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216e301179a3f89964acfa6791685053a4c996b3
|
# Dataset Card for "mmlu-machine_learning-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-machine_learning-original-neg
|
[
"region:us"
] |
2023-05-08T04:24:28+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 8467.0, "num_examples": 28}], "download_size": 7546, "dataset_size": 8467.0}}
|
2023-05-08T04:24:32+00:00
|
ef58cbaebe27866107e1b307fa4314be853c07b7
|
# Dataset Card for "mmlu-management-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-management-original-neg
|
[
"region:us"
] |
2023-05-08T04:24:34+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 4851.941747572816, "num_examples": 25}], "download_size": 5783, "dataset_size": 4851.941747572816}}
|
2023-05-08T04:24:38+00:00
|
63f7aa6d947ccb0793a45f985d2907120bf8094e
|
# Dataset Card for "mmlu-marketing-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-marketing-original-neg
|
[
"region:us"
] |
2023-05-08T04:24:41+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 10771.452991452992, "num_examples": 40}], "download_size": 9525, "dataset_size": 10771.452991452992}}
|
2023-05-08T04:24:45+00:00
|
a56aa904f44bb570b550db4cba474232ccffe48f
|
# Dataset Card for "mmlu-medical_genetics-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-medical_genetics-original-neg
|
[
"region:us"
] |
2023-05-08T04:24:48+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 2502.24, "num_examples": 12}], "download_size": 4137, "dataset_size": 2502.24}}
|
2023-05-08T04:24:51+00:00
|
6605d7af28b3ecda7f684689c55410bdf7061e95
|
# Dataset Card for "mmlu-miscellaneous-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-miscellaneous-original-neg
|
[
"region:us"
] |
2023-05-08T04:24:57+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 16032.975734355045, "num_examples": 85}], "download_size": 15582, "dataset_size": 16032.975734355045}}
|
2023-05-08T04:25:00+00:00
|
bdcd35ce5ef05e7265303c8e80fff913e2517232
|
# Dataset Card for "mmlu-moral_disputes-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-moral_disputes-original-neg
|
[
"region:us"
] |
2023-05-08T04:25:04+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 16513.63583815029, "num_examples": 53}], "download_size": 14796, "dataset_size": 16513.63583815029}}
|
2023-05-08T04:25:08+00:00
|
feffa73ce801dcdd601e30ada83b371d36f02804
|
# Dataset Card for "mmlu-moral_scenarios-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-moral_scenarios-original-neg
|
[
"region:us"
] |
2023-05-08T04:25:18+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 51818.69944134078, "num_examples": 124}], "download_size": 16967, "dataset_size": 51818.69944134078}}
|
2023-05-08T04:25:22+00:00
|
7df8e217d17ddee8c160b91e304ce48f645b90b6
|
# Dataset Card for "mmlu-nutrition-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-nutrition-original-neg
|
[
"region:us"
] |
2023-05-08T04:25:26+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 9964.490196078432, "num_examples": 33}], "download_size": 8850, "dataset_size": 9964.490196078432}}
|
2023-05-08T04:25:29+00:00
|
c671da836b54eb64050ba27321f974ffb5c3f0b7
|
# Dataset Card for "mmlu-philosophy-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-philosophy-original-neg
|
[
"region:us"
] |
2023-05-08T04:25:33+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 11326.958199356914, "num_examples": 44}], "download_size": 14783, "dataset_size": 11326.958199356914}}
|
2023-05-08T04:25:36+00:00
|
c72b384e2712a5159c7a5c35195b2fa399aff5d5
|
# Dataset Card for "mmlu-prehistory-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-prehistory-original-neg
|
[
"region:us"
] |
2023-05-08T04:25:40+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 5529.753086419753, "num_examples": 20}], "download_size": 6713, "dataset_size": 5529.753086419753}}
|
2023-05-08T04:25:43+00:00
|
7dd6175dd2d39ea055b5cd630f9051576a15c141
|
# Dataset Card for "mmlu-professional_accounting-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-professional_accounting-original-neg
|
[
"region:us"
] |
2023-05-08T04:25:53+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 30472.063829787236, "num_examples": 69}], "download_size": 22788, "dataset_size": 30472.063829787236}}
|
2023-05-08T04:25:56+00:00
|
82195212f4ba0c789b4a21b8c8a71cef0ce7aacb
|
# Dataset Card for "mmlu-professional_law-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-professional_law-original-neg
|
[
"region:us"
] |
2023-05-08T04:26:25+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 1331870.9256844851, "num_examples": 1080}], "download_size": 775248, "dataset_size": 1331870.9256844851}}
|
2023-05-08T04:26:30+00:00
|
814abf05df6f2666881b02e762b39054d51cd999
|
# Dataset Card for "mmlu-professional_medicine-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-professional_medicine-original-neg
|
[
"region:us"
] |
2023-05-08T04:26:36+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 146365.6875, "num_examples": 183}], "download_size": 93624, "dataset_size": 146365.6875}}
|
2023-05-08T04:26:41+00:00
|
2a8fc7d3037646ac87cbd11cb0ed16a10efa6ca9
|
# Dataset Card for "mmlu-professional_psychology-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-professional_psychology-original-neg
|
[
"region:us"
] |
2023-05-08T04:26:47+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 33956.86928104575, "num_examples": 92}], "download_size": 30960, "dataset_size": 33956.86928104575}}
|
2023-05-08T04:26:51+00:00
|
badc0d5cc6e098839bf5dc8d1dab449592f79ba1
|
# Dataset Card for "mmlu-public_relations-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-public_relations-original-neg
|
[
"region:us"
] |
2023-05-08T04:26:53+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 4442.872727272727, "num_examples": 17}], "download_size": 7745, "dataset_size": 4442.872727272727}}
|
2023-05-08T04:26:57+00:00
|
5452e1a5bead28007502b322fd08c83413c2dd33
|
# Dataset Card for "mmlu-security_studies-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-security_studies-original-neg
|
[
"region:us"
] |
2023-05-08T04:27:01+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 30097.763265306123, "num_examples": 36}], "download_size": 14397, "dataset_size": 30097.763265306123}}
|
2023-05-08T04:27:04+00:00
|
55ab8cf7fcf478b5cfbcae97bc9a574b15289797
|
# Dataset Card for "mmlu-sociology-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-sociology-original-neg
|
[
"region:us"
] |
2023-05-08T04:27:07+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 6919.6567164179105, "num_examples": 21}], "download_size": 7565, "dataset_size": 6919.6567164179105}}
|
2023-05-08T04:27:10+00:00
|
64781624e2ab067e9daa78654604af461eda9bbf
|
# Dataset Card for "mmlu-us_foreign_policy-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-us_foreign_policy-original-neg
|
[
"region:us"
] |
2023-05-08T04:27:13+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 1421.55, "num_examples": 5}], "download_size": 3617, "dataset_size": 1421.55}}
|
2023-05-08T04:27:17+00:00
|
35d9b13480e8480f4cbba6d2355d5a11794ecf4e
|
# Dataset Card for "mmlu-virology-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-virology-original-neg
|
[
"region:us"
] |
2023-05-08T04:27:20+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 3968.0662650602408, "num_examples": 17}], "download_size": 7724, "dataset_size": 3968.0662650602408}}
|
2023-05-08T04:27:23+00:00
|
f74732bef2d98cd439ba63fb46bca449165e30e2
|
# Dataset Card for "mmlu-world_religions-original-neg"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-world_religions-original-neg
|
[
"region:us"
] |
2023-05-08T04:27:27+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 443.1929824561403, "num_examples": 3}], "download_size": 2729, "dataset_size": 443.1929824561403}}
|
2023-05-08T04:27:30+00:00
|
f92681f33da2787f7bce1ef4b585921e69a00d7a
|
# Dataset Card for "mmlu-abstract_algebra-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-abstract_algebra-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:34:37+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 2949, "num_examples": 7}], "download_size": 5157, "dataset_size": 2949}}
|
2023-05-09T02:42:41+00:00
|
21c6821699c3504e424a4ad73edf10f6c24f9d0b
|
# Dataset Card for "mmlu-anatomy-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-anatomy-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:34:48+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 2413, "num_examples": 6}], "download_size": 6038, "dataset_size": 2413}}
|
2023-05-09T02:42:50+00:00
|
6a4797ef16984e83d8b6e6e59cb53350a3a54ee5
|
# Dataset Card for "mmlu-astronomy-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-astronomy-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:34:59+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 12224, "num_examples": 25}], "download_size": 11919, "dataset_size": 12224}}
|
2023-05-09T02:43:00+00:00
|
a21afb3a3b094984f22e35a085657362f313d123
|
# Dataset Card for "mmlu-business_ethics-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-business_ethics-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:35:11+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 6753, "num_examples": 12}], "download_size": 10463, "dataset_size": 6753}}
|
2023-05-09T02:43:09+00:00
|
db0cb0c3dabc63c78f40802dd62d1af8356b6616
|
# Dataset Card for "mmlu-clinical_knowledge-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-clinical_knowledge-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:35:23+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 7794, "num_examples": 24}], "download_size": 9195, "dataset_size": 7794}}
|
2023-05-09T02:43:18+00:00
|
70e76f13fcabeaf01cfb3d5040860005cdb7164e
|
# Dataset Card for "mmlu-college_biology-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-college_biology-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:35:34+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 12962, "num_examples": 27}], "download_size": 12395, "dataset_size": 12962}}
|
2023-05-09T02:43:27+00:00
|
c61534611e67909ee8784beb187b3b7e6fd6c7e2
|
# Dataset Card for "mmlu-college_chemistry-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-college_chemistry-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:35:47+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 3641, "num_examples": 9}], "download_size": 7082, "dataset_size": 3641}}
|
2023-05-09T02:43:36+00:00
|
fc0854d8ef05d96a4dbaa92c855fe5f6c7f0b44d
|
# Dataset Card for "mmlu-college_computer_science-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-college_computer_science-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:35:57+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 25638, "num_examples": 30}], "download_size": 20298, "dataset_size": 25638}}
|
2023-05-09T02:43:45+00:00
|
c5cad4dbe6764064007929dc731218295cb598c7
|
# Dataset Card for "mmlu-college_mathematics-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-college_mathematics-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:36:09+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 7742, "num_examples": 15}], "download_size": 9421, "dataset_size": 7742}}
|
2023-05-09T02:43:54+00:00
|
09826f2a847c0c0c1c948684781c1669afdcf14e
|
# Dataset Card for "mmlu-college_medicine-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-college_medicine-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:36:20+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 72161, "num_examples": 33}], "download_size": 30827, "dataset_size": 72161}}
|
2023-05-09T02:44:04+00:00
|
a8ab469608ce3578988a7ef6f06d192356ab52d9
|
# Dataset Card for "mmlu-college_physics-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-college_physics-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:36:31+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 8640, "num_examples": 15}], "download_size": 10053, "dataset_size": 8640}}
|
2023-05-09T02:44:13+00:00
|
e7fb07865a9b88e4a8c9c60a1df2a9b0f510178e
|
# Dataset Card for "mmlu-computer_security-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-computer_security-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:36:42+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 10384, "num_examples": 17}], "download_size": 9420, "dataset_size": 10384}}
|
2023-05-09T02:44:22+00:00
|
b7fe931f261905e33d72b60c4eb8bdf470a28d0e
|
# Dataset Card for "mmlu-conceptual_physics-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-conceptual_physics-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:36:53+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 5387, "num_examples": 15}], "download_size": 7774, "dataset_size": 5387}}
|
2023-05-09T02:44:31+00:00
|
7fed4d37d2700c3eb1f1ca445f5ef3b64df70458
|
# Dataset Card for "mmlu-econometrics-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-econometrics-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:37:04+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 20344, "num_examples": 24}], "download_size": 12954, "dataset_size": 20344}}
|
2023-05-09T02:44:40+00:00
|
d67574eb9c0466d050873cb3576a2067dafa95a9
|
# Dataset Card for "mmlu-electrical_engineering-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-electrical_engineering-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:37:17+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 1451, "num_examples": 5}], "download_size": 4662, "dataset_size": 1451}}
|
2023-05-09T02:44:49+00:00
|
79999457c639861b8658f5f3b3ff70378ccee3d8
|
# Dataset Card for "mmlu-elementary_mathematics-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-elementary_mathematics-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:37:28+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 5179, "num_examples": 14}], "download_size": 7035, "dataset_size": 5179}}
|
2023-05-09T02:44:58+00:00
|
3458b5b1e5aaaa2e4bc5806b4abc3119058d045f
|
# Dataset Card for "mmlu-formal_logic-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-formal_logic-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:37:39+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 21402, "num_examples": 31}], "download_size": 14834, "dataset_size": 21402}}
|
2023-05-09T02:45:07+00:00
|
c142e7fb8363ad80a08e435e5108d5d0e1f4a326
|
# Dataset Card for "mmlu-global_facts-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-global_facts-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:37:52+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 3795, "num_examples": 9}], "download_size": 6835, "dataset_size": 3795}}
|
2023-05-09T02:45:16+00:00
|
ab7ebb77336f88fb432c3dbb08027f6afddfcb4a
|
# Dataset Card for "mmlu-high_school_biology-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-high_school_biology-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:38:04+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 42393, "num_examples": 69}], "download_size": 29000, "dataset_size": 42393}}
|
2023-05-09T02:45:26+00:00
|
b50e3faf8b3f4b39f38620c35fbe7b0f11206de7
|
# Dataset Card for "mmlu-high_school_chemistry-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-high_school_chemistry-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:38:16+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 10181, "num_examples": 20}], "download_size": 10499, "dataset_size": 10181}}
|
2023-05-09T02:45:35+00:00
|
768da3356822478019f4b5a2adf93f4b30e41540
|
# Dataset Card for "mmlu-high_school_computer_science-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-high_school_computer_science-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:38:27+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 18739, "num_examples": 15}], "download_size": 21620, "dataset_size": 18739}}
|
2023-05-09T02:45:45+00:00
|
eb48427b02aeb771358d971dfac155aaf0d8d583
|
# Dataset Card for "mmlu-high_school_european_history-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-high_school_european_history-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:38:40+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 468329, "num_examples": 140}], "download_size": 250111, "dataset_size": 468329}}
|
2023-05-09T02:45:55+00:00
|
6b1b46a933dd54f7ddb913df95409df57e724d88
|
# Dataset Card for "mmlu-high_school_geography-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-high_school_geography-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:38:53+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 17823, "num_examples": 47}], "download_size": 14591, "dataset_size": 17823}}
|
2023-05-09T02:46:04+00:00
|
d5ff04e75d772474a1f6e73db45e1f80cc5dec78
|
# Dataset Card for "mmlu-high_school_government_and_politics-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-high_school_government_and_politics-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:39:04+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 18155, "num_examples": 35}], "download_size": 15896, "dataset_size": 18155}}
|
2023-05-09T02:46:14+00:00
|
ed09b8c912ac7ee69794fb65413b062a8400f317
|
# Dataset Card for "mmlu-high_school_macroeconomics-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-high_school_macroeconomics-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:39:15+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 14807, "num_examples": 34}], "download_size": 12519, "dataset_size": 14807}}
|
2023-05-09T02:46:23+00:00
|
1e8173a712eaf59be72086b4007b59fbcca0161a
|
# Dataset Card for "mmlu-high_school_mathematics-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-high_school_mathematics-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:39:26+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 15849, "num_examples": 29}], "download_size": 15984, "dataset_size": 15849}}
|
2023-05-09T02:46:32+00:00
|
f014345569112da7ec8ea28944d88d9a7ef84ddb
|
# Dataset Card for "mmlu-high_school_microeconomics-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-high_school_microeconomics-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:39:39+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 16833, "num_examples": 33}], "download_size": 13907, "dataset_size": 16833}}
|
2023-05-09T02:46:41+00:00
|
04ac56c15b9f5ea3678c822a4e430d2580310692
|
Nyaa97/art_sr_vc1_test
|
[
"license:cc-by-sa-4.0",
"region:us"
] |
2023-05-08T04:39:44+00:00
|
{"license": "cc-by-sa-4.0", "dataset_info": {"features": [{"name": "id1", "dtype": "string"}, {"name": "path1", "dtype": "string"}, {"name": "audio1", "dtype": "audio"}, {"name": "id2", "dtype": "string"}, {"name": "path2", "dtype": "string"}, {"name": "audio2", "dtype": "audio"}, {"name": "same_speaker", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 17394964513.28, "num_examples": 37611}], "download_size": 4146347060, "dataset_size": 17394964513.28}}
|
2023-05-08T12:03:08+00:00
|
|
5af7caec02d18cdb6eb8783ba2d92781e3cdb74a
|
# Dataset Card for "mmlu-high_school_physics-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-high_school_physics-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:39:51+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 23115, "num_examples": 29}], "download_size": 17146, "dataset_size": 23115}}
|
2023-05-09T02:47:06+00:00
|
64aae80b328b01706b996adae108a0c05511477f
|
# Dataset Card for "mmlu-high_school_psychology-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-high_school_psychology-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:40:03+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 49445, "num_examples": 79}], "download_size": 39955, "dataset_size": 49445}}
|
2023-05-09T02:47:17+00:00
|
bcf7dbf56d57a0eb4458e0b90fbed712cd087598
|
# Dataset Card for "mmlu-high_school_statistics-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-high_school_statistics-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:40:14+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 50072, "num_examples": 49}], "download_size": 32842, "dataset_size": 50072}}
|
2023-05-09T02:47:26+00:00
|
c05d3c3abdf7b00d267c95fc0d2870e9fdbf918d
|
# Dataset Card for "mmlu-high_school_us_history-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-high_school_us_history-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:40:27+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 511394, "num_examples": 180}], "download_size": 260063, "dataset_size": 511394}}
|
2023-05-09T02:47:37+00:00
|
a6def37f710292af64a7cf4d611e60eaee48237e
|
# Dataset Card for "mmlu-high_school_world_history-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-high_school_world_history-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:40:40+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 643605, "num_examples": 205}], "download_size": 337981, "dataset_size": 643605}}
|
2023-05-09T02:47:48+00:00
|
df66e2f76aae45af953433b7afc51df47618619c
|
# Dataset Card for "mmlu-human_aging-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-human_aging-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:40:52+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 10125, "num_examples": 31}], "download_size": 10462, "dataset_size": 10125}}
|
2023-05-09T02:47:57+00:00
|
2912ac67eb5b4599f28fefe4edc34c7a588d2a1e
|
# Dataset Card for "mmlu-human_sexuality-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-human_sexuality-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:41:03+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 7357, "num_examples": 13}], "download_size": 10425, "dataset_size": 7357}}
|
2023-05-09T02:48:09+00:00
|
b0a7b5ecdd3132cc14b1462304abf82a52f876ad
|
# Dataset Card for "mmlu-international_law-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-international_law-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:41:15+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 3127, "num_examples": 5}], "download_size": 6632, "dataset_size": 3127}}
|
2023-05-09T02:48:20+00:00
|
b2fc585fc6130b8189e8a908f9b9e60a090c1add
|
# Dataset Card for "mmlu-jurisprudence-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-jurisprudence-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:41:27+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 4725, "num_examples": 7}], "download_size": 9203, "dataset_size": 4725}}
|
2023-05-09T02:48:29+00:00
|
adba80c4bea507c4e450e04695bbc34f89404b34
|
# Dataset Card for "mmlu-logical_fallacies-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-logical_fallacies-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:41:37+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 17815, "num_examples": 35}], "download_size": 14481, "dataset_size": 17815}}
|
2023-05-09T02:48:39+00:00
|
1ae3f975f652a6602e00fdfa99b981f0c89c39da
|
# Dataset Card for "mmlu-machine_learning-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-machine_learning-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:41:48+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 18569, "num_examples": 28}], "download_size": 11433, "dataset_size": 18569}}
|
2023-05-09T02:48:49+00:00
|
16417aed7f5070b17d426197addcefcd957a1e37
|
# Dataset Card for "mmlu-management-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-management-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:41:59+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 7492, "num_examples": 25}], "download_size": 8550, "dataset_size": 7492}}
|
2023-05-09T02:48:58+00:00
|
d3edbe85180c35e2e2106460402724962110be80
|
# Dataset Card for "mmlu-marketing-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-marketing-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:42:11+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 18898, "num_examples": 40}], "download_size": 15795, "dataset_size": 18898}}
|
2023-05-09T02:49:08+00:00
|
8f3ff3ed28a8b48abe5589d62527188e6368ca7d
|
# Dataset Card for "mmlu-medical_genetics-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-medical_genetics-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:42:23+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 3626, "num_examples": 12}], "download_size": 6241, "dataset_size": 3626}}
|
2023-05-09T02:49:17+00:00
|
d9cf3db7a0dfd8ccd4e266e8e0ee0ba79d95322e
|
# Dataset Card for "mmlu-miscellaneous-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-miscellaneous-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:42:38+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 33535, "num_examples": 85}], "download_size": 25432, "dataset_size": 33535}}
|
2023-05-09T02:49:28+00:00
|
4e1b31796861c7b5d4e5711914e05c35f20b1cf7
|
# Dataset Card for "mmlu-moral_disputes-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-moral_disputes-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:42:50+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 29708, "num_examples": 53}], "download_size": 22744, "dataset_size": 29708}}
|
2023-05-09T02:49:38+00:00
|
24c501db8bf92dae86bda764b1599444f9bdf3b2
|
# Dataset Card for "mmlu-moral_scenarios-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-moral_scenarios-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:43:05+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 104255, "num_examples": 124}], "download_size": 20178, "dataset_size": 104255}}
|
2023-05-09T02:49:50+00:00
|
43bcdf11a8d006edad83bc19076b7c2e3cb6de21
|
# Dataset Card for "mmlu-nutrition-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-nutrition-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:43:19+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 13402, "num_examples": 33}], "download_size": 13862, "dataset_size": 13402}}
|
2023-05-09T02:49:59+00:00
|
22049c35f00fb980759cb940757356c2c9a4ce3d
|
# Dataset Card for "mmlu-philosophy-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-philosophy-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:43:35+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 28918, "num_examples": 44}], "download_size": 22058, "dataset_size": 28918}}
|
2023-05-09T02:50:09+00:00
|
b8e23e22d77e2c7dd080b9ad329cf8f182de8d36
|
# Dataset Card for "mmlu-prehistory-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-prehistory-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:43:46+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 8842, "num_examples": 20}], "download_size": 9986, "dataset_size": 8842}}
|
2023-05-09T02:50:19+00:00
|
60762dbd1ccd078ae324d50bfa0da830f14b5b1d
|
# Dataset Card for "mmlu-professional_accounting-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-professional_accounting-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:43:57+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 58358, "num_examples": 69}], "download_size": 38996, "dataset_size": 58358}}
|
2023-05-09T02:50:29+00:00
|
3c3a58977f7f95d5657dc1b5505ef8ac80a645ff
|
# Dataset Card for "mmlu-professional_law-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-professional_law-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:44:55+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 2525751, "num_examples": 1080}], "download_size": 1389567, "dataset_size": 2525751}}
|
2023-05-09T02:51:25+00:00
|
7383db7e32cde0d9fa9cb547c44ffd1aa4c97e64
|
# Dataset Card for "mmlu-professional_medicine-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-professional_medicine-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:45:10+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 302431, "num_examples": 183}], "download_size": 174024, "dataset_size": 302431}}
|
2023-05-09T02:51:37+00:00
|
d9a3d84fdf443d92ac8a3ab21d1e51cbbf38cde6
|
# Dataset Card for "mmlu-professional_psychology-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-professional_psychology-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:45:24+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 71365, "num_examples": 92}], "download_size": 50371, "dataset_size": 71365}}
|
2023-05-09T02:51:47+00:00
|
94a8858f2c9cc0856b9a9f9c00c7099e22260ddd
|
# Dataset Card for "mmlu-public_relations-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-public_relations-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:45:35+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 9150, "num_examples": 17}], "download_size": 13091, "dataset_size": 9150}}
|
2023-05-09T02:51:57+00:00
|
38854c58ab0ac7a86f9a23a549ef51347d28123e
|
# Dataset Card for "mmlu-security_studies-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-security_studies-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:45:47+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 26303, "num_examples": 36}], "download_size": 20426, "dataset_size": 26303}}
|
2023-05-09T02:52:06+00:00
|
becc761bfa29b88953a38ee7a4fd1123107f00e1
|
# Dataset Card for "mmlu-sociology-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-sociology-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:45:58+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 10581, "num_examples": 21}], "download_size": 11432, "dataset_size": 10581}}
|
2023-05-09T02:52:15+00:00
|
119e05b13649e17ead7de56878c78ae228b4629f
|
# Dataset Card for "mmlu-us_foreign_policy-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-us_foreign_policy-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:46:09+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 1756, "num_examples": 5}], "download_size": 5333, "dataset_size": 1756}}
|
2023-05-09T02:52:24+00:00
|
01ea2af603e9ed204af934057947f090dc55cb3d
|
# Dataset Card for "mmlu-virology-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-virology-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:46:22+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 8834, "num_examples": 17}], "download_size": 12945, "dataset_size": 8834}}
|
2023-05-09T02:52:33+00:00
|
4a78bd25e1c84c5ac22c6a2ed4086ff3b00f3bbb
|
# Dataset Card for "mmlu-world_religions-original-neg-prepend"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
joey234/mmlu-world_religions-original-neg-prepend
|
[
"region:us"
] |
2023-05-08T04:46:33+00:00
|
{"dataset_info": {"features": [{"name": "question", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}, {"name": "neg_prompt", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 805, "num_examples": 3}], "download_size": 4067, "dataset_size": 805}}
|
2023-05-09T02:52:42+00:00
|
87f94e9d1e65f80c0f0d70baccb215eaae417b38
|
# Dataset Card for "GCRL-dtf"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
0x7o/GCRL-dtf
|
[
"region:us"
] |
2023-05-08T05:16:48+00:00
|
{"dataset_info": {"features": [{"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "likes", "dtype": "int64"}, {"name": "time_published", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 631681083, "num_examples": 172937}], "download_size": 328698357, "dataset_size": 631681083}}
|
2023-05-08T05:20:31+00:00
|
4ae33d2c991e823cc2187c4c8ecf4021ad8388b5
|
# Dataset Card for "GCRL-q"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
0x7o/GCRL-q
|
[
"region:us"
] |
2023-05-08T05:52:15+00:00
|
{"dataset_info": {"features": [{"name": "type", "dtype": "string"}, {"name": "theme", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "quality", "dtype": "float64"}, {"name": "id", "dtype": "string"}, {"name": "answer", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 6519238, "num_examples": 3975}], "download_size": 3383601, "dataset_size": 6519238}}
|
2023-05-08T05:52:22+00:00
|
a63a6eeb7104f6d746e9e9dec0c387576a4fc4a2
|
intanm/indonesian_financial_statements
|
[
"license:apache-2.0",
"region:us"
] |
2023-05-08T06:19:07+00:00
|
{"license": "apache-2.0"}
|
2023-05-08T06:19:41+00:00
|
|
1fffa390f8fbf6a61100be4ad0a58630cdc72097
|
# Dataset Card for "audio-class"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
Litalp/audio-class
|
[
"region:us"
] |
2023-05-08T06:53:28+00:00
|
{"dataset_info": {"features": [{"name": "audio", "dtype": "audio"}, {"name": "label", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 249884107.148, "num_examples": 1628}], "download_size": 249501839, "dataset_size": 249884107.148}}
|
2023-05-08T07:33:04+00:00
|
79bd1ff1d852a1f261e265673a86389407a907c3
|
elpsy531/files
|
[
"task_categories:text-classification",
"license:apache-2.0",
"region:us"
] |
2023-05-08T06:54:32+00:00
|
{"license": "apache-2.0", "task_categories": ["text-classification"]}
|
2023-05-08T07:24:29+00:00
|
|
2cdbbb0ac66ac3bfaf1420a590e3ed7192e0d1aa
|
# Dataset Card for "big5_essays_ru"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
CVCODE/big5_essays_ru
|
[
"region:us"
] |
2023-05-08T07:18:09+00:00
|
{"dataset_info": {"features": [{"name": "#AUTHID", "dtype": "string"}, {"name": "TEXT", "dtype": "string"}, {"name": "extroversion", "dtype": "int64"}, {"name": "neuroticism", "dtype": "int64"}, {"name": "agreeableness", "dtype": "int64"}, {"name": "conscientiousness", "dtype": "int64"}, {"name": "openness", "dtype": "int64"}, {"name": "TEXT_RU", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 21522844, "num_examples": 2467}], "download_size": 11117157, "dataset_size": 21522844}}
|
2023-05-08T07:18:28+00:00
|
5775cf89cf5bda828204393364d95ecddbef80c2
|
# Dataset Card for "chart_data_y"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
aravind-selvam/chart_data_y
|
[
"region:us"
] |
2023-05-08T07:20:53+00:00
|
{"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 52790132.0, "num_examples": 4000}, {"name": "validation", "num_bytes": 13198764.0, "num_examples": 1000}], "download_size": 63225345, "dataset_size": 65988896.0}}
|
2023-05-08T07:21:11+00:00
|
47ad8022d369233bea2f4a8112268f9a9a039a43
|
The ChID dataset. [GitHub repo](https://github.com/chujiezheng/ChID-Dataset). [Original paper](https://arxiv.org/abs/1906.01265).
```bib
@inproceedings{zheng-etal-2019-chid,
title = "{C}h{ID}: A Large-scale {C}hinese {ID}iom Dataset for Cloze Test",
author = "Zheng, Chujie and
Huang, Minlie and
Sun, Aixin",
booktitle = "ACL",
year = "2019"
}
```
|
thu-coai/chid
|
[
"language:zh",
"license:apache-2.0",
"arxiv:1906.01265",
"region:us"
] |
2023-05-08T07:21:01+00:00
|
{"language": ["zh"], "license": "apache-2.0"}
|
2023-05-08T08:11:55+00:00
|
460c94a39c1498241b3c7e94a22be25e1489601e
|
The KDConv dataset. [GitHub repo](https://github.com/thu-coai/KdConv). [Original paper](https://arxiv.org/abs/2004.04100).
```bib
@inproceedings{zhou-etal-2020-kdconv,
title = "{K}d{C}onv: A {C}hinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation",
author = "Zhou, Hao and
Zheng, Chujie and
Huang, Kaili and
Huang, Minlie and
Zhu, Xiaoyan",
booktitle = "ACL",
year = "2020"
}
```
|
thu-coai/kdconv
|
[
"language:zh",
"license:apache-2.0",
"arxiv:2004.04100",
"region:us"
] |
2023-05-08T07:25:16+00:00
|
{"language": ["zh"], "license": "apache-2.0"}
|
2023-05-08T09:39:46+00:00
|
6d4e3965e53107d81a937b0de066075944d440ef
|
# Cite
```
@inproceedings{tan-2023-shot,
title = "Few-shot {S}panish-{A}ymara Machine Translation Using {E}nglish-{A}ymara Lexicon",
author = "Gillin, Nat and
Gummibaerhausen, Brian",
editor = "Mager, Manuel and
Ebrahimi, Abteen and
Oncevay, Arturo and
Rice, Enora and
Rijhwani, Shruti and
Palmer, Alexis and
Kann, Katharina",
booktitle = "Proceedings of the Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP)",
month = jul,
year = "2023",
address = "Toronto, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.americasnlp-1.18",
doi = "10.18653/v1/2023.americasnlp-1.18",
pages = "168--172",
abstract = "This paper presents the experiments to train a Spanish-Aymara machine translation model for the AmericasNLP 2023 Machine Translation shared task. We included the English-Aymara GlobalVoices corpus and an English-Aymara lexicon to train the model and limit our training resources to train the model in a {\textbackslash}textit{few-shot} manner.",
}
```
|
alvations/aymara-english
|
[
"language:ay",
"language:en",
"license:cc-by-4.0",
"region:us"
] |
2023-05-08T07:31:11+00:00
|
{"language": ["ay", "en"], "license": "cc-by-4.0"}
|
2024-01-31T03:33:08+00:00
|
4956159dbbbd32b9884e0bf699c5ed08639fbff2
|
# Dataset Card for Dataset Name
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages
[More Information Needed]
## Dataset Structure
### Data Instances
[More Information Needed]
### Data Fields
[More Information Needed]
### Data Splits
[More Information Needed]
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
[More Information Needed]
### Citation Information
[More Information Needed]
### Contributions
[More Information Needed]
|
Samhita/whisper-jax-examples
|
[
"region:us"
] |
2023-05-08T07:34:39+00:00
|
{}
|
2023-05-12T13:00:03+00:00
|
578001340d4174c65c26f5bcd1532fb9e7f9db43
|
# Dataset Card for "dataset-classifcation-tv"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
batelidan/dataset-classifcation-tv
|
[
"region:us"
] |
2023-05-08T07:43:18+00:00
|
{"dataset_info": {"features": [{"name": "/content/drive/MyDrive/Wave/20220810-194349-3reality-00E93AAC59A5.wav", "dtype": "string"}, {"name": "TV", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 128533, "num_examples": 1627}], "download_size": 23156, "dataset_size": 128533}}
|
2023-05-08T07:47:47+00:00
|
1e27ee731703579197388bea4f592ebfbc2de19b
|
# Dataset Card for turkish-nlp-suite/beyazperde-top-300-movie-reviews
<img src="https://raw.githubusercontent.com/turkish-nlp-suite/.github/main/profile/beyazPerde.png" width="20%" height="20%">
## Dataset Description
- **Repository:** [BeyazPerde Top 300 Movie Reviews](https://github.com/turkish-nlp-suite/BeyazPerde-Movie-Reviews/)
- **Paper:** [ACL link](https://aclanthology.org/2023.acl-long.768/)
- **Dataset:** BeyazPerde Top 300 Movie Reviews
- **Domain:** Social Media
### Dataset Summary
Beyazperde Movie Reviews offers Turkish sentiment analysis datasets that is scraped from popular movie reviews website Beyazperde.com. Top 300 Movies include audience reviews about best 300 movies of all the time. Here's the star rating distribution:
| star rating | count |
|---|---|
| 0.5 | 1.657 |
| 1.0 | 535 |
| 1.5 | 273 |
| 2.0 | 608 |
| 2.5 | 2.439 |
| 3.0 |2.277 |
| 3.5 | 5.550 |
| 4.0 | 13.248 |
| 4.5 | 10.077 |
| 5.0 | 17.351 |
| total | 54.015 |
As one sees, this dataset is highly unbalanced, number of 4 and 5 star ratings are much higher than 0, 1, 2 and 3 star reviews. This dataset offers the challenge of understanding the sentiment in a refined way, dissecting the positive sentiment into "very positive" or "okayish positive".
### Dataset Instances
An instance of this dataset looks as follows:
```
{
"movie": "Bay Evet",
"text": "Tam kıvamında çok keyifli bir film",
"rating": 4
}
```
### Data Split
| name |train|validation|test|
|---------|----:|---:|---:|
|BeyazPerde Top 300 Movie Reviews|44015|5000|5000|
### Citation
This work is supported by Google Developer Experts Program. Part of Duygu 2022 Fall-Winter collection, "Turkish NLP with Duygu"/ "Duygu'yla Türkçe NLP". All rights reserved. If you'd like to use this dataset in your own work, please kindly cite [A Diverse Set of Freely Available Linguistic Resources for Turkish](https://aclanthology.org/2023.acl-long.768/) :
```
@inproceedings{altinok-2023-diverse,
title = "A Diverse Set of Freely Available Linguistic Resources for {T}urkish",
author = "Altinok, Duygu",
booktitle = "Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
month = jul,
year = "2023",
address = "Toronto, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.acl-long.768",
pages = "13739--13750",
abstract = "This study presents a diverse set of freely available linguistic resources for Turkish natural language processing, including corpora, pretrained models and education material. Although Turkish is spoken by a sizeable population of over 80 million people, Turkish linguistic resources for natural language processing remain scarce. In this study, we provide corpora to allow practitioners to build their own applications and pretrained models that would assist industry researchers in creating quick prototypes. The provided corpora include named entity recognition datasets of diverse genres, including Wikipedia articles and supplement products customer reviews. In addition, crawling e-commerce and movie reviews websites, we compiled several sentiment analysis datasets of different genres. Our linguistic resources for Turkish also include pretrained spaCy language models. To the best of our knowledge, our models are the first spaCy models trained for the Turkish language. Finally, we provide various types of education material, such as video tutorials and code examples, that can support the interested audience on practicing Turkish NLP. The advantages of our linguistic resources are three-fold: they are freely available, they are first of their kind, and they are easy to use in a broad range of implementations. Along with a thorough description of the resource creation process, we also explain the position of our resources in the Turkish NLP world.",
}
```
|
turkish-nlp-suite/beyazperde-top-300-movie-reviews
|
[
"task_categories:text-classification",
"task_ids:sentiment-classification",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"language:tr",
"license:cc-by-sa-4.0",
"region:us"
] |
2023-05-08T07:45:08+00:00
|
{"language": ["tr"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "task_categories": ["text-classification"], "task_ids": ["sentiment-classification"], "pretty_name": "BeyazPerde Top 300 Movie Reviews"}
|
2023-09-20T15:41:11+00:00
|
aa30435eadb697e967526e1ad948ead435a26fd9
|
# chinese-lexical-normalization
This dataset contains informal-formal-explanation triples from the [chinese-lexical-normalization dataset](https://github.com/tiantian002/chinese-lexical-normalization). Note that there are duplicate informal-formal pairs due to multiple explanations.
Example usage:
```
from datasets import load_dataset
dataset = load_dataset("larrylawl/chinese-lexical-normalization")
```
|
larrylawl/chinese-lexical-normalization
|
[
"region:us"
] |
2023-05-08T07:51:13+00:00
|
{}
|
2023-05-08T07:54:58+00:00
|
1793e9dd237ca8960f16ca3aefdcd65f08e3de9a
|
# Dataset Card for SAMSum Corpus (ru)
## Dataset Description
Translated [samsum](https://huggingface.co/datasets/samsum) dataset to russian language.
### Notes
> Row with ID **13828807** was deleted.
### Links
- **Homepage:** hhttps://arxiv.org/abs/1911.12237v2
- **Repository:** https://arxiv.org/abs/1911.12237v2
- **Paper:** https://arxiv.org/abs/1911.12237v2
### Languages
Russian (translated from English [samsum](https://huggingface.co/datasets/samsum) using Google Translator)
## Dataset Structure
### Data Fields
- dialogue: text of dialogue.
- summary: human written summary of the dialogue.
- id: unique file id of an example.
### Data Splits
- train: 14731
- val: 818
- test: 819
## Licensing Information
non-commercial licence: CC BY-NC-ND 4.0
## Citation Information
```
@inproceedings{gliwa-etal-2019-samsum,
title = "{SAMS}um Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization",
author = "Gliwa, Bogdan and
Mochol, Iwona and
Biesek, Maciej and
Wawer, Aleksander",
booktitle = "Proceedings of the 2nd Workshop on New Frontiers in Summarization",
month = nov,
year = "2019",
address = "Hong Kong, China",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/D19-5409",
doi = "10.18653/v1/D19-5409",
pages = "70--79"
}
```
|
d0rj/samsum-ru
|
[
"task_categories:summarization",
"annotations_creators:expert-generated",
"language_creators:translated",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:samsum",
"language:ru",
"license:cc-by-nc-nd-4.0",
"conversations-summarization",
"arxiv:1911.12237",
"region:us"
] |
2023-05-08T07:57:36+00:00
|
{"annotations_creators": ["expert-generated"], "language_creators": ["translated"], "language": ["ru"], "license": ["cc-by-nc-nd-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["samsum"], "task_categories": ["summarization"], "task_ids": [], "pretty_name": "SAMSum Corpus (ru)", "tags": ["conversations-summarization"], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "dialogue", "dtype": "string"}, {"name": "summary", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 8598724, "num_examples": 14731}, {"name": "validation", "num_bytes": 471632, "num_examples": 818}, {"name": "test", "num_bytes": 483686, "num_examples": 819}], "dataset_size": 9554042}, "train-eval-index": [{"config": "samsum", "task": "summarization", "task_id": "summarization", "splits": {"eval_split": "test"}, "col_mapping": {"dialogue": "text", "summary": "target"}}]}
|
2023-05-13T05:44:23+00:00
|
32c54c15e7651cd68dfab18eee39f63ff0cc1e82
|
The ESConv dataset. [GitHub repo](https://github.com/thu-coai/Emotional-Support-Conversation). [Original paper](https://arxiv.org/abs/2106.01144).
```bib
@inproceedings{liu-etal-2021-towards,
title={Towards Emotional Support Dialog Systems},
author={Liu, Siyang and
Zheng, Chujie and
Demasi, Orianna and
Sabour, Sahand and
Li, Yu and
Yu, Zhou and
Jiang, Yong and
Huang, Minlie},
booktitle={ACL},
year={2021}
}
```
|
thu-coai/esconv
|
[
"language:en",
"license:cc-by-nc-4.0",
"arxiv:2106.01144",
"region:us"
] |
2023-05-08T08:18:06+00:00
|
{"language": ["en"], "license": "cc-by-nc-4.0"}
|
2023-07-15T07:26:36+00:00
|
d7a67ec3d7228f9cd6fce629b70f36f5954e341a
|
The CDConv dataset. [GitHub repo](https://github.com/thu-coai/CDConv). [Original paper](https://arxiv.org/abs/2210.08511).
```bib
@inproceedings{zheng-etal-2022-cdconv,
title={CDConv: A Benchmark for Contradiction Detection in Chinese Conversations},
author={Zheng, Chujie and
Zhou, Jinfeng and
Zheng, Yinhe and
Peng, Libiao and
Guo, Zhen and
Wu, Wenquan and
Niu, Zhengyu and
Wu, Hua and
Huang, Minlie},
booktitle={EMNLP},
year={2022}
}
```
|
thu-coai/cdconv
|
[
"language:zh",
"license:cc-by-nc-4.0",
"arxiv:2210.08511",
"region:us"
] |
2023-05-08T08:22:23+00:00
|
{"language": ["zh"], "license": "cc-by-nc-4.0"}
|
2023-05-08T08:24:03+00:00
|
907ff901149f9bce6b2faf321cb02c1af4ef5aca
|
The DiaSafety dataset. [GitHub repo](https://github.com/thu-coai/DiaSafety). [Original paper](https://arxiv.org/abs/2110.08466).
```bib
@inproceedings{sun-etal-2022-safety,
title = "On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark",
author = "Sun, Hao and
Xu, Guangxuan and
Deng, Jiawen and
Cheng, Jiale and
Zheng, Chujie and
Zhou, Hao and
Peng, Nanyun and
Zhu, Xiaoyan and
Huang, Minlie",
booktitle = "Findings of ACL 2022",
year = "2022"
}
```
|
thu-coai/diasafety
|
[
"language:en",
"license:apache-2.0",
"arxiv:2110.08466",
"region:us"
] |
2023-05-08T08:57:23+00:00
|
{"language": ["en"], "license": "apache-2.0"}
|
2023-05-08T09:00:26+00:00
|
705562638fe1d8ca6bb98c66fc8f94d45fda8c83
|
ChilleD/StrategyQA
|
[
"license:mit",
"region:us"
] |
2023-05-08T08:58:18+00:00
|
{"license": "mit", "dataset_info": {"features": [{"name": "qid", "dtype": "string"}, {"name": "term", "dtype": "string"}, {"name": "description", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answer", "dtype": "bool"}, {"name": "facts", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 524456, "num_examples": 1603}, {"name": "test", "num_bytes": 226237, "num_examples": 687}], "download_size": 530106, "dataset_size": 750693}}
|
2023-08-26T02:18:40+00:00
|
|
a31e56eb008ac3c6abe987094fb06a07fc53625f
|
The COLD dataset. [GitHub repo](https://github.com/thu-coai/COLDataset). [Original paper](https://arxiv.org/abs/2201.06025).
```bib
@inproceedings{deng-etal-2022-cold,
title = "{COLD}: A Benchmark for {C}hinese Offensive Language Detection",
author = "Deng, Jiawen and
Zhou, Jingyan and
Sun, Hao and
Zheng, Chujie and
Mi, Fei and
Meng, Helen and
Huang, Minlie",
booktitle = "EMNLP",
year = "2022"
}
```
|
thu-coai/cold
|
[
"language:zh",
"license:apache-2.0",
"arxiv:2201.06025",
"region:us"
] |
2023-05-08T09:00:42+00:00
|
{"language": ["zh"], "license": "apache-2.0"}
|
2023-05-08T09:02:22+00:00
|
8de45e0b133dba939f71fe5c05d077e1cd2135a7
|
# Dataset Card for "SMM2-levels-discrete_v2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
valashir/SMM2-levels-discrete_v2
|
[
"region:us"
] |
2023-05-08T09:02:25+00:00
|
{"dataset_info": {"features": [{"name": "level", "sequence": {"sequence": {"sequence": "uint8"}}}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1800125109.1148636, "num_examples": 16748}, {"name": "test", "num_bytes": 1182312.8851363447, "num_examples": 11}], "download_size": 20514639, "dataset_size": 1801307422.0}}
|
2023-05-08T09:02:58+00:00
|
0f817e2a9875aa48e42fd88d734a6eba796eea76
|
Barsius/fortrain
|
[
"license:unknown",
"region:us"
] |
2023-05-08T09:24:40+00:00
|
{"license": "unknown"}
|
2023-05-08T09:36:34+00:00
|
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