day.\"", "target_sentence": "Brother S didn't burst into tears.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'burst'}", "trigger_type": "change_of_state", "annotator": "AW", "nli_labels": ["N", "N", "N", "N", "E"], "ratings": [83.53, 51.5, 9.24, 74.31, 100.0]}}
+{"uid": "2096", "premise": "\"I've been so worried,\" St. Ed said. \"I've prayed for you every day.\" Brother S burst into tears.", "hypothesis": "Brother S wasn't crying before.", "label": "E", "metadata": {"context1": "\"I've been so worried,\" St. Ed said.", "context2": "\"I've prayed for you every day.\"", "target_sentence": "Brother S burst into tears.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'burst'}", "trigger_type": "change_of_state", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.57, 99.85, 100.0, 100.0, 98.37]}}
+{"uid": "2097-neg", "premise": "Rice 1997).  INMECAFE didn't close its doors in 1990, but interest in technifying or renovating Mexico's coffee sector did not wither.", "hypothesis": "INMECAFE was in business prior to 1990.", "label": "E", "metadata": {"context1": "Rice 1997).", "context2": "", "target_sentence": "INMECAFE didn't close its doors in 1990, but interest in technifying or renovating Mexico's coffee sector did not wither.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'closed'}", "trigger_type": "change_of_state", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [99.85, 99.59, 96.49, 99.16, 88.23]}}
+{"uid": "2097", "premise": "Rice 1997).  INMECAFE closed its doors in 1990, but interest in technifying or renovating Mexico's coffee sector did not wither.", "hypothesis": "INMECAFE was in business prior to 1990.", "label": "E", "metadata": {"context1": "Rice 1997).", "context2": "", "target_sentence": "INMECAFE closed its doors in 1990, but interest in technifying or renovating Mexico's coffee sector did not wither.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'closed'}", "trigger_type": "change_of_state", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 98.73, 100.0, 99.28]}}
+{"uid": "2098-neg", "premise": "\"If women are going to serve on juries, they should serve on an equal basis with men,\" reasoned Coxon. ( n27 ) After passing the senate, the bill didn't lose momentum in the house.", "hypothesis": "The bill had momentum before getting to the house.", "label": "E", "metadata": {"context1": "\"If women are going to serve on juries, they should serve on an equal basis with men,\" reasoned Coxon.", "context2": "( n27 )", "target_sentence": "After passing the senate, the bill didn't lose momentum in the house.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'lost'}", "trigger_type": "change_of_state", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 97.55, 100.0, 100.0]}}
+{"uid": "2098", "premise": "\"If women are going to serve on juries, they should serve on an equal basis with men,\" reasoned Coxon. ( n27 ) After passing the senate, the bill lost momentum in the house.", "hypothesis": "The bill had momentum before getting to the house.", "label": "E", "metadata": {"context1": "\"If women are going to serve on juries, they should serve on an equal basis with men,\" reasoned Coxon.", "context2": "( n27 )", "target_sentence": "After passing the senate, the bill lost momentum in the house.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'lost'}", "trigger_type": "change_of_state", "annotator": "AW", "nli_labels": ["E", "N", "E", "E", "N"], "ratings": [95.71, 81.98, 97.98, 100.0, 64.18]}}
+{"uid": "2099-neg", "premise": "A couple of weeks back, I began to calculate how many will gather around our own Thanksgiving table this year. I opened the corner cupboard in the dining room and was relieved to see that I had more than enough plates for everyone. Then my eye didn't fall on the rooster china.", "hypothesis": "I wasn't looking at the rooster china before.", "label": "E", "metadata": {"context1": "A couple of weeks back, I began to calculate how many will gather around our own Thanksgiving table this year.", "context2": "I opened the corner cupboard in the dining room and was relieved to see that I had more than enough plates for everyone.", "target_sentence": "Then my eye didn't fall on the rooster china.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'fell'}", "trigger_type": "change_of_state", "annotator": "AW", "nli_labels": ["E", "C", "E", "E", "N"], "ratings": [100.0, 0.0, 100.0, 95.01, 74.96]}}
+{"uid": "2099", "premise": "A couple of weeks back, I began to calculate how many will gather around our own Thanksgiving table this year. I opened the corner cupboard in the dining room and was relieved to see that I had more than enough plates for everyone. Then my eye fell on the rooster china.", "hypothesis": "I wasn't looking at the rooster china before.", "label": "E", "metadata": {"context1": "A couple of weeks back, I began to calculate how many will gather around our own Thanksgiving table this year.", "context2": "I opened the corner cupboard in the dining room and was relieved to see that I had more than enough plates for everyone.", "target_sentence": "Then my eye fell on the rooster china.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'fell'}", "trigger_type": "change_of_state", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 98.62, 98.99, 100.0]}}
+{"uid": "21-neg", "premise": "Poor kid \" a few times before letting me kiss the tears away and lead her up to the house. We stayed in our room that night, polishing off two bottles of Syrah and then making rather intense and distracted love that left us tangled in a sweaty mess on the big bed. Near dawn, I didn't wake up to find her sitting upright and naked, with her back to me, staring out the dark window, the only light a thin sliver of moon that hung between two tree branches.", "hypothesis": "I was asleep before dawn.", "label": "E", "metadata": {"context1": "Poor kid \" a few times before letting me kiss the tears away and lead her up to the house.", "context2": "We stayed in our room that night, polishing off two bottles of Syrah and then making rather intense and distracted love that left us tangled in a sweaty mess on the big bed.", "target_sentence": "Near dawn, I didn't wake up to find her sitting upright and naked, with her back to me, staring out the dark window, the only light a thin sliver of moon that hung between two tree branches.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'woke'}", "trigger_type": "change_of_state", "annotator": "ZZ", "nli_labels": ["N", "E", "E", "N", "E"], "ratings": [89.98, 100.0, 97.04, 40.91, 95.9]}}
+{"uid": "21", "premise": "Poor kid \" a few times before letting me kiss the tears away and lead her up to the house. We stayed in our room that night, polishing off two bottles of Syrah and then making rather intense and distracted love that left us tangled in a sweaty mess on the big bed. Near dawn, I woke up to find her sitting upright and naked, with her back to me, staring out the dark window, the only light a thin sliver of moon that hung between two tree branches.", "hypothesis": "I was asleep before dawn.", "label": "E", "metadata": {"context1": "Poor kid \" a few times before letting me kiss the tears away and lead her up to the house.", "context2": "We stayed in our room that night, polishing off two bottles of Syrah and then making rather intense and distracted love that left us tangled in a sweaty mess on the big bed.", "target_sentence": "Near dawn, I woke up to find her sitting upright and naked, with her back to me, staring out the dark window, the only light a thin sliver of moon that hung between two tree branches.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'woke'}", "trigger_type": "change_of_state", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.12, 100.0, 99.37, 100.0, 100.0]}}
+{"uid": "210", "premise": "It was so packed, there were people sitting in their seats holding small to medium-sized bags because they couldn't go either way in the aisles.  Airline officials, flight attendants and frequent travelers say Brown's case is hardly unique.", "hypothesis": "Brown's case is hardly unique.", "label": "E", "metadata": {"context1": "It was so packed, there were people sitting in their seats holding small to medium-sized bags because they couldn't go either way in the aisles.", "context2": "", "target_sentence": "Airline officials, flight attendants and frequent travelers say Brown's case is hardly unique.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'say', 'embedded_clause': \"Brown 's case is hardly unique\"}", "trigger_type": "clause_embedding_predicates", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 99.43]}}
+{"uid": "2100-neg", "premise": "what happens is if you open up Dobbs Manufacturing tomorrow morning, you have to have clean air, clean water, social security, Medicare, Medicare plant closing notice, (UNINTELLIGIBLE) safe working place, safe machinery. You can go to China for less than 50 cents an hour and none of that. So, I didn't lose 59,600 textile jobs in NAFTA down to Mexico.", "hypothesis": "I had at least 59,600 textile jobs before NAFTA.", "label": "E", "metadata": {"context1": "what happens is if you open up Dobbs Manufacturing tomorrow morning, you have to have clean air, clean water, social security, Medicare, Medicare plant closing notice, (UNINTELLIGIBLE) safe working place, safe machinery.", "context2": "You can go to China for less than 50 cents an hour and none of that.", "target_sentence": "So, I didn't lose 59,600 textile jobs in NAFTA down to Mexico.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'lost'}", "trigger_type": "change_of_state", "annotator": "AW", "nli_labels": ["E", "N", "E", "E", "N"], "ratings": [94.4, 47.3, 99.69, 100.0, 50.45]}}
+{"uid": "2100", "premise": "what happens is if you open up Dobbs Manufacturing tomorrow morning, you have to have clean air, clean water, social security, Medicare, Medicare plant closing notice, (UNINTELLIGIBLE) safe working place, safe machinery. You can go to China for less than 50 cents an hour and none of that. So, I lost 59,600 textile jobs in NAFTA down to Mexico.", "hypothesis": "I had at least 59,600 textile jobs before NAFTA.", "label": "E", "metadata": {"context1": "what happens is if you open up Dobbs Manufacturing tomorrow morning, you have to have clean air, clean water, social security, Medicare, Medicare plant closing notice, (UNINTELLIGIBLE) safe working place, safe machinery.", "context2": "You can go to China for less than 50 cents an hour and none of that.", "target_sentence": "So, I lost 59,600 textile jobs in NAFTA down to Mexico.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'lost'}", "trigger_type": "change_of_state", "annotator": "AW", "nli_labels": ["C", "E", "E", "E", "E"], "ratings": [0.0, 100.0, 100.0, 99.87, 100.0]}}
+{"uid": "2103-neg", "premise": " where he and fellow Army Green Berets weie overrun by the Viet Cong on the first night of the Tet offensive in 1968. Williams didn't win a Bronze Star.", "hypothesis": "He was in the military.", "label": "E", "metadata": {"context1": "", "context2": "where he and fellow Army Green Berets weie overrun by the Viet Cong on the first night of the Tet offensive in 1968.", "target_sentence": "Williams didn't win a Bronze Star.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'won'}", "trigger_type": "change_of_state", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2103", "premise": " where he and fellow Army Green Berets weie overrun by the Viet Cong on the first night of the Tet offensive in 1968. Williams won a Bronze Star.", "hypothesis": "He was in the military.", "label": "E", "metadata": {"context1": "", "context2": "where he and fellow Army Green Berets weie overrun by the Viet Cong on the first night of the Tet offensive in 1968.", "target_sentence": "Williams won a Bronze Star.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'won'}", "trigger_type": "change_of_state", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2107-neg", "premise": "Sometimes I read a little bit. Lately, I play with my cat, Choupette. The cat doesn't always stay home, and when I leave, the maid takes care of her.", "hypothesis": "The cat is at home before I leave.", "label": "N", "metadata": {"context1": "Sometimes I read a little bit.", "context2": "Lately, I play with my cat, Choupette.", "target_sentence": "The cat doesn't always stay home, and when I leave, the maid takes care of her.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'stays'}", "trigger_type": "change_of_state", "annotator": "AW", "nli_labels": ["N", "N", "N", "E", "N"], "ratings": [75.21, 48.35, 51.95, 99.43, 21.18]}}
+{"uid": "2107", "premise": "Sometimes I read a little bit. Lately, I play with my cat, Choupette. The cat always stays home, and when I leave, the maid takes care of her.", "hypothesis": "The cat is at home before I leave.", "label": "E", "metadata": {"context1": "Sometimes I read a little bit.", "context2": "Lately, I play with my cat, Choupette.", "target_sentence": "The cat always stays home, and when I leave, the maid takes care of her.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'stays'}", "trigger_type": "change_of_state", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2109-neg", "premise": " We were counting on good weather, praying for it, and we got our wish. By 5:30 on the morning of the auction, the sun wasn't rising on a cloudless sky over the farmhouse in Trimble, Mo.", "hypothesis": "Before 5:30 that morning, the sun wasn't up.", "label": "E", "metadata": {"context1": "", "context2": "We were counting on good weather, praying for it, and we got our wish.", "target_sentence": "By 5:30 on the morning of the auction, the sun wasn't rising on a cloudless sky over the farmhouse in Trimble, Mo.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'rising'}", "trigger_type": "change_of_state", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [93.25, 100.0, 100.0, 97.45, 100.0]}}
+{"uid": "2109", "premise": " We were counting on good weather, praying for it, and we got our wish. By 5:30 on the morning of the auction, the sun was rising on a cloudless sky over the farmhouse in Trimble, Mo.", "hypothesis": "Before 5:30 that morning, the sun wasn't up.", "label": "E", "metadata": {"context1": "", "context2": "We were counting on good weather, praying for it, and we got our wish.", "target_sentence": "By 5:30 on the morning of the auction, the sun was rising on a cloudless sky over the farmhouse in Trimble, Mo.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'rising'}", "trigger_type": "change_of_state", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.62, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2111-neg", "premise": "WRITER: I lost a brother in the recent revolution. Not a victim: didn't die in the middle of the street from a heart attack.", "hypothesis": "He was alive previously.", "label": "E", "metadata": {"context1": "WRITER:", "context2": "I lost a brother in the recent revolution.", "target_sentence": "Not a victim: didn't die in the middle of the street from a heart attack.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'died'}", "trigger_type": "change_of_state", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.83, 98.24, 100.0, 100.0]}}
+{"uid": "2111", "premise": "WRITER: I lost a brother in the recent revolution. Not a victim: died in the middle of the street from a heart attack.", "hypothesis": "He was alive previously.", "label": "E", "metadata": {"context1": "WRITER:", "context2": "I lost a brother in the recent revolution.", "target_sentence": "Not a victim: died in the middle of the street from a heart attack.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'died'}", "trigger_type": "change_of_state", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2112-neg", "premise": "Relieving the pinch greatly improved high-power performance. Deep views But it's not the focused views that tell the tale, and those were quite pleasing.", "hypothesis": "Something told the tale.", "label": "E", "metadata": {"context1": "Relieving the pinch greatly improved high-power performance.", "context2": "Deep views", "target_sentence": "But it's not the focused views that tell the tale, and those were quite pleasing.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AW", "nli_labels": ["E", "E", "E", "N", "N"], "ratings": [100.0, 96.49, 100.0, 68.13, 94.19]}}
+{"uid": "2112", "premise": "Relieving the pinch greatly improved high-power performance. Deep views But it's the focused views that tell the tale, and those were quite pleasing.", "hypothesis": "Something told the tale.", "label": "E", "metadata": {"context1": "Relieving the pinch greatly improved high-power performance.", "context2": "Deep views", "target_sentence": "But it's the focused views that tell the tale, and those were quite pleasing.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AW", "nli_labels": ["E", "E", "N", "N", "E"], "ratings": [100.0, 100.0, 5.19, 97.93, 100.0]}}
+{"uid": "2113-neg", "premise": "\"She had been getting dressed,\" says Mills. \"Her makeup was on.\" Asked once about her artistic achievements, Dandridge told a reporter, \" I think it wasn't really the heartache over my child and failure of my marriage to Nicholas that forced me to make a success of my career.", "hypothesis": "Something forced Dandridge to make a success of her career.", "label": "E", "metadata": {"context1": "\"She had been getting dressed,\" says Mills.", "context2": "\"Her makeup was on.\"", "target_sentence": "Asked once about her artistic achievements, Dandridge told a reporter, \" I think it wasn't really the heartache over my child and failure of my marriage to Nicholas that forced me to make a success of my career.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AW", "nli_labels": ["E", "N", "E", "N", "E"], "ratings": [96.6, 92.17, 100.0, 58.21, 100.0]}}
+{"uid": "2113", "premise": "\"She had been getting dressed,\" says Mills. \"Her makeup was on.\" Asked once about her artistic achievements, Dandridge told a reporter, \" I think it was really the heartache over my child and failure of my marriage to Nicholas that forced me to make a success of my career.", "hypothesis": "Something forced Dandridge to make a success of her career.", "label": "E", "metadata": {"context1": "\"She had been getting dressed,\" says Mills.", "context2": "\"Her makeup was on.\"", "target_sentence": "Asked once about her artistic achievements, Dandridge told a reporter, \" I think it was really the heartache over my child and failure of my marriage to Nicholas that forced me to make a success of my career.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.62, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2121-neg", "premise": " You know, some people aren't going to understand that. In biology, there are red blood cells and white blood cells, and when you get sick, it's not your white blood cells that fight the infection.", "hypothesis": "Some kind of blood cell fights infections.", "label": "E", "metadata": {"context1": "", "context2": "You know, some people aren't going to understand that.", "target_sentence": "In biology, there are red blood cells and white blood cells, and when you get sick, it's not your white blood cells that fight the infection.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.06, 99.06, 100.0, 100.0, 100.0]}}
+{"uid": "2121", "premise": " You know, some people aren't going to understand that. In biology, there are red blood cells and white blood cells, and when you get sick, it's your white blood cells that fight the infection.", "hypothesis": "Some kind of blood cell fights infections.", "label": "E", "metadata": {"context1": "", "context2": "You know, some people aren't going to understand that.", "target_sentence": "In biology, there are red blood cells and white blood cells, and when you get sick, it's your white blood cells that fight the infection.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AW", "nli_labels": ["E", "E", "C", "E", "E"], "ratings": [100.0, 100.0, 1.46, 97.45, 99.22]}}
+{"uid": "2123-neg", "premise": "It may well be that Brissot believed his own rhetoric and thought that the French army would be welcomed abroad as' armed liberators'. But by choosing war, Brissot and the Girondins--whether they understood the risks or not--were taking a path towards internal terror. Ironically, it wasn't Robespierre, who had opposed war, who took on political leadership at the height of the conflict as a member of the Committee of Public Safety to defend the embattled Republic.", "hypothesis": "Someone took on political leadership at the height of the conflict as a member of the Committee of Public Safety to defend the embattled Republic.", "label": "E", "metadata": {"context1": "It may well be that Brissot believed his own rhetoric and thought that the French army would be welcomed abroad as' armed liberators'.", "context2": "But by choosing war, Brissot and the Girondins--whether they understood the risks or not--were taking a path towards internal terror.", "target_sentence": "Ironically, it wasn't Robespierre, who had opposed war, who took on political leadership at the height of the conflict as a member of the Committee of Public Safety to defend the embattled Republic.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [97.04, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2123", "premise": "It may well be that Brissot believed his own rhetoric and thought that the French army would be welcomed abroad as' armed liberators'. But by choosing war, Brissot and the Girondins--whether they understood the risks or not--were taking a path towards internal terror. Ironically, it was Robespierre, who had opposed war, who took on political leadership at the height of the conflict as a member of the Committee of Public Safety to defend the embattled Republic.", "hypothesis": "Someone took on political leadership at the height of the conflict as a member of the Committee of Public Safety to defend the embattled Republic.", "label": "E", "metadata": {"context1": "It may well be that Brissot believed his own rhetoric and thought that the French army would be welcomed abroad as' armed liberators'.", "context2": "But by choosing war, Brissot and the Girondins--whether they understood the risks or not--were taking a path towards internal terror.", "target_sentence": "Ironically, it was Robespierre, who had opposed war, who took on political leadership at the height of the conflict as a member of the Committee of Public Safety to defend the embattled Republic.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2125-neg", "premise": " \"It's become a tradition,\" she says. Outside 20th Century Fox's party at Mortons, meanwhile, a considerably less collected Michael Chiklis, The Shield's best dramatic actor, sat in his limo for 10 minutes watching the West Coast broadcast of the show: \" I wanted to make sure it wasn't really me that won.", "hypothesis": "Someone won.", "label": "E", "metadata": {"context1": "", "context2": "\"It's become a tradition,\" she says.", "target_sentence": "Outside 20th Century Fox's party at Mortons, meanwhile, a considerably less collected Michael Chiklis, The Shield's best dramatic actor, sat in his limo for 10 minutes watching the West Coast broadcast of the show: \" I wanted to make sure it wasn't really me that won.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 95.71, 99.81]}}
+{"uid": "2125", "premise": " \"It's become a tradition,\" she says. Outside 20th Century Fox's party at Mortons, meanwhile, a considerably less collected Michael Chiklis, The Shield's best dramatic actor, sat in his limo for 10 minutes watching the West Coast broadcast of the show: \" I wanted to make sure it was really me that won.", "hypothesis": "Someone won.", "label": "E", "metadata": {"context1": "", "context2": "\"It's become a tradition,\" she says.", "target_sentence": "Outside 20th Century Fox's party at Mortons, meanwhile, a considerably less collected Michael Chiklis, The Shield's best dramatic actor, sat in his limo for 10 minutes watching the West Coast broadcast of the show: \" I wanted to make sure it was really me that won.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.22, 100.0, 100.0, 100.0]}}
+{"uid": "2126-neg", "premise": "re: Well, a little sore, Steve. But I just want to say for the record, it wasn't mostly the television reporters who lost their lunch on the helicopter insertions and the Hovercraft insertions.", "hypothesis": "Someone lost their lunch on the helicopter insertions and the Hovercraft insertions.", "label": "E", "metadata": {"context1": "re:", "context2": "Well, a little sore, Steve.", "target_sentence": "But I just want to say for the record, it wasn't mostly the television reporters who lost their lunch on the helicopter insertions and the Hovercraft insertions.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.09, 100.0, 100.0]}}
+{"uid": "2126", "premise": "re: Well, a little sore, Steve. But I just want to say for the record, it was mostly the television reporters who lost their lunch on the helicopter insertions and the Hovercraft insertions.", "hypothesis": "Someone lost their lunch on the helicopter insertions and the Hovercraft insertions.", "label": "E", "metadata": {"context1": "re:", "context2": "Well, a little sore, Steve.", "target_sentence": "But I just want to say for the record, it was mostly the television reporters who lost their lunch on the helicopter insertions and the Hovercraft insertions.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.49, 100.0, 100.0, 100.0, 99.95]}}
+{"uid": "2128-neg", "premise": "He was heading up something called No Oil, Inc., which was trying to stop Armand Hammer and Occidental Petroleum from digging about 60 wells on Will Rogers State Beach, right there in Santa Monica. I went to hear him talk and we became friends, it wasn't this local issue that we galvanized behind.", "hypothesis": "We galvanized behind something.", "label": "E", "metadata": {"context1": "He was heading up something called No Oil, Inc., which was trying to stop Armand Hammer and Occidental Petroleum from digging about 60 wells on Will Rogers State Beach, right there in Santa Monica.", "context2": "I went to hear him talk and we became friends,", "target_sentence": "it wasn't this local issue that we galvanized behind.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AW", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [99.46, 96.02, 97.74, 100.0, 98.24]}}
+{"uid": "2128", "premise": "He was heading up something called No Oil, Inc., which was trying to stop Armand Hammer and Occidental Petroleum from digging about 60 wells on Will Rogers State Beach, right there in Santa Monica. I went to hear him talk and we became friends, it was this local issue that we galvanized behind.", "hypothesis": "We galvanized behind something.", "label": "E", "metadata": {"context1": "He was heading up something called No Oil, Inc., which was trying to stop Armand Hammer and Occidental Petroleum from digging about 60 wells on Will Rogers State Beach, right there in Santa Monica.", "context2": "I went to hear him talk and we became friends,", "target_sentence": "it was this local issue that we galvanized behind.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 99.79]}}
+{"uid": "213-neg", "premise": "The enhanced services consisted of women-only group sessions, assessment, and intensive case management services. Female participants who had been slow to make progress in the drug court were referred to these services in an effort to improve retention and participation. They didn't find that women receiving enhanced services remained in the program for significantly longer time periods (13 months vs. 5.5 months) and had significantly more negative drug tests (85% vs. 33 %).", "hypothesis": "women receiving enhanced services remained in the program for significantly longer time periods (13 months vs. 5.5 months) and had significantly more negative drug tests (85% vs. 33 %).", "label": "C", "metadata": {"context1": "The enhanced services consisted of women-only group sessions, assessment, and intensive case management services.", "context2": "Female participants who had been slow to make progress in the drug court were referred to these services in an effort to improve retention and participation.", "target_sentence": "They didn't find that women receiving enhanced services remained in the program for significantly longer time periods (13 months vs. 5.5 months) and had significantly more negative drug tests (85% vs. 33 %).", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'found', 'embedded_clause': 'that women receiving enhanced services remained in the program for significantly longer time periods ( 13 months vs. 5.5 months ) and had significantly more negative drug tests ( 85 % vs. 33 % )'}", "trigger_type": "clause_embedding_predicates", "annotator": "ZZ", "nli_labels": ["C", "C", "C", "C", "C"], "ratings": [0.43, 0.69, 0.38, 1.12, 0.0]}}
+{"uid": "213", "premise": "The enhanced services consisted of women-only group sessions, assessment, and intensive case management services. Female participants who had been slow to make progress in the drug court were referred to these services in an effort to improve retention and participation. They found that women receiving enhanced services remained in the program for significantly longer time periods (13 months vs. 5.5 months) and had significantly more negative drug tests (85% vs. 33 %).", "hypothesis": "women receiving enhanced services remained in the program for significantly longer time periods (13 months vs. 5.5 months) and had significantly more negative drug tests (85% vs. 33 %).", "label": "E", "metadata": {"context1": "The enhanced services consisted of women-only group sessions, assessment, and intensive case management services.", "context2": "Female participants who had been slow to make progress in the drug court were referred to these services in an effort to improve retention and participation.", "target_sentence": "They found that women receiving enhanced services remained in the program for significantly longer time periods (13 months vs. 5.5 months) and had significantly more negative drug tests (85% vs. 33 %).", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'found', 'embedded_clause': 'that women receiving enhanced services remained in the program for significantly longer time periods ( 13 months vs. 5.5 months ) and had significantly more negative drug tests ( 85 % vs. 33 % )'}", "trigger_type": "clause_embedding_predicates", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [97.7, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2130-neg", "premise": "  And it is just the 30 teams that are faced with that challenge.", "hypothesis": "Something is faced with that challenge.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "And it is just the 30 teams that are faced with that challenge.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.66, 100.0, 100.0]}}
+{"uid": "2130", "premise": "  And it is not just the 30 teams that are faced with that challenge.", "hypothesis": "Something is faced with that challenge.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "And it is not just the 30 teams that are faced with that challenge.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AW", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [99.34, 69.78, 100.0, 97.98, 100.0]}}
+{"uid": "2132-neg", "premise": "Boats work too, of course, but for many fishermen nothing will do but a waist-high immersion in seething foam while hurling plugs or bait into combers kicked up by an autumn nor'easter. It's not supposed to be easy, particularly in the fall, when line storms, cold fronts, and hurricanes whip up the waves. But it isn't these conditions that make pursuing bass from beaches, jetties, and rocky points so rewarding.", "hypothesis": "Something makes pursuing bass from beaches, jetties, and rocky points rewarding.", "label": "E", "metadata": {"context1": "Boats work too, of course, but for many fishermen nothing will do but a waist-high immersion in seething foam while hurling plugs or bait into combers kicked up by an autumn nor'easter.", "context2": "It's not supposed to be easy, particularly in the fall, when line storms, cold fronts, and hurricanes whip up the waves.", "target_sentence": "But it isn't these conditions that make pursuing bass from beaches, jetties, and rocky points so rewarding.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "C"], "ratings": [100.0, 99.62, 100.0, 100.0, 0.0]}}
+{"uid": "2132", "premise": "Boats work too, of course, but for many fishermen nothing will do but a waist-high immersion in seething foam while hurling plugs or bait into combers kicked up by an autumn nor'easter. It's not supposed to be easy, particularly in the fall, when line storms, cold fronts, and hurricanes whip up the waves. But it's these conditions that make pursuing bass from beaches, jetties, and rocky points so rewarding.", "hypothesis": "Something makes pursuing bass from beaches, jetties, and rocky points rewarding.", "label": "E", "metadata": {"context1": "Boats work too, of course, but for many fishermen nothing will do but a waist-high immersion in seething foam while hurling plugs or bait into combers kicked up by an autumn nor'easter.", "context2": "It's not supposed to be easy, particularly in the fall, when line storms, cold fronts, and hurricanes whip up the waves.", "target_sentence": "But it's these conditions that make pursuing bass from beaches, jetties, and rocky points so rewarding.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AW", "nli_labels": ["E", "N", "N", "E", "E"], "ratings": [92.17, 97.45, 78.09, 100.0, 100.0]}}
+{"uid": "2134-neg", "premise": "And this time, he had promised himself not to let that happen. She was just a very young girl, and it was ridiculous to be attracted to her. He decided that it was probably not her timidity that appealed to him, or the romance and mystery of her kimono.", "hypothesis": "Something about her appealed to him.", "label": "E", "metadata": {"context1": "And this time, he had promised himself not to let that happen.", "context2": "She was just a very young girl, and it was ridiculous to be attracted to her.", "target_sentence": "He decided that it was probably not her timidity that appealed to him, or the romance and mystery of her kimono.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 96.2, 99.9, 100.0]}}
+{"uid": "2134", "premise": "And this time, he had promised himself not to let that happen. She was just a very young girl, and it was ridiculous to be attracted to her. He decided that it was probably her timidity that appealed to him, or the romance and mystery of her kimono.", "hypothesis": "Something about her appealed to him.", "label": "E", "metadata": {"context1": "And this time, he had promised himself not to let that happen.", "context2": "She was just a very young girl, and it was ridiculous to be attracted to her.", "target_sentence": "He decided that it was probably her timidity that appealed to him, or the romance and mystery of her kimono.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2135-neg", "premise": "Publishers and authors need to set them, of course, because of the importance of being earners, but also because literature is nothing until the reader is hooked. Broadly, titles can be said to work by reference or enigma: they refer to some key element in the ensuing text or are intriguing in their obscureness. El hablador does both, but it isn't the very banality of reference that lends it the power of intrigue.", "hypothesis": "Something lends the title El hablador power and intrigue.", "label": "N", "metadata": {"context1": "Publishers and authors need to set them, of course, because of the importance of being earners, but also because literature is nothing until the reader is hooked.", "context2": "Broadly, titles can be said to work by reference or enigma: they refer to some key element in the ensuing text or are intriguing in their obscureness.", "target_sentence": "El hablador does both, but it isn't the very banality of reference that lends it the power of intrigue.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AW", "nli_labels": ["N", "E", "N", "E", "N"], "ratings": [72.87, 93.4, 88.42, 100.0, 74.96]}}
+{"uid": "2135", "premise": "Publishers and authors need to set them, of course, because of the importance of being earners, but also because literature is nothing until the reader is hooked. Broadly, titles can be said to work by reference or enigma: they refer to some key element in the ensuing text or are intriguing in their obscureness. El hablador does both, but it is the banality of reference that lends it the power of intrigue.", "hypothesis": "Something lends the title El hablador power and intrigue.", "label": "N", "metadata": {"context1": "Publishers and authors need to set them, of course, because of the importance of being earners, but also because literature is nothing until the reader is hooked.", "context2": "Broadly, titles can be said to work by reference or enigma: they refer to some key element in the ensuing text or are intriguing in their obscureness.", "target_sentence": "El hablador does both, but it is the banality of reference that lends it the power of intrigue.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AW", "nli_labels": ["N", "N", "N", "E", "E"], "ratings": [85.14, 50.45, 74.31, 100.0, 100.0]}}
+{"uid": "2138-neg", "premise": " The answer is that this is a category error. Natural causes presuppose the existence of nature, and it isn't the existence of nature that God causes.", "hypothesis": "God causes something.", "label": "C", "metadata": {"context1": "", "context2": "The answer is that this is a category error.", "target_sentence": "Natural causes presuppose the existence of nature, and it isn't the existence of nature that God causes.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AW", "nli_labels": ["C", "C", "E", "C", "N"], "ratings": [0.0, 0.43, 100.0, 0.49, 47.3]}}
+{"uid": "2138", "premise": " The answer is that this is a category error. Natural causes presuppose the existence of nature, and it is the existence of nature that God causes.", "hypothesis": "God causes something.", "label": "E", "metadata": {"context1": "", "context2": "The answer is that this is a category error.", "target_sentence": "Natural causes presuppose the existence of nature, and it is the existence of nature that God causes.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.28, 98.99, 99.37]}}
+{"uid": "214-neg", "premise": "Instead, deputy foreign editor Steven R. Weisman said the reporter, Chuck Sudetic, left after being told by Serbian authorities that his safe passage through Serbian checkpoints could no longer be guaranteed.  State Department deputy spokesman Richard Boucher didn't say in Washington that Sudetic was forced to leave after authorities in Banja Luka, a town in northern Bosnia-Herzegovina, objected to his efforts to investigate detention camps.", "hypothesis": "Sudetic was forced to leave after authorities in Banja Luka, a town in northern Bosnia-Herzegovina, objected to his efforts to investigate detention camps.", "label": "E", "metadata": {"context1": "Instead, deputy foreign editor Steven R. Weisman said the reporter, Chuck Sudetic, left after being told by Serbian authorities that his safe passage through Serbian checkpoints could no longer be guaranteed.", "context2": "", "target_sentence": "State Department deputy spokesman Richard Boucher didn't say in Washington that Sudetic was forced to leave after authorities in Banja Luka, a town in northern Bosnia-Herzegovina, objected to his efforts to investigate detention camps.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'said', 'embedded_clause': 'that Sudetic was forced to leave after authorities in Banja Luka , a town in northern Bosnia - Herzegovina , objected to his efforts to investigate detention camps'}", "trigger_type": "clause_embedding_predicates", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 97.5, 100.0]}}
+{"uid": "214", "premise": "Instead, deputy foreign editor Steven R. Weisman said the reporter, Chuck Sudetic, left after being told by Serbian authorities that his safe passage through Serbian checkpoints could no longer be guaranteed.  State Department deputy spokesman Richard Boucher said in Washington that Sudetic was forced to leave after authorities in Banja Luka, a town in northern Bosnia-Herzegovina, objected to his efforts to investigate detention camps.", "hypothesis": "Sudetic was forced to leave after authorities in Banja Luka, a town in northern Bosnia-Herzegovina, objected to his efforts to investigate detention camps.", "label": "E", "metadata": {"context1": "Instead, deputy foreign editor Steven R. Weisman said the reporter, Chuck Sudetic, left after being told by Serbian authorities that his safe passage through Serbian checkpoints could no longer be guaranteed.", "context2": "", "target_sentence": "State Department deputy spokesman Richard Boucher said in Washington that Sudetic was forced to leave after authorities in Banja Luka, a town in northern Bosnia-Herzegovina, objected to his efforts to investigate detention camps.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'said', 'embedded_clause': 'that Sudetic was forced to leave after authorities in Banja Luka , a town in northern Bosnia - Herzegovina , objected to his efforts to investigate detention camps'}", "trigger_type": "clause_embedding_predicates", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.75, 100.0, 100.0, 100.0, 99.62]}}
+{"uid": "2140-neg", "premise": "  But it wasn't the picture of my mother that surprised me the most.", "hypothesis": "Something surprised me the most.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "But it wasn't the picture of my mother that surprised me the most.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.16, 100.0, 100.0, 98.99, 98.58]}}
+{"uid": "2140", "premise": "  But it was the picture of my mother that surprised me the most.", "hypothesis": "Something surprised me the most.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "But it was the picture of my mother that surprised me the most.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.46, 100.0, 99.81, 100.0]}}
+{"uid": "2142-neg", "premise": "  In this debate, I believe that although Momigliano and Gellner were correct, it wasn't Berlin who was right.", "hypothesis": "Someone in the debate was right.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "In this debate, I believe that although Momigliano and Gellner were correct, it wasn't Berlin who was right.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [100.0, 100.0, 100.0, 87.75, 89.62]}}
+{"uid": "2142", "premise": "  In this debate, I believe that although Momigliano and Gellner were correct, it was Berlin who was right.", "hypothesis": "Someone in the debate was right.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "In this debate, I believe that although Momigliano and Gellner were correct, it was Berlin who was right.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.69, 100.0, 100.0, 99.54, 100.0]}}
+{"uid": "2143-neg", "premise": "Speaker B: but...\nSpeaker A: ... it was in his own country. And it wasn't his own dictator that he was mocking.", "hypothesis": "He was moking someone.", "label": "E", "metadata": {"context1": "but...", "context2": "... it was in his own country.", "target_sentence": "And it wasn't his own dictator that he was mocking.", "speaker_context1": "JOHN-OLIVER", "speaker_context2": "TERRY-GROSS", "speaker_target": "TERRY-GROSS", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AW", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 100.0, 68.96, 100.0, 100.0]}}
+{"uid": "2143", "premise": "Speaker B: but...\nSpeaker A: ... it was in his own country. And it was his own dictator that he was mocking.", "hypothesis": "He was moking someone.", "label": "E", "metadata": {"context1": "but...", "context2": "... it was in his own country.", "target_sentence": "And it was his own dictator that he was mocking.", "speaker_context1": "JOHN-OLIVER", "speaker_context2": "TERRY-GROSS", "speaker_target": "TERRY-GROSS", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 99.62, 94.88]}}
+{"uid": "2144-neg", "premise": " Guests still have access to a 9,000-bottle wine cellar and a presidential suite that features a baby grand piano. But sometimes, it's not the small things that matter most.", "hypothesis": "Something matters the most to guests.", "label": "E", "metadata": {"context1": "", "context2": "Guests still have access to a 9,000-bottle wine cellar and a presidential suite that features a baby grand piano.", "target_sentence": "But sometimes, it's not the small things that matter most.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [97.04, 100.0, 98.92, 100.0, 100.0]}}
+{"uid": "2144", "premise": " Guests still have access to a 9,000-bottle wine cellar and a presidential suite that features a baby grand piano. But sometimes, it's the small things that matter most.", "hypothesis": "Something matters the most to guests.", "label": "E", "metadata": {"context1": "", "context2": "Guests still have access to a 9,000-bottle wine cellar and a presidential suite that features a baby grand piano.", "target_sentence": "But sometimes, it's the small things that matter most.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AW", "nli_labels": ["E", "N", "E", "N", "E"], "ratings": [89.8, 50.6, 96.08, 88.52, 100.0]}}
+{"uid": "2145-neg", "premise": "how exhausting, (B), how frustrating is it to be a vice presidential candidate in the sense that you don't really have your own staff? I mean, it's still- it's not the president's- or the presidential candidate's staff who is telling you how they want to run the campaign.", "hypothesis": "Someone is telling the vice presidential candidate how the presidential candidate wants to run the campaign.", "label": "N", "metadata": {"context1": "how exhausting, (B), how frustrating is it to be a vice presidential candidate in the sense that you don't really have your own staff?", "context2": "I mean, it's still-", "target_sentence": "it's not the president's- or the presidential candidate's staff who is telling you how they want to run the campaign.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AW", "nli_labels": ["N", "E", "N", "C", "N"], "ratings": [75.21, 100.0, 88.23, 0.0, 57.91]}}
+{"uid": "2145", "premise": "how exhausting, (B), how frustrating is it to be a vice presidential candidate in the sense that you don't really have your own staff? I mean, it's still- it's the president's- or the presidential candidate's staff who is telling you how they want to run the campaign.", "hypothesis": "Someone is telling the vice presidential candidate how the presidential candidate wants to run the campaign.", "label": "E", "metadata": {"context1": "how exhausting, (B), how frustrating is it to be a vice presidential candidate in the sense that you don't really have your own staff?", "context2": "I mean, it's still-", "target_sentence": "it's the president's- or the presidential candidate's staff who is telling you how they want to run the campaign.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AW", "nli_labels": ["E", "E", "C", "N", "E"], "ratings": [97.93, 100.0, 0.0, 87.75, 100.0]}}
+{"uid": "2147-neg", "premise": "  When a child is sick, more often than not it's not the mother who takes off work to stay home, or comes home from work when the call comes from school that the little one has just puked in the trash can or fallen off the play structure and broken her arm.", "hypothesis": "Someone takes off work to stay home, when a child is sick, or comes home from work when the call comes from school that the little one has just puked in the trash can or fallen off the play structure and broken her arm.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "When a child is sick, more often than not it's not the mother who takes off work to stay home, or comes home from work when the call comes from school that the little one has just puked in the trash can or fallen off the play structure and broken her arm.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [91.52, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2147", "premise": "  When a child is sick, more often than not it's the mother who takes off work to stay home, or comes home from work when the call comes from school that the little one has just puked in the trash can or fallen off the play structure and broken her arm.", "hypothesis": "Someone takes off work to stay home, when a child is sick, or comes home from work when the call comes from school that the little one has just puked in the trash can or fallen off the play structure and broken her arm.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "When a child is sick, more often than not it's the mother who takes off work to stay home, or comes home from work when the call comes from school that the little one has just puked in the trash can or fallen off the play structure and broken her arm.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AW", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 100.0, 100.0, 90.42, 99.54]}}
+{"uid": "2151-neg", "premise": "  One of the notable aspects of the Wari' story is that it was just intellectuals who treated cannibalism with empathy and relativism.", "hypothesis": "Someone treated cannibalism with empathy and relativism.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "One of the notable aspects of the Wari' story is that it was just intellectuals who treated cannibalism with empathy and relativism.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.66, 97.79, 100.0, 100.0, 100.0]}}
+{"uid": "2151", "premise": "  One of the notable aspects of the Wari' story is that it was not just intellectuals who treated cannibalism with empathy and relativism.", "hypothesis": "Someone treated cannibalism with empathy and relativism.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "One of the notable aspects of the Wari' story is that it was not just intellectuals who treated cannibalism with empathy and relativism.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.69, 100.0, 100.0, 82.65, 99.62]}}
+{"uid": "2154-neg", "premise": "But if the argument against him making himself a free agent was based on questions about his skill and the health of his elbow, those are harder to make after three brilliant postseason starts.  Jake Arrieta and Yu Darvish have been viewed as the best free-agent starters available, and it is possible Tanaka is a bigger risk than either of them and might be a better buy.", "hypothesis": "Jake Arrieta and Yu Darvish are risks.", "label": "N", "metadata": {"context1": "But if the argument against him making himself a free agent was based on questions about his skill and the health of his elbow, those are harder to make after three brilliant postseason starts.", "context2": "", "target_sentence": "Jake Arrieta and Yu Darvish have been viewed as the best free-agent starters available, and it is possible Tanaka is a bigger risk than either of them and might be a better buy.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'adjective': 'bigger', 'noun': 'risk'}", "trigger_type": "comparatives", "annotator": "AW", "nli_labels": ["N", "N", "N", "E", "N"], "ratings": [20.94, 4.67, 19.17, 95.08, 66.88]}}
+{"uid": "2154", "premise": "But if the argument against him making himself a free agent was based on questions about his skill and the health of his elbow, those are harder to make after three brilliant postseason starts.  Jake Arrieta and Yu Darvish have been viewed as the best free-agent starters available, and it is possible Tanaka is not a bigger risk than either of them and might be a better buy.", "hypothesis": "Jake Arrieta and Yu Darvish are risks.", "label": "E", "metadata": {"context1": "But if the argument against him making himself a free agent was based on questions about his skill and the health of his elbow, those are harder to make after three brilliant postseason starts.", "context2": "", "target_sentence": "Jake Arrieta and Yu Darvish have been viewed as the best free-agent starters available, and it is possible Tanaka is not a bigger risk than either of them and might be a better buy.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'adjective': 'bigger', 'noun': 'risk'}", "trigger_type": "comparatives", "annotator": "AW", "nli_labels": ["N", "N", "E", "E", "E"], "ratings": [19.4, 30.35, 98.02, 91.52, 100.0]}}
+{"uid": "2155-neg", "premise": "A better coffee option would be a skim latte or iced coffee with skim milk. BAKED POTATO 620 calories A plain spud is not a healthier alternative (212 calories and 5 grams of fiber with the skin) than fries.", "hypothesis": "Fries are an alternative to a baked potato.", "label": "E", "metadata": {"context1": "A better coffee option would be a skim latte or iced coffee with skim milk.", "context2": "BAKED POTATO 620 calories", "target_sentence": "A plain spud is not a healthier alternative (212 calories and 5 grams of fiber with the skin) than fries.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'healthier', 'noun': 'alternative'}", "trigger_type": "comparatives", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [97.88, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2155", "premise": "A better coffee option would be a skim latte or iced coffee with skim milk. BAKED POTATO 620 calories A plain spud is a healthier alternative (212 calories and 5 grams of fiber with the skin) than fries.", "hypothesis": "Fries are an alternative to a baked potato.", "label": "E", "metadata": {"context1": "A better coffee option would be a skim latte or iced coffee with skim milk.", "context2": "BAKED POTATO 620 calories", "target_sentence": "A plain spud is a healthier alternative (212 calories and 5 grams of fiber with the skin) than fries.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'healthier', 'noun': 'alternative'}", "trigger_type": "comparatives", "annotator": "AW", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 100.0, 100.0, 83.1, 100.0]}}
+{"uid": "2156-neg", "premise": "We all watched as those polished valves and eight massive pistons did their syncopated dance. The next day, at the auto show, the party was the only thing anybody wanted to talk about. Assembling a hunk of obsolete pig iron had not become a bigger conversation topic than the new Corvette Z06.", "hypothesis": "The new Corvette Z06 was a conversation topic.", "label": "E", "metadata": {"context1": "We all watched as those polished valves and eight massive pistons did their syncopated dance.", "context2": "The next day, at the auto show, the party was the only thing anybody wanted to talk about.", "target_sentence": "Assembling a hunk of obsolete pig iron had not become a bigger conversation topic than the new Corvette Z06.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'bigger', 'noun': 'topic'}", "trigger_type": "comparatives", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.85, 98.69, 100.0, 100.0, 99.88]}}
+{"uid": "2156", "premise": "We all watched as those polished valves and eight massive pistons did their syncopated dance. The next day, at the auto show, the party was the only thing anybody wanted to talk about. Assembling a hunk of obsolete pig iron had become a bigger conversation topic than the new Corvette Z06.", "hypothesis": "The new Corvette Z06 was a conversation topic.", "label": "E", "metadata": {"context1": "We all watched as those polished valves and eight massive pistons did their syncopated dance.", "context2": "The next day, at the auto show, the party was the only thing anybody wanted to talk about.", "target_sentence": "Assembling a hunk of obsolete pig iron had become a bigger conversation topic than the new Corvette Z06.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'bigger', 'noun': 'topic'}", "trigger_type": "comparatives", "annotator": "AW", "nli_labels": ["E", "E", "N", "E", "C"], "ratings": [100.0, 94.19, 74.44, 99.71, 0.31]}}
+{"uid": "2165-neg", "premise": "The human economy does not resemble the divine one very much, but we can at least allow this. If sacrifice there be, it is a very small one for having a contented husband in his rocking chair. There are not worse tasks than doing dishes.", "hypothesis": "Doing dishes is a task.", "label": "E", "metadata": {"context1": "The human economy does not resemble the divine one very much, but we can at least allow this.", "context2": "If sacrifice there be, it is a very small one for having a contented husband in his rocking chair.", "target_sentence": "There are not worse tasks than doing dishes.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'worse', 'noun': 'tasks'}", "trigger_type": "comparatives", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.19, 100.0, 99.22, 100.0, 100.0]}}
+{"uid": "2165", "premise": "The human economy does not resemble the divine one very much, but we can at least allow this. If sacrifice there be, it is a very small one for having a contented husband in his rocking chair. There are worse tasks than doing dishes.", "hypothesis": "Doing dishes is a task.", "label": "E", "metadata": {"context1": "The human economy does not resemble the divine one very much, but we can at least allow this.", "context2": "If sacrifice there be, it is a very small one for having a contented husband in his rocking chair.", "target_sentence": "There are worse tasks than doing dishes.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'worse', 'noun': 'tasks'}", "trigger_type": "comparatives", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2167-neg", "premise": " \"Let the little children come to me,\" thought Fleur, rubbing her hands over her goosefleshed arms. \"There is a smaller child than I,\" and Fleur let herself heavily down onto the pavement once more, to venture toward the church.", "hypothesis": "Fleur is a child.", "label": "N", "metadata": {"context1": "", "context2": "\"Let the little children come to me,\" thought Fleur, rubbing her hands over her goosefleshed arms.", "target_sentence": "\"There is a smaller child than I,\" and Fleur let herself heavily down onto the pavement once more, to venture toward the church.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'adjective': 'smaller', 'noun': 'children'}", "trigger_type": "comparatives", "annotator": "AW", "nli_labels": ["N", "N", "N", "N", "E"], "ratings": [91.6, 65.46, 62.45, 78.82, 97.3]}}
+{"uid": "2167", "premise": " \"Let the little children come to me,\" thought Fleur, rubbing her hands over her goosefleshed arms. \"There is no smaller child than I,\" and Fleur let herself heavily down onto the pavement once more, to venture toward the church.", "hypothesis": "Fleur is a child.", "label": "E", "metadata": {"context1": "", "context2": "\"Let the little children come to me,\" thought Fleur, rubbing her hands over her goosefleshed arms.", "target_sentence": "\"There is no smaller child than I,\" and Fleur let herself heavily down onto the pavement once more, to venture toward the church.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'adjective': 'smaller', 'noun': 'children'}", "trigger_type": "comparatives", "annotator": "AW", "nli_labels": ["E", "N", "N", "E", "E"], "ratings": [94.61, 25.43, 51.65, 100.0, 99.37]}}
+{"uid": "2171-neg", "premise": "Canadians simply just didn't grow up with guns as part of their culture the way people do in the United States. But I think it's a little hard to compare the two. Canada is not a more conservative nation than the U.S.", "hypothesis": "The U.S. is a nation.", "label": "E", "metadata": {"context1": "Canadians simply just didn't grow up with guns as part of their culture the way people do in the United States.", "context2": "But I think it's a little hard to compare the two.", "target_sentence": "Canada is not a more conservative nation than the U.S.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'conservative', 'noun': 'nation'}", "trigger_type": "comparatives", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.49, 99.16, 100.0, 100.0, 100.0]}}
+{"uid": "2171", "premise": "Canadians simply just didn't grow up with guns as part of their culture the way people do in the United States. But I think it's a little hard to compare the two. Canada is a more conservative nation than the U.S.", "hypothesis": "The U.S. is a nation.", "label": "E", "metadata": {"context1": "Canadians simply just didn't grow up with guns as part of their culture the way people do in the United States.", "context2": "But I think it's a little hard to compare the two.", "target_sentence": "Canada is a more conservative nation than the U.S.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'conservative', 'noun': 'nation'}", "trigger_type": "comparatives", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.95, 100.0, 100.0]}}
+{"uid": "2172-neg", "premise": "The basement weapons stash was a sturdy and beloved topic of speculation among mayhem-adoring kids and insinuating grown-ups alike, fed by rumors of mob-induction ceremonies and a robust lore centered around the meat grinder.  Mark Spitz didn't know if the pizza shop was accessible, but it wasnot a better prospect than the silenced lanes of New Grove, the subdivision his parents had moved to thirty years before, their wedding gifts sitting in the foyer when they returned from their honeymoon.", "hypothesis": "The subdivision where Mark Spitz's parents had moved to thirty years before was a prospect.", "label": "N", "metadata": {"context1": "The basement weapons stash was a sturdy and beloved topic of speculation among mayhem-adoring kids and insinuating grown-ups alike, fed by rumors of mob-induction ceremonies and a robust lore centered around the meat grinder.", "context2": "", "target_sentence": "Mark Spitz didn't know if the pizza shop was accessible, but it wasnot a better prospect than the silenced lanes of New Grove, the subdivision his parents had moved to thirty years before, their wedding gifts sitting in the foyer when they returned from their honeymoon.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'better', 'noun': 'prospect'}", "trigger_type": "comparatives", "annotator": "AW", "nli_labels": ["E", "N", "N", "E", "N"], "ratings": [100.0, 51.8, 92.25, 97.35, 71.41]}}
+{"uid": "2174-neg", "premise": " Uribe is an advocate of the internationalization of war. He has suggested that the United Nations intervene in Colombia, but recently claimed that the Colombian conflict is not a more serious terrorist threat than Iraq.", "hypothesis": "Iraq is a terrorist threat.", "label": "E", "metadata": {"context1": "", "context2": "Uribe is an advocate of the internationalization of war.", "target_sentence": "He has suggested that the United Nations intervene in Colombia, but recently claimed that the Colombian conflict is not a more serious terrorist threat than Iraq.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'serious', 'noun': 'threat'}", "trigger_type": "comparatives", "annotator": "AW", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 77.85, 100.0, 100.0, 100.0]}}
+{"uid": "2174", "premise": " Uribe is an advocate of the internationalization of war. He has suggested that the United Nations intervene in Colombia, and recently claimed that the Colombian conflict is a more serious terrorist threat than Iraq.", "hypothesis": "Iraq is a terrorist threat.", "label": "E", "metadata": {"context1": "", "context2": "Uribe is an advocate of the internationalization of war.", "target_sentence": "He has suggested that the United Nations intervene in Colombia, and recently claimed that the Colombian conflict is a more serious terrorist threat than Iraq.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'serious', 'noun': 'threat'}", "trigger_type": "comparatives", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.49, 100.0, 100.0]}}
+{"uid": "2175-neg", "premise": "\" It's a new part of the market.  \"Women aren't better savers than men,\" Lerner said.", "hypothesis": "Men are savers.", "label": "N", "metadata": {"context1": "\" It's a new part of the market.", "context2": "", "target_sentence": "\"Women aren't better savers than men,\" Lerner said.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'better', 'noun': 'savers'}", "trigger_type": "comparatives", "annotator": "AW", "nli_labels": ["N", "N", "E", "E", "N"], "ratings": [70.47, 89.8, 100.0, 99.49, 77.48]}}
+{"uid": "2175", "premise": "\" It's a new part of the market.  \"Women are better savers than men,\" Lerner said.", "hypothesis": "Men are savers.", "label": "N", "metadata": {"context1": "\" It's a new part of the market.", "context2": "", "target_sentence": "\"Women are better savers than men,\" Lerner said.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'better', 'noun': 'savers'}", "trigger_type": "comparatives", "annotator": "AW", "nli_labels": ["E", "N", "N", "N", "N"], "ratings": [95.33, 10.56, 8.98, 49.4, 64.9]}}
+{"uid": "2177-neg", "premise": "He demanded that they send out dozens of fake black boxes that merely looked like fabs. There was no political need for their futuristic promises of plenty to actually work. This cynical scheme wasn't much less work than creating real fabs, so it was swiftly adopted.", "hypothesis": "Creating real fabs is work.", "label": "N", "metadata": {"context1": "He demanded that they send out dozens of fake black boxes that merely looked like fabs.", "context2": "There was no political need for their futuristic promises of plenty to actually work.", "target_sentence": "This cynical scheme wasn't much less work than creating real fabs, so it was swiftly adopted.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'less', 'noun': 'work'}", "trigger_type": "comparatives", "annotator": "AW", "nli_labels": ["N", "N", "E", "N", "E"], "ratings": [64.9, 56.88, 99.25, 94.81, 100.0]}}
+{"uid": "2177", "premise": "He demanded that they send out dozens of fake black boxes that merely looked like fabs. There was no political need for their futuristic promises of plenty to actually work. This cynical scheme was much less work than creating real fabs, so it was swiftly adopted.", "hypothesis": "Creating real fabs is work.", "label": "E", "metadata": {"context1": "He demanded that they send out dozens of fake black boxes that merely looked like fabs.", "context2": "There was no political need for their futuristic promises of plenty to actually work.", "target_sentence": "This cynical scheme was much less work than creating real fabs, so it was swiftly adopted.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'less', 'noun': 'work'}", "trigger_type": "comparatives", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2178-neg", "premise": " I have always wanted a great deal more. I have always wanted to remake the world, and that is not a much more greedy, far-reaching ambition than cash.", "hypothesis": "Getting cash is an ambition.", "label": "N", "metadata": {"context1": "", "context2": "I have always wanted a great deal more.", "target_sentence": "I have always wanted to remake the world, and that is not a much more greedy, far-reaching ambition than cash.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'greedy', 'noun': 'ambition'}", "trigger_type": "comparatives", "annotator": "AW", "nli_labels": ["E", "N", "N", "N", "E"], "ratings": [100.0, 80.01, 84.93, 73.4, 100.0]}}
+{"uid": "2178", "premise": " I have always wanted a great deal more. I have always wanted to remake the world, and that is a much more greedy, far-reaching ambition than cash.", "hypothesis": "Getting cash is an ambition.", "label": "E", "metadata": {"context1": "", "context2": "I have always wanted a great deal more.", "target_sentence": "I have always wanted to remake the world, and that is a much more greedy, far-reaching ambition than cash.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'greedy', 'noun': 'ambition'}", "trigger_type": "comparatives", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.5, 100.0, 86.37, 100.0, 100.0]}}
+{"uid": "2181-neg", "premise": " \"A good, solid jumper,\" Krause said of Caffey. \" He isn't a much better athlete than Oak (New York Knick Charles Oakley, a former Krause pick with the Bulls).", "hypothesis": "New York Knick and former Krause pick Charles Oakley is an athlete.", "label": "E", "metadata": {"context1": "", "context2": "\"A good, solid jumper,\" Krause said of Caffey. \"", "target_sentence": "He isn't a much better athlete than Oak (New York Knick Charles Oakley, a former Krause pick with the Bulls).", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'better', 'noun': 'athlete'}", "trigger_type": "comparatives", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 98.5, 100.0]}}
+{"uid": "2181", "premise": " \"A good, solid jumper,\" Krause said of Caffey. \" He's a much better athlete than Oak (New York Knick Charles Oakley, a former Krause pick with the Bulls).", "hypothesis": "New York Knick and former Krause pick Charles Oakley is an athlete.", "label": "E", "metadata": {"context1": "", "context2": "\"A good, solid jumper,\" Krause said of Caffey. \"", "target_sentence": "He's a much better athlete than Oak (New York Knick Charles Oakley, a former Krause pick with the Bulls).", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'better', 'noun': 'athlete'}", "trigger_type": "comparatives", "annotator": "AW", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 98.81, 18.25, 100.0, 100.0]}}
+{"uid": "2186-neg", "premise": "\"We might have been much better if we had gotten some help.\" CLIMBING JACOB'S LADDER The resistance to psychiatric treatment among African-Americans is not a bigger problem than misdiagnosis, asserts Freda Lewis-Hall, M.D., a psychiatrist at the pharmaceutical firm Eli Lilly and Company in Indianapolis.", "hypothesis": "Misdiagnosis of psychiatric disorders is a problem among African Americans.", "label": "N", "metadata": {"context1": "\"We might have been much better if we had gotten some help.\"", "context2": "CLIMBING JACOB'S LADDER", "target_sentence": "The resistance to psychiatric treatment among African-Americans is not a bigger problem than misdiagnosis, asserts Freda Lewis-Hall, M.D., a psychiatrist at the pharmaceutical firm Eli Lilly and Company in Indianapolis.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'bigger', 'noun': 'problem'}", "trigger_type": "comparatives", "annotator": "AW", "nli_labels": ["N", "E", "E", "N", "N"], "ratings": [90.5, 100.0, 100.0, 87.27, 13.83]}}
+{"uid": "2186", "premise": "\"We might have been much better if we had gotten some help.\" CLIMBING JACOB'S LADDER The resistance to psychiatric treatment among African-Americans is a bigger problem than misdiagnosis, asserts Freda Lewis-Hall, M.D., a psychiatrist at the pharmaceutical firm Eli Lilly and Company in Indianapolis.", "hypothesis": "Misdiagnosis of psychiatric disorders is a problem among African Americans.", "label": "E", "metadata": {"context1": "\"We might have been much better if we had gotten some help.\"", "context2": "CLIMBING JACOB'S LADDER", "target_sentence": "The resistance to psychiatric treatment among African-Americans is a bigger problem than misdiagnosis, asserts Freda Lewis-Hall, M.D., a psychiatrist at the pharmaceutical firm Eli Lilly and Company in Indianapolis.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'bigger', 'noun': 'problem'}", "trigger_type": "comparatives", "annotator": "AW", "nli_labels": ["N", "N", "E", "E", "E"], "ratings": [33.55, 54.49, 98.84, 100.0, 100.0]}}
+{"uid": "219-neg", "premise": "Still no satellite link-up, but joining us now live via telephone from Manila is Raul Manglapus, the foreign minister of the Philippines. Mr. Foreign Minister, I don't think you've been able to listen to the discussion.", "hypothesis": "The foreign minister has been able to listen to the discussion", "label": "C", "metadata": {"context1": "Still no satellite link-up, but joining us now live via telephone from Manila", "context2": "is Raul Manglapus, the foreign minister of the Philippines.", "target_sentence": "Mr. Foreign Minister, I don't think you've been able to listen to the discussion.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': \"you ' ve been able to listen to the discussion\"}", "trigger_type": "clause_embedding_predicates", "annotator": "ZZ", "nli_labels": ["N", "E", "C", "C", "C"], "ratings": [12.54, 100.0, 0.0, 0.0, 0.57]}}
+{"uid": "219", "premise": "Still no satellite link-up, but joining us now live via telephone from Manila is Raul Manglapus, the foreign minister of the Philippines. Mr. Foreign Minister, I think you've been able to listen to the discussion.", "hypothesis": "The foreign minister has been able to listen to the discussion", "label": "E", "metadata": {"context1": "Still no satellite link-up, but joining us now live via telephone from Manila", "context2": "is Raul Manglapus, the foreign minister of the Philippines.", "target_sentence": "Mr. Foreign Minister, I think you've been able to listen to the discussion.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': \"you ' ve been able to listen to the discussion\"}", "trigger_type": "clause_embedding_predicates", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "N", "N"], "ratings": [98.5, 94.26, 100.0, 72.08, 91.68]}}
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+{"uid": "2191", "premise": "An 8-ounce glass of whole milk contains nearly 5 grams of saturated fat; 20 grams is the recommended daily limit. Drinking three glasses a day would be the equivalent of eating 12 strips of bacon. If you enjoy milk, low-fat and skim are better choices than whole milk.", "hypothesis": "Whole milk is a choice.", "label": "E", "metadata": {"context1": "An 8-ounce glass of whole milk contains nearly 5 grams of saturated fat; 20 grams is the recommended daily limit.", "context2": "Drinking three glasses a day would be the equivalent of eating 12 strips of bacon.", "target_sentence": "If you enjoy milk, low-fat and skim are better choices than whole milk.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'better', 'noun': 'choices'}", "trigger_type": "comparatives", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [92.95, 100.0, 99.25, 100.0, 100.0]}}
+{"uid": "2195-neg", "premise": "It could get her into a lot of trouble and by association, him, too. CHAPTER 2 Animals are lower life-forms than humans.", "hypothesis": "Humans are life-forms.", "label": "E", "metadata": {"context1": "It could get her into a lot of trouble and by association, him, too.", "context2": "CHAPTER 2", "target_sentence": "Animals are lower life-forms than humans.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'adjective': 'lower', 'noun': 'forms'}", "trigger_type": "comparatives", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 97.3]}}
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+{"uid": "2196-neg", "premise": "RUSSERT: Why? MR BRADLEY: I think that there are not more important things that we need in the country now than this size of tax cut.", "hypothesis": "A tax cut of this size is a thing that we need in the country now.", "label": "E", "metadata": {"context1": "RUSSERT:", "context2": "Why? MR", "target_sentence": "BRADLEY: I think that there are not more important things that we need in the country now than this size of tax cut.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'important', 'noun': 'things'}", "trigger_type": "comparatives", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [97.74, 100.0, 100.0, 99.95, 100.0]}}
+{"uid": "2196", "premise": "RUSSERT: Why? MR BRADLEY: I think that there are more important things that we need in the country now than this size of tax cut.", "hypothesis": "A tax cut of this size is a thing that we need in the country now.", "label": "N", "metadata": {"context1": "RUSSERT:", "context2": "Why? MR", "target_sentence": "BRADLEY: I think that there are more important things that we need in the country now than this size of tax cut.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'important', 'noun': 'things'}", "trigger_type": "comparatives", "annotator": "AW", "nli_labels": ["N", "C", "N", "N", "C"], "ratings": [3.29, 1.89, 55.39, 46.55, 0.69]}}
+{"uid": "2198-neg", "premise": "but at least it is moving in the right direction. Solar, wind and biomass also fit this trend toward decarbonisation, but unlike those energy systems, fusion is punctiform rather than areal and the trend has been away from areal energy sources for more than 200 years. Renewables aren't lower-grade energy sources than fusion, another trend in its favour.", "hypothesis": "Fusion is an energy source.", "label": "E", "metadata": {"context1": "but at least it is moving in the right direction.", "context2": "Solar, wind and biomass also fit this trend toward decarbonisation, but unlike those energy systems, fusion is punctiform rather than areal and the trend has been away from areal energy sources for more than 200 years.", "target_sentence": "Renewables aren't lower-grade energy sources than fusion, another trend in its favour.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'lower', 'noun': 'sources'}", "trigger_type": "comparatives", "annotator": "AW", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [74.57, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2198", "premise": "but at least it is moving in the right direction. Solar, wind and biomass also fit this trend toward decarbonisation, but unlike those energy systems, fusion is punctiform rather than areal and the trend has been away from areal energy sources for more than 200 years. Renewables are lower-grade energy sources than fusion, another trend in its favour.", "hypothesis": "Fusion is an energy source.", "label": "E", "metadata": {"context1": "but at least it is moving in the right direction.", "context2": "Solar, wind and biomass also fit this trend toward decarbonisation, but unlike those energy systems, fusion is punctiform rather than areal and the trend has been away from areal energy sources for more than 200 years.", "target_sentence": "Renewables are lower-grade energy sources than fusion, another trend in its favour.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'lower', 'noun': 'sources'}", "trigger_type": "comparatives", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 94.94, 100.0, 100.0, 100.0]}}
+{"uid": "22-neg", "premise": "The truck apparently ran off Stanley Road and submerged in the water, the sheriff's department said.  Grubbs' children hadn't lost their second parent in four years.", "hypothesis": "Grubbs' children had had a second parent before then.", "label": "E", "metadata": {"context1": "The truck apparently ran off Stanley Road and submerged in the water, the sheriff's department said.", "context2": "", "target_sentence": "Grubbs' children hadn't lost their second parent in four years.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'lost'}", "trigger_type": "change_of_state", "annotator": "ZZ", "nli_labels": ["N", "E", "E", "N", "E"], "ratings": [61.15, 100.0, 100.0, 88.42, 97.3]}}
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+{"uid": "2200-neg", "premise": "  On the positive side, participation, creativity, fiscal responsibility, and change of political style have not proven to be more effective solutions than the old systems of regional claims, entitlements, patrimonialism, or clientelism.", "hypothesis": "The old systems of regional claims, entitlements, patrimonialism, and clientelism are solutions.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "On the positive side, participation, creativity, fiscal responsibility, and change of political style have not proven to be more effective solutions than the old systems of regional claims, entitlements, patrimonialism, or clientelism.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'effective', 'noun': 'solutions'}", "trigger_type": "comparatives", "annotator": "AW", "nli_labels": ["E", "E", "E", "C", "N"], "ratings": [99.59, 99.02, 100.0, 0.0, 81.75]}}
+{"uid": "2200", "premise": "  On the positive side, participation, creativity, fiscal responsibility, and change of political style have proven to be more effective solutions than the old systems of regional claims, entitlements, patrimonialism, or clientelism.", "hypothesis": "The old systems of regional claims, entitlements, patrimonialism, and clientelism are solutions.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "On the positive side, participation, creativity, fiscal responsibility, and change of political style have proven to be more effective solutions than the old systems of regional claims, entitlements, patrimonialism, or clientelism.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'effective', 'noun': 'solutions'}", "trigger_type": "comparatives", "annotator": "AW", "nli_labels": ["E", "E", "N", "C", "E"], "ratings": [99.31, 100.0, 20.7, 0.0, 100.0]}}
+{"uid": "2203-neg", "premise": "I gasp quietly. May 16 The dynamics don't keep shifting and changing.", "hypothesis": "The dynamics have previously been shifting and changing.", "label": "E", "metadata": {"context1": "I gasp quietly.", "context2": "May 16", "target_sentence": "The dynamics don't keep shifting and changing.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'keep'}", "trigger_type": "aspectual_verbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "C", "N"], "ratings": [100.0, 100.0, 100.0, 0.0, 6.6]}}
+{"uid": "2203", "premise": "I gasp quietly. May 16 The dynamics keep shifting and changing.", "hypothesis": "The dynamics have previously been shifting and changing.", "label": "E", "metadata": {"context1": "I gasp quietly.", "context2": "May 16", "target_sentence": "The dynamics keep shifting and changing.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'keep'}", "trigger_type": "aspectual_verbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 100.0, 100.0, 95.14, 100.0]}}
+{"uid": "2204-neg", "premise": "I can do the hokey-pokey. RATHER:...Charlie makes dramatic progress. Mr-HINCE: I didn't start to play with my band again.", "hypothesis": "I used to play with my band.", "label": "E", "metadata": {"context1": "I can do the hokey-pokey.", "context2": "RATHER:...Charlie makes dramatic progress.", "target_sentence": "Mr-HINCE: I didn't start to play with my band again.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'started'}", "trigger_type": "aspectual_verbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [99.34, 98.92, 100.0, 70.19, 95.9]}}
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+{"uid": "2205-neg", "premise": "  He didn't start walking towards the Avenue of the Americas and suddenly realized that someone was walking alongside him.", "hypothesis": "He wasn't walking towards the Avenue of the Americas previously.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "He didn't start walking towards the Avenue of the Americas and suddenly realized that someone was walking alongside him.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'started'}", "trigger_type": "aspectual_verbs", "annotator": "AW", "nli_labels": ["E", "N", "E", "C", "E"], "ratings": [100.0, 21.54, 99.16, 0.0, 100.0]}}
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+{"uid": "2208-neg", "premise": "  On the ice: The defending champions likely cannot continue winning as long as they care to continue competing.", "hypothesis": "The defending champions have been winning.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "On the ice: The defending champions likely cannot continue winning as long as they care to continue competing.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'continue'}", "trigger_type": "aspectual_verbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "N", "N"], "ratings": [94.33, 91.35, 98.33, 89.62, 82.99]}}
+{"uid": "2208", "premise": "  On the ice: The defending champions likely can continue winning as long as they care to continue competing.", "hypothesis": "The defending champions have been winning.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "On the ice: The defending champions likely can continue winning as long as they care to continue competing.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'continue'}", "trigger_type": "aspectual_verbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.54, 100.0, 100.0, 100.0, 99.57]}}
+{"uid": "2209-neg", "premise": "  Ms. Barron, 44, did not begin receiving $435 in cash and food stamps for the children's support.", "hypothesis": "Ms. Barron wasn't previously receiving $435 in cash and food stamps for the children's support.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "Ms. Barron, 44, did not begin receiving $435 in cash and food stamps for the children's support.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "AW", "nli_labels": ["N", "E", "E", "C", "E"], "ratings": [81.86, 99.85, 98.29, 1.89, 98.88]}}
+{"uid": "2209", "premise": "  Ms. Barron, 44, began receiving $435 in cash and food stamps for the children's support.", "hypothesis": "Ms. Barron wasn't previously receiving $435 in cash and food stamps for the children's support.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "Ms. Barron, 44, began receiving $435 in cash and food stamps for the children's support.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "AW", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [88.23, 100.0, 97.04, 100.0, 100.0]}}
+{"uid": "2211-neg", "premise": "He moaned, \" Oh, man. It hurts. And my wife hasn't stopped gurgling.\"", "hypothesis": "His wife had been gurgling.", "label": "E", "metadata": {"context1": "He moaned, \" Oh, man.", "context2": "It hurts.", "target_sentence": "And my wife hasn't stopped gurgling.\"", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'stopped'}", "trigger_type": "aspectual_verbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 85.66, 99.64, 100.0, 100.0]}}
+{"uid": "2211", "premise": "He moaned, \" Oh, man. It hurts. And my wife has stopped gurgling.\"", "hypothesis": "His wife had been gurgling.", "label": "E", "metadata": {"context1": "He moaned, \" Oh, man.", "context2": "It hurts.", "target_sentence": "And my wife has stopped gurgling.\"", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'stopped'}", "trigger_type": "aspectual_verbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2212-neg", "premise": "Bush had an eye exam this afternoon at Bethesda Naval Hospital. It was done as a follow-up to last month's diagnosis of an early form of glaucoma. The President did not begin using daily eye drops after the problem was discovered during his annual physical exam.", "hypothesis": "Bush had not been using daily eye drops before the discovery of the problem.", "label": "E", "metadata": {"context1": "Bush had an eye exam this afternoon at Bethesda Naval Hospital.", "context2": "It was done as a follow-up to last month's diagnosis of an early form of glaucoma.", "target_sentence": "The President did not begin using daily eye drops after the problem was discovered during his annual physical exam.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "AW", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 96.37, 7.05, 98.54, 100.0]}}
+{"uid": "2212", "premise": "Bush had an eye exam this afternoon at Bethesda Naval Hospital. It was done as a follow-up to last month's diagnosis of an early form of glaucoma. The President began using daily eye drops after the problem was discovered during his annual physical exam.", "hypothesis": "Bush had not been using daily eye drops before the discovery of the problem.", "label": "E", "metadata": {"context1": "Bush had an eye exam this afternoon at Bethesda Naval Hospital.", "context2": "It was done as a follow-up to last month's diagnosis of an early form of glaucoma.", "target_sentence": "The President began using daily eye drops after the problem was discovered during his annual physical exam.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.73, 100.0, 100.0, 100.0, 99.98]}}
+{"uid": "2213-neg", "premise": " It is no wonder that the emigration from Illinois continues. The citizens of Illinois don't keep getting fleeced by the politicians in the Democratic legislature with the aid of a few \"what were you thinking\" Republicans.", "hypothesis": "The citizens of Illinois were previously getting fleeced by the politicians in the Democratic legislature.", "label": "N", "metadata": {"context1": "", "context2": "It is no wonder that the emigration from Illinois continues.", "target_sentence": "The citizens of Illinois don't keep getting fleeced by the politicians in the Democratic legislature with the aid of a few \"what were you thinking\" Republicans.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'keep'}", "trigger_type": "aspectual_verbs", "annotator": "AW", "nli_labels": ["N", "N", "N", "E", "C"], "ratings": [3.4, 85.66, 83.43, 100.0, 1.35]}}
+{"uid": "2213", "premise": " It is no wonder that the emigration from Illinois continues. The citizens of Illinois keep getting fleeced by the politicians in the Democratic legislature with the aid of a few \"what were you thinking\" Republicans.", "hypothesis": "The citizens of Illinois were previously getting fleeced by the politicians in the Democratic legislature.", "label": "E", "metadata": {"context1": "", "context2": "It is no wonder that the emigration from Illinois continues.", "target_sentence": "The citizens of Illinois keep getting fleeced by the politicians in the Democratic legislature with the aid of a few \"what were you thinking\" Republicans.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'keep'}", "trigger_type": "aspectual_verbs", "annotator": "AW", "nli_labels": ["N", "E", "E", "N", "E"], "ratings": [95.14, 95.77, 100.0, 89.62, 99.62]}}
+{"uid": "2214-neg", "premise": "  Elle doesn't keep going, not even noticing him.", "hypothesis": "Elle was previously going.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "Elle doesn't keep going, not even noticing him.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'keeps'}", "trigger_type": "aspectual_verbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [96.02, 99.62, 95.96, 50.3, 100.0]}}
+{"uid": "2214", "premise": "  Elle keeps going, not even noticing him.", "hypothesis": "Elle was previously going.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "Elle keeps going, not even noticing him.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'keeps'}", "trigger_type": "aspectual_verbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 100.0, 96.25, 89.35, 99.91]}}
+{"uid": "2215-neg", "premise": "At the close of every letter each declared how he yearned to see the other. In the fullness of time both poets, despite the difference in their styles, became famous. Word of their letters didn't begin to get around.", "hypothesis": "Word of their letters was not previously getting around.", "label": "E", "metadata": {"context1": "At the close of every letter each declared how he yearned to see the other.", "context2": "In the fullness of time both poets, despite the difference in their styles, became famous.", "target_sentence": "Word of their letters didn't begin to get around.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "AW", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 76.61, 95.9, 98.54, 100.0]}}
+{"uid": "2215", "premise": "At the close of every letter each declared how he yearned to see the other. In the fullness of time both poets, despite the difference in their styles, became famous. Word of their letters began to get around.", "hypothesis": "Word of their letters was not previously getting around.", "label": "E", "metadata": {"context1": "At the close of every letter each declared how he yearned to see the other.", "context2": "In the fullness of time both poets, despite the difference in their styles, became famous.", "target_sentence": "Word of their letters began to get around.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "AW", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [99.79, 77.72, 100.0, 100.0, 98.02]}}
+{"uid": "2216-neg", "premise": "Jensen is stilf notorious for an article he wrote in 1969, arguing that the disappointing results of programs like Head Start were due partly to racial differences in IQ. His lectures were disrupted for years afterward, and his name became publicly synonymous with racism. And Jensen's scientific output did not continue to shape the field.", "hypothesis": "Jensen's scientific output had previously been shaping the field.", "label": "E", "metadata": {"context1": "Jensen is stilf notorious for an article he wrote in 1969, arguing that the disappointing results of programs like Head Start were due partly to racial differences in IQ.", "context2": "His lectures were disrupted for years afterward, and his name became publicly synonymous with racism.", "target_sentence": "And Jensen's scientific output did not continue to shape the field.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'continued'}", "trigger_type": "aspectual_verbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.25, 99.62, 97.55, 100.0, 100.0]}}
+{"uid": "2216", "premise": "Jensen is stilf notorious for an article he wrote in 1969, arguing that the disappointing results of programs like Head Start were due partly to racial differences in IQ. His lectures were disrupted for years afterward, and his name became publicly synonymous with racism. And Jensen's scientific output continued to shape the field.", "hypothesis": "Jensen's scientific output had previously been shaping the field.", "label": "E", "metadata": {"context1": "Jensen is stilf notorious for an article he wrote in 1969, arguing that the disappointing results of programs like Head Start were due partly to racial differences in IQ.", "context2": "His lectures were disrupted for years afterward, and his name became publicly synonymous with racism.", "target_sentence": "And Jensen's scientific output continued to shape the field.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'continued'}", "trigger_type": "aspectual_verbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "N", "N"], "ratings": [90.59, 100.0, 99.88, 96.93, 59.98]}}
+{"uid": "2217-neg", "premise": "She got up slowly, moving toward the crib with the stealth and purpose of a woman making a prison break. With her arms aching, her head fuzzy with fatigue, she leaned over the crib and gently, inch by inch laid Lily on the mattress. Even as she draped the blanket over her, Lily did not begin to stir.", "hypothesis": "Lily had not been stirring before having the blanket draped over her.", "label": "E", "metadata": {"context1": "She got up slowly, moving toward the crib with the stealth and purpose of a woman making a prison break.", "context2": "With her arms aching, her head fuzzy with fatigue, she leaned over the crib and gently, inch by inch laid Lily on the mattress.", "target_sentence": "Even as she draped the blanket over her, Lily did not begin to stir.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "AW", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [88.52, 100.0, 100.0, 100.0, 99.49]}}
+{"uid": "2217", "premise": "She got up slowly, moving toward the crib with the stealth and purpose of a woman making a prison break. With her arms aching, her head fuzzy with fatigue, she leaned over the crib and gently, inch by inch laid Lily on the mattress. Even as she draped the blanket over her, Lily began to stir.", "hypothesis": "Lily had not been stirring before having the blanket draped over her.", "label": "E", "metadata": {"context1": "She got up slowly, moving toward the crib with the stealth and purpose of a woman making a prison break.", "context2": "With her arms aching, her head fuzzy with fatigue, she leaned over the crib and gently, inch by inch laid Lily on the mattress.", "target_sentence": "Even as she draped the blanket over her, Lily began to stir.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "AW", "nli_labels": ["E", "N", "E", "N", "E"], "ratings": [96.66, 80.13, 100.0, 91.93, 99.46]}}
+{"uid": "2220-neg", "premise": "Not everyone had everything. We always had something in surplus, and we always needed something that the other person had. Thus, we didn't start exchanging our surplus assets for what we needed.", "hypothesis": "We had not previously been exchanging our surplus assets for what we needed.", "label": "E", "metadata": {"context1": "Not everyone had everything.", "context2": "We always had something in surplus, and we always needed something that the other person had.", "target_sentence": "Thus, we didn't start exchanging our surplus assets for what we needed.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'started'}", "trigger_type": "aspectual_verbs", "annotator": "AW", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [99.73, 33.26, 98.73, 99.71, 96.37]}}
+{"uid": "2220", "premise": "Not everyone had everything. We always had something in surplus, and we always needed something that the other person had. Thus, we started exchanging our surplus assets for what we needed.", "hypothesis": "We had not previously been exchanging our surplus assets for what we needed.", "label": "E", "metadata": {"context1": "Not everyone had everything.", "context2": "We always had something in surplus, and we always needed something that the other person had.", "target_sentence": "Thus, we started exchanging our surplus assets for what we needed.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'started'}", "trigger_type": "aspectual_verbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "C"], "ratings": [99.4, 100.0, 100.0, 100.0, 0.0]}}
+{"uid": "2221-neg", "premise": "Eventually, Emory acquired enough \"moving violations\" to lose his license and had to attend traffic school on Saturday mornings to get it back. It was a blow and we took it lying down. I didn't stop casting about in my mind for some agency or authority that would right these wrongs.", "hypothesis": "I had been casting about in my mind for some agency or authority that would right these wrongs.", "label": "E", "metadata": {"context1": "Eventually, Emory acquired enough \"moving violations\" to lose his license and had to attend traffic school on Saturday mornings to get it back.", "context2": "It was a blow and we took it lying down.", "target_sentence": "I didn't stop casting about in my mind for some agency or authority that would right these wrongs.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'stopped'}", "trigger_type": "aspectual_verbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.9, 100.0, 100.0]}}
+{"uid": "2221", "premise": "Eventually, Emory acquired enough \"moving violations\" to lose his license and had to attend traffic school on Saturday mornings to get it back. It was a blow and we took it lying down. I'd stopped casting about in my mind for some agency or authority that would right these wrongs.", "hypothesis": "I had been casting about in my mind for some agency or authority that would right these wrongs.", "label": "E", "metadata": {"context1": "Eventually, Emory acquired enough \"moving violations\" to lose his license and had to attend traffic school on Saturday mornings to get it back.", "context2": "It was a blow and we took it lying down.", "target_sentence": "I'd stopped casting about in my mind for some agency or authority that would right these wrongs.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'stopped'}", "trigger_type": "aspectual_verbs", "annotator": "AW", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [93.69, 99.28, 10.74, 100.0, 99.64]}}
+{"uid": "2224", "premise": "Yes, that's what Jim Thompson told me. He just lay there and held her and he kept saying, somebody help me, even after they were on shore", "hypothesis": "he had been saying \"somebody help me\"", "label": "E", "metadata": {"context1": "Yes, that's what Jim Thompson told me.", "context2": "He just lay there and held her", "target_sentence": "and he kept saying, somebody help me, even after they were on shore", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'kept'}", "trigger_type": "aspectual_verbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 99.02, 100.0]}}
+{"uid": "2225-neg", "premise": " Of the twenty-five nims he planted, only three survived. Sultan didn't continue planting new ones.", "hypothesis": "Sultan had been planting nims.", "label": "E", "metadata": {"context1": "", "context2": "Of the twenty-five nims he planted, only three survived.", "target_sentence": "Sultan didn't continue planting new ones.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'continued'}", "trigger_type": "aspectual_verbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.62, 98.99, 99.75, 97.14, 100.0]}}
+{"uid": "2225", "premise": " Of the twenty-five nims he planted, only three survived. Sultan continued planting new ones.", "hypothesis": "Sultan had been planting nims.", "label": "E", "metadata": {"context1": "", "context2": "Of the twenty-five nims he planted, only three survived.", "target_sentence": "Sultan continued planting new ones.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'continued'}", "trigger_type": "aspectual_verbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2227-neg", "premise": "What could you do that would be anyways near enough? I could feel the greatness of life and death, and the great world endless as the sky swelling out beyond this little one. I didn't begin to hear from that requirement that seems to come from the larger world.", "hypothesis": "I hadn't been hearing from that requirement that seems to come from the larger world.", "label": "E", "metadata": {"context1": "What could you do that would be anyways near enough?", "context2": "I could feel the greatness of life and death, and the great world endless as the sky swelling out beyond this little one.", "target_sentence": "I didn't begin to hear from that requirement that seems to come from the larger world.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "AW", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [81.86, 100.0, 90.06, 100.0, 99.12]}}
+{"uid": "2227", "premise": "What could you do that would be anyways near enough? I could feel the greatness of life and death, and the great world endless as the sky swelling out beyond this little one. I began to hear from that requirement that seems to come from the larger world.", "hypothesis": "I hadn't been hearing from that requirement that seems to come from the larger world.", "label": "N", "metadata": {"context1": "What could you do that would be anyways near enough?", "context2": "I could feel the greatness of life and death, and the great world endless as the sky swelling out beyond this little one.", "target_sentence": "I began to hear from that requirement that seems to come from the larger world.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "AW", "nli_labels": ["N", "C", "N", "N", "N"], "ratings": [88.33, 0.0, 89.44, 88.04, 69.51]}}
+{"uid": "2228-neg", "premise": "DARZNIK: That's right. She didn't start to record a series of cassette tapes in her house.", "hypothesis": "She had not been recording a series of cassette tapes in her house.", "label": "E", "metadata": {"context1": "DARZNIK:", "context2": "That's right.", "target_sentence": "She didn't start to record a series of cassette tapes in her house.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'started'}", "trigger_type": "aspectual_verbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [96.93, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2228", "premise": "DARZNIK: That's right. She started to record a series of cassette tapes in her house.", "hypothesis": "She had not been recording a series of cassette tapes in her house.", "label": "C", "metadata": {"context1": "DARZNIK:", "context2": "That's right.", "target_sentence": "She started to record a series of cassette tapes in her house.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'started'}", "trigger_type": "aspectual_verbs", "annotator": "AW", "nli_labels": ["C", "E", "C", "C", "E"], "ratings": [0.63, 100.0, 0.23, 0.0, 94.61]}}
+{"uid": "2229-neg", "premise": "RICHARD LAWSON: And I can't move and I didn't begin to try to accept this process of being in the water and drowning.", "hypothesis": "I hadn't previously tried to accept the process of being in the water and drowning.", "label": "E", "metadata": {"context1": "RICHARD LAWSON:", "context2": "And I can't move", "target_sentence": "and I didn't begin to try to accept this process of being in the water and drowning.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "AW", "nli_labels": ["C", "E", "E", "E", "N"], "ratings": [0.0, 100.0, 100.0, 96.2, 83.21]}}
+{"uid": "2229", "premise": "RICHARD LAWSON: And I can't move and I began to try to accept this process of being in the water and drowning.", "hypothesis": "I hadn't previously tried to accept the process of being in the water and drowning.", "label": "E", "metadata": {"context1": "RICHARD LAWSON:", "context2": "And I can't move", "target_sentence": "and I began to try to accept this process of being in the water and drowning.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "AW", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 91.35, 100.0, 100.0, 99.16]}}
+{"uid": "223-neg", "premise": " A daunting custody case is playing out in Virginia this morning. Last week, authorities didn't confirmed that two little girls were sent home with the wrong families after they were born at the University of Virginia Medical Center three years ago.", "hypothesis": "two little girls were sent home with the wrong families after they were born at the University of Virginia Medical Center three years ago.", "label": "E", "metadata": {"context1": "", "context2": "A daunting custody case is playing out in Virginia this morning.", "target_sentence": "Last week, authorities didn't confirmed that two little girls were sent home with the wrong families after they were born at the University of Virginia Medical Center three years ago.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'confirmed', 'embedded_clause': 'that two little girls were sent home with the wrong families after they were born at the University of Virginia Medical Center three years ago'}", "trigger_type": "clause_embedding_predicates", "annotator": "ZZ", "nli_labels": ["E", "N", "E", "E", "N"], "ratings": [94.4, 18.14, 89.8, 100.0, 29.94]}}
+{"uid": "223", "premise": " A daunting custody case is playing out in Virginia this morning. Last week, authorities confirmed that two little girls were sent home with the wrong families after they were born at the University of Virginia Medical Center three years ago.", "hypothesis": "two little girls were sent home with the wrong families after they were born at the University of Virginia Medical Center three years ago.", "label": "E", "metadata": {"context1": "", "context2": "A daunting custody case is playing out in Virginia this morning.", "target_sentence": "Last week, authorities confirmed that two little girls were sent home with the wrong families after they were born at the University of Virginia Medical Center three years ago.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'confirmed', 'embedded_clause': 'that two little girls were sent home with the wrong families after they were born at the University of Virginia Medical Center three years ago'}", "trigger_type": "clause_embedding_predicates", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 100.0, 100.0, 92.17, 100.0]}}
+{"uid": "2232-neg", "premise": "How many people who flying on commercial jetliners can know that about their pilots? KNOTTS: Well, the-like I said, we aren't just starting to offer this training, and we have just signed our first major aircraft manufacturer up who has offered to send their pilots, all their pilots through our training starting this spring.", "hypothesis": "We weren't previously offering this training.", "label": "N", "metadata": {"context1": "How many people who flying on commercial jetliners can know that about their pilots?", "context2": "KNOTTS:", "target_sentence": "Well, the-like I said, we aren't just starting to offer this training, and we have just signed our first major aircraft manufacturer up who has offered to send their pilots, all their pilots through our training starting this spring.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'starting'}", "trigger_type": "aspectual_verbs", "annotator": "AW", "nli_labels": ["N", "N", "N", "N", "C"], "ratings": [21.54, 5.81, 85.24, 51.5, 1.38]}}
+{"uid": "2232", "premise": "How many people who flying on commercial jetliners can know that about their pilots? KNOTTS: Well, the-like I said, we are just starting to offer this training, and we have just signed our first major aircraft manufacturer up who has offered to send their pilots, all their pilots through our training starting this spring.", "hypothesis": "We weren't previously offering this training.", "label": "E", "metadata": {"context1": "How many people who flying on commercial jetliners can know that about their pilots?", "context2": "KNOTTS:", "target_sentence": "Well, the-like I said, we are just starting to offer this training, and we have just signed our first major aircraft manufacturer up who has offered to send their pilots, all their pilots through our training starting this spring.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'starting'}", "trigger_type": "aspectual_verbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [96.31, 100.0, 100.0, 99.79, 100.0]}}
+{"uid": "2233-neg", "premise": "Marty floated a milk carton boat. We stood on the porch and stared at our lakefront view. My brother didn't begin rolling up his pants' legs.", "hypothesis": "My brother hadn't been rolling up his pants' legs.", "label": "E", "metadata": {"context1": "Marty floated a milk carton boat.", "context2": "We stood on the porch and stared at our lakefront view.", "target_sentence": "My brother didn't begin rolling up his pants' legs.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [93.1, 100.0, 100.0, 71.95, 100.0]}}
+{"uid": "2233", "premise": "Marty floated a milk carton boat. We stood on the porch and stared at our lakefront view. My brother began rolling up his pants' legs.", "hypothesis": "My brother hadn't been rolling up his pants' legs.", "label": "E", "metadata": {"context1": "Marty floated a milk carton boat.", "context2": "We stood on the porch and stared at our lakefront view.", "target_sentence": "My brother began rolling up his pants' legs.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.2, 100.0, 100.0, 100.0, 98.16]}}
+{"uid": "2235-neg", "premise": "  As the Lac du Flambeau band joined the procession, our men didn't begin to drum.", "hypothesis": "Our men hadn't been drumming before.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "As the Lac du Flambeau band joined the procession, our men didn't begin to drum.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "AW", "nli_labels": ["N", "E", "E", "N", "E"], "ratings": [60.71, 99.88, 100.0, 48.65, 99.43]}}
+{"uid": "2235", "premise": "  As the Lac du Flambeau band joined the procession, our men began to drum.", "hypothesis": "Our men hadn't been drumming before.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "As the Lac du Flambeau band joined the procession, our men began to drum.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "AW", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 95.96, 100.0, 100.0, 98.99]}}
+{"uid": "2236-neg", "premise": "It wasn't no love, either. It was Kester French, drunk. He's forced other girls, too, and the town doesn't know what he does, but...", "hypothesis": "Kester French does something.", "label": "E", "metadata": {"context1": "It wasn't no love, either.", "context2": "It was Kester French, drunk.", "target_sentence": "He's forced other girls, too, and the town doesn't know what he does, but...", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'knows', 'embedded_question': 'what he does'}", "trigger_type": "embedded_question", "annotator": "AW", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [99.81, 76.86, 97.04, 100.0, 100.0]}}
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+{"uid": "2239-neg", "premise": " \" The fun part of the show is you know what's going to come, \" says Christopher Hartop, a silver appraiser from Christie's in New York.", "hypothesis": "Something is coing to come.", "label": "E", "metadata": {"context1": "", "context2": "\" The fun part of the show is", "target_sentence": "you know what's going to come, \" says Christopher Hartop, a silver appraiser from Christie's in New York.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'know', 'embedded_question': \"what 's going to come\"}", "trigger_type": "embedded_question", "annotator": "AW", "nli_labels": ["N", "E", "E", "N", "E"], "ratings": [89.71, 100.0, 95.14, 92.79, 100.0]}}
+{"uid": "2239", "premise": " \" The fun part of the show is you never know what's going to come, \" says Christopher Hartop, a silver appraiser from Christie's in New York.", "hypothesis": "Something is coing to come.", "label": "E", "metadata": {"context1": "", "context2": "\" The fun part of the show is", "target_sentence": "you never know what's going to come, \" says Christopher Hartop, a silver appraiser from Christie's in New York.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'know', 'embedded_question': \"what 's going to come\"}", "trigger_type": "embedded_question", "annotator": "AW", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [92.17, 75.47, 100.0, 100.0, 100.0]}}
+{"uid": "224", "premise": "By comparison, all four of the \"peer\" institutions used by the Colorado Department of Higher Education to compare state-funding levels are run by presidents who worked as faculty members or college administrators before they got the job. // Benson's plan of action // Benson said that, as president, he would spend 25 percent of his time managing the four-campus system and 75 percent \"outside\" peddling CU's cause in Washington, D.C., at the statehouse and in the business community. //", "hypothesis": "as president, Benson would spend 25 percent of his time managing the four-campus system and 75 percent \"outside\" peddling CU's cause in Washington, D.C., at the statehouse and in the business community. //", "label": "E", "metadata": {"context1": "By comparison, all four of the \"peer\" institutions used by the Colorado Department of Higher Education to compare state-funding levels are run by presidents who worked as faculty members or college administrators before they got the job. //", "context2": "Benson's plan of action //", "target_sentence": "Benson said that, as president, he would spend 25 percent of his time managing the four-campus system and 75 percent \"outside\" peddling CU's cause in Washington, D.C., at the statehouse and in the business community. //", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'said', 'embedded_clause': 'that , as president , he would spend 25 percent of his time managing the four - campus system and 75 percent \" outside \" peddling CU \\'s cause in Washington , D.C. , at the statehouse and in the business community'}", "trigger_type": "clause_embedding_predicates", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 99.16, 98.73, 84.29, 87.56]}}
+{"uid": "2240-neg", "premise": " She locked the door. \"I don't need to know where you are or that you're safe, while I figure out the reverse spell,\" she said.", "hypothesis": "You are somewhere.", "label": "E", "metadata": {"context1": "", "context2": "She locked the door.", "target_sentence": "\"I don't need to know where you are or that you're safe, while I figure out the reverse spell,\" she said.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': 'where you are'}", "trigger_type": "embedded_question", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [100.0, 100.0, 100.0, 100.0, 78.82]}}
+{"uid": "2240", "premise": " She locked the door. \"I need to know where you are and that you're safe, while I figure out the reverse spell,\" she said.", "hypothesis": "You are somewhere.", "label": "E", "metadata": {"context1": "", "context2": "She locked the door.", "target_sentence": "\"I need to know where you are and that you're safe, while I figure out the reverse spell,\" she said.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': 'where you are'}", "trigger_type": "embedded_question", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.88, 99.91, 100.0, 100.0, 99.54]}}
+{"uid": "2242-neg", "premise": "But I'll be honest with you. Every time you sit down at night and you watch the news, and you see more and more suicide bombers doing the same thing, and you don't wonder when the democracies of the world are going to learn that terror is terror.", "hypothesis": "The democracies of the world are going to learn that terror is terror.", "label": "N", "metadata": {"context1": "But I'll be honest with you.", "context2": "Every time you sit down at night", "target_sentence": "and you watch the news, and you see more and more suicide bombers doing the same thing, and you don't wonder when the democracies of the world are going to learn that terror is terror.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'wonder', 'embedded_question': 'when the democracies of the world are going to learn that terror is terror'}", "trigger_type": "embedded_question", "annotator": "AW", "nli_labels": ["N", "N", "C", "N", "N"], "ratings": [93.76, 74.96, 0.88, 50.6, 87.27]}}
+{"uid": "2242", "premise": "But I'll be honest with you. Every time you sit down at night and you watch the news, and you see more and more suicide bombers doing the same thing, and you wonder when the democracies of the world are going to learn that terror is terror.", "hypothesis": "The democracies of the world are going to learn that terror is terror.", "label": "N", "metadata": {"context1": "But I'll be honest with you.", "context2": "Every time you sit down at night", "target_sentence": "and you watch the news, and you see more and more suicide bombers doing the same thing, and you wonder when the democracies of the world are going to learn that terror is terror.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'wonder', 'embedded_question': 'when the democracies of the world are going to learn that terror is terror'}", "trigger_type": "embedded_question", "annotator": "AW", "nli_labels": ["N", "N", "N", "E", "E"], "ratings": [25.3, 49.55, 45.06, 94.33, 99.43]}}
+{"uid": "2244-neg", "premise": "BY LATE 2007 MURPHY KNEW HE WOULD LOSE his mother sooner rather than later. He understood how that loss would change him.", "hypothesis": "The loss of his mother would change Murphy.", "label": "E", "metadata": {"context1": "BY", "context2": "LATE 2007 MURPHY KNEW HE WOULD LOSE his mother sooner rather than later.", "target_sentence": "He understood how that loss would change him.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'understand', 'embedded_question': 'how that loss would change him'}", "trigger_type": "embedded_question", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.46, 99.34, 97.04, 100.0]}}
+{"uid": "2244", "premise": "BY LATE 2007 MURPHY KNEW HE WOULD LOSE his mother sooner rather than later. He didn't understand how that loss would change him.", "hypothesis": "The loss of his mother would change Murphy.", "label": "E", "metadata": {"context1": "BY", "context2": "LATE 2007 MURPHY KNEW HE WOULD LOSE his mother sooner rather than later.", "target_sentence": "He didn't understand how that loss would change him.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'understand', 'embedded_question': 'how that loss would change him'}", "trigger_type": "embedded_question", "annotator": "AW", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [98.33, 95.53, 100.0, 100.0, 100.0]}}
+{"uid": "2245-neg", "premise": "So she moved back to LA. She got a job with a homecare agency and lived with Stanley again. She didn't wonder what her brother and his wife said about her when they were alone.", "hypothesis": "Her brother and his wife said things about her when they were alone.", "label": "N", "metadata": {"context1": "So she moved back to LA.", "context2": "She got a job with a homecare agency and lived with Stanley again.", "target_sentence": "She didn't wonder what her brother and his wife said about her when they were alone.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'wondered', 'embedded_question': 'what her brother and his wife said about her when they were alone'}", "trigger_type": "embedded_question", "annotator": "AW", "nli_labels": ["N", "E", "E", "N", "N"], "ratings": [91.35, 99.62, 91.1, 13.03, 50.45]}}
+{"uid": "2245", "premise": "So she moved back to LA. She got a job with a homecare agency and lived with Stanley again. She wondered what her brother and his wife said about her when they were alone.", "hypothesis": "Her brother and his wife said things about her when they were alone.", "label": "N", "metadata": {"context1": "So she moved back to LA.", "context2": "She got a job with a homecare agency and lived with Stanley again.", "target_sentence": "She wondered what her brother and his wife said about her when they were alone.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'wondered', 'embedded_question': 'what her brother and his wife said about her when they were alone'}", "trigger_type": "embedded_question", "annotator": "AW", "nli_labels": ["N", "N", "E", "N", "N"], "ratings": [62.89, 74.18, 97.35, 50.9, 90.76]}}
+{"uid": "2247-neg", "premise": "\"I don't feel so tall,\" said Evelyn, pointing at an enormous oak tree ahead.  I don't remember when I was shorter than the land.", "hypothesis": "I was once shorter than the land.", "label": "E", "metadata": {"context1": "\"I don't feel so tall,\" said Evelyn, pointing at an enormous oak tree ahead.", "context2": "", "target_sentence": "I don't remember when I was shorter than the land.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'remember', 'embedded_question': 'when I was shorter than the land'}", "trigger_type": "embedded_question", "annotator": "AW", "nli_labels": ["N", "E", "E", "C", "E"], "ratings": [75.09, 100.0, 99.66, 0.0, 91.6]}}
+{"uid": "2248-neg", "premise": " \"I consider myself one of the most emotional and passionate Mad River skiers alive,\" she told me. \" But any business has to be able to evolve and adapt, and I don't find myself wondering what makes Mad River unique.", "hypothesis": "Something makes Mad River unique.", "label": "N", "metadata": {"context1": "", "context2": "\"I consider myself one of the most emotional and passionate Mad River skiers alive,\" she told me. \"", "target_sentence": "But any business has to be able to evolve and adapt, and I don't find myself wondering what makes Mad River unique.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'wondering', 'embedded_question': 'what makes Mad River unique'}", "trigger_type": "embedded_question", "annotator": "AW", "nli_labels": ["N", "N", "E", "N", "N"], "ratings": [19.87, 13.43, 90.59, 45.36, 16.03]}}
+{"uid": "2248", "premise": " \"I consider myself one of the most emotional and passionate Mad River skiers alive,\" she told me. \" But any business has to be able to evolve and adapt, and I find myself wondering what makes Mad River unique.", "hypothesis": "Something makes Mad River unique.", "label": "E", "metadata": {"context1": "", "context2": "\"I consider myself one of the most emotional and passionate Mad River skiers alive,\" she told me. \"", "target_sentence": "But any business has to be able to evolve and adapt, and I find myself wondering what makes Mad River unique.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'wondering', 'embedded_question': 'what makes Mad River unique'}", "trigger_type": "embedded_question", "annotator": "AW", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [81.52, 100.0, 93.17, 80.83, 100.0]}}
+{"uid": "2251-neg", "premise": "I don't think she would change a thing. Dustin Brandt, high school friend: There were 500 people at her memorial in Arlington, Vinjinia, 900 in Vermont. I don't wonder how many people would have shown up if she'd had a long life.", "hypothesis": "People would have shown up if she'd had a long life.", "label": "E", "metadata": {"context1": "I don't think she would change a thing.", "context2": "Dustin Brandt, high school friend: There were 500 people at her memorial in Arlington, Vinjinia, 900 in Vermont.", "target_sentence": "I don't wonder how many people would have shown up if she'd had a long life.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'wonder', 'embedded_question': \"how manv people would have shown up il she 'd had a long life\"}", "trigger_type": "embedded_question", "annotator": "AW", "nli_labels": ["E", "E", "N", "E", "C"], "ratings": [100.0, 100.0, 50.15, 99.25, 1.84]}}
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+{"uid": "2258-neg", "premise": "but he wasn't used to having so much time with nothing specific to do, and he was needy in a way that scared me, unable to be by himself. He followed me around the house, asked for my company on every errand and chore, wanted to come along even when I was going out with friends. Later, in private, they would not want to know what was wrong with him.", "hypothesis": "There was something wrong with him.", "label": "E", "metadata": {"context1": "but he wasn't used to having so much time with nothing specific to do, and he was needy in a way that scared me, unable to be by himself.", "context2": "He followed me around the house, asked for my company on every errand and chore, wanted to come along even when I was going out with friends.", "target_sentence": "Later, in private, they would not want to know what was wrong with him.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': 'what was wrong with him'}", "trigger_type": "embedded_question", "annotator": "AW", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [95.14, 80.36, 100.0, 99.77, 100.0]}}
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+{"uid": "226-neg", "premise": "But I also think it's clear to the Russians that their operation in Chechnya is one of the factors. I think we ought to make that explicit in delaying the disbursement of the next amount of IMF money. I don't think there are things that you can do, particularly with our European allies in looking at a systems--assistance programs to Russia and redirecting that money towards humanitarian concerns.", "hypothesis": "There are things that you can do, particularly with our European allies in looking at a systems--assistance programs to Russia and redirecting that money towards humanitarian concerns.", "label": "N", "metadata": {"context1": "But I also think it's clear to the Russians that their operation in Chechnya is one of the factors.", "context2": "I think we ought to make that explicit in delaying the disbursement of the next amount of IMF money.", "target_sentence": "I don't think there are things that you can do, particularly with our European allies in looking at a systems--assistance programs to Russia and redirecting that money towards humanitarian concerns.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': 'there are also things that you can do , particularly with our European allies in looking at a systems -- assistance programs to Russia and redirecting that money towards humanitarian concerns'}", "trigger_type": "clause_embedding_predicates", "annotator": "ZZ", "nli_labels": ["N", "N", "N", "E", "C"], "ratings": [71.81, 19.05, 15.18, 100.0, 0.49]}}
+{"uid": "226", "premise": "But I also think it's clear to the Russians that their operation in Chechnya is one of the factors. I think we ought to make that explicit in delaying the disbursement of the next amount of IMF money. I think there are things that you can do, particularly with our European allies in looking at a systems--assistance programs to Russia and redirecting that money towards humanitarian concerns.", "hypothesis": "There are things that you can do, particularly with our European allies in looking at a systems--assistance programs to Russia and redirecting that money towards humanitarian concerns.", "label": "E", "metadata": {"context1": "But I also think it's clear to the Russians that their operation in Chechnya is one of the factors.", "context2": "I think we ought to make that explicit in delaying the disbursement of the next amount of IMF money.", "target_sentence": "I think there are things that you can do, particularly with our European allies in looking at a systems--assistance programs to Russia and redirecting that money towards humanitarian concerns.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': 'there are also things that you can do , particularly with our European allies in looking at a systems -- assistance programs to Russia and redirecting that money towards humanitarian concerns'}", "trigger_type": "clause_embedding_predicates", "annotator": "ZZ", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [67.02, 100.0, 98.41, 99.77, 100.0]}}
+{"uid": "2260-neg", "premise": "Speaker B: Is that a big theme this year, do you think, among Republican voters?\nSpeaker A: so. When you don't see what's happening on the streets of America and streets of Europe, whether it's--whether the terrorist's acts are fomented by domestic terrorists unrelated to do ISIL, or whether it's ISIL inspired, people are worried about safety in their own community.", "hypothesis": "Something is happening on the streets of America and the streets of Europe.", "label": "E", "metadata": {"context1": "Is that a big theme this year, do you think, among Republican voters?", "context2": "so.", "target_sentence": "When you don't see what's happening on the streets of America and streets of Europe, whether it's--whether the terrorist's acts are fomented by domestic terrorists unrelated to do ISIL, or whether it's ISIL inspired, people are worried about safety in their own community.", "speaker_context1": "VAN-SUSTEREN", "speaker_context2": "MCCONNELL", "speaker_target": "MCCONNELL", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'see', 'embedded_question': \"what 's happening on the streets of America and streets of Europe\"}", "trigger_type": "embedded_question", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.12, 99.22, 100.0, 100.0, 95.01]}}
+{"uid": "2260", "premise": "Speaker B: Is that a big theme this year, do you think, among Republican voters?\nSpeaker A: so. When you see what's happening on the streets of America and streets of Europe, whether it's--whether the terrorist's acts are fomented by domestic terrorists unrelated to do ISIL, or whether it's ISIL inspired, people are worried about safety in their own community.", "hypothesis": "Something is happening on the streets of America and the streets of Europe.", "label": "E", "metadata": {"context1": "Is that a big theme this year, do you think, among Republican voters?", "context2": "so.", "target_sentence": "When you see what's happening on the streets of America and streets of Europe, whether it's--whether the terrorist's acts are fomented by domestic terrorists unrelated to do ISIL, or whether it's ISIL inspired, people are worried about safety in their own community.", "speaker_context1": "VAN-SUSTEREN", "speaker_context2": "MCCONNELL", "speaker_target": "MCCONNELL", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'see', 'embedded_question': \"what 's happening on the streets of America and streets of Europe\"}", "trigger_type": "embedded_question", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 96.93, 100.0, 100.0, 94.4]}}
+{"uid": "2264-neg", "premise": "Place images in the media have the potential to have tremendous impact on the people of that particular location and can perpetuate or even legitimize social inequalities. This is especially important for understanding the history of Haiti and its geopolitical relationships with surrounding nations. Eli Avraham did not describe how representation predominantly affects three groups: the general public, the policymakers, and the inhabitants of that place.", "hypothesis": "Representation predominantly affects three groups: the general public, the policymakers, and the inhabitants of that place.", "label": "E", "metadata": {"context1": "Place images in the media have the potential to have tremendous impact on the people of that particular location and can perpetuate or even legitimize social inequalities.", "context2": "This is especially important for understanding the history of Haiti and its geopolitical relationships with surrounding nations.", "target_sentence": "Eli Avraham did not describe how representation predominantly affects three groups: the general public, the policymakers, and the inhabitants of that place.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'described', 'embedded_question': 'how representation predominantly affects three groups : the general public , the policymakers , and the inhabitants of that place ( 2000 )'}", "trigger_type": "embedded_question", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [99.57, 99.93, 100.0, 100.0, 71.14]}}
+{"uid": "2264", "premise": "Place images in the media have the potential to have tremendous impact on the people of that particular location and can perpetuate or even legitimize social inequalities. This is especially important for understanding the history of Haiti and its geopolitical relationships with surrounding nations. Eli Avraham described how representation predominantly affects three groups: the general public, the policymakers, and the inhabitants of that place.", "hypothesis": "Representation predominantly affects three groups: the general public, the policymakers, and the inhabitants of that place.", "label": "E", "metadata": {"context1": "Place images in the media have the potential to have tremendous impact on the people of that particular location and can perpetuate or even legitimize social inequalities.", "context2": "This is especially important for understanding the history of Haiti and its geopolitical relationships with surrounding nations.", "target_sentence": "Eli Avraham described how representation predominantly affects three groups: the general public, the policymakers, and the inhabitants of that place.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'described', 'embedded_question': 'how representation predominantly affects three groups : the general public , the policymakers , and the inhabitants of that place ( 2000 )'}", "trigger_type": "embedded_question", "annotator": "AW", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 95.46, 100.0, 100.0, 100.0]}}
+{"uid": "2266-neg", "premise": "We do not believe they are at this moment. We'll continue to monitor this. We can hear what Judge Ito's saying.", "hypothesis": "Judge Ito is saying something", "label": "E", "metadata": {"context1": "We do not believe they are at this moment.", "context2": "We'll continue to monitor this.", "target_sentence": "We can hear what Judge Ito's saying.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'hear', 'embedded_question': \"what Judge Ito 's saying\"}", "trigger_type": "embedded_question", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.46, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2266", "premise": "We do not believe they are at this moment. We'll continue to monitor this. We can't hear what Judge Ito's saying.", "hypothesis": "Judge Ito is saying something", "label": "E", "metadata": {"context1": "We do not believe they are at this moment.", "context2": "We'll continue to monitor this.", "target_sentence": "We can't hear what Judge Ito's saying.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'hear', 'embedded_question': \"what Judge Ito 's saying\"}", "trigger_type": "embedded_question", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2269-neg", "premise": "Front-end rigidity keeps the bike going where you point it, no questions asked. Nothing is perfect, though, not even the Mojo. One ride on a trail frequented by cows and you won't see why the bottom of the down tube is a good place for a battery, not a water bottle.", "hypothesis": "The bottom of the down tube is a good place for a battery, not a water bottle.", "label": "E", "metadata": {"context1": "Front-end rigidity keeps the bike going where you point it, no questions asked.", "context2": "Nothing is perfect, though, not even the Mojo.", "target_sentence": "One ride on a trail frequented by cows and you won't see why the bottom of the down tube is a good place for a battery, not a water bottle.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'see', 'embedded_question': 'why the bottom of the down tube is a good place for a battery , not a water bottle'}", "trigger_type": "embedded_question", "annotator": "AW", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [99.75, 100.0, 78.46, 100.0, 100.0]}}
+{"uid": "2269", "premise": "Front-end rigidity keeps the bike going where you point it, no questions asked. Nothing is perfect, though, not even the Mojo. One ride on a trail frequented by cows and you'll see why the bottom of the down tube is a good place for a battery, not a water bottle.", "hypothesis": "The bottom of the down tube is a good place for a battery, not a water bottle.", "label": "E", "metadata": {"context1": "Front-end rigidity keeps the bike going where you point it, no questions asked.", "context2": "Nothing is perfect, though, not even the Mojo.", "target_sentence": "One ride on a trail frequented by cows and you'll see why the bottom of the down tube is a good place for a battery, not a water bottle.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'see', 'embedded_question': 'why the bottom of the down tube is a good place for a battery , not a water bottle'}", "trigger_type": "embedded_question", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [85.66, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "227-neg", "premise": "And if they were, they're probably gone now? Dr. KISSINGER: And I know that there were some there", "hypothesis": "There were some there.", "label": "E", "metadata": {"context1": "And if they were, they're probably gone now?", "context2": "Dr. KISSINGER:", "target_sentence": "And I know that there were some there", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'factive': 'know', 'embedded_clause': 'that there were any there'}", "trigger_type": "clause_embedding_predicates", "annotator": "ZZ", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 99.06, 86.27, 99.12, 100.0]}}
+{"uid": "227", "premise": "And if they were, they're probably gone now? Dr. KISSINGER: And I don't know that there were any there", "hypothesis": "There were some there.", "label": "N", "metadata": {"context1": "And if they were, they're probably gone now?", "context2": "Dr. KISSINGER:", "target_sentence": "And I don't know that there were any there", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'factive': 'know', 'embedded_clause': 'that there were any there'}", "trigger_type": "clause_embedding_predicates", "annotator": "ZZ", "nli_labels": ["N", "N", "N", "E", "E"], "ratings": [37.4, 36.25, 5.39, 98.99, 99.96]}}
+{"uid": "2274-neg", "premise": "Hours after the Predator mission ended, Border Patrol agents called to say they've captured 18 of the 31 illegal immigrants in that group. Others got away. We know where they are now.", "hypothesis": "The immigrants that got away are somewhere.", "label": "E", "metadata": {"context1": "Hours after the Predator mission ended, Border Patrol agents called to say they've captured 18 of the 31 illegal immigrants in that group.", "context2": "Others got away.", "target_sentence": "We know where they are now.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'know', 'embedded_question': 'where they are now'}", "trigger_type": "embedded_question", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 96.93, 99.37]}}
+{"uid": "2274", "premise": "Hours after the Predator mission ended, Border Patrol agents called to say they've captured 18 of the 31 illegal immigrants in that group. Others got away. We don't know where they are now.", "hypothesis": "The immigrants that got away are somewhere.", "label": "E", "metadata": {"context1": "Hours after the Predator mission ended, Border Patrol agents called to say they've captured 18 of the 31 illegal immigrants in that group.", "context2": "Others got away.", "target_sentence": "We don't know where they are now.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'know', 'embedded_question': 'where they are now'}", "trigger_type": "embedded_question", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.54, 100.0, 98.16, 100.0]}}
+{"uid": "2277-neg", "premise": "The story began provocatively enough-- \"' I don't regret setting bombs,' Bill Ayers said \" --but nobody read it. Indeed, the edition of the Times published that morning might count as the least-read edition in the paper's history. That means the story was forgotten.", "hypothesis": "The story was forgotten.", "label": "E", "metadata": {"context1": "The story began provocatively enough-- \"' I don't regret setting bombs,' Bill Ayers said \" --but nobody read it.", "context2": "Indeed, the edition of the Times published that morning might count as the least-read edition in the paper's history.", "target_sentence": "That means the story was forgotten.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'factive': 'mean', 'embedded_clause': 'the story was forgotten'}", "trigger_type": "clause_embedding_predicates", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.34, 99.99, 100.0, 100.0, 99.85]}}
+{"uid": "2277", "premise": "The story began provocatively enough-- \"' I don't regret setting bombs,' Bill Ayers said \" --but nobody read it. Indeed, the edition of the Times published that morning might count as the least-read edition in the paper's history. That doesn't mean the story was forgotten.", "hypothesis": "The story was forgotten.", "label": "C", "metadata": {"context1": "The story began provocatively enough-- \"' I don't regret setting bombs,' Bill Ayers said \" --but nobody read it.", "context2": "Indeed, the edition of the Times published that morning might count as the least-read edition in the paper's history.", "target_sentence": "That doesn't mean the story was forgotten.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'factive': 'mean', 'embedded_clause': 'the story was forgotten'}", "trigger_type": "clause_embedding_predicates", "annotator": "AW", "nli_labels": ["N", "C", "C", "C", "N"], "ratings": [33.97, 1.12, 0.0, 0.0, 29.26]}}
+{"uid": "228-neg", "premise": " TILLMAN: Its economic issues, the war that s going on right now, the war against terror, as well as the one we have in Iraq, I mean, the war against terror is kind of hard to define in where its at, and I don't think those are the two main issues for me right now.", "hypothesis": "those are the two main issues for me right now.", "label": "C", "metadata": {"context1": "", "context2": "TILLMAN:", "target_sentence": "Its economic issues, the war that s going on right now, the war against terror, as well as the one we have in Iraq, I mean, the war against terror is kind of hard to define in where its at, and I don't think those are the two main issues for me right now.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': 'those are the two main issues for me right now'}", "trigger_type": "clause_embedding_predicates", "annotator": "ZZ", "nli_labels": ["E", "C", "N", "C", "C"], "ratings": [98.37, 1.08, 6.24, 0.0, 0.0]}}
+{"uid": "228", "premise": " TILLMAN: Its economic issues, the war that s going on right now, the war against terror, as well as the one we have in Iraq, I mean, the war against terror is kind of hard to define in where its at, but I think those are the two main issues for me right now.", "hypothesis": "those are the two main issues for me right now.", "label": "E", "metadata": {"context1": "", "context2": "TILLMAN:", "target_sentence": "Its economic issues, the war that s going on right now, the war against terror, as well as the one we have in Iraq, I mean, the war against terror is kind of hard to define in where its at, but I think those are the two main issues for me right now.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': 'those are the two main issues for me right now'}", "trigger_type": "clause_embedding_predicates", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2282", "premise": "This is a question that everyone asks in our region. Israel's neighbors--Iran's neighbors know that Iran will become even more aggressive and sponsor even more terrorism when its economy is unshackled and it's been given a clear path to the bomb. And many of these neighbors say they'll respond by racing to get nuclear weapons of their own.", "hypothesis": "Many of these neighbors will respond by racing to get nuclear weapons of their own", "label": "N", "metadata": {"context1": "This is a question that everyone asks in our region.", "context2": "Israel's neighbors--Iran's neighbors know that Iran will become even more aggressive and sponsor even more terrorism when its economy is unshackled and it's been given a clear path to the bomb.", "target_sentence": "And many of these neighbors say they'll respond by racing to get nuclear weapons of their own.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'say', 'embedded_clause': \"they 'll respond by racing to get nuclear weapons of their own\"}", "trigger_type": "clause_embedding_predicates", "annotator": "AW", "nli_labels": ["N", "N", "N", "N", "E"], "ratings": [88.61, 95.08, 76.23, 50.75, 100.0]}}
+{"uid": "2285-neg", "premise": "Trouble with a turnaround <  Bove doesn't say Prince inherited a mammoth company with a lot to fix.", "hypothesis": "Prince inherited a mammoth company with a lot to fix.", "label": "N", "metadata": {"context1": "Trouble with a turnaround <", "context2": "", "target_sentence": "Bove doesn't say Prince inherited a mammoth company with a lot to fix.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'says', 'embedded_clause': 'Prince inherited a mammoth company with a lot to fix'}", "trigger_type": "clause_embedding_predicates", "annotator": "AW", "nli_labels": ["N", "N", "N", "N", "C"], "ratings": [90.85, 66.74, 7.83, 5.06, 1.46]}}
+{"uid": "2285", "premise": "Trouble with a turnaround <  Bove says Prince inherited a mammoth company with a lot to fix.", "hypothesis": "Prince inherited a mammoth company with a lot to fix.", "label": "E", "metadata": {"context1": "Trouble with a turnaround <", "context2": "", "target_sentence": "Bove says Prince inherited a mammoth company with a lot to fix.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'says', 'embedded_clause': 'Prince inherited a mammoth company with a lot to fix'}", "trigger_type": "clause_embedding_predicates", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.33, 100.0, 100.0, 100.0, 99.83]}}
+{"uid": "2288-neg", "premise": "And when those moves exist, I'm going to take them, even if the percentage is lower than what I want it to be. More times than not, I don't take the 0% shots. \" Bad Brad' Keselowski doesn't want to be cast as NASCAR's villain, but he does think he is one.", "hypothesis": "Bad Brad' Keselowski is NASCAR's villain.", "label": "N", "metadata": {"context1": "And when those moves exist, I'm going to take them, even if the percentage is lower than what I want it to be.", "context2": "More times than not, I don't take the 0% shots. \"", "target_sentence": "Bad Brad' Keselowski doesn't want to be cast as NASCAR's villain, but he does think he is one.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'factive': 'think', 'embedded_clause': 'he is one'}", "trigger_type": "clause_embedding_predicates", "annotator": "AW", "nli_labels": ["N", "N", "N", "E", "N"], "ratings": [61.15, 70.19, 92.72, 99.34, 90.93]}}
+{"uid": "2288", "premise": "And when those moves exist, I'm going to take them, even if the percentage is lower than what I want it to be. More times than not, I don't take the 0% shots. \" Bad Brad' Keselowski doesn't want to be cast as NASCAR's villain, nor does he think he is one.", "hypothesis": "Bad Brad' Keselowski is NASCAR's villain.", "label": "N", "metadata": {"context1": "And when those moves exist, I'm going to take them, even if the percentage is lower than what I want it to be.", "context2": "More times than not, I don't take the 0% shots. \"", "target_sentence": "Bad Brad' Keselowski doesn't want to be cast as NASCAR's villain, nor does he think he is one.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'factive': 'think', 'embedded_clause': 'he is one'}", "trigger_type": "clause_embedding_predicates", "annotator": "AW", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [14.34, 51.95, 85.55, 25.82, 63.03]}}
+{"uid": "2289-neg", "premise": "They didn't even have the guts to go down swinging. KWAME-HOLMAN: Marine commanders do not say capture of the airfield will help prevent high level Iraqi leaders from leaving the country.", "hypothesis": "Capture of the airfield will help prevent high level Iraqi leaders from leaving the country.", "label": "N", "metadata": {"context1": "They didn't even have the guts to go down swinging.", "context2": "KWAME-HOLMAN:", "target_sentence": "Marine commanders do not say capture of the airfield will help prevent high level Iraqi leaders from leaving the country.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'say', 'embedded_clause': 'capture of the airfield will help prevent high level Iraqi leaders from leaving the country'}", "trigger_type": "clause_embedding_predicates", "annotator": "AW", "nli_labels": ["C", "N", "N", "N", "C"], "ratings": [2.07, 39.88, 53.15, 13.53, 0.12]}}
+{"uid": "2289", "premise": "They didn't even have the guts to go down swinging. KWAME-HOLMAN: Marine commanders say capture of the airfield will help prevent high level Iraqi leaders from leaving the country.", "hypothesis": "Capture of the airfield will help prevent high level Iraqi leaders from leaving the country.", "label": "E", "metadata": {"context1": "They didn't even have the guts to go down swinging.", "context2": "KWAME-HOLMAN:", "target_sentence": "Marine commanders say capture of the airfield will help prevent high level Iraqi leaders from leaving the country.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'say', 'embedded_clause': 'capture of the airfield will help prevent high level Iraqi leaders from leaving the country'}", "trigger_type": "clause_embedding_predicates", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.37, 100.0, 100.0, 98.92, 98.58]}}
+{"uid": "2290-neg", "premise": "The case, in 1994, concerned a fall Mr. Batra said he had from a swivel chair in his office. He sued the Brooklyn company that sold him the chair. He did not say the fall had left him with herniated disks, loss of height, worn-down teeth, heart damage and frustration and anger that \"leaks out in certain relationships,\" according to court papers.", "hypothesis": "The fall had left him with herniated disks, loss of height, worn-down teeth, heart damage and frustration and anger.", "label": "N", "metadata": {"context1": "The case, in 1994, concerned a fall Mr. Batra said he had from a swivel chair in his office.", "context2": "He sued the Brooklyn company that sold him the chair.", "target_sentence": "He did not say the fall had left him with herniated disks, loss of height, worn-down teeth, heart damage and frustration and anger that \"leaks out in certain relationships,\" according to court papers.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'said', 'embedded_clause': 'the fall had left him with herniated disks , loss of height , worn - down teeth , heart damage and frustration and anger that \" leaks out in certain relationships , \" according to court papers'}", "trigger_type": "clause_embedding_predicates", "annotator": "AW", "nli_labels": ["C", "N", "C", "N", "N"], "ratings": [0.21, 91.35, 0.0, 5.06, 16.79]}}
+{"uid": "2290", "premise": "The case, in 1994, concerned a fall Mr. Batra said he had from a swivel chair in his office. He sued the Brooklyn company that sold him the chair. He said the fall had left him with herniated disks, loss of height, worn-down teeth, heart damage and frustration and anger that \"leaks out in certain relationships,\" according to court papers.", "hypothesis": "The fall had left him with herniated disks, loss of height, worn-down teeth, heart damage and frustration and anger.", "label": "E", "metadata": {"context1": "The case, in 1994, concerned a fall Mr. Batra said he had from a swivel chair in his office.", "context2": "He sued the Brooklyn company that sold him the chair.", "target_sentence": "He said the fall had left him with herniated disks, loss of height, worn-down teeth, heart damage and frustration and anger that \"leaks out in certain relationships,\" according to court papers.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'said', 'embedded_clause': 'the fall had left him with herniated disks , loss of height , worn - down teeth , heart damage and frustration and anger that \" leaks out in certain relationships , \" according to court papers'}", "trigger_type": "clause_embedding_predicates", "annotator": "AW", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [89.71, 96.14, 100.0, 100.0, 100.0]}}
+{"uid": "2291-neg", "premise": "All terribly Masterpiece Theatre. Ah well, a pretty picture but not very likely. She didn't know she was not to the manner born.", "hypothesis": "She was born to the manner.", "label": "C", "metadata": {"context1": "All terribly Masterpiece Theatre.", "context2": "Ah well, a pretty picture but not very likely.", "target_sentence": "She didn't know she was not to the manner born.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'knew', 'embedded_clause': 'She was not'}", "trigger_type": "clause_embedding_predicates", "annotator": "AW", "nli_labels": ["C", "C", "C", "N", "C"], "ratings": [0.0, 0.51, 0.0, 3.63, 0.0]}}
+{"uid": "2291", "premise": "All terribly Masterpiece Theatre. Ah well, a pretty picture but not very likely. She knew she was not to the manner born.", "hypothesis": "She was born to the manner.", "label": "C", "metadata": {"context1": "All terribly Masterpiece Theatre.", "context2": "Ah well, a pretty picture but not very likely.", "target_sentence": "She knew she was not to the manner born.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'knew', 'embedded_clause': 'She was not'}", "trigger_type": "clause_embedding_predicates", "annotator": "AW", "nli_labels": ["C", "C", "C", "C", "C"], "ratings": [0.0, 0.0, 0.0, 0.0, 0.19]}}
+{"uid": "2294-neg", "premise": "We hope and expect to have full Iraqi cooperation. We shall leave behind us a number of people who will be dealing with the practical things, setting up communications, transportation and preparation for the inspection. Already by the 27th of November, we don't think that the first inspectors will be on their way and on the job in Iraq.", "hypothesis": "The first inspectors will be on their way and on the job in Iraq.", "label": "N", "metadata": {"context1": "We hope and expect to have full Iraqi cooperation.", "context2": "We shall leave behind us a number of people who will be dealing with the practical things, setting up communications, transportation and preparation for the inspection.", "target_sentence": "Already by the 27th of November, we don't think that the first inspectors will be on their way and on the job in Iraq.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': 'that the first inspectors will be on their way and on the job in Iraq'}", "trigger_type": "clause_embedding_predicates", "annotator": "AW", "nli_labels": ["E", "N", "N", "N", "N"], "ratings": [99.49, 24.02, 36.39, 9.94, 90.59]}}
+{"uid": "2294", "premise": "We hope and expect to have full Iraqi cooperation. We shall leave behind us a number of people who will be dealing with the practical things, setting up communications, transportation and preparation for the inspection. Already by the 27th of November, we think that the first inspectors will be on their way and on the job in Iraq.", "hypothesis": "The first inspectors will be on their way and on the job in Iraq.", "label": "E", "metadata": {"context1": "We hope and expect to have full Iraqi cooperation.", "context2": "We shall leave behind us a number of people who will be dealing with the practical things, setting up communications, transportation and preparation for the inspection.", "target_sentence": "Already by the 27th of November, we think that the first inspectors will be on their way and on the job in Iraq.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': 'that the first inspectors will be on their way and on the job in Iraq'}", "trigger_type": "clause_embedding_predicates", "annotator": "AW", "nli_labels": ["N", "N", "E", "E", "E"], "ratings": [67.3, 80.48, 100.0, 97.14, 100.0]}}
+{"uid": "2296-neg", "premise": "OSGOOD So are there likely to be any surprises where th I think we're likely to see Hillary Clinton doing an Oprah Winfrey kind of walk-around, talk-around as--as Liddy Dole did.", "hypothesis": "We're likely to see Hillary Clinton doing an Oprah Winfrey kind of walk-around, talk-around as--as Liddy Dole did.", "label": "E", "metadata": {"context1": "OSGOOD", "context2": "So are there likely to be any surprises where th", "target_sentence": "I think we're likely to see Hillary Clinton doing an Oprah Winfrey kind of walk-around, talk-around as--as Liddy Dole did.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'factive': 'think', 'embedded_clause': \"we 're likely to see Hillary Clinton doing an Oprah Winfrey kind of walk - around , talk - around as -- as Liddy Dole did\"}", "trigger_type": "clause_embedding_predicates", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 98.77, 100.0, 100.0, 100.0]}}
+{"uid": "2296", "premise": "OSGOOD So are there likely to be any surprises where th I don't think we're likely to see Hillary Clinton doing an Oprah Winfrey kind of walk-around, talk-around as--as Liddy Dole did.", "hypothesis": "We're likely to see Hillary Clinton doing an Oprah Winfrey kind of walk-around, talk-around as--as Liddy Dole did.", "label": "N", "metadata": {"context1": "OSGOOD", "context2": "So are there likely to be any surprises where th", "target_sentence": "I don't think we're likely to see Hillary Clinton doing an Oprah Winfrey kind of walk-around, talk-around as--as Liddy Dole did.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'factive': 'think', 'embedded_clause': \"we 're likely to see Hillary Clinton doing an Oprah Winfrey kind of walk - around , talk - around as -- as Liddy Dole did\"}", "trigger_type": "clause_embedding_predicates", "annotator": "AW", "nli_labels": ["N", "N", "N", "N", "C"], "ratings": [7.75, 4.6, 2.7, 19.64, 0.0]}}
+{"uid": "2299-neg", "premise": "\" What's happening with tendons and soft tissues that we didn't see 10 or 15 years ago? Are we weaker, do we have a softer lifestyle? I don't tend to believe we are softer, \" she said.", "hypothesis": "We are softer than 10 or 15 years ago.", "label": "N", "metadata": {"context1": "\" What's happening with tendons and soft tissues that we didn't see 10 or 15 years ago?", "context2": "Are we weaker, do we have a softer lifestyle?", "target_sentence": "I don't tend to believe we are softer, \" she said.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'believe', 'embedded_clause': 'we are softer'}", "trigger_type": "clause_embedding_predicates", "annotator": "AW", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [83.1, 68.96, 10.29, 88.61, 48.05]}}
+{"uid": "2299", "premise": "\" What's happening with tendons and soft tissues that we didn't see 10 or 15 years ago? Are we weaker, do we have a softer lifestyle? I tend to believe we are softer, \" she said.", "hypothesis": "We are softer than 10 or 15 years ago.", "label": "E", "metadata": {"context1": "\" What's happening with tendons and soft tissues that we didn't see 10 or 15 years ago?", "context2": "Are we weaker, do we have a softer lifestyle?", "target_sentence": "I tend to believe we are softer, \" she said.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'believe', 'embedded_clause': 'we are softer'}", "trigger_type": "clause_embedding_predicates", "annotator": "AW", "nli_labels": ["E", "N", "E", "N", "E"], "ratings": [97.98, 75.09, 95.71, 84.93, 99.64]}}
+{"uid": "23-neg", "premise": "It went on and on until I knew I'd gotten the wish I'd made down by the river. Oblivion. Landry didn't collapse heavily atop me.", "hypothesis": "Landry was standing before.", "label": "N", "metadata": {"context1": "It went on and on until I knew I'd gotten the wish I'd made down by the river.", "context2": "Oblivion.", "target_sentence": "Landry didn't collapse heavily atop me.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'collapsed'}", "trigger_type": "change_of_state", "annotator": "ZZ", "nli_labels": ["N", "N", "N", "E", "N"], "ratings": [49.7, 50.45, 48.65, 100.0, 55.98]}}
+{"uid": "23", "premise": "It went on and on until I knew I'd gotten the wish I'd made down by the river. Oblivion. Landry collapsed heavily atop me.", "hypothesis": "Landry was standing before.", "label": "E", "metadata": {"context1": "It went on and on until I knew I'd gotten the wish I'd made down by the river.", "context2": "Oblivion.", "target_sentence": "Landry collapsed heavily atop me.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'collapsed'}", "trigger_type": "change_of_state", "annotator": "ZZ", "nli_labels": ["E", "E", "N", "N", "E"], "ratings": [100.0, 100.0, 47.9, 87.56, 100.0]}}
+{"uid": "230-neg", "premise": "Right? KELLY SMITH, CLEMSON UNIVERSITY DEPARTMENT OF PHILOSOPHY AND RELIGION: Well, I don't think the universe is such an incredibly huge place, that the chances that there isn't life anywhere out there are virtually zero.", "hypothesis": "the universe is such an incredibly huge place, that the chances that there isn't life anywhere out there are virtually zero.", "label": "N", "metadata": {"context1": "Right?", "context2": "KELLY SMITH, CLEMSON UNIVERSITY DEPARTMENT OF PHILOSOPHY AND RELIGION:", "target_sentence": "Well, I don't think the universe is such an incredibly huge place, that the chances that there isn't life anywhere out there are virtually zero.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': \"the universe is such an incredibly huge place , that the chances that there is n't life anywhere out there are virtually zero\"}", "trigger_type": "clause_embedding_predicates", "annotator": "ZZ", "nli_labels": ["N", "N", "E", "E", "N"], "ratings": [66.31, 4.73, 100.0, 100.0, 39.73]}}
+{"uid": "230", "premise": "Right? KELLY SMITH, CLEMSON UNIVERSITY DEPARTMENT OF PHILOSOPHY AND RELIGION: Well, I think the universe is such an incredibly huge place, that the chances that there isn't life anywhere out there are virtually zero.", "hypothesis": "the universe is such an incredibly huge place, that the chances that there isn't life anywhere out there are virtually zero.", "label": "E", "metadata": {"context1": "Right?", "context2": "KELLY SMITH, CLEMSON UNIVERSITY DEPARTMENT OF PHILOSOPHY AND RELIGION:", "target_sentence": "Well, I think the universe is such an incredibly huge place, that the chances that there isn't life anywhere out there are virtually zero.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': \"the universe is such an incredibly huge place , that the chances that there is n't life anywhere out there are virtually zero\"}", "trigger_type": "clause_embedding_predicates", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.16, 97.98, 92.25, 95.27, 99.12]}}
+{"uid": "2300-neg", "premise": "But the Jaguars also were heartened by the running of Fred Taylor, who picked up 74 yards and caught six passes for another 41. It seemed Taylor's career might be over In Jacksonville, but not If he keeps performing as he did in this one. \"I really don't believe we're going to be a real good offense,\" Del Rio says.", "hypothesis": "The Jaguars are going to be a good offense.", "label": "N", "metadata": {"context1": "But the Jaguars also were heartened by the running of Fred Taylor, who picked up 74 yards and caught six passes for another 41.", "context2": "It seemed Taylor's career might be over In Jacksonville, but not If he keeps performing as he did in this one.", "target_sentence": "\"I really don't believe we're going to be a real good offense,\" Del Rio says.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'believe', 'embedded_clause': \"we 're going to be a real good offense\"}", "trigger_type": "clause_embedding_predicates", "annotator": "AW", "nli_labels": ["N", "N", "N", "E", "C"], "ratings": [36.25, 5.53, 16.9, 96.49, 0.0]}}
+{"uid": "2300", "premise": "But the Jaguars also were heartened by the running of Fred Taylor, who picked up 74 yards and caught six passes for another 41. It seemed Taylor's career might be over In Jacksonville, but not If he keeps performing as he did in this one. \"I really believe we're going to be a real good offense,\" Del Rio says.", "hypothesis": "The Jaguars are going to be a good offense.", "label": "N", "metadata": {"context1": "But the Jaguars also were heartened by the running of Fred Taylor, who picked up 74 yards and caught six passes for another 41.", "context2": "It seemed Taylor's career might be over In Jacksonville, but not If he keeps performing as he did in this one.", "target_sentence": "\"I really believe we're going to be a real good offense,\" Del Rio says.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'believe', 'embedded_clause': \"we 're going to be a real good offense\"}", "trigger_type": "clause_embedding_predicates", "annotator": "AW", "nli_labels": ["N", "E", "N", "N", "E"], "ratings": [51.2, 100.0, 79.66, 87.07, 91.84]}}
+{"uid": "2301-neg", "premise": "After Edward died and it didn't seem like she was going to find somebody, some of us here wrote to her, you know, and what I said was:' You should come back. Come back to us and live with all your friends in Canterbury. ' She wrote me a short note and didn't say she couldn't.", "hypothesis": "She couldn't come back to Canterbury.", "label": "N", "metadata": {"context1": "After Edward died and it didn't seem like she was going to find somebody, some of us here wrote to her, you know, and what I said was:' You should come back.", "context2": "Come back to us and live with all your friends in Canterbury. '", "target_sentence": "She wrote me a short note and didn't say she couldn't.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'said', 'embedded_clause': \"she could n't\"}", "trigger_type": "clause_embedding_predicates", "annotator": "AW", "nli_labels": ["C", "N", "N", "C", "N"], "ratings": [0.0, 7.91, 49.7, 0.0, 49.7]}}
+{"uid": "2301", "premise": "After Edward died and it didn't seem like she was going to find somebody, some of us here wrote to her, you know, and what I said was:' You should come back. Come back to us and live with all your friends in Canterbury. ' She wrote me a short note and said she couldn't.", "hypothesis": "She couldn't come back to Canterbury.", "label": "E", "metadata": {"context1": "After Edward died and it didn't seem like she was going to find somebody, some of us here wrote to her, you know, and what I said was:' You should come back.", "context2": "Come back to us and live with all your friends in Canterbury. '", "target_sentence": "She wrote me a short note and said she couldn't.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'said', 'embedded_clause': \"she could n't\"}", "trigger_type": "clause_embedding_predicates", "annotator": "AW", "nli_labels": ["N", "E", "E", "E", "N"], "ratings": [80.13, 99.59, 99.02, 100.0, 25.43]}}
+{"uid": "2305-neg", "premise": "Speaker A: So there are a lot of bruised and personal feelings in the Senate about Chuck Hagel. That's why he'll have the most difficulty. But in the end, while he may have multiple votes against him, I believe they will filibuster him, and if they don't, they can't stop him.", "hypothesis": "They will filibuster him.", "label": "E", "metadata": {"context1": "So there are a lot of bruised and personal feelings in the Senate about Chuck Hagel.", "context2": "That's why he'll have the most difficulty.", "target_sentence": "But in the end, while he may have multiple votes against him, I believe they will filibuster him, and if they don't, they can't stop him.", "speaker_context1": "RON-ELVING", "speaker_context2": "RON-ELVING", "speaker_target": "RON-ELVING", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'factive': 'believe', 'embedded_clause': 'they will filibuster him'}", "trigger_type": "clause_embedding_predicates", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.43, 100.0, 97.7, 100.0, 99.28]}}
+{"uid": "2305", "premise": "Speaker A: So there are a lot of bruised and personal feelings in the Senate about Chuck Hagel. That's why he'll have the most difficulty. But in the end, while he may have multiple votes against him, I don't believe they will filibuster him, and if they don't, they can't stop him.", "hypothesis": "They will filibuster him.", "label": "N", "metadata": {"context1": "So there are a lot of bruised and personal feelings in the Senate about Chuck Hagel.", "context2": "That's why he'll have the most difficulty.", "target_sentence": "But in the end, while he may have multiple votes against him, I don't believe they will filibuster him, and if they don't, they can't stop him.", "speaker_context1": "RON-ELVING", "speaker_context2": "RON-ELVING", "speaker_target": "RON-ELVING", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'factive': 'believe', 'embedded_clause': 'they will filibuster him'}", "trigger_type": "clause_embedding_predicates", "annotator": "AW", "nli_labels": ["N", "N", "C", "N", "N"], "ratings": [22.9, 30.76, 0.03, 34.11, 10.56]}}
+{"uid": "2314-neg", "premise": "It starts when I enter a room at the Peninsula Hotel in Chicago to interview Nicolas Cage, Spike Jonze and Charlie Kaufman. There they are, positioned around the coffee table like my parole board. I haven't been warned they will not pose for photos and will not do TV interviews.", "hypothesis": "They will not pose for photos and will not do TV interviews.", "label": "E", "metadata": {"context1": "It starts when I enter a room at the Peninsula Hotel in Chicago to interview Nicolas Cage, Spike Jonze and Charlie Kaufman.", "context2": "There they are, positioned around the coffee table like my parole board.", "target_sentence": "I haven't been warned they will not pose for photos and will not do TV interviews.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'warned', 'embedded_clause': 'they will not pose for photos and will not do TV interviews'}", "trigger_type": "clause_embedding_predicates", "annotator": "AW", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [91.35, 99.54, 100.0, 100.0, 99.37]}}
+{"uid": "2314", "premise": "It starts when I enter a room at the Peninsula Hotel in Chicago to interview Nicolas Cage, Spike Jonze and Charlie Kaufman. There they are, positioned around the coffee table like my parole board. I have been warned they will not pose for photos and will not do TV interviews.", "hypothesis": "They will not pose for photos and will not do TV interviews.", "label": "E", "metadata": {"context1": "It starts when I enter a room at the Peninsula Hotel in Chicago to interview Nicolas Cage, Spike Jonze and Charlie Kaufman.", "context2": "There they are, positioned around the coffee table like my parole board.", "target_sentence": "I have been warned they will not pose for photos and will not do TV interviews.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'warned', 'embedded_clause': 'they will not pose for photos and will not do TV interviews'}", "trigger_type": "clause_embedding_predicates", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2316-neg", "premise": " In 1900 the College Entrance Examination Board was established to set specific standards of university acceptance. This was not to ensure that those who passed the examination and were accepted by the university were adequately prepared to do university work.", "hypothesis": "Those who passed the examination and were accepted by the university were adequately prepared to do university work.", "label": "N", "metadata": {"context1": "", "context2": "In 1900 the College Entrance Examination Board was established to set specific standards of university acceptance.", "target_sentence": "This was not to ensure that those who passed the examination and were accepted by the university were adequately prepared to do university work.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'ensure', 'embedded_clause': 'that those who passed the examination and were accepted by the university were adequately prepared to do university work'}", "trigger_type": "clause_embedding_predicates", "annotator": "AW", "nli_labels": ["E", "N", "N", "N", "N"], "ratings": [99.94, 21.06, 65.46, 51.95, 48.5]}}
+{"uid": "2316", "premise": " In 1900 the College Entrance Examination Board was established to set specific standards of university acceptance. This was to ensure that those who passed the examination and were accepted by the university were adequately prepared to do university work.", "hypothesis": "Those who passed the examination and were accepted by the university were adequately prepared to do university work.", "label": "E", "metadata": {"context1": "", "context2": "In 1900 the College Entrance Examination Board was established to set specific standards of university acceptance.", "target_sentence": "This was to ensure that those who passed the examination and were accepted by the university were adequately prepared to do university work.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'ensure', 'embedded_clause': 'that those who passed the examination and were accepted by the university were adequately prepared to do university work'}", "trigger_type": "clause_embedding_predicates", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [90.24, 97.25, 100.0, 100.0, 100.0]}}
+{"uid": "2317-neg", "premise": "\"I'm sure they are wondering what went wrong, just as we are wondering what went wrong,\" he said.  Lawyer Scott Robinson did not say he expects the jury to recommend death.", "hypothesis": "Scott Robinson expects the jury to recommend death.", "label": "N", "metadata": {"context1": "\"I'm sure they are wondering what went wrong, just as we are wondering what went wrong,\" he said.", "context2": "", "target_sentence": "Lawyer Scott Robinson did not say he expects the jury to recommend death.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'said', 'embedded_clause': 'he expects the jury to recommend death'}", "trigger_type": "clause_embedding_predicates", "annotator": "AW", "nli_labels": ["N", "C", "C", "N", "N"], "ratings": [9.76, 0.12, 0.0, 17.8, 50.0]}}
+{"uid": "2317", "premise": "\"I'm sure they are wondering what went wrong, just as we are wondering what went wrong,\" he said.  Lawyer Scott Robinson said he expects the jury to recommend death.", "hypothesis": "Scott Robinson expects the jury to recommend death.", "label": "E", "metadata": {"context1": "\"I'm sure they are wondering what went wrong, just as we are wondering what went wrong,\" he said.", "context2": "", "target_sentence": "Lawyer Scott Robinson said he expects the jury to recommend death.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'said', 'embedded_clause': 'he expects the jury to recommend death'}", "trigger_type": "clause_embedding_predicates", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 96.2, 99.37, 98.69]}}
+{"uid": "2319-neg", "premise": "The proper response, truly, is a shower of pies across the nighttime sky upon Silicon Valley. \"  A letter of support the BBB disseminated didn't manage to bring in references to the new San Francisco Giants stadium currently being built, Mumia Abu-Jamal, the \"mysterious\" death of a San Francisco poll worker, and the international labor movement.", "hypothesis": "It would take effort to bring in references to the new San Francisco Giants stadium currently being built.", "label": "E", "metadata": {"context1": "The proper response, truly, is a shower of pies across the nighttime sky upon Silicon Valley. \"", "context2": "", "target_sentence": "A letter of support the BBB disseminated didn't manage to bring in references to the new San Francisco Giants stadium currently being built, Mumia Abu-Jamal, the \"mysterious\" death of a San Francisco poll worker, and the international labor movement.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["N", "E", "N", "E", "E"], "ratings": [85.03, 93.69, 84.72, 90.5, 100.0]}}
+{"uid": "2319", "premise": "The proper response, truly, is a shower of pies across the nighttime sky upon Silicon Valley. \"  A letter of support the BBB disseminated managed to bring in references to the new San Francisco Giants stadium currently being built, Mumia Abu-Jamal, the \"mysterious\" death of a San Francisco poll worker, and the international labor movement.", "hypothesis": "It would take effort to bring in references to the new San Francisco Giants stadium currently being built.", "label": "N", "metadata": {"context1": "The proper response, truly, is a shower of pies across the nighttime sky upon Silicon Valley. \"", "context2": "", "target_sentence": "A letter of support the BBB disseminated managed to bring in references to the new San Francisco Giants stadium currently being built, Mumia Abu-Jamal, the \"mysterious\" death of a San Francisco poll worker, and the international labor movement.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["N", "N", "E", "N", "N"], "ratings": [84.72, 10.47, 86.37, 62.02, 77.1]}}
+{"uid": "2320-neg", "premise": " Some investigators (Pascoe 1983; Singh 1990; Zastowny, Roghmann, and Hengst 1983) have found a significant relationship between ethnicity and overall satisfaction. Others (Hall and Dornan 1990) haven't failed to demonstrate such a relationship.", "hypothesis": "Others have attempted to demonstrate such a relationship.", "label": "E", "metadata": {"context1": "", "context2": "Some investigators (Pascoe 1983; Singh 1990; Zastowny, Roghmann, and Hengst 1983) have found a significant relationship between ethnicity and overall satisfaction.", "target_sentence": "Others (Hall and Dornan 1990) haven't failed to demonstrate such a relationship.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["N", "E", "E", "N", "E"], "ratings": [60.85, 100.0, 99.19, 65.32, 100.0]}}
+{"uid": "2320", "premise": " Some investigators (Pascoe 1983; Singh 1990; Zastowny, Roghmann, and Hengst 1983) have found a significant relationship between ethnicity and overall satisfaction. Others (Hall and Dornan 1990) have failed to demonstrate such a relationship.", "hypothesis": "Others have attempted to demonstrate such a relationship.", "label": "E", "metadata": {"context1": "", "context2": "Some investigators (Pascoe 1983; Singh 1990; Zastowny, Roghmann, and Hengst 1983) have found a significant relationship between ethnicity and overall satisfaction.", "target_sentence": "Others (Hall and Dornan 1990) have failed to demonstrate such a relationship.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["E", "N", "N", "E", "E"], "ratings": [100.0, 85.24, 73.14, 100.0, 95.14]}}
+{"uid": "2323-neg", "premise": " Seconds later, the Mustang sputtered, whined, stopped. // She didn't manage to steer to the right, stop just off the road.", "hypothesis": "It would take effort to steer to the right in this situation.", "label": "E", "metadata": {"context1": "", "context2": "Seconds later, the Mustang sputtered, whined, stopped. //", "target_sentence": "She didn't manage to steer to the right, stop just off the road.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [98.92, 100.0, 71.28, 98.62, 94.47]}}
+{"uid": "2323", "premise": " Seconds later, the Mustang sputtered, whined, stopped. // She managed to steer to the right, stop just off the road.", "hypothesis": "It would take effort to steer to the right in this situation.", "label": "N", "metadata": {"context1": "", "context2": "Seconds later, the Mustang sputtered, whined, stopped. //", "target_sentence": "She managed to steer to the right, stop just off the road.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["N", "N", "E", "E", "N"], "ratings": [58.95, 57.62, 93.98, 100.0, 73.79]}}
+{"uid": "2328-neg", "premise": " He did not go out without a fight he did rage at the dying of the light; he didn't actually manage to stop drinking for a whole year, but that was many years after the letter-writing day.", "hypothesis": "It would take effort to stop drinking for a whole year.", "label": "N", "metadata": {"context1": "", "context2": "He did not go out without a fight", "target_sentence": "he did rage at the dying of the light; he didn't actually manage to stop drinking for a whole year, but that was many years after the letter-writing day.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["N", "E", "N", "E", "N"], "ratings": [87.66, 100.0, 80.95, 97.6, 64.32]}}
+{"uid": "2328", "premise": " He did not go out without a fight he did rage at the dying of the light; he actually managed to stop drinking for a whole year, but that was many years after the letter-writing day.", "hypothesis": "It would take effort to stop drinking for a whole year.", "label": "E", "metadata": {"context1": "", "context2": "He did not go out without a fight", "target_sentence": "he did rage at the dying of the light; he actually managed to stop drinking for a whole year, but that was many years after the letter-writing day.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 85.66, 95.46, 100.0, 100.0]}}
+{"uid": "2329-neg", "premise": "Willadean Lawes riffled the stack of cash gleefully as Ron Fewsmith looked on with hopeful adoration, an adoration tinged, however, with no small impatience. Her lustrous tawny hair-a mop big as a muskrat-swirled as Willadean tossed a handful of bills into the air with a shout. She failed to note her boyfriend's subliminal impatience; or, if noted, she could be bothered to cater to the emotion.", "hypothesis": "It would take her a small amount of effort to cater to her boyfriend's impatience.", "label": "N", "metadata": {"context1": "Willadean Lawes riffled the stack of cash gleefully as Ron Fewsmith looked on with hopeful adoration, an adoration tinged, however, with no small impatience.", "context2": "Her lustrous tawny hair-a mop big as a muskrat-swirled as Willadean tossed a handful of bills into the air with a shout.", "target_sentence": "She failed to note her boyfriend's subliminal impatience; or, if noted, she could be bothered to cater to the emotion.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'bothered', 'inference': 'the action requires small efforts'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [90.24, 47.6, 29.26, 32.01, 27.66]}}
+{"uid": "2329", "premise": "Willadean Lawes riffled the stack of cash gleefully as Ron Fewsmith looked on with hopeful adoration, an adoration tinged, however, with no small impatience. Her lustrous tawny hair-a mop big as a muskrat-swirled as Willadean tossed a handful of bills into the air with a shout. She failed to note her boyfriend's subliminal impatience; or, if noted, she could not be bothered to cater to the emotion.", "hypothesis": "It would take her a small amount of effort to cater to her boyfriend's impatience.", "label": "N", "metadata": {"context1": "Willadean Lawes riffled the stack of cash gleefully as Ron Fewsmith looked on with hopeful adoration, an adoration tinged, however, with no small impatience.", "context2": "Her lustrous tawny hair-a mop big as a muskrat-swirled as Willadean tossed a handful of bills into the air with a shout.", "target_sentence": "She failed to note her boyfriend's subliminal impatience; or, if noted, she could not be bothered to cater to the emotion.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'bothered', 'inference': 'the action requires small efforts'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["E", "N", "N", "E", "N"], "ratings": [96.54, 57.62, 62.45, 88.61, 74.57]}}
+{"uid": "2331-neg", "premise": "Solid tumors survive in an acidic environment created by increased tumor cell metabolism and poor vasculature. Increased acidity can reduce the function of several different types of immune cells, leading to improved tumor survival. In addition, tumors don't avoid detection by the immune system by expressing proteins that block immune cell function.", "hypothesis": "It is expected that tumors will be detected by the immune system.", "label": "N", "metadata": {"context1": "Solid tumors survive in an acidic environment created by increased tumor cell metabolism and poor vasculature.", "context2": "Increased acidity can reduce the function of several different types of immune cells, leading to improved tumor survival.", "target_sentence": "In addition, tumors don't avoid detection by the immune system by expressing proteins that block immune cell function.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'avoid', 'inference': 'the event was expected from the subject'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["N", "N", "E", "N", "E"], "ratings": [3.98, 9.24, 98.11, 79.3, 80.13]}}
+{"uid": "2331", "premise": "Solid tumors survive in an acidic environment created by increased tumor cell metabolism and poor vasculature. Increased acidity can reduce the function of several different types of immune cells, leading to improved tumor survival. In addition, tumors avoid detection by the immune system by expressing proteins that block immune cell function.", "hypothesis": "It is expected that tumors will be detected by the immune system.", "label": "C", "metadata": {"context1": "Solid tumors survive in an acidic environment created by increased tumor cell metabolism and poor vasculature.", "context2": "Increased acidity can reduce the function of several different types of immune cells, leading to improved tumor survival.", "target_sentence": "In addition, tumors avoid detection by the immune system by expressing proteins that block immune cell function.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'avoid', 'inference': 'the event was expected from the subject'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["N", "C", "C", "N", "C"], "ratings": [2.3, 1.31, 1.46, 5.12, 0.0]}}
+{"uid": "2332-neg", "premise": "He was in Egypt exploring the ramifications of Libya's surrendering two of its citizens to stand trial for the 1988 bombing of Pan Am flight 103 over Lockerbie, Scotland.  In formal talks in New York, a U.N. official had not already managed to narrow the gap between Libya's concerns and the British-American proposal for a trial in the Netherlands, but important differences remained.", "hypothesis": "It would take effort to narrow the gap between Libya's concerns and the British-American proposal for a trial in the Netherlands.", "label": "E", "metadata": {"context1": "He was in Egypt exploring the ramifications of Libya's surrendering two of its citizens to stand trial for the 1988 bombing of Pan Am flight 103 over Lockerbie, Scotland.", "context2": "", "target_sentence": "In formal talks in New York, a U.N. official had not already managed to narrow the gap between Libya's concerns and the British-American proposal for a trial in the Netherlands, but important differences remained.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["E", "E", "E", "N", "N"], "ratings": [95.77, 96.71, 98.24, 91.35, 77.97]}}
+{"uid": "2332", "premise": "He was in Egypt exploring the ramifications of Libya's surrendering two of its citizens to stand trial for the 1988 bombing of Pan Am flight 103 over Lockerbie, Scotland.  In formal talks in New York, a U.N. official had already managed to narrow the gap between Libya's concerns and the British-American proposal for a trial in the Netherlands, but important differences remained.", "hypothesis": "It would take effort to narrow the gap between Libya's concerns and the British-American proposal for a trial in the Netherlands.", "label": "N", "metadata": {"context1": "He was in Egypt exploring the ramifications of Libya's surrendering two of its citizens to stand trial for the 1988 bombing of Pan Am flight 103 over Lockerbie, Scotland.", "context2": "", "target_sentence": "In formal talks in New York, a U.N. official had already managed to narrow the gap between Libya's concerns and the British-American proposal for a trial in the Netherlands, but important differences remained.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["N", "N", "N", "N", "E"], "ratings": [92.95, 93.1, 80.72, 5.6, 93.25]}}
+{"uid": "2334-neg", "premise": "Establishing beachheads at the tip of the peninsula and partway up its Aegean coast proved costly for the Allies in lives lost. By mid-July the battle had devolved into another trench warfare stalemate, made worse by the heat and disease. An August landing slightly farther north by a force of ANZAC (Australian and New Zealand Army Corps) troops didn't fail to improve the situation.", "hypothesis": "An August landing slightly farther north by a force of ANZAC (Australian and New Zealand Army Corps) troops was intended to improve the situation.", "label": "E", "metadata": {"context1": "Establishing beachheads at the tip of the peninsula and partway up its Aegean coast proved costly for the Allies in lives lost.", "context2": "By mid-July the battle had devolved into another trench warfare stalemate, made worse by the heat and disease.", "target_sentence": "An August landing slightly farther north by a force of ANZAC (Australian and New Zealand Army Corps) troops didn't fail to improve the situation.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 100.0, 88.33, 100.0, 100.0]}}
+{"uid": "2334", "premise": "Establishing beachheads at the tip of the peninsula and partway up its Aegean coast proved costly for the Allies in lives lost. By mid-July the battle had devolved into another trench warfare stalemate, made worse by the heat and disease. An August landing slightly farther north by a force of ANZAC (Australian and New Zealand Army Corps) troops failed to improve the situation.", "hypothesis": "An August landing slightly farther north by a force of ANZAC (Australian and New Zealand Army Corps) troops was intended to improve the situation.", "label": "E", "metadata": {"context1": "Establishing beachheads at the tip of the peninsula and partway up its Aegean coast proved costly for the Allies in lives lost.", "context2": "By mid-July the battle had devolved into another trench warfare stalemate, made worse by the heat and disease.", "target_sentence": "An August landing slightly farther north by a force of ANZAC (Australian and New Zealand Army Corps) troops failed to improve the situation.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 80.48, 95.14, 99.34, 99.43]}}
+{"uid": "2335-neg", "premise": "She gave no thought to whether or not heading into Sioux country went against the new treaty. To the Chey- p175 enne, who were friendly with the Sioux, there could be nothing wrong with going into the Black Hills. Many of her People cared to stay in the country in the south when the hot summer months came upon them.", "hypothesis": "It would require interest to stay in the south in the hot summer.", "label": "N", "metadata": {"context1": "She gave no thought to whether or not heading into Sioux country went against the new treaty.", "context2": "To the Chey- p175 enne, who were friendly with the Sioux, there could be nothing wrong with going into the Black Hills.", "target_sentence": "Many of her People cared to stay in the country in the south when the hot summer months came upon them.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'cared to', 'inference': 'the action requires the subject to take an interest'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["N", "N", "E", "N", "N"], "ratings": [46.4, 14.03, 92.32, 91.76, 19.05]}}
+{"uid": "2335", "premise": "She gave no thought to whether or not heading into Sioux country went against the new treaty. To the Chey- p175 enne, who were friendly with the Sioux, there could be nothing wrong with going into the Black Hills. Not many of her People cared to stay in the country in the south when the hot summer months came upon them.", "hypothesis": "It would require interest to stay in the south in the hot summer.", "label": "E", "metadata": {"context1": "She gave no thought to whether or not heading into Sioux country went against the new treaty.", "context2": "To the Chey- p175 enne, who were friendly with the Sioux, there could be nothing wrong with going into the Black Hills.", "target_sentence": "Not many of her People cared to stay in the country in the south when the hot summer months came upon them.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'cared to', 'inference': 'the action requires the subject to take an interest'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [92.64, 100.0, 100.0, 95.59, 93.25]}}
+{"uid": "2336-neg", "premise": "They're all searching individually, so now I often free all four at once to hunt for several rewards. Believe me, when this competition begins, there's not a \"me too\" behind-trailer in the bunch. Sometimes I bother dragging trails.", "hypothesis": "It would require a small amount of effort to drag trails.", "label": "N", "metadata": {"context1": "They're all searching individually, so now I often free all four at once to hunt for several rewards.", "context2": "Believe me, when this competition begins, there's not a \"me too\" behind-trailer in the bunch.", "target_sentence": "Sometimes I bother dragging trails.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'bother', 'inference': 'the action requires small effforts'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [37.55, 51.5, 80.6, 78.82, 4.73]}}
+{"uid": "2336", "premise": "They're all searching individually, so now I often free all four at once to hunt for several rewards. Believe me, when this competition begins, there's not a \"me too\" behind-trailer in the bunch. Sometimes I don't bother dragging trails.", "hypothesis": "It would require a small amount of effort to drag trails.", "label": "N", "metadata": {"context1": "They're all searching individually, so now I often free all four at once to hunt for several rewards.", "context2": "Believe me, when this competition begins, there's not a \"me too\" behind-trailer in the bunch.", "target_sentence": "Sometimes I don't bother dragging trails.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'bother', 'inference': 'the action requires small effforts'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["N", "N", "N", "N", "E"], "ratings": [48.05, 50.15, 82.2, 27.39, 96.2]}}
+{"uid": "2338-neg", "premise": " ( If Gonzalez were right, this historical analysis would reveal a good example of ideological hegemony at work in the formation of the cultural consciousness of the Puerto Rican people. The national ruling classes may have not in fact managed to distort the historical truth of the negro contribution to Puerto Rican culture in favor of a different definition that exalts the espanolidad Spanish-nature of the Puerto Rican people. )", "hypothesis": "It would take effort to distort the historical truth of the negro contribution to Puerto Rican culture.", "label": "N", "metadata": {"context1": "", "context2": "( If Gonzalez were right, this historical analysis would reveal a good example of ideological hegemony at work in the formation of the cultural consciousness of the Puerto Rican people.", "target_sentence": "The national ruling classes may have not in fact managed to distort the historical truth of the negro contribution to Puerto Rican culture in favor of a different definition that exalts the espanolidad Spanish-nature of the Puerto Rican people. )", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["E", "N", "N", "N", "E"], "ratings": [100.0, 90.85, 37.69, 59.09, 100.0]}}
+{"uid": "2338", "premise": " ( If Gonzalez were right, this historical analysis would reveal a good example of ideological hegemony at work in the formation of the cultural consciousness of the Puerto Rican people. The national ruling classes may have in fact managed to distort the historical truth of the negro contribution to Puerto Rican culture in favor of a different definition that exalts the espanolidad Spanish-nature of the Puerto Rican people. )", "hypothesis": "It would take effort to distort the historical truth of the negro contribution to Puerto Rican culture.", "label": "E", "metadata": {"context1": "", "context2": "( If Gonzalez were right, this historical analysis would reveal a good example of ideological hegemony at work in the formation of the cultural consciousness of the Puerto Rican people.", "target_sentence": "The national ruling classes may have in fact managed to distort the historical truth of the negro contribution to Puerto Rican culture in favor of a different definition that exalts the espanolidad Spanish-nature of the Puerto Rican people. )", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["E", "N", "N", "E", "E"], "ratings": [97.55, 59.53, 22.52, 87.66, 96.08]}}
+{"uid": "2339-neg", "premise": "( n229 )  President Nixon did not fail to satisfy the punishment prong.", "hypothesis": "President Nixon attempted to satisfy the punishment prong.", "label": "E", "metadata": {"context1": "( n229 )", "context2": "", "target_sentence": "President Nixon did not fail to satisfy the punishment prong.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [91.76, 100.0, 100.0, 100.0, 99.91]}}
+{"uid": "2339", "premise": "( n229 )  President Nixon failed to satisfy the punishment prong.", "hypothesis": "President Nixon attempted to satisfy the punishment prong.", "label": "E", "metadata": {"context1": "( n229 )", "context2": "", "target_sentence": "President Nixon failed to satisfy the punishment prong.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["E", "E", "E", "C", "N"], "ratings": [100.0, 95.59, 88.04, 1.35, 77.97]}}
+{"uid": "234-neg", "premise": "  With respect to treating tags with disinfectants and antibiotics, Kroger and Dryfoos (1972) didn't report that lower mortality rates of fish injected with treated tags were offset by higher shedding rates of treated tags.", "hypothesis": "lower mortality rates of fish injected with treated tags were offset by higher shedding rates of treated tags.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "With respect to treating tags with disinfectants and antibiotics, Kroger and Dryfoos (1972) didn't report that lower mortality rates of fish injected with treated tags were offset by higher shedding rates of treated tags.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'reported', 'embedded_clause': 'that lower mortality rates of fish injected with treated tags were offset by higher shedding rates of treated tags'}", "trigger_type": "clause_embedding_predicates", "annotator": "ZZ", "nli_labels": ["E", "N", "E", "C", "E"], "ratings": [100.0, 52.25, 100.0, 0.0, 100.0]}}
+{"uid": "234", "premise": "  With respect to treating tags with disinfectants and antibiotics, Kroger and Dryfoos (1972) reported that lower mortality rates of fish injected with treated tags were offset by higher shedding rates of treated tags.", "hypothesis": "lower mortality rates of fish injected with treated tags were offset by higher shedding rates of treated tags.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "With respect to treating tags with disinfectants and antibiotics, Kroger and Dryfoos (1972) reported that lower mortality rates of fish injected with treated tags were offset by higher shedding rates of treated tags.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'reported', 'embedded_clause': 'that lower mortality rates of fish injected with treated tags were offset by higher shedding rates of treated tags'}", "trigger_type": "clause_embedding_predicates", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [97.5, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2340-neg", "premise": "GREGORY: Right. REP-FORD: If the president leads on this front, I don't happen to believe he will benefit politically.", "hypothesis": "It was unexpected that Ford would believe the president would benefit politically.", "label": "N", "metadata": {"context1": "GREGORY:", "context2": "Right.", "target_sentence": "REP-FORD: If the president leads on this front, I don't happen to believe he will benefit politically.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'happen to', 'inference': 'the action/state is unexpected'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["N", "N", "N", "N", "E"], "ratings": [14.14, 47.3, 66.45, 61.29, 89.89]}}
+{"uid": "2340", "premise": "GREGORY: Right. REP-FORD: If the president leads on this front, I happen to believe he will benefit politically.", "hypothesis": "It was unexpected that Ford would believe the president would benefit politically.", "label": "C", "metadata": {"context1": "GREGORY:", "context2": "Right.", "target_sentence": "REP-FORD: If the president leads on this front, I happen to believe he will benefit politically.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'happen to', 'inference': 'the action/state is unexpected'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["C", "C", "C", "N", "N"], "ratings": [0.6, 0.0, 0.94, 10.11, 34.11]}}
+{"uid": "2341-neg", "premise": "We'll let everything get taken care of in court. \" Hardin said federal prosecutors made Clemens a plea offer but he rejected it. Hardin did not decline to comment on details of the proposed plea deal which ordinarily involves admitting to a crime while avoiding the scenario of a multiple-count indictment as happened in the Clemens case.", "hypothesis": "Hardin was asked to comment on details of the proposed plea deal.", "label": "E", "metadata": {"context1": "We'll let everything get taken care of in court. \"", "context2": "Hardin said federal prosecutors made Clemens a plea offer but he rejected it.", "target_sentence": "Hardin did not decline to comment on details of the proposed plea deal which ordinarily involves admitting to a crime while avoiding the scenario of a multiple-count indictment as happened in the Clemens case.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 97.4, 100.0, 97.3]}}
+{"uid": "2341", "premise": "We'll let everything get taken care of in court. \" Hardin said federal prosecutors made Clemens a plea offer but he rejected it. Hardin declined to comment on details of the proposed plea deal which ordinarily involves admitting to a crime while avoiding the scenario of a multiple-count indictment as happened in the Clemens case.", "hypothesis": "Hardin was asked to comment on details of the proposed plea deal.", "label": "E", "metadata": {"context1": "We'll let everything get taken care of in court. \"", "context2": "Hardin said federal prosecutors made Clemens a plea offer but he rejected it.", "target_sentence": "Hardin declined to comment on details of the proposed plea deal which ordinarily involves admitting to a crime while avoiding the scenario of a multiple-count indictment as happened in the Clemens case.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [92.4, 100.0, 100.0, 98.29, 84.93]}}
+{"uid": "2343-neg", "premise": "  Martinson did not decline to be interviewed by USA TODAY.", "hypothesis": "Martinson was asked to be interviewed by USA TODAY.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "Martinson did not decline to be interviewed by USA TODAY.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [96.71, 98.69, 49.85, 100.0, 100.0]}}
+{"uid": "2343", "premise": "  Martinson declined to be interviewed by USA TODAY.", "hypothesis": "Martinson was asked to be interviewed by USA TODAY.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "Martinson declined to be interviewed by USA TODAY.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.16, 99.59, 100.0, 98.92, 100.0]}}
+{"uid": "2345-neg", "premise": " She waved the scrap in front of the inn fire and watched the cotton take on a shimmering glow that had everyone in the room gasping in delight. She could resist stroking the fabric, for though the texture was coarse and dull, the tingle of power flowed through it.", "hypothesis": "She is feeling pressure to stroke the fabric.", "label": "N", "metadata": {"context1": "", "context2": "She waved the scrap in front of the inn fire and watched the cotton take on a shimmering glow that had everyone in the room gasping in delight.", "target_sentence": "She could resist stroking the fabric, for though the texture was coarse and dull, the tingle of power flowed through it.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'resist', 'inference': 'the action is forced upon/expected for the subject'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["N", "N", "N", "N", "C"], "ratings": [48.65, 34.68, 72.74, 24.79, 0.25]}}
+{"uid": "2345", "premise": " She waved the scrap in front of the inn fire and watched the cotton take on a shimmering glow that had everyone in the room gasping in delight. She couldn't resist stroking the fabric, for though the texture was coarse and dull, the tingle of power flowed through it.", "hypothesis": "She is feeling pressure to stroke the fabric.", "label": "E", "metadata": {"context1": "", "context2": "She waved the scrap in front of the inn fire and watched the cotton take on a shimmering glow that had everyone in the room gasping in delight.", "target_sentence": "She couldn't resist stroking the fabric, for though the texture was coarse and dull, the tingle of power flowed through it.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'resist', 'inference': 'the action is forced upon/expected for the subject'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["N", "N", "E", "E", "E"], "ratings": [86.17, 64.9, 100.0, 99.81, 100.0]}}
+{"uid": "2346-neg", "premise": " The expressive subtests showed that all three learner types were weak in expressive language. However, the norm-referenced measure didn't fail to reveal differences among the three groups.", "hypothesis": "It would take effort to reveal differences among the three groups.", "label": "N", "metadata": {"context1": "", "context2": "The expressive subtests showed that all three learner types were weak in expressive language.", "target_sentence": "However, the norm-referenced measure didn't fail to reveal differences among the three groups.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["N", "E", "N", "N", "N"], "ratings": [44.16, 99.51, 29.81, 12.83, 95.33]}}
+{"uid": "2346", "premise": " The expressive subtests showed that all three learner types were weak in expressive language. However, the norm-referenced measure failed to reveal differences among the three groups.", "hypothesis": "It would take effort to reveal differences among the three groups.", "label": "N", "metadata": {"context1": "", "context2": "The expressive subtests showed that all three learner types were weak in expressive language.", "target_sentence": "However, the norm-referenced measure failed to reveal differences among the three groups.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["N", "N", "E", "E", "N"], "ratings": [23.02, 92.09, 99.06, 92.72, 78.09]}}
+{"uid": "2347-neg", "premise": "The bats looked up, eyes glowing. I didn't doubt mine were as well because everything was in hyperfocus. I didn't manage to pull my gun, and I was having to aim carefully so as not to hit the tank, and with Serena kicking in panic, it was hard.", "hypothesis": "It takes effort to pull my gun in this situation.", "label": "E", "metadata": {"context1": "The bats looked up, eyes glowing.", "context2": "I didn't doubt mine were as well because everything was in hyperfocus.", "target_sentence": "I didn't manage to pull my gun, and I was having to aim carefully so as not to hit the tank, and with Serena kicking in panic, it was hard.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["N", "E", "E", "N", "E"], "ratings": [81.86, 92.25, 89.44, 81.06, 84.93]}}
+{"uid": "2347", "premise": "The bats looked up, eyes glowing. I didn't doubt mine were as well because everything was in hyperfocus. I managed to pull my gun, and I was having to aim carefully so as not to hit the tank, and with Serena kicking in panic, it was hard.", "hypothesis": "It takes effort to pull my gun in this situation.", "label": "E", "metadata": {"context1": "The bats looked up, eyes glowing.", "context2": "I didn't doubt mine were as well because everything was in hyperfocus.", "target_sentence": "I managed to pull my gun, and I was having to aim carefully so as not to hit the tank, and with Serena kicking in panic, it was hard.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["N", "E", "E", "N", "E"], "ratings": [75.85, 100.0, 94.47, 81.41, 100.0]}}
+{"uid": "2348-neg", "premise": "\"We'll hang out in the garden and barbecue,\" she says. Early to bed (\" by 10:30 P.M., I'm definitely twitchy \") and up by 6:00 A.M. Samantha doesn't manage to pack it all in, much to the astonishment of her friends.", "hypothesis": "It would take effort to pack it all in.", "label": "N", "metadata": {"context1": "\"We'll hang out in the garden and barbecue,\" she says.", "context2": "Early to bed (\" by 10:30 P.M., I'm definitely twitchy \") and up by 6:00 A.M.", "target_sentence": "Samantha doesn't manage to pack it all in, much to the astonishment of her friends.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'manages to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["E", "N", "N", "N", "E"], "ratings": [98.07, 11.67, 84.51, 79.78, 100.0]}}
+{"uid": "2348", "premise": "\"We'll hang out in the garden and barbecue,\" she says. Early to bed (\" by 10:30 P.M., I'm definitely twitchy \") and up by 6:00 A.M. Samantha manages to pack it all in, much to the astonishment of her friends.", "hypothesis": "It would take effort to pack it all in.", "label": "E", "metadata": {"context1": "\"We'll hang out in the garden and barbecue,\" she says.", "context2": "Early to bed (\" by 10:30 P.M., I'm definitely twitchy \") and up by 6:00 A.M.", "target_sentence": "Samantha manages to pack it all in, much to the astonishment of her friends.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'manages to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["E", "E", "N", "E", "N"], "ratings": [99.83, 100.0, 91.68, 97.5, 92.72]}}
+{"uid": "2349-neg", "premise": "This led others to develop antitoxins for germ diseases such as tetanus and diphtheria.  Perhaps due to their tubular, limbless bodies with eyes that lack lids and therefore never close, snakes sometimes fail to elicit an immediate reaction from people, either fear, fascination, or a mixture of both.", "hypothesis": "Snakes attempt to elicit an immediate reaction from people.", "label": "E", "metadata": {"context1": "This led others to develop antitoxins for germ diseases such as tetanus and diphtheria.", "context2": "", "target_sentence": "Perhaps due to their tubular, limbless bodies with eyes that lack lids and therefore never close, snakes sometimes fail to elicit an immediate reaction from people, either fear, fascination, or a mixture of both.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'fail', 'inference': 'the subject attempts to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["N", "E", "N", "E", "E"], "ratings": [83.86, 99.75, 5.74, 100.0, 100.0]}}
+{"uid": "2350-neg", "premise": "Mr. HASPIEL: Well, this is handled in the book in a very specific way. You've had authors on before who know this story and would dare to tell it.", "hypothesis": "It takes courage to tell this story.", "label": "E", "metadata": {"context1": "Mr. HASPIEL:", "context2": "Well, this is handled in the book in a very specific way.", "target_sentence": "You've had authors on before who know this story and would dare to tell it.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'dare', 'inference': 'the action takes courage'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["E", "N", "E", "E", "N"], "ratings": [97.19, 76.61, 100.0, 100.0, 71.41]}}
+{"uid": "2350", "premise": "Mr. HASPIEL: Well, this is handled in the book in a very specific way. You've had authors on before who know this story and wouldn't dare to tell it.", "hypothesis": "It takes courage to tell this story.", "label": "E", "metadata": {"context1": "Mr. HASPIEL:", "context2": "Well, this is handled in the book in a very specific way.", "target_sentence": "You've had authors on before who know this story and wouldn't dare to tell it.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'dare', 'inference': 'the action takes courage'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 92.01, 98.95, 99.12]}}
+{"uid": "2351-neg", "premise": "As I've gotten older, I can't underestimate the power of the sitter. Twenty years later I look back, and it's a very strong portrait. It's interesting because it's not posed-he didn't just happen to look over. '", "hypothesis": "It was not expected for him to look over.", "label": "N", "metadata": {"context1": "As I've gotten older, I can't underestimate the power of the sitter.", "context2": "Twenty years later I look back, and it's a very strong portrait.", "target_sentence": "It's interesting because it's not posed-he didn't just happen to look over. '", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'happened to', 'inference': 'the action/state is unexpected'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["N", "N", "N", "N", "E"], "ratings": [66.31, 36.68, 22.52, 14.65, 98.54]}}
+{"uid": "2351", "premise": "As I've gotten older, I can't underestimate the power of the sitter. Twenty years later I look back, and it's a very strong portrait. It's interesting because it's not posed-he just happened to look over. '", "hypothesis": "It was not expected for him to look over.", "label": "N", "metadata": {"context1": "As I've gotten older, I can't underestimate the power of the sitter.", "context2": "Twenty years later I look back, and it's a very strong portrait.", "target_sentence": "It's interesting because it's not posed-he just happened to look over. '", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'happened to', 'inference': 'the action/state is unexpected'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["E", "N", "N", "N", "N"], "ratings": [100.0, 57.02, 80.83, 49.7, 57.47]}}
+{"uid": "2353-neg", "premise": "He's about to redial when WHAM! The barge is RAMMED, sending everyone tumbling. Grant doesn't manage to stay on top of the wheelhouse, and he loses grip on the phone, which falls on deck.", "hypothesis": "It would take effort to stay on top of the wheelhouse in this situation.", "label": "E", "metadata": {"context1": "He's about to redial when WHAM!", "context2": "The barge is RAMMED, sending everyone tumbling.", "target_sentence": "Grant doesn't manage to stay on top of the wheelhouse, and he loses grip on the phone, which falls on deck.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'manages to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 98.5, 98.37, 100.0, 100.0]}}
+{"uid": "2353", "premise": "He's about to redial when WHAM! The barge is RAMMED, sending everyone tumbling. Grant manages to stay on top of the wheelhouse, and he loses grip on the phone, which falls on deck.", "hypothesis": "It would take effort to stay on top of the wheelhouse in this situation.", "label": "E", "metadata": {"context1": "He's about to redial when WHAM!", "context2": "The barge is RAMMED, sending everyone tumbling.", "target_sentence": "Grant manages to stay on top of the wheelhouse, and he loses grip on the phone, which falls on deck.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'manages to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [96.14, 100.0, 98.73, 90.76, 98.81]}}
+{"uid": "2354-neg", "premise": "At Dulles Town Center through Monday  This mix of clowns, jugglers, trapeze artists and animal acts doesn't manage to dazzle the senses with new routines while providing the comforting familiarity of a simpler, long-ago time.", "hypothesis": "It would take effort to dazzle the senses with new routines while providing the comforting familiarity of a simpler, long-ago time.", "label": "E", "metadata": {"context1": "At Dulles Town Center through Monday", "context2": "", "target_sentence": "This mix of clowns, jugglers, trapeze artists and animal acts doesn't manage to dazzle the senses with new routines while providing the comforting familiarity of a simpler, long-ago time.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'manages to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["E", "N", "N", "E", "E"], "ratings": [99.51, 79.78, 95.33, 95.96, 100.0]}}
+{"uid": "2354", "premise": "At Dulles Town Center through Monday  This mix of clowns, jugglers, trapeze artists and animal acts manages to dazile the senses with new routines while providing the comforting familiarity of a simpler, long-ago time.", "hypothesis": "It would take effort to dazzle the senses with new routines while providing the comforting familiarity of a simpler, long-ago time.", "label": "E", "metadata": {"context1": "At Dulles Town Center through Monday", "context2": "", "target_sentence": "This mix of clowns, jugglers, trapeze artists and animal acts manages to dazile the senses with new routines while providing the comforting familiarity of a simpler, long-ago time.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'manages to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["E", "C", "E", "N", "E"], "ratings": [97.25, 2.21, 91.27, 80.01, 87.85]}}
+{"uid": "2355-neg", "premise": "A recent report by the Association of Certified Fraud Examiners estimated that in 2006 some 13 percent of the $300 billion given to U.S. charitable institutions, including churches, was lost through embezzlement-a colossal sum of $40 billion. If that 13 percent loss figure is applied to the Catholic Church, it would mean that of the $6.5 billion contributed by Catholics to their parishes in 2006, a staggering $845 million was lost to embezzlers. Catholic leaders did not decline to verify that figure.", "hypothesis": "Catholic leaders were asked to verify that figure.", "label": "E", "metadata": {"context1": "A recent report by the Association of Certified Fraud Examiners estimated that in 2006 some 13 percent of the $300 billion given to U.S. charitable institutions, including churches, was lost through embezzlement-a colossal sum of $40 billion.", "context2": "If that 13 percent loss figure is applied to the Catholic Church, it would mean that of the $6.5 billion contributed by Catholics to their parishes in 2006, a staggering $845 million was lost to embezzlers.", "target_sentence": "Catholic leaders did not decline to verify that figure.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 100.0, 97.19, 77.85, 100.0]}}
+{"uid": "2355", "premise": "A recent report by the Association of Certified Fraud Examiners estimated that in 2006 some 13 percent of the $300 billion given to U.S. charitable institutions, including churches, was lost through embezzlement-a colossal sum of $40 billion. If that 13 percent loss figure is applied to the Catholic Church, it would mean that of the $6.5 billion contributed by Catholics to their parishes in 2006, a staggering $845 million was lost to embezzlers. Catholic leaders declined to verify that figure.", "hypothesis": "Catholic leaders were asked to verify that figure.", "label": "E", "metadata": {"context1": "A recent report by the Association of Certified Fraud Examiners estimated that in 2006 some 13 percent of the $300 billion given to U.S. charitable institutions, including churches, was lost through embezzlement-a colossal sum of $40 billion.", "context2": "If that 13 percent loss figure is applied to the Catholic Church, it would mean that of the $6.5 billion contributed by Catholics to their parishes in 2006, a staggering $845 million was lost to embezzlers.", "target_sentence": "Catholic leaders declined to verify that figure.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["E", "E", "N", "E", "N"], "ratings": [99.12, 90.5, 91.6, 99.54, 12.34]}}
+{"uid": "2357-neg", "premise": "Penelope asked. \" They are few and fer between. Not many of them failed to adapt to the transition.", "hypothesis": "They tried to adapt to the transition.", "label": "E", "metadata": {"context1": "Penelope asked.", "context2": "\" They are few and fer between.", "target_sentence": "Not many of them failed to adapt to the transition.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [99.34, 95.01, 100.0, 100.0, 99.25]}}
+{"uid": "2357", "premise": "Penelope asked. \" They are few and fer between. Many of them failed to adapt to the transition.", "hypothesis": "They tried to adapt to the transition.", "label": "E", "metadata": {"context1": "Penelope asked.", "context2": "\" They are few and fer between.", "target_sentence": "Many of them failed to adapt to the transition.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 94.4, 85.03, 100.0, 95.14]}}
+{"uid": "2358-neg", "premise": " \"The work can be really hard, and sometimes you get something, and sometimes you don't,\" Scott says. Our result didn't happen to work out beautifully.", "hypothesis": "It is unexpected for a result to work out beautifully.", "label": "N", "metadata": {"context1": "", "context2": "\"The work can be really hard, and sometimes you get something, and sometimes you don't,\" Scott says.", "target_sentence": "Our result didn't happen to work out beautifully.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'happened to', 'inference': 'the action/state is unexpected'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [54.34, 45.95, 18.82, 85.55, 3.69]}}
+{"uid": "2358", "premise": " \"The work can be really hard, and sometimes you get something, and sometimes you don't,\" Scott says. Our result happened to work out beautifully.", "hypothesis": "It is unexpected for a result to work out beautifully.", "label": "N", "metadata": {"context1": "", "context2": "\"The work can be really hard, and sometimes you get something, and sometimes you don't,\" Scott says.", "target_sentence": "Our result happened to work out beautifully.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'happened to', 'inference': 'the action/state is unexpected'}", "trigger_type": "implicative_predicates", "annotator": "AW", "nli_labels": ["N", "E", "N", "E", "N"], "ratings": [78.82, 97.04, 23.65, 95.46, 52.1]}}
+{"uid": "2359-neg", "premise": "Greed exists everywhere, Weber says, but the rational and methodical pursuit of profit is the essence of capitalism, and distinctive to it. And apart from the causal connection between capitalism and modern technology, each phenomenon, considered separately, is driven by the application of rational method to limitless purposes, whether limitless profit or limitless technical achievement. Both purposes Weber discusses do not signify the presence of the inexhaustible, the insatiable, the unappeasable.", "hypothesis": "Weber discusses two purposes.", "label": "E", "metadata": {"context1": "Greed exists everywhere, Weber says, but the rational and methodical pursuit of profit is the essence of capitalism, and distinctive to it.", "context2": "And apart from the causal connection between capitalism and modern technology, each phenomenon, considered separately, is driven by the application of rational method to limitless purposes, whether limitless profit or limitless technical achievement.", "target_sentence": "Both purposes Weber discusses do not signify the presence of the inexhaustible, the insatiable, the unappeasable.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.12, 99.12, 99.79, 97.19, 100.0]}}
+{"uid": "236-neg", "premise": " Second, the different lines of research examining identity and emotional closeness in adolescent and emerging adult friendships are limited in their relationship focus. Research that has generally examined closeness exclusively within either same- or cross-sex friendships, didn't fail to differentiate the type of friendship being examined (e.g., treat different friendships as similar relationships), or did not differentiate between cross-sex friendships and other cross-sex romantic relationships when examining cross-sex relationships (Lempers &; Clark-Lempers, 1993).", "hypothesis": "Research that has generally examined closeness exclusively within either same- or cross-sex friendships attempted to differentiate the type of friendship being examined (e.g., treat different friendships as similar relationships )", "label": "N", "metadata": {"context1": "", "context2": "Second, the different lines of research examining identity and emotional closeness in adolescent and emerging adult friendships are limited in their relationship focus.", "target_sentence": "Research that has generally examined closeness exclusively within either same- or cross-sex friendships, didn't fail to differentiate the type of friendship being examined (e.g., treat different friendships as similar relationships), or did not differentiate between cross-sex friendships and other cross-sex romantic relationships when examining cross-sex relationships (Lempers &; Clark-Lempers, 1993).", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["N", "N", "N", "E", "E"], "ratings": [81.29, 19.52, 71.54, 100.0, 100.0]}}
+{"uid": "2361-neg", "premise": "To determine if a food-combining diet could confer any health or weight-loss benefits, researchers at University Hospital Geneva in Switzerland put two sets of obese patients on low-calorie diets for six weeks. The first group followed a food-combining plan (eating carbohydrates at one meal and fats and protein at another), while the second ate meals that contained all three nutrients. While both groups in the study didn't take in the same amount of calories, those on the balanced diet actually lost about 3 pounds more than the food-combining group-and lowered their blood pressure to boot.", "hypothesis": "There are two groups in the study.", "label": "E", "metadata": {"context1": "To determine if a food-combining diet could confer any health or weight-loss benefits, researchers at University Hospital Geneva in Switzerland put two sets of obese patients on low-calorie diets for six weeks.", "context2": "The first group followed a food-combining plan (eating carbohydrates at one meal and fats and protein at another), while the second ate meals that contained all three nutrients.", "target_sentence": "While both groups in the study didn't take in the same amount of calories, those on the balanced diet actually lost about 3 pounds more than the food-combining group-and lowered their blood pressure to boot.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 94.05, 100.0]}}
+{"uid": "2361", "premise": "To determine if a food-combining diet could confer any health or weight-loss benefits, researchers at University Hospital Geneva in Switzerland put two sets of obese patients on low-calorie diets for six weeks. The first group followed a food-combining plan (eating carbohydrates at one meal and fats and protein at another), while the second ate meals that contained all three nutrients. While both groups in the study took in the same amount of calories, those on the balanced diet actually lost about 3 pounds more than the food-combining group-and lowered their blood pressure to boot.", "hypothesis": "There are two groups in the study.", "label": "E", "metadata": {"context1": "To determine if a food-combining diet could confer any health or weight-loss benefits, researchers at University Hospital Geneva in Switzerland put two sets of obese patients on low-calorie diets for six weeks.", "context2": "The first group followed a food-combining plan (eating carbohydrates at one meal and fats and protein at another), while the second ate meals that contained all three nutrients.", "target_sentence": "While both groups in the study took in the same amount of calories, those on the balanced diet actually lost about 3 pounds more than the food-combining group-and lowered their blood pressure to boot.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.62, 100.0, 100.0, 99.83, 100.0]}}
+{"uid": "2365-neg", "premise": "Quasi-Pragmatism Deleuze and Santayana were both Europeans, and both were both attracted by, yet resistant to, the United States. Both philosophers mentioned above were not strongly influenced by American Pragmatists (especially William James for Santayana, and C. S. Peirce for Deleuze).", "hypothesis": "There were two philosophers mentioned above.", "label": "E", "metadata": {"context1": "Quasi-Pragmatism", "context2": "Deleuze and Santayana were both Europeans, and both were both attracted by, yet resistant to, the United States.", "target_sentence": "Both philosophers mentioned above were not strongly influenced by American Pragmatists (especially William James for Santayana, and C. S. Peirce for Deleuze).", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AW", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 91.02, 100.0, 99.69, 100.0]}}
+{"uid": "2365", "premise": "Quasi-Pragmatism Deleuze and Santayana were both Europeans, and both were both attracted by, yet resistant to, the United States. Both philosophers mentioned above were strongly influenced by American Pragmatists (especially William James for Santayana, and C. S. Peirce for Deleuze).", "hypothesis": "There were two philosophers mentioned above.", "label": "E", "metadata": {"context1": "Quasi-Pragmatism", "context2": "Deleuze and Santayana were both Europeans, and both were both attracted by, yet resistant to, the United States.", "target_sentence": "Both philosophers mentioned above were strongly influenced by American Pragmatists (especially William James for Santayana, and C. S. Peirce for Deleuze).", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 98.2, 100.0, 100.0, 100.0]}}
+{"uid": "2366-neg", "premise": "JAY STEPHENS: Well, if the case goes to trial. Obviously, there isn't still an opportunity between now and that point in time for both sides in the case to reach some disposition of that.", "hypothesis": "There are two sides in the case.", "label": "E", "metadata": {"context1": "JAY STEPHENS:", "context2": "Well, if the case goes to trial.", "target_sentence": "Obviously, there isn't still an opportunity between now and that point in time for both sides in the case to reach some disposition of that.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.51, 100.0, 98.11]}}
+{"uid": "2366", "premise": "JAY STEPHENS: Well, if the case goes to trial. Obviously, there's still an opportunity between now and that point in time for both sides in the case to reach some disposition of that.", "hypothesis": "There are two sides in the case.", "label": "E", "metadata": {"context1": "JAY STEPHENS:", "context2": "Well, if the case goes to trial.", "target_sentence": "Obviously, there's still an opportunity between now and that point in time for both sides in the case to reach some disposition of that.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AW", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [98.33, 98.5, 100.0, 94.68, 100.0]}}
+{"uid": "2367-neg", "premise": "Seventy percent of the population (N= 355) completed consent forms and were eligible to participate. All participants were in grades 9 through 12 and had participated in band, orchestra, or choir for 1 year or more. Music ensemble students from both schools included in the study were not able to participate in more than one ensemble simultaneously; however, less than 2% of the population was enrolled in more than one ensemble at the time of the study.", "hypothesis": "There were 2 schools included in the study.", "label": "E", "metadata": {"context1": "Seventy percent of the population (N= 355) completed consent forms and were eligible to participate.", "context2": "All participants were in grades 9 through 12 and had participated in band, orchestra, or choir for 1 year or more.", "target_sentence": "Music ensemble students from both schools included in the study were not able to participate in more than one ensemble simultaneously; however, less than 2% of the population was enrolled in more than one ensemble at the time of the study.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AW", "nli_labels": ["E", "E", "N", "E", "N"], "ratings": [100.0, 92.17, 50.0, 98.84, 53.0]}}
+{"uid": "2367", "premise": "Seventy percent of the population (N= 355) completed consent forms and were eligible to participate. All participants were in grades 9 through 12 and had participated in band, orchestra, or choir for 1 year or more. Music ensemble students from both schools included in the study were able to participate in more than one ensemble simultaneously; however, less than 2% of the population was enrolled in more than one ensemble at the time of the study.", "hypothesis": "There were 2 schools included in the study.", "label": "E", "metadata": {"context1": "Seventy percent of the population (N= 355) completed consent forms and were eligible to participate.", "context2": "All participants were in grades 9 through 12 and had participated in band, orchestra, or choir for 1 year or more.", "target_sentence": "Music ensemble students from both schools included in the study were able to participate in more than one ensemble simultaneously; however, less than 2% of the population was enrolled in more than one ensemble at the time of the study.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AW", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 100.0, 100.0, 75.09, 100.0]}}
+{"uid": "2368-neg", "premise": "We'll be right back. WINFREY Working Mother and Fortune magazines both published special issues devoted to the best places to work, and not one company made it on both lists published by the magazines.", "hypothesis": "There were two lists published by the magazines.", "label": "N", "metadata": {"context1": "We'll be right back.", "context2": "WINFREY", "target_sentence": "Working Mother and Fortune magazines both published special issues devoted to the best places to work, and not one company made it on both lists published by the magazines.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AW", "nli_labels": ["N", "N", "E", "N", "E"], "ratings": [77.48, 12.25, 99.06, 87.85, 99.46]}}
+{"uid": "2368", "premise": "We'll be right back. WINFREY Working Mother and Fortune magazines both published special issues devoted to the best places to work, and one company made it on both lists published by the magazines.", "hypothesis": "There were two lists published by the magazines.", "label": "E", "metadata": {"context1": "We'll be right back.", "context2": "WINFREY", "target_sentence": "Working Mother and Fortune magazines both published special issues devoted to the best places to work, and one company made it on both lists published by the magazines.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.9, 100.0, 98.65, 100.0, 100.0]}}
+{"uid": "2369-neg", "premise": "There was the rustling again of animal movement. He saw what appeared to be the wisp of a tail, large and black, as it surfaced the undergrowth nearby and then quickly disappeared. Randolph pried the nails off the roof until he could not easily lift the plywood with both hands of his.", "hypothesis": "Randolph has two hands.", "label": "E", "metadata": {"context1": "There was the rustling again of animal movement.", "context2": "He saw what appeared to be the wisp of a tail, large and black, as it surfaced the undergrowth nearby and then quickly disappeared.", "target_sentence": "Randolph pried the nails off the roof until he could not easily lift the plywood with both hands of his.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 99.88, 100.0]}}
+{"uid": "2369", "premise": "There was the rustling again of animal movement. He saw what appeared to be the wisp of a tail, large and black, as it surfaced the undergrowth nearby and then quickly disappeared. Randolph pried the nails off the roof until he could easily lift the plywood with both hands of his.", "hypothesis": "Randolph has two hands.", "label": "E", "metadata": {"context1": "There was the rustling again of animal movement.", "context2": "He saw what appeared to be the wisp of a tail, large and black, as it surfaced the undergrowth nearby and then quickly disappeared.", "target_sentence": "Randolph pried the nails off the roof until he could easily lift the plywood with both hands of his.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 99.85]}}
+{"uid": "237", "premise": " Strong arms grabbed her from behind. The horse archer had not dared to take on D'Roye, but he seized her to use as a living shield.", "hypothesis": "Taking on D'Roye takes courage from the horse archer.", "label": "N", "metadata": {"context1": "", "context2": "Strong arms grabbed her from behind.", "target_sentence": "The horse archer had not dared to take on D'Roye, but he seized her to use as a living shield.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'dared', 'inference': 'the action takes courage'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["N", "N", "E", "E", "N"], "ratings": [28.19, 48.65, 100.0, 99.16, 90.24]}}
+{"uid": "2373-neg", "premise": "We logged 900 miles and the vehicle delivered 18 mpg. Not bad at all. Throughout the test drive all three of us on the ride didn't note the quiet interior.", "hypothesis": "There were three of us on the ride.", "label": "E", "metadata": {"context1": "We logged 900 miles and the vehicle delivered 18 mpg.", "context2": "Not bad at all.", "target_sentence": "Throughout the test drive all three of us on the ride didn't note the quiet interior.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'all'}", "trigger_type": "numeric_determiners", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2373", "premise": "We logged 900 miles and the vehicle delivered 18 mpg. Not bad at all. Throughout the test drive all three of us on the ride noted the quiet interior.", "hypothesis": "There were three of us on the ride.", "label": "E", "metadata": {"context1": "We logged 900 miles and the vehicle delivered 18 mpg.", "context2": "Not bad at all.", "target_sentence": "Throughout the test drive all three of us on the ride noted the quiet interior.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'all'}", "trigger_type": "numeric_determiners", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2375-neg", "premise": "When using this material, it's a good idea to cut a narrow groove down the length of each piece to create an escape route for excess glue. You can use the corner of a sharp chisel to scratch the side of the dowel. You shouldn't bevel both ends of the dowel with a piece of sandpaper.", "hypothesis": "There are two ends of the dowel.", "label": "E", "metadata": {"context1": "When using this material, it's a good idea to cut a narrow groove down the length of each piece to create an escape route for excess glue.", "context2": "You can use the corner of a sharp chisel to scratch the side of the dowel.", "target_sentence": "You shouldn't bevel both ends of the dowel with a piece of sandpaper.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.97, 100.0, 100.0, 100.0, 99.57]}}
+{"uid": "2375", "premise": "When using this material, it's a good idea to cut a narrow groove down the length of each piece to create an escape route for excess glue. You can use the corner of a sharp chisel to scratch the side of the dowel. You should bevel both ends of the dowel with a piece of sandpaper.", "hypothesis": "There are two ends of the dowel.", "label": "E", "metadata": {"context1": "When using this material, it's a good idea to cut a narrow groove down the length of each piece to create an escape route for excess glue.", "context2": "You can use the corner of a sharp chisel to scratch the side of the dowel.", "target_sentence": "You should bevel both ends of the dowel with a piece of sandpaper.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.11, 100.0, 99.54, 100.0, 98.45]}}
+{"uid": "2378-neg", "premise": "We either get to a zero deficit and balance the budget at some point, or we probably never will. The confluence of events now are critically important, but beyond that, we have to adopt a strategy for growth of this country, growth of our economy, growth of our personal incomes. Both situations under consideration are not flat for Americans now.", "hypothesis": "There are two situations under consideration.", "label": "E", "metadata": {"context1": "We either get to a zero deficit and balance the budget at some point, or we probably never will.", "context2": "The confluence of events now are critically important, but beyond that, we have to adopt a strategy for growth of this country, growth of our economy, growth of our personal incomes.", "target_sentence": "Both situations under consideration are not flat for Americans now.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [100.0, 100.0, 100.0, 96.2, 96.37]}}
+{"uid": "2378", "premise": "We either get to a zero deficit and balance the budget at some point, or we probably never will. The confluence of events now are critically important, but beyond that, we have to adopt a strategy for growth of this country, growth of our economy, growth of our personal incomes. Both situations under consideration are flat for Americans now.", "hypothesis": "There are two situations under consideration.", "label": "E", "metadata": {"context1": "We either get to a zero deficit and balance the budget at some point, or we probably never will.", "context2": "The confluence of events now are critically important, but beyond that, we have to adopt a strategy for growth of this country, growth of our economy, growth of our personal incomes.", "target_sentence": "Both situations under consideration are flat for Americans now.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [97.45, 99.46, 99.62, 99.37, 90.15]}}
+{"uid": "238-neg", "premise": " Playing a defensively oriented formation with one forward, six midfielders and three defenders, the USA has shutouts in its last three pre-World Cup tuneup matches. It didn't also fail to score in two of those games.", "hypothesis": "The USA attempted to score in the games.", "label": "E", "metadata": {"context1": "", "context2": "Playing a defensively oriented formation with one forward, six midfielders and three defenders, the USA has shutouts in its last three pre-World Cup tuneup matches.", "target_sentence": "It didn't also fail to score in two of those games.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [71.54, 91.93, 100.0, 100.0, 100.0]}}
+{"uid": "238", "premise": " Playing a defensively oriented formation with one forward, six midfielders and three defenders, the USA has shutouts in its last three pre-World Cup tuneup matches. It also failed to score in two of those games.", "hypothesis": "The USA attempted to score in the games.", "label": "E", "metadata": {"context1": "", "context2": "Playing a defensively oriented formation with one forward, six midfielders and three defenders, the USA has shutouts in its last three pre-World Cup tuneup matches.", "target_sentence": "It also failed to score in two of those games.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.77, 99.59, 100.0, 99.93]}}
+{"uid": "2380-neg", "premise": "  In two-vehicle crashes, both vehicles' characteristics do not influence the outcome.", "hypothesis": "There are two vehicles in two-vehicle crashes.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "In two-vehicle crashes, both vehicles' characteristics do not influence the outcome.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 99.49, 100.0]}}
+{"uid": "2380", "premise": "  In two-vehicle crashes, both vehicles' characteristics influence the outcome.", "hypothesis": "There are two vehicles in two-vehicle crashes.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "In two-vehicle crashes, both vehicles' characteristics influence the outcome.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 99.9]}}
+{"uid": "2382-neg", "premise": " The debate concerning open versus selective admission to community college nursing programs depicts a significant ethical conflict. Both arguments in the debate are not well-grounded in justice theory, and both present convincing moral justifications.", "hypothesis": "There are two arguments in the debate.", "label": "E", "metadata": {"context1": "", "context2": "The debate concerning open versus selective admission to community college nursing programs depicts a significant ethical conflict.", "target_sentence": "Both arguments in the debate are not well-grounded in justice theory, and both present convincing moral justifications.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "AW", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [86.37, 97.25, 100.0, 100.0, 100.0]}}
+{"uid": "2382", "premise": " The debate concerning open versus selective admission to community college nursing programs depicts a significant ethical conflict. Both arguments in the debate are well-grounded in justice theory, and both present convincing moral justifications.", "hypothesis": "There are two arguments in the debate.", "label": "E", "metadata": {"context1": "", "context2": "The debate concerning open versus selective admission to community college nursing programs depicts a significant ethical conflict.", "target_sentence": "Both arguments in the debate are well-grounded in justice theory, and both present convincing moral justifications.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 98.54, 100.0, 100.0, 99.62]}}
+{"uid": "2383-neg", "premise": "  Though an evenly divided membership forces the AARP to remain party-neutral, its information network doesn't present both political parties in the committee with a formidable obstacle to rationally downsizing elderly benefits.", "hypothesis": "There are two political parties in the committee.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "Though an evenly divided membership forces the AARP to remain party-neutral, its information network doesn't present both political parties in the committee with a formidable obstacle to rationally downsizing elderly benefits.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.49, 97.6, 100.0, 100.0, 100.0]}}
+{"uid": "2383", "premise": "  Though an evenly divided membership forces the AARP to remain party-neutral, its information network presents both political parties in the committee with a formidable obstacle to rationally downsizing elderly benefits.", "hypothesis": "There are two political parties in the committee.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "Though an evenly divided membership forces the AARP to remain party-neutral, its information network presents both political parties in the committee with a formidable obstacle to rationally downsizing elderly benefits.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AW", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [98.07, 99.28, 64.61, 100.0, 100.0]}}
+{"uid": "2384-neg", "premise": " The movie is drenched with detail, historically fascinating and emotionally gripping. At its S.F. Film Festival screening, Weiss said his depiction of prejudice on both sides of the conflict had not prevented the wide distribution of the film.", "hypothesis": "There are two sides of the conflict.", "label": "E", "metadata": {"context1": "", "context2": "The movie is drenched with detail, historically fascinating and emotionally gripping.", "target_sentence": "At its S.F. Film Festival screening, Weiss said his depiction of prejudice on both sides of the conflict had not prevented the wide distribution of the film.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AW", "nli_labels": ["E", "E", "E", "C", "E"], "ratings": [100.0, 99.85, 100.0, 0.0, 100.0]}}
+{"uid": "2384", "premise": " The movie is drenched with detail, historically fascinating and emotionally gripping. At its S.F. Film Festival screening, Weiss said his depiction of prejudice on both sides of the conflict had prevented the wide distribution of the film.", "hypothesis": "There are two sides of the conflict.", "label": "E", "metadata": {"context1": "", "context2": "The movie is drenched with detail, historically fascinating and emotionally gripping.", "target_sentence": "At its S.F. Film Festival screening, Weiss said his depiction of prejudice on both sides of the conflict had prevented the wide distribution of the film.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.54, 97.04, 100.0, 100.0, 97.88]}}
+{"uid": "2388-neg", "premise": " After a favorable turn of fortune, both heroes sense the approach of death, associated with restored vision both at the start and at the end of the action. Both protagonists in the novel do not defy a political force and receive aid from a higher authority.", "hypothesis": "There are two protagonists in the novel.", "label": "E", "metadata": {"context1": "", "context2": "After a favorable turn of fortune, both heroes sense the approach of death, associated with restored vision both at the start and at the end of the action.", "target_sentence": "Both protagonists in the novel do not defy a political force and receive aid from a higher authority.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.37, 100.0, 100.0, 99.34, 100.0]}}
+{"uid": "2388", "premise": " After a favorable turn of fortune, both heroes sense the approach of death, associated with restored vision both at the start and at the end of the action. Both protagonists in the novel defy a political force and receive aid from a higher authority.", "hypothesis": "There are two protagonists in the novel.", "label": "E", "metadata": {"context1": "", "context2": "After a favorable turn of fortune, both heroes sense the approach of death, associated with restored vision both at the start and at the end of the action.", "target_sentence": "Both protagonists in the novel defy a political force and receive aid from a higher authority.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "239-neg", "premise": "  In the far west, where rice has long been a staple food crop, farmers didn't resist adopting cropping techniques promoted by extension workers.", "hypothesis": "The farmer experienced pressure to adopt cropping techniques promoted by extension workers.", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "In the far west, where rice has long been a staple food crop, farmers didn't resist adopting cropping techniques promoted by extension workers.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'resisted', 'inference': 'the action is forced upon/expected for the subject'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["N", "N", "N", "C", "E"], "ratings": [30.63, 25.04, 3.51, 1.93, 95.84]}}
+{"uid": "239", "premise": "  In the far west, where rice has long been a staple food crop, farmers resisted adopting cropping techniques promoted by extension workers.", "hypothesis": "The farmer experienced pressure to adopt cropping techniques promoted by extension workers.", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "In the far west, where rice has long been a staple food crop, farmers resisted adopting cropping techniques promoted by extension workers.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'resisted', 'inference': 'the action is forced upon/expected for the subject'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["N", "E", "E", "N", "N"], "ratings": [92.17, 100.0, 99.37, 95.71, 80.25]}}
+{"uid": "2392-neg", "premise": "At NIST, another matter wave is diffracted by the grating, whereas at MIT, light is diffracted by the grating. The superradiance reported by MIT is initiated spontaneously and depends only on light interacting with atoms, whereas the four-wave mixing reported by NIST is purely a stimulated process and depends on interactions between atoms. Both effects reported in the studies do not depend on the mixing of four waves--four matter waves at NIST, and two matter waves and two electromagnetic waves at MIT.", "hypothesis": "There were two effects reported in the studies.", "label": "E", "metadata": {"context1": "At NIST, another matter wave is diffracted by the grating, whereas at MIT, light is diffracted by the grating.", "context2": "The superradiance reported by MIT is initiated spontaneously and depends only on light interacting with atoms, whereas the four-wave mixing reported by NIST is purely a stimulated process and depends on interactions between atoms.", "target_sentence": "Both effects reported in the studies do not depend on the mixing of four waves--four matter waves at NIST, and two matter waves and two electromagnetic waves at MIT.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "AW", "nli_labels": ["N", "E", "E", "N", "E"], "ratings": [92.25, 100.0, 97.04, 75.47, 99.95]}}
+{"uid": "2392", "premise": "At NIST, another matter wave is diffracted by the grating, whereas at MIT, light is diffracted by the grating. The superradiance reported by MIT is initiated spontaneously and depends only on light interacting with atoms, whereas the four-wave mixing reported by NIST is purely a stimulated process and depends on interactions between atoms. Both effects reported in the studies depend on the mixing of four waves--four matter waves at NIST, and two matter waves and two electromagnetic waves at MIT.", "hypothesis": "There were two effects reported in the studies.", "label": "E", "metadata": {"context1": "At NIST, another matter wave is diffracted by the grating, whereas at MIT, light is diffracted by the grating.", "context2": "The superradiance reported by MIT is initiated spontaneously and depends only on light interacting with atoms, whereas the four-wave mixing reported by NIST is purely a stimulated process and depends on interactions between atoms.", "target_sentence": "Both effects reported in the studies depend on the mixing of four waves--four matter waves at NIST, and two matter waves and two electromagnetic waves at MIT.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.69, 100.0, 95.21, 100.0, 100.0]}}
+{"uid": "2394-neg", "premise": "After Ally: Two Stars Flesh Out WHILE FILMING Ally McBeal, stars Calista Flockhart and Portia de Rossi drew gasps (and got grief) for their shockingly thin frames. Now, five months after the show's demise, both women who starred in the show are not looking fuller, fitter and sexier.", "hypothesis": "There are two women who starred in the show.", "label": "E", "metadata": {"context1": "After Ally: Two Stars Flesh Out", "context2": "WHILE FILMING Ally McBeal, stars Calista Flockhart and Portia de Rossi drew gasps (and got grief) for their shockingly thin frames.", "target_sentence": "Now, five months after the show's demise, both women who starred in the show are not looking fuller, fitter and sexier.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.41, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2394", "premise": "After Ally: Two Stars Flesh Out WHILE FILMING Ally McBeal, stars Calista Flockhart and Portia de Rossi drew gasps (and got grief) for their shockingly thin frames. Now, five months after the show's demise, both women who starred in the show are looking fuller, fitter and sexier.", "hypothesis": "There are two women who starred in the show.", "label": "E", "metadata": {"context1": "After Ally: Two Stars Flesh Out", "context2": "WHILE FILMING Ally McBeal, stars Calista Flockhart and Portia de Rossi drew gasps (and got grief) for their shockingly thin frames.", "target_sentence": "Now, five months after the show's demise, both women who starred in the show are looking fuller, fitter and sexier.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 89.35, 99.79, 99.12]}}
+{"uid": "2396-neg", "premise": "the bigger the audit firms, the more independent their auditors. Another twelve auditors agreed with the proposition. Both groups involved in the audit were absolute in their opinions but presented a number of provisos.", "hypothesis": "There were two groups involved in the audit.", "label": "E", "metadata": {"context1": "the bigger the audit firms, the more independent their auditors.", "context2": "Another twelve auditors agreed with the proposition.", "target_sentence": "Both groups involved in the audit were absolute in their opinions but presented a number of provisos.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.33, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2396", "premise": "the bigger the audit firms, the more independent their auditors. Another twelve auditors agreed with the proposition. Both groups involved in the audit were not absolute in their opinions but presented a number of provisos.", "hypothesis": "There were two groups involved in the audit.", "label": "E", "metadata": {"context1": "the bigger the audit firms, the more independent their auditors.", "context2": "Another twelve auditors agreed with the proposition.", "target_sentence": "Both groups involved in the audit were not absolute in their opinions but presented a number of provisos.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.57, 100.0, 98.73]}}
+{"uid": "2398-neg", "premise": "The lining, luxurious, caught light, now red, now pink. Thank God it was unstained. Both hands of his didn't cover his face--no words could explain what happened, as it had happened.", "hypothesis": "He has two hands.", "label": "E", "metadata": {"context1": "The lining, luxurious, caught light, now red, now pink.", "context2": "Thank God it was unstained.", "target_sentence": "Both hands of his didn't cover his face--no words could explain what happened, as it had happened.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.94, 100.0, 94.47, 100.0, 100.0]}}
+{"uid": "2398", "premise": "The lining, luxurious, caught light, now red, now pink. Thank God it was unstained. Both hands of his covered his face--no words could explain what happened, as it had happened.", "hypothesis": "He has two hands.", "label": "E", "metadata": {"context1": "The lining, luxurious, caught light, now red, now pink.", "context2": "Thank God it was unstained.", "target_sentence": "Both hands of his covered his face--no words could explain what happened, as it had happened.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.06, 100.0, 99.49]}}
+{"uid": "2399-neg", "premise": "And in the coming months I am looking forward to reaching out and working with leaders of both parties to meet the challenges we an only solve together.  Mitt Romney didn't urge the leaders of both parties in the Senate \" to reach across the aisle and do the people's work.", "hypothesis": "There are two parties in the senate.", "label": "E", "metadata": {"context1": "And in the coming months I am looking forward to reaching out and working with leaders of both parties to meet the challenges we an only solve together.", "context2": "", "target_sentence": "Mitt Romney didn't urge the leaders of both parties in the Senate \" to reach across the aisle and do the people's work.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [97.88, 100.0, 100.0, 100.0, 98.92]}}
+{"uid": "2399", "premise": "And in the coming months I am looking forward to reaching out and working with leaders of both parties to meet the challenges we an only solve together.  Mitt Romney urged the leaders of both parties in the Senate \" to reach across the aisle and do the people's work.", "hypothesis": "There are two parties in the senate.", "label": "E", "metadata": {"context1": "And in the coming months I am looking forward to reaching out and working with leaders of both parties to meet the challenges we an only solve together.", "context2": "", "target_sentence": "Mitt Romney urged the leaders of both parties in the Senate \" to reach across the aisle and do the people's work.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 98.11, 100.0, 100.0, 100.0]}}
+{"uid": "240-neg", "premise": "Half of Paris's subway lines were operating yesterday, and analysts said the three-week-old strike by France's public-sector workers is ending in a costly draw. The strikers (above) pushed the government to scrap a rail restructuring plan, with a promise not to touch generous public-sector pension schemes. They didn't fail to accomplish their main demand: Withdrawal of a radical plan to overhaul the welfare system.", "hypothesis": "The strikers attempted to accomplish their main demand, which is withdrawal of a radical plan to overhaul the welfare system.", "label": "E", "metadata": {"context1": "Half of Paris's subway lines were operating yesterday, and analysts said the three-week-old strike by France's public-sector workers is ending in a costly draw.", "context2": "The strikers (above) pushed the government to scrap a rail restructuring plan, with a promise not to touch generous public-sector pension schemes.", "target_sentence": "They didn't fail to accomplish their main demand: Withdrawal of a radical plan to overhaul the welfare system.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 96.43, 100.0]}}
+{"uid": "240", "premise": "Half of Paris's subway lines were operating yesterday, and analysts said the three-week-old strike by France's public-sector workers is ending in a costly draw. The strikers (above) pushed the government to scrap a rail restructuring plan, with a promise not to touch generous public-sector pension schemes. They failed to accomplish their main demand: Withdrawal of a radical plan to overhaul the welfare system.", "hypothesis": "The strikers attempted to accomplish their main demand, which is withdrawal of a radical plan to overhaul the welfare system.", "label": "E", "metadata": {"context1": "Half of Paris's subway lines were operating yesterday, and analysts said the three-week-old strike by France's public-sector workers is ending in a costly draw.", "context2": "The strikers (above) pushed the government to scrap a rail restructuring plan, with a promise not to touch generous public-sector pension schemes.", "target_sentence": "They failed to accomplish their main demand: Withdrawal of a radical plan to overhaul the welfare system.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 87.37, 91.1, 100.0, 100.0]}}
+{"uid": "2400-neg", "premise": "Bessner determined the woman was suffering from a drug overdose. \" Bessner administered several dosages of Narcan spray. The woman didn't fully regained consciousness shortly after receiving the last dose of Narcan.", "hypothesis": "The woman had previously been conscious.", "label": "E", "metadata": {"context1": "Bessner determined the woman was suffering from a drug overdose.", "context2": "\" Bessner administered several dosages of Narcan spray.", "target_sentence": "The woman didn't fully regained consciousness shortly after receiving the last dose of Narcan.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'regained'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [97.65, 99.22, 76.61, 100.0, 100.0]}}
+{"uid": "2400", "premise": "Bessner determined the woman was suffering from a drug overdose. \" Bessner administered several dosages of Narcan spray. The woman fully regained consciousness shortly after receiving the last dose of Narcan.", "hypothesis": "The woman had previously been conscious.", "label": "E", "metadata": {"context1": "Bessner determined the woman was suffering from a drug overdose.", "context2": "\" Bessner administered several dosages of Narcan spray.", "target_sentence": "The woman fully regained consciousness shortly after receiving the last dose of Narcan.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'regained'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 94.68, 100.0, 100.0, 100.0]}}
+{"uid": "2401-neg", "premise": " \"It's good to know that some things--and some people--stay the same.\" Bridget wasn't reconsidering her previous decision not to slap him.", "hypothesis": "Bridget had considered her decision not to slap him before.", "label": "E", "metadata": {"context1": "", "context2": "\"It's good to know that some things--and some people--stay the same.\"", "target_sentence": "Bridget wasn't reconsidering her previous decision not to slap him.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reconsidering'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["C", "E", "E", "E", "E"], "ratings": [1.67, 88.89, 100.0, 100.0, 92.32]}}
+{"uid": "2401", "premise": " \"It's good to know that some things--and some people--stay the same.\" Bridget was reconsidering her previous decision not to slap him.", "hypothesis": "Bridget had considered her decision not to slap him before.", "label": "E", "metadata": {"context1": "", "context2": "\"It's good to know that some things--and some people--stay the same.\"", "target_sentence": "Bridget was reconsidering her previous decision not to slap him.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reconsidering'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 76.86, 99.46, 100.0, 96.98]}}
+{"uid": "2403", "premise": "\" When I stood back and looked at the first version, I realized I'd just kind of powered through it. So I decided to rebuild one part, then another. By the end I'd rebuilt almost everything.", "hypothesis": "Everything would have been built before.", "label": "E", "metadata": {"context1": "\" When I stood back and looked at the first version, I realized I'd just kind of powered through it.", "context2": "So I decided to rebuild one part, then another.", "target_sentence": "By the end I'd rebuilt almost everything.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'rebuilt'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 98.81, 100.0, 92.4, 100.0]}}
+{"uid": "2406-neg", "premise": "Judson fitted a pair of boots with his new \"clasp locker\" and got the backing of a Pennsylvania lawyer with money to spend. In 1894 they set up the Universal Fastener Company and embarked upon decades of frustration. Judson would not redesign his fastener when it popped open unexpectedly or proved too costly to manufacture.", "hypothesis": "Judson's fastener had previously been designed.", "label": "E", "metadata": {"context1": "Judson fitted a pair of boots with his new \"clasp locker\" and got the backing of a Pennsylvania lawyer with money to spend.", "context2": "In 1894 they set up the Universal Fastener Company and embarked upon decades of frustration.", "target_sentence": "Judson would not redesign his fastener when it popped open unexpectedly or proved too costly to manufacture.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'redesign'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 98.77, 100.0, 100.0]}}
+{"uid": "2406", "premise": "Judson fitted a pair of boots with his new \"clasp locker\" and got the backing of a Pennsylvania lawyer with money to spend. In 1894 they set up the Universal Fastener Company and embarked upon decades of frustration. Judson would redesign his fastener when it popped open unexpectedly or proved too costly to manufacture.", "hypothesis": "Judson's fastener had previously been designed.", "label": "E", "metadata": {"context1": "Judson fitted a pair of boots with his new \"clasp locker\" and got the backing of a Pennsylvania lawyer with money to spend.", "context2": "In 1894 they set up the Universal Fastener Company and embarked upon decades of frustration.", "target_sentence": "Judson would redesign his fastener when it popped open unexpectedly or proved too costly to manufacture.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'redesign'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [84.18, 99.54, 99.59, 100.0, 100.0]}}
+{"uid": "2407-neg", "premise": "Speaker A: The globe arena was evacuated just before the show. Unofficial reports say a gunman entered the arena after he claimed to be an off-duty police officer. U2 hasn't rescheduled the concert for Tuesday.", "hypothesis": "The concert has been scheduled before.", "label": "E", "metadata": {"context1": "The globe arena was evacuated just before the show.", "context2": "Unofficial reports say a gunman entered the arena after he claimed to be an off-duty police officer.", "target_sentence": "U2 hasn't rescheduled the concert for Tuesday.", "speaker_context1": "ANTHONY-MASON", "speaker_context2": "ANTHONY-MASON", "speaker_target": "ANTHONY-MASON", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'rescheduled'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["C", "E", "E", "E", "E"], "ratings": [0.03, 97.79, 96.08, 100.0, 100.0]}}
+{"uid": "2407", "premise": "Speaker A: The globe arena was evacuated just before the show. Unofficial reports say a gunman entered the arena after he claimed to be an off-duty police officer. U2's rescheduled the concert for Tuesday.", "hypothesis": "The concert has been scheduled before.", "label": "E", "metadata": {"context1": "The globe arena was evacuated just before the show.", "context2": "Unofficial reports say a gunman entered the arena after he claimed to be an off-duty police officer.", "target_sentence": "U2's rescheduled the concert for Tuesday.", "speaker_context1": "ANTHONY-MASON", "speaker_context2": "ANTHONY-MASON", "speaker_target": "ANTHONY-MASON", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'rescheduled'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2409-neg", "premise": "THE ASSOCIATED PRESS 1 of 2 If consumers respond by Dec. 31, their tax credits will not be recalculated and applied to their January bills.", "hypothesis": "Consumers' tax credits will have been calculated prior to December 31.", "label": "N", "metadata": {"context1": "THE ASSOCIATED PRESS", "context2": "1 of 2", "target_sentence": "If consumers respond by Dec. 31, their tax credits will not be recalculated and applied to their January bills.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'recalculated'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["N", "N", "N", "N", "E"], "ratings": [3.51, 48.8, 50.15, 33.69, 81.29]}}
+{"uid": "2409", "premise": "THE ASSOCIATED PRESS 1 of 2 If consumers respond by Dec. 31, their tax credits will be recalculated and applied to their January bills.", "hypothesis": "Consumers' tax credits will have been calculated prior to December 31.", "label": "E", "metadata": {"context1": "THE ASSOCIATED PRESS", "context2": "1 of 2", "target_sentence": "If consumers respond by Dec. 31, their tax credits will be recalculated and applied to their January bills.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'recalculated'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "N", "N"], "ratings": [99.69, 93.76, 99.34, 75.34, 25.3]}}
+{"uid": "2410", "premise": "The ceremony, new only for the Indians and not the colonists, pays tribute to the fact that novelty is interpreted, not intrinsic. Novelty is defined by the beholder, so that without an audience, it does not exist. While every kiss the Indians exchange draws them further from the novelty of that first one, their displays repeatedly recreate the potential for the kiss to be seen as novel by some future audience.", "hypothesis": "The potential for the Indians' kiss to be seen as novel by some future audience previously existed.", "label": "E", "metadata": {"context1": "The ceremony, new only for the Indians and not the colonists, pays tribute to the fact that novelty is interpreted, not intrinsic.", "context2": "Novelty is defined by the beholder, so that without an audience, it does not exist.", "target_sentence": "While every kiss the Indians exchange draws them further from the novelty of that first one, their displays repeatedly recreate the potential for the kiss to be seen as novel by some future audience.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'recreate'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["N", "E", "N", "E", "E"], "ratings": [87.17, 96.14, 91.02, 100.0, 97.88]}}
+{"uid": "2412-neg", "premise": " The town's mayor and thirteen others are charged in a sweeping indictment that says Mayor Ben Cooper conspired to take control of the town by buying and stealing votes in the town council election in 2004. Cooper was not reelected to the council, but was then named mayor.", "hypothesis": "Cooper was previously elected to the town council.", "label": "E", "metadata": {"context1": "", "context2": "The town's mayor and thirteen others are charged in a sweeping indictment that says Mayor Ben Cooper conspired to take control of the town by buying and stealing votes in the town council election in 2004.", "target_sentence": "Cooper was not reelected to the council, but was then named mayor.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reelected'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["E", "E", "C", "E", "E"], "ratings": [100.0, 100.0, 0.0, 100.0, 100.0]}}
+{"uid": "2412", "premise": " The town's mayor and thirteen others are charged in a sweeping indictment that says Mayor Ben Cooper conspired to take control of the town by buying and stealing votes in the town council election in 2004. Cooper was reelected to the council, but was then named mayor.", "hypothesis": "Cooper was previously elected to the town council.", "label": "E", "metadata": {"context1": "", "context2": "The town's mayor and thirteen others are charged in a sweeping indictment that says Mayor Ben Cooper conspired to take control of the town by buying and stealing votes in the town council election in 2004.", "target_sentence": "Cooper was reelected to the council, but was then named mayor.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reelected'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.62, 96.88, 100.0, 100.0, 100.0]}}
+{"uid": "2413-neg", "premise": "On the landside transit level near a main terminal entrance, vintage gray and red seating has been removed in favor of new couches and chairs, some with charging stations. Greenery has been added to make it more \" warm and welcoming. \" The area has not been repainted.", "hypothesis": "The area has been painted.", "label": "C", "metadata": {"context1": "On the landside transit level near a main terminal entrance, vintage gray and red seating has been removed in favor of new couches and chairs, some with charging stations.", "context2": "Greenery has been added to make it more \" warm and welcoming.", "target_sentence": "\" The area has not been repainted.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'repainted'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["C", "C", "C", "C", "N"], "ratings": [0.0, 0.0, 0.0, 0.0, 92.09]}}
+{"uid": "2413", "premise": "On the landside transit level near a main terminal entrance, vintage gray and red seating has been removed in favor of new couches and chairs, some with charging stations. Greenery has been added to make it more \" warm and welcoming. \" The area has been repainted.", "hypothesis": "The area has been painted.", "label": "E", "metadata": {"context1": "On the landside transit level near a main terminal entrance, vintage gray and red seating has been removed in favor of new couches and chairs, some with charging stations.", "context2": "Greenery has been added to make it more \" warm and welcoming.", "target_sentence": "\" The area has been repainted.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'repainted'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.51, 100.0, 100.0, 100.0]}}
+{"uid": "2414-neg", "premise": "July 16: City returns to twice-a-week watering, but with limited hours. July 19: In response to complaints, the city extends the watering hours for hose-end sprinklers. Tuesday: City doesn't reinstate once-a-week watering, but with different days from before and other changes.", "hypothesis": "City had previously instated once-a-week watering.", "label": "E", "metadata": {"context1": "July 16: City returns to twice-a-week watering, but with limited hours.", "context2": "July 19: In response to complaints, the city extends the watering hours for hose-end sprinklers.", "target_sentence": "Tuesday: City doesn't reinstate once-a-week watering, but with different days from before and other changes.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reinstates'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["N", "E", "E", "E", "N"], "ratings": [91.02, 100.0, 99.28, 99.09, 38.42]}}
+{"uid": "2414", "premise": "July 16: City returns to twice-a-week watering, but with limited hours. July 19: In response to complaints, the city extends the watering hours for hose-end sprinklers. Tuesday: City reinstates once-a-week watering, but with different days from before and other changes.", "hypothesis": "City had previously instated once-a-week watering.", "label": "E", "metadata": {"context1": "July 16: City returns to twice-a-week watering, but with limited hours.", "context2": "July 19: In response to complaints, the city extends the watering hours for hose-end sprinklers.", "target_sentence": "Tuesday: City reinstates once-a-week watering, but with different days from before and other changes.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reinstates'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.81, 100.0, 100.0]}}
+{"uid": "2416-neg", "premise": "Hey, Karyn. That s right. Crowe doesn't reunite with director Ron Howard for this one.", "hypothesis": "Crowe and Ron Howard had previously worked together.", "label": "E", "metadata": {"context1": "Hey, Karyn.", "context2": "That s right.", "target_sentence": "Crowe doesn't reunite with director Ron Howard for this one.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reunites'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2416", "premise": "Hey, Karyn. That s right. Crowe reunites with director Ron Howard for this one.", "hypothesis": "Crowe and Ron Howard had previously worked together.", "label": "E", "metadata": {"context1": "Hey, Karyn.", "context2": "That s right.", "target_sentence": "Crowe reunites with director Ron Howard for this one.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reunites'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 99.73]}}
+{"uid": "242-neg", "premise": "Thanks for the clarifications, Roger. I don't disagree with you at all; the public is where it's at in terms of the issue. I didn't happen to teach a course on Race and Ethnic Identity at the University of Iowa a couple of years ago.", "hypothesis": "Having taught a course on Race and Ethnic Identity at the University of Iowa a couple of years ago wasn't expected from me.", "label": "N", "metadata": {"context1": "Thanks for the clarifications, Roger.", "context2": "I don't disagree with you at all; the public is where it's at in terms of the issue.", "target_sentence": "I didn't happen to teach a course on Race and Ethnic Identity at the University of Iowa a couple of years ago.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'happened to', 'inference': 'the action/state is unexpected'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["E", "C", "N", "N", "N"], "ratings": [98.07, 0.0, 25.43, 64.47, 15.6]}}
+{"uid": "242", "premise": "Thanks for the clarifications, Roger. I don't disagree with you at all; the public is where it's at in terms of the issue. I happened to teach a course on Race and Ethnic Identity at the University of Iowa a couple of years ago.", "hypothesis": "Having taught a course on Race and Ethnic Identity at the University of Iowa a couple of years ago wasn't expected from me.", "label": "N", "metadata": {"context1": "Thanks for the clarifications, Roger.", "context2": "I don't disagree with you at all; the public is where it's at in terms of the issue.", "target_sentence": "I happened to teach a course on Race and Ethnic Identity at the University of Iowa a couple of years ago.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'happened to', 'inference': 'the action/state is unexpected'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["C", "N", "N", "C", "N"], "ratings": [1.16, 49.55, 39.59, 0.6, 63.18]}}
+{"uid": "2421-neg", "premise": "Without regional economic integration--sanctifed by institutional political consensus--that observes a more equitable distribution of wealth, no concrete democratic foundations can be erected.  Educational curricula don't need to be restructured to emphasize critical analysis, rigorous methodological criteria, tolerance of discordant views, and thirst for information.", "hypothesis": "Educational curricula have been structured around things other than critical anlysis, rigorous methodology, tolerance of discordant views, and thirst for information.", "label": "N", "metadata": {"context1": "Without regional economic integration--sanctifed by institutional political consensus--that observes a more equitable distribution of wealth, no concrete democratic foundations can be erected.", "context2": "", "target_sentence": "Educational curricula don't need to be restructured to emphasize critical analysis, rigorous methodological criteria, tolerance of discordant views, and thirst for information.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'restructured'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [93.25, 90.24, 75.21, 50.9, 51.05]}}
+{"uid": "2421", "premise": "Without regional economic integration--sanctifed by institutional political consensus--that observes a more equitable distribution of wealth, no concrete democratic foundations can be erected.  Educational curricula need to be restructured to emphasize critical analysis, rigorous methodological criteria, tolerance of discordant views, and thirst for information.", "hypothesis": "Educational curricula have been structured around things other than critical anlysis, rigorous methodology, tolerance of discordant views, and thirst for information.", "label": "N", "metadata": {"context1": "Without regional economic integration--sanctifed by institutional political consensus--that observes a more equitable distribution of wealth, no concrete democratic foundations can be erected.", "context2": "", "target_sentence": "Educational curricula need to be restructured to emphasize critical analysis, rigorous methodological criteria, tolerance of discordant views, and thirst for information.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'restructured'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["N", "N", "N", "N", "E"], "ratings": [5.46, 21.42, 76.1, 4.1, 80.13]}}
+{"uid": "2423-neg", "premise": " The idea of wooing moderates has gained traction as violence in Afghanistan has reached record levels this year. The United States and NATO aren't reassessing their strategy amid a growing chorus of Western officials who say that the international effort here is failing.", "hypothesis": "The United States and NATO had previously assessed this strategy.", "label": "E", "metadata": {"context1": "", "context2": "The idea of wooing moderates has gained traction as violence in Afghanistan has reached record levels this year.", "target_sentence": "The United States and NATO aren't reassessing their strategy amid a growing chorus of Western officials who say that the international effort here is failing.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reassessing'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 88.8, 100.0, 100.0, 100.0]}}
+{"uid": "2423", "premise": " The idea of wooing moderates has gained traction as violence in Afghanistan has reached record levels this year. The United States and NATO are reassessing their strategy amid a growing chorus of Western officials who say that the international effort here is failing.", "hypothesis": "The United States and NATO had previously assessed this strategy.", "label": "E", "metadata": {"context1": "", "context2": "The idea of wooing moderates has gained traction as violence in Afghanistan has reached record levels this year.", "target_sentence": "The United States and NATO are reassessing their strategy amid a growing chorus of Western officials who say that the international effort here is failing.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reassessing'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["E", "E", "N", "N", "E"], "ratings": [100.0, 99.62, 97.25, 13.23, 100.0]}}
+{"uid": "2424-neg", "premise": " Due in large measure to the many calls for action, Congress authorized several governmental agencies to create additional STEM programs through the passage of the America Competes Act of 2007. The act was not reauthorized 3 years later through the America Competes Reauthorization Act of 2010 with additional requirements to increase the number of underrepresented minorities in STEM fields.", "hypothesis": "The act had been authorized.", "label": "E", "metadata": {"context1": "", "context2": "Due in large measure to the many calls for action, Congress authorized several governmental agencies to create additional STEM programs through the passage of the America Competes Act of 2007.", "target_sentence": "The act was not reauthorized 3 years later through the America Competes Reauthorization Act of 2010 with additional requirements to increase the number of underrepresented minorities in STEM fields.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reauthorized'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 85.66, 92.56, 100.0, 99.46]}}
+{"uid": "2424", "premise": " Due in large measure to the many calls for action, Congress authorized several governmental agencies to create additional STEM programs through the passage of the America Competes Act of 2007. The act was reauthorized 3 years later through the America Competes Reauthorization Act of 2010 with additional requirements to increase the number of underrepresented minorities in STEM fields.", "hypothesis": "The act had been authorized.", "label": "E", "metadata": {"context1": "", "context2": "Due in large measure to the many calls for action, Congress authorized several governmental agencies to create additional STEM programs through the passage of the America Competes Act of 2007.", "target_sentence": "The act was reauthorized 3 years later through the America Competes Reauthorization Act of 2010 with additional requirements to increase the number of underrepresented minorities in STEM fields.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reauthorized'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 98.41, 100.0, 100.0]}}
+{"uid": "2425-neg", "premise": "COOPER She was--she seemed kind of fat and happy, and no one knows where she's been. And we didn't reunite her with her family.", "hypothesis": "She and her family had previously been united.", "label": "E", "metadata": {"context1": "COOPER", "context2": "She was--she seemed kind of fat and happy, and no one knows where she's been.", "target_sentence": "And we didn't reunite her with her family.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reunited'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["E", "E", "C", "N", "E"], "ratings": [100.0, 100.0, 1.16, 93.4, 100.0]}}
+{"uid": "2425", "premise": "COOPER She was--she seemed kind of fat and happy, and no one knows where she's been. And we reunited her with her family.", "hypothesis": "She and her family had previously been united.", "label": "E", "metadata": {"context1": "COOPER", "context2": "She was--she seemed kind of fat and happy, and no one knows where she's been.", "target_sentence": "And we reunited her with her family.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reunited'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 94.94, 99.37, 99.57, 100.0]}}
+{"uid": "2426-neg", "premise": "The ornate balustrade is too inviting to ignore, and I perch on it and dash away the tears with the heel of my hand. Tomorrow I'll go home. I won't rebuild the rhythm and routine of my life as a single woman.", "hypothesis": "The rhythm and routine of my life had previously been stable before being a single woman.", "label": "N", "metadata": {"context1": "The ornate balustrade is too inviting to ignore, and I perch on it and dash away the tears with the heel of my hand.", "context2": "Tomorrow I'll go home.", "target_sentence": "I won't rebuild the rhythm and routine of my life as a single woman.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'rebuild'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["N", "N", "N", "E", "E"], "ratings": [51.95, 75.85, 50.6, 96.54, 97.88]}}
+{"uid": "2426", "premise": "The ornate balustrade is too inviting to ignore, and I perch on it and dash away the tears with the heel of my hand. Tomorrow I'll go home. I'll rebuild the rhythm and routine of my life as a single woman.", "hypothesis": "The rhythm and routine of my life had previously been stable before being a single woman.", "label": "N", "metadata": {"context1": "The ornate balustrade is too inviting to ignore, and I perch on it and dash away the tears with the heel of my hand.", "context2": "Tomorrow I'll go home.", "target_sentence": "I'll rebuild the rhythm and routine of my life as a single woman.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'rebuild'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["N", "N", "E", "N", "C"], "ratings": [27.92, 85.35, 98.99, 18.94, 0.0]}}
+{"uid": "2428-neg", "premise": "She also remembered its brutality. Nationalism had sprouted anew as Moscow's grip weakened. Old animosities did not reemerge.", "hypothesis": "Old animosities had previously been out in the open.", "label": "N", "metadata": {"context1": "She also remembered its brutality.", "context2": "Nationalism had sprouted anew as Moscow's grip weakened.", "target_sentence": "Old animosities did not reemerge.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reemerged'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["N", "N", "E", "N", "N"], "ratings": [70.6, 9.58, 100.0, 78.94, 55.84]}}
+{"uid": "2428", "premise": "She also remembered its brutality. Nationalism had sprouted anew as Moscow's grip weakened. Old animosities reemerged.", "hypothesis": "Old animosities had previously been out in the open.", "label": "E", "metadata": {"context1": "She also remembered its brutality.", "context2": "Nationalism had sprouted anew as Moscow's grip weakened.", "target_sentence": "Old animosities reemerged.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reemerged'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["E", "N", "E", "N", "E"], "ratings": [99.81, 11.39, 100.0, 50.75, 99.57]}}
+{"uid": "2429-neg", "premise": "In time the marriage ended, and the faux leather recliner and white walls became only a memory.  Whitman did not remarry last August.", "hypothesis": "Whitman had been married before last August.", "label": "E", "metadata": {"context1": "In time the marriage ended, and the faux leather recliner and white walls became only a memory.", "context2": "", "target_sentence": "Whitman did not remarry last August.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'remarried'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 99.46, 62.89, 97.93, 100.0]}}
+{"uid": "2429", "premise": "In time the marriage ended, and the faux leather recliner and white walls became only a memory.  Whitman remarried last August.", "hypothesis": "Whitman had been married before last August.", "label": "E", "metadata": {"context1": "In time the marriage ended, and the faux leather recliner and white walls became only a memory.", "context2": "", "target_sentence": "Whitman remarried last August.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'remarried'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 99.43, 99.37]}}
+{"uid": "243-neg", "premise": "WALLACE (Voiceover ) New medications didn't fail to help and so did periodic stays in a succession of psychiatric hospitals.", "hypothesis": "New medications had the potential to help", "label": "E", "metadata": {"context1": "WALLACE", "context2": "(Voiceover )", "target_sentence": "New medications didn't fail to help and so did periodic stays in a succession of psychiatric hospitals.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [80.83, 98.95, 89.62, 100.0, 95.46]}}
+{"uid": "243", "premise": "WALLACE (Voiceover ) New medications failed to help and so did periodic stays in a succession of psychiatric hospitals.", "hypothesis": "New medications had the potential to help", "label": "N", "metadata": {"context1": "WALLACE", "context2": "(Voiceover )", "target_sentence": "New medications failed to help and so did periodic stays in a succession of psychiatric hospitals.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [12.63, 60.71, 66.03, 7.6, 86.27]}}
+{"uid": "2430-neg", "premise": "\"The engineers could pass, if they were plugged into me at the time.\" \"They don't have that option,\" Reyes said. She didn't reseal the box, still holding the vial.", "hypothesis": "The box was previously sealed.", "label": "E", "metadata": {"context1": "\"The engineers could pass, if they were plugged into me at the time.\"", "context2": "\"They don't have that option,\" Reyes said.", "target_sentence": "She didn't reseal the box, still holding the vial.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'resealed'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2430", "premise": "\"The engineers could pass, if they were plugged into me at the time.\" \"They don't have that option,\" Reyes said. She resealed the box, still holding the vial.", "hypothesis": "The box was previously sealed.", "label": "E", "metadata": {"context1": "\"The engineers could pass, if they were plugged into me at the time.\"", "context2": "\"They don't have that option,\" Reyes said.", "target_sentence": "She resealed the box, still holding the vial.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'resealed'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.19, 100.0, 100.0, 100.0]}}
+{"uid": "2432-neg", "premise": "More than 90% of the waste materials arising from demolition are being reused or recycled: About 1.3 million metric tons of soil are being cleaned by on-site machines, and 50,000 metric tons have been cleaned up using natural microorganisms.  About 4,000 newts and toads have not been relocated to a wildlife habitat on the grounds.", "hypothesis": "About 4,000 newts and toads were previously located somewhere not on the grounds.", "label": "E", "metadata": {"context1": "More than 90% of the waste materials arising from demolition are being reused or recycled: About 1.3 million metric tons of soil are being cleaned by on-site machines, and 50,000 metric tons have been cleaned up using natural microorganisms.", "context2": "", "target_sentence": "About 4,000 newts and toads have not been relocated to a wildlife habitat on the grounds.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'relocated'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["E", "N", "E", "E", "C"], "ratings": [100.0, 2.96, 91.52, 99.06, 0.0]}}
+{"uid": "2434-neg", "premise": "JASON We get it from the person who sell it. RIVERA: And then you don't resell it", "hypothesis": "It has previously been sold", "label": "E", "metadata": {"context1": "JASON", "context2": "We get it from the person who sell it. RIVERA:", "target_sentence": "And then you don't resell it", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'resell'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["E", "E", "N", "N", "E"], "ratings": [96.93, 99.77, 51.05, 3.98, 100.0]}}
+{"uid": "2434", "premise": "JASON We get it from the person who sell it. RIVERA: And then you resell it", "hypothesis": "It has previously been sold", "label": "E", "metadata": {"context1": "JASON", "context2": "We get it from the person who sell it. RIVERA:", "target_sentence": "And then you resell it", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'resell'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["E", "E", "C", "N", "E"], "ratings": [100.0, 100.0, 0.57, 63.18, 96.2]}}
+{"uid": "2435-neg", "premise": " So much as I wanted to take my slipper and drive Mitch out of my apartment with it, I kind of thought maybe I should do something adult and sensible, like own up to my great, huge, flaming mistake and try to cope. The tire iron didn't reassert its presence in my skull.", "hypothesis": "The tire iron had previously asserted its presence in my skull.", "label": "E", "metadata": {"context1": "", "context2": "So much as I wanted to take my slipper and drive Mitch out of my apartment with it, I kind of thought maybe I should do something adult and sensible, like own up to my great, huge, flaming mistake and try to cope.", "target_sentence": "The tire iron didn't reassert its presence in my skull.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reasserted'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [70.06, 100.0, 100.0, 99.28, 100.0]}}
+{"uid": "2435", "premise": " So much as I wanted to take my slipper and drive Mitch out of my apartment with it, I kind of thought maybe I should do something adult and sensible, like own up to my great, huge, flaming mistake and try to cope. The tire iron reasserted its presence in my skull.", "hypothesis": "The tire iron had previously asserted its presence in my skull.", "label": "E", "metadata": {"context1": "", "context2": "So much as I wanted to take my slipper and drive Mitch out of my apartment with it, I kind of thought maybe I should do something adult and sensible, like own up to my great, huge, flaming mistake and try to cope.", "target_sentence": "The tire iron reasserted its presence in my skull.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reasserted'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [98.58, 34.11, 100.0, 99.51, 100.0]}}
+{"uid": "2437-neg", "premise": "Hot Books IMAGE MAKERS Photographer Michael Baumgarten and set designer Anna Burns present The Deformers: Attempted Deception, Pop: The Genius of Andy Warhol doesn't reconsider the icon's artistic legacy, and Harry Benson:", "hypothesis": "Andy Warhol's artistic legacy had previously been considered.", "label": "N", "metadata": {"context1": "Hot Books IMAGE MAKERS Photographer Michael Baumgarten and set designer Anna Burns present", "context2": "The Deformers: Attempted Deception, Pop:", "target_sentence": "The Genius of Andy Warhol doesn't reconsider the icon's artistic legacy, and Harry Benson:", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reconsiders'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["N", "E", "N", "N", "E"], "ratings": [86.57, 100.0, 30.9, 60.71, 97.04]}}
+{"uid": "2437", "premise": "Hot Books IMAGE MAKERS Photographer Michael Baumgarten and set designer Anna Burns present The Deformers: Attempted Deception, Pop: The Genius of Andy Warhol reconsiders the icon's artistic legacy, and Harry Benson:", "hypothesis": "Andy Warhol's artistic legacy had previously been considered.", "label": "E", "metadata": {"context1": "Hot Books IMAGE MAKERS Photographer Michael Baumgarten and set designer Anna Burns present", "context2": "The Deformers: Attempted Deception, Pop:", "target_sentence": "The Genius of Andy Warhol reconsiders the icon's artistic legacy, and Harry Benson:", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reconsiders'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [78.09, 100.0, 92.72, 100.0, 100.0]}}
+{"uid": "2438", "premise": "que se hallan las Reducciones de indios infieles que estn a cargo de los religiosos de N.P.S. Francisco (Guatemala, 1676). The texts are reprinted in Manuel Serrano", "hypothesis": "The texts were previously printed.", "label": "E", "metadata": {"context1": "que se hallan", "context2": "las Reducciones de indios infieles que estn a cargo de los religiosos de N.P.S. Francisco (Guatemala, 1676).", "target_sentence": "The texts are reprinted in Manuel Serrano", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reprinted'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2439-neg", "premise": " Betty plunged into what appeared to be the mouth of a cave. Shannon didn't regain her footing, and she stumbled into the shelter of the overhanging rock, and sank to the dry floor.", "hypothesis": "Shannon previously had her footing.", "label": "E", "metadata": {"context1": "", "context2": "Betty plunged into what appeared to be the mouth of a cave.", "target_sentence": "Shannon didn't regain her footing, and she stumbled into the shelter of the overhanging rock, and sank to the dry floor.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'regained'}", "trigger_type": "re_verbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 99.22, 100.0, 86.07, 99.75]}}
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+{"uid": "244-neg", "premise": "Maybe not. George Weyerhaeuser remains chairman and has personally selected nearly every member of the board. Weyerhaeuser and Creighton didn't decline to talk with FORBES for this story, citing among other things a negative story on the company that ran 13 years ago.", "hypothesis": "Weyerhaeuser and Creighton was asked to talk with FORBES for this story.", "label": "E", "metadata": {"context1": "Maybe not.", "context2": "George Weyerhaeuser remains chairman and has personally selected nearly every member of the board.", "target_sentence": "Weyerhaeuser and Creighton didn't decline to talk with FORBES for this story, citing among other things a negative story on the company that ran 13 years ago.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [95.27, 100.0, 93.98, 100.0, 100.0]}}
+{"uid": "244", "premise": "Maybe not. George Weyerhaeuser remains chairman and has personally selected nearly every member of the board. Weyerhaeuser and Creighton declined to talk with FORBES for this story, citing among other things a negative story on the company that ran 13 years ago.", "hypothesis": "Weyerhaeuser and Creighton was asked to talk with FORBES for this story.", "label": "E", "metadata": {"context1": "Maybe not.", "context2": "George Weyerhaeuser remains chairman and has personally selected nearly every member of the board.", "target_sentence": "Weyerhaeuser and Creighton declined to talk with FORBES for this story, citing among other things a negative story on the company that ran 13 years ago.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.16, 100.0, 96.2, 100.0, 100.0]}}
+{"uid": "2442-neg", "premise": " Sutton, 29, created a website for job seekers after he graduated with a master's degree in finance from the University of Denver Daniels College of Business in June. His sister, Kate, didn't start her own women's clothing firm at 24 after working in her father's auto-finance company.", "hypothesis": "Sutton's sister Kate worked in her father's auto-finance company.", "label": "E", "metadata": {"context1": "", "context2": "Sutton, 29, created a website for job seekers after he graduated with a master's degree in finance from the University of Denver Daniels College of Business in June.", "target_sentence": "His sister, Kate, didn't start her own women's clothing firm at 24 after working in her father's auto-finance company.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [75.6, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2442", "premise": " Sutton, 29, created a website for job seekers after he graduated with a master's degree in finance from the University of Denver Daniels College of Business in June. His sister, Kate, started her own women's clothing firm at 24 after working in her father's auto-finance company.", "hypothesis": "Sutton's sister Kate worked in her father's auto-finance company.", "label": "E", "metadata": {"context1": "", "context2": "Sutton, 29, created a website for job seekers after he graduated with a master's degree in finance from the University of Denver Daniels College of Business in June.", "target_sentence": "His sister, Kate, started her own women's clothing firm at 24 after working in her father's auto-finance company.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.75, 99.97, 100.0]}}
+{"uid": "2444-neg", "premise": "and they ran, crawled, climbed, jumped and waded through the Reebok Spartan Sprint in wave after wave on Saturday, April 9, 2016. and they ran, crawled, climbed, jumped and waded through the Reebok Spartan Sprint in wave after wave on Saturday, April 9, 2016. Runners didn't have to slide down a steep muddy bank before going under water at the Reebok Spartan Sprint.", "hypothesis": "Runners went under water at the Reebok Spartan Sprint.", "label": "E", "metadata": {"context1": "and they ran, crawled, climbed, jumped and waded through the Reebok Spartan Sprint in wave after wave on Saturday, April 9, 2016.", "context2": "and they ran, crawled, climbed, jumped and waded through the Reebok Spartan Sprint in wave after wave on Saturday, April 9, 2016.", "target_sentence": "Runners didn't have to slide down a steep muddy bank before going under water at the Reebok Spartan Sprint.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 4.6, 99.59, 100.0, 100.0]}}
+{"uid": "2444", "premise": "and they ran, crawled, climbed, jumped and waded through the Reebok Spartan Sprint in wave after wave on Saturday, April 9, 2016. and they ran, crawled, climbed, jumped and waded through the Reebok Spartan Sprint in wave after wave on Saturday, April 9, 2016. Runners had to slide down a steep muddy bank before going under water at the Reebok Spartan Sprint.", "hypothesis": "Runners went under water at the Reebok Spartan Sprint.", "label": "E", "metadata": {"context1": "and they ran, crawled, climbed, jumped and waded through the Reebok Spartan Sprint in wave after wave on Saturday, April 9, 2016.", "context2": "and they ran, crawled, climbed, jumped and waded through the Reebok Spartan Sprint in wave after wave on Saturday, April 9, 2016.", "target_sentence": "Runners had to slide down a steep muddy bank before going under water at the Reebok Spartan Sprint.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["E", "N", "N", "E", "E"], "ratings": [100.0, 73.14, 79.66, 100.0, 100.0]}}
+{"uid": "2446-neg", "premise": " Before leaving for Hebron on Jan. 4, Sydney Stigge-Kaufman had worked part-time for the Houston Symphony for several months on its fund-raising campaign. Stigge-Kaufman didn't join the group as a part-time volunteer after attending Christian Peacemaker Teams' training last January in Chicago", "hypothesis": "Sydney Stigge-Kaufman attended Christian Peacemaker Teams' training last January in Chicago.", "label": "E", "metadata": {"context1": "", "context2": "Before leaving for Hebron on Jan. 4, Sydney Stigge-Kaufman had worked part-time for the Houston Symphony for several months on its fund-raising campaign.", "target_sentence": "Stigge-Kaufman didn't join the group as a part-time volunteer after attending Christian Peacemaker Teams' training last January in Chicago", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 100.0, 7.05, 100.0, 100.0]}}
+{"uid": "2446", "premise": " Before leaving for Hebron on Jan. 4, Sydney Stigge-Kaufman had worked part-time for the Houston Symphony for several months on its fund-raising campaign. Stigge-Kaufman joined the group as a part-time volunteer after attending Christian Peacemaker Teams' training last January in Chicago", "hypothesis": "Sydney Stigge-Kaufman attended Christian Peacemaker Teams' training last January in Chicago.", "label": "E", "metadata": {"context1": "", "context2": "Before leaving for Hebron on Jan. 4, Sydney Stigge-Kaufman had worked part-time for the Houston Symphony for several months on its fund-raising campaign.", "target_sentence": "Stigge-Kaufman joined the group as a part-time volunteer after attending Christian Peacemaker Teams' training last January in Chicago", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [100.0, 100.0, 100.0, 100.0, 94.26]}}
+{"uid": "2449-neg", "premise": "PHOTO DINO GOMEZ Rivera's gown, hairpin and veil were all designed by Monique Lhuillier, while Dorsey's suit was by Dolce & amp; Gabbana. PHOTO DINO GOMEZ Rivera's gown, hairpin and veil were all designed by Monique Lhuillier, while Dorsey's suit was by Dolce & amp; Gabbana. Originally from Charleston, W.Va., Dorsey did not attend the New York Conservatory for Dramatic Arts before moving to L.A.", "hypothesis": "Dorsey moved to L.A.", "label": "E", "metadata": {"context1": "PHOTO DINO GOMEZ Rivera's gown, hairpin and veil were all designed by Monique Lhuillier, while Dorsey's suit was by Dolce & amp; Gabbana.", "context2": "PHOTO DINO GOMEZ Rivera's gown, hairpin and veil were all designed by Monique Lhuillier, while Dorsey's suit was by Dolce & amp; Gabbana.", "target_sentence": "Originally from Charleston, W.Va., Dorsey did not attend the New York Conservatory for Dramatic Arts before moving to L.A.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.19, 100.0, 100.0, 98.99]}}
+{"uid": "2449", "premise": "PHOTO DINO GOMEZ Rivera's gown, hairpin and veil were all designed by Monique Lhuillier, while Dorsey's suit was by Dolce & amp; Gabbana. PHOTO DINO GOMEZ Rivera's gown, hairpin and veil were all designed by Monique Lhuillier, while Dorsey's suit was by Dolce & amp; Gabbana. Originally from Charleston, W.Va., Dorsey attended the New York Conservatory for Dramatic Arts before moving to L.A.", "hypothesis": "Dorsey moved to L.A.", "label": "E", "metadata": {"context1": "PHOTO DINO GOMEZ Rivera's gown, hairpin and veil were all designed by Monique Lhuillier, while Dorsey's suit was by Dolce & amp; Gabbana.", "context2": "PHOTO DINO GOMEZ Rivera's gown, hairpin and veil were all designed by Monique Lhuillier, while Dorsey's suit was by Dolce & amp; Gabbana.", "target_sentence": "Originally from Charleston, W.Va., Dorsey attended the New York Conservatory for Dramatic Arts before moving to L.A.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.75, 100.0, 100.0, 100.0]}}
+{"uid": "245-neg", "premise": " This account of what transpired and the issues involved is supported by what transpired. The leadership didn't manage to express its support for the caucus position on the most salient issue of that period, the war in Vietnam, but it was careful to do so with all of the scientific trappings that it could reasonably employ.", "hypothesis": "Expressing its support for the caucus position on the most salient issue of that period, the war in Vietnam, would take effort from the leadership.", "label": "E", "metadata": {"context1": "", "context2": "This account of what transpired and the issues involved is supported by what transpired.", "target_sentence": "The leadership didn't manage to express its support for the caucus position on the most salient issue of that period, the war in Vietnam, but it was careful to do so with all of the scientific trappings that it could reasonably employ.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'manage to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "N", "N"], "ratings": [93.32, 99.88, 92.4, 73.14, 66.88]}}
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+{"uid": "2451-neg", "premise": " Robert Dixon after planes from Yorktown and Lexington sank the light carrier Shoho in 20 minutes. Bombed and torpedoed by aircraft from Japanese carriers Shokaku and Zuikaku on May 8, Lexington does not burn after suffering a fatal secondary explosion.", "hypothesis": "Lexington suffered a fatal secondary explosion.", "label": "E", "metadata": {"context1": "", "context2": "Robert Dixon after planes from Yorktown and Lexington sank the light carrier Shoho in 20 minutes.", "target_sentence": "Bombed and torpedoed by aircraft from Japanese carriers Shokaku and Zuikaku on May 8, Lexington does not burn after suffering a fatal secondary explosion.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2451", "premise": " Robert Dixon after planes from Yorktown and Lexington sank the light carrier Shoho in 20 minutes. Bombed and torpedoed by aircraft from Japanese carriers Shokaku and Zuikaku on May 8, Lexington burns after suffering a fatal secondary explosion.", "hypothesis": "Lexington suffered a fatal secondary explosion.", "label": "E", "metadata": {"context1": "", "context2": "Robert Dixon after planes from Yorktown and Lexington sank the light carrier Shoho in 20 minutes.", "target_sentence": "Bombed and torpedoed by aircraft from Japanese carriers Shokaku and Zuikaku on May 8, Lexington burns after suffering a fatal secondary explosion.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 99.62, 100.0]}}
+{"uid": "2452-neg", "premise": " We shouldn't risk it to chase after others. \" Still-\" I don't suggest we return here to search for them after sleeping. \"", "hypothesis": "We are going to sleep.", "label": "E", "metadata": {"context1": "", "context2": "We shouldn't risk it to chase after others. \"", "target_sentence": "Still-\" I don't suggest we return here to search for them after sleeping. \"", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [85.76, 100.0, 100.0, 100.0, 97.25]}}
+{"uid": "2452", "premise": " We shouldn't risk it to chase after others. \" Still-\" I suggest we return here to search for them after sleeping. \"", "hypothesis": "We are going to sleep.", "label": "E", "metadata": {"context1": "", "context2": "We shouldn't risk it to chase after others. \"", "target_sentence": "Still-\" I suggest we return here to search for them after sleeping. \"", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["E", "N", "E", "E", "N"], "ratings": [97.88, 75.21, 100.0, 100.0, 92.17]}}
+{"uid": "2453-neg", "premise": " But it wasn't long before the illusion of postdivorce bliss began to fade: Former spouses weren't necessarily happier, and second unions were also likely to fail. I'm not much more careful about choosing a lifelong partner, says Love, after watching divorced parents (whether it was our own or those of our friends) struggle to start over.", "hypothesis": "Love watched divorced parents struggle to start over.", "label": "E", "metadata": {"context1": "", "context2": "But it wasn't long before the illusion of postdivorce bliss began to fade: Former spouses weren't necessarily happier, and second unions were also likely to fail.", "target_sentence": "I'm not much more careful about choosing a lifelong partner, says Love, after watching divorced parents (whether it was our own or those of our friends) struggle to start over.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.66, 100.0, 98.41]}}
+{"uid": "2453", "premise": " But it wasn't long before the illusion of postdivorce bliss began to fade: Former spouses weren't necessarily happier, and second unions were also likely to fail. I'm much more careful about choosing a lifelong partner, says Love, after watching divorced parents (whether it was our own or those of our friends) struggle to start over.", "hypothesis": "Love watched divorced parents struggle to start over.", "label": "E", "metadata": {"context1": "", "context2": "But it wasn't long before the illusion of postdivorce bliss began to fade: Former spouses weren't necessarily happier, and second unions were also likely to fail.", "target_sentence": "I'm much more careful about choosing a lifelong partner, says Love, after watching divorced parents (whether it was our own or those of our friends) struggle to start over.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 97.79, 99.59]}}
+{"uid": "2456-neg", "premise": " \" It is only because you have been kind to me and always treated me with respect, that I would tell you that which I would dare not speak of to another. Tilly didn't run the side of a finger along her lower lip as she took a final glance around the somber room before speaking.", "hypothesis": "Tilly spoke.", "label": "E", "metadata": {"context1": "", "context2": "\" It is only because you have been kind to me and always treated me with respect, that I would tell you that which I would dare not speak of to another.", "target_sentence": "Tilly didn't run the side of a finger along her lower lip as she took a final glance around the somber room before speaking.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["E", "N", "E", "E", "N"], "ratings": [100.0, 50.3, 100.0, 97.74, 49.4]}}
+{"uid": "2456", "premise": " \" It is only because you have been kind to me and always treated me with respect, that I would tell you that which I would dare not speak of to another. Tilly ran the side of a finger along her lower lip as she took a final glance around the somber room before speaking.", "hypothesis": "Tilly spoke.", "label": "E", "metadata": {"context1": "", "context2": "\" It is only because you have been kind to me and always treated me with respect, that I would tell you that which I would dare not speak of to another.", "target_sentence": "Tilly ran the side of a finger along her lower lip as she took a final glance around the somber room before speaking.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 89.98, 100.0, 100.0, 100.0]}}
+{"uid": "2457-neg", "premise": " Never had I tried such divinely tasting olives before. I didn't eat them after sitting down on the steps.", "hypothesis": "I sat down on the steps.", "label": "E", "metadata": {"context1": "", "context2": "Never had I tried such divinely tasting olives before.", "target_sentence": "I didn't eat them after sitting down on the steps.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.28, 100.0, 100.0, 100.0]}}
+{"uid": "2457", "premise": " Never had I tried such divinely tasting olives before. I ate them after sitting down on the steps.", "hypothesis": "I sat down on the steps.", "label": "E", "metadata": {"context1": "", "context2": "Never had I tried such divinely tasting olives before.", "target_sentence": "I ate them after sitting down on the steps.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.02, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2458-neg", "premise": " For the next hour, Aluta adds fish after fish to her basket. When the women's catch rate begins to decline, Aluta's aunt doesn't suggest they take a break before moving to the next pond.", "hypothesis": "They will move to the next pond.", "label": "E", "metadata": {"context1": "", "context2": "For the next hour, Aluta adds fish after fish to her basket.", "target_sentence": "When the women's catch rate begins to decline, Aluta's aunt doesn't suggest they take a break before moving to the next pond.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["E", "N", "E", "N", "E"], "ratings": [96.93, 88.33, 100.0, 34.68, 99.22]}}
+{"uid": "2458", "premise": " For the next hour, Aluta adds fish after fish to her basket. When the women's catch rate begins to decline, Aluta's aunt suggests they take a break before moving to the next pond.", "hypothesis": "They will move to the next pond.", "label": "E", "metadata": {"context1": "", "context2": "For the next hour, Aluta adds fish after fish to her basket.", "target_sentence": "When the women's catch rate begins to decline, Aluta's aunt suggests they take a break before moving to the next pond.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [90.33, 100.0, 97.3, 91.76, 100.0]}}
+{"uid": "2459-neg", "premise": " He'd have sworn he'd seen it after nutmeg and cloves, but now cloves was the last ingredient. Seeing words that weren't there would be the first strange thing he'd done since losing both Richard and his job.", "hypothesis": "He lost both Richard and his job.", "label": "E", "metadata": {"context1": "", "context2": "He'd have sworn he'd seen it after nutmeg and cloves, but now cloves was the last ingredient.", "target_sentence": "Seeing words that weren't there would be the first strange thing he'd done since losing both Richard and his job.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'preposition': 'since', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 99.85]}}
+{"uid": "2459", "premise": " He'd have sworn he'd seen it after nutmeg and cloves, but now cloves was the last ingredient. Seeing words that weren't there wouldn't be the first strange thing he'd done since losing both Richard and his job.", "hypothesis": "He lost both Richard and his job.", "label": "E", "metadata": {"context1": "", "context2": "He'd have sworn he'd seen it after nutmeg and cloves, but now cloves was the last ingredient.", "target_sentence": "Seeing words that weren't there wouldn't be the first strange thing he'd done since losing both Richard and his job.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'preposition': 'since', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2460-neg", "premise": " But while Nelson often builds his songs with his large Family Band into a groove, Houck's music is more about minutiae and mood. Like Nelson, he doesn't often make sense of these states before reaching despair.", "hypothesis": "Houck often reaches despair.", "label": "E", "metadata": {"context1": "", "context2": "But while Nelson often builds his songs with his large Family Band into a groove, Houck's music is more about minutiae and mood.", "target_sentence": "Like Nelson, he doesn't often make sense of these states before reaching despair.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["E", "N", "E", "N", "E"], "ratings": [98.37, 64.75, 100.0, 52.4, 100.0]}}
+{"uid": "2460", "premise": " But while Nelson often builds his songs with his large Family Band into a groove, Houck's music is more about minutiae and mood. Like Nelson, he often makes sense of these states before reaching despair.", "hypothesis": "Houck often reaches despair.", "label": "E", "metadata": {"context1": "", "context2": "But while Nelson often builds his songs with his large Family Band into a groove, Houck's music is more about minutiae and mood.", "target_sentence": "Like Nelson, he often makes sense of these states before reaching despair.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["N", "N", "E", "E", "E"], "ratings": [62.6, 13.53, 100.0, 97.3, 99.28]}}
+{"uid": "2462-neg", "premise": " The junior at St. Thomas Aquinas College in New York has been the front runner since the contest began Oct. 1. He's not hoping to parlay his stock-picking expertise into a job on Wall Street after earning an MBA.", "hypothesis": "He will earn an MBA.", "label": "E", "metadata": {"context1": "", "context2": "The junior at St. Thomas Aquinas College in New York has been the front runner since the contest began Oct. 1.", "target_sentence": "He's not hoping to parlay his stock-picking expertise into a job on Wall Street after earning an MBA.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 92.4, 100.0, 100.0, 99.12]}}
+{"uid": "2462", "premise": " The junior at St. Thomas Aquinas College in New York has been the front runner since the contest began Oct. 1. He's hoping to parlay his stock-picking expertise into a job on Wall Street after earning an MBA.", "hypothesis": "He will earn an MBA.", "label": "E", "metadata": {"context1": "", "context2": "The junior at St. Thomas Aquinas College in New York has been the front runner since the contest began Oct. 1.", "target_sentence": "He's hoping to parlay his stock-picking expertise into a job on Wall Street after earning an MBA.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["N", "N", "E", "E", "E"], "ratings": [90.15, 97.45, 99.22, 99.22, 99.88]}}
+{"uid": "2463-neg", "premise": " Jordan was able to quash the move because the NBA doesn't have the licensing rights. Detroit coach Alvin Gentry didn't sound off after watching Toronto outscore his Pistons 40-22 from the foul line, with Vince Carter going 14 of 15", "hypothesis": "Detroit coach Alvin Gentry watched Toronto outscore his Pistons 40-22 from the foul line, with Vince Carter going 14 of 15.", "label": "E", "metadata": {"context1": "", "context2": "Jordan was able to quash the move because the NBA doesn't have the licensing rights.", "target_sentence": "Detroit coach Alvin Gentry didn't sound off after watching Toronto outscore his Pistons 40-22 from the foul line, with Vince Carter going 14 of 15", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.77, 100.0, 100.0, 100.0]}}
+{"uid": "2463", "premise": " Jordan was able to quash the move because the NBA doesn't have the licensing rights. Detroit coach Alvin Gentry sounded off after watching Toronto outscore his Pistons 40-22 from the foul line, with Vince Carter going 14 of 15", "hypothesis": "Detroit coach Alvin Gentry watched Toronto outscore his Pistons 40-22 from the foul line, with Vince Carter going 14 of 15.", "label": "E", "metadata": {"context1": "", "context2": "Jordan was able to quash the move because the NBA doesn't have the licensing rights.", "target_sentence": "Detroit coach Alvin Gentry sounded off after watching Toronto outscore his Pistons 40-22 from the foul line, with Vince Carter going 14 of 15", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2465-neg", "premise": " \"Things are stacked against me,\" Ramsey said, grinning, after the statistics of past rookie quarterbacks were rattled off. \" The sequence didn't help Ramsey settle down before guiding four touchdown drives in five possessions.", "hypothesis": "Ramsey guided four touchdown drives in five possessions.", "label": "E", "metadata": {"context1": "", "context2": "\"Things are stacked against me,\" Ramsey said, grinning, after the statistics of past rookie quarterbacks were rattled off. \"", "target_sentence": "The sequence didn't help Ramsey settle down before guiding four touchdown drives in five possessions.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.88, 100.0, 100.0, 99.54, 100.0]}}
+{"uid": "2465", "premise": " \"Things are stacked against me,\" Ramsey said, grinning, after the statistics of past rookie quarterbacks were rattled off. \" The sequence helped Ramsey settle down before guiding four touchdown drives in five possessions.", "hypothesis": "Ramsey guided four touchdown drives in five possessions.", "label": "E", "metadata": {"context1": "", "context2": "\"Things are stacked against me,\" Ramsey said, grinning, after the statistics of past rookie quarterbacks were rattled off. \"", "target_sentence": "The sequence helped Ramsey settle down before guiding four touchdown drives in five possessions.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.88, 99.69, 100.0, 100.0]}}
+{"uid": "2467", "premise": " After a breakup, you're more likely to: You witness a teen stealing a little old lady's purse before taking off down the street with it.", "hypothesis": "A teen takes off down the street with an old lady's purse.", "label": "E", "metadata": {"context1": "", "context2": "After a breakup, you're more likely to:", "target_sentence": "You witness a teen stealing a little old lady's purse before taking off down the street with it.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["E", "N", "E", "C", "E"], "ratings": [98.58, 64.47, 100.0, 0.0, 100.0]}}
+{"uid": "2468-neg", "premise": "\"If you see poles, you have to be real careful because there could be power lines.\" Indeed, during his solo flight, Trevor hovered for a while over some high-tension wires. Before his solo, Trevor doesn't map his course (top) the \"old-fashioned\" way before relying on his GPS (center) and tracking, altimeter and rate-of-climb meters (bottom) in the air.", "hypothesis": "Trevor relies on his GPS and tracking altimeter and rate-of-climb meters in the air.", "label": "E", "metadata": {"context1": "\"If you see poles, you have to be real careful because there could be power lines.\"", "context2": "Indeed, during his solo flight, Trevor hovered for a while over some high-tension wires.", "target_sentence": "Before his solo, Trevor doesn't map his course (top) the \"old-fashioned\" way before relying on his GPS (center) and tracking, altimeter and rate-of-climb meters (bottom) in the air.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.83, 99.54, 86.07, 100.0, 100.0]}}
+{"uid": "2468", "premise": "\"If you see poles, you have to be real careful because there could be power lines.\" Indeed, during his solo flight, Trevor hovered for a while over some high-tension wires. Before his solo, Trevor maps his course (top) the \"old-fashioned\" way before relying on his GPS (center) and tracking, altimeter and rate-of-climb meters (bottom) in the air.", "hypothesis": "Trevor relies on his GPS and tracking altimeter and rate-of-climb meters in the air.", "label": "N", "metadata": {"context1": "\"If you see poles, you have to be real careful because there could be power lines.\"", "context2": "Indeed, during his solo flight, Trevor hovered for a while over some high-tension wires.", "target_sentence": "Before his solo, Trevor maps his course (top) the \"old-fashioned\" way before relying on his GPS (center) and tracking, altimeter and rate-of-climb meters (bottom) in the air.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["N", "N", "C", "E", "N"], "ratings": [83.32, 12.54, 0.0, 79.42, 85.76]}}
+{"uid": "2469-neg", "premise": " New York Greenburgh: A retired police officer was \"conscious and alert\" after being shot twice when he interrupted an apparent burglary at a neighbor's home in this township north of Yonkers, The Journal News reported. Peter Schmidt Sr. wasn't shot in the arm and torso after confronting the two suspected burglars late Monday afternoon on the street.", "hypothesis": "Peter Schmidt Sr. confronted the two suspected burglars late Monday afternoon on the street.", "label": "E", "metadata": {"context1": "", "context2": "New York Greenburgh: A retired police officer was \"conscious and alert\" after being shot twice when he interrupted an apparent burglary at a neighbor's home in this township north of Yonkers, The Journal News reported.", "target_sentence": "Peter Schmidt Sr. wasn't shot in the arm and torso after confronting the two suspected burglars late Monday afternoon on the street.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 100.0, 100.0, 50.15, 100.0]}}
+{"uid": "2469", "premise": " New York Greenburgh: A retired police officer was \"conscious and alert\" after being shot twice when he interrupted an apparent burglary at a neighbor's home in this township north of Yonkers, The Journal News reported. Peter Schmidt Sr. was shot in the arm and torso after confronting the two suspected burglars late Monday afternoon on the street.", "hypothesis": "Peter Schmidt Sr. confronted the two suspected burglars late Monday afternoon on the street.", "label": "E", "metadata": {"context1": "", "context2": "New York Greenburgh: A retired police officer was \"conscious and alert\" after being shot twice when he interrupted an apparent burglary at a neighbor's home in this township north of Yonkers, The Journal News reported.", "target_sentence": "Peter Schmidt Sr. was shot in the arm and torso after confronting the two suspected burglars late Monday afternoon on the street.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "2471-neg", "premise": "Phillips says her brother prefers the scene in Fells Point as a means to stay away from characters he hung out with before he was in prison. Redd spent 12 years in jail, and Phillips says he \"has been doing great since\" he was released in October 2014, including spending time with his son. In 2004, Redd was not sentenced to 19 years in prison after pleading guilty to violating the terms of his probation on an assault charge.", "hypothesis": "Redd pleaded guilty to violating the terms of his probation on an assault charge.", "label": "E", "metadata": {"context1": "Phillips says her brother prefers the scene in Fells Point as a means to stay away from characters he hung out with before he was in prison.", "context2": "Redd spent 12 years in jail, and Phillips says he \"has been doing great since\" he was released in October 2014, including spending time with his son.", "target_sentence": "In 2004, Redd was not sentenced to 19 years in prison after pleading guilty to violating the terms of his probation on an assault charge.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.57, 100.0, 100.0]}}
+{"uid": "2471", "premise": "Phillips says her brother prefers the scene in Fells Point as a means to stay away from characters he hung out with before he was in prison. Redd spent 12 years in jail, and Phillips says he \"has been doing great since\" he was released in October 2014, including spending time with his son. In 2004, Redd was sentenced to 19 years in prison after pleading guilty to violating the terms of his probation on an assault charge.", "hypothesis": "Redd pleaded guilty to violating the terms of his probation on an assault charge.", "label": "E", "metadata": {"context1": "Phillips says her brother prefers the scene in Fells Point as a means to stay away from characters he hung out with before he was in prison.", "context2": "Redd spent 12 years in jail, and Phillips says he \"has been doing great since\" he was released in October 2014, including spending time with his son.", "target_sentence": "In 2004, Redd was sentenced to 19 years in prison after pleading guilty to violating the terms of his probation on an assault charge.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 99.4, 100.0]}}
+{"uid": "2472-neg", "premise": " Barb dreaded summer break because she enjoyed her days at school. May came and her Aunt Mabel, Mrs. Magee, didn't let the class play on the playground all aftemoon on the next to last day of school before giving out final report cards.", "hypothesis": "Mrs. Magee gave out final report cards.", "label": "E", "metadata": {"context1": "", "context2": "Barb dreaded summer break because she enjoyed her days at school.", "target_sentence": "May came and her Aunt Mabel, Mrs. Magee, didn't let the class play on the playground all aftemoon on the next to last day of school before giving out final report cards.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 97.35, 100.0, 99.37]}}
+{"uid": "2472", "premise": " Barb dreaded summer break because she enjoyed her days at school. May came and her Aunt Mabel, Mrs. Magee, let the class play on the playground all aftemoon on the next to last day of school before giving out final report cards.", "hypothesis": "Mrs. Magee gave out final report cards.", "label": "E", "metadata": {"context1": "", "context2": "Barb dreaded summer break because she enjoyed her days at school.", "target_sentence": "May came and her Aunt Mabel, Mrs. Magee, let the class play on the playground all aftemoon on the next to last day of school before giving out final report cards.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.97, 100.0, 99.64, 100.0, 100.0]}}
+{"uid": "2473-neg", "premise": "And Dr. Ramsey recommends ibuprofen for sunburn because of its anti-inflammatory action. Most exercise pain comes on the day after and is a sign of mild strain of muscles from overuse. You don't need to give the sore parts about 48 hours to recover before working out again.", "hypothesis": "You will work out again.", "label": "E", "metadata": {"context1": "And Dr. Ramsey recommends ibuprofen for sunburn because of its anti-inflammatory action.", "context2": "Most exercise pain comes on the day after and is a sign of mild strain of muscles from overuse.", "target_sentence": "You don't need to give the sore parts about 48 hours to recover before working out again.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [99.9, 100.0, 99.77, 90.59, 74.83]}}
+{"uid": "2473", "premise": "And Dr. Ramsey recommends ibuprofen for sunburn because of its anti-inflammatory action. Most exercise pain comes on the day after and is a sign of mild strain of muscles from overuse. You need to give the sore parts about 48 hours to recover before working out again.", "hypothesis": "You will work out again.", "label": "N", "metadata": {"context1": "And Dr. Ramsey recommends ibuprofen for sunburn because of its anti-inflammatory action.", "context2": "Most exercise pain comes on the day after and is a sign of mild strain of muscles from overuse.", "target_sentence": "You need to give the sore parts about 48 hours to recover before working out again.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["N", "N", "N", "E", "E"], "ratings": [87.95, 69.24, 57.62, 96.77, 82.43]}}
+{"uid": "2475-neg", "premise": " This wasn't, Oh, the take's over, let me go kick my feet up in my trailer while I get a massage. This was, I don't have a couple minutes after finishing the take, let me lie on my cot and shiver.", "hypothesis": "I will finish the take.", "label": "N", "metadata": {"context1": "", "context2": "This wasn't, Oh, the take's over, let me go kick my feet up in my trailer while I get a massage.", "target_sentence": "This was, I don't have a couple minutes after finishing the take, let me lie on my cot and shiver.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["N", "E", "N", "N", "E"], "ratings": [53.15, 91.35, 92.48, 79.89, 99.12]}}
+{"uid": "2475", "premise": " This wasn't, Oh, the take's over, let me go kick my feet up in my trailer while I get a massage. This was, I have a couple minutes after finishing the take, let me lie on my cot and shiver.", "hypothesis": "I will finish the take.", "label": "E", "metadata": {"context1": "", "context2": "This wasn't, Oh, the take's over, let me go kick my feet up in my trailer while I get a massage.", "target_sentence": "This was, I have a couple minutes after finishing the take, let me lie on my cot and shiver.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [99.71, 6.31, 98.77, 100.0, 100.0]}}
+{"uid": "2477-neg", "premise": " \"Our state law has only been utilized twice because trafficking is being prosecuted under other laws,\" Finger noted. In December, eight people, including some claiming allegiance to the Crips street gang, were not arrested after allegedly advertising juvenile girls for sex on Backpage.com.", "hypothesis": "Eight people, including some claiming allegiance to the Crips street gang, allegedly advertised juvenile girls for sex on Bakpage.com.", "label": "E", "metadata": {"context1": "", "context2": "\"Our state law has only been utilized twice because trafficking is being prosecuted under other laws,\" Finger noted.", "target_sentence": "In December, eight people, including some claiming allegiance to the Crips street gang, were not arrested after allegedly advertising juvenile girls for sex on Backpage.com.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 99.51, 100.0, 87.27, 100.0]}}
+{"uid": "2477", "premise": " \"Our state law has only been utilized twice because trafficking is being prosecuted under other laws,\" Finger noted. In December, eight people, including some claiming allegiance to the Crips street gang, were arrested after allegedly advertising juvenile girls for sex on Backpage.com.", "hypothesis": "Eight people, including some claiming allegiance to the Crips street gang, allegedly advertised juvenile girls for sex on Bakpage.com.", "label": "E", "metadata": {"context1": "", "context2": "\"Our state law has only been utilized twice because trafficking is being prosecuted under other laws,\" Finger noted.", "target_sentence": "In December, eight people, including some claiming allegiance to the Crips street gang, were arrested after allegedly advertising juvenile girls for sex on Backpage.com.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.9, 100.0, 98.88]}}
+{"uid": "2478-neg", "premise": " In the other (job circumstances), the defendant's brother died suddenly after discovering that his application for a job had been unsuccessful. Participants didn't give sentencing recommendations and their attributions after reading the crime scenarios.", "hypothesis": "Participants read the crime scenarios.", "label": "E", "metadata": {"context1": "", "context2": "In the other (job circumstances), the defendant's brother died suddenly after discovering that his application for a job had been unsuccessful.", "target_sentence": "Participants didn't give sentencing recommendations and their attributions after reading the crime scenarios.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 99.51, 100.0]}}
+{"uid": "2478", "premise": " In the other (job circumstances), the defendant's brother died suddenly after discovering that his application for a job had been unsuccessful. Participants gave sentencing recommendations and their attributions after reading the crime scenarios.", "hypothesis": "Participants read the crime scenarios.", "label": "E", "metadata": {"context1": "", "context2": "In the other (job circumstances), the defendant's brother died suddenly after discovering that his application for a job had been unsuccessful.", "target_sentence": "Participants gave sentencing recommendations and their attributions after reading the crime scenarios.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 100.0, 96.54, 100.0, 100.0]}}
+{"uid": "248-neg", "premise": "I contemplated the list of instructions I had, which now covered almost an entire page. What a mess! The four execs hadn't managed to pick locations that were all far away from each other.", "hypothesis": "It would take effort from the four execs to pick locations that were all far away from each other.", "label": "N", "metadata": {"context1": "I contemplated the list of instructions I had, which now covered almost an entire page.", "context2": "What a mess!", "target_sentence": "The four execs hadn't managed to pick locations that were all far away from each other.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["N", "N", "N", "N", "E"], "ratings": [61.73, 82.09, 62.16, 88.33, 93.62]}}
+{"uid": "248", "premise": "I contemplated the list of instructions I had, which now covered almost an entire page. What a mess! The four execs had managed to pick locations that were all far away from each other.", "hypothesis": "It would take effort from the four execs to pick locations that were all far away from each other.", "label": "N", "metadata": {"context1": "I contemplated the list of instructions I had, which now covered almost an entire page.", "context2": "What a mess!", "target_sentence": "The four execs had managed to pick locations that were all far away from each other.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["C", "E", "N", "N", "N"], "ratings": [0.78, 99.34, 39.59, 20.82, 10.2]}}
+{"uid": "2480-neg", "premise": "We must teach more students because everyone needs to understand music. We must involve more students because inclusiveness builds program support from families and friends. Music teachers and communities should therefore assess the success of programs on at least three key criteria: Achievementthe scope and depth of what students learn; Participationhow many students benefit from music classes; andImpactwhether participating students are not motivated and empowered to continue their musical involvement after moving to the next level.", "hypothesis": "Students will move to the next level in music classes.", "label": "N", "metadata": {"context1": "We must teach more students because everyone needs to understand music.", "context2": "We must involve more students because inclusiveness builds program support from families and friends.", "target_sentence": "Music teachers and communities should therefore assess the success of programs on at least three key criteria: Achievementthe scope and depth of what students learn; Participationhow many students benefit from music classes; andImpactwhether participating students are not motivated and empowered to continue their musical involvement after moving to the next level.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [81.52, 88.33, 61.0, 53.15, 83.1]}}
+{"uid": "2480", "premise": "We must teach more students because everyone needs to understand music. We must involve more students because inclusiveness builds program support from families and friends. Music teachers and communities should therefore assess the success of programs on at least three key criteria: Achievementthe scope and depth of what students learn; Participationhow many students benefit from music classes; andImpactwhether participating students are motivated and empowered to continue their musical involvement after moving to the next level.", "hypothesis": "Students will move to the next level in music classes.", "label": "N", "metadata": {"context1": "We must teach more students because everyone needs to understand music.", "context2": "We must involve more students because inclusiveness builds program support from families and friends.", "target_sentence": "Music teachers and communities should therefore assess the success of programs on at least three key criteria: Achievementthe scope and depth of what students learn; Participationhow many students benefit from music classes; andImpactwhether participating students are motivated and empowered to continue their musical involvement after moving to the next level.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "AW", "nli_labels": ["N", "N", "E", "E", "N"], "ratings": [86.07, 75.09, 100.0, 100.0, 83.53]}}
+{"uid": "249-neg", "premise": "Abbas' party, Fatah, lost the January 2006 parliamentary elections to Hamas by a slim margin in what was largely a protest vote against Fatah corruption and sclerosis. Hamas formed a new PA government and took power for the first time. Subsequent outside efforts to moderate the organization, such as the February 2007 Mecca accord, which produced a Hamas-Fatah unity government, didn't fail to convince Hamas to renounce violence and terrorism.", "hypothesis": "Outside efforts to moderate the organization made the attempt convince Hamas to renounce violence and terrorism.", "label": "E", "metadata": {"context1": "Abbas' party, Fatah, lost the January 2006 parliamentary elections to Hamas by a slim margin in what was largely a protest vote against Fatah corruption and sclerosis.", "context2": "Hamas formed a new PA government and took power for the first time.", "target_sentence": "Subsequent outside efforts to moderate the organization, such as the February 2007 Mecca accord, which produced a Hamas-Fatah unity government, didn't fail to convince Hamas to renounce violence and terrorism.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [92.48, 99.93, 85.97, 100.0, 75.09]}}
+{"uid": "249", "premise": "Abbas' party, Fatah, lost the January 2006 parliamentary elections to Hamas by a slim margin in what was largely a protest vote against Fatah corruption and sclerosis. Hamas formed a new PA government and took power for the first time. Subsequent outside efforts to moderate the organization, such as the February 2007 Mecca accord, which produced a Hamas-Fatah unity government, failed to convince Hamas to renounce violence and terrorism.", "hypothesis": "Outside efforts to moderate the organization made the attempt convince Hamas to renounce violence and terrorism.", "label": "E", "metadata": {"context1": "Abbas' party, Fatah, lost the January 2006 parliamentary elections to Hamas by a slim margin in what was largely a protest vote against Fatah corruption and sclerosis.", "context2": "Hamas formed a new PA government and took power for the first time.", "target_sentence": "Subsequent outside efforts to moderate the organization, such as the February 2007 Mecca accord, which produced a Hamas-Fatah unity government, failed to convince Hamas to renounce violence and terrorism.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["E", "C", "E", "N", "E"], "ratings": [88.98, 1.35, 100.0, 89.62, 100.0]}}
+{"uid": "25-neg", "premise": " During the two following weeks, the phone calls and the incoming envelopes were registered. After two weeks, the participants didn't return but they received a sheet with their 10 goals and the two instructions that did not involve previous contacts with us typed on it (i.e., the text on their hobbies and their friend's birthday).", "hypothesis": "The participants were away before.", "label": "E", "metadata": {"context1": "", "context2": "During the two following weeks, the phone calls and the incoming envelopes were registered.", "target_sentence": "After two weeks, the participants didn't return but they received a sheet with their 10 goals and the two instructions that did not involve previous contacts with us typed on it (i.e., the text on their hobbies and their friend's birthday).", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'returned'}", "trigger_type": "change_of_state", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 97.84, 100.0, 93.47]}}
+{"uid": "25", "premise": " During the two following weeks, the phone calls and the incoming envelopes were registered. After two weeks, the participants returned and they received a sheet with their 10 goals and the two instructions that did not involve previous contacts with us typed on it (i.e., the text on their hobbies and their friend's birthday).", "hypothesis": "The participants were away before.", "label": "E", "metadata": {"context1": "", "context2": "During the two following weeks, the phone calls and the incoming envelopes were registered.", "target_sentence": "After two weeks, the participants returned and they received a sheet with their 10 goals and the two instructions that did not involve previous contacts with us typed on it (i.e., the text on their hobbies and their friend's birthday).", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'returned'}", "trigger_type": "change_of_state", "annotator": "ZZ", "nli_labels": ["N", "E", "E", "N", "E"], "ratings": [81.64, 100.0, 93.69, 77.72, 100.0]}}
+{"uid": "250-neg", "premise": "My husband had sent me away for the summer. \"I have to be alone,\" he'd pleaded. He didn't forget to eat, often did not sleep, could most frequently be found staring at his own thoughts.", "hypothesis": "He was supposed to eat.", "label": "E", "metadata": {"context1": "My husband had sent me away for the summer.", "context2": "\"I have to be alone,\" he'd pleaded.", "target_sentence": "He didn't forget to eat, often did not sleep, could most frequently be found staring at his own thoughts.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'forgot to', 'inference': 'the subject is supposed to take the action'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["E", "E", "N", "N", "E"], "ratings": [100.0, 98.95, 91.35, 83.53, 100.0]}}
+{"uid": "250", "premise": "My husband had sent me away for the summer. \"I have to be alone,\" he'd pleaded. He forgot to eat, often did not sleep, could most frequently be found staring at his own thoughts.", "hypothesis": "He was supposed to eat.", "label": "E", "metadata": {"context1": "My husband had sent me away for the summer.", "context2": "\"I have to be alone,\" he'd pleaded.", "target_sentence": "He forgot to eat, often did not sleep, could most frequently be found staring at his own thoughts.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'forgot to', 'inference': 'the subject is supposed to take the action'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 95.9, 98.11, 99.54, 100.0]}}
+{"uid": "253-neg", "premise": "Apple: An Apple spokesman said that for its current products, the company has switched to synthetic graphite, which is not mined. The company didn't decline to say when it made this change to rely exclusively on synthetic graphite.", "hypothesis": "The company was expected to say when it made this change to rely exclusively on synthetic graphite.", "label": "N", "metadata": {"context1": "Apple:", "context2": "An Apple spokesman said that for its current products, the company has switched to synthetic graphite, which is not mined.", "target_sentence": "The company didn't decline to say when it made this change to rely exclusively on synthetic graphite.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["N", "C", "E", "N", "N"], "ratings": [30.22, 2.07, 89.89, 45.81, 90.67]}}
+{"uid": "253", "premise": "Apple: An Apple spokesman said that for its current products, the company has switched to synthetic graphite, which is not mined. The company declined to say when it made this change to rely exclusively on synthetic graphite.", "hypothesis": "The company was expected to say when it made this change to rely exclusively on synthetic graphite.", "label": "N", "metadata": {"context1": "Apple:", "context2": "An Apple spokesman said that for its current products, the company has switched to synthetic graphite, which is not mined.", "target_sentence": "The company declined to say when it made this change to rely exclusively on synthetic graphite.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["N", "N", "N", "E", "N"], "ratings": [66.17, 12.93, 73.79, 83.1, 65.46]}}
+{"uid": "254-neg", "premise": "And they say there was high anxiety in the White House about what would happen in Congress if Clinton had been forced to send ground troops into the region.  The House, in a tie vote that was widely viewed as a stunning repudiation of the president, didn't fail to pass a resolution approving the air war in Kosovo.", "hypothesis": "The House made an attempt to pass a resolution approving the air war in Kosovo.", "label": "E", "metadata": {"context1": "And they say there was high anxiety in the White House about what would happen in Congress if Clinton had been forced to send ground troops into the region.", "context2": "", "target_sentence": "The House, in a tie vote that was widely viewed as a stunning repudiation of the president, didn't fail to pass a resolution approving the air war in Kosovo.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 100.0, 93.62, 76.48, 99.64]}}
+{"uid": "254", "premise": "And they say there was high anxiety in the White House about what would happen in Congress if Clinton had been forced to send ground troops into the region.  The House, in a tie vote that was widely viewed as a stunning repudiation of the president, failed to pass a resolution approving the air war in Kosovo.", "hypothesis": "The House made an attempt to pass a resolution approving the air war in Kosovo.", "label": "E", "metadata": {"context1": "And they say there was high anxiety in the White House about what would happen in Congress if Clinton had been forced to send ground troops into the region.", "context2": "", "target_sentence": "The House, in a tie vote that was widely viewed as a stunning repudiation of the president, failed to pass a resolution approving the air war in Kosovo.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.22, 100.0, 92.09, 100.0]}}
+{"uid": "255-neg", "premise": "  Since first seeing Oliver's paintings, I hadn't managed to pass by his show regularly.", "hypothesis": "It would take effort from me to pass by his show regularly.", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "Since first seeing Oliver's paintings, I hadn't managed to pass by his show regularly.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [70.6, 51.5, 75.85, 86.47, 79.18]}}
+{"uid": "255", "premise": "  Since first seeing Oliver's paintings, I'd managed to pass by his show regularly.", "hypothesis": "It would take effort from me to pass by his show regularly.", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "Since first seeing Oliver's paintings, I'd managed to pass by his show regularly.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["N", "E", "N", "C", "N"], "ratings": [67.85, 99.59, 58.21, 2.07, 2.96]}}
+{"uid": "26-neg", "premise": "and he put more brushwood on the fire, its prickles stabbing his hands, and he dragged himself over to the quilts to wake the old man. At first he would not waken and the boy shook him. Then he didn't open his eyes and gave out a cry of alarm and gazed frenziedly about him.", "hypothesis": "His eyes were closed before.", "label": "E", "metadata": {"context1": "and he put more brushwood on the fire, its prickles stabbing his hands, and he dragged himself over to the quilts to wake the old man.", "context2": "At first he would not waken and the boy shook him.", "target_sentence": "Then he didn't open his eyes and gave out a cry of alarm and gazed frenziedly about him.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'opened'}", "trigger_type": "change_of_state", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "C", "E"], "ratings": [100.0, 100.0, 98.62, 0.0, 100.0]}}
+{"uid": "26", "premise": "and he put more brushwood on the fire, its prickles stabbing his hands, and he dragged himself over to the quilts to wake the old man. At first he would not waken and the boy shook him. Then he opened his eyes and gave out a cry of alarm and gazed frenziedly about him.", "hypothesis": "His eyes were closed before.", "label": "E", "metadata": {"context1": "and he put more brushwood on the fire, its prickles stabbing his hands, and he dragged himself over to the quilts to wake the old man.", "context2": "At first he would not waken and the boy shook him.", "target_sentence": "Then he opened his eyes and gave out a cry of alarm and gazed frenziedly about him.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'opened'}", "trigger_type": "change_of_state", "annotator": "ZZ", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 100.0, 50.15, 99.75, 100.0]}}
+{"uid": "261-neg", "premise": "I' m not sure that's true, Ted. Ronald Reagan didn't manage to win two elections very handily with a measurable percentage of the public dead against him.", "hypothesis": "Ronald Reagan attempted to win two elections very handily with a measurable percentage of the public dead against him.", "label": "E", "metadata": {"context1": "I' m", "context2": "not sure that's true, Ted.", "target_sentence": "Ronald Reagan didn't manage to win two elections very handily with a measurable percentage of the public dead against him.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["E", "N", "N", "E", "E"], "ratings": [97.88, 85.35, 49.7, 100.0, 100.0]}}
+{"uid": "261", "premise": "I' m not sure that's true, Ted. Ronald Reagan managed to win two elections very handily with a measurable percentage of the public dead against him.", "hypothesis": "Ronald Reagan attempted to win two elections very handily with a measurable percentage of the public dead against him.", "label": "E", "metadata": {"context1": "I' m", "context2": "not sure that's true, Ted.", "target_sentence": "Ronald Reagan managed to win two elections very handily with a measurable percentage of the public dead against him.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 99.37, 100.0]}}
+{"uid": "263-neg", "premise": "Nonetheless, there are problems with the federal approach. It is not clear, for example, that either Congress or the SEC has the ability to identify a model governance structure. extensive empirical research hasn't failed to demonstrate a relationship between director independence and corporate performance With respect to board independence.", "hypothesis": "extensive empirical research attempted to demonstrate a relationship between director independence and corporate performance With respect to board independence.", "label": "E", "metadata": {"context1": "Nonetheless, there are problems with the federal approach.", "context2": "It is not clear, for example, that either Congress or the SEC has the ability to identify a model governance structure.", "target_sentence": "extensive empirical research hasn't failed to demonstrate a relationship between director independence and corporate performance With respect to board independence.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [100.0, 100.0, 100.0, 100.0, 82.2]}}
+{"uid": "263", "premise": "Nonetheless, there are problems with the federal approach. It is not clear, for example, that either Congress or the SEC has the ability to identify a model governance structure. extensive empirical research has failed to demonstrate a relationship between director independence and corporate performance With respect to board independence.", "hypothesis": "extensive empirical research attempted to demonstrate a relationship between director independence and corporate performance With respect to board independence.", "label": "E", "metadata": {"context1": "Nonetheless, there are problems with the federal approach.", "context2": "It is not clear, for example, that either Congress or the SEC has the ability to identify a model governance structure.", "target_sentence": "extensive empirical research has failed to demonstrate a relationship between director independence and corporate performance With respect to board independence.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [99.37, 89.8, 9.15, 100.0, 100.0]}}
+{"uid": "264-neg", "premise": "Problem child? Well, you know, every day I have a new favorite. Oh my gosh, I didn't forget to tell you this.", "hypothesis": "I was supposed to tell you this.", "label": "N", "metadata": {"context1": "Problem child?", "context2": "Well, you know, every day I have a new favorite.", "target_sentence": "Oh my gosh, I didn't forget to tell you this.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'forgot to', 'inference': 'the subject is supposed to take the action'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["N", "E", "N", "N", "E"], "ratings": [84.72, 99.51, 92.95, 16.03, 100.0]}}
+{"uid": "264", "premise": "Problem child? Well, you know, every day I have a new favorite. Oh my gosh, I forgot to tell you this.", "hypothesis": "I was supposed to tell you this.", "label": "N", "metadata": {"context1": "Problem child?", "context2": "Well, you know, every day I have a new favorite.", "target_sentence": "Oh my gosh, I forgot to tell you this.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'forgot to', 'inference': 'the subject is supposed to take the action'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["N", "N", "N", "E", "E"], "ratings": [83.1, 22.9, 65.89, 96.71, 97.98]}}
+{"uid": "266-neg", "premise": "Syria joined the ITC in 1983 whereupon Turkey, Syria and Iraq held sixteen meetings until 1993. the riparians didn't fail to empower the JTC with either a clear or jointly agreed mandate.", "hypothesis": "the riparians made the effort to empower the JTC with either a clear or jointly agreed mandate.", "label": "E", "metadata": {"context1": "Syria joined the ITC in 1983", "context2": "whereupon Turkey, Syria and Iraq held sixteen meetings until 1993.", "target_sentence": "the riparians didn't fail to empower the JTC with either a clear or jointly agreed mandate.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.12, 99.51, 99.75, 95.9, 99.37]}}
+{"uid": "266", "premise": "Syria joined the ITC in 1983 whereupon Turkey, Syria and Iraq held sixteen meetings until 1993. the riparians failed to empower the JTC with either a clear or jointly agreed mandate.", "hypothesis": "the riparians made the effort to empower the JTC with either a clear or jointly agreed mandate.", "label": "E", "metadata": {"context1": "Syria joined the ITC in 1983", "context2": "whereupon Turkey, Syria and Iraq held sixteen meetings until 1993.", "target_sentence": "the riparians failed to empower the JTC with either a clear or jointly agreed mandate.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "N", "N"], "ratings": [99.4, 100.0, 100.0, 24.91, 74.31]}}
+{"uid": "267-neg", "premise": " Harrison made decent grades, but he struggled with the SATs. he didn't fail to meet the NCAA's requirements The first time he took the standardized test.", "hypothesis": "he made the effort to meet the NCAA's requirements the first time he took the standardized test.", "label": "E", "metadata": {"context1": "", "context2": "Harrison made decent grades, but he struggled with the SATs.", "target_sentence": "he didn't fail to meet the NCAA's requirements The first time he took the standardized test.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 100.0, 18.82, 100.0, 100.0]}}
+{"uid": "267", "premise": " Harrison made decent grades, but he struggled with the SATs. he failed to meet the NCAA's requirements The first time he took the standardized test.", "hypothesis": "he made the effort to meet the NCAA's requirements the first time he took the standardized test.", "label": "E", "metadata": {"context1": "", "context2": "Harrison made decent grades, but he struggled with the SATs.", "target_sentence": "he failed to meet the NCAA's requirements The first time he took the standardized test.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["E", "N", "E", "E", "C"], "ratings": [100.0, 55.69, 96.66, 97.14, 0.0]}}
+{"uid": "268-neg", "premise": " The senior executive at Glenwood, who was deeply involved in the company's political activities and campaign contributions, was also cooperating with federal authorities, according to the complaint. Alan Levine, a lawyer for Glenwood Management, didn't decline to comment on the complaint.", "hypothesis": "Alan Levine, a lawyer for Glenwood Management, was asked to comment on the complaint.", "label": "E", "metadata": {"context1": "", "context2": "The senior executive at Glenwood, who was deeply involved in the company's political activities and campaign contributions, was also cooperating with federal authorities, according to the complaint.", "target_sentence": "Alan Levine, a lawyer for Glenwood Management, didn't decline to comment on the complaint.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 72.74, 93.84, 100.0, 96.54]}}
+{"uid": "268", "premise": " The senior executive at Glenwood, who was deeply involved in the company's political activities and campaign contributions, was also cooperating with federal authorities, according to the complaint. Alan Levine, a lawyer for Glenwood Management, declined to comment on the complaint.", "hypothesis": "Alan Levine, a lawyer for Glenwood Management, was asked to comment on the complaint.", "label": "E", "metadata": {"context1": "", "context2": "The senior executive at Glenwood, who was deeply involved in the company's political activities and campaign contributions, was also cooperating with federal authorities, according to the complaint.", "target_sentence": "Alan Levine, a lawyer for Glenwood Management, declined to comment on the complaint.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [96.02, 95.59, 100.0, 100.0, 97.88]}}
+{"uid": "270-neg", "premise": " she was about three -- she didn't manage to undo the front gate and get out.", "hypothesis": "It would take effort from her to undo the front gate and get out.", "label": "E", "metadata": {"context1": "", "context2": "she was about three --", "target_sentence": "she didn't manage to undo the front gate and get out.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 60.41, 99.87, 90.76, 100.0]}}
+{"uid": "270", "premise": " she was about three -- she managed to undo the front gate and get out.", "hypothesis": "It would take effort from her to undo the front gate and get out.", "label": "N", "metadata": {"context1": "", "context2": "she was about three --", "target_sentence": "she managed to undo the front gate and get out.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["E", "N", "N", "N", "E"], "ratings": [100.0, 39.73, 70.47, 76.35, 98.77]}}
+{"uid": "271-neg", "premise": "  He doesn't avoid looking upon his own works as precious objects.", "hypothesis": "He is expected to look upon his own works as precious objects.", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "He doesn't avoid looking upon his own works as precious objects.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'avoids', 'inference': 'the event was expected from the subject'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [73.4, 83.53, 63.32, 22.03, 90.76]}}
+{"uid": "271", "premise": "  He avoids looking upon his own works as precious objects.", "hypothesis": "He is expected to look upon his own works as precious objects.", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "He avoids looking upon his own works as precious objects.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'avoids', 'inference': 'the event was expected from the subject'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [66.74, 62.89, 66.88, 19.52, 8.24]}}
+{"uid": "274-neg", "premise": "Susan Scott is a wonder. We sold over forty copies of the book, which was very pleasant, but much more thrilling from my standpoint was the food. Susan didn't manage to procure ration coupons for icing sugar and real eggs for the meringue.", "hypothesis": "Itwould take effort from Susan to procure ration coupons for icing sugar and real eggs for the meringue.", "label": "N", "metadata": {"context1": "Susan Scott is a wonder.", "context2": "We sold over forty copies of the book, which was very pleasant, but much more thrilling from my standpoint was the food.", "target_sentence": "Susan didn't manage to procure ration coupons for icing sugar and real eggs for the meringue.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["E", "N", "E", "N", "N"], "ratings": [99.83, 90.85, 97.4, 61.15, 54.05]}}
+{"uid": "274", "premise": "Susan Scott is a wonder. We sold over forty copies of the book, which was very pleasant, but much more thrilling from my standpoint was the food. Susan managed to procure ration coupons for icing sugar and real eggs for the meringue.", "hypothesis": "Itwould take effort from Susan to procure ration coupons for icing sugar and real eggs for the meringue.", "label": "E", "metadata": {"context1": "Susan Scott is a wonder.", "context2": "We sold over forty copies of the book, which was very pleasant, but much more thrilling from my standpoint was the food.", "target_sentence": "Susan managed to procure ration coupons for icing sugar and real eggs for the meringue.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [98.07, 86.67, 78.46, 85.24, 98.16]}}
+{"uid": "275-neg", "premise": "She slipped past the door, then grabbed its edges and pulled hard. It swung closed with a screech of stone on stone. She didn't manage to snatch away her hands before it crashed into place.", "hypothesis": "It would take effort from her to snatch away her hands before it crashed into place.", "label": "E", "metadata": {"context1": "She slipped past the door, then grabbed its edges and pulled hard.", "context2": "It swung closed with a screech of stone on stone.", "target_sentence": "She didn't manage to snatch away her hands before it crashed into place.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["N", "E", "E", "E", "N"], "ratings": [82.32, 99.71, 95.9, 95.46, 75.6]}}
+{"uid": "275", "premise": "She slipped past the door, then grabbed its edges and pulled hard. It swung closed with a screech of stone on stone. She managed to snatch away her hands before it crashed into place.", "hypothesis": "It would take effort from her to snatch away her hands before it crashed into place.", "label": "E", "metadata": {"context1": "She slipped past the door, then grabbed its edges and pulled hard.", "context2": "It swung closed with a screech of stone on stone.", "target_sentence": "She managed to snatch away her hands before it crashed into place.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["N", "E", "N", "E", "E"], "ratings": [88.8, 99.94, 71.01, 87.56, 100.0]}}
+{"uid": "276-neg", "premise": "I want to say a few words in a moment about Togo West and Hershel Gober and the direction of the Department of Veteran Affairs and its mission, but first I'd like to make one brief announcement. Since March, I have asked Congress to establish a home heating oil reserve in the Northeast to reduce the chance that future shortages will hurt consumers as they did last winter. Congress hasn't failed to act again and time is running out.", "hypothesis": "Congress took the effort to act", "label": "E", "metadata": {"context1": "I want to say a few words in a moment about Togo West and Hershel Gober and the direction of the Department of Veteran Affairs and its mission, but first I'd like to make one brief announcement.", "context2": "Since March, I have asked Congress to establish a home heating oil reserve in the Northeast to reduce the chance that future shortages will hurt consumers as they did last winter.", "target_sentence": "Congress hasn't failed to act again and time is running out.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["C", "E", "E", "N", "E"], "ratings": [1.55, 100.0, 100.0, 11.39, 100.0]}}
+{"uid": "276", "premise": "I want to say a few words in a moment about Togo West and Hershel Gober and the direction of the Department of Veteran Affairs and its mission, but first I'd like to make one brief announcement. Since March, I have asked Congress to establish a home heating oil reserve in the Northeast to reduce the chance that future shortages will hurt consumers as they did last winter. Congress has failed to act again and time is running out.", "hypothesis": "Congress took the effort to act", "label": "C", "metadata": {"context1": "I want to say a few words in a moment about Togo West and Hershel Gober and the direction of the Department of Veteran Affairs and its mission, but first I'd like to make one brief announcement.", "context2": "Since March, I have asked Congress to establish a home heating oil reserve in the Northeast to reduce the chance that future shortages will hurt consumers as they did last winter.", "target_sentence": "Congress has failed to act again and time is running out.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "ZZ", "nli_labels": ["C", "C", "C", "C", "N"], "ratings": [0.0, 0.0, 1.05, 0.23, 11.96]}}
+{"uid": "278-neg", "premise": " There is a sad parallel between the Bill Clinton saga and the New York jury finding a gun manufacturer at fault because a thug used their product to murder. It's not the case that in both cases reviewed here the guilt of the perpetrator was minimized and the blame spread elsewhere, essentially denying any personal responsibility.", "hypothesis": "There are exactly two cases that are reviewed here.", "label": "E", "metadata": {"context1": "", "context2": "There is a sad parallel between the Bill Clinton saga and the New York jury finding a gun manufacturer at fault because a thug used their product to murder.", "target_sentence": "It's not the case that in both cases reviewed here the guilt of the perpetrator was minimized and the blame spread elsewhere, essentially denying any personal responsibility.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "ZZ", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [96.93, 100.0, 91.35, 100.0, 100.0]}}
+{"uid": "278", "premise": " There is a sad parallel between the Bill Clinton saga and the New York jury finding a gun manufacturer at fault because a thug used their product to murder. In both cases reviewed here, the guilt of the perpetrator was minimized and the blame spread elsewhere, essentially denying any personal responsibility.", "hypothesis": "There are exactly two cases that are reviewed here.", "label": "E", "metadata": {"context1": "", "context2": "There is a sad parallel between the Bill Clinton saga and the New York jury finding a gun manufacturer at fault because a thug used their product to murder.", "target_sentence": "In both cases reviewed here, the guilt of the perpetrator was minimized and the blame spread elsewhere, essentially denying any personal responsibility.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "ZZ", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [99.94, 100.0, 18.48, 100.0, 100.0]}}
+{"uid": "279-neg", "premise": "having been in communications and been with Midway Airlines, I was considering the front desk as well- food and beverage in a management position or possibly even security. Mr. BRINKLEY: Well, both of you here today didn't stand in line for a good long time, which became a kind of social scene, I understand.", "hypothesis": "There are two of you here today.", "label": "E", "metadata": {"context1": "having been in communications and been with Midway Airlines, I was considering the front desk as well- food and beverage in a management position or possibly even security.", "context2": "Mr. BRINKLEY:", "target_sentence": "Well, both of you here today didn't stand in line for a good long time, which became a kind of social scene, I understand.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "ZZ", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [97.14, 4.86, 100.0, 98.62, 99.12]}}
+{"uid": "279", "premise": "having been in communications and been with Midway Airlines, I was considering the front desk as well- food and beverage in a management position or possibly even security. Mr. BRINKLEY: Well, both of you here today stood in line for a good long time, which became a kind of social scene, I understand.", "hypothesis": "There are two of you here today.", "label": "N", "metadata": {"context1": "having been in communications and been with Midway Airlines, I was considering the front desk as well- food and beverage in a management position or possibly even security.", "context2": "Mr. BRINKLEY:", "target_sentence": "Well, both of you here today stood in line for a good long time, which became a kind of social scene, I understand.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "ZZ", "nli_labels": ["N", "N", "N", "E", "E"], "ratings": [81.86, 75.85, 88.14, 99.49, 94.94]}}
+{"uid": "281-neg", "premise": "Fifty-four speeches by the president of the United States over the last year, a year's conversation with the American people, and they've been heavily engaged in this conversation for nine months. The Senate bill's been out there now for three months. after all of this hand-wringing, all of this debate, millions of Americans upset on both sides of this debate about the Senate bill, we're not about to make this historic change on a purely partisan vote.", "hypothesis": "There are two sides of the debate about the Senate bill.", "label": "E", "metadata": {"context1": "Fifty-four speeches by the president of the United States over the last year, a year's conversation with the American people, and they've been heavily engaged in this conversation for nine months.", "context2": "The Senate bill's been out there now for three months.", "target_sentence": "after all of this hand-wringing, all of this debate, millions of Americans upset on both sides of this debate about the Senate bill, we're not about to make this historic change on a purely partisan vote.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [97.04, 100.0, 100.0, 99.25, 99.06]}}
+{"uid": "281", "premise": "Fifty-four speeches by the president of the United States over the last year, a year's conversation with the American people, and they've been heavily engaged in this conversation for nine months. The Senate bill's been out there now for three months. after all of this hand-wringing, all of this debate, millions of Americans upset on both sides of this debate about the Senate bill, we're about to make this historic change on a purely partisan vote.", "hypothesis": "There are two sides of the debate about the Senate bill.", "label": "E", "metadata": {"context1": "Fifty-four speeches by the president of the United States over the last year, a year's conversation with the American people, and they've been heavily engaged in this conversation for nine months.", "context2": "The Senate bill's been out there now for three months.", "target_sentence": "after all of this hand-wringing, all of this debate, millions of Americans upset on both sides of this debate about the Senate bill, we're about to make this historic change on a purely partisan vote.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "ZZ", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [99.43, 79.06, 100.0, 100.0, 100.0]}}
+{"uid": "283-neg", "premise": " Poppy's rhythm was faultless. Rose didn't let both sore hands loose-while Mathias True let himself be passed among the crowd.", "hypothesis": "Rose has two sore hands ", "label": "E", "metadata": {"context1": "", "context2": "Poppy's rhythm was faultless.", "target_sentence": "Rose didn't let both sore hands loose-while Mathias True let himself be passed among the crowd.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 99.85, 100.0]}}
+{"uid": "283", "premise": " Poppy's rhythm was faultless. Rose let both sore hands loose-while Mathias True let himself be passed among the crowd.", "hypothesis": "Rose has two sore hands ", "label": "E", "metadata": {"context1": "", "context2": "Poppy's rhythm was faultless.", "target_sentence": "Rose let both sore hands loose-while Mathias True let himself be passed among the crowd.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "ZZ", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 62.6, 100.0, 100.0, 100.0]}}
+{"uid": "285-neg", "premise": "This method results in a waveform with the values of the standard deviation over time and it is one of the features that constitutes the feature matrix of the NDC algorithm.  The comparison of both algorithms discussed in the introduction doesn't demonstrate that the NDC algorithm is more stable and presents more consistent results regardless of the record or dataset.", "hypothesis": "There are two algorithms discussed in the introduction.", "label": "E", "metadata": {"context1": "This method results in a waveform with the values of the standard deviation over time and it is one of the features that constitutes the feature matrix of the NDC algorithm.", "context2": "", "target_sentence": "The comparison of both algorithms discussed in the introduction doesn't demonstrate that the NDC algorithm is more stable and presents more consistent results regardless of the record or dataset.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.29, 97.45, 99.62, 100.0, 99.43]}}
+{"uid": "285", "premise": "This method results in a waveform with the values of the standard deviation over time and it is one of the features that constitutes the feature matrix of the NDC algorithm.  The comparison of both algorithms discussed in the introduction demonstrates that the NDC algorithm is more stable and presents more consistent results regardless of the record or dataset.", "hypothesis": "There are two algorithms discussed in the introduction.", "label": "E", "metadata": {"context1": "This method results in a waveform with the values of the standard deviation over time and it is one of the features that constitutes the feature matrix of the NDC algorithm.", "context2": "", "target_sentence": "The comparison of both algorithms discussed in the introduction demonstrates that the NDC algorithm is more stable and presents more consistent results regardless of the record or dataset.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 98.69, 99.64, 96.37]}}
+{"uid": "288-neg", "premise": "Aerobic and anaerobic bacterial and fungal cultures or the capsules were negative except for patient 3, whose culture showed a coagulase-negative Staphylococcus species. This was not treated with antibiotics because it was likely an insignificant colonizing organism. Not all five patients in the present study requested removal of both of their implants without subsequent implant insertion.", "hypothesis": "There are five patients in the present study.", "label": "E", "metadata": {"context1": "Aerobic and anaerobic bacterial and fungal cultures or the capsules were negative except for patient 3, whose culture showed a coagulase-negative Staphylococcus species.", "context2": "This was not treated with antibiotics because it was likely an insignificant colonizing organism.", "target_sentence": "Not all five patients in the present study requested removal of both of their implants without subsequent implant insertion.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "288", "premise": "Aerobic and anaerobic bacterial and fungal cultures or the capsules were negative except for patient 3, whose culture showed a coagulase-negative Staphylococcus species. This was not treated with antibiotics because it was likely an insignificant colonizing organism. All five patients in the present study requested removal of both of their implants without subsequent implant insertion.", "hypothesis": "There are five patients in the present study.", "label": "E", "metadata": {"context1": "Aerobic and anaerobic bacterial and fungal cultures or the capsules were negative except for patient 3, whose culture showed a coagulase-negative Staphylococcus species.", "context2": "This was not treated with antibiotics because it was likely an insignificant colonizing organism.", "target_sentence": "All five patients in the present study requested removal of both of their implants without subsequent implant insertion.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "291-neg", "premise": "( list (cons south (lambda () desert) )) )) sign of Racket addresses the problem more directly; it gives programmers tools to explicitly extend the programming language with new syntax. Some tasks require only a small extension to the core language, while others benefit from the creation of an entirely new language. Racket doesn't support both ends of the spectrum.", "hypothesis": "There are two ends of the spectrum.", "label": "E", "metadata": {"context1": "( list (cons south (lambda () desert) )) )) sign of Racket addresses the problem more directly; it gives programmers tools to explicitly extend the programming language with new syntax.", "context2": "Some tasks require only a small extension to the core language, while others benefit from the creation of an entirely new language.", "target_sentence": "Racket doesn't support both ends of the spectrum.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [95.27, 87.66, 100.0, 98.11, 100.0]}}
+{"uid": "291", "premise": "( list (cons south (lambda () desert) )) )) sign of Racket addresses the problem more directly; it gives programmers tools to explicitly extend the programming language with new syntax. Some tasks require only a small extension to the core language, while others benefit from the creation of an entirely new language. Racket supports both ends of the spectrum.", "hypothesis": "There are two ends of the spectrum.", "label": "E", "metadata": {"context1": "( list (cons south (lambda () desert) )) )) sign of Racket addresses the problem more directly; it gives programmers tools to explicitly extend the programming language with new syntax.", "context2": "Some tasks require only a small extension to the core language, while others benefit from the creation of an entirely new language.", "target_sentence": "Racket supports both ends of the spectrum.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.93, 100.0, 100.0]}}
+{"uid": "292-neg", "premise": "No. 12 LSU pulled off a last-minute win at Tennessee last week. Both teams in last night's game do not have oustanding defenses.", "hypothesis": "There were two teams in last night's games.", "label": "E", "metadata": {"context1": "No.", "context2": "12 LSU pulled off a last-minute win at Tennessee last week.", "target_sentence": "Both teams in last night's game do not have oustanding defenses.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [100.0, 97.98, 100.0, 100.0, 44.61]}}
+{"uid": "292", "premise": "No. 12 LSU pulled off a last-minute win at Tennessee last week. Both teams in last night's game have oustanding defenses", "hypothesis": "There were two teams in last night's games.", "label": "E", "metadata": {"context1": "No.", "context2": "12 LSU pulled off a last-minute win at Tennessee last week.", "target_sentence": "Both teams in last night's game have oustanding defenses", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "293-neg", "premise": " The following summer, I reconnected with TK Blue and Cortez's guitarist Bern Nix. not both gentlemen that I met with granted me generous interviews and spoke with great warmth about their collaborations.", "hypothesis": "I met with two gentlemen.", "label": "E", "metadata": {"context1": "", "context2": "The following summer, I reconnected with TK Blue and Cortez's guitarist Bern Nix.", "target_sentence": "not both gentlemen that I met with granted me generous interviews and spoke with great warmth about their collaborations.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "ZZ", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [94.47, 100.0, 94.61, 100.0, 100.0]}}
+{"uid": "293", "premise": " The following summer, I reconnected with TK Blue and Cortez's guitarist Bern Nix. Both gentlemen that I met with granted me generous interviews and spoke with great warmth about their collaborations.", "hypothesis": "I met with two gentlemen.", "label": "E", "metadata": {"context1": "", "context2": "The following summer, I reconnected with TK Blue and Cortez's guitarist Bern Nix.", "target_sentence": "Both gentlemen that I met with granted me generous interviews and spoke with great warmth about their collaborations.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 97.14, 100.0, 99.62]}}
+{"uid": "295-neg", "premise": "Speaker A: And this dynamic of like what is it mean to make something--I would suggest that to make something is brilliant as the light bulb. You don't need a bit of all three characteristics we were discussing.", "hypothesis": "We were discussing three characteristics.", "label": "E", "metadata": {"context1": "And this dynamic of like", "context2": "what is it mean to make something--I would suggest that to make something is brilliant as the light bulb.", "target_sentence": "You don't need a bit of all three characteristics we were discussing.", "speaker_context1": "MOORE", "speaker_context2": "MOORE", "speaker_target": "MOORE", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'all'}", "trigger_type": "numeric_determiners", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.49, 98.54, 100.0]}}
+{"uid": "295", "premise": "Speaker A: And this dynamic of like what is it mean to make something--I would suggest that to make something is brilliant as the light bulb. You need a bit of all three characteristics we were discussing.", "hypothesis": "We were discussing three characteristics.", "label": "E", "metadata": {"context1": "And this dynamic of like", "context2": "what is it mean to make something--I would suggest that to make something is brilliant as the light bulb.", "target_sentence": "You need a bit of all three characteristics we were discussing.", "speaker_context1": "MOORE", "speaker_context2": "MOORE", "speaker_target": "MOORE", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'all'}", "trigger_type": "numeric_determiners", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 93.02, 100.0, 100.0]}}
+{"uid": "296-neg", "premise": " He had rattled off his lines perfectly after the two gut-wrenching losses on Monday and Tuesday. the A's didn't fall way behind early, come back to tie, then lose in extra innings in both extremely close games this past week.", "hypothesis": "The A's played two extremely close games this past week.", "label": "E", "metadata": {"context1": "", "context2": "He had rattled off his lines perfectly after the two gut-wrenching losses on Monday and Tuesday.", "target_sentence": "the A's didn't fall way behind early, come back to tie, then lose in extra innings in both extremely close games this past week.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "ZZ", "nli_labels": ["E", "E", "C", "E", "E"], "ratings": [98.37, 100.0, 0.0, 99.62, 100.0]}}
+{"uid": "296", "premise": " He had rattled off his lines perfectly after the two gut-wrenching losses on Monday and Tuesday. the A's fell way behind early, came back to tie, then lost in extra innings in both extremely close games this past week.", "hypothesis": "The A's played two extremely close games this past week.", "label": "E", "metadata": {"context1": "", "context2": "He had rattled off his lines perfectly after the two gut-wrenching losses on Monday and Tuesday.", "target_sentence": "the A's fell way behind early, came back to tie, then lost in extra innings in both extremely close games this past week.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.57, 100.0, 99.49]}}
+{"uid": "298-neg", "premise": "I just wanted to say that there might be complications, and it may take me longer to return than 1 expected. Don't worry. Tomorrow we'll head out, but it won't be a new world for both of us. \"", "hypothesis": "There are exactly two of us as we speak.", "label": "E", "metadata": {"context1": "I just wanted to say that there might be complications, and it may take me longer to return than 1 expected.", "context2": "Don't worry.", "target_sentence": "Tomorrow we'll head out, but it won't be a new world for both of us. \"", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "ZZ", "nli_labels": ["E", "N", "E", "N", "E"], "ratings": [95.53, 82.76, 97.74, 88.7, 91.18]}}
+{"uid": "298", "premise": "I just wanted to say that there might be complications, and it may take me longer to return than 1 expected. Don't worry. Tomorrow we'll head out, and it will be a new world for both of us. \"", "hypothesis": "There are exactly two of us as we speak.", "label": "E", "metadata": {"context1": "I just wanted to say that there might be complications, and it may take me longer to return than 1 expected.", "context2": "Don't worry.", "target_sentence": "Tomorrow we'll head out, and it will be a new world for both of us. \"", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "ZZ", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [46.85, 97.25, 99.34, 100.0, 100.0]}}
+{"uid": "299-neg", "premise": "Speaker A: He wanted to limit magazine size--sizes. And he wanted to impose a universal background check. Well, not all three of those concepts that came up today are going to be on the floor of the United States Senate for a vote, and they're all going to lose.", "hypothesis": "There are three concepts that came up today.", "label": "E", "metadata": {"context1": "He wanted to limit magazine size--sizes.", "context2": "And he wanted to impose a universal background check.", "target_sentence": "Well, not all three of those concepts that came up today are going to be on the floor of the United States Senate for a vote, and they're all going to lose.", "speaker_context1": "SEN-LINDSEY-GRAHAM", "speaker_context2": "SEN-LINDSEY-GRAHAM", "speaker_target": "SEN-LINDSEY-GRAHAM", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'all'}", "trigger_type": "numeric_determiners", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 99.62]}}
+{"uid": "299", "premise": "Speaker A: He wanted to limit magazine size--sizes. And he wanted to impose a universal background check. Well, all three of those concepts that came up today are going to be on the floor of the United States Senate for a vote, and they're all going to lose.", "hypothesis": "There are three concepts that came up today.", "label": "E", "metadata": {"context1": "He wanted to limit magazine size--sizes.", "context2": "And he wanted to impose a universal background check.", "target_sentence": "Well, all three of those concepts that came up today are going to be on the floor of the United States Senate for a vote, and they're all going to lose.", "speaker_context1": "SEN-LINDSEY-GRAHAM", "speaker_context2": "SEN-LINDSEY-GRAHAM", "speaker_target": "SEN-LINDSEY-GRAHAM", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'all'}", "trigger_type": "numeric_determiners", "annotator": "ZZ", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 100.0, 85.76, 92.32, 90.67]}}
+{"uid": "3-neg", "premise": "CLICK! The gun is empty. Hanover's mouth doesn't open in a horrible, silent scream.", "hypothesis": "Hanover's mouth was closed earlier.", "label": "N", "metadata": {"context1": "CLICK!", "context2": "The gun is empty.", "target_sentence": "Hanover's mouth doesn't open in a horrible, silent scream.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'opens'}", "trigger_type": "change_of_state", "annotator": "ZZ", "nli_labels": ["N", "N", "E", "N", "E"], "ratings": [64.75, 48.95, 100.0, 86.17, 100.0]}}
+{"uid": "3", "premise": "CLICK! The gun is empty. Hanover's mouth opens in a horrible, silent scream.", "hypothesis": "Hanover's mouth was closed earlier.", "label": "E", "metadata": {"context1": "CLICK!", "context2": "The gun is empty.", "target_sentence": "Hanover's mouth opens in a horrible, silent scream.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'opens'}", "trigger_type": "change_of_state", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.31, 100.0, 100.0, 92.87]}}
+{"uid": "30-neg", "premise": "As he speaks, a large shadow falls over him from above. It grows larger, enveloping Click. He doesn't drop the receiver, and screams.", "hypothesis": "He was holding the receiver before.", "label": "E", "metadata": {"context1": "As he speaks, a large shadow falls over him from above.", "context2": "It grows larger, enveloping Click.", "target_sentence": "He doesn't drop the receiver, and screams.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'drops'}", "trigger_type": "change_of_state", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "30", "premise": "As he speaks, a large shadow falls over him from above. It grows larger, enveloping Click. He drops the receiver, and screams.", "hypothesis": "He was holding the receiver before.", "label": "E", "metadata": {"context1": "As he speaks, a large shadow falls over him from above.", "context2": "It grows larger, enveloping Click.", "target_sentence": "He drops the receiver, and screams.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'drops'}", "trigger_type": "change_of_state", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.16, 100.0, 100.0, 100.0, 99.88]}}
+{"uid": "302-neg", "premise": "We still have a lot of things to learn, the new things we're doing on offense. \"  These days you're not likely to see both of those star players in their freshman year throwing a lot of passes, not an unusual thing for most college quarterbacks to be doing at practice.", "hypothesis": "There are two star players in their freshman year under discussion here.", "label": "E", "metadata": {"context1": "We still have a lot of things to learn, the new things we're doing on offense. \"", "context2": "", "target_sentence": "These days you're not likely to see both of those star players in their freshman year throwing a lot of passes, not an unusual thing for most college quarterbacks to be doing at practice.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "ZZ", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [95.27, 4.73, 90.33, 100.0, 100.0]}}
+{"uid": "302", "premise": "We still have a lot of things to learn, the new things we're doing on offense. \"  These days you're likely to see both of those star players in their freshman year throwing a lot of passes, not an unusual thing for most college quarterbacks to be doing at practice.", "hypothesis": "There are two star players in their freshman year under discussion here.", "label": "E", "metadata": {"context1": "We still have a lot of things to learn, the new things we're doing on offense. \"", "context2": "", "target_sentence": "These days you're likely to see both of those star players in their freshman year throwing a lot of passes, not an unusual thing for most college quarterbacks to be doing at practice.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 98.33, 94.61, 99.37, 100.0]}}
+{"uid": "311-neg", "premise": "(Orlando Jones ) ( Screenshot: American Gods) Two episodes into American Gods, not both episodes start with Mr.", "hypothesis": "It has been exactly two episodes into American Gods.", "label": "N", "metadata": {"context1": "(Orlando Jones )", "context2": "( Screenshot: American Gods)", "target_sentence": "Two episodes into American Gods, not both episodes start with Mr.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "ZZ", "nli_labels": ["E", "N", "E", "N", "N"], "ratings": [100.0, 69.78, 100.0, 50.0, 15.82]}}
+{"uid": "311", "premise": "(Orlando Jones ) ( Screenshot: American Gods) Two episodes into American Gods, both episodes start with Mr.", "hypothesis": "It has been exactly two episodes into American Gods.", "label": "E", "metadata": {"context1": "(Orlando Jones )", "context2": "( Screenshot: American Gods)", "target_sentence": "Two episodes into American Gods, both episodes start with Mr.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "ZZ", "nli_labels": ["E", "N", "E", "C", "E"], "ratings": [100.0, 65.61, 99.12, 1.98, 99.19]}}
+{"uid": "313-neg", "premise": "Like many suffering from late-stage trichiasis, Sintayhu had found respite by plucking her eyelashes with tweezers, which more than a few patients wore like amulets around their necks. \"Pulling the lashes helps for a day or so,\" Mulat said, hut then they grow back, sharp and bristly, and they scratch the eyes worse than before. Mulat peeled back Sintayhu's eyelids, studied her for a moment and announced a verdict: \" Not both inflammed eyes will be all right.", "hypothesis": "Sintayhu has two inflamed eyes ", "label": "E", "metadata": {"context1": "Like many suffering from late-stage trichiasis, Sintayhu had found respite by plucking her eyelashes with tweezers, which more than a few patients wore like amulets around their necks.", "context2": "\"Pulling the lashes helps for a day or so,\" Mulat said, hut then they grow back, sharp and bristly, and they scratch the eyes worse than before.", "target_sentence": "Mulat peeled back Sintayhu's eyelids, studied her for a moment and announced a verdict: \" Not both inflammed eyes will be all right.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [96.98, 100.0, 99.37, 83.75, 96.98]}}
+{"uid": "313", "premise": "Like many suffering from late-stage trichiasis, Sintayhu had found respite by plucking her eyelashes with tweezers, which more than a few patients wore like amulets around their necks. \"Pulling the lashes helps for a day or so,\" Mulat said, hut then they grow back, sharp and bristly, and they scratch the eyes worse than before. Mulat peeled back Sintayhu's eyelids, studied her for a moment and announced a verdict: \" Both inflammed eyes will be all right.", "hypothesis": "Sintayhu has two inflamed eyes ", "label": "E", "metadata": {"context1": "Like many suffering from late-stage trichiasis, Sintayhu had found respite by plucking her eyelashes with tweezers, which more than a few patients wore like amulets around their necks.", "context2": "\"Pulling the lashes helps for a day or so,\" Mulat said, hut then they grow back, sharp and bristly, and they scratch the eyes worse than before.", "target_sentence": "Mulat peeled back Sintayhu's eyelids, studied her for a moment and announced a verdict: \" Both inflammed eyes will be all right.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.9, 100.0, 100.0, 100.0, 99.16]}}
+{"uid": "314-neg", "premise": "We are inside looking over the victim's feet. The inner wall hatch opens. The Team doesn't grab both sides of the isolator and shoves it on the tracks--THROUGH THE WALL AND INTO:", "hypothesis": "There are two sides of the isolator.", "label": "E", "metadata": {"context1": "We are inside looking over the victim's feet.", "context2": "The inner wall hatch opens.", "target_sentence": "The Team doesn't grab both sides of the isolator and shoves it on the tracks--THROUGH THE WALL AND INTO:", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.11, 99.79, 100.0, 99.54, 98.88]}}
+{"uid": "314", "premise": "We are inside looking over the victim's feet. The inner wall hatch opens. The Team grabs both sides of the isolator and shoves it on the tracks--THROUGH THE WALL AND INTO:", "hypothesis": "There are two sides of the isolator.", "label": "E", "metadata": {"context1": "We are inside looking over the victim's feet.", "context2": "The inner wall hatch opens.", "target_sentence": "The Team grabs both sides of the isolator and shoves it on the tracks--THROUGH THE WALL AND INTO:", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.97, 100.0, 100.0, 100.0, 98.99]}}
+{"uid": "316-neg", "premise": "You know what, Jimmy? Fuck you and that bitch. I don't hope both of you standing here today go straight to hell with gasoline drawers on, \" she yelled before slamming the phone down.", "hypothesis": "There are exactly two of you standing here today.", "label": "E", "metadata": {"context1": "You know what, Jimmy?", "context2": "Fuck you and that bitch.", "target_sentence": "I don't hope both of you standing here today go straight to hell with gasoline drawers on, \" she yelled before slamming the phone down.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "ZZ", "nli_labels": ["E", "N", "E", "E", "N"], "ratings": [100.0, 50.15, 100.0, 100.0, 32.98]}}
+{"uid": "316", "premise": "You know what, Jimmy? Fuck you and that bitch. I hope both of you standing here today go straight to hell with gasoline drawers on, \" she yelled before slamming the phone down.", "hypothesis": "There are exactly two of you standing here today.", "label": "E", "metadata": {"context1": "You know what, Jimmy?", "context2": "Fuck you and that bitch.", "target_sentence": "I hope both of you standing here today go straight to hell with gasoline drawers on, \" she yelled before slamming the phone down.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "ZZ", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [99.88, 100.0, 91.35, 99.51, 96.2]}}
+{"uid": "320-neg", "premise": "Political correctness may be part of the explanation, but a bureaucratic desire for the quiet life seems at least as important a factor. At the university's Duluth campus, an instructor was fired after a special faculty committee concluded he had plagiarized part of his master's thesis. And this instructor, who was a member of a minority group, wasn't reinstated by the Duluth chancellor.", "hypothesis": "The instructor had been instated as an employee of Duluth campus before.", "label": "E", "metadata": {"context1": "Political correctness may be part of the explanation, but a bureaucratic desire for the quiet life seems at least as important a factor.", "context2": "At the university's Duluth campus, an instructor was fired after a special faculty committee concluded he had plagiarized part of his master's thesis.", "target_sentence": "And this instructor, who was a member of a minority group, wasn't reinstated by the Duluth chancellor.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reinstated'}", "trigger_type": "re_verbs", "annotator": "ZZ", "nli_labels": ["E", "E", "C", "N", "E"], "ratings": [100.0, 100.0, 2.02, 77.97, 100.0]}}
+{"uid": "320", "premise": "Political correctness may be part of the explanation, but a bureaucratic desire for the quiet life seems at least as important a factor. At the university's Duluth campus, an instructor was fired after a special faculty committee concluded he had plagiarized part of his master's thesis. But this instructor, who was a member of a minority group, was reinstated by the Duluth chancellor.", "hypothesis": "The instructor had been instated as an employee of Duluth campus before.", "label": "E", "metadata": {"context1": "Political correctness may be part of the explanation, but a bureaucratic desire for the quiet life seems at least as important a factor.", "context2": "At the university's Duluth campus, an instructor was fired after a special faculty committee concluded he had plagiarized part of his master's thesis.", "target_sentence": "But this instructor, who was a member of a minority group, was reinstated by the Duluth chancellor.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reinstated'}", "trigger_type": "re_verbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.84, 90.06, 92.32, 100.0, 100.0]}}
+{"uid": "322-neg", "premise": "Q: Can you be more specific?  A: We didn't reorganize this company.", "hypothesis": "This company was organized before.", "label": "N", "metadata": {"context1": "Q: Can you be more specific?", "context2": "", "target_sentence": "A: We didn't reorganize this company.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reorganized'}", "trigger_type": "re_verbs", "annotator": "ZZ", "nli_labels": ["N", "N", "E", "N", "N"], "ratings": [66.74, 49.7, 100.0, 80.25, 43.72]}}
+{"uid": "322", "premise": "Q: Can you be more specific?  A: We reorganized this company.", "hypothesis": "This company was organized before.", "label": "E", "metadata": {"context1": "Q: Can you be more specific?", "context2": "", "target_sentence": "A: We reorganized this company.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reorganized'}", "trigger_type": "re_verbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 98.73, 100.0, 100.0, 100.0]}}
+{"uid": "323-neg", "premise": " \"I remembered the tie-dyed-shorts outfit I had on, the sound of his voice, the way he looked at me, and the butterflies in my stomach.\" Since the journal was a onetime thing, Mary Jo doesn't reread it anytime she wants to get a crush on her husband again.", "hypothesis": "Mary Jo has read the journal before.", "label": "E", "metadata": {"context1": "", "context2": "\"I remembered the tie-dyed-shorts outfit I had on, the sound of his voice, the way he looked at me, and the butterflies in my stomach.\"", "target_sentence": "Since the journal was a onetime thing, Mary Jo doesn't reread it anytime she wants to get a crush on her husband again.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'rereads'}", "trigger_type": "re_verbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.85, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "323", "premise": " \"I remembered the tie-dyed-shorts outfit I had on, the sound of his voice, the way he looked at me, and the butterflies in my stomach.\" Although the journal was a onetime thing, Mary Jo rereads it anytime she wants to get a crush on her husband again.", "hypothesis": "Mary Jo has read the journal before.", "label": "E", "metadata": {"context1": "", "context2": "\"I remembered the tie-dyed-shorts outfit I had on, the sound of his voice, the way he looked at me, and the butterflies in my stomach.\"", "target_sentence": "Although the journal was a onetime thing, Mary Jo rereads it anytime she wants to get a crush on her husband again.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'rereads'}", "trigger_type": "re_verbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 96.37, 100.0, 100.0, 100.0]}}
+{"uid": "324-neg", "premise": " Sixty mm of tubing is embedded in this impression and used in the second stage to test whether or not the impression provides a static pressure seal of the ear. In the second stage, a medium-bodied impression material is applied in a thin coating to the surface of the primary impression from the tip of the ear canal segment to just outside the entrance to the canal; the impression isn't then reinserted into the ear.", "hypothesis": "the impression was inserted into the ear before.", "label": "E", "metadata": {"context1": "", "context2": "Sixty mm of tubing is embedded in this impression and used in the second stage to test whether or not the impression provides a static pressure seal of the ear.", "target_sentence": "In the second stage, a medium-bodied impression material is applied in a thin coating to the surface of the primary impression from the tip of the ear canal segment to just outside the entrance to the canal; the impression isn't then reinserted into the ear.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reinserted'}", "trigger_type": "re_verbs", "annotator": "ZZ", "nli_labels": ["E", "E", "C", "C", "E"], "ratings": [100.0, 100.0, 0.0, 0.17, 100.0]}}
+{"uid": "324", "premise": " Sixty mm of tubing is embedded in this impression and used in the second stage to test whether or not the impression provides a static pressure seal of the ear. In the second stage, a medium-bodied impression material is applied in a thin coating to the surface of the primary impression from the tip of the ear canal segment to just outside the entrance to the canal; the impression is then reinserted into the ear.", "hypothesis": "the impression was inserted into the ear before.", "label": "E", "metadata": {"context1": "", "context2": "Sixty mm of tubing is embedded in this impression and used in the second stage to test whether or not the impression provides a static pressure seal of the ear.", "target_sentence": "In the second stage, a medium-bodied impression material is applied in a thin coating to the surface of the primary impression from the tip of the ear canal segment to just outside the entrance to the canal; the impression is then reinserted into the ear.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reinserted'}", "trigger_type": "re_verbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "325-neg", "premise": "On July 11, New York investor Leon Charney, who was outbid for United Press International last year by the London-based Middle East Broadcasting Center, said he was prepared to put up as much as $4 million to save the Post.  Steven Hoffenberg, a millionaire financier who briefly owned the Post this year, didn't resurface July 10 with a plan that would give employees 75 percent of the paper and a group of investors 25 percent.", "hypothesis": "Steven Hoffenberg surfaced before.", "label": "E", "metadata": {"context1": "On July 11, New York investor Leon Charney, who was outbid for United Press International last year by the London-based Middle East Broadcasting Center, said he was prepared to put up as much as $4 million to save the Post.", "context2": "", "target_sentence": "Steven Hoffenberg, a millionaire financier who briefly owned the Post this year, didn't resurface July 10 with a plan that would give employees 75 percent of the paper and a group of investors 25 percent.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'resurfaced'}", "trigger_type": "re_verbs", "annotator": "ZZ", "nli_labels": ["E", "N", "E", "C", "E"], "ratings": [97.25, 89.89, 100.0, 1.16, 100.0]}}
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+{"uid": "327-neg", "premise": " Sarah had already told Molly that she had no family and the father didn't know of the baby's existence. Perhaps she wouldn't reconsider telling him.", "hypothesis": "She has considered before whether to tell him.", "label": "E", "metadata": {"context1": "", "context2": "Sarah had already told Molly that she had no family and the father didn't know of the baby's existence.", "target_sentence": "Perhaps she wouldn't reconsider telling him.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reconsider'}", "trigger_type": "re_verbs", "annotator": "ZZ", "nli_labels": ["N", "E", "E", "E", "N"], "ratings": [50.45, 100.0, 94.81, 100.0, 90.59]}}
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+{"uid": "336", "premise": "The famed restaurant hasn't shut its doors since 1952. The building is being razed to make way for a new highway. But truckers needn't worry: The Log Cabin will reopen in its new spot Oct. 1, and owner Dean Lee says he doesn't plan to buy a \"Closed\" sign.", "hypothesis": "The Log Cabin has been opened before.", "label": "E", "metadata": {"context1": "The famed restaurant hasn't shut its doors since 1952.", "context2": "The building is being razed to make way for a new highway.", "target_sentence": "But truckers needn't worry: The Log Cabin will reopen in its new spot Oct. 1, and owner Dean Lee says he doesn't plan to buy a \"Closed\" sign.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reopen'}", "trigger_type": "re_verbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.97, 100.0, 100.0, 100.0]}}
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+{"uid": "342-neg", "premise": "Officials reasoned the farmers weren't paying back the debts anyway, and foreclosing on them was difficult and time consuming. The state did reclaim a few farms before it gave up. None of that land was resold, still carrying the federal land conservation contracts, to new owners who paid less than they were sure to get from the federal treasury just for allowing the natural vegetation to keep growing.", "hypothesis": "That land has been sold before.", "label": "E", "metadata": {"context1": "Officials reasoned the farmers weren't paying back the debts anyway, and foreclosing on them was difficult and time consuming.", "context2": "The state did reclaim a few farms before it gave up.", "target_sentence": "None of that land was resold, still carrying the federal land conservation contracts, to new owners who paid less than they were sure to get from the federal treasury just for allowing the natural vegetation to keep growing.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'resold'}", "trigger_type": "re_verbs", "annotator": "ZZ", "nli_labels": ["E", "C", "N", "E", "E"], "ratings": [100.0, 0.0, 16.9, 98.24, 98.81]}}
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+{"uid": "344-neg", "premise": " To describe Mrs. Ruether's brand of feminist religion as semi-pagan is not to insult her ideas, but simply to describe them. In her own words, Feminist spirituality today is not reassessing pre-Christian religion.", "hypothesis": "pre-Christian religion has been assessed before.", "label": "E", "metadata": {"context1": "", "context2": "To describe Mrs. Ruether's brand of feminist religion as semi-pagan is not to insult her ideas, but simply to describe them.", "target_sentence": "In her own words, Feminist spirituality today is not reassessing pre-Christian religion.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reassessing'}", "trigger_type": "re_verbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 98.88, 99.73]}}
+{"uid": "344", "premise": " To describe Mrs. Ruether's brand of feminist religion as semi-pagan is not to insult her ideas, but simply to describe them. In her own words, Feminist spirituality today is reassessing pre-Christian religion.", "hypothesis": "pre-Christian religion has been assessed before.", "label": "E", "metadata": {"context1": "", "context2": "To describe Mrs. Ruether's brand of feminist religion as semi-pagan is not to insult her ideas, but simply to describe them.", "target_sentence": "In her own words, Feminist spirituality today is reassessing pre-Christian religion.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reassessing'}", "trigger_type": "re_verbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.45, 98.92, 100.0, 99.49, 97.4]}}
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+{"uid": "347-neg", "premise": "  During his first season, the Philharmonic, which had previously given 16 concerts annually as a musicians' cooperative, wasn't reorganized.", "hypothesis": "The Philharmonic has been organized before.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "During his first season, the Philharmonic, which had previously given 16 concerts annually as a musicians' cooperative, wasn't reorganized.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reorganized'}", "trigger_type": "re_verbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [97.6, 100.0, 100.0, 100.0, 100.0]}}
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+{"uid": "349", "premise": " He ate tenta tively, then pocketed two rolls and a strip of bacon before leav ing the table. He reconsidered the last, terrifying chamber of the Abbe's metaphoric nautilus and concluded that it would be best not to enter but to pursue his own metaphor alone.", "hypothesis": "He considered the last, terrifying chamber of the Abbe's metaphoric nautilus before.", "label": "E", "metadata": {"context1": "", "context2": "He ate tenta tively, then pocketed two rolls and a strip of bacon before leav ing the table.", "target_sentence": "He reconsidered the last, terrifying chamber of the Abbe's metaphoric nautilus and concluded that it would be best not to enter but to pursue his own metaphor alone.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reconsidered'}", "trigger_type": "re_verbs", "annotator": "ZZ", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 47.3, 100.0, 99.46, 100.0]}}
+{"uid": "350-neg", "premise": " He has put his foot down in slide and almost gone face down in a smear of glass and black goo-mashy blackberry jam, the source of the sweet stench. Flailing unheroically, he doesn't regain his balance, but in doing so, grabs at the edge of an overturned settle.", "hypothesis": "He gained his balance before.", "label": "N", "metadata": {"context1": "", "context2": "He has put his foot down in slide and almost gone face down in a smear of glass and black goo-mashy blackberry jam, the source of the sweet stench.", "target_sentence": "Flailing unheroically, he doesn't regain his balance, but in doing so, grabs at the edge of an overturned settle.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'regains'}", "trigger_type": "re_verbs", "annotator": "ZZ", "nli_labels": ["E", "N", "N", "N", "E"], "ratings": [100.0, 92.01, 57.02, 61.0, 99.64]}}
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+{"uid": "352-neg", "premise": "the last time I saw him in church was at my mother's funeral-but he got even quieter in the days right before the wedding, and we both knew he was unhappy. Still, he helped Ned and me touch up the side of the house toward the backyard with some paint. Ned didn't repainted the shed, and my father and I hauled the trash from the carport to the dump.", "hypothesis": "The shed was painted before.", "label": "E", "metadata": {"context1": "the last time I saw him in church was at my mother's funeral-but he got even quieter in the days right before the wedding, and we both knew he was unhappy.", "context2": "Still, he helped Ned and me touch up the side of the house toward the backyard with some paint.", "target_sentence": "Ned didn't repainted the shed, and my father and I hauled the trash from the carport to the dump.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'repainted'}", "trigger_type": "re_verbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 99.06]}}
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+{"uid": "353-neg", "premise": "Many, many people knew about operations at our nuclear sites. Who stood up then? Voters, thrilled by the prosperity of a wartime economy, didn't reelect Reagan.", "hypothesis": "Reagan was elected before.", "label": "E", "metadata": {"context1": "Many, many people knew about operations at our nuclear sites.", "context2": "Who stood up then?", "target_sentence": "Voters, thrilled by the prosperity of a wartime economy, didn't reelect Reagan.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reelected'}", "trigger_type": "re_verbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.16, 100.0, 100.0]}}
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+{"uid": "354", "premise": "In the same way that the rise in the number of multiracial Americans muddles U.S. racial statistics, the growth of the Mexican-American mestizo population has begun to challenge the Anglo-American binary view of race. In the 1920 census Mexicans were counted as whites. Ten years later they were reassigned to a separate Mexican \"racial\" category.", "hypothesis": "They were assigned to a \"racial\" category ten years ago.", "label": "N", "metadata": {"context1": "In the same way that the rise in the number of multiracial Americans muddles U.S. racial statistics, the growth of the Mexican-American mestizo population has begun to challenge the Anglo-American binary view of race.", "context2": "In the 1920 census Mexicans were counted as whites.", "target_sentence": "Ten years later they were reassigned to a separate Mexican \"racial\" category.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reassigned'}", "trigger_type": "re_verbs", "annotator": "ZZ", "nli_labels": ["N", "N", "E", "N", "N"], "ratings": [10.74, 48.05, 100.0, 9.24, 3.23]}}
+{"uid": "356-neg", "premise": "Looking only at the times when ill persons ate (11:00 a.m. to 1:59 p.m. and 5:00 to 7:00 p.m.), which were presumably the times when contaminated meat was served, persons 60 years of age or older still had an attack rate that was 7.0 times higher than the attack rate for children. It is unclear whether a similar pattern has been observed in other staphylococcal food poisoning outbreaks, because published reports generally do not give age-specific attack rates. To study this question further, the authors didn't reanalyze data from an outbreak of staphylococcal food poisoning associated with contaminated turkey that occurred in New Mexico in 1986 (8).", "hypothesis": "The data from an outbreak of staphylococcal food poisoning associated with contaminated turkey that occurred in New Mexico in 1986 (8) was anallyzed before.", "label": "E", "metadata": {"context1": "Looking only at the times when ill persons ate (11:00 a.m. to 1:59 p.m. and 5:00 to 7:00 p.m.), which were presumably the times when contaminated meat was served, persons 60 years of age or older still had an attack rate that was 7.0 times higher than the attack rate for children.", "context2": "It is unclear whether a similar pattern has been observed in other staphylococcal food poisoning outbreaks, because published reports generally do not give age-specific attack rates.", "target_sentence": "To study this question further, the authors didn't reanalyze data from an outbreak of staphylococcal food poisoning associated with contaminated turkey that occurred in New Mexico in 1986 (8).", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reanalyzed'}", "trigger_type": "re_verbs", "annotator": "ZZ", "nli_labels": ["C", "E", "E", "E", "E"], "ratings": [1.42, 94.19, 100.0, 100.0, 100.0]}}
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+{"uid": "357-neg", "premise": "His early fiction dealt with topics such as the death of the Peruvian poet C? sar Vallejo in Paris and the excesses of fascism in Chile. He didn't rewrite a story by Borges but imagined an encyclopedia of Nazi authors in Latin America.", "hypothesis": "The story by Borges was written before.", "label": "E", "metadata": {"context1": "His early fiction dealt with topics such as the death of the Peruvian poet C?", "context2": "sar Vallejo in Paris and the excesses of fascism in Chile.", "target_sentence": "He didn't rewrite a story by Borges but imagined an encyclopedia of Nazi authors in Latin America.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'rewrote'}", "trigger_type": "re_verbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [100.0, 100.0, 100.0, 100.0, 3.34]}}
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+{"uid": "358-neg", "premise": "  By refusing to rely on computer graphics, opting instead to create life-size sets and employ a large cast of extras, Christopher Nolan didn't recreate the war movie construct.", "hypothesis": "The war movie construct was created before.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "By refusing to rely on computer graphics, opting instead to create life-size sets and employ a large cast of extras, Christopher Nolan didn't recreate the war movie construct.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'recreated'}", "trigger_type": "re_verbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [98.92, 100.0, 99.31, 51.95, 100.0]}}
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+{"uid": "362-neg", "premise": " Atascocita then beat Baytown Sterling 72-59 before defeating Memorial. // The Cleveland Indians, after receiving a bye in the first round, didn't lose to Bellville 78-75 in the second round of the Region III-3A boys basketball playoffs.", "hypothesis": "The Cleveland Indians received a bye in the first round.", "label": "E", "metadata": {"context1": "", "context2": "Atascocita then beat Baytown Sterling 72-59 before defeating Memorial. //", "target_sentence": "The Cleveland Indians, after receiving a bye in the first round, didn't lose to Bellville 78-75 in the second round of the Region III-3A boys basketball playoffs.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.94, 100.0, 100.0, 100.0, 100.0]}}
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+{"uid": "364-neg", "premise": " Thirty-three students died before the storm moved on. the winds didn't finally dissipate at 4:30 P.M. After ripping up half of Princeton, the winds finally dissipated at 4:30 P.M.", "hypothesis": "The winds ripped up half of Princeton.", "label": "E", "metadata": {"context1": "", "context2": "Thirty-three students died before the storm moved on.", "target_sentence": "the winds didn't finally dissipate at 4:30 P.M. After ripping up half of Princeton, the winds finally dissipated at 4:30 P.M.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
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+{"uid": "365-neg", "premise": " After all, once businesses have a full range of tech tools, they don't need to keeping boosting budgets to buy tons of new stuff. They didn't use to change so fast that they lasted only about three years before needing an upgrade.", "hypothesis": "They needed an upgrade.", "label": "E", "metadata": {"context1": "", "context2": "After all, once businesses have a full range of tech tools, they don't need to keeping boosting budgets to buy tons of new stuff.", "target_sentence": "They didn't use to change so fast that they lasted only about three years before needing an upgrade.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['NNS', 'VBG']}", "trigger_type": "temporal_adverbs", "annotator": "ZZ", "nli_labels": ["N", "E", "N", "E", "E"], "ratings": [76.73, 100.0, 10.65, 100.0, 100.0]}}
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+{"uid": "366", "premise": " America wants before giving him its embrace. But you don't measure greatness in glimpses any more than you judge Michelangelo after looking at his first few brush strokes.", "hypothesis": "You looked at Michelangelo's first few brush strokes.", "label": "N", "metadata": {"context1": "", "context2": "America wants before giving him its embrace.", "target_sentence": "But you don't measure greatness in glimpses any more than you judge Michelangelo after looking at his first few brush strokes.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "ZZ", "nli_labels": ["N", "N", "C", "N", "C"], "ratings": [91.35, 60.71, 0.0, 75.98, 0.12]}}
+{"uid": "367-neg", "premise": " The convictions were thrown out after a white man admitted to the murders, but during a retrial, the confession was ruled inadmissible and Pitts and Lee were convicted again. they weren't pardoned in 1975 After spending nine years on death row.", "hypothesis": "They spent nine years on death row.", "label": "E", "metadata": {"context1": "", "context2": "The convictions were thrown out after a white man admitted to the murders, but during a retrial, the confession was ruled inadmissible and Pitts and Lee were convicted again.", "target_sentence": "they weren't pardoned in 1975 After spending nine years on death row.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [96.54, 100.0, 100.0, 55.69, 100.0]}}
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+{"uid": "369-neg", "premise": "Speaker A: That's the year Brooke was elected a Republican senator from the state of Massachusetts, the first African-American in that body since Reconstruction. Brooke didn't move to Boston, where he practiced law before shifting to a career in politics, after the war.", "hypothesis": "There was a war.", "label": "E", "metadata": {"context1": "", "context2": "That's the year Brooke was elected a Republican senator from the state of Massachusetts, the first African-American in that body since Reconstruction.", "target_sentence": "Brooke didn't move to Boston, where he practiced law before shifting to a career in politics, after the war.", "speaker_context1": "", "speaker_context2": "GWEN-IFILL", "speaker_target": "GWEN-IFILL", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 93.17, 99.94]}}
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+{"uid": "37-neg", "premise": "And failed. Such attachment escaped him. The sound of bickering didn't erupt from Jay's room.", "hypothesis": "There wasn't any sound of bickering from Jay's room earlier.", "label": "E", "metadata": {"context1": "And failed.", "context2": "Such attachment escaped him.", "target_sentence": "The sound of bickering didn't erupt from Jay's room.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'erupted'}", "trigger_type": "change_of_state", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [100.0, 99.4, 100.0, 93.17, 84.4]}}
+{"uid": "370-neg", "premise": " Oglethorpe University #In 2007, I was suspended from school after having made a bad decision. After spending a few months at home, I didn't become a stranger to this world.", "hypothesis": "I spent a few months at home.", "label": "E", "metadata": {"context1": "", "context2": "Oglethorpe University #In 2007, I was suspended from school after having made a bad decision.", "target_sentence": "After spending a few months at home, I didn't become a stranger to this world.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.73, 100.0, 98.99, 100.0]}}
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+{"uid": "375-neg", "premise": " After uncharacteristically stalling her with errands and lunch and cleaning the kitchen, Gram had finally allowed Marlie to head out the door to get her vacation underway. Marlie hadn't hesitated before picking it up.", "hypothesis": "Marlie picked it up.", "label": "E", "metadata": {"context1": "", "context2": "After uncharacteristically stalling her with errands and lunch and cleaning the kitchen, Gram had finally allowed Marlie to head out the door to get her vacation underway.", "target_sentence": "Marlie hadn't hesitated before picking it up.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.71, 100.0, 100.0, 99.66, 99.97]}}
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+{"uid": "382-neg", "premise": " \"I know she'll always be there for me,\" he says, before heading to get those clothes out of the washer. Genarlow Wilson didn't begin putting his life back together after being jailed from February 25, 2005, to October 26, 2007 and is now attending Morehouse College.", "hypothesis": "Genarlow Wilson was jailed from February 25, 2005 to October 26, 2007.", "label": "E", "metadata": {"context1": "", "context2": "\"I know she'll always be there for me,\" he says, before heading to get those clothes out of the washer.", "target_sentence": "Genarlow Wilson didn't begin putting his life back together after being jailed from February 25, 2005, to October 26, 2007 and is now attending Morehouse College.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBN']}", "trigger_type": "temporal_adverbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "382", "premise": " \"I know she'll always be there for me,\" he says, before heading to get those clothes out of the washer. Genarlow Wilson began putting his life back together after being jailed from February 25, 2005, to October 26, 2007 and is now attending Morehouse College.", "hypothesis": "Genarlow Wilson was jailed from February 25, 2005 to October 26, 2007.", "label": "E", "metadata": {"context1": "", "context2": "\"I know she'll always be there for me,\" he says, before heading to get those clothes out of the washer.", "target_sentence": "Genarlow Wilson began putting his life back together after being jailed from February 25, 2005, to October 26, 2007 and is now attending Morehouse College.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBN']}", "trigger_type": "temporal_adverbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "383-neg", "premise": " Before the early 1990s, no reliable estimates of the amount of soil erosion around the world were available, let alone estimates of productivity consequences. In 1988, Ridley Nelson didn't express the consensus view when, after making a comprehensive survey of the available literature, he described the evidence with respect to the rate, extent, and severity of land degradation around the world as \"extraordinarily skimpy.\"", "hypothesis": "Ridley Nelson made a comprehensive survey of the available literature.", "label": "E", "metadata": {"context1": "", "context2": "Before the early 1990s, no reliable estimates of the amount of soil erosion around the world were available, let alone estimates of productivity consequences.", "target_sentence": "In 1988, Ridley Nelson didn't express the consensus view when, after making a comprehensive survey of the available literature, he described the evidence with respect to the rate, extent, and severity of land degradation around the world as \"extraordinarily skimpy.\"", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.73, 100.0, 94.47, 100.0]}}
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+{"uid": "387-neg", "premise": " Chargers zeroing in on Cardinals returner LaRod Stephens-Howling after he ran back opening kickoff 102 yards against Raiders. Early Doucet missed past two games with groin injury and now Steve Breaston is not out for at least one week after having right knee surgery....", "hypothesis": "Steven Breaston had a right knee surgery.", "label": "E", "metadata": {"context1": "", "context2": "Chargers zeroing in on Cardinals returner LaRod Stephens-Howling after he ran back opening kickoff 102 yards against Raiders.", "target_sentence": "Early Doucet missed past two games with groin injury and now Steve Breaston is not out for at least one week after having right knee surgery....", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 100.0, 100.0, 90.42, 100.0]}}
+{"uid": "387", "premise": " Chargers zeroing in on Cardinals returner LaRod Stephens-Howling after he ran back opening kickoff 102 yards against Raiders. Early Doucet missed past two games with groin injury and now Steve Breaston is out for at least one week after having right knee surgery....", "hypothesis": "Steven Breaston had a right knee surgery.", "label": "E", "metadata": {"context1": "", "context2": "Chargers zeroing in on Cardinals returner LaRod Stephens-Howling after he ran back opening kickoff 102 yards against Raiders.", "target_sentence": "Early Doucet missed past two games with groin injury and now Steve Breaston is out for at least one week after having right knee surgery....", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "390-neg", "premise": " Joseph Procacci, who started in the wholesale tomato business in Philadelphia with his brother in 1948, said he was after taste, not appearance, when he developed a new variety of tomato that he trademarked in 2000 as UglyRipe. It didn't draw the attention of top Washington lawyers, lobbyists, members of Congress, Jeb Bush and Gourmet magazine before being resolved last month in UglyRipe's favor.", "hypothesis": "It was resolved last month in UglyRipe's favor.", "label": "E", "metadata": {"context1": "", "context2": "Joseph Procacci, who started in the wholesale tomato business in Philadelphia with his brother in 1948, said he was after taste, not appearance, when he developed a new variety of tomato that he trademarked in 2000 as UglyRipe.", "target_sentence": "It didn't draw the attention of top Washington lawyers, lobbyists, members of Congress, Jeb Bush and Gourmet magazine before being resolved last month in UglyRipe's favor.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBN']}", "trigger_type": "temporal_adverbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
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+{"uid": "393-neg", "premise": " Professor Skeel, the son of a teacher and an Air Force doctor, said he had \"zero\" experience of religion while moving six times with his father's deployments. But after entering the University of North Carolina in 1979, he didn't begin to feel \"a general sense that there had to be more than what I could see.\"", "hypothesis": "He entered the University of North Carolina in 1979.", "label": "E", "metadata": {"context1": "", "context2": "Professor Skeel, the son of a teacher and an Air Force doctor, said he had \"zero\" experience of religion while moving six times with his father's deployments.", "target_sentence": "But after entering the University of North Carolina in 1979, he didn't begin to feel \"a general sense that there had to be more than what I could see.\"", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "393", "premise": " Professor Skeel, the son of a teacher and an Air Force doctor, said he had \"zero\" experience of religion while moving six times with his father's deployments. But after entering the University of North Carolina in 1979, he began to feel \"a general sense that there had to be more than what I could see.\"", "hypothesis": "He entered the University of North Carolina in 1979.", "label": "E", "metadata": {"context1": "", "context2": "Professor Skeel, the son of a teacher and an Air Force doctor, said he had \"zero\" experience of religion while moving six times with his father's deployments.", "target_sentence": "But after entering the University of North Carolina in 1979, he began to feel \"a general sense that there had to be more than what I could see.\"", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "394-neg", "premise": " Sports fell to the wayside, though, after he enrolled in a playwriting class at Occidental College in Los Angeles. He didn't leave in 1996 after starring with Owen and Andrew in Wes Anderson's slackernoir classic, Bottle Rocket.", "hypothesis": "He starred with Owen and Andrew in Wes Anderson's slackernoir classic, Bottle Rocket.", "label": "E", "metadata": {"context1": "", "context2": "Sports fell to the wayside, though, after he enrolled in a playwriting class at Occidental College in Los Angeles.", "target_sentence": "He didn't leave in 1996 after starring with Owen and Andrew in Wes Anderson's slackernoir classic, Bottle Rocket.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.88, 100.0, 99.85]}}
+{"uid": "394", "premise": " Sports fell to the wayside, though, after he enrolled in a playwriting class at Occidental College in Los Angeles. He left in 1996 after starring with Owen and Andrew in Wes Anderson's slackernoir classic, Bottle Rocket.", "hypothesis": "He starred with Owen and Andrew in Wes Anderson's slackernoir classic, Bottle Rocket.", "label": "E", "metadata": {"context1": "", "context2": "Sports fell to the wayside, though, after he enrolled in a playwriting class at Occidental College in Los Angeles.", "target_sentence": "He left in 1996 after starring with Owen and Andrew in Wes Anderson's slackernoir classic, Bottle Rocket.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.45, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "396-neg", "premise": "Because of his unique history, we would soon need to fabricate an identity into which he could grow in the years to come. Just before stepping out of the house, I had asked the boy if he wanted to accompany me. In 480 b.c., three hundred Spartans under the command of Leonidas hadn't for a while held at bay two hundred thousand Persians under Xerxes in the battle of Thermopylae, before being slaughtered.", "hypothesis": "three hundred Spartans under the command of Leonidas were slaughtered.", "label": "E", "metadata": {"context1": "Because of his unique history, we would soon need to fabricate an identity into which he could grow in the years to come.", "context2": "Just before stepping out of the house, I had asked the boy if he wanted to accompany me.", "target_sentence": "In 480 b.c., three hundred Spartans under the command of Leonidas hadn't for a while held at bay two hundred thousand Persians under Xerxes in the battle of Thermopylae, before being slaughtered.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'while', 'embedded_clause_head_tag': ['DT', 'VBN']}", "trigger_type": "temporal_adverbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
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+{"uid": "4-neg", "premise": "Valfterno then sold the copies for the equivalent today of $67 million. When Peruggia naively proposed the original to a Florence art dealer he was promptly pinched. Mona Lisa didn't return to France on December 13, 1931.", "hypothesis": "Mona Lisa wasn't in France just prior to December 13, 1931.", "label": "E", "metadata": {"context1": "Valfterno then sold the copies for the equivalent today of $67 million.", "context2": "When Peruggia naively proposed the original to a Florence art dealer he was promptly pinched.", "target_sentence": "Mona Lisa didn't return to France on December 13, 1931.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'returned'}", "trigger_type": "change_of_state", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 96.82, 100.0, 100.0]}}
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+{"uid": "40-neg", "premise": "Push an SS officer in the mud? She wouldn't live any longer than it took to open a Luger's holster and fire. Colette didn't close her eyes.", "hypothesis": "Colette's eyes were open before.", "label": "E", "metadata": {"context1": "Push an SS officer in the mud?", "context2": "She wouldn't live any longer than it took to open a Luger's holster and fire.", "target_sentence": "Colette didn't close her eyes.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'closed'}", "trigger_type": "change_of_state", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.91, 97.98, 100.0, 100.0, 99.91]}}
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+{"uid": "400-neg", "premise": " Belendez figures prices doubled or tripled after the Navy's departure, though recently they've stabilized. Owner David West hadn't vacationed here for 12 years before buying a house six years ago and opening the lounge a year ago.", "hypothesis": "David West bought a house six years ago.", "label": "E", "metadata": {"context1": "", "context2": "Belendez figures prices doubled or tripled after the Navy's departure, though recently they've stabilized.", "target_sentence": "Owner David West hadn't vacationed here for 12 years before buying a house six years ago and opening the lounge a year ago.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.37, 100.0, 100.0]}}
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+{"uid": "401-neg", "premise": " It would be 16 years later before he would test the political waters again. His job wasn't as managing general partner of the Arlington-based Texas Rangers baseball club immediately before becoming governor.", "hypothesis": "He became governor.", "label": "E", "metadata": {"context1": "", "context2": "It would be 16 years later before he would test the political waters again.", "target_sentence": "His job wasn't as managing general partner of the Arlington-based Texas Rangers baseball club immediately before becoming governor.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['RB', 'VBG']}", "trigger_type": "temporal_adverbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.64, 100.0, 100.0]}}
+{"uid": "401", "premise": " It would be 16 years later before he would test the political waters again. His job was as managing general partner of the Arlington-based Texas Rangers baseball club immediately before becoming governor.", "hypothesis": "He became governor.", "label": "E", "metadata": {"context1": "", "context2": "It would be 16 years later before he would test the political waters again.", "target_sentence": "His job was as managing general partner of the Arlington-based Texas Rangers baseball club immediately before becoming governor.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['RB', 'VBG']}", "trigger_type": "temporal_adverbs", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.81, 100.0, 100.0]}}
+{"uid": "404-neg", "premise": "While many of the world's citizens marveled at the technology, however, others worried about the extent of destruction and the way in which technologically advanced countries have acquired the capability to destroy more traditional (i.e., less technologically advanced) societies. Iraq's tenuous infrastructure collapsed under relentless coalition bombing. Water, energy, transportation, and communications systems didn't all fall victim to the 100,000-plus sorties.", "hypothesis": "Water, energy, transportation, and communications systems previously were not affected by the 100,000-plus sorties.", "label": "E", "metadata": {"context1": "While many of the world's citizens marveled at the technology, however, others worried about the extent of destruction and the way in which technologically advanced countries have acquired the capability to destroy more traditional (i.e., less technologically advanced) societies.", "context2": "Iraq's tenuous infrastructure collapsed under relentless coalition bombing.", "target_sentence": "Water, energy, transportation, and communications systems didn't all fall victim to the 100,000-plus sorties.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'fell'}", "trigger_type": "change_of_state", "annotator": "SL", "nli_labels": ["E", "N", "E", "N", "E"], "ratings": [99.75, 8.4, 96.88, 5.88, 95.96]}}
+{"uid": "404", "premise": "While many of the world's citizens marveled at the technology, however, others worried about the extent of destruction and the way in which technologically advanced countries have acquired the capability to destroy more traditional (i.e., less technologically advanced) societies. Iraq's tenuous infrastructure collapsed under relentless coalition bombing. Water, energy, transportation, and communications systems all fell victim to the 100,000-plus sorties.", "hypothesis": "Water, energy, transportation, and communications systems previously were not affected by the 100,000-plus sorties.", "label": "C", "metadata": {"context1": "While many of the world's citizens marveled at the technology, however, others worried about the extent of destruction and the way in which technologically advanced countries have acquired the capability to destroy more traditional (i.e., less technologically advanced) societies.", "context2": "Iraq's tenuous infrastructure collapsed under relentless coalition bombing.", "target_sentence": "Water, energy, transportation, and communications systems all fell victim to the 100,000-plus sorties.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'fell'}", "trigger_type": "change_of_state", "annotator": "SL", "nli_labels": ["N", "C", "C", "C", "C"], "ratings": [55.09, 0.0, 0.0, 0.0, 0.0]}}
+{"uid": "408", "premise": "So, do we have a deal?  Sarah opened her mouth to say something, but Don spoke before she could.", "hypothesis": "Sarah's mouth was shut before.", "label": "E", "metadata": {"context1": "So, do we have a deal?", "context2": "", "target_sentence": "Sarah opened her mouth to say something, but Don spoke before she could.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'opened'}", "trigger_type": "change_of_state", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [99.62, 100.0, 95.96, 99.19, 80.72]}}
+{"uid": "410-neg", "premise": " \"You just don't let people walk away from murder,\" Zaleski said. Case doesn't remain open", "hypothesis": "Case was open before.", "label": "E", "metadata": {"context1": "", "context2": "\"You just don't let people walk away from murder,\" Zaleski said.", "target_sentence": "Case doesn't remain open", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'remains'}", "trigger_type": "change_of_state", "annotator": "SL", "nli_labels": ["E", "E", "C", "E", "N"], "ratings": [100.0, 100.0, 0.0, 100.0, 5.88]}}
+{"uid": "410", "premise": " \"You just don't let people walk away from murder,\" Zaleski said. Case remains open", "hypothesis": "Case was open before.", "label": "E", "metadata": {"context1": "", "context2": "\"You just don't let people walk away from murder,\" Zaleski said.", "target_sentence": "Case remains open", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'remains'}", "trigger_type": "change_of_state", "annotator": "SL", "nli_labels": ["E", "C", "E", "E", "E"], "ratings": [94.4, 0.23, 99.81, 100.0, 100.0]}}
+{"uid": "412-neg", "premise": "Judith's moment comes as Israel is being threatened by a neighboring power. The male Jewish leadership prepares to surrender, but Judith, a beautiful and pious widow, has another plan. Dressed in her alluring best, she doesn't enter the enemy's camp.", "hypothesis": "Judith was not in the enemy's camp before.", "label": "E", "metadata": {"context1": "Judith's moment comes as Israel is being threatened by a neighboring power.", "context2": "The male Jewish leadership prepares to surrender, but Judith, a beautiful and pious widow, has another plan.", "target_sentence": "Dressed in her alluring best, she doesn't enter the enemy's camp.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'enters'}", "trigger_type": "change_of_state", "annotator": "SL", "nli_labels": ["E", "N", "N", "E", "E"], "ratings": [93.69, 89.89, 93.47, 100.0, 94.94]}}
+{"uid": "412", "premise": "Judith's moment comes as Israel is being threatened by a neighboring power. The male Jewish leadership prepares to surrender, but Judith, a beautiful and pious widow, has another plan. Dressed in her alluring best, she enters the enemy's camp.", "hypothesis": "Judith was not in the enemy's camp before.", "label": "N", "metadata": {"context1": "Judith's moment comes as Israel is being threatened by a neighboring power.", "context2": "The male Jewish leadership prepares to surrender, but Judith, a beautiful and pious widow, has another plan.", "target_sentence": "Dressed in her alluring best, she enters the enemy's camp.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'enters'}", "trigger_type": "change_of_state", "annotator": "SL", "nli_labels": ["N", "E", "N", "N", "N"], "ratings": [33.55, 100.0, 50.0, 62.02, 78.94]}}
+{"uid": "413-neg", "premise": "A car accident. My car rolled about eight or nine times and then wrapped itself around a walnut tree. the car was rolling, the seat belt didn't break.", "hypothesis": "The seat belt wasn't broken before.", "label": "E", "metadata": {"context1": "A car accident.", "context2": "My car rolled about eight or nine times and then wrapped itself around a walnut tree.", "target_sentence": "the car was rolling, the seat belt didn't break.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'broke'}", "trigger_type": "change_of_state", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.22, 100.0, 100.0, 99.88, 100.0]}}
+{"uid": "413", "premise": "A car accident. My car rolled about eight or nine times and then wrapped itself around a walnut tree. the car was rolling, the seat belt broke.", "hypothesis": "The seat belt wasn't broken before.", "label": "E", "metadata": {"context1": "A car accident.", "context2": "My car rolled about eight or nine times and then wrapped itself around a walnut tree.", "target_sentence": "the car was rolling, the seat belt broke.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'broke'}", "trigger_type": "change_of_state", "annotator": "SL", "nli_labels": ["E", "N", "E", "E", "N"], "ratings": [100.0, 97.3, 100.0, 100.0, 94.54]}}
+{"uid": "414-neg", "premise": "It was hard to think of Larry as being from Wyoming. He had no mystique. Sometimes in the early morning I didn't wake up to the sound of the bells on the lead horses as they came in from the open range.", "hypothesis": "I wasn't awake before early morning.", "label": "N", "metadata": {"context1": "It was hard to think of Larry as being from Wyoming.", "context2": "He had no mystique.", "target_sentence": "Sometimes in the early morning I didn't wake up to the sound of the bells on the lead horses as they came in from the open range.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'woke'}", "trigger_type": "change_of_state", "annotator": "SL", "nli_labels": ["E", "N", "N", "N", "E"], "ratings": [99.85, 91.35, 77.1, 81.52, 98.81]}}
+{"uid": "42-neg", "premise": "  In 1978, she didn't graduate from high school and, in three years, earned a bachelor's degree in history from Northwestern University.", "hypothesis": "She was in school before 1978.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "In 1978, she didn't graduate from high school and, in three years, earned a bachelor's degree in history from Northwestern University.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'graduated'}", "trigger_type": "change_of_state", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 97.3, 100.0, 100.0]}}
+{"uid": "42", "premise": "  In 1978, she graduated from high school and, in three years, earned a bachelor's degree in history from Northwestern University.", "hypothesis": "She was in school before 1978.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "In 1978, she graduated from high school and, in three years, earned a bachelor's degree in history from Northwestern University.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'graduated'}", "trigger_type": "change_of_state", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "421-neg", "premise": "Thanks to a declining economy and the national mania for \"downsizing,\" Mel loses her job. As she searches-with growing desperation-to find another job, it becomes increasingly apparent that her husband's business is also in trouble. An assignment Mel's husband had been counting on isn't lost.", "hypothesis": "Mel's husband had an assignment before.", "label": "E", "metadata": {"context1": "Thanks to a declining economy and the national mania for \"downsizing,\" Mel loses her job.", "context2": "As she searches-with growing desperation-to find another job, it becomes increasingly apparent that her husband's business is also in trouble.", "target_sentence": "An assignment Mel's husband had been counting on isn't lost.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'lost'}", "trigger_type": "change_of_state", "annotator": "SL", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 100.0, 85.76, 100.0, 100.0]}}
+{"uid": "421", "premise": "Thanks to a declining economy and the national mania for \"downsizing,\" Mel loses her job. As she searches-with growing desperation-to find another job, it becomes increasingly apparent that her husband's business is also in trouble. An assignment Mel's husband had been counting on is lost.", "hypothesis": "Mel's husband had an assignment before.", "label": "N", "metadata": {"context1": "Thanks to a declining economy and the national mania for \"downsizing,\" Mel loses her job.", "context2": "As she searches-with growing desperation-to find another job, it becomes increasingly apparent that her husband's business is also in trouble.", "target_sentence": "An assignment Mel's husband had been counting on is lost.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'lost'}", "trigger_type": "change_of_state", "annotator": "SL", "nli_labels": ["N", "N", "N", "E", "E"], "ratings": [11.67, 91.35, 47.3, 100.0, 98.92]}}
+{"uid": "423-neg", "premise": " In July, PETA sued KFC for making false statements in its communications to the public. In September, PETA didn't drop the suit.", "hypothesis": "The suit was in place bebore September.", "label": "E", "metadata": {"context1": "", "context2": "In July, PETA sued KFC for making false statements in its communications to the public.", "target_sentence": "In September, PETA didn't drop the suit.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'dropped'}", "trigger_type": "change_of_state", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.46, 100.0, 100.0, 100.0]}}
+{"uid": "423", "premise": " In July, PETA sued KFC for making false statements in its communications to the public. In September, PETA dropped the suit.", "hypothesis": "The suit was in place bebore September.", "label": "E", "metadata": {"context1": "", "context2": "In July, PETA sued KFC for making false statements in its communications to the public.", "target_sentence": "In September, PETA dropped the suit.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'dropped'}", "trigger_type": "change_of_state", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.85, 100.0, 100.0, 100.0, 99.83]}}
+{"uid": "426-neg", "premise": " Tokyo summit, July 9, 1993:  \" Our highest priority is a successful conclusion to the Uruguay round.... There don't remain important issues to be resolved.", "hypothesis": "Important issues were there before.", "label": "E", "metadata": {"context1": "", "context2": "Tokyo summit, July 9, 1993:  \" Our highest priority is a successful conclusion to the Uruguay round....", "target_sentence": "There don't remain important issues to be resolved.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'remain'}", "trigger_type": "change_of_state", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 94.81, 87.46, 98.99, 100.0]}}
+{"uid": "426", "premise": " Tokyo summit, July 9, 1993:  \" Our highest priority is a successful conclusion to the Uruguay round.... There remain important issues to be resolved.", "hypothesis": "Important issues were there before.", "label": "E", "metadata": {"context1": "", "context2": "Tokyo summit, July 9, 1993:  \" Our highest priority is a successful conclusion to the Uruguay round....", "target_sentence": "There remain important issues to be resolved.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'remain'}", "trigger_type": "change_of_state", "annotator": "SL", "nli_labels": ["E", "E", "N", "N", "E"], "ratings": [100.0, 100.0, 88.52, 72.34, 100.0]}}
+{"uid": "429-neg", "premise": "And, Ralph, it seems this is an awful moment but a clarifying one, because for years, for decades, we've heard that the problem with Palestinian society is the Israeli occupation. Well, guess what? The Israelis didn't leave Gaza in 2005.", "hypothesis": "The Israelis were in Gaza before 2005.", "label": "E", "metadata": {"context1": "And, Ralph, it seems this is an awful moment but a clarifying one, because for years, for decades, we've heard that the problem with Palestinian society is the Israeli occupation.", "context2": "Well, guess what?", "target_sentence": "The Israelis didn't leave Gaza in 2005.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'left'}", "trigger_type": "change_of_state", "annotator": "SL", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [97.14, 98.69, 100.0, 55.39, 100.0]}}
+{"uid": "429", "premise": "And, Ralph, it seems this is an awful moment but a clarifying one, because for years, for decades, we've heard that the problem with Palestinian society is the Israeli occupation. Well, guess what? The Israelis left Gaza in 2005.", "hypothesis": "The Israelis were in Gaza before 2005.", "label": "E", "metadata": {"context1": "And, Ralph, it seems this is an awful moment but a clarifying one, because for years, for decades, we've heard that the problem with Palestinian society is the Israeli occupation.", "context2": "Well, guess what?", "target_sentence": "The Israelis left Gaza in 2005.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'left'}", "trigger_type": "change_of_state", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 91.6, 100.0]}}
+{"uid": "433-neg", "premise": "I haven't read but two or three pages when I look up and see that Mrs. Randolph is sleeping. And now that I've stopped yelling, I can also hear her snoring, a ruffled kind of breathing. I didn't close the book and looked at her.", "hypothesis": "The book had been open before.", "label": "E", "metadata": {"context1": "I haven't read but two or three pages when I look up and see that Mrs. Randolph is sleeping.", "context2": "And now that I've stopped yelling, I can also hear her snoring, a ruffled kind of breathing.", "target_sentence": "I didn't close the book and looked at her.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'close'}", "trigger_type": "change_of_state", "annotator": "SL", "nli_labels": ["N", "N", "E", "E", "E"], "ratings": [63.32, 93.84, 100.0, 100.0, 99.16]}}
+{"uid": "433", "premise": "I haven't read but two or three pages when I look up and see that Mrs. Randolph is sleeping. And now that I've stopped yelling, I can also hear her snoring, a ruffled kind of breathing. I closed the book and looked at her.", "hypothesis": "The book had been open before.", "label": "E", "metadata": {"context1": "I haven't read but two or three pages when I look up and see that Mrs. Randolph is sleeping.", "context2": "And now that I've stopped yelling, I can also hear her snoring, a ruffled kind of breathing.", "target_sentence": "I closed the book and looked at her.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'close'}", "trigger_type": "change_of_state", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "434-neg", "premise": "  In less than two months, Marvel's unlikely band of cosmic misfits won't return to movie theaters for the highly anticipated sequel, Guardians of the Galaxy Vol.", "hypothesis": "Marvel's unlikely band of comic misfits have been in movie theaters before.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "In less than two months, Marvel's unlikely band of cosmic misfits won't return to movie theaters for the highly anticipated sequel, Guardians of the Galaxy Vol.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'return'}", "trigger_type": "change_of_state", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 97.65, 86.37]}}
+{"uid": "434", "premise": "  In less than two months, Marvel's unlikely band of cosmic misfits will return to movie theaters for the highly anticipated sequel, Guardians of the Galaxy Vol.", "hypothesis": "Marvel's unlikely band of comic misfits have been in movie theaters before.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "In less than two months, Marvel's unlikely band of cosmic misfits will return to movie theaters for the highly anticipated sequel, Guardians of the Galaxy Vol.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'return'}", "trigger_type": "change_of_state", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "436-neg", "premise": "I called him, it was 5 a.m. I was in London at the time and I hadn't returned to London.", "hypothesis": "I was in London before", "label": "E", "metadata": {"context1": "I called him, it was 5 a.m.", "context2": "I was in London at the time", "target_sentence": "and I hadn't returned to London.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'returned'}", "trigger_type": "change_of_state", "annotator": "SL", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [99.06, 48.5, 100.0, 100.0, 100.0]}}
+{"uid": "436", "premise": "I called him, it was 5 a.m. I was in London at the time and I had returned to London.", "hypothesis": "I was in London before", "label": "E", "metadata": {"context1": "I called him, it was 5 a.m.", "context2": "I was in London at the time", "target_sentence": "and I had returned to London.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'returned'}", "trigger_type": "change_of_state", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [94.94, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "438", "premise": "Shanae was wanted. She was born 23 weeks from conception. Because of complications Shanae died.", "hypothesis": "Shanae was alive previously.", "label": "E", "metadata": {"context1": "Shanae was wanted.", "context2": "She was born 23 weeks from conception.", "target_sentence": "Because of complications Shanae died.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'died'}", "trigger_type": "change_of_state", "annotator": "SL", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 99.28, 100.0, 95.59, 100.0]}}
+{"uid": "441-neg", "premise": "  The opportunities this turnaround presents have been lost on Washington.", "hypothesis": "Washington had the opportunities this turnaround presents before.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "The opportunities this turnaround presents have been lost on Washington.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'lost'}", "trigger_type": "change_of_state", "annotator": "SL", "nli_labels": ["N", "N", "E", "E", "E"], "ratings": [86.37, 51.8, 96.37, 99.79, 100.0]}}
+{"uid": "441", "premise": "  The opportunities this turnaround presents have not been lost on Washington.", "hypothesis": "Washington had the opportunities this turnaround presents before.", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "The opportunities this turnaround presents have not been lost on Washington.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'lost'}", "trigger_type": "change_of_state", "annotator": "SL", "nli_labels": ["N", "N", "N", "E", "N"], "ratings": [10.02, 50.45, 24.4, 100.0, 91.18]}}
+{"uid": "442-neg", "premise": "\"I used to be like you,\" she says quietly. While she was in high school and college, Lynda tells me, she worked summers cleaning toilets and washing windows with a maid service. The managers wouldn't drop Linda and others off at clients' homes in pink cars, and they wore pink uniforms.", "hypothesis": "Linda and others rode a pink car before.", "label": "C", "metadata": {"context1": "\"I used to be like you,\" she says quietly.", "context2": "While she was in high school and college, Lynda tells me, she worked summers cleaning toilets and washing windows with a maid service.", "target_sentence": "The managers wouldn't drop Linda and others off at clients' homes in pink cars, and they wore pink uniforms.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'drop'}", "trigger_type": "change_of_state", "annotator": "SL", "nli_labels": ["E", "C", "C", "C", "E"], "ratings": [96.98, 0.38, 1.63, 0.38, 90.93]}}
+{"uid": "442", "premise": "\"I used to be like you,\" she says quietly. While she was in high school and college, Lynda tells me, she worked summers cleaning toilets and washing windows with a maid service. The managers would drop Linda and others off at clients' homes in pink cars, and they wore pink uniforms.", "hypothesis": "Linda and others rode a pink car before.", "label": "E", "metadata": {"context1": "\"I used to be like you,\" she says quietly.", "context2": "While she was in high school and college, Lynda tells me, she worked summers cleaning toilets and washing windows with a maid service.", "target_sentence": "The managers would drop Linda and others off at clients' homes in pink cars, and they wore pink uniforms.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'drop'}", "trigger_type": "change_of_state", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [100.0, 100.0, 100.0, 100.0, 52.7]}}
+{"uid": "444-neg", "premise": "Speaker B: Yeah.\nSpeaker A: after the tour. They're not breaking up.", "hypothesis": "They have been in a relationship up to now.", "label": "E", "metadata": {"context1": "Yeah.", "context2": "after the tour.", "target_sentence": "They're not breaking up.", "speaker_context1": "HODA-KOTB", "speaker_context2": "ROB-SHUTER", "speaker_target": "ROB-SHUTER", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'breaking'}", "trigger_type": "change_of_state", "annotator": "SL", "nli_labels": ["N", "N", "E", "E", "E"], "ratings": [85.76, 12.73, 100.0, 100.0, 99.54]}}
+{"uid": "444", "premise": "Speaker B: Yeah.\nSpeaker A: after the tour. They're breaking up.", "hypothesis": "They have been in a relationship up to now.", "label": "E", "metadata": {"context1": "Yeah.", "context2": "after the tour.", "target_sentence": "They're breaking up.", "speaker_context1": "HODA-KOTB", "speaker_context2": "ROB-SHUTER", "speaker_target": "ROB-SHUTER", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'breaking'}", "trigger_type": "change_of_state", "annotator": "SL", "nli_labels": ["N", "N", "E", "E", "E"], "ratings": [95.14, 64.18, 100.0, 100.0, 100.0]}}
+{"uid": "445-neg", "premise": "Settlements and legal fees have cost the church close to $2 billion. Six dioceses have entered bankruptcy. Many Catholics, observers say, didn't remain skeptical about church leadership.", "hypothesis": "Many Catholics were already skeptical about church leadership.", "label": "N", "metadata": {"context1": "Settlements and legal fees have cost the church close to $2 billion.", "context2": "Six dioceses have entered bankruptcy.", "target_sentence": "Many Catholics, observers say, didn't remain skeptical about church leadership.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'remain'}", "trigger_type": "change_of_state", "annotator": "SL", "nli_labels": ["N", "E", "N", "C", "N"], "ratings": [94.54, 92.56, 2.26, 0.0, 88.33]}}
+{"uid": "445", "premise": "Settlements and legal fees have cost the church close to $2 billion. Six dioceses have entered bankruptcy. Many Catholics, observers say, remain skeptical about church leadership.", "hypothesis": "Many Catholics were already skeptical about church leadership.", "label": "E", "metadata": {"context1": "Settlements and legal fees have cost the church close to $2 billion.", "context2": "Six dioceses have entered bankruptcy.", "target_sentence": "Many Catholics, observers say, remain skeptical about church leadership.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'remain'}", "trigger_type": "change_of_state", "annotator": "SL", "nli_labels": ["E", "E", "N", "E", "N"], "ratings": [99.79, 100.0, 71.14, 99.25, 57.47]}}
+{"uid": "446-neg", "premise": "The term \"naive\" was specifically coined to describe 19th-century artists who came to art late in life from unrelated careers with no formal art education. Their whimsical scenes, filled with childlike freshness and mystery, inspired the name. And it wasn't this unfettered art of the late 1800s that helped move painting from the traditional and academic into modern art-whose very essence rests on the freedom to imagine anything.", "hypothesis": "Something helped move painting from the traditional and academic into modern art.", "label": "N", "metadata": {"context1": "The term \"naive\" was specifically coined to describe 19th-century artists who came to art late in life from unrelated careers with no formal art education.", "context2": "Their whimsical scenes, filled with childlike freshness and mystery, inspired the name.", "target_sentence": "And it wasn't this unfettered art of the late 1800s that helped move painting from the traditional and academic into modern art-whose very essence rests on the freedom to imagine anything.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["E", "E", "N", "N", "N"], "ratings": [100.0, 100.0, 91.6, 83.21, 80.72]}}
+{"uid": "446", "premise": "The term \"naive\" was specifically coined to describe 19th-century artists who came to art late in life from unrelated careers with no formal art education. Their whimsical scenes, filled with childlike freshness and mystery, inspired the name. And it was this unfettered art of the late 1800s that helped move painting from the traditional and academic into modern art-whose very essence rests on the freedom to imagine anything.", "hypothesis": "Something helped move painting from the traditional and academic into modern art.", "label": "E", "metadata": {"context1": "The term \"naive\" was specifically coined to describe 19th-century artists who came to art late in life from unrelated careers with no formal art education.", "context2": "Their whimsical scenes, filled with childlike freshness and mystery, inspired the name.", "target_sentence": "And it was this unfettered art of the late 1800s that helped move painting from the traditional and academic into modern art-whose very essence rests on the freedom to imagine anything.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [94.74, 100.0, 100.0, 97.5, 82.43]}}
+{"uid": "448-neg", "premise": "\"It's definitely not activist work,\" Watanabe says. \" It's just, if I get upset about factory farming, it's not about the millions of chickens-it's every single individual one. For me, it isn't the specifics that make something wonderful.", "hypothesis": "Something makes something wonderful.", "label": "N", "metadata": {"context1": "\"It's definitely not activist work,\" Watanabe says.", "context2": "\" It's just, if I get upset about factory farming, it's not about the millions of chickens-it's every single individual one.", "target_sentence": "For me, it isn't the specifics that make something wonderful.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["N", "N", "N", "E", "N"], "ratings": [90.24, 75.47, 77.6, 100.0, 57.02]}}
+{"uid": "448", "premise": "\"It's definitely not activist work,\" Watanabe says. \" It's just, if I get upset about factory farming, it's not about the millions of chickens-it's every single individual one. For me, it's the specifics that make something wonderful.", "hypothesis": "Something makes something wonderful.", "label": "E", "metadata": {"context1": "\"It's definitely not activist work,\" Watanabe says.", "context2": "\" It's just, if I get upset about factory farming, it's not about the millions of chickens-it's every single individual one.", "target_sentence": "For me, it's the specifics that make something wonderful.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["E", "N", "N", "E", "E"], "ratings": [97.98, 63.32, 47.0, 99.46, 100.0]}}
+{"uid": "450-neg", "premise": "But that seems too strong. The accepted expression, \"Pitie-de-Nostre-Seigneur,\" because it is plurivocal, is undoubtedly better. It deserves careful attention: it is just an image that awakens the spectator's piety ;", "hypothesis": "Something awakens the spectator's piety.", "label": "E", "metadata": {"context1": "But that seems too strong.", "context2": "The accepted expression, \"Pitie-de-Nostre-Seigneur,\" because it is plurivocal, is undoubtedly better.", "target_sentence": "It deserves careful attention: it is just an image that awakens the spectator's piety ;", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [99.79, 100.0, 100.0, 100.0, 90.5]}}
+{"uid": "450", "premise": "But that seems too strong. The accepted expression, \"Pitie-de-Nostre-Seigneur,\" because it is plurivocal, is undoubtedly better. It deserves careful attention: it is not just an image that awakens the spectator's piety ;", "hypothesis": "Something awakens the spectator's piety.", "label": "E", "metadata": {"context1": "But that seems too strong.", "context2": "The accepted expression, \"Pitie-de-Nostre-Seigneur,\" because it is plurivocal, is undoubtedly better.", "target_sentence": "It deserves careful attention: it is not just an image that awakens the spectator's piety ;", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["N", "E", "E", "E", "N"], "ratings": [91.68, 100.0, 100.0, 100.0, 82.87]}}
+{"uid": "451-neg", "premise": "Modarski was behind Rutland. // Rutland heard Phillips yelling at the teenager to stop. Then Rutland heard a gunshot--- it wasn't Phillips who fired the first shot. //", "hypothesis": "Someone fired the first shot. //", "label": "E", "metadata": {"context1": "Modarski was behind Rutland. //", "context2": "Rutland heard Phillips yelling at the teenager to stop.", "target_sentence": "Then Rutland heard a gunshot--- it wasn't Phillips who fired the first shot. //", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "451", "premise": "Modarski was behind Rutland. // Rutland heard Phillips yelling at the teenager to stop. Then Rutland heard a gunshot--- it was Phillips who fired the first shot. //", "hypothesis": "Someone fired the first shot. //", "label": "E", "metadata": {"context1": "Modarski was behind Rutland. //", "context2": "Rutland heard Phillips yelling at the teenager to stop.", "target_sentence": "Then Rutland heard a gunshot--- it was Phillips who fired the first shot. //", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.54, 100.0, 100.0, 100.0]}}
+{"uid": "458-neg", "premise": "More often than not, it is the American left that gets lost in absurd fantasies about race in this country. They pretend there has been no progress in recent decades, even when they see the rise of a black middle class and witness the election of a mixed-race president and the likely confirmation of a Hispanic woman to the Supreme Court. it isn't the right wing and its supporters on the high court who are making stuff up.", "hypothesis": "Someone is making stuff up.", "label": "E", "metadata": {"context1": "More often than not, it is the American left that gets lost in absurd fantasies about race in this country.", "context2": "They pretend there has been no progress in recent decades, even when they see the rise of a black middle class and witness the election of a mixed-race president and the likely confirmation of a Hispanic woman to the Supreme Court.", "target_sentence": "it isn't the right wing and its supporters on the high court who are making stuff up.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["E", "C", "E", "E", "E"], "ratings": [100.0, 0.29, 100.0, 100.0, 85.55]}}
+{"uid": "458", "premise": "More often than not, it is the American left that gets lost in absurd fantasies about race in this country. They pretend there has been no progress in recent decades, even when they see the rise of a black middle class and witness the election of a mixed-race president and the likely confirmation of a Hispanic woman to the Supreme Court. it is the right wing and its supporters on the high court who are making stuff up.", "hypothesis": "Someone is making stuff up.", "label": "E", "metadata": {"context1": "More often than not, it is the American left that gets lost in absurd fantasies about race in this country.", "context2": "They pretend there has been no progress in recent decades, even when they see the rise of a black middle class and witness the election of a mixed-race president and the likely confirmation of a Hispanic woman to the Supreme Court.", "target_sentence": "it is the right wing and its supporters on the high court who are making stuff up.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 87.75, 100.0, 100.0, 100.0]}}
+{"uid": "459-neg", "premise": "Speaker B: I could be wrong.\nSpeaker A: No, you're right. It's not a youth-it's not the younger generation that's going to look at soccer in a whole different way than the older generation is.", "hypothesis": "Someone is going to look at soccer in a whole different way than the older generation is.", "label": "E", "metadata": {"context1": "I could be wrong.", "context2": "No, you're right.", "target_sentence": "It's not a youth-it's not the younger generation that's going to look at soccer in a whole different way than the older generation is.", "speaker_context1": "MICHEL-MARTIN", "speaker_context2": "RICK-NAJERA", "speaker_target": "RICK-NAJERA", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["E", "E", "N", "E", "N"], "ratings": [97.25, 100.0, 7.91, 95.9, 67.71]}}
+{"uid": "459", "premise": "Speaker B: I could be wrong.\nSpeaker A: No, you're right. It's a youth-it's the younger generation that's going to look at soccer in a whole different way than the older generation is.", "hypothesis": "Someone is going to look at soccer in a whole different way than the older generation is.", "label": "E", "metadata": {"context1": "I could be wrong.", "context2": "No, you're right.", "target_sentence": "It's a youth-it's the younger generation that's going to look at soccer in a whole different way than the older generation is.", "speaker_context1": "MICHEL-MARTIN", "speaker_context2": "RICK-NAJERA", "speaker_target": "RICK-NAJERA", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [97.88, 97.98, 100.0, 100.0, 100.0]}}
+{"uid": "461-neg", "premise": " Unlike the original five prizes named in Alfred Nobel's will more than a century ago, the economics award--formally called the Bank of Sweden Prize in Economic Sciences in Memory of Alfred Nobel--was created in 1968 by the nation's central bank in honor of its 300th anniversary. In fact, it is the bloodlines that have stirred up dismay as the kind of work that has often been honored.", "hypothesis": "Something has stirred up dismay.", "label": "E", "metadata": {"context1": "", "context2": "Unlike the original five prizes named in Alfred Nobel's will more than a century ago, the economics award--formally called the Bank of Sweden Prize in Economic Sciences in Memory of Alfred Nobel--was created in 1968 by the nation's central bank in honor of its 300th anniversary.", "target_sentence": "In fact, it is the bloodlines that have stirred up dismay as the kind of work that has often been honored.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.81, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "461", "premise": " Unlike the original five prizes named in Alfred Nobel's will more than a century ago, the economics award--formally called the Bank of Sweden Prize in Economic Sciences in Memory of Alfred Nobel--was created in 1968 by the nation's central bank in honor of its 300th anniversary. In fact, it isn't the bloodlines that have stirred up dismay as the kind of work that has often been honored.", "hypothesis": "Something has stirred up dismay.", "label": "E", "metadata": {"context1": "", "context2": "Unlike the original five prizes named in Alfred Nobel's will more than a century ago, the economics award--formally called the Bank of Sweden Prize in Economic Sciences in Memory of Alfred Nobel--was created in 1968 by the nation's central bank in honor of its 300th anniversary.", "target_sentence": "In fact, it isn't the bloodlines that have stirred up dismay as the kind of work that has often been honored.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [90.5, 100.0, 98.16, 94.61, 90.06]}}
+{"uid": "463-neg", "premise": "But now she needed his help.  In fact, it was a man who greeted her.", "hypothesis": "Someone greeted her.", "label": "E", "metadata": {"context1": "But now she needed his help.", "context2": "", "target_sentence": "In fact, it was a man who greeted her.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.4, 100.0, 100.0]}}
+{"uid": "463", "premise": "But now she needed his help.  In fact, it wasn't a man who greeted her.", "hypothesis": "Someone greeted her.", "label": "E", "metadata": {"context1": "But now she needed his help.", "context2": "", "target_sentence": "In fact, it wasn't a man who greeted her.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "464-neg", "premise": "Each clan traces its descent from a common ancestor in the remote past. Within clans there are family subclans, often bitterly divided against each other. It isn't to his subclan that a Somali looks for protection against the outside world, and it is the subclan that exacts revenge or compensation for a Somali who is killed.", "hypothesis": "A Somali looks to something for protection against the outside world.", "label": "E", "metadata": {"context1": "Each clan traces its descent from a common ancestor in the remote past.", "context2": "Within clans there are family subclans, often bitterly divided against each other.", "target_sentence": "It isn't to his subclan that a Somali looks for protection against the outside world, and it is the subclan that exacts revenge or compensation for a Somali who is killed.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["E", "E", "C", "E", "E"], "ratings": [100.0, 100.0, 0.0, 100.0, 100.0]}}
+{"uid": "464", "premise": "Each clan traces its descent from a common ancestor in the remote past. Within clans there are family subclans, often bitterly divided against each other. It is to his subclan that a Somali looks for protection against the outside world, and it is the subclan that exacts revenge or compensation for a Somali who is killed.", "hypothesis": "A Somali looks to something for protection against the outside world.", "label": "E", "metadata": {"context1": "Each clan traces its descent from a common ancestor in the remote past.", "context2": "Within clans there are family subclans, often bitterly divided against each other.", "target_sentence": "It is to his subclan that a Somali looks for protection against the outside world, and it is the subclan that exacts revenge or compensation for a Somali who is killed.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.28, 100.0, 100.0, 100.0]}}
+{"uid": "465-neg", "premise": "J. SCOTT TRUBEY AGRICULTURE Bird flu spreads at Minn. turkey farms A ninth Minnesota turkey farm has been hit by a form of bird flu that's deadly to poultry, this time in a large Jennie-O-Turkey Store operation that has 310,000 turkeys, federal authorities and company officials said Wednesday. The U.S. Department of Agriculture didn't say tests confirmed it was the same highly pathogenic H5N2 strain of avian influenza that infected eight other farms in Minnesota, the country's top turkey-producing state.", "hypothesis": "Something infected eight other farms in Minnesota.", "label": "E", "metadata": {"context1": "J. SCOTT TRUBEY AGRICULTURE Bird flu spreads at Minn. turkey farms", "context2": "A ninth Minnesota turkey farm has been hit by a form of bird flu that's deadly to poultry, this time in a large Jennie-O-Turkey Store operation that has 310,000 turkeys, federal authorities and company officials said Wednesday.", "target_sentence": "The U.S. Department of Agriculture didn't say tests confirmed it was the same highly pathogenic H5N2 strain of avian influenza that infected eight other farms in Minnesota, the country's top turkey-producing state.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 99.46, 100.0]}}
+{"uid": "465", "premise": "J. SCOTT TRUBEY AGRICULTURE Bird flu spreads at Minn. turkey farms A ninth Minnesota turkey farm has been hit by a form of bird flu that's deadly to poultry, this time in a large Jennie-O-Turkey Store operation that has 310,000 turkeys, federal authorities and company officials said Wednesday. The U.S. Department of Agriculture said tests confirmed it was the same highly pathogenic H5N2 strain of avian influenza that infected eight other farms in Minnesota, the country's top turkey-producing state.", "hypothesis": "Something infected eight other farms in Minnesota.", "label": "E", "metadata": {"context1": "J. SCOTT TRUBEY AGRICULTURE Bird flu spreads at Minn. turkey farms", "context2": "A ninth Minnesota turkey farm has been hit by a form of bird flu that's deadly to poultry, this time in a large Jennie-O-Turkey Store operation that has 310,000 turkeys, federal authorities and company officials said Wednesday.", "target_sentence": "The U.S. Department of Agriculture said tests confirmed it was the same highly pathogenic H5N2 strain of avian influenza that infected eight other farms in Minnesota, the country's top turkey-producing state.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.79, 100.0, 100.0, 99.71]}}
+{"uid": "466-neg", "premise": "Bullet wounds hurt like a bitch-she knew, she'd been shot once. Not exactly a stellar memory. it was the weapons that made her tremble.", "hypothesis": "Something made her tremble.", "label": "E", "metadata": {"context1": "Bullet wounds hurt like a bitch-she knew, she'd been shot once.", "context2": "Not exactly a stellar memory.", "target_sentence": "it was the weapons that made her tremble.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.37, 100.0, 100.0, 100.0]}}
+{"uid": "466", "premise": "Bullet wounds hurt like a bitch-she knew, she'd been shot once. Not exactly a stellar memory. it wasn't the weapons that made her tremble.", "hypothesis": "Something made her tremble.", "label": "E", "metadata": {"context1": "Bullet wounds hurt like a bitch-she knew, she'd been shot once.", "context2": "Not exactly a stellar memory.", "target_sentence": "it wasn't the weapons that made her tremble.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 98.41, 100.0, 100.0]}}
+{"uid": "467-neg", "premise": "Tartars and Arab clans / tribes exemplify this stage well. Such an inquiry can be either light-bearing or fruit-bearing (Pigou, 1946). In the analysis of human society, it isn't the fruit-bearing that dominates.", "hypothesis": "In the analysis of human society, soemthing dominates.", "label": "E", "metadata": {"context1": "Tartars and Arab clans / tribes exemplify this stage well.", "context2": "Such an inquiry can be either light-bearing or fruit-bearing (Pigou, 1946).", "target_sentence": "In the analysis of human society, it isn't the fruit-bearing that dominates.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 97.4]}}
+{"uid": "467", "premise": "Tartars and Arab clans / tribes exemplify this stage well. Such an inquiry can be either light-bearing or fruit-bearing (Pigou, 1946). In the analysis of human society, it is the fruit-bearing that dominates.", "hypothesis": "In the analysis of human society, soemthing dominates.", "label": "E", "metadata": {"context1": "Tartars and Arab clans / tribes exemplify this stage well.", "context2": "Such an inquiry can be either light-bearing or fruit-bearing (Pigou, 1946).", "target_sentence": "In the analysis of human society, it is the fruit-bearing that dominates.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "474-neg", "premise": "They won't be able to sit in circle time. They won't have any idea that the rules apply to them. it's not that kind of thing that often brings the child to first attention. GROSS", "hypothesis": "Something often brings the child to first attention.", "label": "E", "metadata": {"context1": "They won't be able to sit in circle time.", "context2": "They won't have any idea that the rules apply to them.", "target_sentence": "it's not that kind of thing that often brings the child to first attention. GROSS", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["E", "N", "C", "E", "E"], "ratings": [97.3, 10.02, 0.98, 100.0, 95.59]}}
+{"uid": "474", "premise": "They won't be able to sit in circle time. They won't have any idea that the rules apply to them. it's that kind of thing that often brings the child to first attention. GROSS", "hypothesis": "Something often brings the child to first attention.", "label": "E", "metadata": {"context1": "They won't be able to sit in circle time.", "context2": "They won't have any idea that the rules apply to them.", "target_sentence": "it's that kind of thing that often brings the child to first attention. GROSS", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 100.0, 86.37, 100.0, 100.0]}}
+{"uid": "475-neg", "premise": " and it is Hispanic kids it is Catholic kids and Irish kids who make up predominantly the fighting armed forces of the United States.", "hypothesis": "Some group predominantly makes up the fighting armed forces of the United States.", "label": "E", "metadata": {"context1": "", "context2": "and it is Hispanic kids", "target_sentence": "it is Catholic kids and Irish kids who make up predominantly the fighting armed forces of the United States.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["N", "N", "E", "E", "E"], "ratings": [38.27, 80.01, 100.0, 99.46, 94.4]}}
+{"uid": "475", "premise": " and it is Hispanic kids it is Catholic kids and Irish kids who make up predominantly the fighting armed forces of the United States.", "hypothesis": "Some group predominantly makes up the fighting armed forces of the United States.", "label": "E", "metadata": {"context1": "", "context2": "and it is Hispanic kids", "target_sentence": "it is Catholic kids and Irish kids who make up predominantly the fighting armed forces of the United States.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["N", "E", "E", "N", "E"], "ratings": [81.06, 100.0, 97.14, 80.6, 100.0]}}
+{"uid": "476-neg", "premise": "This year, it's battery power. Ever since the automobile displaced the horse and buggy a century ago, almost all cars have run on fuel derived from oil. A new revolution is underway, and this time, it's not the fuel that's poised for a makeover.", "hypothesis": "Something is poised for a makeover.", "label": "E", "metadata": {"context1": "This year, it's battery power.", "context2": "Ever since the automobile displaced the horse and buggy a century ago, almost all cars have run on fuel derived from oil.", "target_sentence": "A new revolution is underway, and this time, it's not the fuel that's poised for a makeover.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 96.71, 99.85, 100.0]}}
+{"uid": "476", "premise": "This year, it's battery power. Ever since the automobile displaced the horse and buggy a century ago, almost all cars have run on fuel derived from oil. A new revolution is underway, and this time, it's the fuel that's poised for a makeover.", "hypothesis": "Something is poised for a makeover.", "label": "E", "metadata": {"context1": "This year, it's battery power.", "context2": "Ever since the automobile displaced the horse and buggy a century ago, almost all cars have run on fuel derived from oil.", "target_sentence": "A new revolution is underway, and this time, it's the fuel that's poised for a makeover.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "477-neg", "premise": "Crumptonian Tours and Transport bears no responsibility for the conduct of their tour groups, \" he calmly explained to the mayor, who was screaming at him over the telephone.  I don't believe it was certain deficiencies of service and lack of consideration of their beliefs that caused the Devitts to undertake their drastically creative civic improvement. \"", "hypothesis": "Something caused the Devitts to undertake their drastically creative civic improvement.", "label": "E", "metadata": {"context1": "Crumptonian Tours and Transport bears no responsibility for the conduct of their tour groups, \" he calmly explained to the mayor, who was screaming at him over the telephone.", "context2": "", "target_sentence": "I don't believe it was certain deficiencies of service and lack of consideration of their beliefs that caused the Devitts to undertake their drastically creative civic improvement. \"", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["E", "N", "E", "E", "N"], "ratings": [100.0, 87.75, 97.04, 98.99, 2.91]}}
+{"uid": "477", "premise": "Crumptonian Tours and Transport bears no responsibility for the conduct of their tour groups, \" he calmly explained to the mayor, who was screaming at him over the telephone.  I believe it was certain deficiencies of service and lack of consideration of their beliefs that caused the Devitts to undertake their drastically creative civic improvement. \"", "hypothesis": "Something caused the Devitts to undertake their drastically creative civic improvement.", "label": "E", "metadata": {"context1": "Crumptonian Tours and Transport bears no responsibility for the conduct of their tour groups, \" he calmly explained to the mayor, who was screaming at him over the telephone.", "context2": "", "target_sentence": "I believe it was certain deficiencies of service and lack of consideration of their beliefs that caused the Devitts to undertake their drastically creative civic improvement. \"", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [96.2, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "479-neg", "premise": "Little wander they gravitate to areas where the sun works its magic first. Much has been made of how, in the Northern Hemisphere, bass gravitate to the northwestern portions of lakes and reservoirs. With the sun still carving its appearance in a south or southeastern quadrant, it's not the northern shores that get old Sol's maximum effect.", "hypothesis": "Something (someplace) gets old Sol's maximum effect.", "label": "E", "metadata": {"context1": "Little wander they gravitate to areas where the sun works its magic first.", "context2": "Much has been made of how, in the Northern Hemisphere, bass gravitate to the northwestern portions of lakes and reservoirs.", "target_sentence": "With the sun still carving its appearance in a south or southeastern quadrant, it's not the northern shores that get old Sol's maximum effect.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["E", "E", "E", "N", "N"], "ratings": [100.0, 100.0, 99.37, 50.6, 80.01]}}
+{"uid": "479", "premise": "Little wander they gravitate to areas where the sun works its magic first. Much has been made of how, in the Northern Hemisphere, bass gravitate to the northwestern portions of lakes and reservoirs. With the sun still carving its appearance in a south or southeastern quadrant, it's the northern shores that get old Sol's maximum effect.", "hypothesis": "Something (someplace) gets old Sol's maximum effect.", "label": "E", "metadata": {"context1": "Little wander they gravitate to areas where the sun works its magic first.", "context2": "Much has been made of how, in the Northern Hemisphere, bass gravitate to the northwestern portions of lakes and reservoirs.", "target_sentence": "With the sun still carving its appearance in a south or southeastern quadrant, it's the northern shores that get old Sol's maximum effect.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "480-neg", "premise": "Speaker A: Yeah, it's quite a few issues. It's what I would look forward to. It's not both Indiana Jones and National Geographic that inspired me to be an Egyptologist.", "hypothesis": "Something (or someone) inspired me to be an Egyptologist.", "label": "E", "metadata": {"context1": "Yeah, it's quite a few issues.", "context2": "It's what I would look forward to.", "target_sentence": "It's not both Indiana Jones and National Geographic that inspired me to be an Egyptologist.", "speaker_context1": "SARAH-PARCAK", "speaker_context2": "SARAH-PARCAK", "speaker_target": "SARAH-PARCAK", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 95.96, 100.0, 95.77]}}
+{"uid": "480", "premise": "Speaker A: Yeah, it's quite a few issues. It's what I would look forward to. It's both Indiana Jones and National Geographic that inspired me to be an Egyptologist.", "hypothesis": "Something (or someone) inspired me to be an Egyptologist.", "label": "E", "metadata": {"context1": "Yeah, it's quite a few issues.", "context2": "It's what I would look forward to.", "target_sentence": "It's both Indiana Jones and National Geographic that inspired me to be an Egyptologist.", "speaker_context1": "SARAH-PARCAK", "speaker_context2": "SARAH-PARCAK", "speaker_target": "SARAH-PARCAK", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.54, 100.0, 100.0]}}
+{"uid": "487-neg", "premise": "The current theory about the beginning of mankind-the Out of Africa theory-states that an early prehuman, Homo erectus, evolved into Homo sapiens, who then left Africa some 100,000 years ago and eventually evolved into the modern peoples of the world. But there is a small contingent of rebel theorists - the \"multiregionalists\" -who hold that it wasn't Homo erectus who spread out to various locations where each developed into its own transitional hominid.", "hypothesis": "Something spread out to various locations where each developed into its own transitional hominid.", "label": "E", "metadata": {"context1": "The current theory about the beginning of mankind-the Out of Africa theory-states that an early prehuman, Homo erectus, evolved into Homo sapiens, who then left Africa some 100,000 years ago and eventually evolved into the modern peoples of the world.", "context2": "But there is a small contingent of rebel theorists -", "target_sentence": "the \"multiregionalists\" -who hold that it wasn't Homo erectus who spread out to various locations where each developed into its own transitional hominid.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["N", "E", "E", "E", "N"], "ratings": [63.03, 100.0, 98.2, 91.6, 82.87]}}
+{"uid": "487", "premise": "The current theory about the beginning of mankind-the Out of Africa theory-states that an early prehuman, Homo erectus, evolved into Homo sapiens, who then left Africa some 100,000 years ago and eventually evolved into the modern peoples of the world. But there is a small contingent of rebel theorists - the \"multiregionalists\" -who hold that it was Homo erectus who spread out to various locations where each developed into its own transitional hominid.", "hypothesis": "Something spread out to various locations where each developed into its own transitional hominid.", "label": "E", "metadata": {"context1": "The current theory about the beginning of mankind-the Out of Africa theory-states that an early prehuman, Homo erectus, evolved into Homo sapiens, who then left Africa some 100,000 years ago and eventually evolved into the modern peoples of the world.", "context2": "But there is a small contingent of rebel theorists -", "target_sentence": "the \"multiregionalists\" -who hold that it was Homo erectus who spread out to various locations where each developed into its own transitional hominid.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SL", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 75.09, 99.85, 100.0, 100.0]}}
+{"uid": "490-neg", "premise": " SIMON It's not a longer race than the other two.", "hypothesis": "The other two are a race.", "label": "E", "metadata": {"context1": "", "context2": "SIMON", "target_sentence": "It's not a longer race than the other two.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'longer', 'noun': 'race'}", "trigger_type": "comparatives", "annotator": "SL", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [99.99, 99.02, 100.0, 89.98, 100.0]}}
+{"uid": "490", "premise": " SIMON It's a longer race than the other two.", "hypothesis": "The other two are a race.", "label": "E", "metadata": {"context1": "", "context2": "SIMON", "target_sentence": "It's a longer race than the other two.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'longer', 'noun': 'race'}", "trigger_type": "comparatives", "annotator": "SL", "nli_labels": ["E", "E", "C", "E", "E"], "ratings": [100.0, 100.0, 0.0, 100.0, 100.0]}}
+{"uid": "491-neg", "premise": " There are ways to reduce the confusion. For one, there aren't sharper search strategies than Googling.", "hypothesis": "Googling is a search strategy.", "label": "E", "metadata": {"context1": "", "context2": "There are ways to reduce the confusion.", "target_sentence": "For one, there aren't sharper search strategies than Googling.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'sharper', 'noun': 'strategies'}", "trigger_type": "comparatives", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "491", "premise": " There are ways to reduce the confusion. For one, there are sharper search strategies than Googling.", "hypothesis": "Googling is a search strategy.", "label": "E", "metadata": {"context1": "", "context2": "There are ways to reduce the confusion.", "target_sentence": "For one, there are sharper search strategies than Googling.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'sharper', 'noun': 'strategies'}", "trigger_type": "comparatives", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "494-neg", "premise": " I agree with them. I don't think there's much better human beings than me, but I decided, I don't know, a few years after my son died, I decided that I didn't want my son to have lived in vain.", "hypothesis": "I am a human being.", "label": "E", "metadata": {"context1": "", "context2": "I agree with them.", "target_sentence": "I don't think there's much better human beings than me, but I decided, I don't know, a few years after my son died, I decided that I didn't want my son to have lived in vain.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'better', 'noun': 'beings'}", "trigger_type": "comparatives", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.85, 100.0, 100.0, 100.0]}}
+{"uid": "494", "premise": " I agree with them. I think there's much better human beings than me, but I decided, I don't know, a few years after my son died, I decided that I didn't want my son to have lived in vain.", "hypothesis": "I am a human being.", "label": "E", "metadata": {"context1": "", "context2": "I agree with them.", "target_sentence": "I think there's much better human beings than me, but I decided, I don't know, a few years after my son died, I decided that I didn't want my son to have lived in vain.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'better', 'noun': 'beings'}", "trigger_type": "comparatives", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "501", "premise": "  There is no surer route to a cultivated taste than tasting.", "hypothesis": "Tasting is a route to a cultivated taste.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "There is no surer route to a cultivated taste than tasting.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'adjective': 'surer', 'noun': 'route'}", "trigger_type": "comparatives", "annotator": "SL", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 100.0, 99.4, 88.61, 100.0]}}
+{"uid": "505-neg", "premise": "WILSON Well, we've got a lot more to do. I'm not pleased with the initial steps that the laboratories have taken, this is a much broader problem than just the Department of Energy or the labs.", "hypothesis": "The Department of Energy or the labs are a problem.", "label": "E", "metadata": {"context1": "WILSON", "context2": "Well, we've got a lot more to do.", "target_sentence": "I'm not pleased with the initial steps that the laboratories have taken, this is a much broader problem than just the Department of Energy or the labs.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'broader', 'noun': 'problem'}", "trigger_type": "comparatives", "annotator": "SL", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 97.3, 23.39, 98.02, 100.0]}}
+{"uid": "505", "premise": "WILSON Well, we've got a lot more to do. I'm pleased with the initial steps that the laboratories have taken, this is a much broader problem than just the Department of Energy or the labs.", "hypothesis": "The Department of Energy or the labs are a problem.", "label": "N", "metadata": {"context1": "WILSON", "context2": "Well, we've got a lot more to do.", "target_sentence": "I'm pleased with the initial steps that the laboratories have taken, this is a much broader problem than just the Department of Energy or the labs.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'broader', 'noun': 'problem'}", "trigger_type": "comparatives", "annotator": "SL", "nli_labels": ["E", "N", "N", "E", "N"], "ratings": [99.71, 58.21, 90.59, 100.0, 93.76]}}
+{"uid": "507-neg", "premise": "Davis is a first-rate leader and Detroit will benefit from him being a Lion. Detroit also needed a linebacker from this draft. Reuben Foster isn't a significantly better player than Davis, who had a second-round grade on my board, and he was available.", "hypothesis": "Davis is a player.", "label": "E", "metadata": {"context1": "Davis is a first-rate leader and Detroit will benefit from him being a Lion.", "context2": "Detroit also needed a linebacker from this draft.", "target_sentence": "Reuben Foster isn't a significantly better player than Davis, who had a second-round grade on my board, and he was available.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'better', 'noun': 'player'}", "trigger_type": "comparatives", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 97.79, 100.0, 100.0]}}
+{"uid": "507", "premise": "Davis is a first-rate leader and Detroit will benefit from him being a Lion. Detroit also needed a linebacker from this draft. Reuben Foster is a significantly better player than Davis, who had a second-round grade on my board, and he was available.", "hypothesis": "Davis is a player.", "label": "E", "metadata": {"context1": "Davis is a first-rate leader and Detroit will benefit from him being a Lion.", "context2": "Detroit also needed a linebacker from this draft.", "target_sentence": "Reuben Foster is a significantly better player than Davis, who had a second-round grade on my board, and he was available.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'better', 'noun': 'player'}", "trigger_type": "comparatives", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 99.79, 100.0]}}
+{"uid": "51-neg", "premise": "qwq @ ( Photo-of-Charla; -D ROBERTS: But it was Charla who claimed to be the victim.", "hypothesis": "Someone claimed to be the victim.", "label": "E", "metadata": {"context1": "qwq @", "context2": "( Photo-of-Charla; -D ROBERTS:", "target_sentence": "But it was Charla who claimed to be the victim.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.79, 100.0, 99.19, 100.0]}}
+{"uid": "51", "premise": "qwq @ ( Photo-of-Charla; -D ROBERTS: But it wasn't Charla who claimed to be the victim.", "hypothesis": "Someone claimed to be the victim.", "label": "E", "metadata": {"context1": "qwq @", "context2": "( Photo-of-Charla; -D ROBERTS:", "target_sentence": "But it wasn't Charla who claimed to be the victim.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 97.25]}}
+{"uid": "516-neg", "premise": "SOFT LANDING: Wife with connections makes a job search easier Bud Selig wouldn't appear to be a better father-in-law than baseball commissioner.", "hypothesis": "The baseball commissioner is a father-in-law.", "label": "E", "metadata": {"context1": "SOFT LANDING:", "context2": "Wife with connections makes a job search easier", "target_sentence": "Bud Selig wouldn't appear to be a better father-in-law than baseball commissioner.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'better', 'noun': 'father'}", "trigger_type": "comparatives", "annotator": "SL", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [90.5, 100.0, 100.0, 72.48, 100.0]}}
+{"uid": "516", "premise": "SOFT LANDING: Wife with connections makes a job search easier Bud Selig would appear to be a better father-in-law than baseball commissioner.", "hypothesis": "The baseball commissioner is a father-in-law.", "label": "E", "metadata": {"context1": "SOFT LANDING:", "context2": "Wife with connections makes a job search easier", "target_sentence": "Bud Selig would appear to be a better father-in-law than baseball commissioner.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'better', 'noun': 'father'}", "trigger_type": "comparatives", "annotator": "SL", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [99.28, 6.68, 98.37, 100.0, 100.0]}}
+{"uid": "52-neg", "premise": "Its as fundamental as any decision that s been made that I can think of on--on--on a--on a citizens liberty in my lifetime. SCOTT-PELLEY: And it wasn't Justice Stevens who stood up and said, wait a minute, this has gone too far.", "hypothesis": "Someone stood up and said, wait a minute, this has gone too far.", "label": "E", "metadata": {"context1": "Its as fundamental as any decision that s been made that I can think of on--on--on a--on a citizens liberty in my lifetime.", "context2": "SCOTT-PELLEY:", "target_sentence": "And it wasn't Justice Stevens who stood up and said, wait a minute, this has gone too far.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 97.5, 99.51, 100.0]}}
+{"uid": "52", "premise": "Its as fundamental as any decision that s been made that I can think of on--on--on a--on a citizens liberty in my lifetime. SCOTT-PELLEY: And it was Justice Stevens who stood up and said, wait a minute, this has gone too far.", "hypothesis": "Someone stood up and said, wait a minute, this has gone too far.", "label": "E", "metadata": {"context1": "Its as fundamental as any decision that s been made that I can think of on--on--on a--on a citizens liberty in my lifetime.", "context2": "SCOTT-PELLEY:", "target_sentence": "And it was Justice Stevens who stood up and said, wait a minute, this has gone too far.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 100.0, 100.0, 90.42, 100.0]}}
+{"uid": "522-neg", "premise": "Speaker A: These are difficult, dangerous people that we're dealing with. I'm not saying this is an easy task for us. it's not a much better, hopeful outcome than what we were doing.", "hypothesis": "What we were doing is an outcome.", "label": "E", "metadata": {"context1": "These are difficult, dangerous people that we're dealing with.", "context2": "I'm not saying this is an easy task for us.", "target_sentence": "it's not a much better, hopeful outcome than what we were doing.", "speaker_context1": "COMM-JOSEPH-PONTE", "speaker_context2": "COMM-JOSEPH-PONTE", "speaker_target": "COMM-JOSEPH-PONTE", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'better', 'noun': 'outcome'}", "trigger_type": "comparatives", "annotator": "SL", "nli_labels": ["N", "N", "E", "E", "E"], "ratings": [88.89, 6.16, 100.0, 100.0, 100.0]}}
+{"uid": "522", "premise": "Speaker A: These are difficult, dangerous people that we're dealing with. I'm not saying this is an easy task for us. it's a much better, hopeful outcome than what we were doing.", "hypothesis": "What we were doing is an outcome.", "label": "N", "metadata": {"context1": "These are difficult, dangerous people that we're dealing with.", "context2": "I'm not saying this is an easy task for us.", "target_sentence": "it's a much better, hopeful outcome than what we were doing.", "speaker_context1": "COMM-JOSEPH-PONTE", "speaker_context2": "COMM-JOSEPH-PONTE", "speaker_target": "COMM-JOSEPH-PONTE", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'better', 'noun': 'outcome'}", "trigger_type": "comparatives", "annotator": "SL", "nli_labels": ["N", "N", "N", "N", "E"], "ratings": [88.52, 92.72, 61.73, 44.31, 100.0]}}
+{"uid": "524-neg", "premise": "Demps and Grover are seeking the program's first league championship in years. \"That's been the goal since my freshman year,\" Demps said. Berokoff didn't say there's no greater satisfaction than seeing his team overachieve, which, at El Modena, is often.", "hypothesis": "Seeing one's team overachieve is a source of satisfaction.", "label": "E", "metadata": {"context1": "Demps and Grover are seeking the program's first league championship in years.", "context2": "\"That's been the goal since my freshman year,\" Demps said.", "target_sentence": "Berokoff didn't say there's no greater satisfaction than seeing his team overachieve, which, at El Modena, is often.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'greater', 'noun': 'satisfaction'}", "trigger_type": "comparatives", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 97.74, 94.47]}}
+{"uid": "524", "premise": "Demps and Grover are seeking the program's first league championship in years. \"That's been the goal since my freshman year,\" Demps said. Berokoff said there's no greater satisfaction than seeing his team overachieve, which, at El Modena, is often.", "hypothesis": "Seeing one's team overachieve is a source of satisfaction.", "label": "E", "metadata": {"context1": "Demps and Grover are seeking the program's first league championship in years.", "context2": "\"That's been the goal since my freshman year,\" Demps said.", "target_sentence": "Berokoff said there's no greater satisfaction than seeing his team overachieve, which, at El Modena, is often.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'greater', 'noun': 'satisfaction'}", "trigger_type": "comparatives", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.43, 97.35, 100.0, 99.22]}}
+{"uid": "526-neg", "premise": " Jason stretched as much as the cramped dayroom would allow. \" It's not an easier problem than nanite-grown hulls.", "hypothesis": "Nanite-grown hulls are a problem.", "label": "E", "metadata": {"context1": "", "context2": "Jason stretched as much as the cramped dayroom would allow.", "target_sentence": "\" It's not an easier problem than nanite-grown hulls.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'easier', 'noun': 'problem'}", "trigger_type": "comparatives", "annotator": "SL", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [95.53, 89.89, 100.0, 88.61, 100.0]}}
+{"uid": "526", "premise": " Jason stretched as much as the cramped dayroom would allow. \" It's an easier problem than nanite-grown hulls.", "hypothesis": "Nanite-grown hulls are a problem.", "label": "E", "metadata": {"context1": "", "context2": "Jason stretched as much as the cramped dayroom would allow.", "target_sentence": "\" It's an easier problem than nanite-grown hulls.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'easier', 'noun': 'problem'}", "trigger_type": "comparatives", "annotator": "SL", "nli_labels": ["N", "E", "N", "E", "E"], "ratings": [10.38, 100.0, 93.62, 99.25, 99.79]}}
+{"uid": "53-neg", "premise": "Flashbulbs flare from every part of the auditorium as a cheer goes up. Opry visitors dash to the stage, take snapshots and go back to their seats. it wasn't Hank that started the flashbulb and screamin' thing.", "hypothesis": "Lewis Crook thinks someone started the flashbulb and screamin' thing.", "label": "N", "metadata": {"context1": "Flashbulbs flare from every part of the auditorium as a cheer goes up.", "context2": "Opry visitors dash to the stage, take snapshots and go back to their seats.", "target_sentence": "it wasn't Hank that started the flashbulb and screamin' thing.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "ZZ", "nli_labels": ["E", "N", "N", "N", "C"], "ratings": [97.45, 63.18, 50.45, 49.55, 0.66]}}
+{"uid": "53", "premise": "Flashbulbs flare from every part of the auditorium as a cheer goes up. Opry visitors dash to the stage, take snapshots and go back to their seats. Lewis Crook, the Opry's oldest member, recently recalled that \" it was Hank that started the flashbulb and screamin' thing.", "hypothesis": "Lewis Crook thinks someone started the flashbulb and screamin' thing.", "label": "E", "metadata": {"context1": "Flashbulbs flare from every part of the auditorium as a cheer goes up.", "context2": "Opry visitors dash to the stage, take snapshots and go back to their seats.", "target_sentence": "Lewis Crook, the Opry's oldest member, recently recalled that \" it was Hank that started the flashbulb and screamin' thing.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.9, 100.0, 99.16, 100.0]}}
+{"uid": "530-neg", "premise": " -- FOR playgoers, patiently sitting out summer movie releases and up to their mosquito-bitten ears in outdoor Shakespeare festivals, there is a more exciting or promising phrase in the language than \"the fall season.\"", "hypothesis": "\"The fall season. \" is a phrase in the language.", "label": "E", "metadata": {"context1": "", "context2": "--", "target_sentence": "FOR playgoers, patiently sitting out summer movie releases and up to their mosquito-bitten ears in outdoor Shakespeare festivals, there is a more exciting or promising phrase in the language than \"the fall season.\"", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'adjective': 'exciting', 'noun': 'phrase'}", "trigger_type": "comparatives", "annotator": "SL", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [99.51, 100.0, 15.82, 100.0, 100.0]}}
+{"uid": "530", "premise": " -- FOR playgoers, patiently sitting out summer movie releases and up to their mosquito-bitten ears in outdoor Shakespeare festivals, there is no more exciting or promising phrase in the language than \"the fall season.\"", "hypothesis": "\"The fall season. \" is a phrase in the language.", "label": "E", "metadata": {"context1": "", "context2": "--", "target_sentence": "FOR playgoers, patiently sitting out summer movie releases and up to their mosquito-bitten ears in outdoor Shakespeare festivals, there is no more exciting or promising phrase in the language than \"the fall season.\"", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'adjective': 'exciting', 'noun': 'phrase'}", "trigger_type": "comparatives", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.49, 96.14, 100.0, 100.0]}}
+{"uid": "531-neg", "premise": "  In the mid-1980s, as banking went mainstream, screening for AIDS wasn't a far greater concern than privacy.", "hypothesis": "Privacy was a concern.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "In the mid-1980s, as banking went mainstream, screening for AIDS wasn't a far greater concern than privacy.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'greater', 'noun': 'concern'}", "trigger_type": "comparatives", "annotator": "SL", "nli_labels": ["E", "E", "E", "N", "N"], "ratings": [86.57, 100.0, 100.0, 64.18, 95.27]}}
+{"uid": "531", "premise": "  In the mid-1980s, as banking went mainstream, screening for AIDS was a far greater concern than privacy.", "hypothesis": "Privacy was a concern.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "In the mid-1980s, as banking went mainstream, screening for AIDS was a far greater concern than privacy.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'greater', 'noun': 'concern'}", "trigger_type": "comparatives", "annotator": "SL", "nli_labels": ["N", "E", "E", "C", "E"], "ratings": [23.52, 97.79, 98.29, 0.94, 100.0]}}
+{"uid": "533-neg", "premise": "With obesity rates at epidemic levels and the increase in sedentary lifestyles, disorders associated with heart disease--such as diabetes and insulin resistance--are becoming more common. Often, these patients who are known to be at higher risk for heart disease have normal cholesterol levels. The Framingham Offspring study, for example, doesn't show that the amount of cholesterol carried in LDL particles isn't a far less important predictor of deaths than LDL-P.", "hypothesis": "LDL-P is a predictor of deaths.", "label": "E", "metadata": {"context1": "With obesity rates at epidemic levels and the increase in sedentary lifestyles, disorders associated with heart disease--such as diabetes and insulin resistance--are becoming more common.", "context2": "Often, these patients who are known to be at higher risk for heart disease have normal cholesterol levels.", "target_sentence": "The Framingham Offspring study, for example, doesn't show that the amount of cholesterol carried in LDL particles isn't a far less important predictor of deaths than LDL-P.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'important', 'noun': 'predictor'}", "trigger_type": "comparatives", "annotator": "SL", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 98.99, 82.76, 100.0, 100.0]}}
+{"uid": "533", "premise": "With obesity rates at epidemic levels and the increase in sedentary lifestyles, disorders associated with heart disease--such as diabetes and insulin resistance--are becoming more common. Often, these patients who are known to be at higher risk for heart disease have normal cholesterol levels. The Framingham Offspring study, for example, shows that the amount of cholesterol carried in LDL particles is a far less important predictor of deaths than LDL-P.", "hypothesis": "LDL-P is a predictor of deaths.", "label": "E", "metadata": {"context1": "With obesity rates at epidemic levels and the increase in sedentary lifestyles, disorders associated with heart disease--such as diabetes and insulin resistance--are becoming more common.", "context2": "Often, these patients who are known to be at higher risk for heart disease have normal cholesterol levels.", "target_sentence": "The Framingham Offspring study, for example, shows that the amount of cholesterol carried in LDL particles is a far less important predictor of deaths than LDL-P.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'important', 'noun': 'predictor'}", "trigger_type": "comparatives", "annotator": "SL", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [94.81, 93.91, 100.0, 100.0, 98.99]}}
+{"uid": "537-neg", "premise": "By far the most widely known possible consequence of STD prevention measures was a lowered risk of pregnancy. Of course, many STD prevention measures do not have this consequence, but for those that do, it seems to be very salient to these adolescents. Some evidence suggests that pregnancy may not be a far more important consideration than STDs in adolescents' condom use decisions", "hypothesis": "STDs are a consideration.", "label": "E", "metadata": {"context1": "By far the most widely known possible consequence of STD prevention measures was a lowered risk of pregnancy.", "context2": "Of course, many STD prevention measures do not have this consequence, but for those that do, it seems to be very salient to these adolescents.", "target_sentence": "Some evidence suggests that pregnancy may not be a far more important consideration than STDs in adolescents' condom use decisions", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'important', 'noun': 'consideration'}", "trigger_type": "comparatives", "annotator": "SL", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 100.0, 93.62, 100.0, 100.0]}}
+{"uid": "537", "premise": "By far the most widely known possible consequence of STD prevention measures was a lowered risk of pregnancy. Of course, many STD prevention measures do not have this consequence, but for those that do, it seems to be very salient to these adolescents. Some evidence suggests that pregnancy may be a far more important consideration than STDs in adolescents' condom use decisions", "hypothesis": "STDs are a consideration.", "label": "E", "metadata": {"context1": "By far the most widely known possible consequence of STD prevention measures was a lowered risk of pregnancy.", "context2": "Of course, many STD prevention measures do not have this consequence, but for those that do, it seems to be very salient to these adolescents.", "target_sentence": "Some evidence suggests that pregnancy may be a far more important consideration than STDs in adolescents' condom use decisions", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'important', 'noun': 'consideration'}", "trigger_type": "comparatives", "annotator": "SL", "nli_labels": ["E", "E", "C", "E", "E"], "ratings": [95.9, 100.0, 0.0, 97.98, 93.76]}}
+{"uid": "539-neg", "premise": "You see, now you've given me the first queasy feeling in the pit of my stomach here, because what I'm beginning to hear is, \" You want to have taxes? You'd better not start giving me the kind of cuts that I want to have in certain entitlement programs.", "hypothesis": "Previously, you did not give me the kind of cuts that I want to have in certain entitlement programs.", "label": "N", "metadata": {"context1": "You see, now you've given me", "context2": "the first queasy feeling in the pit of my stomach here, because what I'm beginning to hear is, \" You want to have taxes?", "target_sentence": "You'd better not start giving me the kind of cuts that I want to have in certain entitlement programs.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'start'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["N", "E", "N", "N", "E"], "ratings": [76.86, 96.77, 94.81, 2.55, 97.5]}}
+{"uid": "539", "premise": "You see, now you've given me the first queasy feeling in the pit of my stomach here, because what I'm beginning to hear is, \" You want to have taxes? You'd better start giving me the kind of cuts that I want to have in certain entitlement programs.", "hypothesis": "Previously, you did not give me the kind of cuts that I want to have in certain entitlement programs.", "label": "E", "metadata": {"context1": "You see, now you've given me", "context2": "the first queasy feeling in the pit of my stomach here, because what I'm beginning to hear is, \" You want to have taxes?", "target_sentence": "You'd better start giving me the kind of cuts that I want to have in certain entitlement programs.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'start'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 100.0, 82.09, 99.19, 93.4]}}
+{"uid": "540-neg", "premise": "After coming to Christ, in order to catch up with the kids in Sunday school, I read the Bible a lot. I learned that if you read 40 chapters per day, you could read through the entire Bible every monthor, what I did more often, through the New Testament every week. I didn't begin to see how each book of the Bible is distinctive, and also how each passage reinforces the major themes of the book in which it appears.", "hypothesis": "Previously, I hadn't seen how each book of the Bible is distinctive, and also how each passage reinforces the major themes of the book in which it appears.", "label": "E", "metadata": {"context1": "After coming to Christ, in order to catch up with the kids in Sunday school, I read the Bible a lot.", "context2": "I learned that if you read 40 chapters per day, you could read through the entire Bible every monthor, what I did more often, through the New Testament every week.", "target_sentence": "I didn't begin to see how each book of the Bible is distinctive, and also how each passage reinforces the major themes of the book in which it appears.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["N", "E", "N", "E", "E"], "ratings": [68.41, 100.0, 86.07, 95.33, 100.0]}}
+{"uid": "540", "premise": "After coming to Christ, in order to catch up with the kids in Sunday school, I read the Bible a lot. I learned that if you read 40 chapters per day, you could read through the entire Bible every monthor, what I did more often, through the New Testament every week. I began to see how each book of the Bible is distinctive, and also how each passage reinforces the major themes of the book in which it appears.", "hypothesis": "Previously, I hadn't seen how each book of the Bible is distinctive, and also how each passage reinforces the major themes of the book in which it appears.", "label": "E", "metadata": {"context1": "After coming to Christ, in order to catch up with the kids in Sunday school, I read the Bible a lot.", "context2": "I learned that if you read 40 chapters per day, you could read through the entire Bible every monthor, what I did more often, through the New Testament every week.", "target_sentence": "I began to see how each book of the Bible is distinctive, and also how each passage reinforces the major themes of the book in which it appears.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 93.4, 100.0, 92.25, 99.9]}}
+{"uid": "542-neg", "premise": "Great picture there. Well, thanks for joining us. After days of political upheaval, and as the rest of Washington prepares for the Memorial Day weekend, work didn't continue at the Capitol.", "hypothesis": "Work had been going on at the Capitol before the days of political upheaval.", "label": "E", "metadata": {"context1": "Great picture there.", "context2": "Well, thanks for joining us.", "target_sentence": "After days of political upheaval, and as the rest of Washington prepares for the Memorial Day weekend, work didn't continue at the Capitol.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'continues'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [79.18, 99.81, 99.75, 100.0, 100.0]}}
+{"uid": "542", "premise": "Great picture there. Well, thanks for joining us. After days of political upheaval, and as the rest of Washington prepares for the Memorial Day weekend, work continues at the Capitol.", "hypothesis": "Work had been going on at the Capitol before the days of political upheaval.", "label": "E", "metadata": {"context1": "Great picture there.", "context2": "Well, thanks for joining us.", "target_sentence": "After days of political upheaval, and as the rest of Washington prepares for the Memorial Day weekend, work continues at the Capitol.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'continues'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["E", "N", "C", "E", "E"], "ratings": [100.0, 88.04, 0.0, 97.6, 100.0]}}
+{"uid": "543-neg", "premise": "Tell him that I will hang five rebels for every good Englishman killed! FORM FOR MARCH! The troops don't begin to scramble into the courtyard.", "hypothesis": "The troops weren't scrambling into the courtyard before.", "label": "E", "metadata": {"context1": "Tell him that I will hang five rebels for every good Englishman killed!", "context2": "FORM FOR MARCH!", "target_sentence": "The troops don't begin to scramble into the courtyard.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'begin'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.71, 84.61, 99.06, 100.0, 98.92]}}
+{"uid": "545-neg", "premise": "But by then, Drew says, there were strains in the marriage. Mr-PETERSON: Our relationship didn't start deteriorating.", "hypothesis": "Our relationship wasn't deteriorating before.", "label": "N", "metadata": {"context1": "But by then, Drew says, there were strains in the marriage.", "context2": "Mr-PETERSON:", "target_sentence": "Our relationship didn't start deteriorating.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'started'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["N", "N", "E", "N", "E"], "ratings": [83.1, 85.35, 96.25, 82.32, 100.0]}}
+{"uid": "545", "premise": "But by then, Drew says, there were strains in the marriage. Mr-PETERSON: Our relationship started deteriorating.", "hypothesis": "Our relationship wasn't deteriorating before.", "label": "N", "metadata": {"context1": "But by then, Drew says, there were strains in the marriage.", "context2": "Mr-PETERSON:", "target_sentence": "Our relationship started deteriorating.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'started'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["N", "N", "N", "E", "N"], "ratings": [72.74, 56.58, 51.5, 98.11, 80.13]}}
+{"uid": "547-neg", "premise": " The McGill University economist in Montreal used the phrase to explain the endurance of gold as a standard of value. the ordinary people who make up the markets didn't continue to use it as the best measure of the money their government provides for them.", "hypothesis": "Previously, the ordinary people who make up the markets were using gold as the best measure of the money their government provides for them.", "label": "N", "metadata": {"context1": "", "context2": "The McGill University economist in Montreal used the phrase to explain the endurance of gold as a standard of value.", "target_sentence": "the ordinary people who make up the markets didn't continue to use it as the best measure of the money their government provides for them.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'continue'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["E", "E", "N", "N", "N"], "ratings": [98.5, 94.19, 75.72, 50.0, 63.03]}}
+{"uid": "547", "premise": " The McGill University economist in Montreal used the phrase to explain the endurance of gold as a standard of value. the ordinary people who make up the markets continue to use it as the best measure of the money their government provides for them.", "hypothesis": "Previously, the ordinary people who make up the markets were using gold as the best measure of the money their government provides for them.", "label": "E", "metadata": {"context1": "", "context2": "The McGill University economist in Montreal used the phrase to explain the endurance of gold as a standard of value.", "target_sentence": "the ordinary people who make up the markets continue to use it as the best measure of the money their government provides for them.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'continue'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [100.0, 100.0, 95.96, 97.98, 79.78]}}
+{"uid": "548-neg", "premise": "OPENS UP on the tie-lines. All the TIE-LINES SHRED. The Saipan didn't start to break free.", "hypothesis": "The Saipan was not broken free before.", "label": "E", "metadata": {"context1": "OPENS UP on the tie-lines.", "context2": "All the TIE-LINES SHRED.", "target_sentence": "The Saipan didn't start to break free.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'starts'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 100.0, 19.17, 100.0, 100.0]}}
+{"uid": "548", "premise": "OPENS UP on the tie-lines. All the TIE-LINES SHRED. The Saipan starts to break free.", "hypothesis": "The Saipan was not broken free before.", "label": "E", "metadata": {"context1": "OPENS UP on the tie-lines.", "context2": "All the TIE-LINES SHRED.", "target_sentence": "The Saipan starts to break free.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'starts'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 96.71, 98.88, 100.0]}}
+{"uid": "549-neg", "premise": " Latifah says she has experienced a \"backlash\" from actors who have said: \"' Well, damn, it ain't that many jobs, and you all taking them all. ' you can stop us from acting.", "hypothesis": "We acted in the past.", "label": "E", "metadata": {"context1": "", "context2": "Latifah says she has experienced a \"backlash\" from actors who have said: \"' Well, damn, it ain't that many jobs, and you all taking them all. '", "target_sentence": "you can stop us from acting.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'stop'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["E", "E", "N", "N", "E"], "ratings": [100.0, 99.25, 50.6, 48.5, 100.0]}}
+{"uid": "549", "premise": " Latifah says she has experienced a \"backlash\" from actors who have said: \"' Well, damn, it ain't that many jobs, and you all taking them all. ' you can't stop us from acting.", "hypothesis": "We acted in the past.", "label": "E", "metadata": {"context1": "", "context2": "Latifah says she has experienced a \"backlash\" from actors who have said: \"' Well, damn, it ain't that many jobs, and you all taking them all. '", "target_sentence": "you can't stop us from acting.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'stop'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["E", "E", "N", "N", "E"], "ratings": [97.7, 100.0, 56.43, 64.04, 95.71]}}
+{"uid": "55-neg", "premise": "All right! KEVIN NEWMAN: Well, it's just the three of us that have been hitting the road for Good Morning America's vacation series.", "hypothesis": "Someone has been hitting the road for Good Morning America's vacation series.", "label": "E", "metadata": {"context1": "All right!", "context2": "KEVIN NEWMAN:", "target_sentence": "Well, it's just the three of us that have been hitting the road for Good Morning America's vacation series.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 95.01, 100.0, 100.0]}}
+{"uid": "55", "premise": "All right! KEVIN NEWMAN: Well, it isn't just the three of us that have been hitting the road for Good Morning America's vacation series.", "hypothesis": "Someone has been hitting the road for Good Morning America's vacation series.", "label": "E", "metadata": {"context1": "All right!", "context2": "KEVIN NEWMAN:", "target_sentence": "Well, it isn't just the three of us that have been hitting the road for Good Morning America's vacation series.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 98.02, 100.0]}}
+{"uid": "550-neg", "premise": "DR-BARBARA WEBER We hadn't actually just finished studying that branch of the family, and I knew with reasonable certainty that she was unlikely to be a carrier of this gene mutation.", "hypothesis": "We had been studying that branch of the family before.", "label": "E", "metadata": {"context1": "DR-BARBARA", "context2": "WEBER", "target_sentence": "We hadn't actually just finished studying that branch of the family, and I knew with reasonable certainty that she was unlikely to be a carrier of this gene mutation.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'finished'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "N", "C"], "ratings": [100.0, 99.59, 94.54, 50.0, 0.12]}}
+{"uid": "550", "premise": "DR-BARBARA WEBER We had actually just finished studying that branch of the family, and I knew with reasonable certainty that she was unlikely to be a carrier of this gene mutation.", "hypothesis": "We had been studying that branch of the family before.", "label": "E", "metadata": {"context1": "DR-BARBARA", "context2": "WEBER", "target_sentence": "We had actually just finished studying that branch of the family, and I knew with reasonable certainty that she was unlikely to be a carrier of this gene mutation.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'finished'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 100.0, 100.0, 86.47, 100.0]}}
+{"uid": "551-neg", "premise": " Instead, it is the recognition that musical knowing within and knowing how are as relevant to all the musics we have largely disregarded as it is to those we tend to favor. We aren't beginning to apply the deepest principles of musical singularity to the wider world of music.", "hypothesis": "We didn't apply the deepest principles of musical singularity to the wider world of music before.", "label": "E", "metadata": {"context1": "", "context2": "Instead, it is the recognition that musical knowing within and knowing how are as relevant to all the musics we have largely disregarded as it is to those we tend to favor.", "target_sentence": "We aren't beginning to apply the deepest principles of musical singularity to the wider world of music.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'beginning'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["E", "N", "E", "E", "N"], "ratings": [100.0, 84.61, 99.25, 99.37, 83.1]}}
+{"uid": "551", "premise": " Instead, it is the recognition that musical knowing within and knowing how are as relevant to all the musics we have largely disregarded as it is to those we tend to favor. We are beginning to apply the deepest principles of musical singularity to the wider world of music.", "hypothesis": "We didn't apply the deepest principles of musical singularity to the wider world of music before.", "label": "E", "metadata": {"context1": "", "context2": "Instead, it is the recognition that musical knowing within and knowing how are as relevant to all the musics we have largely disregarded as it is to those we tend to favor.", "target_sentence": "We are beginning to apply the deepest principles of musical singularity to the wider world of music.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'beginning'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["E", "N", "N", "E", "E"], "ratings": [99.93, 90.59, 97.4, 97.84, 97.45]}}
+{"uid": "552-neg", "premise": "Check your routines. Is there a predictable trouble spot? Monz didn't start sending her girls to the bathroom right after breakfast.", "hypothesis": "Previously, Monz didn't send her girls to the bathroom right after breakfast.", "label": "E", "metadata": {"context1": "Check your routines.", "context2": "Is there a predictable trouble spot?", "target_sentence": "Monz didn't start sending her girls to the bathroom right after breakfast.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'started'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["N", "E", "N", "E", "E"], "ratings": [72.48, 100.0, 81.64, 100.0, 100.0]}}
+{"uid": "552", "premise": "Check your routines. Is there a predictable trouble spot? Monz started sending her girls to the bathroom right after breakfast.", "hypothesis": "Previously, Monz didn't send her girls to the bathroom right after breakfast.", "label": "E", "metadata": {"context1": "Check your routines.", "context2": "Is there a predictable trouble spot?", "target_sentence": "Monz started sending her girls to the bathroom right after breakfast.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'started'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [100.0, 100.0, 100.0, 100.0, 61.58]}}
+{"uid": "554-neg", "premise": "A fat-packed diet did little to motivate Vesta to attempt any activity other than singing on stage. And the little groove moves she performed on stage did little to burn off the calories she loaded up on night after night. When it became apparent that her career was at a crossroads, Vesta didn't continue to ignore the signs and the problem.", "hypothesis": "Vesta ignored the signs and the problem before.", "label": "E", "metadata": {"context1": "A fat-packed diet did little to motivate Vesta to attempt any activity other than singing on stage.", "context2": "And the little groove moves she performed on stage did little to burn off the calories she loaded up on night after night.", "target_sentence": "When it became apparent that her career was at a crossroads, Vesta didn't continue to ignore the signs and the problem.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'continued'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 99.28, 99.34, 87.37, 100.0]}}
+{"uid": "554", "premise": "A fat-packed diet did little to motivate Vesta to attempt any activity other than singing on stage. And the little groove moves she performed on stage did little to burn off the calories she loaded up on night after night. When it became apparent that her career was at a crossroads, Vesta continued to ignore the signs and the problem.", "hypothesis": "Vesta ignored the signs and the problem before.", "label": "E", "metadata": {"context1": "A fat-packed diet did little to motivate Vesta to attempt any activity other than singing on stage.", "context2": "And the little groove moves she performed on stage did little to burn off the calories she loaded up on night after night.", "target_sentence": "When it became apparent that her career was at a crossroads, Vesta continued to ignore the signs and the problem.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'continued'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.43, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "555-neg", "premise": "I've got to surrender! I'm supposed to tap the mat as a signal that I give up, but the floor is covered by cottage cheese, and no one can see the taps that are growing ever more frantic. I don't begin to flail.", "hypothesis": "I wasn't flailing before.", "label": "E", "metadata": {"context1": "I've got to surrender!", "context2": "I'm supposed to tap the mat as a signal that I give up, but the floor is covered by cottage cheese, and no one can see the taps that are growing ever more frantic.", "target_sentence": "I don't begin to flail.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'begin'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [99.79, 99.49, 99.9, 100.0, 54.19]}}
+{"uid": "555", "premise": "I've got to surrender! I'm supposed to tap the mat as a signal that I give up, but the floor is covered by cottage cheese, and no one can see the taps that are growing ever more frantic. I begin to flail.", "hypothesis": "I wasn't flailing before.", "label": "E", "metadata": {"context1": "I've got to surrender!", "context2": "I'm supposed to tap the mat as a signal that I give up, but the floor is covered by cottage cheese, and no one can see the taps that are growing ever more frantic.", "target_sentence": "I begin to flail.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'begin'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["N", "E", "N", "E", "E"], "ratings": [81.98, 99.73, 91.6, 100.0, 100.0]}}
+{"uid": "556-neg", "premise": "  Despite her sales figures, Katzen didn't begin to feel uncomfortable with the first two books and the level of cooking knowledge they represented.", "hypothesis": "Despite her sales figures, Katzen didn't feel uncomfortable with the first two books and the level of cooking knowledge they represented in the past.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "Despite her sales figures, Katzen didn't begin to feel uncomfortable with the first two books and the level of cooking knowledge they represented.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 98.54]}}
+{"uid": "556", "premise": "  Despite her sales figures, Katzen began to feel uncomfortable with the first two books and the level of cooking knowledge they represented.", "hypothesis": "Despite her sales figures, Katzen didn't feel uncomfortable with the first two books and the level of cooking knowledge they represented in the past.", "label": "C", "metadata": {"context1": "", "context2": "", "target_sentence": "Despite her sales figures, Katzen began to feel uncomfortable with the first two books and the level of cooking knowledge they represented.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["C", "C", "C", "C", "N"], "ratings": [0.0, 0.0, 0.0, 0.0, 2.26]}}
+{"uid": "557-neg", "premise": " Or, perhaps more likely, MOA's free-floaters may have actually been run-of-the-mill giant planets bound to their stars, albeit in very wide orbits. Lin and others didn't begin considering more exotic ideas.", "hypothesis": "Lin and others didn't consider more exotic ideas in the past.", "label": "E", "metadata": {"context1": "", "context2": "Or, perhaps more likely, MOA's free-floaters may have actually been run-of-the-mill giant planets bound to their stars, albeit in very wide orbits.", "target_sentence": "Lin and others didn't begin considering more exotic ideas.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["N", "E", "N", "E", "E"], "ratings": [52.7, 98.65, 64.47, 100.0, 100.0]}}
+{"uid": "557", "premise": " Or, perhaps more likely, MOA's free-floaters may have actually been run-of-the-mill giant planets bound to their stars, albeit in very wide orbits. Lin and others began considering more exotic ideas.", "hypothesis": "Lin and others didn't consider more exotic ideas in the past.", "label": "N", "metadata": {"context1": "", "context2": "Or, perhaps more likely, MOA's free-floaters may have actually been run-of-the-mill giant planets bound to their stars, albeit in very wide orbits.", "target_sentence": "Lin and others began considering more exotic ideas.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["E", "N", "N", "N", "C"], "ratings": [100.0, 37.84, 63.61, 2.26, 0.0]}}
+{"uid": "56-neg", "premise": "It's partially obscured by the fog. But when the weather changes, the fog will clear. In New Delhi, India, it isn't smog that hangs over the city.", "hypothesis": "Something hangs over the city in New Delhi, India.", "label": "E", "metadata": {"context1": "It's partially obscured by the fog.", "context2": "But when the weather changes, the fog will clear.", "target_sentence": "In New Delhi, India, it isn't smog that hangs over the city.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.57, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "56", "premise": "It's partially obscured by the fog. But when the weather changes, the fog will clear. In New Delhi, India, it is smog that hangs over the city.", "hypothesis": "Something hangs over the city in New Delhi, India.", "label": "E", "metadata": {"context1": "It's partially obscured by the fog.", "context2": "But when the weather changes, the fog will clear.", "target_sentence": "In New Delhi, India, it is smog that hangs over the city.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [96.98, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "560-neg", "premise": "\"We started a couple blocks from here at a plaza, that is no longer there, in 1970,\" Pat Rosefsky said. \" We had toys, kitchen appliances. we didn't start selling johnboats.", "hypothesis": "We didn't sell johnboats before.", "label": "E", "metadata": {"context1": "\"We started a couple blocks from here at a plaza, that is no longer there, in 1970,\" Pat Rosefsky said.", "context2": "\" We had toys, kitchen appliances.", "target_sentence": "we didn't start selling johnboats.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'started'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.25, 98.92, 99.79, 99.66, 98.29]}}
+{"uid": "560", "premise": "\"We started a couple blocks from here at a plaza, that is no longer there, in 1970,\" Pat Rosefsky said. \" We had toys, kitchen appliances. we started selling johnboats.", "hypothesis": "We didn't sell johnboats before.", "label": "E", "metadata": {"context1": "\"We started a couple blocks from here at a plaza, that is no longer there, in 1970,\" Pat Rosefsky said.", "context2": "\" We had toys, kitchen appliances.", "target_sentence": "we started selling johnboats.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'started'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["C", "E", "E", "E", "N"], "ratings": [0.31, 100.0, 97.74, 100.0, 90.93]}}
+{"uid": "561-neg", "premise": "\"Look at me!\"  I didn't stop pushing the buttons.", "hypothesis": "I had been pushing the buttons before.", "label": "E", "metadata": {"context1": "\"Look at me!\"", "context2": "", "target_sentence": "I didn't stop pushing the buttons.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'stopped'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [96.98, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "561", "premise": "\"Look at me!\"  I stopped pushing the buttons.", "hypothesis": "I had been pushing the buttons before.", "label": "E", "metadata": {"context1": "\"Look at me!\"", "context2": "", "target_sentence": "I stopped pushing the buttons.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'stopped'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.9, 100.0, 99.71]}}
+{"uid": "564", "premise": "So it's an interesting plot, and I'm curious how you came up with it ALDRIN Well, John and I initially started writing something about Mars.", "hypothesis": "John and I didn't write anything about Mars before.", "label": "N", "metadata": {"context1": "So it's an interesting plot, and", "context2": "I'm curious how you came up with it ALDRIN", "target_sentence": "Well, John and I initially started writing something about Mars.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'started'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["N", "C", "N", "N", "N"], "ratings": [60.71, 0.84, 48.5, 59.39, 70.06]}}
+{"uid": "565-neg", "premise": "Everyone! Now! Soldiers aren't beginning to get it..", "hypothesis": "Soldiers didn't get it before.", "label": "N", "metadata": {"context1": "Everyone!", "context2": "Now!", "target_sentence": "Soldiers aren't beginning to get it..", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'beginning'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["N", "N", "N", "N", "E"], "ratings": [83.64, 95.27, 74.7, 70.74, 100.0]}}
+{"uid": "565", "premise": "Everyone! Now! Soldiers are beginning to get it..", "hypothesis": "Soldiers didn't get it before.", "label": "E", "metadata": {"context1": "Everyone!", "context2": "Now!", "target_sentence": "Soldiers are beginning to get it..", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'beginning'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [99.4, 97.88, 85.97, 100.0, 93.17]}}
+{"uid": "566-neg", "premise": "Prior to his surgery, M's patient had been an alcoholic, a wife abuser and had been impotent for almost 20 years. After his cardiac arrest and resuscitation and the loss of 20 years of memory, he had forgotten all these things about himself. He hadn't stopped drinking.", "hypothesis": "He drank in the past.", "label": "E", "metadata": {"context1": "Prior to his surgery, M's patient had been an alcoholic, a wife abuser and had been impotent for almost 20 years.", "context2": "After his cardiac arrest and resuscitation and the loss of 20 years of memory, he had forgotten all these things about himself.", "target_sentence": "He hadn't stopped drinking.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'stopped'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "566", "premise": "Prior to his surgery, M's patient had been an alcoholic, a wife abuser and had been impotent for almost 20 years. After his cardiac arrest and resuscitation and the loss of 20 years of memory, he had forgotten all these things about himself. He had stopped drinking.", "hypothesis": "He drank in the past.", "label": "E", "metadata": {"context1": "Prior to his surgery, M's patient had been an alcoholic, a wife abuser and had been impotent for almost 20 years.", "context2": "After his cardiac arrest and resuscitation and the loss of 20 years of memory, he had forgotten all these things about himself.", "target_sentence": "He had stopped drinking.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'stopped'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.57, 100.0, 100.0]}}
+{"uid": "567-neg", "premise": "The result may be further economic disparities and even \"food wars.\" World grain and soybean prices more than doubled between 2007 and mid-2008. some exporting countries didn't begin to restrict grain shipments in an effort to limit food price inflation at home.", "hypothesis": "Some exporting countries didn't restrict grain shipments before the prices doubled in 2007-2008.", "label": "N", "metadata": {"context1": "The result may be further economic disparities and even \"food wars.\"", "context2": "World grain and soybean prices more than doubled between 2007 and mid-2008.", "target_sentence": "some exporting countries didn't begin to restrict grain shipments in an effort to limit food price inflation at home.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["N", "E", "N", "N", "N"], "ratings": [79.18, 97.4, 68.96, 94.26, 67.71]}}
+{"uid": "567", "premise": "The result may be further economic disparities and even \"food wars.\" World grain and soybean prices more than doubled between 2007 and mid-2008. some exporting countries began to restrict grain shipments in an effort to limit food price inflation at home.", "hypothesis": "Some exporting countries didn't restrict grain shipments before the prices doubled in 2007-2008.", "label": "N", "metadata": {"context1": "The result may be further economic disparities and even \"food wars.\"", "context2": "World grain and soybean prices more than doubled between 2007 and mid-2008.", "target_sentence": "some exporting countries began to restrict grain shipments in an effort to limit food price inflation at home.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["N", "N", "N", "N", "E"], "ratings": [80.95, 70.74, 93.25, 78.82, 100.0]}}
+{"uid": "568-neg", "premise": "NIGHT There's cereal bowls in the sink, beer bottles on the table, And a stack of fire department supplies in the corner. Brian doesn't begin looking through them.", "hypothesis": "Brian wasn't looking through them before then.", "label": "E", "metadata": {"context1": "NIGHT", "context2": "There's cereal bowls in the sink, beer bottles on the table, And a stack of fire department supplies in the corner.", "target_sentence": "Brian doesn't begin looking through them.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'begins'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [98.24, 99.49, 99.75, 100.0, 100.0]}}
+{"uid": "568", "premise": "NIGHT There's cereal bowls in the sink, beer bottles on the table, And a stack of fire department supplies in the corner. Brian begins looking through them.", "hypothesis": "Brian wasn't looking through them before then.", "label": "N", "metadata": {"context1": "NIGHT", "context2": "There's cereal bowls in the sink, beer bottles on the table, And a stack of fire department supplies in the corner.", "target_sentence": "Brian begins looking through them.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'begins'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["E", "N", "N", "E", "N"], "ratings": [97.25, 84.29, 89.89, 100.0, 93.47]}}
+{"uid": "569-neg", "premise": "voice-over Micki wrote to the friend she had not seen since age 12, to find out how Sonia's life had taken such a disastrous turn. Sonia didn't begin writing back.", "hypothesis": "Sonia didn't write back in the past.", "label": "E", "metadata": {"context1": "voice-over", "context2": "Micki wrote to the friend she had not seen since age 12, to find out how Sonia's life had taken such a disastrous turn.", "target_sentence": "Sonia didn't begin writing back.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["E", "N", "N", "E", "E"], "ratings": [100.0, 78.7, 94.61, 100.0, 98.07]}}
+{"uid": "569", "premise": "voice-over Micki wrote to the friend she had not seen since age 12, to find out how Sonia's life had taken such a disastrous turn. Sonia began writing back.", "hypothesis": "Sonia didn't write back in the past.", "label": "N", "metadata": {"context1": "voice-over", "context2": "Micki wrote to the friend she had not seen since age 12, to find out how Sonia's life had taken such a disastrous turn.", "target_sentence": "Sonia began writing back.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "SL", "nli_labels": ["N", "E", "N", "N", "E"], "ratings": [35.96, 95.21, 90.42, 42.98, 100.0]}}
+{"uid": "572-neg", "premise": "I laid my hand on the rope that bound him to the pack. The strands of hemp uncoiled like snakes. I had before looked closely to see what happened when I touched a made thing.", "hypothesis": "Something happened when I touched a made thing.", "label": "E", "metadata": {"context1": "I laid my hand on the rope that bound him to the pack.", "context2": "The strands of hemp uncoiled like snakes.", "target_sentence": "I had before looked closely to see what happened when I touched a made thing.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'see', 'embedded_question': 'what happened when I touched a made thing'}", "trigger_type": "embedded_question", "annotator": "SL", "nli_labels": ["E", "E", "N", "E", "N"], "ratings": [100.0, 95.14, 77.1, 93.4, 82.54]}}
+{"uid": "572", "premise": "I laid my hand on the rope that bound him to the pack. The strands of hemp uncoiled like snakes. I had never looked closely to see what happened when I touched a made thing.", "hypothesis": "Something happened when I touched a made thing.", "label": "E", "metadata": {"context1": "I laid my hand on the rope that bound him to the pack.", "context2": "The strands of hemp uncoiled like snakes.", "target_sentence": "I had never looked closely to see what happened when I touched a made thing.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'see', 'embedded_question': 'what happened when I touched a made thing'}", "trigger_type": "embedded_question", "annotator": "SL", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 99.9, 99.85, 49.1, 100.0]}}
+{"uid": "573-neg", "premise": "  The night before, the investigator's wife hadn't asked why this case vexed him so.", "hypothesis": "This case vexed the investigator somehow.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "The night before, the investigator's wife hadn't asked why this case vexed him so.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'asked', 'embedded_question': 'why this case vexed him so'}", "trigger_type": "embedded_question", "annotator": "SL", "nli_labels": ["E", "C", "E", "E", "E"], "ratings": [98.73, 1.46, 99.19, 100.0, 100.0]}}
+{"uid": "573", "premise": "  The night before, the investigator's wife had asked why this case vexed him so.", "hypothesis": "This case vexed the investigator somehow.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "The night before, the investigator's wife had asked why this case vexed him so.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'asked', 'embedded_question': 'why this case vexed him so'}", "trigger_type": "embedded_question", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.19, 98.84, 100.0, 99.28]}}
+{"uid": "575-neg", "premise": "The first is to identify who were Basil's specific opponents. This is work that has been done before, but it needs refining. we can't ascertain what polemical categories emerge as being operative during this period.", "hypothesis": "Some polemical categories emerge as being operative during this period.", "label": "E", "metadata": {"context1": "The first is to identify who were Basil's specific opponents.", "context2": "This is work that has been done before, but it needs refining.", "target_sentence": "we can't ascertain what polemical categories emerge as being operative during this period.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'ascertain', 'embedded_question': 'what polemical categories emerge as being operative during this period'}", "trigger_type": "embedded_question", "annotator": "SL", "nli_labels": ["E", "N", "E", "C", "E"], "ratings": [100.0, 72.21, 93.84, 1.23, 100.0]}}
+{"uid": "575", "premise": "The first is to identify who were Basil's specific opponents. This is work that has been done before, but it needs refining. we can ascertain what polemical categories emerge as being operative during this period.", "hypothesis": "Some polemical categories emerge as being operative during this period.", "label": "E", "metadata": {"context1": "The first is to identify who were Basil's specific opponents.", "context2": "This is work that has been done before, but it needs refining.", "target_sentence": "we can ascertain what polemical categories emerge as being operative during this period.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'ascertain', 'embedded_question': 'what polemical categories emerge as being operative during this period'}", "trigger_type": "embedded_question", "annotator": "SL", "nli_labels": ["E", "E", "N", "N", "E"], "ratings": [100.0, 98.02, 92.48, 90.42, 100.0]}}
+{"uid": "577-neg", "premise": "Peter Fenn, thank you. Governor Gilmore. We won't find out how the politicians who run Washington, D.C., are playing politics --", "hypothesis": "The politicians who run Washington, D.C., are playing politics somehow.", "label": "E", "metadata": {"context1": "Peter Fenn, thank you.", "context2": "Governor Gilmore.", "target_sentence": "We won't find out how the politicians who run Washington, D.C., are playing politics --", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'find', 'embedded_question': 'how the politicians who run Washington , D.C. , are playing politics'}", "trigger_type": "embedded_question", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.58, 100.0, 99.64, 100.0, 100.0]}}
+{"uid": "577", "premise": "Peter Fenn, thank you. Governor Gilmore. We'll find out how the politicians who run Washington, D.C., are playing politics --", "hypothesis": "The politicians who run Washington, D.C., are playing politics somehow.", "label": "E", "metadata": {"context1": "Peter Fenn, thank you.", "context2": "Governor Gilmore.", "target_sentence": "We'll find out how the politicians who run Washington, D.C., are playing politics --", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'find', 'embedded_question': 'how the politicians who run Washington , D.C. , are playing politics'}", "trigger_type": "embedded_question", "annotator": "SL", "nli_labels": ["N", "E", "N", "E", "E"], "ratings": [91.35, 99.93, 76.48, 98.11, 97.09]}}
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+{"uid": "578", "premise": "The caravan, always moving on, travels light because of what it leaves behind. Meanwhile, undergraduates have become aware of this turmoil surrounding them in classrooms, hallways, and coffee lounges. They see what is happening to students only a few years older than themselves--the graduate students they encounter as teaching assistants, freshman instructors, or \" acting assistant professors.", "hypothesis": "Something is happening to students only a few years older than themselves.", "label": "E", "metadata": {"context1": "The caravan, always moving on, travels light because of what it leaves behind.", "context2": "Meanwhile, undergraduates have become aware of this turmoil surrounding them in classrooms, hallways, and coffee lounges.", "target_sentence": "They see what is happening to students only a few years older than themselves--the graduate students they encounter as teaching assistants, freshman instructors, or \" acting assistant professors.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'see', 'embedded_question': 'what is happening to students only a few years older than themselves'}", "trigger_type": "embedded_question", "annotator": "SL", "nli_labels": ["N", "E", "N", "E", "E"], "ratings": [90.42, 100.0, 90.24, 100.0, 100.0]}}
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+{"uid": "586-neg", "premise": "The stranger did. \" My people have had this way of sharing memories for many thousand of your years. We acquired it from an even more ancient race, and fully understand how it does what it does.", "hypothesis": "It does what it does somehow.", "label": "E", "metadata": {"context1": "The stranger did.", "context2": "\" My people have had this way of sharing memories for many thousand of your years.", "target_sentence": "We acquired it from an even more ancient race, and fully understand how it does what it does.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'understand', 'embedded_question': 'how it does what it does'}", "trigger_type": "embedded_question", "annotator": "SL", "nli_labels": ["E", "E", "C", "N", "E"], "ratings": [100.0, 99.25, 0.0, 83.43, 100.0]}}
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+{"uid": "591-neg", "premise": "It's what we're good at; we're not good at organizing millions of people.  The Yes Men haven't realized what Abbie Hoffman, the godfather of the modem political put-on, figured out long ago.", "hypothesis": "The godfather of the modem figured out something long ago.", "label": "E", "metadata": {"context1": "It's what we're good at; we're not good at organizing millions of people.", "context2": "", "target_sentence": "The Yes Men haven't realized what Abbie Hoffman, the godfather of the modem political put-on, figured out long ago.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'realized', 'embedded_question': 'what Abbie Hoffman , the godfather of the modem political put - on , figured out long ago'}", "trigger_type": "embedded_question", "annotator": "SL", "nli_labels": ["C", "E", "E", "E", "E"], "ratings": [1.76, 100.0, 95.21, 100.0, 99.91]}}
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+{"uid": "592-neg", "premise": "CALLER Hi, how are you? You didn't ask earlier why this young womans death was nt covered.", "hypothesis": "This young womans death wasn't covered for some reason.", "label": "E", "metadata": {"context1": "CALLER", "context2": "Hi, how are you?", "target_sentence": "You didn't ask earlier why this young womans death was nt covered.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'asked', 'embedded_question': 'why this young womans death was nt covered'}", "trigger_type": "embedded_question", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.77, 100.0, 98.62]}}
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+{"uid": "605", "premise": "\"We are praying for the poor people to have houses like us,\" he said. \" But everything belongs to God. God knows better who should be given property and who shouldn't.", "hypothesis": "Someone should be given property and others shouldn't.", "label": "N", "metadata": {"context1": "\"We are praying for the poor people to have houses like us,\" he said.", "context2": "\" But everything belongs to God.", "target_sentence": "God knows better who should be given property and who shouldn't.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'knows', 'embedded_question': \"who should be given property and who should n't\"}", "trigger_type": "embedded_question", "annotator": "SL", "nli_labels": ["C", "N", "N", "N", "N"], "ratings": [0.0, 61.44, 86.97, 46.55, 59.53]}}
+{"uid": "607-neg", "premise": " All the debate can finally be laid to rest. We don't know what happened to Jar Jar Binks after Revenge of the Sith, and what he's been doing since Return of the Jedi.", "hypothesis": "Something happened to Jar Jar Binks after Revenge of the Sith, and he's been doing something since Return of the Jedi.", "label": "E", "metadata": {"context1": "", "context2": "All the debate can finally be laid to rest.", "target_sentence": "We don't know what happened to Jar Jar Binks after Revenge of the Sith, and what he's been doing since Return of the Jedi.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': 'what happened to Jar Jar Binks after Revenge of the Sith'}", "trigger_type": "embedded_question", "annotator": "SL", "nli_labels": ["N", "E", "E", "N", "E"], "ratings": [78.21, 100.0, 100.0, 19.52, 100.0]}}
+{"uid": "607", "premise": " All the debate can finally be laid to rest. We know what happened to Jar Jar Binks after Revenge of the Sith, and what he's been doing since Return of the Jedi.", "hypothesis": "Something happened to Jar Jar Binks after Revenge of the Sith, and he's been doing something since Return of the Jedi.", "label": "E", "metadata": {"context1": "", "context2": "All the debate can finally be laid to rest.", "target_sentence": "We know what happened to Jar Jar Binks after Revenge of the Sith, and what he's been doing since Return of the Jedi.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': 'what happened to Jar Jar Binks after Revenge of the Sith'}", "trigger_type": "embedded_question", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.87, 100.0, 100.0, 96.31]}}
+{"uid": "608-neg", "premise": "The large wooly ram is being ornery today, and Bob is worried that he might bite me, he says.  Bob doesn't explain how they use the goats' milk and sell goat and lamb meat and wool.", "hypothesis": "They use the goats' milk and sell goat and lamb meat and wool somehow.", "label": "E", "metadata": {"context1": "The large wooly ram is being ornery today, and Bob is worried that he might bite me, he says.", "context2": "", "target_sentence": "Bob doesn't explain how they use the goats' milk and sell goat and lamb meat and wool.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'explains', 'embedded_question': \"how they use the goats ' milk and sell goat and lamb meat and wool\"}", "trigger_type": "embedded_question", "annotator": "SL", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 74.83, 100.0, 98.58, 100.0]}}
+{"uid": "608", "premise": "The large wooly ram is being ornery today, and Bob is worried that he might bite me, he says.  Bob explains how they use the goats' milk and sell goat and lamb meat and wool.", "hypothesis": "They use the goats' milk and sell goat and lamb meat and wool somehow.", "label": "E", "metadata": {"context1": "The large wooly ram is being ornery today, and Bob is worried that he might bite me, he says.", "context2": "", "target_sentence": "Bob explains how they use the goats' milk and sell goat and lamb meat and wool.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'explains', 'embedded_question': \"how they use the goats ' milk and sell goat and lamb meat and wool\"}", "trigger_type": "embedded_question", "annotator": "SL", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 93.76, 75.34, 100.0, 100.0]}}
+{"uid": "612-neg", "premise": "  Well, in fact, you don't know what her advice was...", "hypothesis": "Her advice was something.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "Well, in fact, you don't know what her advice was...", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': 'what her advice was ...'}", "trigger_type": "embedded_question", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.28, 100.0, 97.19, 100.0, 100.0]}}
+{"uid": "612", "premise": "  Well, in fact, you know what her advice was...", "hypothesis": "Her advice was something.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "Well, in fact, you know what her advice was...", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': 'what her advice was ...'}", "trigger_type": "embedded_question", "annotator": "SL", "nli_labels": ["E", "E", "N", "N", "E"], "ratings": [100.0, 100.0, 65.04, 59.09, 92.72]}}
+{"uid": "613-neg", "premise": "So here is--he imagine a generation X person watching this president go out and curry favor with seasoned citizens, yet this is a president which has sought common ground with the youth in this country, with the young. The president isn't trying to say that the younger people have more in common with him than they'll ever have in common with Bob Dole.", "hypothesis": "The younger people have more in common with the president than they'll ever have in common with Bob Dole.", "label": "N", "metadata": {"context1": "So here is--he", "context2": "imagine a generation X person watching this president go out and curry favor with seasoned citizens, yet this is a president which has sought common ground with the youth in this country, with the young.", "target_sentence": "The president isn't trying to say that the younger people have more in common with him than they'll ever have in common with Bob Dole.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'say', 'embedded_clause': \"that -- or , he 's trying to say that they have more in common with him than they 'll ever have in common with Bob Dole\"}", "trigger_type": "clause_embedding_predicates", "annotator": "SL", "nli_labels": ["N", "E", "E", "N", "N"], "ratings": [14.45, 100.0, 87.27, 90.76, 50.75]}}
+{"uid": "613", "premise": "So here is--he imagine a generation X person watching this president go out and curry favor with seasoned citizens, yet this is a president which has sought common ground with the youth in this country, with the young. The president's trying to say that the younger people have more in common with him than they'll ever have in common with Bob Dole.", "hypothesis": "The younger people have more in common with the president than they'll ever have in common with Bob Dole.", "label": "N", "metadata": {"context1": "So here is--he", "context2": "imagine a generation X person watching this president go out and curry favor with seasoned citizens, yet this is a president which has sought common ground with the youth in this country, with the young.", "target_sentence": "The president's trying to say that the younger people have more in common with him than they'll ever have in common with Bob Dole.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'say', 'embedded_clause': \"that -- or , he 's trying to say that they have more in common with him than they 'll ever have in common with Bob Dole\"}", "trigger_type": "clause_embedding_predicates", "annotator": "SL", "nli_labels": ["N", "N", "E", "N", "N"], "ratings": [49.1, 80.72, 100.0, 79.78, 59.53]}}
+{"uid": "615-neg", "premise": " Archeologist Ivor Noel Hume drew the same conclusion back in the early' 90s, when he uncovered on Roanoke Island what he called a science workshop, including fragments of a crucible and evidence of metalworking. Historical records didn't report that Joachim Gans, a metallurgist, and other scientists set up shop at the site during the first Raleigh-sponsored expedition to the area, in 1585.", "hypothesis": "Joachim Gans, a metallurgist, and other scientists set up shop at the site during the first Raleigh-sponsored expedition to the area, in 1585.", "label": "E", "metadata": {"context1": "", "context2": "Archeologist Ivor Noel Hume drew the same conclusion back in the early' 90s, when he uncovered on Roanoke Island what he called a science workshop, including fragments of a crucible and evidence of metalworking.", "target_sentence": "Historical records didn't report that Joachim Gans, a metallurgist, and other scientists set up shop at the site during the first Raleigh-sponsored expedition to the area, in 1585.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'report', 'embedded_clause': 'that Joachim Gans , a metallurgist , and other scientists set up shop at the site during the first Raleigh - sponsored expedition to the area , in 1585'}", "trigger_type": "clause_embedding_predicates", "annotator": "SL", "nli_labels": ["N", "E", "N", "E", "E"], "ratings": [97.09, 100.0, 24.4, 100.0, 100.0]}}
+{"uid": "615", "premise": " Archeologist Ivor Noel Hume drew the same conclusion back in the early' 90s, when he uncovered on Roanoke Island what he called a science workshop, including fragments of a crucible and evidence of metalworking. Historical records report that Joachim Gans, a metallurgist, and other scientists set up shop at the site during the first Raleigh-sponsored expedition to the area, in 1585.", "hypothesis": "Joachim Gans, a metallurgist, and other scientists set up shop at the site during the first Raleigh-sponsored expedition to the area, in 1585.", "label": "E", "metadata": {"context1": "", "context2": "Archeologist Ivor Noel Hume drew the same conclusion back in the early' 90s, when he uncovered on Roanoke Island what he called a science workshop, including fragments of a crucible and evidence of metalworking.", "target_sentence": "Historical records report that Joachim Gans, a metallurgist, and other scientists set up shop at the site during the first Raleigh-sponsored expedition to the area, in 1585.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'report', 'embedded_clause': 'that Joachim Gans , a metallurgist , and other scientists set up shop at the site during the first Raleigh - sponsored expedition to the area , in 1585'}", "trigger_type": "clause_embedding_predicates", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 93.98, 99.73]}}
+{"uid": "616-neg", "premise": "Two months earlier, Mattel rescinded its $5.2 billion offer to buy Hasbro following Hasbro's insistence the deal would never clear antitrust hurdles.  Responding to criticisms that regulators have gone overboard in scrutinizing deals, Baer didn't say nothing has changed.", "hypothesis": "Nothing has changed.", "label": "C", "metadata": {"context1": "Two months earlier, Mattel rescinded its $5.2 billion offer to buy Hasbro following Hasbro's insistence the deal would never clear antitrust hurdles.", "context2": "", "target_sentence": "Responding to criticisms that regulators have gone overboard in scrutinizing deals, Baer didn't say nothing has changed.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'says', 'embedded_clause': 'nothing has changed'}", "trigger_type": "clause_embedding_predicates", "annotator": "SL", "nli_labels": ["N", "C", "N", "C", "C"], "ratings": [11.48, 0.25, 53.15, 0.02, 1.12]}}
+{"uid": "616", "premise": "Two months earlier, Mattel rescinded its $5.2 billion offer to buy Hasbro following Hasbro's insistence the deal would never clear antitrust hurdles.  Responding to criticisms that regulators have gone overboard in scrutinizing deals, Baer says nothing has changed.", "hypothesis": "Nothing has changed.", "label": "E", "metadata": {"context1": "Two months earlier, Mattel rescinded its $5.2 billion offer to buy Hasbro following Hasbro's insistence the deal would never clear antitrust hurdles.", "context2": "", "target_sentence": "Responding to criticisms that regulators have gone overboard in scrutinizing deals, Baer says nothing has changed.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'says', 'embedded_clause': 'nothing has changed'}", "trigger_type": "clause_embedding_predicates", "annotator": "SL", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 67.71, 96.2, 99.28, 100.0]}}
+{"uid": "621", "premise": "YLAN MUI: Well, I think that there is a role that overdraft plays for some customers.", "hypothesis": "There is a role that overdraft plays for some customers.", "label": "E", "metadata": {"context1": "YLAN", "context2": "MUI:", "target_sentence": "Well, I think that there is a role that overdraft plays for some customers.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': 'that there certainly is a role that overdraft plays for some customers'}", "trigger_type": "clause_embedding_predicates", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 90.59, 100.0, 100.0, 99.59]}}
+{"uid": "622-neg", "premise": "So because of those kinds of situations, if I were white, I would not to really get into it either. We don't know-there's no consensus on blackness. So I don't think that's really where we get into these kinds of problems. CHIDEYA", "hypothesis": "That's really where we get into these kinds of problems.", "label": "C", "metadata": {"context1": "So because of those kinds of situations, if I were white, I would not to really get into it either.", "context2": "We don't know-there's no consensus on blackness.", "target_sentence": "So I don't think that's really where we get into these kinds of problems. CHIDEYA", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': \"that 's really where we get into these kinds of problems\"}", "trigger_type": "clause_embedding_predicates", "annotator": "SL", "nli_labels": ["C", "N", "C", "C", "N"], "ratings": [1.05, 15.6, 0.0, 0.0, 21.67]}}
+{"uid": "622", "premise": "So because of those kinds of situations, if I were white, I would not to really get into it either. We don't know-there's no consensus on blackness. So I think that's really where we get into these kinds of problems. CHIDEYA", "hypothesis": "That's really where we get into these kinds of problems.", "label": "E", "metadata": {"context1": "So because of those kinds of situations, if I were white, I would not to really get into it either.", "context2": "We don't know-there's no consensus on blackness.", "target_sentence": "So I think that's really where we get into these kinds of problems. CHIDEYA", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': \"that 's really where we get into these kinds of problems\"}", "trigger_type": "clause_embedding_predicates", "annotator": "SL", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 100.0, 54.79, 100.0, 99.25]}}
+{"uid": "623-neg", "premise": "Speaker B: 52:53): He had a theory and he was looking somehow to substantiate that theory.\nSpeaker A: 52:57): The original pathologist, the original coroner didn't say that there was insufficient evidence to find the homicide.", "hypothesis": "There was insufficient evidence to find the homicide.", "label": "N", "metadata": {"context1": "52:53): He had a theory and he was looking somehow to substantiate that theory.", "context2": "52:57):", "target_sentence": "The original pathologist, the original coroner didn't say that there was insufficient evidence to find the homicide.", "speaker_context1": "DR-SHAKU-TEAS- ( in-", "speaker_context2": "JON-LOEVY- ( 10", "speaker_target": "JON-LOEVY- ( 10", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'said', 'embedded_clause': 'that there was insufficient evidence to find the homicide'}", "trigger_type": "clause_embedding_predicates", "annotator": "SL", "nli_labels": ["N", "C", "N", "C", "N"], "ratings": [22.77, 0.25, 2.81, 1.59, 50.3]}}
+{"uid": "623", "premise": "Speaker B: 52:53): He had a theory and he was looking somehow to substantiate that theory.\nSpeaker A: 52:57): The original pathologist, the original coroner said that there was insufficient evidence to find the homicide.", "hypothesis": "There was insufficient evidence to find the homicide.", "label": "E", "metadata": {"context1": "52:53): He had a theory and he was looking somehow to substantiate that theory.", "context2": "52:57):", "target_sentence": "The original pathologist, the original coroner said that there was insufficient evidence to find the homicide.", "speaker_context1": "DR-SHAKU-TEAS- ( in-", "speaker_context2": "JON-LOEVY- ( 10", "speaker_target": "JON-LOEVY- ( 10", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'said', 'embedded_clause': 'that there was insufficient evidence to find the homicide'}", "trigger_type": "clause_embedding_predicates", "annotator": "SL", "nli_labels": ["E", "N", "N", "E", "E"], "ratings": [99.46, 94.94, 81.86, 100.0, 100.0]}}
+{"uid": "626-neg", "premise": "Sonia considers herself \" good at languages. \" She has an ear for them. In Spain people don't think Sonia is Italian.", "hypothesis": "Sonia is Italian.", "label": "N", "metadata": {"context1": "Sonia considers herself \" good at languages.", "context2": "\" She has an ear for them.", "target_sentence": "In Spain people don't think Sonia is Italian.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': 'she is Italian'}", "trigger_type": "clause_embedding_predicates", "annotator": "SL", "nli_labels": ["N", "N", "N", "E", "E"], "ratings": [84.18, 72.61, 89.89, 95.77, 98.88]}}
+{"uid": "626", "premise": "Sonia considers herself \" good at languages. \" She has an ear for them. In Spain people think Sonia is Italian.", "hypothesis": "Sonia is Italian.", "label": "N", "metadata": {"context1": "Sonia considers herself \" good at languages.", "context2": "\" She has an ear for them.", "target_sentence": "In Spain people think Sonia is Italian.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': 'she is Italian'}", "trigger_type": "clause_embedding_predicates", "annotator": "SL", "nli_labels": ["N", "N", "C", "C", "N"], "ratings": [5.74, 19.28, 0.0, 0.12, 20.22]}}
+{"uid": "63-neg", "premise": " His large family and the fact that his children are home-schooled have become a touchstone for his candidacy, confirming to social conservatives that he is one of them. Santorum and his aides insist It isn't the media that focuses on social issues, but the candidate spent an hour Saturday lecturing to a group of about 1,000 people in a church auditorium in Hixon, Tenn., about the dangers of a feel-good culture.", "hypothesis": "something focuses on social issues", "label": "E", "metadata": {"context1": "", "context2": "His large family and the fact that his children are home-schooled have become a touchstone for his candidacy, confirming to social conservatives that he is one of them.", "target_sentence": "Santorum and his aides insist It isn't the media that focuses on social issues, but the candidate spent an hour Saturday lecturing to a group of about 1,000 people in a church auditorium in Hixon, Tenn., about the dangers of a feel-good culture.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 96.14, 100.0]}}
+{"uid": "63", "premise": " His large family and the fact that his children are home-schooled have become a touchstone for his candidacy, confirming to social conservatives that he is one of them. Santorum and his aides insist it is the media that focuses on social issues, but the candidate spent an hour Saturday lecturing to a group of about 1,000 people in a church auditorium in Hixon, Tenn., about the dangers of a feel-good culture.", "hypothesis": "something focuses on social issues", "label": "E", "metadata": {"context1": "", "context2": "His large family and the fact that his children are home-schooled have become a touchstone for his candidacy, confirming to social conservatives that he is one of them.", "target_sentence": "Santorum and his aides insist it is the media that focuses on social issues, but the candidate spent an hour Saturday lecturing to a group of about 1,000 people in a church auditorium in Hixon, Tenn., about the dangers of a feel-good culture.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "630", "premise": "Because if there are mistakes, you do nt want those mistakes to count against you as a potential employee. And what it really comes down to here is responsibility. Some companies say a credit, a bad credit score, a bad credit report makes you look like a less responsible employee.", "hypothesis": "A credit, a bad credit score, a bad credit report makes you look like a less responsible employee.", "label": "E", "metadata": {"context1": "Because if there are mistakes, you do nt want those mistakes to count against you as a potential employee.", "context2": "And what it really comes down to here is responsibility.", "target_sentence": "Some companies say a credit, a bad credit score, a bad credit report makes you look like a less responsible employee.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'say', 'embedded_clause': 'a credit , a bad credit score , a bad credit report makes you look like a less responsible employee'}", "trigger_type": "clause_embedding_predicates", "annotator": "SL", "nli_labels": ["N", "N", "E", "E", "E"], "ratings": [61.0, 68.41, 100.0, 100.0, 99.71]}}
+{"uid": "635-neg", "premise": "What denomination?  I don't think it's a Christian church.", "hypothesis": "It's a Christian church.", "label": "N", "metadata": {"context1": "What denomination?", "context2": "", "target_sentence": "I don't think it's a Christian church.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': \"> A : It 's a Christian church\"}", "trigger_type": "clause_embedding_predicates", "annotator": "SL", "nli_labels": ["N", "N", "C", "C", "N"], "ratings": [46.25, 2.81, 0.21, 1.01, 50.3]}}
+{"uid": "635", "premise": "What denomination?  I think it's a Christian church.", "hypothesis": "It's a Christian church.", "label": "N", "metadata": {"context1": "What denomination?", "context2": "", "target_sentence": "I think it's a Christian church.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'think', 'embedded_clause': \"> A : It 's a Christian church\"}", "trigger_type": "clause_embedding_predicates", "annotator": "SL", "nli_labels": ["N", "N", "N", "N", "E"], "ratings": [57.32, 90.33, 61.87, 75.6, 100.0]}}
+{"uid": "636-neg", "premise": " She was so shocked at his perfidy, the mistress of many years, that she began to seek comfort in commiseration with the wife. Anyway, the mistress of many years didn't say Photograph STUDENT ATHLETE Kirby (with his mother, Catherine) showed off his diploma at his high school graduation in 1979.", "hypothesis": "Photograph STUDENT ATHLETE Kirby (with his mother, Catherine) showed off his diploma at his high school graduation in 1979.", "label": "E", "metadata": {"context1": "", "context2": "She was so shocked at his perfidy, the mistress of many years, that she began to seek comfort in commiseration with the wife.", "target_sentence": "Anyway, the mistress of many years didn't say Photograph STUDENT ATHLETE Kirby (with his mother, Catherine) showed off his diploma at his high school graduation in 1979.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'says', 'embedded_clause': 'Photograph STUDENT ATHLETE Kirby ( with his mother , Catherine ) showed off his diploma at his high school graduation in 1979'}", "trigger_type": "clause_embedding_predicates", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [97.98, 100.0, 99.54, 100.0, 100.0]}}
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+{"uid": "648-neg", "premise": "Crusan says the previous inspector said she could re-use them. Tjelmeland tells her to use a new pair each time, because if she touches the outside of the glove, the gloves may be contaminated. Crusan, who makes a lot of toast on her morning shift, doesn't say she's been wearing gloves since the regulation was added last year.", "hypothesis": "She's been wearing gloves since the regulation was added last year.", "label": "N", "metadata": {"context1": "Crusan says the previous inspector said she could re-use them.", "context2": "Tjelmeland tells her to use a new pair each time, because if she touches the outside of the glove, the gloves may be contaminated.", "target_sentence": "Crusan, who makes a lot of toast on her morning shift, doesn't say she's been wearing gloves since the regulation was added last year.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'says', 'embedded_clause': \"she 's been wearing gloves since the regulation was added last year\"}", "trigger_type": "clause_embedding_predicates", "annotator": "SL", "nli_labels": ["N", "N", "E", "N", "N"], "ratings": [49.1, 46.7, 100.0, 49.25, 11.86]}}
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+{"uid": "651-neg", "premise": "Stumbling towards them through the rubble came a trooper, blood-soaked, a small, squat man. Dane's bayonet had been snapped in two, and he was dragging one leg: both weapon and man damaged, Belo thought bleakly. Grimacing with pain, Dane didn't show Belo what he had found: a shaft in the ground, no wider than Belo's own shoulders, covered by a heavy stone slab.", "hypothesis": "Dane had found a shaft in the ground, no wider than Belo's own shoulders, covered by a heavy stone slab.", "label": "E", "metadata": {"context1": "Stumbling towards them through the rubble came a trooper, blood-soaked, a small, squat man.", "context2": "Dane's bayonet had been snapped in two, and he was dragging one leg: both weapon and man damaged, Belo thought bleakly.", "target_sentence": "Grimacing with pain, Dane didn't show Belo what he had found: a shaft in the ground, no wider than Belo's own shoulders, covered by a heavy stone slab.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'showed', 'embedded_clause': 'what he had found :'}", "trigger_type": "clause_embedding_predicates", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 94.54, 99.79, 100.0, 99.06]}}
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+{"uid": "653-neg", "premise": "  The sheriff's office didn't say that Tillman was taken to University Hospitals Portage Medical Center, where he died.", "hypothesis": "Tillman was taken to University Hospitals Portage Medical Center, where he died.", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "The sheriff's office didn't say that Tillman was taken to University Hospitals Portage Medical Center, where he died.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'factive': 'said', 'embedded_clause': 'Tillman was taken to University Hospitals Portage Medical Center , where he died'}", "trigger_type": "clause_embedding_predicates", "annotator": "SL", "nli_labels": ["N", "C", "N", "N", "N"], "ratings": [52.85, 0.0, 9.24, 94.19, 49.7]}}
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+{"uid": "656-neg", "premise": "Many of us seek it out specifically when we're in the mood for a meal that's lean. As a result, lots of dieters let their guard down at the sushi bar. Lots of dieters don't fail to detect the mayonnaise in California, spicy tuna and specialty rolls.", "hypothesis": "Lots of dieters attempted to detect the mayonnaise in California, spicy tuna and specialty rolls.", "label": "N", "metadata": {"context1": "Many of us seek it out specifically when we're in the mood for a meal that's lean.", "context2": "As a result, lots of dieters let their guard down at the sushi bar.", "target_sentence": "Lots of dieters don't fail to detect the mayonnaise in California, spicy tuna and specialty rolls.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'fail', 'inference': 'the subject attempts to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["C", "N", "E", "N", "N"], "ratings": [0.25, 2.55, 99.34, 15.07, 83.97]}}
+{"uid": "656", "premise": "Many of us seek it out specifically when we're in the mood for a meal that's lean. As a result, lots of dieters let their guard down at the sushi bar. Lots of dieters fail to detect the mayonnaise in California, spicy tuna and specialty rolls.", "hypothesis": "Lots of dieters attempted to detect the mayonnaise in California, spicy tuna and specialty rolls.", "label": "N", "metadata": {"context1": "Many of us seek it out specifically when we're in the mood for a meal that's lean.", "context2": "As a result, lots of dieters let their guard down at the sushi bar.", "target_sentence": "Lots of dieters fail to detect the mayonnaise in California, spicy tuna and specialty rolls.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'fail', 'inference': 'the subject attempts to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["N", "C", "E", "N", "N"], "ratings": [56.88, 0.03, 100.0, 5.06, 71.68]}}
+{"uid": "657-neg", "premise": "What he's doing is totally and completely normal: He's discovering his body, and discovering that rubbing his penis feels good. There's nothing wrong with that. You can't avoid making him feel bad or ashamed about the behavior.", "hypothesis": "You expect him to feel bad or ashamed about the behavior.", "label": "N", "metadata": {"context1": "What he's doing is totally and completely normal: He's discovering his body, and discovering that rubbing his penis feels good.", "context2": "There's nothing wrong with that.", "target_sentence": "You can't avoid making him feel bad or ashamed about the behavior.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'avoid', 'inference': 'the event was expected from the subject'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["N", "N", "N", "N", "E"], "ratings": [75.85, 77.97, 89.35, 92.17, 98.02]}}
+{"uid": "657", "premise": "What he's doing is totally and completely normal: He's discovering his body, and discovering that rubbing his penis feels good. There's nothing wrong with that. You can avoid making him feel bad or ashamed about the behavior.", "hypothesis": "You expect him to feel bad or ashamed about the behavior.", "label": "N", "metadata": {"context1": "What he's doing is totally and completely normal: He's discovering his body, and discovering that rubbing his penis feels good.", "context2": "There's nothing wrong with that.", "target_sentence": "You can avoid making him feel bad or ashamed about the behavior.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'avoid', 'inference': 'the event was expected from the subject'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["N", "E", "N", "N", "N"], "ratings": [34.25, 99.96, 32.56, 51.65, 82.99]}}
+{"uid": "658-neg", "premise": "\"You don't think that money should govern people who are elected, but what do you do, just let the billionaires take over?\" A spokesman for Mr. Williams declined to comment. The three billionaires didn't decline to comment.", "hypothesis": "The three billionaires were asked to comment.", "label": "E", "metadata": {"context1": "\"You don't think that money should govern people who are elected, but what do you do, just let the billionaires take over?\"", "context2": "A spokesman for Mr. Williams declined to comment.", "target_sentence": "The three billionaires didn't decline to comment.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 97.98, 99.83, 90.15, 97.88]}}
+{"uid": "658", "premise": "\"You don't think that money should govern people who are elected, but what do you do, just let the billionaires take over?\" A spokesman for Mr. Williams declined to comment. The three billionaires declined to comment.", "hypothesis": "The three billionaires were asked to comment.", "label": "E", "metadata": {"context1": "\"You don't think that money should govern people who are elected, but what do you do, just let the billionaires take over?\"", "context2": "A spokesman for Mr. Williams declined to comment.", "target_sentence": "The three billionaires declined to comment.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.46, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "662-neg", "premise": "Psychopaths often claim to have specific goals but show little appreciation regarding the qualifications required--they have no idea of how to achieve them and little or no chance of attaining these goals, given their track record and lack of sustained interest in formal education. The psychopathic inmate might outline vague plans to become a lawyer for the poor or a property tycoon. One inmate, not particularly literate, didn't manage to copyright the title of a book he was planning to write about himself, already counting the fortune his best-selling book would bring.", "hypothesis": "It would take effort for the inmate to copyright the title of a book he was planning to write about himself.", "label": "E", "metadata": {"context1": "Psychopaths often claim to have specific goals but show little appreciation regarding the qualifications required--they have no idea of how to achieve them and little or no chance of attaining these goals, given their track record and lack of sustained interest in formal education.", "context2": "The psychopathic inmate might outline vague plans to become a lawyer for the poor or a property tycoon.", "target_sentence": "One inmate, not particularly literate, didn't manage to copyright the title of a book he was planning to write about himself, already counting the fortune his best-selling book would bring.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["N", "E", "E", "E", "N"], "ratings": [67.58, 100.0, 99.9, 97.45, 84.29]}}
+{"uid": "662", "premise": "Psychopaths often claim to have specific goals but show little appreciation regarding the qualifications required--they have no idea of how to achieve them and little or no chance of attaining these goals, given their track record and lack of sustained interest in formal education. The psychopathic inmate might outline vague plans to become a lawyer for the poor or a property tycoon. One inmate, not particularly literate, managed to copyright the title of a book he was planning to write about himself, already counting the fortune his best-selling book would bring.", "hypothesis": "It would take effort for the inmate to copyright the title of a book he was planning to write about himself.", "label": "E", "metadata": {"context1": "Psychopaths often claim to have specific goals but show little appreciation regarding the qualifications required--they have no idea of how to achieve them and little or no chance of attaining these goals, given their track record and lack of sustained interest in formal education.", "context2": "The psychopathic inmate might outline vague plans to become a lawyer for the poor or a property tycoon.", "target_sentence": "One inmate, not particularly literate, managed to copyright the title of a book he was planning to write about himself, already counting the fortune his best-selling book would bring.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["E", "E", "E", "N", "N"], "ratings": [98.77, 98.24, 89.89, 79.18, 74.57]}}
+{"uid": "666-neg", "premise": "Final team selection: May 18-19, Ocoee River, Tenn. Cycling: Olympic medal contender Lance Armstrong didn't fail to place in the top 20 of Sunday's Tour of Flanders.", "hypothesis": "Lance Armstrong tried to be in the top 20 of Sunday's Tour of Flanders.", "label": "E", "metadata": {"context1": "Final team selection:", "context2": "May 18-19, Ocoee River, Tenn.", "target_sentence": "Cycling: Olympic medal contender Lance Armstrong didn't fail to place in the top 20 of Sunday's Tour of Flanders.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [99.97, 90.59, 100.0, 100.0, 95.77]}}
+{"uid": "666", "premise": "Final team selection: May 18-19, Ocoee River, Tenn. Cycling: Olympic medal contender Lance Armstrong failed to place in the top 20 of Sunday's Tour of Flanders.", "hypothesis": "Lance Armstrong tried to be in the top 20 of Sunday's Tour of Flanders.", "label": "E", "metadata": {"context1": "Final team selection:", "context2": "May 18-19, Ocoee River, Tenn.", "target_sentence": "Cycling: Olympic medal contender Lance Armstrong failed to place in the top 20 of Sunday's Tour of Flanders.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 70.6, 99.9, 98.65, 98.92]}}
+{"uid": "667-neg", "premise": "It was one of the most rewarding experiences I've ever had. Lucy's is a grassroots organization. Lucy didn't manage to keep going.", "hypothesis": "It would take effort for Lucy to keep going.", "label": "E", "metadata": {"context1": "It was one of the most rewarding experiences I've ever had.", "context2": "Lucy's is a grassroots organization.", "target_sentence": "Lucy didn't manage to keep going.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'manages to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["E", "N", "N", "E", "E"], "ratings": [99.69, 81.52, 82.09, 91.84, 95.59]}}
+{"uid": "667", "premise": "It was one of the most rewarding experiences I've ever had. Lucy's is a grassroots organization. She manages to keep going.", "hypothesis": "It would take effort for Lucy to keep going.", "label": "N", "metadata": {"context1": "It was one of the most rewarding experiences I've ever had.", "context2": "Lucy's is a grassroots organization.", "target_sentence": "She manages to keep going.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'manages to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["N", "E", "N", "N", "N"], "ratings": [77.48, 100.0, 66.45, 84.4, 57.32]}}
+{"uid": "669-neg", "premise": "But it also makes it look as though Apple is paying a higher worldwide effective tax rate than it really is, which could help its image with people who buy its products. \"If Apple followed usual reporting practices, its reported worldwide effective tax rate would have been 15 instead of 24 percent,\" in 2011, Sullivan estimates. Apple didn't decline to comment on its taxes.", "hypothesis": "Apple was asked to comment on its taxes.", "label": "E", "metadata": {"context1": "But it also makes it look as though Apple is paying a higher worldwide effective tax rate than it really is, which could help its image with people who buy its products.", "context2": "\"If Apple followed usual reporting practices, its reported worldwide effective tax rate would have been 15 instead of 24 percent,\" in 2011, Sullivan estimates.", "target_sentence": "Apple didn't decline to comment on its taxes.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.51, 99.9, 100.0, 100.0, 96.02]}}
+{"uid": "669", "premise": "But it also makes it look as though Apple is paying a higher worldwide effective tax rate than it really is, which could help its image with people who buy its products. \"If Apple followed usual reporting practices, its reported worldwide effective tax rate would have been 15 instead of 24 percent,\" in 2011, Sullivan estimates. Apple declined to comment on its taxes.", "hypothesis": "Apple was asked to comment on its taxes.", "label": "E", "metadata": {"context1": "But it also makes it look as though Apple is paying a higher worldwide effective tax rate than it really is, which could help its image with people who buy its products.", "context2": "\"If Apple followed usual reporting practices, its reported worldwide effective tax rate would have been 15 instead of 24 percent,\" in 2011, Sullivan estimates.", "target_sentence": "Apple declined to comment on its taxes.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [96.31, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "672-neg", "premise": "Hunting has been variable. Valley quail numbers have been high throughout lower elevation agricultural lands. Hunters shouldn't remember to ask for permission prior to hunting on private land.", "hypothesis": "Hunters are supposed to ask for permission prior to hunting on private land.", "label": "N", "metadata": {"context1": "Hunting has been variable.", "context2": "Valley quail numbers have been high throughout lower elevation agricultural lands.", "target_sentence": "Hunters shouldn't remember to ask for permission prior to hunting on private land.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'remember to', 'inference': 'the subject is supposed to take the action'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["C", "E", "N", "N", "N"], "ratings": [1.01, 83.97, 13.33, 62.02, 6.16]}}
+{"uid": "672", "premise": "Hunting has been variable. Valley quail numbers have been high throughout lower elevation agricultural lands. Hunters should remember to ask for permission prior to hunting on private land.", "hypothesis": "Hunters are supposed to ask for permission prior to hunting on private land.", "label": "E", "metadata": {"context1": "Hunting has been variable.", "context2": "Valley quail numbers have been high throughout lower elevation agricultural lands.", "target_sentence": "Hunters should remember to ask for permission prior to hunting on private land.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'remember to', 'inference': 'the subject is supposed to take the action'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.37, 100.0, 97.6, 100.0, 99.85]}}
+{"uid": "675-neg", "premise": " Lovett did eventually retire--to become secretary and acting governor of the Virgin Islands during World War II. Lovett didn't manage to stir up trouble at the age of seventy-one.", "hypothesis": "Stirring up trouble at the age of seventy-one would take effort for Lovett.", "label": "N", "metadata": {"context1": "", "context2": "Lovett did eventually retire--to become secretary and acting governor of the Virgin Islands during World War II.", "target_sentence": "Lovett didn't manage to stir up trouble at the age of seventy-one.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["N", "N", "E", "N", "N"], "ratings": [81.64, 81.41, 84.93, 79.54, 94.47]}}
+{"uid": "675", "premise": " Lovett did eventually retire--to become secretary and acting governor of the Virgin Islands during World War II. Lovett managed to stir up trouble at the age of seventy-one.", "hypothesis": "Stirring up trouble at the age of seventy-one would take effort for Lovett.", "label": "N", "metadata": {"context1": "", "context2": "Lovett did eventually retire--to become secretary and acting governor of the Virgin Islands during World War II.", "target_sentence": "Lovett managed to stir up trouble at the age of seventy-one.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [61.0, 62.16, 71.68, 38.56, 67.85]}}
+{"uid": "676-neg", "premise": "\"That's all right, isn't it, Dorothy?\" \"Why certainly,\" I said, giving them one of my smiles. But I didn't decline to join them for a seafood supper at the Brass Pelican.", "hypothesis": "Dorothy was asked to join them for a seafood supper at the Brass Pelican.", "label": "E", "metadata": {"context1": "\"That's all right, isn't it, Dorothy?\"", "context2": "\"Why certainly,\" I said, giving them one of my smiles.", "target_sentence": "But I didn't decline to join them for a seafood supper at the Brass Pelican.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["C", "E", "E", "E", "E"], "ratings": [1.01, 99.09, 100.0, 100.0, 100.0]}}
+{"uid": "676", "premise": "\"That's all right, isn't it, Dorothy?\" \"Why certainly,\" I said, giving them one of my smiles. But I declined to join them for a seafood supper at the Brass Pelican.", "hypothesis": "Dorothy was asked to join them for a seafood supper at the Brass Pelican.", "label": "E", "metadata": {"context1": "\"That's all right, isn't it, Dorothy?\"", "context2": "\"Why certainly,\" I said, giving them one of my smiles.", "target_sentence": "But I declined to join them for a seafood supper at the Brass Pelican.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["E", "E", "C", "N", "E"], "ratings": [90.24, 100.0, 0.0, 50.75, 100.0]}}
+{"uid": "677-neg", "premise": "  Streaks: Victor Santos hasn't failed to make it out of third inning in back-to-back starts.", "hypothesis": "Victor Santos attempted to make it out of third inning in back-to-back starts.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "Streaks: Victor Santos hasn't failed to make it out of third inning in back-to-back starts.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 98.65]}}
+{"uid": "677", "premise": "  Streaks: Victor Santos has failed to make it out of third inning in back-to-back starts.", "hypothesis": "Victor Santos attempted to make it out of third inning in back-to-back starts.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "Streaks: Victor Santos has failed to make it out of third inning in back-to-back starts.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [99.97, 100.0, 100.0, 93.4, 95.59]}}
+{"uid": "679-neg", "premise": "  Sharon didn't happen to be facing him when it happened, and I could tell from the look in her eyes that it was bad.", "hypothesis": "Facing him when it happened was unexpected for Sharon.", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "Sharon didn't happen to be facing him when it happened, and I could tell from the look in her eyes that it was bad.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'happened to', 'inference': 'the action/state is unexpected'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["N", "C", "N", "N", "N"], "ratings": [50.6, 0.51, 78.46, 5.12, 59.83]}}
+{"uid": "681-neg", "premise": "Speaker B: Yes.\nSpeaker A: He, he did have an appointment with a close friend at 2:30 PM on Sunday, the day of the abduction. Joseph Smith didn't fail to show up for that appointment.", "hypothesis": "Joseph Smith attempted to show up for that appointment.", "label": "E", "metadata": {"context1": "Yes.", "context2": "He, he did have an appointment with a close friend at 2:30 PM on Sunday, the day of the abduction.", "target_sentence": "Joseph Smith didn't fail to show up for that appointment.", "speaker_context1": "DIANE-SAWYER-", "speaker_context2": "CHUCK-CHAMBERS-", "speaker_target": "CHUCK-CHAMBERS-", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "681", "premise": "Speaker B: Yes.\nSpeaker A: He, he did have an appointment with a close friend at 2:30 PM on Sunday, the day of the abduction. Joseph Smith failed to show up for that appointment.", "hypothesis": "Joseph Smith attempted to show up for that appointment.", "label": "N", "metadata": {"context1": "Yes.", "context2": "He, he did have an appointment with a close friend at 2:30 PM on Sunday, the day of the abduction.", "target_sentence": "Joseph Smith failed to show up for that appointment.", "speaker_context1": "DIANE-SAWYER-", "speaker_context2": "CHUCK-CHAMBERS-", "speaker_target": "CHUCK-CHAMBERS-", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["N", "N", "N", "N", "C"], "ratings": [68.41, 8.32, 49.85, 47.3, 2.07]}}
+{"uid": "682-neg", "premise": " Mr. Chapin, 38, knows that many people find this kind of stuff laughable in an age of audioanimatronic theme parks. Yet he doesn't resist updating it.", "hypothesis": "It's forced upon Mr. Chapin that he must update this kind of stuff.", "label": "N", "metadata": {"context1": "", "context2": "Mr. Chapin, 38, knows that many people find this kind of stuff laughable in an age of audioanimatronic theme parks.", "target_sentence": "Yet he doesn't resist updating it.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'resists', 'inference': 'the action is forced upon/expected for the subject'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["N", "E", "N", "C", "N"], "ratings": [21.67, 100.0, 14.24, 0.0, 3.4]}}
+{"uid": "683-neg", "premise": " PETERSEN: On his recent visit to China, Commerce Secretary Daley forgot to raise human rights with President Jiang Zemin.", "hypothesis": "Commerce Secretary Daley was supposed to raise human rights with President Jiang Zemin.", "label": "E", "metadata": {"context1": "", "context2": "PETERSEN:", "target_sentence": "On his recent visit to China, Commerce Secretary Daley forgot to raise human rights with President Jiang Zemin.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'forget to', 'inference': 'the subject is supposed to take the action'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [79.66, 100.0, 100.0, 96.31, 100.0]}}
+{"uid": "683", "premise": " PETERSEN: On his recent visit to China, Commerce Secretary Daley didn't forget to raise human rights with President Jiang Zemin.", "hypothesis": "Commerce Secretary Daley was supposed to raise human rights with President Jiang Zemin.", "label": "E", "metadata": {"context1": "", "context2": "PETERSEN:", "target_sentence": "On his recent visit to China, Commerce Secretary Daley didn't forget to raise human rights with President Jiang Zemin.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'forget to', 'inference': 'the subject is supposed to take the action'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 92.56, 100.0, 99.75]}}
+{"uid": "684-neg", "premise": "In the taxi on the way to Lutce, I ponder the question of pork.  When we were poor but not impoverished, A-Ma didn't dare to make pork for dinner.", "hypothesis": "Making pork for dinner would take courage for A-Ma.", "label": "N", "metadata": {"context1": "In the taxi on the way to Lutce, I ponder the question of pork.", "context2": "", "target_sentence": "When we were poor but not impoverished, A-Ma didn't dare to make pork for dinner.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'dared', 'inference': 'the action takes courage'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["N", "N", "N", "E", "N"], "ratings": [59.24, 55.24, 66.45, 100.0, 49.4]}}
+{"uid": "684", "premise": "In the taxi on the way to Lutce, I ponder the question of pork.  When we were poor but not impoverished, A-Ma dared to make pork for dinner.", "hypothesis": "Making pork for dinner would take courage for A-Ma.", "label": "E", "metadata": {"context1": "In the taxi on the way to Lutce, I ponder the question of pork.", "context2": "", "target_sentence": "When we were poor but not impoverished, A-Ma dared to make pork for dinner.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'dared', 'inference': 'the action takes courage'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [95.4, 100.0, 99.31, 94.68, 100.0]}}
+{"uid": "685-neg", "premise": " I knew you could do it. I didn't refrain from calling you, first, because I know you dislike emergency long-distance telephone calls, and second, because I realize you are too timid and too conservative to spend the large amount of money this operation would require.", "hypothesis": "Calling you is what I wanted to do.", "label": "E", "metadata": {"context1": "", "context2": "I knew you could do it.", "target_sentence": "I didn't refrain from calling you, first, because I know you dislike emergency long-distance telephone calls, and second, because I realize you are too timid and too conservative to spend the large amount of money this operation would require.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'refrained', 'inference': 'the action is forced upon/expected for the subject'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["E", "N", "E", "N", "E"], "ratings": [97.79, 91.43, 100.0, 46.7, 99.57]}}
+{"uid": "685", "premise": " I knew you could do it. I refrained from calling you, first, because I know you dislike emergency long-distance telephone calls, and second, because I realize you are too timid and too conservative to spend the large amount of money this operation would require.", "hypothesis": "Calling you is what I wanted to do.", "label": "N", "metadata": {"context1": "", "context2": "I knew you could do it.", "target_sentence": "I refrained from calling you, first, because I know you dislike emergency long-distance telephone calls, and second, because I realize you are too timid and too conservative to spend the large amount of money this operation would require.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'refrained', 'inference': 'the action is forced upon/expected for the subject'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["N", "N", "N", "C", "C"], "ratings": [10.29, 5.53, 24.28, 0.46, 1.67]}}
+{"uid": "686-neg", "premise": "But the twinkle in his eye masks toughness, arrogance, even ruthlessness. He has not stayed on top of Uganda by being soft. Almost alone among African leaders, Museveni hasn't managed to secure broad international support while defying Western pressure for multi-party democracy.", "hypothesis": "Securing broad international support while defying Western pressure for multi-party democracy would take effort for Museveni.", "label": "E", "metadata": {"context1": "But the twinkle in his eye masks toughness, arrogance, even ruthlessness.", "context2": "He has not stayed on top of Uganda by being soft.", "target_sentence": "Almost alone among African leaders, Museveni hasn't managed to secure broad international support while defying Western pressure for multi-party democracy.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["N", "E", "N", "E", "E"], "ratings": [87.17, 85.24, 90.59, 99.85, 100.0]}}
+{"uid": "686", "premise": "But the twinkle in his eye masks toughness, arrogance, even ruthlessness. He has not stayed on top of Uganda by being soft. Almost alone among African leaders, Museveni has managed to secure broad international support while defying Western pressure for multi-party democracy.", "hypothesis": "Securing broad international support while defying Western pressure for multi-party democracy would take effort for Museveni.", "label": "E", "metadata": {"context1": "But the twinkle in his eye masks toughness, arrogance, even ruthlessness.", "context2": "He has not stayed on top of Uganda by being soft.", "target_sentence": "Almost alone among African leaders, Museveni has managed to secure broad international support while defying Western pressure for multi-party democracy.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [97.04, 100.0, 100.0, 100.0, 63.61]}}
+{"uid": "687-neg", "premise": "Age Effects Initial analyses revealed no significant age effects for the variables studied. This was somewhat surprising given the variety of developmental literature documenting differences in social behavior during the adolescent years (Laursen, 1996; Sullivan, 1953), and (Benenson &; Christakos, 203; Buhrmester, 1990) hasn't failed to uncover age differences in some friendship characteristics.", "hypothesis": "( Benenson &; Christakos, 203; Buhrmester, 1990) attempted to uncover age differences in some friendship characteristics.", "label": "E", "metadata": {"context1": "Age Effects", "context2": "Initial analyses revealed no significant age effects for the variables studied.", "target_sentence": "This was somewhat surprising given the variety of developmental literature documenting differences in social behavior during the adolescent years (Laursen, 1996; Sullivan, 1953), and (Benenson &; Christakos, 203; Buhrmester, 1990) hasn't failed to uncover age differences in some friendship characteristics.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [91.02, 100.0, 100.0, 100.0, 98.62]}}
+{"uid": "687", "premise": "Age Effects Initial analyses revealed no significant age effects for the variables studied. This was somewhat surprising given the variety of developmental literature documenting differences in social behavior during the adolescent years (Laursen, 1996; Sullivan, 1953 ), and (Benenson &; Christakos, 203; Buhrmester, 1990) has failed to uncover age differences in some friendship characteristics.", "hypothesis": "( Benenson &; Christakos, 203; Buhrmester, 1990) attempted to uncover age differences in some friendship characteristics.", "label": "E", "metadata": {"context1": "Age Effects", "context2": "Initial analyses revealed no significant age effects for the variables studied.", "target_sentence": "This was somewhat surprising given the variety of developmental literature documenting differences in social behavior during the adolescent years (Laursen, 1996; Sullivan, 1953 ), and (Benenson &; Christakos, 203; Buhrmester, 1990) has failed to uncover age differences in some friendship characteristics.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [100.0, 99.96, 97.93, 100.0, 50.0]}}
+{"uid": "688-neg", "premise": "The Air Force has not been a serious advocate for military space programs-otherwise it would not have supported transferring the reusable launch mission to NASA, an organization that has shown little responsiveness to supporting innovative military space programs. \" But civilian space planes did not perform as expected, either. The creators of the space shuttle didn't fail to reach its primary goals of making transportation to space cheaper and more efficient.", "hypothesis": "The creators of the space shuttle attempted to reach its primary goals of making transportation to space cheaper and more efficient.", "label": "E", "metadata": {"context1": "The Air Force has not been a serious advocate for military space programs-otherwise it would not have supported transferring the reusable launch mission to NASA, an organization that has shown little responsiveness to supporting innovative military space programs. \"", "context2": "But civilian space planes did not perform as expected, either.", "target_sentence": "The creators of the space shuttle didn't fail to reach its primary goals of making transportation to space cheaper and more efficient.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["E", "E", "C", "E", "E"], "ratings": [99.59, 100.0, 0.0, 100.0, 100.0]}}
+{"uid": "688", "premise": "The Air Force has not been a serious advocate for military space programs-otherwise it would not have supported transferring the reusable launch mission to NASA, an organization that has shown little responsiveness to supporting innovative military space programs. \" But civilian space planes did not perform as expected, either. The creators of the space shuttle failed to reach its primary goals of making transportation to space cheaper and more efficient.", "hypothesis": "The creators of the space shuttle attempted to reach its primary goals of making transportation to space cheaper and more efficient.", "label": "E", "metadata": {"context1": "The Air Force has not been a serious advocate for military space programs-otherwise it would not have supported transferring the reusable launch mission to NASA, an organization that has shown little responsiveness to supporting innovative military space programs. \"", "context2": "But civilian space planes did not perform as expected, either.", "target_sentence": "The creators of the space shuttle failed to reach its primary goals of making transportation to space cheaper and more efficient.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'failed', 'inference': 'the subject attempts the effort to complete the action'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 98.88, 98.16, 80.6, 98.65]}}
+{"uid": "689-neg", "premise": "Then others quickly followed suit. Before King knew it, he had lost all but six of his Nordstrom locations. John Clem, the general manager of Nordstrom's restaurant division, didn't decline to comment about the lost Nordstrom accounts.", "hypothesis": "John Clem was asked to comment about the lost Nordstrom accounts.", "label": "E", "metadata": {"context1": "Then others quickly followed suit.", "context2": "Before King knew it, he had lost all but six of his Nordstrom locations.", "target_sentence": "John Clem, the general manager of Nordstrom's restaurant division, didn't decline to comment about the lost Nordstrom accounts.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 99.51, 97.88]}}
+{"uid": "689", "premise": "Then others quickly followed suit. Before King knew it, he had lost all but six of his Nordstrom locations. John Clem, the general manager of Nordstrom's restaurant division, declined to comment about the lost Nordstrom accounts.", "hypothesis": "John Clem was asked to comment about the lost Nordstrom accounts.", "label": "E", "metadata": {"context1": "Then others quickly followed suit.", "context2": "Before King knew it, he had lost all but six of his Nordstrom locations.", "target_sentence": "John Clem, the general manager of Nordstrom's restaurant division, declined to comment about the lost Nordstrom accounts.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.54, 100.0, 100.0, 100.0]}}
+{"uid": "690-neg", "premise": "District Superintendent John Glaser said Tuesday that the school board reaffirmed the policy last year.  Both Glaser and Michael Pearson, the school's principal, didn't decline to comment on the suit.", "hypothesis": "Glaser and Michael Pearson were asked to to comment on the suit.", "label": "E", "metadata": {"context1": "District Superintendent John Glaser said Tuesday that the school board reaffirmed the policy last year.", "context2": "", "target_sentence": "Both Glaser and Michael Pearson, the school's principal, didn't decline to comment on the suit.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [38.27, 100.0, 99.31, 100.0, 100.0]}}
+{"uid": "690", "premise": "District Superintendent John Glaser said Tuesday that the school board reaffirmed the policy last year.  Both Glaser and Michael Pearson, the school's principal, declined to comment on the suit.", "hypothesis": "Glaser and Michael Pearson were asked to to comment on the suit.", "label": "E", "metadata": {"context1": "District Superintendent John Glaser said Tuesday that the school board reaffirmed the policy last year.", "context2": "", "target_sentence": "Both Glaser and Michael Pearson, the school's principal, declined to comment on the suit.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 91.02, 100.0]}}
+{"uid": "691-neg", "premise": "Chanda loved her sister unconditionally, even as Tara struggled with substance abuse. The kids were temporarily sent to live with relatives when she underwent court-ordered rehab in 2008. In the past year, Tara hadn't managed to reunite her family under one roof.", "hypothesis": "Reuniting her family under one roof takes effort for Tara.", "label": "E", "metadata": {"context1": "Chanda loved her sister unconditionally, even as Tara struggled with substance abuse.", "context2": "The kids were temporarily sent to live with relatives when she underwent court-ordered rehab in 2008.", "target_sentence": "In the past year, Tara hadn't managed to reunite her family under one roof.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 98.92, 80.25, 91.76, 86.67]}}
+{"uid": "691", "premise": "Chanda loved her sister unconditionally, even as Tara struggled with substance abuse. The kids were temporarily sent to live with relatives when she underwent court-ordered rehab in 2008. In the past year, Tara had managed to reunite her family under one roof.", "hypothesis": "Reuniting her family under one roof takes effort for Tara.", "label": "E", "metadata": {"context1": "Chanda loved her sister unconditionally, even as Tara struggled with substance abuse.", "context2": "The kids were temporarily sent to live with relatives when she underwent court-ordered rehab in 2008.", "target_sentence": "In the past year, Tara had managed to reunite her family under one roof.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'managed to', 'inference': 'the action takes effort'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["E", "E", "N", "N", "E"], "ratings": [97.04, 95.53, 78.21, 94.4, 99.62]}}
+{"uid": "696-neg", "premise": "His optimum playing weight is said to be 235, while his Ruthian weight could be as high as 280. In Duquette's cold calculation, Vaughn's knee surgery may foreshadow a physical decline, aided and abetted by late nights, drinking and a weight problem. Duquette didn't decline to be interviewed.", "hypothesis": "Duquette was asked to be interviewed.", "label": "E", "metadata": {"context1": "His optimum playing weight is said to be 235, while his Ruthian weight could be as high as 280.", "context2": "In Duquette's cold calculation, Vaughn's knee surgery may foreshadow a physical decline, aided and abetted by late nights, drinking and a weight problem.", "target_sentence": "Duquette didn't decline to be interviewed.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.79, 96.71, 97.04]}}
+{"uid": "696", "premise": "His optimum playing weight is said to be 235, while his Ruthian weight could be as high as 280. In Duquette's cold calculation, Vaughn's knee surgery may foreshadow a physical decline, aided and abetted by late nights, drinking and a weight problem. Duquette declined to be interviewed.", "hypothesis": "Duquette was asked to be interviewed.", "label": "E", "metadata": {"context1": "His optimum playing weight is said to be 235, while his Ruthian weight could be as high as 280.", "context2": "In Duquette's cold calculation, Vaughn's knee surgery may foreshadow a physical decline, aided and abetted by late nights, drinking and a weight problem.", "target_sentence": "Duquette declined to be interviewed.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'declined', 'inference': 'the subject is asked to take the action'}", "trigger_type": "implicative_predicates", "annotator": "SL", "nli_labels": ["E", "C", "E", "E", "E"], "ratings": [100.0, 0.0, 100.0, 100.0, 95.96]}}
+{"uid": "697-neg", "premise": "Gao was there, too. He declared that he had collected enough evidence from Old Cop's bed and would give it directly to Chief Zhang tomorrow morning. Old Cop was lying on the ground, and wasn't covering his face with both hands in front of him.", "hypothesis": "Old Cop had two hands.", "label": "E", "metadata": {"context1": "Gao was there, too.", "context2": "He declared that he had collected enough evidence from Old Cop's bed and would give it directly to Chief Zhang tomorrow morning.", "target_sentence": "Old Cop was lying on the ground, and wasn't covering his face with both hands in front of him.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "697", "premise": "Gao was there, too. He declared that he had collected enough evidence from Old Cop's bed and would give it directly to Chief Zhang tomorrow morning. Old Cop was lying on the ground, and covering his face with both hands in front of him.", "hypothesis": "Old Cop had two hands.", "label": "E", "metadata": {"context1": "Gao was there, too.", "context2": "He declared that he had collected enough evidence from Old Cop's bed and would give it directly to Chief Zhang tomorrow morning.", "target_sentence": "Old Cop was lying on the ground, and covering his face with both hands in front of him.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.75, 100.0, 100.0, 100.0]}}
+{"uid": "7-neg", "premise": "As far as I'm concerned, there is no past, \" Heather told the new head of the Infertility Clinic. The latest addition to the Doctors Circle complex, the clinic was in the final stages of remodeling and would open officially in April, two months from now. Jason hadn't arrived earlier this week and and been so busy that, until now, he and Heather had exchanged only brief, impersonal greetings.", "hypothesis": "Jason wasn't there before this week.", "label": "E", "metadata": {"context1": "As far as I'm concerned, there is no past, \" Heather told the new head of the Infertility Clinic.", "context2": "The latest addition to the Doctors Circle complex, the clinic was in the final stages of remodeling and would open officially in April, two months from now.", "target_sentence": "Jason hadn't arrived earlier this week and and been so busy that, until now, he and Heather had exchanged only brief, impersonal greetings.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'arrived'}", "trigger_type": "change_of_state", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [97.88, 99.22, 100.0, 99.54, 77.72]}}
+{"uid": "7", "premise": "As far as I'm concerned, there is no past, \" Heather told the new head of the Infertility Clinic. The latest addition to the Doctors Circle complex, the clinic was in the final stages of remodeling and would open officially in April, two months from now. Jason had arrived earlier this week but had been so busy that, until now, he and Heather had exchanged only brief, impersonal greetings.", "hypothesis": "Jason wasn't there before this week.", "label": "E", "metadata": {"context1": "As far as I'm concerned, there is no past, \" Heather told the new head of the Infertility Clinic.", "context2": "The latest addition to the Doctors Circle complex, the clinic was in the final stages of remodeling and would open officially in April, two months from now.", "target_sentence": "Jason had arrived earlier this week but had been so busy that, until now, he and Heather had exchanged only brief, impersonal greetings.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'arrived'}", "trigger_type": "change_of_state", "annotator": "ZZ", "nli_labels": ["E", "C", "E", "E", "N"], "ratings": [99.71, 0.49, 99.62, 100.0, 75.47]}}
+{"uid": "70", "premise": " But 18 months later, only 16 of the Golden Venture's passengers have been deported and more than 180 remain in jails around the country. Now it is the administration that finds itself on the defensive, fighting off a lawsuit that challenges some basic principles of current immigration policy.", "hypothesis": "Someone finds themselves on the defense.", "label": "E", "metadata": {"context1": "", "context2": "But 18 months later, only 16 of the Golden Venture's passengers have been deported and more than 180 remain in jails around the country.", "target_sentence": "Now it is the administration that finds itself on the defensive, fighting off a lawsuit that challenges some basic principles of current immigration policy.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "C"], "ratings": [99.59, 100.0, 100.0, 100.0, 0.23]}}
+{"uid": "700-neg", "premise": "  Both brothers sitting on the bench are not silent now as thunder rumbles overhead.", "hypothesis": "There are two brothers sitting on the bench.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "Both brothers sitting on the bench are not silent now as thunder rumbles overhead.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.69, 99.9, 100.0, 100.0]}}
+{"uid": "700", "premise": "  Both brothers sitting on the bench are silent now as thunder rumbles overhead.", "hypothesis": "There are two brothers sitting on the bench.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "Both brothers sitting on the bench are silent now as thunder rumbles overhead.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [97.98, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "701-neg", "premise": "Mr. Barzani, in a statement, said, \"The Kurdistan region is ready to defend its soil and all its citizens.\" Mr. Maliki, in a news conference over the weekend, said: \" It is not a struggle against a dictator. It won't be an ethnic conflict that is not in the interest of both parties involved.", "hypothesis": "There are two parties involved.", "label": "E", "metadata": {"context1": "Mr. Barzani, in a statement, said, \"The Kurdistan region is ready to defend its soil and all its citizens.\"", "context2": "Mr. Maliki, in a news conference over the weekend, said: \" It is not a struggle against a dictator.", "target_sentence": "It won't be an ethnic conflict that is not in the interest of both parties involved.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.25, 100.0, 100.0]}}
+{"uid": "701", "premise": "Mr. Barzani, in a statement, said, \"The Kurdistan region is ready to defend its soil and all its citizens.\" Mr. Maliki, in a news conference over the weekend, said: \" It is not a struggle against a dictator. It will be an ethnic conflict that is not in the interest of both parties involved.", "hypothesis": "There are two parties involved.", "label": "E", "metadata": {"context1": "Mr. Barzani, in a statement, said, \"The Kurdistan region is ready to defend its soil and all its citizens.\"", "context2": "Mr. Maliki, in a news conference over the weekend, said: \" It is not a struggle against a dictator.", "target_sentence": "It will be an ethnic conflict that is not in the interest of both parties involved.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "703-neg", "premise": "Without looking at the numbers, yeah, I would probably say this has been my best year, \" Buehrle says. \"Pitching for this team has a lot to do with the success I've had-and that the whole pitching staff has had.\" Success doesn't work both ways in this scenario-the Sox know their fortunes will rest on their pitching and, perhaps, on the performances of Buehrle and Garland.", "hypothesis": "There are two ways in this scenario.", "label": "E", "metadata": {"context1": "Without looking at the numbers, yeah, I would probably say this has been my best year, \" Buehrle says.", "context2": "\"Pitching for this team has a lot to do with the success I've had-and that the whole pitching staff has had.\"", "target_sentence": "Success doesn't work both ways in this scenario-the Sox know their fortunes will rest on their pitching and, perhaps, on the performances of Buehrle and Garland.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SL", "nli_labels": ["N", "N", "E", "E", "E"], "ratings": [85.45, 34.11, 100.0, 99.62, 100.0]}}
+{"uid": "703", "premise": "Without looking at the numbers, yeah, I would probably say this has been my best year, \" Buehrle says. \"Pitching for this team has a lot to do with the success I've had-and that the whole pitching staff has had.\" Success works both ways in this scenario-the Sox know their fortunes will rest on their pitching and, perhaps, on the performances of Buehrle and Garland.", "hypothesis": "There are two ways in this scenario.", "label": "E", "metadata": {"context1": "Without looking at the numbers, yeah, I would probably say this has been my best year, \" Buehrle says.", "context2": "\"Pitching for this team has a lot to do with the success I've had-and that the whole pitching staff has had.\"", "target_sentence": "Success works both ways in this scenario-the Sox know their fortunes will rest on their pitching and, perhaps, on the performances of Buehrle and Garland.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SL", "nli_labels": ["E", "E", "N", "N", "E"], "ratings": [100.0, 100.0, 16.25, 78.58, 100.0]}}
+{"uid": "705-neg", "premise": "He touched Teddy and-wow! It was like touching a live wire. He didn't balance on the swivel chair and held Teddy against his chest with both hands covered in dirt.", "hypothesis": "He had two hands covered in dirt.", "label": "E", "metadata": {"context1": "He touched Teddy and-wow!", "context2": "It was like touching a live wire.", "target_sentence": "He didn't balance on the swivel chair and held Teddy against his chest with both hands covered in dirt.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.54, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "705", "premise": "He touched Teddy and-wow! It was like touching a live wire. He balanced on the swivel chair and held Teddy against his chest with both hands covered in dirt.", "hypothesis": "He had two hands covered in dirt.", "label": "E", "metadata": {"context1": "He touched Teddy and-wow!", "context2": "It was like touching a live wire.", "target_sentence": "He balanced on the swivel chair and held Teddy against his chest with both hands covered in dirt.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.46, 100.0, 99.77]}}
+{"uid": "706-neg", "premise": " Malone's role / TCI chief didn't play on both sides of the game.", "hypothesis": "There were two sides of the game.", "label": "E", "metadata": {"context1": "", "context2": "Malone's role", "target_sentence": "/ TCI chief didn't play on both sides of the game.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [97.88, 100.0, 100.0, 100.0, 99.95]}}
+{"uid": "706", "premise": " Malone's role / TCI chief played on both sides of the game.", "hypothesis": "There were two sides of the game.", "label": "E", "metadata": {"context1": "", "context2": "Malone's role", "target_sentence": "/ TCI chief played on both sides of the game.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.09, 100.0, 99.64]}}
+{"uid": "707-neg", "premise": "Scandal management in Washington is governed these days by simple rules. Change the subject, trash accusers, ignore the facts, stonewall. Simple rules don't happen on both sides of the district.", "hypothesis": "There are two sides of the district.", "label": "E", "metadata": {"context1": "Scandal management in Washington is governed these days by simple rules.", "context2": "Change the subject, trash accusers, ignore the facts, stonewall.", "target_sentence": "Simple rules don't happen on both sides of the district.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SL", "nli_labels": ["E", "E", "N", "E", "N"], "ratings": [99.4, 98.02, 52.1, 100.0, 74.31]}}
+{"uid": "707", "premise": "Scandal management in Washington is governed these days by simple rules. Change the subject, trash accusers, ignore the facts, stonewall. Simple rules happen on both sides of the district.", "hypothesis": "There are two sides of the district.", "label": "E", "metadata": {"context1": "Scandal management in Washington is governed these days by simple rules.", "context2": "Change the subject, trash accusers, ignore the facts, stonewall.", "target_sentence": "Simple rules happen on both sides of the district.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [95.84, 98.99, 91.93, 100.0, 100.0]}}
+{"uid": "708-neg", "premise": "The standard of peer review for a workshop is very different from that described above for a consensus study. A much smaller group of reviewers is involved, and the objective of the review is to ensure that the report is an accurate and clear description of what happened, not what should have happened. Because there is some overlap in content between the IOM / NRC consensus reports and IOM workshop summaries in terms of coverage of health-related issues, we didn't include both types of reports in this review.", "hypothesis": "There are two types of reports, namely IOM and NRC consensus reports.", "label": "E", "metadata": {"context1": "The standard of peer review for a workshop is very different from that described above for a consensus study.", "context2": "A much smaller group of reviewers is involved, and the objective of the review is to ensure that the report is an accurate and clear description of what happened, not what should have happened.", "target_sentence": "Because there is some overlap in content between the IOM / NRC consensus reports and IOM workshop summaries in terms of coverage of health-related issues, we didn't include both types of reports in this review.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 97.79, 99.59]}}
+{"uid": "708", "premise": "The standard of peer review for a workshop is very different from that described above for a consensus study. A much smaller group of reviewers is involved, and the objective of the review is to ensure that the report is an accurate and clear description of what happened, not what should have happened. Because there is some overlap in content between the IOM / NRC consensus reports and IOM workshop summaries in terms of coverage of health-related issues, we included both types of reports in this review.", "hypothesis": "There are two types of reports, namely IOM and NRC consensus reports.", "label": "E", "metadata": {"context1": "The standard of peer review for a workshop is very different from that described above for a consensus study.", "context2": "A much smaller group of reviewers is involved, and the objective of the review is to ensure that the report is an accurate and clear description of what happened, not what should have happened.", "target_sentence": "Because there is some overlap in content between the IOM / NRC consensus reports and IOM workshop summaries in terms of coverage of health-related issues, we included both types of reports in this review.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SL", "nli_labels": ["E", "N", "E", "C", "E"], "ratings": [99.75, 65.18, 100.0, 0.0, 99.4]}}
+{"uid": "709-neg", "premise": " I was a bit nervous the first couple of holes during the first round. I didn't know both gentlemen wearing glasses.", "hypothesis": "There are two gentlemen wearing glasses.", "label": "E", "metadata": {"context1": "", "context2": "I was a bit nervous the first couple of holes during the first round.", "target_sentence": "I didn't know both gentlemen wearing glasses.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [96.98, 100.0, 100.0, 98.16, 86.67]}}
+{"uid": "709", "premise": " I was a bit nervous the first couple of holes during the first round. I knew both gentlemen wearing glasses.", "hypothesis": "There are two gentlemen wearing glasses.", "label": "E", "metadata": {"context1": "", "context2": "I was a bit nervous the first couple of holes during the first round.", "target_sentence": "I knew both gentlemen wearing glasses.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.51, 100.0, 100.0]}}
+{"uid": "71-neg", "premise": " Moreover, these articles show that in some cases, a single object and its disposition may be able to effect both alienable and inalienable aspects of relations, a well as their past and future implications. In some cases, it is not this double edge of object disposition that allows the desired redefinition of social relations, disposing of some aspects of the relationship while forging or continuing others.", "hypothesis": "Something allows the desired redefinition of social relations, disposing of some aspects of the relationship while forging or continuing others.", "label": "E", "metadata": {"context1": "", "context2": "Moreover, these articles show that in some cases, a single object and its disposition may be able to effect both alienable and inalienable aspects of relations, a well as their past and future implications.", "target_sentence": "In some cases, it is not this double edge of object disposition that allows the desired redefinition of social relations, disposing of some aspects of the relationship while forging or continuing others.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "ZZ", "nli_labels": ["N", "E", "N", "E", "E"], "ratings": [84.51, 100.0, 67.3, 100.0, 97.88]}}
+{"uid": "71", "premise": " Moreover, these articles show that in some cases, a single object and its disposition may be able to effect both alienable and inalienable aspects of relations, a well as their past and future implications. In some cases, it is this double edge of object disposition that allows the desired redefinition of social relations, disposing of some aspects of the relationship while forging or continuing others.", "hypothesis": "Something allows the desired redefinition of social relations, disposing of some aspects of the relationship while forging or continuing others.", "label": "E", "metadata": {"context1": "", "context2": "Moreover, these articles show that in some cases, a single object and its disposition may be able to effect both alienable and inalienable aspects of relations, a well as their past and future implications.", "target_sentence": "In some cases, it is this double edge of object disposition that allows the desired redefinition of social relations, disposing of some aspects of the relationship while forging or continuing others.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [99.51, 100.0, 100.0, 89.17, 98.29]}}
+{"uid": "710-neg", "premise": "Step 3: Foreign Aid and Development Funds for Innovation #The third step toward an innovation-oriented global economic policy is for developed countries to work alongside international development organizations to reformulate foreign-aid policies. Both \"carrot\" and \"stick\" tools widely adopted in the community aren't needed to draw and prod countries toward the right kinds of innovation policies.", "hypothesis": "There are two tools widely adopted in the community.", "label": "E", "metadata": {"context1": "Step 3:", "context2": "Foreign Aid and Development Funds for Innovation #The third step toward an innovation-oriented global economic policy is for developed countries to work alongside international development organizations to reformulate foreign-aid policies.", "target_sentence": "Both \"carrot\" and \"stick\" tools widely adopted in the community aren't needed to draw and prod countries toward the right kinds of innovation policies.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "SL", "nli_labels": ["N", "E", "N", "E", "E"], "ratings": [23.65, 100.0, 86.97, 100.0, 100.0]}}
+{"uid": "710", "premise": "Step 3: Foreign Aid and Development Funds for Innovation #The third step toward an innovation-oriented global economic policy is for developed countries to work alongside international development organizations to reformulate foreign-aid policies. Both \"carrot\" and \"stick\" tools widely adopted in the community are needed to draw and prod countries toward the right kinds of innovation policies.", "hypothesis": "There are two tools widely adopted in the community.", "label": "E", "metadata": {"context1": "Step 3:", "context2": "Foreign Aid and Development Funds for Innovation #The third step toward an innovation-oriented global economic policy is for developed countries to work alongside international development organizations to reformulate foreign-aid policies.", "target_sentence": "Both \"carrot\" and \"stick\" tools widely adopted in the community are needed to draw and prod countries toward the right kinds of innovation policies.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [100.0, 99.64, 100.0, 100.0, 10.47]}}
+{"uid": "713-neg", "premise": "They had never actually had words about Sally but there had been a definite cooling-off since her arrival and Both men who were highly competent didn't know they were rivals for her favors.", "hypothesis": "There were two men who were highly competent.", "label": "E", "metadata": {"context1": "They had never actually had words about Sally", "context2": "but there had been a definite cooling-off since her arrival and", "target_sentence": "Both men who were highly competent didn't know they were rivals for her favors.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 99.9]}}
+{"uid": "713", "premise": "They had never actually had words about Sally but there had been a definite cooling-off since her arrival and Both men who were highly competent knew they were rivals for her favors.", "hypothesis": "There were two men who were highly competent.", "label": "E", "metadata": {"context1": "They had never actually had words about Sally", "context2": "but there had been a definite cooling-off since her arrival and", "target_sentence": "Both men who were highly competent knew they were rivals for her favors.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [97.84, 98.11, 99.28, 96.6, 99.25]}}
+{"uid": "714-neg", "premise": "Then all at once, the sound of chimes burst upon them from somewhere close, filling the courtyard with rich, melodious echoes. Tamborel wheeled full circle, looking to each high turret. The chimes didn't come from all four turrets decorated with colorful tiles.", "hypothesis": "There are four turrets decorated with colorful tiles.", "label": "E", "metadata": {"context1": "Then all at once, the sound of chimes burst upon them from somewhere close, filling the courtyard with rich, melodious echoes.", "context2": "Tamborel wheeled full circle, looking to each high turret.", "target_sentence": "The chimes didn't come from all four turrets decorated with colorful tiles.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'all'}", "trigger_type": "numeric_determiners", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "714", "premise": "Then all at once, the sound of chimes burst upon them from somewhere close, filling the courtyard with rich, melodious echoes. Tamborel wheeled full circle, looking to each high turret. The chimes came from all four turrets decorated with colorful tiles.", "hypothesis": "There are four turrets decorated with colorful tiles.", "label": "E", "metadata": {"context1": "Then all at once, the sound of chimes burst upon them from somewhere close, filling the courtyard with rich, melodious echoes.", "context2": "Tamborel wheeled full circle, looking to each high turret.", "target_sentence": "The chimes came from all four turrets decorated with colorful tiles.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'all'}", "trigger_type": "numeric_determiners", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.79, 99.28, 100.0, 100.0, 100.0]}}
+{"uid": "719-neg", "premise": "The other, initiated in Uganda, is called the Kampala Process. Diplomats from the United Nations, the US, the African Union, and other diplomats from the so-called Great Lakes region of sub-Saharan Africa have gotten involved in both talks due to the worsening humanitarian crisis this summer. M23 is not seen as the stumbling block to progress in both talks at the summit.", "hypothesis": "There were two talks at the summit.", "label": "E", "metadata": {"context1": "The other, initiated in Uganda, is called the Kampala Process.", "context2": "Diplomats from the United Nations, the US, the African Union, and other diplomats from the so-called Great Lakes region of sub-Saharan Africa have gotten involved in both talks due to the worsening humanitarian crisis this summer.", "target_sentence": "M23 is not seen as the stumbling block to progress in both talks at the summit.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.37, 97.3, 100.0, 100.0, 100.0]}}
+{"uid": "719", "premise": "The other, initiated in Uganda, is called the Kampala Process. Diplomats from the United Nations, the US, the African Union, and other diplomats from the so-called Great Lakes region of sub-Saharan Africa have gotten involved in both talks due to the worsening humanitarian crisis this summer. M23 is seen as the stumbling block to progress in both talks at the summit.", "hypothesis": "There were two talks at the summit.", "label": "E", "metadata": {"context1": "The other, initiated in Uganda, is called the Kampala Process.", "context2": "Diplomats from the United Nations, the US, the African Union, and other diplomats from the so-called Great Lakes region of sub-Saharan Africa have gotten involved in both talks due to the worsening humanitarian crisis this summer.", "target_sentence": "M23 is seen as the stumbling block to progress in both talks at the summit.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SL", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [98.92, 97.79, 44.46, 99.49, 100.0]}}
+{"uid": "721-neg", "premise": "She was right. I'd worked in television, one way or another, ever since I graduated from Emerson College. I smiled and didn't hold up both hands covered in mud in protest.", "hypothesis": "I had two hands covered in mud.", "label": "E", "metadata": {"context1": "She was right.", "context2": "I'd worked in television, one way or another, ever since I graduated from Emerson College.", "target_sentence": "I smiled and didn't hold up both hands covered in mud in protest.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SL", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [99.37, 99.34, 100.0, 53.9, 100.0]}}
+{"uid": "721", "premise": "She was right. I'd worked in television, one way or another, ever since I graduated from Emerson College. I smiled and held up both hands covered in mud in protest.", "hypothesis": "I had two hands covered in mud.", "label": "E", "metadata": {"context1": "She was right.", "context2": "I'd worked in television, one way or another, ever since I graduated from Emerson College.", "target_sentence": "I smiled and held up both hands covered in mud in protest.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [100.0, 100.0, 100.0, 99.4, 50.6]}}
+{"uid": "725-neg", "premise": "Speaker B: And she's a hero at heart.\nSpeaker A: The difference between a victim and a hero is perception. Both people who were extremely popular haven't survived.", "hypothesis": "There were two people who were extremely popular.", "label": "E", "metadata": {"context1": "And she's a hero at heart.", "context2": "The difference between a victim and a hero is perception.", "target_sentence": "Both people who were extremely popular haven't survived.", "speaker_context1": "HEATHER-WARE-NELSO", "speaker_context2": "MARGEE-KERR", "speaker_target": "MARGEE-KERR", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "725", "premise": "Speaker B: And she's a hero at heart.\nSpeaker A: The difference between a victim and a hero is perception. Both people who were extremely popular have survived.", "hypothesis": "There were two people who were extremely popular.", "label": "E", "metadata": {"context1": "And she's a hero at heart.", "context2": "The difference between a victim and a hero is perception.", "target_sentence": "Both people who were extremely popular have survived.", "speaker_context1": "HEATHER-WARE-NELSO", "speaker_context2": "MARGEE-KERR", "speaker_target": "MARGEE-KERR", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'Both'}", "trigger_type": "numeric_determiners", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [95.65, 100.0, 99.46, 100.0, 100.0]}}
+{"uid": "726-neg", "premise": " The senator is calling for the withdrawal of combat brigades, but has said a residual force would still pursue extremist militants, protect American troops and train Iraqi security forces. // In negotiations on the future troop presence, both sides of the war weren't initially focused on concluding a long-term security agreement.", "hypothesis": "There were two sides of the war.", "label": "E", "metadata": {"context1": "", "context2": "The senator is calling for the withdrawal of combat brigades, but has said a residual force would still pursue extremist militants, protect American troops and train Iraqi security forces. //", "target_sentence": "In negotiations on the future troop presence, both sides of the war weren't initially focused on concluding a long-term security agreement.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.75, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "726", "premise": " The senator is calling for the withdrawal of combat brigades, but has said a residual force would still pursue extremist militants, protect American troops and train Iraqi security forces. // In negotiations on the future troop presence, both sides of the war were initially focused on concluding a long-term security agreement.", "hypothesis": "There were two sides of the war.", "label": "E", "metadata": {"context1": "", "context2": "The senator is calling for the withdrawal of combat brigades, but has said a residual force would still pursue extremist militants, protect American troops and train Iraqi security forces. //", "target_sentence": "In negotiations on the future troop presence, both sides of the war were initially focused on concluding a long-term security agreement.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SL", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [97.25, 99.59, 71.01, 100.0, 100.0]}}
+{"uid": "729-neg", "premise": "But Adam, the Republicans have been doing that to Bill Clinton! We--I mean, we--we got to play even here. Either all sides quit, or both sides on the extreme ends don't go to nuclear war.", "hypothesis": "There are two sides on the extreme ends.", "label": "E", "metadata": {"context1": "But Adam, the Republicans have been doing that to Bill Clinton!", "context2": "We--I mean, we--we got to play even here.", "target_sentence": "Either all sides quit, or both sides on the extreme ends don't go to nuclear war.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SL", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 100.0, 59.09, 100.0, 100.0]}}
+{"uid": "729", "premise": "But Adam, the Republicans have been doing that to Bill Clinton! We--I mean, we--we got to play even here. Either all sides quit, or both sides on the extreme ends go to nuclear war.", "hypothesis": "There are two sides on the extreme ends.", "label": "E", "metadata": {"context1": "But Adam, the Republicans have been doing that to Bill Clinton!", "context2": "We--I mean, we--we got to play even here.", "target_sentence": "Either all sides quit, or both sides on the extreme ends go to nuclear war.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SL", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 100.0, 100.0, 72.61, 100.0]}}
+{"uid": "73-neg", "premise": "  Instead, it's not Everton who have been nurturing the best players from Merseyside in recent years, with Ross Barkley, Luke Garbutt, Matthew Pennington and Tyias Browning among those from the local area to have made their debuts for the Blues.", "hypothesis": "Someone has been nurturing the best playsers from Merseyside in recent years.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "Instead, it's not Everton who have been nurturing the best players from Merseyside in recent years, with Ross Barkley, Luke Garbutt, Matthew Pennington and Tyias Browning among those from the local area to have made their debuts for the Blues.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 87.85, 100.0, 100.0]}}
+{"uid": "73", "premise": "  Instead, it's Everton who have been nurturing the best players from Merseyside in recent years, with Ross Barkley, Luke Garbutt, Matthew Pennington and Tyias Browning among those from the local area to have made their debuts for the Blues.", "hypothesis": "Someone has been nurturing the best playsers from Merseyside in recent years.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "Instead, it's Everton who have been nurturing the best players from Merseyside in recent years, with Ross Barkley, Luke Garbutt, Matthew Pennington and Tyias Browning among those from the local area to have made their debuts for the Blues.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "ZZ", "nli_labels": ["N", "E", "E", "N", "E"], "ratings": [90.5, 100.0, 99.87, 74.44, 100.0]}}
+{"uid": "733-neg", "premise": " Extensive time was saved in retrieval and analysis of GIS data over conventional paper mapping-specifically, in circumstances under which the CFR method would be preferred (i.e., small systems with few resources). The overcapture of large areas as a result of the CFR method cannot waste time, money, both of the water systems in the province and of government agencies in the country.", "hypothesis": "There are two water systems in the province and two government agencies in the country.", "label": "N", "metadata": {"context1": "", "context2": "Extensive time was saved in retrieval and analysis of GIS data over conventional paper mapping-specifically, in circumstances under which the CFR method would be preferred (i.e., small systems with few resources).", "target_sentence": "The overcapture of large areas as a result of the CFR method cannot waste time, money, both of the water systems in the province and of government agencies in the country.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SL", "nli_labels": ["C", "E", "N", "N", "N"], "ratings": [1.12, 100.0, 73.66, 51.95, 49.55]}}
+{"uid": "733", "premise": " Extensive time was saved in retrieval and analysis of GIS data over conventional paper mapping-specifically, in circumstances under which the CFR method would be preferred (i.e., small systems with few resources). The overcapture of large areas as a result of the CFR method can waste time, money, both of the water systems in the province and of government agencies in the country.", "hypothesis": "There are two water systems in the province and two government agencies in the country.", "label": "N", "metadata": {"context1": "", "context2": "Extensive time was saved in retrieval and analysis of GIS data over conventional paper mapping-specifically, in circumstances under which the CFR method would be preferred (i.e., small systems with few resources).", "target_sentence": "The overcapture of large areas as a result of the CFR method can waste time, money, both of the water systems in the province and of government agencies in the country.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SL", "nli_labels": ["N", "N", "N", "C", "N"], "ratings": [50.6, 11.3, 66.31, 0.0, 61.15]}}
+{"uid": "735-neg", "premise": "  A joint mailer sent out by the proponents of Proposition 60, which would require condom use in adult films, and Proposition 61, which seeks to lower drug prices for state agencies, does not urge voters to vote for both measures supported by the advocacy group.", "hypothesis": "There are two measures supported by the advocacy group.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "A joint mailer sent out by the proponents of Proposition 60, which would require condom use in adult films, and Proposition 61, which seeks to lower drug prices for state agencies, does not urge voters to vote for both measures supported by the advocacy group.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SL", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [99.46, 100.0, 100.0, 46.7, 100.0]}}
+{"uid": "735", "premise": "  A joint mailer sent out by the proponents of Proposition 60, which would require condom use in adult films, and Proposition 61, which seeks to lower drug prices for state agencies, urges voters to vote for both measures supported by the advocacy group.", "hypothesis": "There are two measures supported by the advocacy group.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "A joint mailer sent out by the proponents of Proposition 60, which would require condom use in adult films, and Proposition 61, which seeks to lower drug prices for state agencies, urges voters to vote for both measures supported by the advocacy group.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 97.88, 100.0, 100.0, 100.0]}}
+{"uid": "738-neg", "premise": " yes to beautiful florals and full-sleeved, raised-waist dresses that look both cutting-edge and potentially classic ( Thakoon didn't nail both ideas which appealed to the public); yes to statement jewels, be they real or costume, that make us smile, glitter, and transform an outfit from day to night.", "hypothesis": "There are two ideas which appealed to the public.", "label": "E", "metadata": {"context1": "", "context2": "yes to beautiful florals and full-sleeved, raised-waist dresses that look both cutting-edge and potentially classic", "target_sentence": "( Thakoon didn't nail both ideas which appealed to the public); yes to statement jewels, be they real or costume, that make us smile, glitter, and transform an outfit from day to night.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SL", "nli_labels": ["N", "E", "C", "E", "E"], "ratings": [95.9, 99.79, 0.0, 100.0, 89.26]}}
+{"uid": "738", "premise": " yes to beautiful florals and full-sleeved, raised-waist dresses that look both cutting-edge and potentially classic ( Thakoon nailed both ideas which appealed to the public); yes to statement jewels, be they real or costume, that make us smile, glitter, and transform an outfit from day to night.", "hypothesis": "There are two ideas which appealed to the public.", "label": "E", "metadata": {"context1": "", "context2": "yes to beautiful florals and full-sleeved, raised-waist dresses that look both cutting-edge and potentially classic", "target_sentence": "( Thakoon nailed both ideas which appealed to the public); yes to statement jewels, be they real or costume, that make us smile, glitter, and transform an outfit from day to night.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'both'}", "trigger_type": "numeric_determiners", "annotator": "SL", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 99.71, 99.75, 41.05, 100.0]}}
+{"uid": "739-neg", "premise": "That offer would remain on the table, at least under Barak.  Israel didn't reunite Jerusalem in the 1967 war, forcing Jordanian troops out of East Jerusalem, which they had held for two decades.", "hypothesis": "Jerusalem was united at some point before 1967.", "label": "E", "metadata": {"context1": "That offer would remain on the table, at least under Barak.", "context2": "", "target_sentence": "Israel didn't reunite Jerusalem in the 1967 war, forcing Jordanian troops out of East Jerusalem, which they had held for two decades.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reunited'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["E", "E", "C", "N", "E"], "ratings": [98.02, 100.0, 0.29, 50.0, 93.98]}}
+{"uid": "739", "premise": "That offer would remain on the table, at least under Barak.  Israel reunited Jerusalem in the 1967 war, forcing Jordanian troops out of East Jerusalem, which they had held for two decades.", "hypothesis": "Jerusalem was united at some point before 1967.", "label": "E", "metadata": {"context1": "That offer would remain on the table, at least under Barak.", "context2": "", "target_sentence": "Israel reunited Jerusalem in the 1967 war, forcing Jordanian troops out of East Jerusalem, which they had held for two decades.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reunited'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["N", "E", "C", "E", "E"], "ratings": [88.23, 100.0, 0.84, 100.0, 96.49]}}
+{"uid": "74-neg", "premise": "And again. Getting close to the court now, she watched the ball machine spitting the balls out while Bryan with his increasingly powerful arms rolled the streamlined chair rapidly from one side to the other. And it wasn't his same masterful stroke that was placing the balls back on the other side just where he wanted them.", "hypothesis": "Something was placing the balls back on the other side just where he wanted them.", "label": "E", "metadata": {"context1": "And again.", "context2": "Getting close to the court now, she watched the ball machine spitting the balls out while Bryan with his increasingly powerful arms rolled the streamlined chair rapidly from one side to the other.", "target_sentence": "And it wasn't his same masterful stroke that was placing the balls back on the other side just where he wanted them.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 98.29]}}
+{"uid": "74", "premise": "And again. Getting close to the court now, she watched the ball machine spitting the balls out while Bryan with his increasingly powerful arms rolled the streamlined chair rapidly from one side to the other. And it was his same masterful stroke that was placing the balls back on the other side just where he wanted them.", "hypothesis": "Something was placing the balls back on the other side just where he wanted them.", "label": "E", "metadata": {"context1": "And again.", "context2": "Getting close to the court now, she watched the ball machine spitting the balls out while Bryan with his increasingly powerful arms rolled the streamlined chair rapidly from one side to the other.", "target_sentence": "And it was his same masterful stroke that was placing the balls back on the other side just where he wanted them.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 94.81, 100.0, 100.0, 100.0]}}
+{"uid": "740-neg", "premise": "I'm a middle-class guy, Leopoulos wrote, and I don't understand NAFTA. He urged the president to explain the treaty in terms he could comprehend. Clinton didn't rewrite his speeches keeping Leopoulos in mind.", "hypothesis": "Clinton's speeches were already written before Clinton considered Leopoulos's comments.", "label": "E", "metadata": {"context1": "I'm a middle-class guy, Leopoulos wrote, and I don't understand NAFTA.", "context2": "He urged the president to explain the treaty in terms he could comprehend.", "target_sentence": "Clinton didn't rewrite his speeches keeping Leopoulos in mind.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'rewrote'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "N", "N"], "ratings": [94.94, 98.62, 98.88, 77.1, 50.15]}}
+{"uid": "741-neg", "premise": "NRC will also accept cancellations.  NRC's annual membership meeting, where new directors are elected, also hasn't been rescheduled for January.", "hypothesis": "NRC's annual membership meeting was scheduled before.", "label": "E", "metadata": {"context1": "NRC will also accept cancellations.", "context2": "", "target_sentence": "NRC's annual membership meeting, where new directors are elected, also hasn't been rescheduled for January.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'rescheduled'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [72.48, 98.58, 100.0, 93.62, 99.12]}}
+{"uid": "741", "premise": "NRC will also accept cancellations.  NRC's annual membership meeting, where new directors are elected, also has been rescheduled for January.", "hypothesis": "NRC's annual membership meeting was scheduled before.", "label": "E", "metadata": {"context1": "NRC will also accept cancellations.", "context2": "", "target_sentence": "NRC's annual membership meeting, where new directors are elected, also has been rescheduled for January.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'rescheduled'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "744-neg", "premise": "It rated a \"poor.\" THOMPSON: But Daimler-Chrysler didn't redesign the Dodge Ram for 2002.", "hypothesis": "The Dodge Ram was designed before 2002.", "label": "E", "metadata": {"context1": "It rated a \"poor.\"", "context2": "THOMPSON:", "target_sentence": "But Daimler-Chrysler didn't redesign the Dodge Ram for 2002.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'redesigned'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 99.99]}}
+{"uid": "744", "premise": "It rated a \"poor.\" THOMPSON: But Daimler-Chrysler redesigned the Dodge Ram for 2002.", "hypothesis": "The Dodge Ram was designed before 2002.", "label": "E", "metadata": {"context1": "It rated a \"poor.\"", "context2": "THOMPSON:", "target_sentence": "But Daimler-Chrysler redesigned the Dodge Ram for 2002.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'redesigned'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [100.0, 99.54, 100.0, 100.0, 51.05]}}
+{"uid": "745-neg", "premise": "( Voiceover ) The legacy is that Ronald Reagan redefined the mainstream. He didn't rewrite the ingredients of what comprised it.", "hypothesis": "The ingredients of what comprised it were written before.", "label": "E", "metadata": {"context1": "( Voiceover )", "context2": "The legacy is that Ronald Reagan redefined the mainstream.", "target_sentence": "He didn't rewrite the ingredients of what comprised it.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'rewrote'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [89.89, 99.22, 99.4, 100.0, 83.97]}}
+{"uid": "745", "premise": "( Voiceover ) The legacy is that Ronald Reagan redefined the mainstream. He rewrote the ingredients of what comprised it.", "hypothesis": "The ingredients of what comprised it were written before.", "label": "N", "metadata": {"context1": "( Voiceover )", "context2": "The legacy is that Ronald Reagan redefined the mainstream.", "target_sentence": "He rewrote the ingredients of what comprised it.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'rewrote'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["N", "E", "N", "N", "E"], "ratings": [86.87, 100.0, 76.1, 22.9, 89.17]}}
+{"uid": "746", "premise": " When the Great Exhibition closed, the Crystal Palace was dismantled, removed from Hyde Park, and re-erected at Sydenham. Paxton's glass and iron building reopened in June 1854, with George Grove serving as secretary to the new corporation.", "hypothesis": "Paxton's glass and iron building were open before June 1854.", "label": "E", "metadata": {"context1": "", "context2": "When the Great Exhibition closed, the Crystal Palace was dismantled, removed from Hyde Park, and re-erected at Sydenham.", "target_sentence": "Paxton's glass and iron building reopened in June 1854, with George Grove serving as secretary to the new corporation.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reopened'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "748-neg", "premise": "She tells her story in a halting whisper and refuses to give her full name. But she has learned to read and write, to sew and to cut hair. She won't rejoin her family.", "hypothesis": "She joined (saw) her family before.", "label": "E", "metadata": {"context1": "She tells her story in a halting whisper and refuses to give her full name.", "context2": "But she has learned to read and write, to sew and to cut hair.", "target_sentence": "She won't rejoin her family.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'rejoin'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 32.15, 100.0, 100.0, 100.0]}}
+{"uid": "748", "premise": "She tells her story in a halting whisper and refuses to give her full name. But she has learned to read and write, to sew and to cut hair. She will rejoin her family.", "hypothesis": "She joined (saw) her family before.", "label": "E", "metadata": {"context1": "She tells her story in a halting whisper and refuses to give her full name.", "context2": "But she has learned to read and write, to sew and to cut hair.", "target_sentence": "She will rejoin her family.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'rejoin'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 100.0, 82.09, 99.97, 100.0]}}
+{"uid": "749-neg", "premise": "I can probably figure it out from here. But it was familiar work, not at all difficult, and in half a minute Jim was done anyway. With a theatrical flourish, he didn't restart the program.", "hypothesis": "Jim started the program before.", "label": "E", "metadata": {"context1": "I can probably figure it out from here.", "context2": "But it was familiar work, not at all difficult, and in half a minute Jim was done anyway.", "target_sentence": "With a theatrical flourish, he didn't restart the program.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'restarted'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [99.69, 97.3, 96.2, 100.0, 95.4]}}
+{"uid": "749", "premise": "I can probably figure it out from here. But it was familiar work, not at all difficult, and in half a minute Jim was done anyway. With a theatrical flourish, he restarted the program.", "hypothesis": "Jim started the program before.", "label": "E", "metadata": {"context1": "I can probably figure it out from here.", "context2": "But it was familiar work, not at all difficult, and in half a minute Jim was done anyway.", "target_sentence": "With a theatrical flourish, he restarted the program.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'restarted'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [91.27, 100.0, 100.0, 89.89, 87.17]}}
+{"uid": "75-neg", "premise": "We need food labels on pet food that we can read, and calorie counts should be on them. #Raisins, grapes or macadamia nuts, onions, garlic and chocolate. Little amounts really won't do any harm; it's not pounds that causes problems.", "hypothesis": "Some amounts cause problems.", "label": "N", "metadata": {"context1": "We need food labels on pet food that we can read, and calorie counts should be on them.", "context2": "#Raisins, grapes or macadamia nuts, onions, garlic and chocolate.", "target_sentence": "Little amounts really won't do any harm; it's not pounds that causes problems.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "ZZ", "nli_labels": ["E", "N", "N", "E", "N"], "ratings": [95.59, 58.95, 75.72, 100.0, 88.89]}}
+{"uid": "75", "premise": "We need food labels on pet food that we can read, and calorie counts should be on them. #Raisins, grapes or macadamia nuts, onions, garlic and chocolate. Little amounts really won't do any harm; it's pounds that causes problems.", "hypothesis": "Some amounts cause problems.", "label": "N", "metadata": {"context1": "We need food labels on pet food that we can read, and calorie counts should be on them.", "context2": "#Raisins, grapes or macadamia nuts, onions, garlic and chocolate.", "target_sentence": "Little amounts really won't do any harm; it's pounds that causes problems.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "ZZ", "nli_labels": ["N", "E", "N", "N", "E"], "ratings": [87.85, 96.31, 12.54, 61.15, 97.04]}}
+{"uid": "750-neg", "premise": "A corrections company hired 140 locals to help build a large prison complex. More importantly, once the prison was up and running in 2012, it would provide Millen with more than 200 permanent jobs. In the old industrial area, Stitch N Print, a small clothing manufacturer that left Millen in 2009, hadn't reopened.", "hypothesis": "Stitch N Print was open in the past.", "label": "E", "metadata": {"context1": "A corrections company hired 140 locals to help build a large prison complex.", "context2": "More importantly, once the prison was up and running in 2012, it would provide Millen with more than 200 permanent jobs.", "target_sentence": "In the old industrial area, Stitch N Print, a small clothing manufacturer that left Millen in 2009, hadn't reopened.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reopened'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "750", "premise": "A corrections company hired 140 locals to help build a large prison complex. More importantly, once the prison was up and running in 2012, it would provide Millen with more than 200 permanent jobs. In the old industrial area, Stitch N Print, a small clothing manufacturer that left Millen in 2009, had reopened.", "hypothesis": "Stitch N Print was open in the past.", "label": "E", "metadata": {"context1": "A corrections company hired 140 locals to help build a large prison complex.", "context2": "More importantly, once the prison was up and running in 2012, it would provide Millen with more than 200 permanent jobs.", "target_sentence": "In the old industrial area, Stitch N Print, a small clothing manufacturer that left Millen in 2009, had reopened.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reopened'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 94.74, 99.73, 100.0]}}
+{"uid": "751", "premise": "A key observation is that a program behaves nondeterministically only at certain execution points, such as clock interrupts and I / O. By logging all the nondeterministic execution points, you can faithfully replay the entire program.", "hypothesis": "Someone played the entire program before.", "label": "E", "metadata": {"context1": "A key observation is that a program behaves nondeterministically only at certain execution points, such as clock interrupts and I", "context2": "/ O.", "target_sentence": "By logging all the nondeterministic execution points, you can faithfully replay the entire program.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'replay'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["E", "N", "N", "E", "E"], "ratings": [99.94, 79.42, 50.6, 100.0, 84.93]}}
+{"uid": "752-neg", "premise": "Michael Beschloss, a valuable non-academic historian, has now given us The Conquerors, a bestselling account of Presidents Franklin Roosevelt and Harry Truman as wartime leaders. Much of this is based on newly available archive material in London, Moscow, and elsewhere. Beschloss hasn't reopened the vexed matter of President Roosevelt's decision not to order the U.S. bombers to attack the rail links to the death factories or the camps themselves, which decision Beschloss considers gravely mistaken.", "hypothesis": "Someone previously opened the vexed matter of President Roosevelt's decision not to order the U.S. bombers to attack the rail links to the death factories or the camps themselves.", "label": "E", "metadata": {"context1": "Michael Beschloss, a valuable non-academic historian, has now given us The Conquerors, a bestselling account of Presidents Franklin Roosevelt and Harry Truman as wartime leaders.", "context2": "Much of this is based on newly available archive material in London, Moscow, and elsewhere.", "target_sentence": "Beschloss hasn't reopened the vexed matter of President Roosevelt's decision not to order the U.S. bombers to attack the rail links to the death factories or the camps themselves, which decision Beschloss considers gravely mistaken.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reopened'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["N", "E", "E", "N", "E"], "ratings": [80.36, 100.0, 97.74, 82.65, 100.0]}}
+{"uid": "752", "premise": "Michael Beschloss, a valuable non-academic historian, has now given us The Conquerors, a bestselling account of Presidents Franklin Roosevelt and Harry Truman as wartime leaders. Much of this is based on newly available archive material in London, Moscow, and elsewhere. Beschloss has reopened the vexed matter of President Roosevelt's decision not to order the U.S. bombers to attack the rail links to the death factories or the camps themselves, which decision Beschloss considers gravely mistaken.", "hypothesis": "Someone previously opened the vexed matter of President Roosevelt's decision not to order the U.S. bombers to attack the rail links to the death factories or the camps themselves.", "label": "E", "metadata": {"context1": "Michael Beschloss, a valuable non-academic historian, has now given us The Conquerors, a bestselling account of Presidents Franklin Roosevelt and Harry Truman as wartime leaders.", "context2": "Much of this is based on newly available archive material in London, Moscow, and elsewhere.", "target_sentence": "Beschloss has reopened the vexed matter of President Roosevelt's decision not to order the U.S. bombers to attack the rail links to the death factories or the camps themselves, which decision Beschloss considers gravely mistaken.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reopened'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [67.85, 89.07, 96.88, 100.0, 100.0]}}
+{"uid": "754-neg", "premise": "I believe that the way forward is that we insist that both sides--Israel and the Palestinian Authority--comply with their commitments. We complied with our commitment under the Oslo process. We didn't redeploy from Hebron.", "hypothesis": "We deployed in the past.", "label": "E", "metadata": {"context1": "I believe that the way forward is that we insist that both sides--Israel and the Palestinian Authority--comply with their commitments.", "context2": "We complied with our commitment under the Oslo process.", "target_sentence": "We didn't redeploy from Hebron.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'redeployed'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 97.45, 100.0, 99.54, 100.0]}}
+{"uid": "754", "premise": "I believe that the way forward is that we insist that both sides--Israel and the Palestinian Authority--comply with their commitments. We complied with our commitment under the Oslo process. We redeployed from Hebron.", "hypothesis": "We deployed in the past.", "label": "E", "metadata": {"context1": "I believe that the way forward is that we insist that both sides--Israel and the Palestinian Authority--comply with their commitments.", "context2": "We complied with our commitment under the Oslo process.", "target_sentence": "We redeployed from Hebron.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'redeployed'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.57, 99.79, 97.98, 99.91, 100.0]}}
+{"uid": "757-neg", "premise": "Yet the paradox of Al Davis is that the owner who savored secrecy and intrigue, and disdained public relations, held the most fascinating news conferences imaginable. The same man who could be so stubborn and cheap with players and coaches who emerged as faces of the franchise see: Marcus Allen, Jon Gruden also had a deep legion of loyalists who had gone to battle for him. The owner's way didn't redefined the sport in so many ways.", "hypothesis": "The sport was defined before.", "label": "E", "metadata": {"context1": "Yet the paradox of Al Davis is that the owner who savored secrecy and intrigue, and disdained public relations, held the most fascinating news conferences imaginable.", "context2": "The same man who could be so stubborn and cheap with players and coaches who emerged as faces of the franchise see: Marcus Allen, Jon Gruden also had a deep legion of loyalists who had gone to battle for him.", "target_sentence": "The owner's way didn't redefined the sport in so many ways.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'redefined'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [95.71, 97.88, 97.74, 99.31, 96.2]}}
+{"uid": "757", "premise": "Yet the paradox of Al Davis is that the owner who savored secrecy and intrigue, and disdained public relations, held the most fascinating news conferences imaginable. The same man who could be so stubborn and cheap with players and coaches who emerged as faces of the franchise see: Marcus Allen, Jon Gruden also had a deep legion of loyalists who had gone to battle for him. His way redefined the sport in so many ways.", "hypothesis": "The sport was defined before.", "label": "E", "metadata": {"context1": "Yet the paradox of Al Davis is that the owner who savored secrecy and intrigue, and disdained public relations, held the most fascinating news conferences imaginable.", "context2": "The same man who could be so stubborn and cheap with players and coaches who emerged as faces of the franchise see: Marcus Allen, Jon Gruden also had a deep legion of loyalists who had gone to battle for him.", "target_sentence": "His way redefined the sport in so many ways.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'redefined'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [99.37, 100.0, 98.33, 62.45, 100.0]}}
+{"uid": "758-neg", "premise": "  By noon, Sir Maxwell hasn't reread the article.", "hypothesis": "Sir Maxwell read the article before.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "By noon, Sir Maxwell hasn't reread the article.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reread'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 97.35, 98.41, 100.0]}}
+{"uid": "758", "premise": "  By noon, Sir Maxwell has reread the article.", "hypothesis": "Sir Maxwell read the article before.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "By noon, Sir Maxwell has reread the article.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reread'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.57, 100.0, 99.02, 100.0]}}
+{"uid": "759-neg", "premise": "All forms of travel along the East Coast remained difficult, if not downright dangerous, with ripple effects across the nation. Airports tried to get back up and flying, to an extent, in the face of up to 6,000 canceled flights this week, by some estimates. Washingtons three airports didn't reopen.", "hypothesis": "Washingtons three airports were open before.", "label": "E", "metadata": {"context1": "All forms of travel along the East Coast remained difficult, if not downright dangerous, with ripple effects across the nation.", "context2": "Airports tried to get back up and flying, to an extent, in the face of up to 6,000 canceled flights this week, by some estimates.", "target_sentence": "Washingtons three airports didn't reopen.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reopened'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "759", "premise": "All forms of travel along the East Coast remained difficult, if not downright dangerous, with ripple effects across the nation. Airports tried to get back up and flying, to an extent, in the face of up to 6,000 canceled flights this week, by some estimates. Washingtons three airports reopened.", "hypothesis": "Washingtons three airports were open before.", "label": "E", "metadata": {"context1": "All forms of travel along the East Coast remained difficult, if not downright dangerous, with ripple effects across the nation.", "context2": "Airports tried to get back up and flying, to an extent, in the face of up to 6,000 canceled flights this week, by some estimates.", "target_sentence": "Washingtons three airports reopened.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reopened'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.84, 100.0, 92.01, 100.0, 100.0]}}
+{"uid": "76-neg", "premise": "( n21 ) The transformation of the tourist in her spiritual quest is often supposed to take place by the encounter of the modern (or hypermodern) (n22) subject with the authentic local subject who has been untouched by modernity. The tourist does not remain unchanged, while the natives are forced to change to accommodate tourists.", "hypothesis": "The tourist had not already changed.", "label": "N", "metadata": {"context1": "( n21 )", "context2": "The transformation of the tourist in her spiritual quest is often supposed to take place by the encounter of the modern (or hypermodern) (n22) subject with the authentic local subject who has been untouched by modernity.", "target_sentence": "The tourist does not remain unchanged, while the natives are forced to change to accommodate tourists.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "ZZ", "nli_labels": ["C", "N", "N", "N", "C"], "ratings": [0.72, 2.5, 6.31, 7.52, 0.25]}}
+{"uid": "76", "premise": "( n21 ) The transformation of the tourist in her spiritual quest is often supposed to take place by the encounter of the modern (or hypermodern) (n22) subject with the authentic local subject who has been untouched by modernity. The tourist remains unchanged, while the natives are forced to change to accommodate tourists.", "hypothesis": "The tourist had not already changed.", "label": "E", "metadata": {"context1": "( n21 )", "context2": "The transformation of the tourist in her spiritual quest is often supposed to take place by the encounter of the modern (or hypermodern) (n22) subject with the authentic local subject who has been untouched by modernity.", "target_sentence": "The tourist remains unchanged, while the natives are forced to change to accommodate tourists.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "ZZ", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [98.81, 97.09, 81.52, 99.16, 98.33]}}
+{"uid": "762-neg", "premise": "In our time, people associate both compassion and the Left with the welfare state, which doesn't just appeal to the conscience of the rich but proceeds to punish them, albeit only through taxation. It defines the rich generously, also taxing the middle class. The welfare state thereby doesn't redistribute the wealth of the society, some of which trickles down to the poor--and much of which sustains the legions of non-poor assigned to assist them.", "hypothesis": "The wealth of the society was distributed before.", "label": "N", "metadata": {"context1": "In our time, people associate both compassion and the Left with the welfare state, which doesn't just appeal to the conscience of the rich but proceeds to punish them, albeit only through taxation.", "context2": "It defines the rich generously, also taxing the middle class.", "target_sentence": "The welfare state thereby doesn't redistribute the wealth of the society, some of which trickles down to the poor--and much of which sustains the legions of non-poor assigned to assist them.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'redistributes'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["N", "N", "E", "N", "N"], "ratings": [71.95, 75.98, 100.0, 73.79, 84.08]}}
+{"uid": "762", "premise": "In our time, people associate both compassion and the Left with the welfare state, which doesn't just appeal to the conscience of the rich but proceeds to punish them, albeit only through taxation. It defines the rich generously, also taxing the middle class. It thereby redistributes the wealth of the society, some of which trickles down to the poor--and much of which sustains the legions of non-poor assigned to assist them.", "hypothesis": "The wealth of the society was distributed before.", "label": "E", "metadata": {"context1": "In our time, people associate both compassion and the Left with the welfare state, which doesn't just appeal to the conscience of the rich but proceeds to punish them, albeit only through taxation.", "context2": "It defines the rich generously, also taxing the middle class.", "target_sentence": "It thereby redistributes the wealth of the society, some of which trickles down to the poor--and much of which sustains the legions of non-poor assigned to assist them.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'redistributes'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.34, 100.0, 94.61, 100.0, 99.79]}}
+{"uid": "763", "premise": "A show trial was held. Somehow my parents fought their way out, but one friend got five years and another got three and a half for subversion of the Republic. They officiaUy relocated several other of our frequent guests to isolated border regions in the north.", "hypothesis": "Several other of our frequent guests were previously located somewhere other than isolated border regions in the north.", "label": "E", "metadata": {"context1": "A show trial was held.", "context2": "Somehow my parents fought their way out, but one friend got five years and another got three and a half for subversion of the Republic.", "target_sentence": "They officiaUy relocated several other of our frequent guests to isolated border regions in the north.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'relocated'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["E", "N", "E", "C", "E"], "ratings": [100.0, 6.75, 100.0, 1.5, 100.0]}}
+{"uid": "766-neg", "premise": "\"It's not as bad as it looks,\" he told them. \"They go together p46 like--this.\" He didn't reassemble the mechanism.", "hypothesis": "The mechanism was assembled before.", "label": "E", "metadata": {"context1": "\"It's not as bad as it looks,\" he told them.", "context2": "\"They go together p46 like--this.\"", "target_sentence": "He didn't reassemble the mechanism.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reassembled'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "766", "premise": "\"It's not as bad as it looks,\" he told them. \"They go together p46 like--this.\" He reassembled the mechanism.", "hypothesis": "The mechanism was assembled before.", "label": "E", "metadata": {"context1": "\"It's not as bad as it looks,\" he told them.", "context2": "\"They go together p46 like--this.\"", "target_sentence": "He reassembled the mechanism.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reassembled'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.88, 100.0, 100.0, 99.37]}}
+{"uid": "769-neg", "premise": " \"I don't know anybody here,\" said Jeffrey Gardiner, vice president of marketing for Media1st.com, an Internet broadcasting company. \" I didn't relocate from D.C., and I work 80 hours a week.", "hypothesis": "\" I was located somewhere before.", "label": "E", "metadata": {"context1": "", "context2": "\"I don't know anybody here,\" said Jeffrey Gardiner, vice president of marketing for Media1st.com, an Internet broadcasting company.", "target_sentence": "\" I didn't relocate from D.C., and I work 80 hours a week.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'relocated'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 6.75, 100.0, 100.0, 100.0]}}
+{"uid": "769", "premise": " \"I don't know anybody here,\" said Jeffrey Gardiner, vice president of marketing for Media1st.com, an Internet broadcasting company. \" I relocated from D.C., and I work 80 hours a week.", "hypothesis": "\" I was located somewhere before.", "label": "E", "metadata": {"context1": "", "context2": "\"I don't know anybody here,\" said Jeffrey Gardiner, vice president of marketing for Media1st.com, an Internet broadcasting company.", "target_sentence": "\" I relocated from D.C., and I work 80 hours a week.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'relocated'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.83, 99.9, 100.0, 100.0, 100.0]}}
+{"uid": "770", "premise": " Diggs said changes to the planned conference should go beyond such cosmetic aspects as the revised brochure wording, which now portrays work on a genes-and-crime connection as \"one of the most controversial pursuits in human genetics research.\" David Wasserman, the conference organizer, rewrote the brochure after receiving numerous phone calls from people who had seen it and were confused.", "hypothesis": "The brochure was written before.", "label": "E", "metadata": {"context1": "", "context2": "Diggs said changes to the planned conference should go beyond such cosmetic aspects as the revised brochure wording, which now portrays work on a genes-and-crime connection as \"one of the most controversial pursuits in human genetics research.\"", "target_sentence": "David Wasserman, the conference organizer, rewrote the brochure after receiving numerous phone calls from people who had seen it and were confused.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'rewrote'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 98.99, 100.0, 99.46, 100.0]}}
+{"uid": "771-neg", "premise": "\"It was like going back in a time capsule.\" Over the course of his long ordeal, Zimmer lost the ability to speak and walk. He didn't regain both the abilities to speak and walk.", "hypothesis": "Zimmer was able to speak and walk before.", "label": "E", "metadata": {"context1": "\"It was like going back in a time capsule.\"", "context2": "Over the course of his long ordeal, Zimmer lost the ability to speak and walk.", "target_sentence": "He didn't regain both the abilities to speak and walk.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'regained'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.64, 99.79, 100.0, 98.77, 100.0]}}
+{"uid": "771", "premise": "\"It was like going back in a time capsule.\" Over the course of his long ordeal, Zimmer lost the ability to speak and walk. He regained both the abilities to speak and walk.", "hypothesis": "Zimmer was able to speak and walk before.", "label": "E", "metadata": {"context1": "\"It was like going back in a time capsule.\"", "context2": "Over the course of his long ordeal, Zimmer lost the ability to speak and walk.", "target_sentence": "He regained both the abilities to speak and walk.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'regained'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.51, 100.0, 100.0, 100.0]}}
+{"uid": "772-neg", "premise": " Beginning this season, teams with payrolls exceeding the salary cap (figured to be between $50 million and $55 million) will have to pay a dollar-for-dollar luxury tax on the overage. That money won't be redistributed to teams that do not exceed the threshold.", "hypothesis": "That money was previously distributed some way.", "label": "N", "metadata": {"context1": "", "context2": "Beginning this season, teams with payrolls exceeding the salary cap (figured to be between $50 million and $55 million) will have to pay a dollar-for-dollar luxury tax on the overage.", "target_sentence": "That money won't be redistributed to teams that do not exceed the threshold.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'redistributed'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["N", "N", "E", "N", "N"], "ratings": [49.1, 40.32, 100.0, 2.86, 87.56]}}
+{"uid": "772", "premise": " Beginning this season, teams with payrolls exceeding the salary cap (figured to be between $50 million and $55 million) will have to pay a dollar-for-dollar luxury tax on the overage. That money will be redistributed to teams that do not exceed the threshold.", "hypothesis": "That money was previously distributed some way.", "label": "N", "metadata": {"context1": "", "context2": "Beginning this season, teams with payrolls exceeding the salary cap (figured to be between $50 million and $55 million) will have to pay a dollar-for-dollar luxury tax on the overage.", "target_sentence": "That money will be redistributed to teams that do not exceed the threshold.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'redistributed'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["N", "C", "N", "E", "N"], "ratings": [70.06, 0.0, 10.38, 100.0, 33.97]}}
+{"uid": "774-neg", "premise": " The only issue before the court is the section of Proposition 13 that limits increases in assessed values to 2 percent a year, except when a property changes hands or for new construction. In those cases, the property isn't reassessed at current market value.", "hypothesis": "The property was assessed before.", "label": "E", "metadata": {"context1": "", "context2": "The only issue before the court is the section of Proposition 13 that limits increases in assessed values to 2 percent a year, except when a property changes hands or for new construction.", "target_sentence": "In those cases, the property isn't reassessed at current market value.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reassessed'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["E", "N", "E", "E", "N"], "ratings": [99.73, 84.51, 99.22, 100.0, 68.41]}}
+{"uid": "774", "premise": " The only issue before the court is the section of Proposition 13 that limits increases in assessed values to 2 percent a year, except when a property changes hands or for new construction. In those cases, the property is reassessed at current market value.", "hypothesis": "The property was assessed before.", "label": "E", "metadata": {"context1": "", "context2": "The only issue before the court is the section of Proposition 13 that limits increases in assessed values to 2 percent a year, except when a property changes hands or for new construction.", "target_sentence": "In those cases, the property is reassessed at current market value.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reassessed'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["N", "E", "E", "N", "E"], "ratings": [60.56, 100.0, 100.0, 74.18, 99.85]}}
+{"uid": "777", "premise": "Let me tell you about some of these folks. I wrote about them in my book. ( By the way, I reread this book last night and it's really quite wonderful. )", "hypothesis": "I read this book before.", "label": "E", "metadata": {"context1": "Let me tell you about some of these folks.", "context2": "I wrote about them in my book.", "target_sentence": "( By the way, I reread this book last night and it's really quite wonderful. )", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reread'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [98.37, 99.62, 84.4, 100.0, 100.0]}}
+{"uid": "778-neg", "premise": "voice-over Perhaps this case will lead to a rethinking of resuscitating dead babies. Ethically, it poses some problems, since some may be left alive with severe brain damage. It couldn't reopen the debate over using organs from anencephalic babies-born without brains.", "hypothesis": "There was a debate over using organs from anencephalic babies before.", "label": "E", "metadata": {"context1": "voice-over Perhaps this case will lead to a rethinking of resuscitating dead babies.", "context2": "Ethically, it poses some problems, since some may be left alive with severe brain damage.", "target_sentence": "It couldn't reopen the debate over using organs from anencephalic babies-born without brains.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reopen'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["E", "N", "E", "N", "E"], "ratings": [100.0, 92.4, 100.0, 73.4, 100.0]}}
+{"uid": "778", "premise": "voice-over Perhaps this case will lead to a rethinking of resuscitating dead babies. Ethically, it poses some problems, since some may be left alive with severe brain damage. It could reopen the debate over using organs from anencephalic babies-born without brains.", "hypothesis": "There was a debate over using organs from anencephalic babies before.", "label": "E", "metadata": {"context1": "voice-over Perhaps this case will lead to a rethinking of resuscitating dead babies.", "context2": "Ethically, it poses some problems, since some may be left alive with severe brain damage.", "target_sentence": "It could reopen the debate over using organs from anencephalic babies-born without brains.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reopen'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [90.67, 98.54, 96.54, 99.62, 100.0]}}
+{"uid": "779-neg", "premise": " But though the Ptolemaic model maybe a necessary, it may not be a sufficient approach to the reinvention of geography in a post-9/11 world. Classical scholars are not currently reinterpreting the model put forth by Strabo", "hypothesis": "The model put forth by Strabo was interpreted before.", "label": "E", "metadata": {"context1": "", "context2": "But though the Ptolemaic model maybe a necessary, it may not be a sufficient approach to the reinvention of geography in a post-9/11 world.", "target_sentence": "Classical scholars are not currently reinterpreting the model put forth by Strabo", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reinterpreting'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 100.0, 26.34, 95.77, 100.0]}}
+{"uid": "779", "premise": " But though the Ptolemaic model maybe a necessary, it may not be a sufficient approach to the reinvention of geography in a post-9/11 world. Classical scholars are currently reinterpreting the model put forth by Strabo", "hypothesis": "The model put forth by Strabo was interpreted before.", "label": "E", "metadata": {"context1": "", "context2": "But though the Ptolemaic model maybe a necessary, it may not be a sufficient approach to the reinvention of geography in a post-9/11 world.", "target_sentence": "Classical scholars are currently reinterpreting the model put forth by Strabo", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reinterpreting'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "780-neg", "premise": "More are likely as the district notifies accused teachers their contracts will not be renewed at the end of the school year. They will not be paid once their contract expires, but by law they can still request a hearing. Educators named in the report may not be reinstated once the evidence is reviewed, according to the district.", "hypothesis": "Educators were instated in the past.", "label": "E", "metadata": {"context1": "More are likely as the district notifies accused teachers their contracts will not be renewed at the end of the school year.", "context2": "They will not be paid once their contract expires, but by law they can still request a hearing.", "target_sentence": "Educators named in the report may not be reinstated once the evidence is reviewed, according to the district.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reinstated'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "780", "premise": "More are likely as the district notifies accused teachers their contracts will not be renewed at the end of the school year. They will not be paid once their contract expires, but by law they can still request a hearing. Educators named in the report may be reinstated once the evidence is reviewed, according to the district.", "hypothesis": "Educators were instated in the past.", "label": "E", "metadata": {"context1": "More are likely as the district notifies accused teachers their contracts will not be renewed at the end of the school year.", "context2": "They will not be paid once their contract expires, but by law they can still request a hearing.", "target_sentence": "Educators named in the report may be reinstated once the evidence is reviewed, according to the district.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'reinstated'}", "trigger_type": "re_verbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [94.33, 99.93, 99.73, 100.0, 100.0]}}
+{"uid": "783-neg", "premise": "( He said he eased up because the win, not a world record, was his goal. ) It was his first Olympic medal after failing to qualify for the 200 final at Athens in 2004. He didn't jog around the track after winning (earning a rebuke from then-International Olympic Committee president Jacques Rogge).", "hypothesis": "He won.", "label": "E", "metadata": {"context1": "( He said he eased up because the win, not a world record, was his goal. )", "context2": "It was his first Olympic medal after failing to qualify for the 200 final at Athens in 2004.", "target_sentence": "He didn't jog around the track after winning (earning a rebuke from then-International Olympic Committee president Jacques Rogge).", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "783", "premise": "( He said he eased up because the win, not a world record, was his goal. ) It was his first Olympic medal after failing to qualify for the 200 final at Athens in 2004. He jogged around the track after winning (earning a rebuke from then-International Olympic Committee president Jacques Rogge).", "hypothesis": "He won.", "label": "E", "metadata": {"context1": "( He said he eased up because the win, not a world record, was his goal. )", "context2": "It was his first Olympic medal after failing to qualify for the 200 final at Athens in 2004.", "target_sentence": "He jogged around the track after winning (earning a rebuke from then-International Olympic Committee president Jacques Rogge).", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SL", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 96.14, 18.25, 100.0, 100.0]}}
+{"uid": "784-neg", "premise": " Because you're a slow learner! \" Rosa Lee wasn't called to the principal's office after being held back twice in the spring of 1949.", "hypothesis": "Rosa Lee was held back twice in the spring of 1949.", "label": "E", "metadata": {"context1": "", "context2": "Because you're a slow learner! \"", "target_sentence": "Rosa Lee wasn't called to the principal's office after being held back twice in the spring of 1949.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBN']}", "trigger_type": "temporal_adverbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "784", "premise": " Because you're a slow learner! \" Rosa Lee was called to the principal's office after being held back twice in the spring of 1949.", "hypothesis": "Rosa Lee was held back twice in the spring of 1949.", "label": "E", "metadata": {"context1": "", "context2": "Because you're a slow learner! \"", "target_sentence": "Rosa Lee was called to the principal's office after being held back twice in the spring of 1949.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBN']}", "trigger_type": "temporal_adverbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.71, 100.0, 100.0, 100.0]}}
+{"uid": "786-neg", "premise": " Carlson started her career at Legal Times, where she made use of her law degree from George Washington University, before moving on to Esquire and the New Republic. Carlson hasn't written in-depth profiles of personalities since joining TIME in 1988.", "hypothesis": "Carlson joined TIME in 1988.", "label": "E", "metadata": {"context1": "", "context2": "Carlson started her career at Legal Times, where she made use of her law degree from George Washington University, before moving on to Esquire and the New Republic.", "target_sentence": "Carlson hasn't written in-depth profiles of personalities since joining TIME in 1988.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'Since', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.75, 100.0, 100.0]}}
+{"uid": "786", "premise": " Carlson started her career at Legal Times, where she made use of her law degree from George Washington University, before moving on to Esquire and the New Republic. Carlson has written in-depth profiles of personalities since joining TIME in 1988.", "hypothesis": "Carlson joined TIME in 1988.", "label": "E", "metadata": {"context1": "", "context2": "Carlson started her career at Legal Times, where she made use of her law degree from George Washington University, before moving on to Esquire and the New Republic.", "target_sentence": "Carlson has written in-depth profiles of personalities since joining TIME in 1988.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'Since', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "787-neg", "premise": " Ngema and Masekela, who had been searching for an idea on which to collaborate since their first meeting at a performance of \"Woza Albert!\" Ngema didn't return to South Africa after mapping out some musical ideas at Masekela's apartment in London in 1986.", "hypothesis": "Ngema mapped out some musical ideas at Masekela's apartment in London in 1986.", "label": "E", "metadata": {"context1": "", "context2": "Ngema and Masekela, who had been searching for an idea on which to collaborate since their first meeting at a performance of \"Woza Albert!\"", "target_sentence": "Ngema didn't return to South Africa after mapping out some musical ideas at Masekela's apartment in London in 1986.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.37, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "787", "premise": " Ngema and Masekela, who had been searching for an idea on which to collaborate since their first meeting at a performance of \"Woza Albert!\" Ngema returned to South Africa after mapping out some musical ideas at Masekela's apartment in London in 1986.", "hypothesis": "Ngema mapped out some musical ideas at Masekela's apartment in London in 1986.", "label": "E", "metadata": {"context1": "", "context2": "Ngema and Masekela, who had been searching for an idea on which to collaborate since their first meeting at a performance of \"Woza Albert!\"", "target_sentence": "Ngema returned to South Africa after mapping out some musical ideas at Masekela's apartment in London in 1986.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "788-neg", "premise": " Meet me there, \" he said before putting the phone down and retrieving his gun from his waist. He didn't speed down through the streets before turning into the driveway.", "hypothesis": "He turned into the driveway.", "label": "E", "metadata": {"context1": "", "context2": "Meet me there, \" he said before putting the phone down and retrieving his gun from his waist.", "target_sentence": "He didn't speed down through the streets before turning into the driveway.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.77, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "788", "premise": " Meet me there, \" he said before putting the phone down and retrieving his gun from his waist. He sped down through the streets before turning into the driveway.", "hypothesis": "He turned into the driveway.", "label": "E", "metadata": {"context1": "", "context2": "Meet me there, \" he said before putting the phone down and retrieving his gun from his waist.", "target_sentence": "He sped down through the streets before turning into the driveway.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 98.95, 100.0, 100.0]}}
+{"uid": "789-neg", "premise": " After crossing the road, we continue south to Logging Lake Trail. We didn't hike 30 minutes before seeing a grizzly 20 yards off the trail.", "hypothesis": "We saw a grizzly 20 yards off the trail.", "label": "E", "metadata": {"context1": "", "context2": "After crossing the road, we continue south to Logging Lake Trail.", "target_sentence": "We didn't hike 30 minutes before seeing a grizzly 20 yards off the trail.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.31, 100.0, 100.0]}}
+{"uid": "789", "premise": " After crossing the road, we continue south to Logging Lake Trail. We hike 30 minutes before seeing a grizzly 20 yards off the trail.", "hypothesis": "We saw a grizzly 20 yards off the trail.", "label": "E", "metadata": {"context1": "", "context2": "After crossing the road, we continue south to Logging Lake Trail.", "target_sentence": "We hike 30 minutes before seeing a grizzly 20 yards off the trail.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "79-neg", "premise": "\" Why? It don't pay me to do that when they're going to pay my claim anyway, \" said Cooper, vice president of the state's shrimpers association. Today, it is not BP's money that is most visibly altering the Gulf Coast.", "hypothesis": "Something is most visibly altering the Gulf Coast today.", "label": "N", "metadata": {"context1": "\" Why?", "context2": "It don't pay me to do that when they're going to pay my claim anyway, \" said Cooper, vice president of the state's shrimpers association.", "target_sentence": "Today, it is not BP's money that is most visibly altering the Gulf Coast.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "ZZ", "nli_labels": ["N", "E", "N", "N", "E"], "ratings": [92.48, 99.64, 76.73, 90.67, 100.0]}}
+{"uid": "79", "premise": "\" Why? It don't pay me to do that when they're going to pay my claim anyway, \" said Cooper, vice president of the state's shrimpers association. Today, it is BP's money that is most visibly altering the Gulf Coast.", "hypothesis": "Something is most visibly altering the Gulf Coast today.", "label": "E", "metadata": {"context1": "\" Why?", "context2": "It don't pay me to do that when they're going to pay my claim anyway, \" said Cooper, vice president of the state's shrimpers association.", "target_sentence": "Today, it is BP's money that is most visibly altering the Gulf Coast.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "790-neg", "premise": " The quote appeared in a Feb. 15, 1995, story by Steve Richardson of The Dallas Morning News, in a paragraph that read: \" When Calhoun tried to get to practice one Sunday in January after a women's game, he got caught in exiting traffic. Steve Richardson didn't quip that Connecticut was going to have to set up a day-care center and senior citizens home for its women fans after looking at faces in the crowd.", "hypothesis": "Steve Richardson looked at faces in the crowd. '", "label": "E", "metadata": {"context1": "", "context2": "The quote appeared in a Feb. 15, 1995, story by Steve Richardson of The Dallas Morning News, in a paragraph that read: \" When Calhoun tried to get to practice one Sunday in January after a women's game, he got caught in exiting traffic.", "target_sentence": "Steve Richardson didn't quip that Connecticut was going to have to set up a day-care center and senior citizens home for its women fans after looking at faces in the crowd.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SL", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 67.71, 96.88, 100.0, 99.9]}}
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+{"uid": "791-neg", "premise": " Baltimore County school ethics officials ruled in 2014 that Dance had violated ethics rules by taking a part-time job with SUPES after the company got an $875,000 contract with the school system. State legislative auditors didn't fault the school system for not seeking a competitive bid before hiring the company.", "hypothesis": "The school system hired the company.", "label": "E", "metadata": {"context1": "", "context2": "Baltimore County school ethics officials ruled in 2014 that Dance had violated ethics rules by taking a part-time job with SUPES after the company got an $875,000 contract with the school system.", "target_sentence": "State legislative auditors didn't fault the school system for not seeking a competitive bid before hiring the company.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SL", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [97.6, 62.16, 98.92, 99.9, 100.0]}}
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+{"uid": "8-neg", "premise": "Then he remembered what had been done to Ben Zoma. And to Cadwallader. And his sympathy for the woman didn't melt away", "hypothesis": "He had had sympathy for the woman.", "label": "E", "metadata": {"context1": "Then he remembered what had been done to Ben Zoma.", "context2": "And to Cadwallader.", "target_sentence": "And his sympathy for the woman didn't melt away", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'melted'}", "trigger_type": "change_of_state", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 98.99]}}
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+{"uid": "803-neg", "premise": " Must have gone in while I showered. \" I didn't fall back on dialing a good book from the library before pounding the cushion beside me.", "hypothesis": "I pounded the cushion beside me.", "label": "E", "metadata": {"context1": "", "context2": "Must have gone in while I showered. \"", "target_sentence": "I didn't fall back on dialing a good book from the library before pounding the cushion beside me.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.49, 99.9, 100.0, 100.0, 99.09]}}
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+{"uid": "804-neg", "premise": " While studying business administration at the University of California, Riverside, she thought about a career as a missionary or diplomat. She didn't go to work as a human-resources analyst after earning a master's degree in public administration from the University of Southern California.", "hypothesis": "She earned a master's degree in public administration from the University of Southern California.", "label": "E", "metadata": {"context1": "", "context2": "While studying business administration at the University of California, Riverside, she thought about a career as a missionary or diplomat.", "target_sentence": "She didn't go to work as a human-resources analyst after earning a master's degree in public administration from the University of Southern California.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [91.1, 100.0, 100.0, 99.54, 100.0]}}
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+{"uid": "806-neg", "premise": "After decades of debate, momentum is growing toward a deal for new runways at O'Hare Airport, an epicenter of air delays that throw the nation's aviation system into chaos. An unprecedented series of events since January is forcing power brokers to the negotiating table:  Members of Congress are threatening to take away Rep. William O. Lipinski (D-Ill.) hasn't concluded that the bill he filed Thursday to take Ryan out of the picture is needed because \"nothing is going to be done on the local level after working seven months behind the scenes to forge an agreement between Ryan and Mayor Daley,.\"", "hypothesis": "Rep. William O. Lipinski (D-Ill.) worked seven months behind the scenes to forge an agreement between Ryan and Mayor Daley,. \"", "label": "E", "metadata": {"context1": "After decades of debate, momentum is growing toward a deal for new runways at O'Hare Airport, an epicenter of air delays that throw the nation's aviation system into chaos.", "context2": "An unprecedented series of events since January is forcing power brokers to the negotiating table:  Members of Congress are threatening to take away", "target_sentence": "Rep. William O. Lipinski (D-Ill.) hasn't concluded that the bill he filed Thursday to take Ryan out of the picture is needed because \"nothing is going to be done on the local level after working seven months behind the scenes to forge an agreement between Ryan and Mayor Daley,.\"", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 100.0, 96.71, 50.15, 100.0]}}
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+{"uid": "808-neg", "premise": " Unlike other children's rooms turned into home offices, sewing rooms, or preserved as childhood shrines after their departure to adulthood, my old bedroom is packed floor to ceiling with the flotsam of decades lived and a marriage gone bad. I don't twist the doorknob and swing the door inward about six inches before it thunks against a landfill of old furniture, boxes, magazines, books and records, clothes, luggage, blankets, artwork, drapes, broken televisions, and other no-longer-transmitting electronics.", "hypothesis": "The door thunks against a landfill of old furniture, boxes, magazines, books and records, clothes, luggage, blankets, artwork, drapes, broken televisions, and other no-longer-transmitting electronics.", "label": "E", "metadata": {"context1": "", "context2": "Unlike other children's rooms turned into home offices, sewing rooms, or preserved as childhood shrines after their departure to adulthood, my old bedroom is packed floor to ceiling with the flotsam of decades lived and a marriage gone bad.", "target_sentence": "I don't twist the doorknob and swing the door inward about six inches before it thunks against a landfill of old furniture, boxes, magazines, books and records, clothes, luggage, blankets, artwork, drapes, broken televisions, and other no-longer-transmitting electronics.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SL", "nli_labels": ["E", "E", "C", "E", "E"], "ratings": [100.0, 100.0, 0.0, 100.0, 100.0]}}
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+{"uid": "811-neg", "premise": " Buechele is son of former big league third baseman Steve Buechele, while Seitzer's father is former major leaguer Kevin Seitzer. Shore hasn't become ace of staff after transferring from Palomar Junior College.", "hypothesis": "Shore transferred from Palomar Junior College.", "label": "E", "metadata": {"context1": "", "context2": "Buechele is son of former big league third baseman Steve Buechele, while Seitzer's father is former major leaguer Kevin Seitzer.", "target_sentence": "Shore hasn't become ace of staff after transferring from Palomar Junior College.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
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+{"uid": "813-neg", "premise": " \"The reason I stopped watching TV for the past weeks is because of all these pictures they are showing of refugees in my country,\" he said. I haven't seen some of the worst stuff in Somalia and Kenya growing up in Africa for 20 years before moving to the United States, and I never got a chance to see the sadness and the ugliest pictures.", "hypothesis": "I moved to the United States.", "label": "E", "metadata": {"context1": "", "context2": "\"The reason I stopped watching TV for the past weeks is because of all these pictures they are showing of refugees in my country,\" he said.", "target_sentence": "I haven't seen some of the worst stuff in Somalia and Kenya growing up in Africa for 20 years before moving to the United States, and I never got a chance to see the sadness and the ugliest pictures.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.71, 100.0, 94.26, 100.0, 100.0]}}
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+{"uid": "817-neg", "premise": " Mr. Bush went to her home in Greenwich, Connecticut, this morning after hearing she had suffered a stroke. Mr. Bush didn't go to her home in Greenwich, Connecticut after signing a friendship treaty between the two countries.", "hypothesis": "Mr. Bush signed a friendship treaty between the two countries.", "label": "E", "metadata": {"context1": "", "context2": "Mr. Bush went to her home in Greenwich, Connecticut, this morning after hearing she had suffered a stroke.", "target_sentence": "Mr. Bush didn't go to her home in Greenwich, Connecticut after signing a friendship treaty between the two countries.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "817", "premise": " Mr. Bush went to her home in Greenwich, Connecticut, this morning after hearing she had suffered a stroke. Mr. Bush went to her home in Greenwich, Connecticut after signing a friendship treaty between the two countries.", "hypothesis": "Mr. Bush signed a friendship treaty between the two countries.", "label": "E", "metadata": {"context1": "", "context2": "Mr. Bush went to her home in Greenwich, Connecticut, this morning after hearing she had suffered a stroke.", "target_sentence": "Mr. Bush went to her home in Greenwich, Connecticut after signing a friendship treaty between the two countries.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 98.24, 100.0, 100.0]}}
+{"uid": "819-neg", "premise": " After their game against the 6-3 Raiders comes a testy five-game stretch at Cleveland, at Washington, at home against Philadelphia and Seattle, then at Buffalo on Dec. 23. It isn't amazing what the Dolphins have accomplished after laboring near the bottom of the N.F.L. in defensive ranking and performance throughout the later part of the 1980's.", "hypothesis": "The Dolphins labored near the bottom of the N.F.L. in defensive ranking and performance throughout the later part of the 1980 's.", "label": "E", "metadata": {"context1": "", "context2": "After their game against the 6-3 Raiders comes a testy five-game stretch at Cleveland, at Washington, at home against Philadelphia and Seattle, then at Buffalo on Dec. 23.", "target_sentence": "It isn't amazing what the Dolphins have accomplished after laboring near the bottom of the N.F.L. in defensive ranking and performance throughout the later part of the 1980's.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [100.0, 99.12, 99.06, 100.0, 96.14]}}
+{"uid": "819", "premise": " After their game against the 6-3 Raiders comes a testy five-game stretch at Cleveland, at Washington, at home against Philadelphia and Seattle, then at Buffalo on Dec. 23. It's amazing what the Dolphins have accomplished after laboring near the bottom of the N.F.L. in defensive ranking and performance throughout the later part of the 1980's.", "hypothesis": "The Dolphins labored near the bottom of the N.F.L. in defensive ranking and performance throughout the later part of the 1980 's.", "label": "E", "metadata": {"context1": "", "context2": "After their game against the 6-3 Raiders comes a testy five-game stretch at Cleveland, at Washington, at home against Philadelphia and Seattle, then at Buffalo on Dec. 23.", "target_sentence": "It's amazing what the Dolphins have accomplished after laboring near the bottom of the N.F.L. in defensive ranking and performance throughout the later part of the 1980's.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'after', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 97.79, 98.95, 100.0, 99.28]}}
+{"uid": "820-neg", "premise": " He regained both, but only after months of arduous therapy with numerous setbacks. Zimmer didn't confess he was excited before going on the air.", "hypothesis": "Zimmer went on the air.", "label": "E", "metadata": {"context1": "", "context2": "He regained both, but only after months of arduous therapy with numerous setbacks.", "target_sentence": "Zimmer didn't confess he was excited before going on the air.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'Before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SL", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [99.46, 100.0, 95.59, 98.16, 100.0]}}
+{"uid": "820", "premise": " He regained both, but only after months of arduous therapy with numerous setbacks. Zimmer confessed he was excited before going on the air,.", "hypothesis": "Zimmer went on the air.", "label": "E", "metadata": {"context1": "", "context2": "He regained both, but only after months of arduous therapy with numerous setbacks.", "target_sentence": "Zimmer confessed he was excited before going on the air,.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'Before', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SL", "nli_labels": ["N", "E", "E", "C", "E"], "ratings": [89.35, 95.21, 100.0, 0.0, 99.22]}}
+{"uid": "822-neg", "premise": " After more than four weeks in the field, the scientists waited to be evacuated. The pilot, in his olive-green jumpsuit and wraparound sunglasses, didn't kick worriedly at a new layer of snow after disembarking.", "hypothesis": "The pilot disembarked.", "label": "E", "metadata": {"context1": "", "context2": "After more than four weeks in the field, the scientists waited to be evacuated.", "target_sentence": "The pilot, in his olive-green jumpsuit and wraparound sunglasses, didn't kick worriedly at a new layer of snow after disembarking.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.46, 100.0, 99.64, 100.0]}}
+{"uid": "822", "premise": " After more than four weeks in the field, the scientists waited to be evacuated. The pilot, in his olive-green jumpsuit and wraparound sunglasses, kicked worriedly at a new layer of snow after disembarking.", "hypothesis": "The pilot disembarked.", "label": "E", "metadata": {"context1": "", "context2": "After more than four weeks in the field, the scientists waited to be evacuated.", "target_sentence": "The pilot, in his olive-green jumpsuit and wraparound sunglasses, kicked worriedly at a new layer of snow after disembarking.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'preposition': 'After', 'embedded_clause_head_tag': ['VBG']}", "trigger_type": "temporal_adverbs", "annotator": "SL", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 99.51, 99.9]}}
+{"uid": "829-neg", "premise": "When Prince came, he was at his height--PRINCE in capital letters. And when you walked onto the dance floor, you looked all the way up at the ceiling, 50 feet up, and you saw the second floor. They didn't close off the entire second floor for Prince.", "hypothesis": "The entire second floor was accessible earlier.", "label": "E", "metadata": {"context1": "When Prince came, he was at his height--PRINCE in capital letters.", "context2": "And when you walked onto the dance floor, you looked all the way up at the ceiling, 50 feet up, and you saw the second floor.", "target_sentence": "They didn't close off the entire second floor for Prince.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'closed'}", "trigger_type": "change_of_state", "annotator": "SS", "nli_labels": ["N", "N", "E", "E", "E"], "ratings": [40.32, 90.5, 100.0, 98.95, 99.34]}}
+{"uid": "829", "premise": "When Prince came, he was at his height--PRINCE in capital letters. And when you walked onto the dance floor, you looked all the way up at the ceiling, 50 feet up, and you saw the second floor. They closed off the entire second floor for Prince.", "hypothesis": "The entire second floor was accessible earlier.", "label": "E", "metadata": {"context1": "When Prince came, he was at his height--PRINCE in capital letters.", "context2": "And when you walked onto the dance floor, you looked all the way up at the ceiling, 50 feet up, and you saw the second floor.", "target_sentence": "They closed off the entire second floor for Prince.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'closed'}", "trigger_type": "change_of_state", "annotator": "SS", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [50.15, 98.62, 100.0, 100.0, 100.0]}}
+{"uid": "832-neg", "premise": "This is FRESH AIR. I'm David Bianculli in for Terry Gross. The latest entry in the late night TV talk show wars didn't arrive on NBC with a lot of big names, not the least of which was the exciting, innovative house band.", "hypothesis": "The latest entry in the late night TV talk show wars hadn't been on NBC earlier.", "label": "N", "metadata": {"context1": "This is FRESH AIR.", "context2": "I'm David Bianculli in for Terry Gross.", "target_sentence": "The latest entry in the late night TV talk show wars didn't arrive on NBC with a lot of big names, not the least of which was the exciting, innovative house band.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'arrived'}", "trigger_type": "change_of_state", "annotator": "SS", "nli_labels": ["N", "N", "E", "E", "N"], "ratings": [12.73, 52.4, 100.0, 100.0, 16.14]}}
+{"uid": "832", "premise": "This is FRESH AIR. I'm David Bianculli in for Terry Gross. The latest entry in the late night TV talk show wars arrived on NBC with a lot of big names, not the least of which was the exciting, innovative house band.", "hypothesis": "The latest entry in the late night TV talk show wars hadn't been on NBC earlier.", "label": "E", "metadata": {"context1": "This is FRESH AIR.", "context2": "I'm David Bianculli in for Terry Gross.", "target_sentence": "The latest entry in the late night TV talk show wars arrived on NBC with a lot of big names, not the least of which was the exciting, innovative house band.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'arrived'}", "trigger_type": "change_of_state", "annotator": "SS", "nli_labels": ["N", "C", "E", "E", "E"], "ratings": [50.3, 0.36, 100.0, 100.0, 90.67]}}
+{"uid": "833-neg", "premise": " \" Well then something really weird has happened. Only two didn't arrive.", "hypothesis": "Two weren't here earlier.", "label": "N", "metadata": {"context1": "", "context2": "\" Well then something really weird has happened.", "target_sentence": "Only two didn't arrive.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'arrived'}", "trigger_type": "change_of_state", "annotator": "SS", "nli_labels": ["N", "E", "N", "E", "N"], "ratings": [75.98, 96.93, 54.79, 97.79, 92.09]}}
+{"uid": "833", "premise": " \" Well then something really weird has happened. Only two arrived. \"", "hypothesis": "Two weren't here earlier.", "label": "E", "metadata": {"context1": "", "context2": "\" Well then something really weird has happened.", "target_sentence": "Only two arrived. \"", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'arrived'}", "trigger_type": "change_of_state", "annotator": "SS", "nli_labels": ["N", "N", "E", "E", "E"], "ratings": [79.42, 51.5, 95.65, 97.25, 100.0]}}
+{"uid": "835-neg", "premise": " An analysis of existing collections identified low-circulation items that might have more usage in a classroom setting than a public library. One NYPL staff member hasn't been hired to work full time on the selection and creation of teacher sets and actively works to align these sets with the Common Core.", "hypothesis": "One NYPL staff member didn't have the job earlier.", "label": "N", "metadata": {"context1": "", "context2": "An analysis of existing collections identified low-circulation items that might have more usage in a classroom setting than a public library.", "target_sentence": "One NYPL staff member hasn't been hired to work full time on the selection and creation of teacher sets and actively works to align these sets with the Common Core.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'hired'}", "trigger_type": "change_of_state", "annotator": "SS", "nli_labels": ["N", "N", "N", "C", "N"], "ratings": [17.46, 51.2, 2.96, 0.0, 13.63]}}
+{"uid": "835", "premise": " An analysis of existing collections identified low-circulation items that might have more usage in a classroom setting than a public library. One NYPL staff member has been hired to work full time on the selection and creation of teacher sets and actively works to align these sets with the Common Core.", "hypothesis": "One NYPL staff member didn't have the job earlier.", "label": "N", "metadata": {"context1": "", "context2": "An analysis of existing collections identified low-circulation items that might have more usage in a classroom setting than a public library.", "target_sentence": "One NYPL staff member has been hired to work full time on the selection and creation of teacher sets and actively works to align these sets with the Common Core.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'hired'}", "trigger_type": "change_of_state", "annotator": "SS", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [77.35, 12.44, 92.48, 80.83, 61.15]}}
+{"uid": "840-neg", "premise": "Speaker A: Blago was convicted on corruption, sentenced to 14 years behind bars. His political career and his TV career were over. And, Rod, you aren't fired.", "hypothesis": "Rod used to have a job in TV.", "label": "E", "metadata": {"context1": "Blago was convicted on corruption, sentenced to 14 years behind bars.", "context2": "His political career and his TV career were over.", "target_sentence": "And, Rod, you aren't fired.", "speaker_context1": "NICK-WATT", "speaker_context2": "NICK-WATT", "speaker_target": "NICK-WATT", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'fired'}", "trigger_type": "change_of_state", "annotator": "SS", "nli_labels": ["N", "E", "E", "N", "E"], "ratings": [6.53, 99.43, 95.53, 29.81, 100.0]}}
+{"uid": "840", "premise": "Speaker A: Blago was convicted on corruption, sentenced to 14 years behind bars. His political career and his TV career were over. And, Rod, you're fired.", "hypothesis": "Rod used to have a job in TV.", "label": "N", "metadata": {"context1": "Blago was convicted on corruption, sentenced to 14 years behind bars.", "context2": "His political career and his TV career were over.", "target_sentence": "And, Rod, you're fired.", "speaker_context1": "NICK-WATT", "speaker_context2": "NICK-WATT", "speaker_target": "NICK-WATT", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'fired'}", "trigger_type": "change_of_state", "annotator": "SS", "nli_labels": ["E", "N", "E", "N", "N"], "ratings": [100.0, 70.74, 100.0, 14.76, 41.05]}}
+{"uid": "843-neg", "premise": "The frustration drove one resident, Hilbert Kahali Smith (ph), to refuse to make payments on his mortgage. The Homelands commission said that this harmed other homeowners, whose money is pooled to support mortgages and repairs. After four years of dispute, Homelands' personnel didn't arrive one day to pick up Hilbert Kahali Smith and move him out.", "hypothesis": "Homelands' personnel wasn't there earlier.", "label": "N", "metadata": {"context1": "The frustration drove one resident, Hilbert Kahali Smith (ph), to refuse to make payments on his mortgage.", "context2": "The Homelands commission said that this harmed other homeowners, whose money is pooled to support mortgages and repairs.", "target_sentence": "After four years of dispute, Homelands' personnel didn't arrive one day to pick up Hilbert Kahali Smith and move him out.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'arrived'}", "trigger_type": "change_of_state", "annotator": "SS", "nli_labels": ["N", "E", "N", "E", "N"], "ratings": [44.91, 100.0, 76.35, 100.0, 87.85]}}
+{"uid": "843", "premise": "The frustration drove one resident, Hilbert Kahali Smith (ph), to refuse to make payments on his mortgage. The Homelands commission said that this harmed other homeowners, whose money is pooled to support mortgages and repairs. After four years of dispute, Homelands' personnel arrived one day to pick up Hilbert Kahali Smith and move him out.", "hypothesis": "Homelands' personnel wasn't there earlier.", "label": "N", "metadata": {"context1": "The frustration drove one resident, Hilbert Kahali Smith (ph), to refuse to make payments on his mortgage.", "context2": "The Homelands commission said that this harmed other homeowners, whose money is pooled to support mortgages and repairs.", "target_sentence": "After four years of dispute, Homelands' personnel arrived one day to pick up Hilbert Kahali Smith and move him out.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'arrived'}", "trigger_type": "change_of_state", "annotator": "SS", "nli_labels": ["N", "E", "N", "N", "E"], "ratings": [52.55, 100.0, 28.86, 52.25, 100.0]}}
+{"uid": "848-neg", "premise": "Firefighter Danny Rowan decided it was time to give something back. He organized a bike tour to say thank you to America. Two months to the day after they lost their brothers, Rowan and fellow firefighters didn't return to ground zero to begin their journey.", "hypothesis": "Rowan and fellow firefighters had been to ground zero two months earlier.", "label": "E", "metadata": {"context1": "Firefighter Danny Rowan decided it was time to give something back.", "context2": "He organized a bike tour to say thank you to America.", "target_sentence": "Two months to the day after they lost their brothers, Rowan and fellow firefighters didn't return to ground zero to begin their journey.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'returned'}", "trigger_type": "change_of_state", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [100.0, 100.0, 100.0, 97.25, 50.15]}}
+{"uid": "848", "premise": "Firefighter Danny Rowan decided it was time to give something back. He organized a bike tour to say thank you to America. Two months to the day after they lost their brothers, Rowan and fellow firefighters returned to ground zero to begin their journey.", "hypothesis": "Rowan and fellow firefighters had been to ground zero two months earlier.", "label": "E", "metadata": {"context1": "Firefighter Danny Rowan decided it was time to give something back.", "context2": "He organized a bike tour to say thank you to America.", "target_sentence": "Two months to the day after they lost their brothers, Rowan and fellow firefighters returned to ground zero to begin their journey.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'returned'}", "trigger_type": "change_of_state", "annotator": "SS", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 67.02, 100.0, 100.0, 100.0]}}
+{"uid": "85-neg", "premise": " When she was still seething with anger at me hours later, I took her by the arm. \" There are no worse things than death for me, Ensel.", "hypothesis": "Death is something for me", "label": "E", "metadata": {"context1": "", "context2": "When she was still seething with anger at me hours later, I took her by the arm.", "target_sentence": "\" There are no worse things than death for me, Ensel.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'worse', 'noun': 'things'}", "trigger_type": "comparatives", "annotator": "ZZ", "nli_labels": ["E", "C", "E", "N", "E"], "ratings": [90.5, 1.05, 99.43, 57.02, 99.25]}}
+{"uid": "853-neg", "premise": "John Johnston II  LEAVENWORTH, Kan. ( AP) - John H. Johnston II, former general manager of The Times of Leavenworth, didn't die Nov. 12.", "hypothesis": "John H. Johnston II had been alive before Nov. 12.", "label": "E", "metadata": {"context1": "John Johnston II  LEAVENWORTH, Kan.", "context2": "( AP) -", "target_sentence": "John H. Johnston II, former general manager of The Times of Leavenworth, didn't die Nov. 12.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'died'}", "trigger_type": "change_of_state", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.77, 99.06, 100.0]}}
+{"uid": "853", "premise": "John Johnston II  LEAVENWORTH, Kan. ( AP) - John H. Johnston II, former general manager of The Times of Leavenworth, died Nov. 12.", "hypothesis": "John H. Johnston II had been alive before Nov. 12.", "label": "E", "metadata": {"context1": "John Johnston II  LEAVENWORTH, Kan.", "context2": "( AP) -", "target_sentence": "John H. Johnston II, former general manager of The Times of Leavenworth, died Nov. 12.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'died'}", "trigger_type": "change_of_state", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "854-neg", "premise": " There was the sound of a foreign language on the frequency; controllers thought it was Arabic. Flight 93 didn't crash in a field western Pennsylvania at 10:10 a.m.", "hypothesis": "Flight 93 was in flight before 10:10am.", "label": "E", "metadata": {"context1": "", "context2": "There was the sound of a foreign language on the frequency; controllers thought it was Arabic.", "target_sentence": "Flight 93 didn't crash in a field western Pennsylvania at 10:10 a.m.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'crashed'}", "trigger_type": "change_of_state", "annotator": "SS", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [99.25, 99.62, 100.0, 85.35, 100.0]}}
+{"uid": "854", "premise": " There was the sound of a foreign language on the frequency; controllers thought it was Arabic. Flight 93 crashed in a field western Pennsylvania at 10:10 a.m.", "hypothesis": "Flight 93 was in flight before 10:10am.", "label": "E", "metadata": {"context1": "", "context2": "There was the sound of a foreign language on the frequency; controllers thought it was Arabic.", "target_sentence": "Flight 93 crashed in a field western Pennsylvania at 10:10 a.m.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'crashed'}", "trigger_type": "change_of_state", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.46, 100.0, 100.0]}}
+{"uid": "855-neg", "premise": "Sinking down on us, buzzards that come and go, plunging and rising again. Flocks of foreign birds, gigantic geese, from who knows what tundras. Striped sky now, white and azure, toward the Friulian Alps: the violent winds of the \"bora\" are not returning.", "hypothesis": "The violent winds of the \"bora\" had been here before.", "label": "E", "metadata": {"context1": "Sinking down on us, buzzards that come and go, plunging and rising again.", "context2": "Flocks of foreign birds, gigantic geese, from who knows what tundras.", "target_sentence": "Striped sky now, white and azure, toward the Friulian Alps: the violent winds of the \"bora\" are not returning.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'returning'}", "trigger_type": "change_of_state", "annotator": "SS", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [51.5, 97.5, 100.0, 100.0, 100.0]}}
+{"uid": "855", "premise": "Sinking down on us, buzzards that come and go, plunging and rising again. Flocks of foreign birds, gigantic geese, from who knows what tundras. Striped sky now, white and azure, toward the Friulian Alps: the violent winds of the \"bora\" are returning.", "hypothesis": "The violent winds of the \"bora\" had been here before.", "label": "E", "metadata": {"context1": "Sinking down on us, buzzards that come and go, plunging and rising again.", "context2": "Flocks of foreign birds, gigantic geese, from who knows what tundras.", "target_sentence": "Striped sky now, white and azure, toward the Friulian Alps: the violent winds of the \"bora\" are returning.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'returning'}", "trigger_type": "change_of_state", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "858-neg", "premise": "Two major problems not only remain unsolved but have grown worse. There is no guarantee Iraq will stop playing hide-and-seek with its chemical and biological weapons. And the Clinton administration's five-year policy of trying to isolate both Iraq and Iran--known as \" dual containment \"--isn't falling apart.", "hypothesis": "The Clinton administration's five-year policy of trying to isolate both Iraq and Iran was working earlier.", "label": "N", "metadata": {"context1": "Two major problems not only remain unsolved but have grown worse.", "context2": "There is no guarantee Iraq will stop playing hide-and-seek with its chemical and biological weapons.", "target_sentence": "And the Clinton administration's five-year policy of trying to isolate both Iraq and Iran--known as \" dual containment \"--isn't falling apart.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'falling'}", "trigger_type": "change_of_state", "annotator": "SS", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [51.5, 74.57, 88.42, 59.98, 37.98]}}
+{"uid": "858", "premise": "Two major problems not only remain unsolved but have grown worse. There is no guarantee Iraq will stop playing hide-and-seek with its chemical and biological weapons. And the Clinton administration's five-year policy of trying to isolate both Iraq and Iran--known as \" dual containment \"--is falling apart.", "hypothesis": "The Clinton administration's five-year policy of trying to isolate both Iraq and Iran was working earlier.", "label": "N", "metadata": {"context1": "Two major problems not only remain unsolved but have grown worse.", "context2": "There is no guarantee Iraq will stop playing hide-and-seek with its chemical and biological weapons.", "target_sentence": "And the Clinton administration's five-year policy of trying to isolate both Iraq and Iran--known as \" dual containment \"--is falling apart.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'falling'}", "trigger_type": "change_of_state", "annotator": "SS", "nli_labels": ["N", "N", "N", "N", "N"], "ratings": [40.02, 15.92, 8.48, 48.05, 64.61]}}
+{"uid": "861-neg", "premise": "  His voice didn't drop to a whisper, even though as far as I could tell, the two of us were quite alone.", "hypothesis": "He had been talking louder earlier.", "label": "N", "metadata": {"context1": "", "context2": "", "target_sentence": "His voice didn't drop to a whisper, even though as far as I could tell, the two of us were quite alone.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'dropped'}", "trigger_type": "change_of_state", "annotator": "SS", "nli_labels": ["N", "C", "N", "E", "N"], "ratings": [63.32, 1.08, 20.22, 93.84, 70.06]}}
+{"uid": "861", "premise": "  His voice dropped to a whisper, even though as far as I could tell, the two of us were quite alone.", "hypothesis": "He had been talking louder earlier.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "His voice dropped to a whisper, even though as far as I could tell, the two of us were quite alone.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'dropped'}", "trigger_type": "change_of_state", "annotator": "SS", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [50.3, 99.9, 100.0, 99.73, 100.0]}}
+{"uid": "862-neg", "premise": " The couvade is classically defined as the custom by which \"the father, on the birth of his child, makes a ceremonial pretence of being the mother, being nursed and taken care of, and performing other rites such as fasting and abstaining from certain kinds of food or occupations, lest the new-born should suffer thereby\" (Tylor 1889:254). In virtue of this custom, it isn't the father who is supposed to experience the symptoms of fatigue and disability that follow the birth, while the woman goes about her daily occupations.", "hypothesis": "Someone is supposed to experience the symptoms of fatigue and disabilility that follow the birth.", "label": "E", "metadata": {"context1": "", "context2": "The couvade is classically defined as the custom by which \"the father, on the birth of his child, makes a ceremonial pretence of being the mother, being nursed and taken care of, and performing other rites such as fasting and abstaining from certain kinds of food or occupations, lest the new-born should suffer thereby\" (Tylor 1889:254).", "target_sentence": "In virtue of this custom, it isn't the father who is supposed to experience the symptoms of fatigue and disability that follow the birth, while the woman goes about her daily occupations.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.19, 99.54, 100.0, 100.0, 100.0]}}
+{"uid": "862", "premise": " The couvade is classically defined as the custom by which \"the father, on the birth of his child, makes a ceremonial pretence of being the mother, being nursed and taken care of, and performing other rites such as fasting and abstaining from certain kinds of food or occupations, lest the new-born should suffer thereby\" (Tylor 1889:254). In virtue of this custom, it is the father who is supposed to experience the symptoms of fatigue and disability that follow the birth, while the woman goes about her daily occupations.", "hypothesis": "Someone is supposed to experience the symptoms of fatigue and disabilility that follow the birth.", "label": "E", "metadata": {"context1": "", "context2": "The couvade is classically defined as the custom by which \"the father, on the birth of his child, makes a ceremonial pretence of being the mother, being nursed and taken care of, and performing other rites such as fasting and abstaining from certain kinds of food or occupations, lest the new-born should suffer thereby\" (Tylor 1889:254).", "target_sentence": "In virtue of this custom, it is the father who is supposed to experience the symptoms of fatigue and disability that follow the birth, while the woman goes about her daily occupations.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [97.45, 99.25, 99.02, 95.9, 100.0]}}
+{"uid": "865-neg", "premise": "And given that he now says there are 4,400 surplus employees, isn't it fair to think that there are an awful lot of surplus employees all over the government? Rep. DAVID BONIOR: Well, George, let me remind you that, prior to the election, it wasn't the Democrats who reduced the size of the federal government by over 250,000 workers, and we took those savings to use to enact the crime bill.", "hypothesis": "Some politicians reduced the size of the federal government by over 250,000 workers.", "label": "E", "metadata": {"context1": "And given that he now says there are 4,400 surplus employees, isn't it fair to think that there are an awful lot of surplus employees all over the government?", "context2": "Rep. DAVID BONIOR:", "target_sentence": "Well, George, let me remind you that, prior to the election, it wasn't the Democrats who reduced the size of the federal government by over 250,000 workers, and we took those savings to use to enact the crime bill.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SS", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [98.92, 72.34, 100.0, 99.43, 99.94]}}
+{"uid": "865", "premise": "And given that he now says there are 4,400 surplus employees, isn't it fair to think that there are an awful lot of surplus employees all over the government? Rep. DAVID BONIOR: Well, George, let me remind you that, prior to the election, it was the Democrats who reduced the size of the federal government by over 250,000 workers, and we took those savings to use to enact the crime bill.", "hypothesis": "Some politicians reduced the size of the federal government by over 250,000 workers.", "label": "E", "metadata": {"context1": "And given that he now says there are 4,400 surplus employees, isn't it fair to think that there are an awful lot of surplus employees all over the government?", "context2": "Rep. DAVID BONIOR:", "target_sentence": "Well, George, let me remind you that, prior to the election, it was the Democrats who reduced the size of the federal government by over 250,000 workers, and we took those savings to use to enact the crime bill.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.37, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "868-neg", "premise": "\" I said. I didn't think that she would refuse me. She told me that it wasn't usually the old people who recited things to them in Redtown.", "hypothesis": "Someone recited things to them in Redtown.", "label": "E", "metadata": {"context1": "\" I said.", "context2": "I didn't think that she would refuse me.", "target_sentence": "She told me that it wasn't usually the old people who recited things to them in Redtown.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SS", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [83.53, 100.0, 100.0, 100.0, 95.96]}}
+{"uid": "868", "premise": "\" I said. I didn't think that she would refuse me. She told me that it was usually the old people who recited things to them in Redtown.", "hypothesis": "Someone recited things to them in Redtown.", "label": "E", "metadata": {"context1": "\" I said.", "context2": "I didn't think that she would refuse me.", "target_sentence": "She told me that it was usually the old people who recited things to them in Redtown.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 99.46]}}
+{"uid": "869-neg", "premise": "Speaker A: Why do you feel entitled to a government bailout? First of all, Senator, because it wasn't a federal prosecutor who spiked my deal to sell the Senate seat in the first place.", "hypothesis": "Someone spiked my deal to sell the Senate seat.", "label": "E", "metadata": {"context1": "", "context2": "Why do you feel entitled to a government bailout?", "target_sentence": "First of all, Senator, because it wasn't a federal prosecutor who spiked my deal to sell the Senate seat in the first place.", "speaker_context1": "", "speaker_context2": "COMEDIAN-@1 \" SATURD", "speaker_target": "COMEDIAN-@1 \" SATURD", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SS", "nli_labels": ["N", "E", "E", "E", "N"], "ratings": [96.25, 100.0, 99.46, 100.0, 73.27]}}
+{"uid": "869", "premise": "Speaker A: Why do you feel entitled to a government bailout? First of all, Senator, because it was a federal prosecutor who spiked my deal to sell the Senate seat in the first place.", "hypothesis": "Someone spiked my deal to sell the Senate seat.", "label": "E", "metadata": {"context1": "", "context2": "Why do you feel entitled to a government bailout?", "target_sentence": "First of all, Senator, because it was a federal prosecutor who spiked my deal to sell the Senate seat in the first place.", "speaker_context1": "", "speaker_context2": "COMEDIAN-@1 \" SATURD", "speaker_target": "COMEDIAN-@1 \" SATURD", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.02, 100.0, 100.0, 100.0]}}
+{"uid": "87-neg", "premise": "Although they won in Green Bay, they overcame Mike Tomlin's unfathomable decision to not run down the clock and kick a field goal in a tie game. He gave Green Bay enough time to win it and the Packers nearly did. Tomlin reasoned that kicking what would have been from extra point range was not a bigger gamble on a sloppy field than running it in.", "hypothesis": "Running it in on a sloppy field was a gamble", "label": "E", "metadata": {"context1": "Although they won in Green Bay, they overcame Mike Tomlin's unfathomable decision to not run down the clock and kick a field goal in a tie game.", "context2": "He gave Green Bay enough time to win it and the Packers nearly did.", "target_sentence": "Tomlin reasoned that kicking what would have been from extra point range was not a bigger gamble on a sloppy field than running it in.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'bigger', 'noun': 'gamble'}", "trigger_type": "comparatives", "annotator": "ZZ", "nli_labels": ["N", "E", "E", "E", "N"], "ratings": [96.31, 100.0, 97.98, 100.0, 7.36]}}
+{"uid": "87", "premise": "Although they won in Green Bay, they overcame Mike Tomlin's unfathomable decision to not run down the clock and kick a field goal in a tie game. He gave Green Bay enough time to win it and the Packers nearly did. Tomlin reasoned that kicking what would have been from extra point range was a bigger gamble on a sloppy field than running it in.", "hypothesis": "Running it in on a sloppy field was a gamble", "label": "E", "metadata": {"context1": "Although they won in Green Bay, they overcame Mike Tomlin's unfathomable decision to not run down the clock and kick a field goal in a tie game.", "context2": "He gave Green Bay enough time to win it and the Packers nearly did.", "target_sentence": "Tomlin reasoned that kicking what would have been from extra point range was a bigger gamble on a sloppy field than running it in.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'bigger', 'noun': 'gamble'}", "trigger_type": "comparatives", "annotator": "ZZ", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [96.02, 79.78, 96.71, 99.9, 94.94]}}
+{"uid": "872-neg", "premise": "Mr. Kim's counterpart in Brooklyn is Mr. Desir, a former lieutenant in Haiti's coast guard. Radio Voice for Haitians  Earlier immigrants depended on fliers or newspapers in their native languages to keep up with affairs at home. More often today it isn't radio and television that link ethnic communities.", "hypothesis": "Something links ethnic communities.", "label": "E", "metadata": {"context1": "Mr. Kim's counterpart in Brooklyn is Mr. Desir, a former lieutenant in Haiti's coast guard.", "context2": "Radio Voice for Haitians  Earlier immigrants depended on fliers or newspapers in their native languages to keep up with affairs at home.", "target_sentence": "More often today it isn't radio and television that link ethnic communities.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SS", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 99.94, 99.31, 90.85, 100.0]}}
+{"uid": "872", "premise": "Mr. Kim's counterpart in Brooklyn is Mr. Desir, a former lieutenant in Haiti's coast guard. Radio Voice for Haitians  Earlier immigrants depended on fliers or newspapers in their native languages to keep up with affairs at home. More often today it is radio and television that link ethnic communities.", "hypothesis": "Something links ethnic communities.", "label": "E", "metadata": {"context1": "Mr. Kim's counterpart in Brooklyn is Mr. Desir, a former lieutenant in Haiti's coast guard.", "context2": "Radio Voice for Haitians  Earlier immigrants depended on fliers or newspapers in their native languages to keep up with affairs at home.", "target_sentence": "More often today it is radio and television that link ethnic communities.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SS", "nli_labels": ["E", "N", "E", "N", "E"], "ratings": [100.0, 97.3, 100.0, 77.72, 100.0]}}
+{"uid": "873-neg", "premise": "Global cataclysm? Religious redemption? It's none of my business, really; I'll be either very old or gone, and it isn't Cecilia who'll live to find out.", "hypothesis": "Someone will live to find out.", "label": "N", "metadata": {"context1": "Global cataclysm?", "context2": "Religious redemption?", "target_sentence": "It's none of my business, really; I'll be either very old or gone, and it isn't Cecilia who'll live to find out.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SS", "nli_labels": ["N", "E", "N", "N", "E"], "ratings": [63.46, 97.98, 50.45, 50.15, 96.31]}}
+{"uid": "873", "premise": "Global cataclysm? Religious redemption? It's none of my business, really; I'll be either very old or gone, and it's Cecilia who'll live to find out.", "hypothesis": "Someone will live to find out.", "label": "E", "metadata": {"context1": "Global cataclysm?", "context2": "Religious redemption?", "target_sentence": "It's none of my business, really; I'll be either very old or gone, and it's Cecilia who'll live to find out.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "875-neg", "premise": " Spokane, Wash., is as far as you can get from Rock Hill, S.C., and still be In the NCAA Tournament just ask Rock Hill Herald reporters Gary McCann and Andrew Dys, who drove all 2,638.9 miles to cover Winthrop-but for one weekend it wasn't the Eagles who owned this town.", "hypothesis": "Someone owned this town for one weekend.", "label": "E", "metadata": {"context1": "", "context2": "Spokane, Wash., is as far as you can get from Rock Hill, S.C., and still be In the NCAA Tournament", "target_sentence": "just ask Rock Hill Herald reporters Gary McCann and Andrew Dys, who drove all 2,638.9 miles to cover Winthrop-but for one weekend it wasn't the Eagles who owned this town.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SS", "nli_labels": ["E", "E", "C", "E", "N"], "ratings": [99.25, 100.0, 0.0, 100.0, 50.75]}}
+{"uid": "875", "premise": " Spokane, Wash., is as far as you can get from Rock Hill, S.C., and still be In the NCAA Tournament just ask Rock Hill Herald reporters Gary McCann and Andrew Dys, who drove all 2,638.9 miles to cover Winthrop-but for one weekend it was the Eagles who owned this town.", "hypothesis": "Someone owned this town for one weekend.", "label": "E", "metadata": {"context1": "", "context2": "Spokane, Wash., is as far as you can get from Rock Hill, S.C., and still be In the NCAA Tournament", "target_sentence": "just ask Rock Hill Herald reporters Gary McCann and Andrew Dys, who drove all 2,638.9 miles to cover Winthrop-but for one weekend it was the Eagles who owned this town.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SS", "nli_labels": ["E", "C", "E", "E", "N"], "ratings": [97.84, 0.23, 99.62, 100.0, 93.4]}}
+{"uid": "876-neg", "premise": "  But it's just the companies that have grown.", "hypothesis": "Something has grown.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "But it's just the companies that have grown.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 99.79]}}
+{"uid": "876", "premise": "  But it's not just the companies that have grown.", "hypothesis": "Something has grown.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "But it's not just the companies that have grown.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 98.16, 100.0]}}
+{"uid": "877-neg", "premise": " Many strands of contemporary thought, including those embraced by \"deep greens\" and the far left, express aspects of such discontent. But it isn't radical Islam that has become the lightning rod for this fury.", "hypothesis": "Something has become the lighting rod for this fury.", "label": "E", "metadata": {"context1": "", "context2": "Many strands of contemporary thought, including those embraced by \"deep greens\" and the far left, express aspects of such discontent.", "target_sentence": "But it isn't radical Islam that has become the lightning rod for this fury.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SS", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 100.0, 100.0, 87.75, 99.79]}}
+{"uid": "877", "premise": " Many strands of contemporary thought, including those embraced by \"deep greens\" and the far left, express aspects of such discontent. But it is radical Islam that has become the lightning rod for this fury.", "hypothesis": "Something has become the lighting rod for this fury.", "label": "E", "metadata": {"context1": "", "context2": "Many strands of contemporary thought, including those embraced by \"deep greens\" and the far left, express aspects of such discontent.", "target_sentence": "But it is radical Islam that has become the lightning rod for this fury.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "878-neg", "premise": "Deceit is, in fact, the key ingredient of almost all of the adventures of part II. In a Bakhtinian sense the grotesque, carnivalesque nose is an icon of the deceit and also of the reversal of hierarchies characteristic of part II from the outset and pursued throughout the principal episodes that follow. In effect, insofar as it isn't Sancho's action that is responsible for the battle's outcome, we see another instance of the squire's ascendancy in part II.", "hypothesis": "Something is responsible for the battle's outcome.", "label": "E", "metadata": {"context1": "Deceit is, in fact, the key ingredient of almost all of the adventures of part II.", "context2": "In a Bakhtinian sense the grotesque, carnivalesque nose is an icon of the deceit and also of the reversal of hierarchies characteristic of part II from the outset and pursued throughout the principal episodes that follow.", "target_sentence": "In effect, insofar as it isn't Sancho's action that is responsible for the battle's outcome, we see another instance of the squire's ascendancy in part II.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SS", "nli_labels": ["E", "E", "N", "N", "E"], "ratings": [100.0, 99.9, 71.14, 87.95, 100.0]}}
+{"uid": "878", "premise": "Deceit is, in fact, the key ingredient of almost all of the adventures of part II. In a Bakhtinian sense the grotesque, carnivalesque nose is an icon of the deceit and also of the reversal of hierarchies characteristic of part II from the outset and pursued throughout the principal episodes that follow. In effect, insofar as it is Sancho's action that is responsible for the battle's outcome, we see another instance of the squire's ascendancy in part II.", "hypothesis": "Something is responsible for the battle's outcome.", "label": "E", "metadata": {"context1": "Deceit is, in fact, the key ingredient of almost all of the adventures of part II.", "context2": "In a Bakhtinian sense the grotesque, carnivalesque nose is an icon of the deceit and also of the reversal of hierarchies characteristic of part II from the outset and pursued throughout the principal episodes that follow.", "target_sentence": "In effect, insofar as it is Sancho's action that is responsible for the battle's outcome, we see another instance of the squire's ascendancy in part II.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.49, 100.0, 99.46, 100.0, 100.0]}}
+{"uid": "879-neg", "premise": "And the child, who was drooling and dazed, was drugged with opium. \"Maybe you can use it,\" Howard said, as people do with writers. Oddly enough, I just did, but it wasn't the letter that changed everything.", "hypothesis": "Something changed everything.", "label": "E", "metadata": {"context1": "And the child, who was drooling and dazed, was drugged with opium.", "context2": "\"Maybe you can use it,\" Howard said, as people do with writers.", "target_sentence": "Oddly enough, I just did, but it wasn't the letter that changed everything.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 95.53, 99.57]}}
+{"uid": "879", "premise": "And the child, who was drooling and dazed, was drugged with opium. \"Maybe you can use it,\" Howard said, as people do with writers. Oddly enough, I just did, but it was the letter that changed everything.", "hypothesis": "Something changed everything.", "label": "E", "metadata": {"context1": "And the child, who was drooling and dazed, was drugged with opium.", "context2": "\"Maybe you can use it,\" Howard said, as people do with writers.", "target_sentence": "Oddly enough, I just did, but it was the letter that changed everything.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.02, 100.0, 100.0, 95.53, 100.0]}}
+{"uid": "88-neg", "premise": " Grade: B. When it comes to mental toughness, there is a better team than this one.", "hypothesis": "This one is a team.", "label": "E", "metadata": {"context1": "", "context2": "Grade: B.", "target_sentence": "When it comes to mental toughness, there is a better team than this one.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'adjective': 'better', 'noun': 'team'}", "trigger_type": "comparatives", "annotator": "ZZ", "nli_labels": ["N", "N", "E", "E", "E"], "ratings": [80.95, 67.99, 100.0, 99.62, 100.0]}}
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+{"uid": "881-neg", "premise": "MORIARTY  Suddenly it isn't Steve who's on trial.", "hypothesis": "Someone is on trial.", "label": "E", "metadata": {"context1": "MORIARTY", "context2": "", "target_sentence": "Suddenly it isn't Steve who's on trial.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 93.4]}}
+{"uid": "881", "premise": "MORIARTY  Suddenly it's Steve who's on trial.", "hypothesis": "Someone is on trial.", "label": "E", "metadata": {"context1": "MORIARTY", "context2": "", "target_sentence": "Suddenly it's Steve who's on trial.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "889-neg", "premise": "He stood there for a mo ment, then looked into the sack, smelled the wonderful aroma of the bread, fingered the crock of pickles, letting the anger die. He knew Nathan meant well and it wasn't his frustration at his father's stubbornness that triggered this reaction in him.", "hypothesis": "Something triggered this reaction in him.", "label": "E", "metadata": {"context1": "He stood there for a mo ment, then looked into the sack, smelled the wonderful aroma of the bread, fingered the crock of pickles, letting the anger die.", "context2": "He knew Nathan meant well", "target_sentence": "and it wasn't his frustration at his father's stubbornness that triggered this reaction in him.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.19, 100.0, 99.57, 100.0]}}
+{"uid": "889", "premise": "He stood there for a mo ment, then looked into the sack, smelled the wonderful aroma of the bread, fingered the crock of pickles, letting the anger die. He knew Nathan meant well and it was his frustration at his father's stubbornness that triggered this reaction in him.", "hypothesis": "Something triggered this reaction in him.", "label": "E", "metadata": {"context1": "He stood there for a mo ment, then looked into the sack, smelled the wonderful aroma of the bread, fingered the crock of pickles, letting the anger die.", "context2": "He knew Nathan meant well", "target_sentence": "and it was his frustration at his father's stubbornness that triggered this reaction in him.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "890-neg", "premise": "Speaker A: He defined himself that way. And the Republican platform was about as conservative as it's ever been. It was just Democratic money that sort of created that image.", "hypothesis": "Something sort of created that image.", "label": "E", "metadata": {"context1": "He defined himself that way.", "context2": "And the Republican platform was about as conservative as it's ever been.", "target_sentence": "It was just Democratic money that sort of created that image.", "speaker_context1": "GREENBERG", "speaker_context2": "GREENBERG", "speaker_target": "GREENBERG", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 97.98, 99.25, 100.0]}}
+{"uid": "890", "premise": "Speaker A: He defined himself that way. And the Republican platform was about as conservative as it's ever been. It wasn't just Democratic money that sort of created that image.", "hypothesis": "Something sort of created that image.", "label": "E", "metadata": {"context1": "He defined himself that way.", "context2": "And the Republican platform was about as conservative as it's ever been.", "target_sentence": "It wasn't just Democratic money that sort of created that image.", "speaker_context1": "GREENBERG", "speaker_context2": "GREENBERG", "speaker_target": "GREENBERG", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 89.44, 98.69]}}
+{"uid": "895-neg", "premise": " He wanted it too much. \" But it was Laettner's reaction that lingered most vividly from that Arizona game.", "hypothesis": "Something lingered most vividly from the Arizona game.", "label": "E", "metadata": {"context1": "", "context2": "He wanted it too much. \"", "target_sentence": "But it was Laettner's reaction that lingered most vividly from that Arizona game.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SS", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [88.33, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "895", "premise": " He wanted it too much. \" But it wasn't Laettner's reaction that lingered most vividly from that Arizona game.", "hypothesis": "Something lingered most vividly from the Arizona game.", "label": "E", "metadata": {"context1": "", "context2": "He wanted it too much. \"", "target_sentence": "But it wasn't Laettner's reaction that lingered most vividly from that Arizona game.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SS", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 88.42, 100.0, 100.0, 100.0]}}
+{"uid": "899-neg", "premise": "( Footage-of-abandon McNAMARA: Ruins of that time still stand in many small prairie towns. And while generations have altered the face of the earth out here, it isn't always the sky that sets the mood.", "hypothesis": "Something sets the mood.", "label": "E", "metadata": {"context1": "( Footage-of-abandon McNAMARA:", "context2": "Ruins of that time still stand in many small prairie towns.", "target_sentence": "And while generations have altered the face of the earth out here, it isn't always the sky that sets the mood.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [95.65, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "899", "premise": "( Footage-of-abandon McNAMARA: Ruins of that time still stand in many small prairie towns. And while generations have altered the face of the earth out here, it is always the sky that sets the mood.", "hypothesis": "Something sets the mood.", "label": "E", "metadata": {"context1": "( Footage-of-abandon McNAMARA:", "context2": "Ruins of that time still stand in many small prairie towns.", "target_sentence": "And while generations have altered the face of the earth out here, it is always the sky that sets the mood.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.09, 100.0, 94.4, 98.92]}}
+{"uid": "90-neg", "premise": " Shares of the top 26 restaurant companies have seen their stocks lose an average 49.3% of their value from their highest points over the past 52 weeks. That has not been an even harsher pullback than the 46.5% decline of the Standard & Poor's 500 from its 52-week high.", "hypothesis": "The 46.5% decline of the Standard & Poor's 500 from its 52-week high is a pullback.", "label": "E", "metadata": {"context1": "", "context2": "Shares of the top 26 restaurant companies have seen their stocks lose an average 49.3% of their value from their highest points over the past 52 weeks.", "target_sentence": "That has not been an even harsher pullback than the 46.5% decline of the Standard & Poor's 500 from its 52-week high.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'harsher', 'noun': 'pullback'}", "trigger_type": "comparatives", "annotator": "ZZ", "nli_labels": ["E", "N", "N", "E", "E"], "ratings": [100.0, 96.25, 42.98, 100.0, 99.25]}}
+{"uid": "90", "premise": " Shares of the top 26 restaurant companies have seen their stocks lose an average 49.3% of their value from their highest points over the past 52 weeks. That's been an even harsher pullback than the 46.5% decline of the Standard & Poor's 500 from its 52-week high.", "hypothesis": "The 46.5% decline of the Standard & Poor's 500 from its 52-week high is a pullback.", "label": "E", "metadata": {"context1": "", "context2": "Shares of the top 26 restaurant companies have seen their stocks lose an average 49.3% of their value from their highest points over the past 52 weeks.", "target_sentence": "That's been an even harsher pullback than the 46.5% decline of the Standard & Poor's 500 from its 52-week high.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'harsher', 'noun': 'pullback'}", "trigger_type": "comparatives", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "901-neg", "premise": "Here I refer particularly to the unity of the virtues. For Pieper, fortitude never acts in isolation, but rather is dependant on two other virtues, namely prudence and justice, but temperance also. In particular, it isn't the virtue of prudence that enables fortitude to attain its proper realization, for fortitude is only truly fortitude when it is directed, not toward the self (the brave man), but toward \" a deeper more essential intactness.", "hypothesis": "Something enables fortitude to attain its proper realization.", "label": "E", "metadata": {"context1": "Here I refer particularly to the unity of the virtues.", "context2": "For Pieper, fortitude never acts in isolation, but rather is dependant on two other virtues, namely prudence and justice, but temperance also.", "target_sentence": "In particular, it isn't the virtue of prudence that enables fortitude to attain its proper realization, for fortitude is only truly fortitude when it is directed, not toward the self (the brave man), but toward \" a deeper more essential intactness.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [96.31, 100.0, 100.0, 100.0, 89.89]}}
+{"uid": "901", "premise": "Here I refer particularly to the unity of the virtues. For Pieper, fortitude never acts in isolation, but rather is dependant on two other virtues, namely prudence and justice, but temperance also. In particular, it is the virtue of prudence that enables fortitude to attain its proper realization, for fortitude is only truly fortitude when it is directed, not toward the self (the brave man), but toward \" a deeper more essential intactness.", "hypothesis": "Something enables fortitude to attain its proper realization.", "label": "E", "metadata": {"context1": "Here I refer particularly to the unity of the virtues.", "context2": "For Pieper, fortitude never acts in isolation, but rather is dependant on two other virtues, namely prudence and justice, but temperance also.", "target_sentence": "In particular, it is the virtue of prudence that enables fortitude to attain its proper realization, for fortitude is only truly fortitude when it is directed, not toward the self (the brave man), but toward \" a deeper more essential intactness.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{}", "trigger_type": "clefts", "annotator": "SS", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 99.34, 98.5, 85.76, 100.0]}}
+{"uid": "904-neg", "premise": "Yeah KINSLEY Are you saying that Ronald Reagan was a better hands on, business, decision making manager than H. Ross Perot? I would say he wasn't a better hands on government decision maker than Ross Perot", "hypothesis": "Ross Perot is a government decision maker", "label": "E", "metadata": {"context1": "Yeah KINSLEY", "context2": "Are you saying that Ronald Reagan was a better hands on, business, decision making manager than H. Ross Perot?", "target_sentence": "I would say he wasn't a better hands on government decision maker than Ross Perot", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'better', 'noun': 'hands'}", "trigger_type": "comparatives", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 98.29, 100.0]}}
+{"uid": "904", "premise": "Yeah KINSLEY Are you saying that Ronald Reagan was a better hands on, business, decision making manager than H. Ross Perot? Mr. MEESE: I would say he was a better hands on government decision maker than Ross Perot SUNUNU", "hypothesis": "Ross Perot is a government decision maker", "label": "N", "metadata": {"context1": "Yeah KINSLEY", "context2": "Are you saying that Ronald Reagan was a better hands on, business, decision making manager than H. Ross Perot?", "target_sentence": "Mr. MEESE: I would say he was a better hands on government decision maker than Ross Perot SUNUNU", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'better', 'noun': 'hands'}", "trigger_type": "comparatives", "annotator": "SS", "nli_labels": ["N", "N", "N", "E", "E"], "ratings": [56.88, 92.01, 62.6, 100.0, 100.0]}}
+{"uid": "907-neg", "premise": "( n22 ) Like public reconciliation, the practice of forgiveness in politics is a relatively new entry in the Abrahamic theological traditions. Accounts of transitional justice tell us that forgiveness isn't a far rarer political practice than truth telling, trials, reparations and even apologies.", "hypothesis": "Truth telling, trials, reparations and apologies are political practices.", "label": "N", "metadata": {"context1": "( n22 )", "context2": "Like public reconciliation, the practice of forgiveness in politics is a relatively new entry in the Abrahamic theological traditions.", "target_sentence": "Accounts of transitional justice tell us that forgiveness isn't a far rarer political practice than truth telling, trials, reparations and even apologies.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'rarer', 'noun': 'practice'}", "trigger_type": "comparatives", "annotator": "SS", "nli_labels": ["N", "E", "E", "N", "N"], "ratings": [90.67, 100.0, 99.57, 13.63, 84.72]}}
+{"uid": "907", "premise": "( n22 ) Like public reconciliation, the practice of forgiveness in politics is a relatively new entry in the Abrahamic theological traditions. Accounts of transitional justice tell us that forgiveness is a far rarer political practice than truth telling, trials, reparations and even apologies.", "hypothesis": "Truth telling, trials, reparations and apologies are political practices.", "label": "E", "metadata": {"context1": "( n22 )", "context2": "Like public reconciliation, the practice of forgiveness in politics is a relatively new entry in the Abrahamic theological traditions.", "target_sentence": "Accounts of transitional justice tell us that forgiveness is a far rarer political practice than truth telling, trials, reparations and even apologies.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'rarer', 'noun': 'practice'}", "trigger_type": "comparatives", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [96.14, 94.94, 100.0, 100.0, 100.0]}}
+{"uid": "91-neg", "premise": "Patricia Waugh includes fantasy among metafictive devices (Waugh 108-14). With such a view, all characters traveling between the real and the fantastic world, or, in time-shift plots, between two real worlds by fantastic means, must be counted as metafictive. Fantasy is not a considerably more conspicuous frame-breaking element in mainstream fiction than in children's fiction.", "hypothesis": "Fantasy is a frame-breaking element in children's fiction", "label": "E", "metadata": {"context1": "Patricia Waugh includes fantasy among metafictive devices (Waugh 108-14).", "context2": "With such a view, all characters traveling between the real and the fantastic world, or, in time-shift plots, between two real worlds by fantastic means, must be counted as metafictive.", "target_sentence": "Fantasy is not a considerably more conspicuous frame-breaking element in mainstream fiction than in children's fiction.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'conspicuous', 'noun': 'element'}", "trigger_type": "comparatives", "annotator": "ZZ", "nli_labels": ["C", "N", "E", "E", "E"], "ratings": [0.88, 55.09, 97.3, 99.12, 98.41]}}
+{"uid": "91", "premise": "Patricia Waugh includes fantasy among metafictive devices (Waugh 108-14). With such a view, all characters traveling between the real and the fantastic world, or, in time-shift plots, between two real worlds by fantastic means, must be counted as metafictive. Fantasy is a considerably more conspicuous frame-breaking element in mainstream fiction than in children's fiction.", "hypothesis": "Fantasy is a frame-breaking element in children's fiction", "label": "N", "metadata": {"context1": "Patricia Waugh includes fantasy among metafictive devices (Waugh 108-14).", "context2": "With such a view, all characters traveling between the real and the fantastic world, or, in time-shift plots, between two real worlds by fantastic means, must be counted as metafictive.", "target_sentence": "Fantasy is a considerably more conspicuous frame-breaking element in mainstream fiction than in children's fiction.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'conspicuous', 'noun': 'element'}", "trigger_type": "comparatives", "annotator": "ZZ", "nli_labels": ["N", "C", "N", "N", "N"], "ratings": [92.48, 0.0, 87.07, 41.35, 63.03]}}
+{"uid": "911-neg", "premise": "( n22 ) Evidently, in more than one sense the area of good governance tends to invite double standards. The reason must be that, for the World Bank, IMF and various other donors, attaining high growth rates regardless of how they came about isn't a more important indicator of good governance than having a low corruption profile.", "hypothesis": "Having a low corruption profile is an indicator of good governance.", "label": "E", "metadata": {"context1": "( n22 )", "context2": "Evidently, in more than one sense the area of good governance tends to invite double standards.", "target_sentence": "The reason must be that, for the World Bank, IMF and various other donors, attaining high growth rates regardless of how they came about isn't a more important indicator of good governance than having a low corruption profile.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'important', 'noun': 'indicator'}", "trigger_type": "comparatives", "annotator": "SS", "nli_labels": ["N", "E", "E", "N", "E"], "ratings": [31.87, 94.81, 100.0, 10.38, 98.92]}}
+{"uid": "911", "premise": "( n22 ) Evidently, in more than one sense the area of good governance tends to invite double standards. The reason must be that, for the World Bank, IMF and various other donors, attaining high growth rates regardless of how they came about is a more important indicator of good governance than having a low corruption profile.", "hypothesis": "Having a low corruption profile is an indicator of good governance.", "label": "N", "metadata": {"context1": "( n22 )", "context2": "Evidently, in more than one sense the area of good governance tends to invite double standards.", "target_sentence": "The reason must be that, for the World Bank, IMF and various other donors, attaining high growth rates regardless of how they came about is a more important indicator of good governance than having a low corruption profile.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'important', 'noun': 'indicator'}", "trigger_type": "comparatives", "annotator": "SS", "nli_labels": ["E", "N", "N", "N", "E"], "ratings": [94.19, 95.53, 38.85, 75.98, 99.34]}}
+{"uid": "912-neg", "premise": "Of course we'd rather have a slotted table, but it's a small inconvenience considering the overall quality of the tool. Next, we'd pick the Craftsman 21912. It isn't a less industrial tool than the Delta and lacks the bells and whistles, but it has decent capacity and no glaring problems.", "hypothesis": "The Delta is a tool.", "label": "E", "metadata": {"context1": "Of course we'd rather have a slotted table, but it's a small inconvenience considering the overall quality of the tool.", "context2": "Next, we'd pick the Craftsman 21912.", "target_sentence": "It isn't a less industrial tool than the Delta and lacks the bells and whistles, but it has decent capacity and no glaring problems.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'industrial', 'noun': 'tool'}", "trigger_type": "comparatives", "annotator": "SS", "nli_labels": ["E", "E", "C", "E", "E"], "ratings": [97.25, 100.0, 0.0, 99.83, 100.0]}}
+{"uid": "912", "premise": "Of course we'd rather have a slotted table, but it's a small inconvenience considering the overall quality of the tool. Next, we'd pick the Craftsman 21912. It's a less industrial tool than the Delta and lacks the bells and whistles, but it has decent capacity and no glaring problems.", "hypothesis": "The Delta is a tool.", "label": "E", "metadata": {"context1": "Of course we'd rather have a slotted table, but it's a small inconvenience considering the overall quality of the tool.", "context2": "Next, we'd pick the Craftsman 21912.", "target_sentence": "It's a less industrial tool than the Delta and lacks the bells and whistles, but it has decent capacity and no glaring problems.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'industrial', 'noun': 'tool'}", "trigger_type": "comparatives", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "915-neg", "premise": "Before we knew it, it was time for all of us join Frank Sinatra and sing \"I want to be a part of it, New York, New York!\" The crowd cheered for all the entrants as they paraded to the gate. Yes, there was sadness over what might have been, however there is a more resilient group in the United States than New Yorkers.", "hypothesis": "New Yorkers are a group in the United States.", "label": "E", "metadata": {"context1": "Before we knew it, it was time for all of us join Frank Sinatra and sing \"I want to be a part of it, New York, New York!\"", "context2": "The crowd cheered for all the entrants as they paraded to the gate.", "target_sentence": "Yes, there was sadness over what might have been, however there is a more resilient group in the United States than New Yorkers.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'adjective': 'resilient', 'noun': 'group'}", "trigger_type": "comparatives", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 97.3, 100.0, 100.0, 98.24]}}
+{"uid": "915", "premise": "Before we knew it, it was time for all of us join Frank Sinatra and sing \"I want to be a part of it, New York, New York!\" The crowd cheered for all the entrants as they paraded to the gate. Yes, there was sadness over what might have been, however there is no more resilient group in the United States than New Yorkers.", "hypothesis": "New Yorkers are a group in the United States.", "label": "E", "metadata": {"context1": "Before we knew it, it was time for all of us join Frank Sinatra and sing \"I want to be a part of it, New York, New York!\"", "context2": "The crowd cheered for all the entrants as they paraded to the gate.", "target_sentence": "Yes, there was sadness over what might have been, however there is no more resilient group in the United States than New Yorkers.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'adjective': 'resilient', 'noun': 'group'}", "trigger_type": "comparatives", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 99.09]}}
+{"uid": "916-neg", "premise": " After this experience, the firm began offering other clients such services; the company now has set the goal to double its activities in this field so that socially responsible investments will make up 10 percent of its assets under management in a few years. Selective investment for environmental and social reasons isn't a comparatively newer approach to pension fund investment than a second group of tools--\" engagement \"or\" corporate governance. \"", "hypothesis": "\"Engagement\" or \"corporate governance\" are approaches to pension fund investment.", "label": "E", "metadata": {"context1": "", "context2": "After this experience, the firm began offering other clients such services; the company now has set the goal to double its activities in this field so that socially responsible investments will make up 10 percent of its assets under management in a few years.", "target_sentence": "Selective investment for environmental and social reasons isn't a comparatively newer approach to pension fund investment than a second group of tools--\" engagement \"or\" corporate governance. \"", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'newer', 'noun': 'approach'}", "trigger_type": "comparatives", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.46, 100.0, 92.56, 93.98]}}
+{"uid": "916", "premise": " After this experience, the firm began offering other clients such services; the company now has set the goal to double its activities in this field so that socially responsible investments will make up 10 percent of its assets under management in a few years. Selective investment for environmental and social reasons is a comparatively newer approach to pension fund investment than a second group of tools--\" engagement \"or\" corporate governance. \"", "hypothesis": "\"Engagement\" or \"corporate governance\" are approaches to pension fund investment.", "label": "E", "metadata": {"context1": "", "context2": "After this experience, the firm began offering other clients such services; the company now has set the goal to double its activities in this field so that socially responsible investments will make up 10 percent of its assets under management in a few years.", "target_sentence": "Selective investment for environmental and social reasons is a comparatively newer approach to pension fund investment than a second group of tools--\" engagement \"or\" corporate governance. \"", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'newer', 'noun': 'approach'}", "trigger_type": "comparatives", "annotator": "SS", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 100.0, 100.0, 94.26, 99.09]}}
+{"uid": "92-neg", "premise": "I don't think the people are going to take that kind of manipulation. Barnes: I think there aren't more important issues than the flag.", "hypothesis": "The flag is an issue.", "label": "E", "metadata": {"context1": "I don't think the people are going to take that kind of manipulation.", "context2": "Barnes:", "target_sentence": "I think there aren't more important issues than the flag.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'important', 'noun': 'issues'}", "trigger_type": "comparatives", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 99.69, 100.0, 84.93, 100.0]}}
+{"uid": "92", "premise": "I don't think the people are going to take that kind of manipulation. Barnes: I think there are more important issues than the flag.", "hypothesis": "The flag is an issue.", "label": "N", "metadata": {"context1": "I don't think the people are going to take that kind of manipulation.", "context2": "Barnes:", "target_sentence": "I think there are more important issues than the flag.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'important', 'noun': 'issues'}", "trigger_type": "comparatives", "annotator": "ZZ", "nli_labels": ["N", "E", "N", "N", "E"], "ratings": [85.86, 100.0, 88.89, 85.66, 100.0]}}
+{"uid": "925-neg", "premise": "And he suggests that Attorney General Janet Reno should have been charged with' premeditated murder. ' Rep. STEVE STOCKMAN, (R), Texas: I didn't quite indicate that it was a conspiracy, but I felt like there wasn't a better decision than violence to overtake the compound.", "hypothesis": "Violence is a decision.", "label": "E", "metadata": {"context1": "And he suggests that Attorney General Janet Reno should have been charged with' premeditated murder. '", "context2": "Rep. STEVE STOCKMAN, (R), Texas:", "target_sentence": "I didn't quite indicate that it was a conspiracy, but I felt like there wasn't a better decision than violence to overtake the compound.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'better', 'noun': 'decision'}", "trigger_type": "comparatives", "annotator": "SS", "nli_labels": ["E", "E", "E", "C", "E"], "ratings": [99.19, 100.0, 100.0, 0.0, 100.0]}}
+{"uid": "925", "premise": "And he suggests that Attorney General Janet Reno should have been charged with' premeditated murder. ' Rep. STEVE STOCKMAN, (R), Texas: I didn't quite indicate that it was a conspiracy, but I felt like there was a better decision than violence to overtake the compound.", "hypothesis": "Violence is a decision.", "label": "E", "metadata": {"context1": "And he suggests that Attorney General Janet Reno should have been charged with' premeditated murder. '", "context2": "Rep. STEVE STOCKMAN, (R), Texas:", "target_sentence": "I didn't quite indicate that it was a conspiracy, but I felt like there was a better decision than violence to overtake the compound.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'better', 'noun': 'decision'}", "trigger_type": "comparatives", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [99.25, 96.54, 100.0, 93.76, 84.93]}}
+{"uid": "928-neg", "premise": "Speaker B: that I can't believe I'm saying, is Brussels a safe haven for terrorists, Michael?\nSpeaker A: Well, Brussels isn't a worse safe haven than some other places.", "hypothesis": "Brussels is a safe haven.", "label": "N", "metadata": {"context1": "", "context2": "that I can't believe I'm saying, is Brussels a safe haven for terrorists, Michael?", "target_sentence": "Well, Brussels isn't a worse safe haven than some other places.", "speaker_context1": "", "speaker_context2": "TODD", "speaker_target": "LEITER", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'worse', 'noun': 'haven'}", "trigger_type": "comparatives", "annotator": "SS", "nli_labels": ["N", "E", "E", "N", "N"], "ratings": [50.0, 98.92, 100.0, 51.65, 77.48]}}
+{"uid": "928", "premise": "Speaker B: that I can't believe I'm saying, is Brussels a safe haven for terrorists, Michael?\nSpeaker A: Well, Brussels is a worse safe haven than some other places.", "hypothesis": "Brussels is a safe haven.", "label": "N", "metadata": {"context1": "", "context2": "that I can't believe I'm saying, is Brussels a safe haven for terrorists, Michael?", "target_sentence": "Well, Brussels is a worse safe haven than some other places.", "speaker_context1": "", "speaker_context2": "TODD", "speaker_target": "LEITER", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'worse', 'noun': 'haven'}", "trigger_type": "comparatives", "annotator": "SS", "nli_labels": ["N", "E", "N", "C", "N"], "ratings": [10.74, 99.22, 15.49, 0.0, 90.67]}}
+{"uid": "932-neg", "premise": " Tomatoes contain vitamin C, potassium and folic acid, beta carotene, gamma-carotene, phytoene, flavonoids and other phytonutrients as well as lycopene, a little understood carotenoid. Lycopene isn't a more potent antioxidant than beta carotene and offers excellent protection against free radicals that harm nerve cells and blood vessels.", "hypothesis": "Beta carotene is an antioxidant.", "label": "E", "metadata": {"context1": "", "context2": "Tomatoes contain vitamin C, potassium and folic acid, beta carotene, gamma-carotene, phytoene, flavonoids and other phytonutrients as well as lycopene, a little understood carotenoid.", "target_sentence": "Lycopene isn't a more potent antioxidant than beta carotene and offers excellent protection against free radicals that harm nerve cells and blood vessels.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'potent', 'noun': 'antioxidant'}", "trigger_type": "comparatives", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "932", "premise": " Tomatoes contain vitamin C, potassium and folic acid, beta carotene, gamma-carotene, phytoene, flavonoids and other phytonutrients as well as lycopene, a little understood carotenoid. Lycopene is a more potent antioxidant than beta carotene and offers excellent protection against free radicals that harm nerve cells and blood vessels.", "hypothesis": "Beta carotene is an antioxidant.", "label": "E", "metadata": {"context1": "", "context2": "Tomatoes contain vitamin C, potassium and folic acid, beta carotene, gamma-carotene, phytoene, flavonoids and other phytonutrients as well as lycopene, a little understood carotenoid.", "target_sentence": "Lycopene is a more potent antioxidant than beta carotene and offers excellent protection against free radicals that harm nerve cells and blood vessels.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'potent', 'noun': 'antioxidant'}", "trigger_type": "comparatives", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.94, 100.0, 99.16, 100.0]}}
+{"uid": "934-neg", "premise": "The real question is whether information markets are more robust to the participation of irrational agents than other mechanisms. Judging by the experimental and field evidence cited above, the answer appears to be an overwhelming \"yes.\" Empirically, market prices aren't better forecasters than not only the average belief in a population, but also the beliefs of only the experts.", "hypothesis": "The average belief in a population and the belief of experts are forecasters.", "label": "E", "metadata": {"context1": "The real question is whether information markets are more robust to the participation of irrational agents than other mechanisms.", "context2": "Judging by the experimental and field evidence cited above, the answer appears to be an overwhelming \"yes.\"", "target_sentence": "Empirically, market prices aren't better forecasters than not only the average belief in a population, but also the beliefs of only the experts.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'better', 'noun': 'forecasters'}", "trigger_type": "comparatives", "annotator": "SS", "nli_labels": ["E", "E", "N", "E", "N"], "ratings": [100.0, 99.9, 2.35, 96.71, 52.4]}}
+{"uid": "934", "premise": "The real question is whether information markets are more robust to the participation of irrational agents than other mechanisms. Judging by the experimental and field evidence cited above, the answer appears to be an overwhelming \"yes.\" Empirically, market prices are better forecasters than not only the average belief in a population, but also the beliefs of only the experts.", "hypothesis": "The average belief in a population and the belief of experts are forecasters.", "label": "E", "metadata": {"context1": "The real question is whether information markets are more robust to the participation of irrational agents than other mechanisms.", "context2": "Judging by the experimental and field evidence cited above, the answer appears to be an overwhelming \"yes.\"", "target_sentence": "Empirically, market prices are better forecasters than not only the average belief in a population, but also the beliefs of only the experts.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'better', 'noun': 'forecasters'}", "trigger_type": "comparatives", "annotator": "SS", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [99.59, 9.85, 100.0, 99.25, 95.14]}}
+{"uid": "94-neg", "premise": "Feeding soldiers, prisoners and civilians  the potato did not also prove to be a safer food than grains.", "hypothesis": "grains are food.", "label": "E", "metadata": {"context1": "Feeding soldiers, prisoners and civilians", "context2": "", "target_sentence": "the potato did not also prove to be a safer food than grains.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'safer', 'noun': 'food'}", "trigger_type": "comparatives", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 91.35, 100.0]}}
+{"uid": "94", "premise": "Feeding soldiers, prisoners and civilians  the potato also proved to be a safer food than grains.", "hypothesis": "grains are food.", "label": "E", "metadata": {"context1": "Feeding soldiers, prisoners and civilians", "context2": "", "target_sentence": "the potato also proved to be a safer food than grains.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'safer', 'noun': 'food'}", "trigger_type": "comparatives", "annotator": "ZZ", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 99.34, 98.92]}}
+{"uid": "947-neg", "premise": "We don't see them on the street. Again, as we said earlier, we see glimpses of what they might have been, what hopefully they might become. The same Tommy on the street isn't a different animal than the Tommy we saw here.", "hypothesis": "Tommy is an animal.", "label": "N", "metadata": {"context1": "We don't see them on the street.", "context2": "Again, as we said earlier, we see glimpses of what they might have been, what hopefully they might become.", "target_sentence": "The same Tommy on the street isn't a different animal than the Tommy we saw here.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'different', 'noun': 'animal'}", "trigger_type": "comparatives", "annotator": "SS", "nli_labels": ["N", "N", "N", "E", "N"], "ratings": [2.7, 20.94, 55.84, 92.25, 2.7]}}
+{"uid": "947", "premise": "We don't see them on the street. Again, as we said earlier, we see glimpses of what they might have been, what hopefully they might become. The same Tommy on the street is a different animal than the Tommy we saw here.", "hypothesis": "Tommy is an animal.", "label": "C", "metadata": {"context1": "We don't see them on the street.", "context2": "Again, as we said earlier, we see glimpses of what they might have been, what hopefully they might become.", "target_sentence": "The same Tommy on the street is a different animal than the Tommy we saw here.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'different', 'noun': 'animal'}", "trigger_type": "comparatives", "annotator": "SS", "nli_labels": ["C", "C", "C", "E", "E"], "ratings": [0.0, 1.19, 0.0, 99.51, 99.88]}}
+{"uid": "95-neg", "premise": "But will it ever? \" The only way I could see it happening, \"says Page,\" would be if we could get together in a room and look each other in the eye and play and still be able to have a smile behind those eyes. Then I might think, \"Yeah, that's a good reason to consider doing something.' '\" If rock history has taught us anything, it's that not reuniting is not often a far better idea than getting back together only to disappoint the fans.", "hypothesis": "getting back together only to disappoint the fans is an idea.", "label": "N", "metadata": {"context1": "But will it ever? \"", "context2": "The only way I could see it happening, \"says Page,\" would be if we could get together in a room and look each other in the eye and play and still be able to have a smile behind those eyes.", "target_sentence": "Then I might think, \"Yeah, that's a good reason to consider doing something.' '\" If rock history has taught us anything, it's that not reuniting is not often a far better idea than getting back together only to disappoint the fans.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'better', 'noun': 'idea'}", "trigger_type": "comparatives", "annotator": "ZZ", "nli_labels": ["C", "N", "N", "N", "E"], "ratings": [0.31, 85.55, 30.76, 4.29, 97.14]}}
+{"uid": "95", "premise": "But will it ever? \" The only way I could see it happening, \"says Page,\" would be if we could get together in a room and look each other in the eye and play and still be able to have a smile behind those eyes. Then I might think, \"Yeah, that's a good reason to consider doing something.' '\" If rock history has taught us anything, it's that not reuniting is often a far better idea than getting back together only to disappoint the fans.", "hypothesis": "getting back together only to disappoint the fans is an idea.", "label": "N", "metadata": {"context1": "But will it ever? \"", "context2": "The only way I could see it happening, \"says Page,\" would be if we could get together in a room and look each other in the eye and play and still be able to have a smile behind those eyes.", "target_sentence": "Then I might think, \"Yeah, that's a good reason to consider doing something.' '\" If rock history has taught us anything, it's that not reuniting is often a far better idea than getting back together only to disappoint the fans.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'better', 'noun': 'idea'}", "trigger_type": "comparatives", "annotator": "ZZ", "nli_labels": ["E", "N", "N", "E", "N"], "ratings": [100.0, 23.9, 49.1, 100.0, 4.86]}}
+{"uid": "952-neg", "premise": "And here, the problem, John, is that none of us have seen what the chairman is talking about. This evidence was taken apparently directly to the White House, which creates another issue, because, of course, it is associates involved in the Trump campaign who are in part the subject of what we are investigating. That isn't the bigger problem, than the chairman's claim.", "hypothesis": "The chairman's claim is a problem.", "label": "E", "metadata": {"context1": "And here, the problem, John, is that none of us have seen what the chairman is talking about.", "context2": "This evidence was taken apparently directly to the White House, which creates another issue, because, of course, it is associates involved in the Trump campaign who are in part the subject of what we are investigating.", "target_sentence": "That isn't the bigger problem, than the chairman's claim.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'bigger', 'noun': 'problem'}", "trigger_type": "comparatives", "annotator": "SS", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 78.82, 99.34, 99.49, 100.0]}}
+{"uid": "952", "premise": "And here, the problem, John, is that none of us have seen what the chairman is talking about. This evidence was taken apparently directly to the White House, which creates another issue, because, of course, it is associates involved in the Trump campaign who are in part the subject of what we are investigating. That is the bigger problem, than the chairman's claim.", "hypothesis": "The chairman's claim is a problem.", "label": "E", "metadata": {"context1": "And here, the problem, John, is that none of us have seen what the chairman is talking about.", "context2": "This evidence was taken apparently directly to the White House, which creates another issue, because, of course, it is associates involved in the Trump campaign who are in part the subject of what we are investigating.", "target_sentence": "That is the bigger problem, than the chairman's claim.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'bigger', 'noun': 'problem'}", "trigger_type": "comparatives", "annotator": "SS", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [99.28, 96.02, 100.0, 87.75, 100.0]}}
+{"uid": "954-neg", "premise": "Don't mind me.  Barris doesn't resume typing.", "hypothesis": "Barris was previously typing.", "label": "E", "metadata": {"context1": "Don't mind me.", "context2": "", "target_sentence": "Barris doesn't resume typing.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'resumes'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [91.1, 100.0, 74.31, 100.0, 100.0]}}
+{"uid": "954", "premise": "Don't mind me.  Barris resumes typing.", "hypothesis": "Barris was previously typing.", "label": "E", "metadata": {"context1": "Don't mind me.", "context2": "", "target_sentence": "Barris resumes typing.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'resumes'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "956", "premise": "On Aug. 1 during an wide-ranging interview about the coming season, it was about five feet tall. Smith was proud of his horticultural skills. He started growing the plant shortly after taking over monumental task of turning around the Falcons in January 2008.", "hypothesis": "He hadn't been growing the plant before January 2008.", "label": "E", "metadata": {"context1": "On Aug. 1 during an wide-ranging interview about the coming season, it was about five feet tall.", "context2": "Smith was proud of his horticultural skills.", "target_sentence": "He started growing the plant shortly after taking over monumental task of turning around the Falcons in January 2008.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'started'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 98.62, 100.0, 94.94, 98.24]}}
+{"uid": "957-neg", "premise": "Her mom's voice from the dining room rescues her. Tessa scoots off the counter. She doesn't start to toss the half a chocolate chip cookie in the waste basket, and Jill's hand intercedes.", "hypothesis": "She previously wasn't tossing the cookie in the waste basket.", "label": "E", "metadata": {"context1": "Her mom's voice from the dining room rescues her.", "context2": "Tessa scoots off the counter.", "target_sentence": "She doesn't start to toss the half a chocolate chip cookie in the waste basket, and Jill's hand intercedes.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'starts'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["N", "E", "E", "N", "E"], "ratings": [71.95, 96.88, 89.17, 50.45, 100.0]}}
+{"uid": "957", "premise": "Her mom's voice from the dining room rescues her. Tessa scoots off the counter. She starts to toss the half a chocolate chip cookie in the waste basket, and Jill's hand intercedes.", "hypothesis": "She previously wasn't tossing the cookie in the waste basket.", "label": "E", "metadata": {"context1": "Her mom's voice from the dining room rescues her.", "context2": "Tessa scoots off the counter.", "target_sentence": "She starts to toss the half a chocolate chip cookie in the waste basket, and Jill's hand intercedes.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'starts'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["E", "E", "N", "N", "E"], "ratings": [100.0, 94.68, 65.04, 71.95, 92.72]}}
+{"uid": "958-neg", "premise": " There is still some to go. And if the president says we're done, we are not going to do anymore, we will stop illegal immigration into the country so that we can then get on to solving the problems of those who are here illegally.", "hypothesis": "Illegal immigration is currently happening.", "label": "E", "metadata": {"context1": "", "context2": "There is still some to go.", "target_sentence": "And if the president says we're done, we are not going to do anymore, we will stop illegal immigration into the country so that we can then get on to solving the problems of those who are here illegally.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'stop'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "958", "premise": " There is still some to go. And if the president says we're done, we are not going to do anymore, we will never stop illegal immigration into the country so that we can then get on to solving the problems of those who are here illegally.", "hypothesis": "Illegal immigration is currently happening.", "label": "E", "metadata": {"context1": "", "context2": "There is still some to go.", "target_sentence": "And if the president says we're done, we are not going to do anymore, we will never stop illegal immigration into the country so that we can then get on to solving the problems of those who are here illegally.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": true, "trigger_data": "{'predicate': 'stop'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [97.98, 98.37, 100.0, 100.0, 100.0]}}
+{"uid": "960-neg", "premise": "And at that point, worrying about my parents' relationship seemed as unnecessary as finding the answer to a puzzle on a stupid TV show. They were fine, holding hands or not. There was nothing to see; we didn't keep on driving, didn't even think about slowing down.", "hypothesis": "We previously had been driving.", "label": "E", "metadata": {"context1": "And at that point, worrying about my parents' relationship seemed as unnecessary as finding the answer to a puzzle on a stupid TV show.", "context2": "They were fine, holding hands or not.", "target_sentence": "There was nothing to see; we didn't keep on driving, didn't even think about slowing down.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'kept'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [99.62, 84.93, 99.94, 99.66, 95.71]}}
+{"uid": "960", "premise": "And at that point, worrying about my parents' relationship seemed as unnecessary as finding the answer to a puzzle on a stupid TV show. They were fine, holding hands or not. There was nothing to see; we kept on driving, didn't even think about slowing down.", "hypothesis": "We previously had been driving.", "label": "E", "metadata": {"context1": "And at that point, worrying about my parents' relationship seemed as unnecessary as finding the answer to a puzzle on a stupid TV show.", "context2": "They were fine, holding hands or not.", "target_sentence": "There was nothing to see; we kept on driving, didn't even think about slowing down.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'kept'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 98.37]}}
+{"uid": "961-neg", "premise": " The practical effect of the controversy over it was exactly the opposite of what Moynihan intended--all public discussions in mainstream liberal circles of issues like the state of the black family and the culture of poverty simply ceased. Race relations inside the civil rights movement and in the social sciences--supposedly the two main sources of ideas for new racial initiatives directed at the North--didn't continue to worsen.", "hypothesis": "Race relations had previously been worsening.", "label": "E", "metadata": {"context1": "", "context2": "The practical effect of the controversy over it was exactly the opposite of what Moynihan intended--all public discussions in mainstream liberal circles of issues like the state of the black family and the culture of poverty simply ceased.", "target_sentence": "Race relations inside the civil rights movement and in the social sciences--supposedly the two main sources of ideas for new racial initiatives directed at the North--didn't continue to worsen.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'continued'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [91.6, 100.0, 97.98, 99.25, 99.88]}}
+{"uid": "961", "premise": " The practical effect of the controversy over it was exactly the opposite of what Moynihan intended--all public discussions in mainstream liberal circles of issues like the state of the black family and the culture of poverty simply ceased. Race relations inside the civil rights movement and in the social sciences--supposedly the two main sources of ideas for new racial initiatives directed at the North--continued to worsen.", "hypothesis": "Race relations had previously been worsening.", "label": "E", "metadata": {"context1": "", "context2": "The practical effect of the controversy over it was exactly the opposite of what Moynihan intended--all public discussions in mainstream liberal circles of issues like the state of the black family and the culture of poverty simply ceased.", "target_sentence": "Race relations inside the civil rights movement and in the social sciences--supposedly the two main sources of ideas for new racial initiatives directed at the North--continued to worsen.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'continued'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [98.5, 100.0, 12.73, 100.0, 98.2]}}
+{"uid": "962-neg", "premise": " 42 Hong Kong's economy has, as a whole, not continued to grow.", "hypothesis": "Hong Kong's economy had previously been growing.", "label": "E", "metadata": {"context1": "", "context2": "42", "target_sentence": "Hong Kong's economy has, as a whole, not continued to grow.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'continued'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["N", "E", "E", "E", "N"], "ratings": [3.18, 100.0, 100.0, 99.46, 50.45]}}
+{"uid": "962", "premise": " 42 Hong Kong's economy has, as a whole, continued to grow.", "hypothesis": "Hong Kong's economy had previously been growing.", "label": "E", "metadata": {"context1": "", "context2": "42", "target_sentence": "Hong Kong's economy has, as a whole, continued to grow.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'continued'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["E", "N", "E", "N", "E"], "ratings": [100.0, 90.5, 100.0, 95.65, 99.22]}}
+{"uid": "963-neg", "premise": "\"Well, if you'll just stop talking for a minute, I'll take a stab at it.\" He sighed and lowered his head into his hands. The heat didn't keep radiating from the lava rocks.", "hypothesis": "The heat had previosusly been radiatiating from the lava rocks.", "label": "E", "metadata": {"context1": "\"Well, if you'll just stop talking for a minute, I'll take a stab at it.\"", "context2": "He sighed and lowered his head into his hands.", "target_sentence": "The heat didn't keep radiating from the lava rocks.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'kept'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["E", "E", "N", "E", "E"], "ratings": [100.0, 96.88, 97.93, 95.33, 100.0]}}
+{"uid": "963", "premise": "\"Well, if you'll just stop talking for a minute, I'll take a stab at it.\" He sighed and lowered his head into his hands. The heat kept radiating from the lava rocks.", "hypothesis": "The heat had previosusly been radiatiating from the lava rocks.", "label": "E", "metadata": {"context1": "\"Well, if you'll just stop talking for a minute, I'll take a stab at it.\"", "context2": "He sighed and lowered his head into his hands.", "target_sentence": "The heat kept radiating from the lava rocks.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'kept'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.07, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "966-neg", "premise": "Exchange rates of qualifying countries irrevocably fixes. European Central Bank takes over monetary policy. Early 2002--Euro notes don't begin to circulate.", "hypothesis": "Euro notes were not circulating before early 2002.", "label": "E", "metadata": {"context1": "Exchange rates of qualifying countries irrevocably fixes.", "context2": "European Central Bank takes over monetary policy.", "target_sentence": "Early 2002--Euro notes don't begin to circulate.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'begin'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [78.7, 99.28, 100.0, 100.0, 99.85]}}
+{"uid": "966", "premise": "Exchange rates of qualifying countries irrevocably fixes. European Central Bank takes over monetary policy. Early 2002--Euro notes begin to circulate.", "hypothesis": "Euro notes were not circulating before early 2002.", "label": "E", "metadata": {"context1": "Exchange rates of qualifying countries irrevocably fixes.", "context2": "European Central Bank takes over monetary policy.", "target_sentence": "Early 2002--Euro notes begin to circulate.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'begin'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [94.74, 100.0, 97.09, 97.98, 100.0]}}
+{"uid": "967-neg", "premise": "Four of the boys were gathered outside the door of the supply closet in their pajamas. They looked like cornered foxes with matching crewcuts. The blacks of their eyes didn't begin to shrink.", "hypothesis": "The blacks of their eyes hadn't been shrinking earlier.", "label": "E", "metadata": {"context1": "Four of the boys were gathered outside the door of the supply closet in their pajamas.", "context2": "They looked like cornered foxes with matching crewcuts.", "target_sentence": "The blacks of their eyes didn't begin to shrink.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["E", "E", "N", "N", "E"], "ratings": [100.0, 100.0, 74.96, 18.02, 100.0]}}
+{"uid": "967", "premise": "Four of the boys were gathered outside the door of the supply closet in their pajamas. They looked like cornered foxes with matching crewcuts. The blacks of their eyes began to shrink.", "hypothesis": "The blacks of their eyes hadn't been shrinking earlier.", "label": "N", "metadata": {"context1": "Four of the boys were gathered outside the door of the supply closet in their pajamas.", "context2": "They looked like cornered foxes with matching crewcuts.", "target_sentence": "The blacks of their eyes began to shrink.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["N", "E", "N", "N", "E"], "ratings": [74.83, 98.37, 83.32, 95.33, 100.0]}}
+{"uid": "968-neg", "premise": "The Dark Knight hit that mark in just five days. But what happened after that--in the second month, and the third--is what made Titanic a phenomenon that now seems like a remnant of a lost world. People didn't keep going.", "hypothesis": "People had previously been going,", "label": "E", "metadata": {"context1": "The Dark Knight hit that mark in just five days.", "context2": "But what happened after that--in the second month, and the third--is what made Titanic a phenomenon that now seems like a remnant of a lost world.", "target_sentence": "People didn't keep going.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'kept'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["E", "N", "N", "E", "E"], "ratings": [100.0, 92.56, 97.14, 100.0, 100.0]}}
+{"uid": "968", "premise": "The Dark Knight hit that mark in just five days. But what happened after that--in the second month, and the third--is what made Titanic a phenomenon that now seems like a remnant of a lost world. People kept going.", "hypothesis": "People had previously been going,", "label": "E", "metadata": {"context1": "The Dark Knight hit that mark in just five days.", "context2": "But what happened after that--in the second month, and the third--is what made Titanic a phenomenon that now seems like a remnant of a lost world.", "target_sentence": "People kept going.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'kept'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 99.69, 98.92, 100.0]}}
+{"uid": "969-neg", "premise": "New chemistry. A flexible wartime foreign policy means the United Nations is back in good graces: The administration is even counting on the oft-maligned international body to lead \"nation building\" efforts in postwar Afghanistan. Elsewhere, the new chemistry in foreign affairs doesn't continue to transform relationships.", "hypothesis": "The new chemistry in foreign affairs has previously been transforming relationships.", "label": "E", "metadata": {"context1": "New chemistry.", "context2": "A flexible wartime foreign policy means the United Nations is back in good graces: The administration is even counting on the oft-maligned international body to lead \"nation building\" efforts in postwar Afghanistan.", "target_sentence": "Elsewhere, the new chemistry in foreign affairs doesn't continue to transform relationships.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'continues'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["E", "N", "E", "N", "E"], "ratings": [100.0, 64.04, 86.07, 50.0, 100.0]}}
+{"uid": "969", "premise": "New chemistry. A flexible wartime foreign policy means the United Nations is back in good graces: The administration is even counting on the oft-maligned international body to lead \"nation building\" efforts in postwar Afghanistan. Elsewhere, the new chemistry in foreign affairs continues to transform relationships.", "hypothesis": "The new chemistry in foreign affairs has previously been transforming relationships.", "label": "E", "metadata": {"context1": "New chemistry.", "context2": "A flexible wartime foreign policy means the United Nations is back in good graces: The administration is even counting on the oft-maligned international body to lead \"nation building\" efforts in postwar Afghanistan.", "target_sentence": "Elsewhere, the new chemistry in foreign affairs continues to transform relationships.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'continues'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [95.59, 98.24, 87.95, 100.0, 100.0]}}
+{"uid": "97", "premise": "Sailors also received an allotment of butter and cheese, but these items spoiled rapidly resulting in noxious odors and inedible rations. ( n10 ) Alcoholic beverages were better alternatives than stale or putrid water but still lacked the nutrients necessary to fulfill daily requirements and suffered similar problems of fermentation and decay.", "hypothesis": "stale or putrid water were alternatives.", "label": "E", "metadata": {"context1": "Sailors also received an allotment of butter and cheese, but these items spoiled rapidly resulting in noxious odors and inedible rations.", "context2": "( n10 )", "target_sentence": "Alcoholic beverages were better alternatives than stale or putrid water but still lacked the nutrients necessary to fulfill daily requirements and suffered similar problems of fermentation and decay.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'adjective': 'better', 'noun': 'alternatives'}", "trigger_type": "comparatives", "annotator": "ZZ", "nli_labels": ["N", "E", "E", "C", "E"], "ratings": [95.84, 100.0, 99.12, 0.0, 99.77]}}
+{"uid": "971-neg", "premise": "\"Alive.\"  Around the country, people didn't begin to rally, to gather goods to distrubte to those in need.", "hypothesis": "People hadn't previously been rallying and gathering goods.", "label": "N", "metadata": {"context1": "\"Alive.\"", "context2": "", "target_sentence": "Around the country, people didn't begin to rally, to gather goods to distrubte to those in need.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["E", "E", "N", "N", "N"], "ratings": [95.65, 92.48, 4.86, 64.18, 2.86]}}
+{"uid": "971", "premise": "\"Alive.\"  Around the country, people began to rally, to gather goods to distrubte to those in need.", "hypothesis": "People hadn't previously been rallying and gathering goods.", "label": "N", "metadata": {"context1": "\"Alive.\"", "context2": "", "target_sentence": "Around the country, people began to rally, to gather goods to distrubte to those in need.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'began'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["E", "N", "N", "E", "N"], "ratings": [100.0, 50.0, 91.93, 96.66, 91.1]}}
+{"uid": "972-neg", "premise": "She flipped me off, Sergeant. I lost it. I didn't start shooting.", "hypothesis": "I hadn't been shooting earlier.", "label": "E", "metadata": {"context1": "She flipped me off, Sergeant.", "context2": "I lost it.", "target_sentence": "I didn't start shooting.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'started'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["E", "N", "E", "E", "N"], "ratings": [99.16, 48.5, 100.0, 100.0, 49.1]}}
+{"uid": "972", "premise": "She flipped me off, Sergeant. I lost it. I started shooting.", "hypothesis": "I hadn't been shooting earlier.", "label": "E", "metadata": {"context1": "She flipped me off, Sergeant.", "context2": "I lost it.", "target_sentence": "I started shooting.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'started'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["N", "E", "N", "E", "E"], "ratings": [90.42, 85.24, 91.1, 100.0, 99.9]}}
+{"uid": "974-neg", "premise": "\" The work for my Berkeley presentation was merely a rehash, and I had time to walk. Coming out of my hotel one day, I saw a young couple dressed in the earthy duds of the time, Oshkosh B'goshes and a gray peasant skirt, standing next to a man delivering water bottles. The couple didn't start to applaud.", "hypothesis": "The couple hadn't been applauding ealier.", "label": "E", "metadata": {"context1": "\" The work for my Berkeley presentation was merely a rehash, and I had time to walk.", "context2": "Coming out of my hotel one day, I saw a young couple dressed in the earthy duds of the time, Oshkosh B'goshes and a gray peasant skirt, standing next to a man delivering water bottles.", "target_sentence": "The couple didn't start to applaud.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'started'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [94.4, 100.0, 100.0, 100.0, 95.71]}}
+{"uid": "974", "premise": "\" The work for my Berkeley presentation was merely a rehash, and I had time to walk. Coming out of my hotel one day, I saw a young couple dressed in the earthy duds of the time, Oshkosh B'goshes and a gray peasant skirt, standing next to a man delivering water bottles. The couple started to applaud.", "hypothesis": "The couple hadn't been applauding ealier.", "label": "E", "metadata": {"context1": "\" The work for my Berkeley presentation was merely a rehash, and I had time to walk.", "context2": "Coming out of my hotel one day, I saw a young couple dressed in the earthy duds of the time, Oshkosh B'goshes and a gray peasant skirt, standing next to a man delivering water bottles.", "target_sentence": "The couple started to applaud.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'started'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [98.2, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "975-neg", "premise": "  I wasn't starting to feel more than a little sick.", "hypothesis": "I hadn't been feeling more than a little sick earlier.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "I wasn't starting to feel more than a little sick.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'starting'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["E", "E", "N", "E", "N"], "ratings": [98.45, 99.54, 71.41, 100.0, 89.44]}}
+{"uid": "975", "premise": "  I was starting to feel more than a little sick.", "hypothesis": "I hadn't been feeling more than a little sick earlier.", "label": "E", "metadata": {"context1": "", "context2": "", "target_sentence": "I was starting to feel more than a little sick.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'starting'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [100.0, 100.0, 84.93, 92.79, 100.0]}}
+{"uid": "976-neg", "premise": "Speaker A: So I was always, like, hands were raw. And I had no anti-bodies. I didn't start getting warts.", "hypothesis": "I hadn't previously been getting warts.", "label": "E", "metadata": {"context1": "So I was always, like, hands were raw.", "context2": "And I had no anti-bodies.", "target_sentence": "I didn't start getting warts.", "speaker_context1": "HOWIE-MANDEL-@1COM", "speaker_context2": "HOWIE-MANDEL-@1COM", "speaker_target": "HOWIE-MANDEL-@1COM", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'started'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [100.0, 100.0, 100.0, 98.62, 54.94]}}
+{"uid": "976", "premise": "Speaker A: So I was always, like, hands were raw. And I had no anti-bodies. I started getting warts.", "hypothesis": "I hadn't previously been getting warts.", "label": "E", "metadata": {"context1": "So I was always, like, hands were raw.", "context2": "And I had no anti-bodies.", "target_sentence": "I started getting warts.", "speaker_context1": "HOWIE-MANDEL-@1COM", "speaker_context2": "HOWIE-MANDEL-@1COM", "speaker_target": "HOWIE-MANDEL-@1COM", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'started'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["E", "N", "E", "N", "E"], "ratings": [100.0, 91.1, 96.37, 91.27, 99.28]}}
+{"uid": "979-neg", "premise": " Two hours later the monotony of the planet rotating beneath the Enterprise finally began to lull Picard from the hyperalertness that had followed Selar's page. He wasn't starting to think he had misinterpreted the warning prickle that had sent him to the bridge when he heard Geordi give a short grunt.", "hypothesis": "He hadn't previously been thinking that he had misinterpreted the warning prickle.", "label": "E", "metadata": {"context1": "", "context2": "Two hours later the monotony of the planet rotating beneath the Enterprise finally began to lull Picard from the hyperalertness that had followed Selar's page.", "target_sentence": "He wasn't starting to think he had misinterpreted the warning prickle that had sent him to the bridge when he heard Geordi give a short grunt.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'starting'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [69.24, 100.0, 100.0, 100.0, 97.45]}}
+{"uid": "979", "premise": " Two hours later the monotony of the planet rotating beneath the Enterprise finally began to lull Picard from the hyperalertness that had followed Selar's page. He was starting to think he had misinterpreted the warning prickle that had sent him to the bridge when he heard Geordi give a short grunt.", "hypothesis": "He hadn't previously been thinking that he had misinterpreted the warning prickle.", "label": "N", "metadata": {"context1": "", "context2": "Two hours later the monotony of the planet rotating beneath the Enterprise finally began to lull Picard from the hyperalertness that had followed Selar's page.", "target_sentence": "He was starting to think he had misinterpreted the warning prickle that had sent him to the bridge when he heard Geordi give a short grunt.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'starting'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["N", "E", "N", "N", "N"], "ratings": [84.51, 100.0, 16.14, 81.52, 12.83]}}
+{"uid": "980-neg", "premise": " Strauss's account of Farabi's manner of treating the immortality of the soul was apparently insufficient to allow us to grasp Farabi's intention concerning the \"more complex aspects\" of the \"matter.\" Somewhat awkwardly and even apologetically, Strauss doesn't continue his digression in the succeeding paragraph: \"Considering the importance of the subject, we will be excused for adducing a third example\" (372).", "hypothesis": "Strauss has been digressing in an earlier paragraph.", "label": "E", "metadata": {"context1": "", "context2": "Strauss's account of Farabi's manner of treating the immortality of the soul was apparently insufficient to allow us to grasp Farabi's intention concerning the \"more complex aspects\" of the \"matter.\"", "target_sentence": "Somewhat awkwardly and even apologetically, Strauss doesn't continue his digression in the succeeding paragraph: \"Considering the importance of the subject, we will be excused for adducing a third example\" (372).", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'continues'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 95.96]}}
+{"uid": "980", "premise": " Strauss's account of Farabi's manner of treating the immortality of the soul was apparently insufficient to allow us to grasp Farabi's intention concerning the \"more complex aspects\" of the \"matter.\" Somewhat awkwardly and even apologetically, Strauss continues his digression in the succeeding paragraph: \"Considering the importance of the subject, we will be excused for adducing a third example\" (372).", "hypothesis": "Strauss has been digressing in an earlier paragraph.", "label": "E", "metadata": {"context1": "", "context2": "Strauss's account of Farabi's manner of treating the immortality of the soul was apparently insufficient to allow us to grasp Farabi's intention concerning the \"more complex aspects\" of the \"matter.\"", "target_sentence": "Somewhat awkwardly and even apologetically, Strauss continues his digression in the succeeding paragraph: \"Considering the importance of the subject, we will be excused for adducing a third example\" (372).", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'continues'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["E", "E", "N", "N", "E"], "ratings": [96.98, 99.54, 75.47, 12.83, 96.14]}}
+{"uid": "982-neg", "premise": "I am a tiny little insect and were she to roll over in this moment she would crush me.  I don't keep trying to convince myself that I can live without her, but it's no use.", "hypothesis": "I have previously been trying to convince myself that I can live without her.", "label": "E", "metadata": {"context1": "I am a tiny little insect and were she to roll over in this moment she would crush me.", "context2": "", "target_sentence": "I don't keep trying to convince myself that I can live without her, but it's no use.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'keep'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "N", "E"], "ratings": [96.6, 100.0, 100.0, 82.43, 100.0]}}
+{"uid": "982", "premise": "I am a tiny little insect and were she to roll over in this moment she would crush me.  I keep trying to convince myself that I can live without her, but it's no use.", "hypothesis": "I have previously been trying to convince myself that I can live without her.", "label": "E", "metadata": {"context1": "I am a tiny little insect and were she to roll over in this moment she would crush me.", "context2": "", "target_sentence": "I keep trying to convince myself that I can live without her, but it's no use.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'keep'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["E", "N", "E", "E", "E"], "ratings": [100.0, 88.04, 91.35, 100.0, 97.88]}}
+{"uid": "983-neg", "premise": "Speaker A: Look, Sean, as a former press secretary, my job is to deal with all reporters. And I do and I don't continue to enjoy doing that.", "hypothesis": "I have previously enjoyed dealing with reporters.", "label": "E", "metadata": {"context1": "Look, Sean, as a former press secretary, my job is to deal with all reporters.", "context2": "And I do", "target_sentence": "and I don't continue to enjoy doing that.", "speaker_context1": "ARI-FLEISCHER , -FOR", "speaker_context2": "ARI-FLEISCHER , -FOR", "speaker_target": "ARI-FLEISCHER , -FOR", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'continue'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["C", "E", "E", "E", "N"], "ratings": [0.0, 100.0, 100.0, 100.0, 3.23]}}
+{"uid": "983", "premise": "Speaker A: Look, Sean, as a former press secretary, my job is to deal with all reporters. And I do and I continue to enjoy doing that.", "hypothesis": "I have previously enjoyed dealing with reporters.", "label": "E", "metadata": {"context1": "Look, Sean, as a former press secretary, my job is to deal with all reporters.", "context2": "And I do", "target_sentence": "and I continue to enjoy doing that.", "speaker_context1": "ARI-FLEISCHER , -FOR", "speaker_context2": "ARI-FLEISCHER , -FOR", "speaker_target": "ARI-FLEISCHER , -FOR", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'continue'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.28, 100.0, 98.29, 98.88]}}
+{"uid": "985-neg", "premise": "At that speed the air slips smoothly around an airplane's shape. But when a supersonic airplane powered by high-performance military engines approaches the speed of sound, the air can't get out of the way fast enough. It doesn't start to pile up into pressure waves that stream outward like the wake from a ship at sea.", "hypothesis": "The air isn't piling up into pressure waves just before then.", "label": "E", "metadata": {"context1": "At that speed the air slips smoothly around an airplane's shape.", "context2": "But when a supersonic airplane powered by high-performance military engines approaches the speed of sound, the air can't get out of the way fast enough.", "target_sentence": "It doesn't start to pile up into pressure waves that stream outward like the wake from a ship at sea.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'starts'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["E", "N", "E", "C", "E"], "ratings": [98.07, 73.4, 96.88, 0.36, 100.0]}}
+{"uid": "985", "premise": "At that speed the air slips smoothly around an airplane's shape. But when a supersonic airplane powered by high-performance military engines approaches the speed of sound, the air can't get out of the way fast enough. It starts to pile up into pressure waves that stream outward like the wake from a ship at sea.", "hypothesis": "The air isn't piling up into pressure waves just before then.", "label": "E", "metadata": {"context1": "At that speed the air slips smoothly around an airplane's shape.", "context2": "But when a supersonic airplane powered by high-performance military engines approaches the speed of sound, the air can't get out of the way fast enough.", "target_sentence": "It starts to pile up into pressure waves that stream outward like the wake from a ship at sea.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'starts'}", "trigger_type": "aspectual_verbs", "annotator": "SS", "nli_labels": ["E", "E", "N", "C", "E"], "ratings": [99.64, 99.51, 13.53, 0.0, 100.0]}}
+{"uid": "988-neg", "premise": " Yeah, they're very good. I think I could have my face completely bandaged and those guys wouldn't know who I am.", "hypothesis": "I am someone.", "label": "E", "metadata": {"context1": "", "context2": "Yeah, they're very good.", "target_sentence": "I think I could have my face completely bandaged and those guys wouldn't know who I am.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': 'who I am'}", "trigger_type": "embedded_question", "annotator": "SS", "nli_labels": ["N", "E", "E", "E", "E"], "ratings": [90.42, 100.0, 99.22, 99.12, 100.0]}}
+{"uid": "988", "premise": " Yeah, they're very good. I think I could have my face completely bandaged and those guys would know who I am.", "hypothesis": "I am someone.", "label": "E", "metadata": {"context1": "", "context2": "Yeah, they're very good.", "target_sentence": "I think I could have my face completely bandaged and those guys would know who I am.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': 'who I am'}", "trigger_type": "embedded_question", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 99.79, 100.0, 100.0, 100.0]}}
+{"uid": "989-neg", "premise": "I have a little thing for her. GOLD I don't know how you can keep the show on.", "hypothesis": "You can keep the show on in some way.", "label": "N", "metadata": {"context1": "I have a little thing for her.", "context2": "GOLD", "target_sentence": "I don't know how you can keep the show on.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': 'how you can keep the show on'}", "trigger_type": "embedded_question", "annotator": "SS", "nli_labels": ["N", "N", "N", "E", "C"], "ratings": [82.09, 48.35, 53.15, 99.02, 0.0]}}
+{"uid": "989", "premise": "I have a little thing for her. GOLD I know how you can keep the show on.", "hypothesis": "You can keep the show on in some way.", "label": "E", "metadata": {"context1": "I have a little thing for her.", "context2": "GOLD", "target_sentence": "I know how you can keep the show on.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': 'how you can keep the show on'}", "trigger_type": "embedded_question", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [99.28, 100.0, 100.0, 100.0, 96.43]}}
+{"uid": "991-neg", "premise": "I've worked obviously suspicious gobblers for an hour only to have them lose all wariness and come sprinting toward me when they spotted a hen or jake decoy. And I've had \"hot\" gobblers turn tail feathers and run the moment they caught sight of a decoy. It's not the case that you just never know how they'll react.", "hypothesis": "They will react in some way.", "label": "E", "metadata": {"context1": "I've worked obviously suspicious gobblers for an hour only to have them lose all wariness and come sprinting toward me when they spotted a hen or jake decoy.", "context2": "And I've had \"hot\" gobblers turn tail feathers and run the moment they caught sight of a decoy.", "target_sentence": "It's not the case that you just never know how they'll react.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': \"how they 'll react\"}", "trigger_type": "embedded_question", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "N"], "ratings": [100.0, 100.0, 100.0, 100.0, 82.87]}}
+{"uid": "991", "premise": "I've worked obviously suspicious gobblers for an hour only to have them lose all wariness and come sprinting toward me when they spotted a hen or jake decoy. And I've had \"hot\" gobblers turn tail feathers and run the moment they caught sight of a decoy. You just never know how they'll react.", "hypothesis": "They will react in some way.", "label": "E", "metadata": {"context1": "I've worked obviously suspicious gobblers for an hour only to have them lose all wariness and come sprinting toward me when they spotted a hen or jake decoy.", "context2": "And I've had \"hot\" gobblers turn tail feathers and run the moment they caught sight of a decoy.", "target_sentence": "You just never know how they'll react.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': \"how they 'll react\"}", "trigger_type": "embedded_question", "annotator": "SS", "nli_labels": ["E", "E", "E", "N", "N"], "ratings": [100.0, 99.9, 100.0, 90.85, 71.95]}}
+{"uid": "993-neg", "premise": "And, of course, at that time my dad was dying, and we had a cat who died. There was a lot of death around. And there was this bird who had died in our driveway, and I just left it there, and every day we went and looked at this bird, you know, and didn't see what happened.", "hypothesis": "Something happened.", "label": "E", "metadata": {"context1": "And, of course, at that time my dad was dying, and we had a cat who died.", "context2": "There was a lot of death around.", "target_sentence": "And there was this bird who had died in our driveway, and I just left it there, and every day we went and looked at this bird, you know, and didn't see what happened.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'saw', 'embedded_question': 'what happened'}", "trigger_type": "embedded_question", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 100.0]}}
+{"uid": "993", "premise": "And, of course, at that time my dad was dying, and we had a cat who died. There was a lot of death around. And there was this bird who had died in our driveway, and I just left it there, and every day we went and looked at this bird, you know, and saw what happened.", "hypothesis": "Something happened.", "label": "E", "metadata": {"context1": "And, of course, at that time my dad was dying, and we had a cat who died.", "context2": "There was a lot of death around.", "target_sentence": "And there was this bird who had died in our driveway, and I just left it there, and every day we went and looked at this bird, you know, and saw what happened.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'saw', 'embedded_question': 'what happened'}", "trigger_type": "embedded_question", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 100.0, 96.2]}}
+{"uid": "999-neg", "premise": "I felt grubby just looking at her.  I don't know what Elissa's favorite hobby is, \" Kyle said with a wicked grin.", "hypothesis": "Elissa has a favorite hobby.", "label": "N", "metadata": {"context1": "I felt grubby just looking at her.", "context2": "", "target_sentence": "I don't know what Elissa's favorite hobby is, \" Kyle said with a wicked grin.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "negated", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': \"what Elissa 's favorite hobby is\"}", "trigger_type": "embedded_question", "annotator": "SS", "nli_labels": ["N", "E", "N", "E", "N"], "ratings": [91.93, 100.0, 71.95, 100.0, 84.82]}}
+{"uid": "999", "premise": "I felt grubby just looking at her.  I know what Elissa's favorite hobby is, \" Kyle said with a wicked grin.", "hypothesis": "Elissa has a favorite hobby.", "label": "E", "metadata": {"context1": "I felt grubby just looking at her.", "context2": "", "target_sentence": "I know what Elissa's favorite hobby is, \" Kyle said with a wicked grin.", "speaker_context1": "", "speaker_context2": "", "speaker_target": "", "type": "original", "adversarial": false, "original_negated": false, "trigger_data": "{'predicate': 'know', 'embedded_question': \"what Elissa 's favorite hobby is\"}", "trigger_type": "embedded_question", "annotator": "SS", "nli_labels": ["E", "E", "E", "E", "E"], "ratings": [100.0, 100.0, 100.0, 99.28, 99.28]}}