uid
stringlengths 1
8
| premise
stringlengths 21
710
| hypothesis
stringlengths 7
230
| label
stringclasses 3
values | metadata
dict |
---|---|---|---|---|
1824 | 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! | She's like this | N | {
"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,
93.98,
87.66,
92.64,
100
]
} |
1825-neg | 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. | Someone will live and someone will die | E | {
"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
]
} |
1825 | 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. | Someone will live and someone will die | N | {
"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,
95.9,
8.32
]
} |
1826-neg | No. Most of our plants don't know where they are in terms of competitiveness. | Our plants have a level of competitiveness | E | {
"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,
94.26,
100,
100,
98.92
]
} |
1826 | No. Most of our plants know where they are in terms of competitiveness. | Our plants have a level of competitiveness | E | {
"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,
99.9,
100,
96.37,
99.25
]
} |
1827-neg | 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. | She'd respond in some way out there | E | {
"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
]
} |
1827 | 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. | She'd respond in some way out there | N | {
"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
]
} |
1828-neg | Europeans act bored because they are bewildered, even dazed. Most of them know what has hit them. | Something has hit Europeans | N | {
"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
]
} |
1828 | Europeans act bored because they are bewildered, even dazed. Most of them don't know what has hit them. | Something has hit Europeans | E | {
"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
]
} |
1829-neg | LAURA BROWN: Well, I don't know why I wear them | I wear them | E | {
"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,
100,
99.9,
100,
100
]
} |
1829 | LAURA BROWN: Well, I know why I wear them | I wear them | N | {
"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,
94.12,
100,
49.85
]
} |
183-neg | I'm no angel, but I don't buy and sell women. Fanny left me long ago; I know where she is. | She is somewhere. | E | {
"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,
100,
94.94,
91.84,
93.17
]
} |
183 | I'm no angel, but I don't buy and sell women. Fanny left me long ago; I don't know where she is. | She is somewhere. | E | {
"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,
100,
100,
100,
95.9
]
} |
1831 | 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. | Liberal Democrats are saying something about Iraq. | E | {
"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,
97.74
]
} |
1838-neg | 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. | You think something | E | {
"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,
100,
100,
100,
98.88
]
} |
1838 | 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. | You think something | E | {
"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,
90.06,
99.16,
49.55,
77.97
]
} |
1844-neg | 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 | I was brought to court | E | {
"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,
100,
100,
100,
100
]
} |
1844 | 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 | I was brought to court | E | {
"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,
100,
100,
99.9,
100
]
} |
1846-neg | "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. | You know something now | E | {
"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,
100,
97.25,
98.62,
100
]
} |
1846 | "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. | You know something now | E | {
"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,
100,
79.18,
100,
99.12
]
} |
185-neg | 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. | Iraqis join the insurgency. | E | {
"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,
100,
100,
100,
96.93
]
} |
185 | 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. | Iraqis join the insurgency. | E | {
"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,
100,
99.09,
100,
100
]
} |
1851-neg | And I' m, like, yeah, man. I' m just-I know what it is. | It is something | E | {
"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,
100,
100
]
} |
1852-neg | Speaker A: Yes.
Speaker B: Why?
Speaker A: I've known Anthony for a while, not close, but I didn't know who he was. | Anthony was a person | E | {
"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,
100,
100,
100
]
} |
1852 | Speaker A: Yes.
Speaker B: Why?
Speaker A: I've known Anthony for a while, not close, but I knew who he was. | Anthony was a person | E | {
"context1": "Yes.",
"context2": "Why?",
"target_sentence": "I've known Anthony for a while, not close, but I knew who he was.",
"speaker_context1": "SEAN-SPICER",
"speaker_context2": "PAULA-FARIS",
"speaker_target": "SEAN-SPICER",
"type": "original",
"adversarial": false,
"original_negated": false,
"trigger_data": "{'predicate': 'knew', 'embedded_question': 'who he was'}",
"trigger_type": "embedded_question",
"annotator": "AP",
"nli_labels": [
"E",
"E",
"N",
"E",
"E"
],
"ratings": [
100,
96.88,
93.84,
95.14,
100
]
} |
1854-neg | 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. | Something is known about substance use among adolescents | E | {
"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,
99.66,
100,
100,
100
]
} |
1854 | 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. | Something is known about substance use among adolescents | E | {
"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.",
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"speaker_context2": "",
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"E",
"E",
"E"
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"ratings": [
100,
88.52,
100,
99.95,
100
]
} |
1856-neg | 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. | I have come to know something | E | {
"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": "",
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"speaker_target": "",
"type": "negated",
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"trigger_type": "embedded_question",
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"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
100,
100
]
} |
1856 | 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. | I have come to know something | E | {
"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,
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"trigger_data": "{'predicate': 'know', 'embedded_question': 'what I have come to know'}",
"trigger_type": "embedded_question",
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"E",
"E",
"E",
"E"
],
"ratings": [
100,
96.02,
100,
99.28,
98.81
]
} |
1857 | 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. | There was a preferred model for the data | E | {
"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.",
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"E",
"E"
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"ratings": [
51.95,
47.3,
100,
99.22,
100
]
} |
1858-neg | " 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. | Their next head coach might be a person | E | {
"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": "",
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"type": "negated",
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"trigger_data": "{'predicate': 'figure', 'embedded_question': 'who their next head coach might be'}",
"trigger_type": "embedded_question",
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"nli_labels": [
"E",
"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
97.3,
99.46
]
} |
1858 | " 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. | Their next head coach might be a person | E | {
"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,
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"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,
99.28,
97.88,
100,
99.54
]
} |
1863-neg | Segovia didn't say she could not determine if Gould had gunpowder burns on his hands because his hands were covered with fingerprint ink. | Segovia couldn't determine if Gould had gunpowder burns on his hands | N | {
"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",
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"nli_labels": [
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"N",
"N",
"E",
"N"
],
"ratings": [
2.5,
80.72,
96.54,
100,
38.56
]
} |
1863 | Segovia said she could not determine if Gould had gunpowder burns on his hands because his hands were covered with fingerprint ink. | Segovia couldn't determine if Gould had gunpowder burns on his hands | E | {
"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,
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"nli_labels": [
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"E",
"E",
"E",
"E"
],
"ratings": [
100,
100,
100,
100,
100
]
} |
1864-neg | 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. | Maybe they wouldn't like the idea | E | {
"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": "",
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"E",
"E",
"E"
],
"ratings": [
99.25,
50.3,
100,
99.64,
100
]
} |
1864 | 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. | Maybe they wouldn't like the idea | E | {
"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": "",
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"E",
"E",
"N",
"E"
],
"ratings": [
100,
100,
100,
97.93,
98.69
]
} |
1865-neg | 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. | He knew Rada but didn't help get him his state job | N | {
"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": "",
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"type": "negated",
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"N",
"C",
"N",
"N"
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"ratings": [
84.61,
35.96,
1.01,
46.4,
29.26
]
} |
1865 | 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. | He knew Rada but didn't help get him his state job | E | {
"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",
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"trigger_data": "{'factive': 'said', 'embedded_clause': \"that he knew Rada but did n't help get him his state job\"}",
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"E",
"E",
"E",
"E"
],
"ratings": [
77.97,
100,
100,
88.33,
100
]
} |
1866-neg | 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. | He worked hard | E | {
"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,
98.5,
90.42
]
} |
1866 | 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. | He worked hard | E | {
"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,
93.76,
100,
100,
100
]
} |
1867-neg | The film may surprise people because it doesn't show some American soldiers doing shocking things. | Some American soldiers did shocking things | N | {
"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,
14.34
]
} |
1867 | The film may surprise people because it shows some American soldiers doing shocking things. | Some American soldiers did shocking things | E | {
"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,
100,
100,
100
]
} |
1869 | Speaker B: it's accurate and it's ready for him to act on.
Speaker A: All right, you just said that you were shocked and that expressed a lot of confidence in John Kelly. | You were shocked | E | {
"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,
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"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",
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"nli_labels": [
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"E",
"E",
"N",
"E"
],
"ratings": [
100,
94.54,
100,
4.04,
100
]
} |
1872-neg | Probably, yes. I mean, he was the most I don't think he was the most interesting. | He was the most interesting. | C | {
"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,
10.38,
0,
0,
99.73
]
} |
1872 | Probably, yes. I mean, he was the most I think he was the most interesting. | He was the most interesting. | E | {
"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'}",
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"E",
"E",
"N",
"E"
],
"ratings": [
100,
100,
100,
82.54,
98.29
]
} |
1873-neg | 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. | Things have gotten worse and worse and worse subjectively | E | {
"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,
99.79
]
} |
1873 | 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. | Things have gotten worse and worse and worse subjectively | N | {
"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,
14.03,
82.09
]
} |
1874-neg | 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. | The Democratic takeover of Congress and the continuing grim news from Iraq had rendered Mr. Bush nearly irrelevant. | E | {
"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,
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"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": [
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"N",
"E",
"E",
"N"
],
"ratings": [
100,
46.25,
99.88,
100,
34.68
]
} |
1874 | 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. | The Democratic takeover of Congress and the continuing grim news from Iraq had rendered Mr. Bush nearly irrelevant. | E | {
"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,
77.85,
100
]
} |
1875-neg | It wasn't expected that the effects of noise, distortion, and restricted frequency response on SRT would be minimal in a well-designed aid. | The effects of noise, distortion, and restricted frequency response on SRT would be minimal in a well-designed aid. | E | {
"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": "",
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"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,
100,
44.31,
100
]
} |
1875 | It was expected that the effects of noise, distortion, and restricted frequency response on SRT would be minimal in a well-designed aid. | The effects of noise, distortion, and restricted frequency response on SRT would be minimal in a well-designed aid. | N | {
"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"
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"ratings": [
61.15,
74.31,
89.53,
99.51,
100
]
} |
1876-neg | 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. | Visx saw its growth leveling off. | C | {
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1876 | 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. | Visx saw its growth leveling off. | E | {
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100,
100,
100
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1877-neg | 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 | I had no idea what she would do | E | {
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1877 | 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 | I had no idea what she would do | E | {
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99.16,
76.48,
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1878-neg | 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. | It had been far more than the right place at the right time | E | {
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99.37,
40.02,
100
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} |
1878 | 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. | It had been far more than the right place at the right time | E | {
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100,
100,
78.82,
100
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1879 | 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. | Some of the whale meat came from fin whales, humpbacks, and other protected species | E | {
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188-neg | Speaker B: They're going to have to pay their creditors $1 billion on June 1st. They don't have the money right now.
Speaker A: No, they don't have it yet, and we don't know where they'll get it | they will get the money. | N | {
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42.09,
39.29,
27.79
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188 | Speaker B: They're going to have to pay their creditors $1 billion on June 1st. They don't have the money right now.
Speaker A: No, they don't have it yet, but we know where they'll get it | they will get the money. | E | {
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1882-neg | 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. | Gaines paid Goss' funeral costs | N | {
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17.91,
47.75,
9.76,
51.05
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1882 | 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. | Gaines paid Goss' funeral costs | E | {
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"context2": "Norman, one of the nine fired, has refused to comment.",
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100,
100,
100,
100
]
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1884-neg | 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! | I had written a letter to Johnny Depp | E | {
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"context2": "I actually saw him hide once when he saw me come into the Media Center.",
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100,
95.33,
48.35,
99.81
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} |
1884 | 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! | I had written a letter to Johnny Depp | E | {
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100,
100,
100,
100
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} |
1885-neg | 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. | Trump is the rightful winner | C | {
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45.81,
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1885 | 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. | Trump is the rightful winner | N | {
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} |
1888-neg | 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. | Chiang's forces had executed more than 5.000 people. | N | {
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99.9,
50.45,
50.3
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1888 | 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. | Chiang's forces had executed more than 5.000 people. | E | {
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100,
100,
100
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1889-neg | 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. | Vaccinating children can protect the individual and contribute significantly to reducing the spread of disease to their families and communities. | N | {
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1889 | 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. | Vaccinating children can protect the individual and contribute significantly to reducing the spread of disease to their families and communities. | E | {
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189-neg | 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. | They were seen. | E | {
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99.88
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189 | 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. | They were seen. | N | {
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52.25,
99.49,
56.28,
100,
21.06
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1891-neg | 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. | The Medicaid expansion in the reform law could provide some reimbursement to insurance companies. | E | {
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1891 | 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. | The Medicaid expansion in the reform law could provide some reimbursement to insurance companies. | E | {
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100,
100,
100
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} |
1892-neg | 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. | The Ravens will stick for it | N | {
"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
]
} |
1892 | 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. | The Ravens will stick for it | N | {
"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
]
} |
1893 | b. Frankly, you don't have much of a chance. I tell you frankly that you don't have much of a chance. | You don't have much of a chance | E | {
"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,
81.98,
99.54,
100,
100
]
} |
1894-neg | 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. | We have to be very leery | N | {
"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,
5.88,
0,
4.99
]
} |
1894 | 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. | We have to be very leery | E | {
"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,
98.95,
93.17,
63.03
]
} |
1900 | 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. | The piece of carpet is quite rare | E | {
"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,
99.93,
100,
100,
100
]
} |
1903-neg | He didn't forget to add: the first time as tragedy, the second time as farce. | He was supposed to add the first time as tragedy, the second time as farce. | E | {
"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,
100,
88.98,
96.49,
5.06
]
} |
1903 | He forgot to add: the first time as tragedy, the second time as farce. | He was supposed to add the first time as tragedy, the second time as farce. | E | {
"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,
100,
100
]
} |
1904-neg | p191 "Amazing," I didn't manage to say. | It would take effort for me to say "amazing" | N | {
"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,
80.83,
61.58,
74.18,
97.93
]
} |
1904 | p191 "Amazing," I managed to say. | It would take effort for me to say "amazing" | N | {
"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,
36.39,
94.47,
6.16
]
} |
1905-neg | 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. | You were expected to avoid stepping on bugs | N | {
"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,
10.29
]
} |
1906-neg | 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 )
Speaker A: Chad didn't decline to take the stand in his own defense. | Chad was asked to take the stand in his own defense | E | {
"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,
97.93,
99.12,
96.49
]
} |
1906 | 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 )
Speaker A: Chad declined to take the stand in his own defense. | Chad was asked to take the stand in his own defense | E | {
"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": [
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"E",
"N",
"E",
"E"
],
"ratings": [
100,
98.65,
87.85,
100,
99.37
]
} |
1907-neg | 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. | Introducing all of the fruits of scientific research into chromatology into the large, classically structured work would take effort for Seurat. | E | {
"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
]
} |
1907 | In "La Grande Jatte," Seurat managed to introduce into the large, classically structured work all of the fruits of his scientific research into chromatology. | Introducing all of the fruits of scientific research into chromatology into the large, classically structured work would take effort for Seurat. | N | {
"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
]
} |
1908-neg | 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. | Staying grounded in a crazy Hollywood world would take effort for Patrick Swayze | E | {
"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,
95.14,
93.91,
100,
78.09
]
} |
1908 | 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. | Staying grounded in a crazy Hollywood world would take effort for Patrick Swayze | E | {
"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
]
} |
1910-neg | 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. | God will make an attempt to purify us | N | {
"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,
100,
88.04,
94.47,
9.24
]
} |
1910 | 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. | God will make an attempt to purify us | N | {
"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
]
} |
1911-neg | 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. | Grasping all elements of the game would take effort for him. | N | {
"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
]
} |
1911 | 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. | Grasping all elements of the game would take effort for him. | N | {
"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
]
} |
1913-neg | 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. | Scientists are expected to work with female animals | E | {
"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,
100,
99.85,
100,
62.02
]
} |
1913 | Frequently, scientists will avoid working with female animals because their estrus cycles can change body chemistry, and such variance adds expenses to the experiment. | Scientists are expected to work with female animals | C | {
"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,
56.58,
0,
0.84,
0.43
]
} |
1914-neg | 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. | It was unexpected that she spread a lot of rumors about me. | N | {
"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,
2.21,
92.4,
75.98
]
} |
1914 | 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. | It was unexpected that she spread a lot of rumors about me. | N | {
"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
]
} |
1916-neg | 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. | I was asked to reveal specific wages | C | {
"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,
4.29,
99.77,
0.75
]
} |
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