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5c87805bb2dcd173f4885b1be4ef3a5be04ec6ab | # Dataset Card for "VALUE_mrpc_got"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_mrpc_got | [
"region:us"
]
| 2023-04-03T03:18:46+00:00 | {"dataset_info": {"features": [{"name": "sentence1", "dtype": "string"}, {"name": "sentence2", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "test", "num_bytes": 9633, "num_examples": 39}, {"name": "train", "num_bytes": 24192, "num_examples": 92}, {"name": "validation", "num_bytes": 3814, "num_examples": 16}], "download_size": 37525, "dataset_size": 37639}} | 2023-04-03T03:18:51+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "VALUE_mrpc_got"
More Information needed | [
"# Dataset Card for \"VALUE_mrpc_got\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE_mrpc_got\"\n\nMore Information needed"
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|
73aa67bdfa07d082becb4ece2a358eb436c923ec | # Dataset Card for "VALUE_mrpc_lexical"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_mrpc_lexical | [
"region:us"
]
| 2023-04-03T03:27:07+00:00 | {"dataset_info": {"features": [{"name": "sentence1", "dtype": "string"}, {"name": "sentence2", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "test", "num_bytes": 402763, "num_examples": 1493}, {"name": "train", "num_bytes": 849076, "num_examples": 3134}, {"name": "validation", "num_bytes": 97832, "num_examples": 360}], "download_size": 921493, "dataset_size": 1349671}} | 2023-04-03T03:27:12+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "VALUE_mrpc_lexical"
More Information needed | [
"# Dataset Card for \"VALUE_mrpc_lexical\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE_mrpc_lexical\"\n\nMore Information needed"
]
| [
6,
18
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE_mrpc_lexical\"\n\nMore Information needed"
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|
55c64f1a82dc87db488162635f1c27bac9bcf668 | # Dataset Card for "VALUE_cola_got"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_cola_got | [
"region:us"
]
| 2023-04-03T03:32:32+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 1180, "num_examples": 14}, {"name": "test", "num_bytes": 720, "num_examples": 11}, {"name": "train", "num_bytes": 8096, "num_examples": 112}], "download_size": 10537, "dataset_size": 9996}} | 2023-04-03T03:32:36+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "VALUE_cola_got"
More Information needed | [
"# Dataset Card for \"VALUE_cola_got\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE_cola_got\"\n\nMore Information needed"
]
| [
6,
16
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE_cola_got\"\n\nMore Information needed"
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|
0ba75758268dd972a320b577e00cf678f7d4b8e9 | # Dataset Card for "VALUE_cola_drop_aux"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_cola_drop_aux | [
"region:us"
]
| 2023-04-03T03:32:33+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 4868, "num_examples": 66}, {"name": "test", "num_bytes": 5488, "num_examples": 74}, {"name": "train", "num_bytes": 46427, "num_examples": 653}], "download_size": 31602, "dataset_size": 56783}} | 2023-04-03T03:32:37+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "VALUE_cola_drop_aux"
More Information needed | [
"# Dataset Card for \"VALUE_cola_drop_aux\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE_cola_drop_aux\"\n\nMore Information needed"
]
| [
6,
18
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| [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE_cola_drop_aux\"\n\nMore Information needed"
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|
efd349b21a87eaeb0ee4dd29aa403a7c132f2efe | # Dataset Card for "VALUE_cola_null_relcl"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_cola_null_relcl | [
"region:us"
]
| 2023-04-03T03:32:42+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 3200, "num_examples": 39}, {"name": "test", "num_bytes": 2451, "num_examples": 31}, {"name": "train", "num_bytes": 32865, "num_examples": 390}], "download_size": 24364, "dataset_size": 38516}} | 2023-04-03T03:32:46+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "VALUE_cola_null_relcl"
More Information needed | [
"# Dataset Card for \"VALUE_cola_null_relcl\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE_cola_null_relcl\"\n\nMore Information needed"
]
| [
6,
19
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE_cola_null_relcl\"\n\nMore Information needed"
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|
f092a1c3fa26f7d088e31ea1aa688e0cb9d07b5b | # Dataset Card for "VALUE_cola_dey_it"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_cola_dey_it | [
"region:us"
]
| 2023-04-03T03:32:42+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 1545, "num_examples": 22}, {"name": "test", "num_bytes": 1597, "num_examples": 21}, {"name": "train", "num_bytes": 10190, "num_examples": 146}], "download_size": 12452, "dataset_size": 13332}} | 2023-04-03T03:32:46+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "VALUE_cola_dey_it"
More Information needed | [
"# Dataset Card for \"VALUE_cola_dey_it\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE_cola_dey_it\"\n\nMore Information needed"
]
| [
6,
19
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE_cola_dey_it\"\n\nMore Information needed"
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|
ab7cc6d16b79c093fbd903d2d51c3aca37743f06 | # Dataset Card for "VALUE_cola_been_done"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_cola_been_done | [
"region:us"
]
| 2023-04-03T03:32:43+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 4170, "num_examples": 45}, {"name": "test", "num_bytes": 5169, "num_examples": 60}, {"name": "train", "num_bytes": 51879, "num_examples": 627}], "download_size": 33431, "dataset_size": 61218}} | 2023-04-03T03:32:46+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "VALUE_cola_been_done"
More Information needed | [
"# Dataset Card for \"VALUE_cola_been_done\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE_cola_been_done\"\n\nMore Information needed"
]
| [
6,
19
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE_cola_been_done\"\n\nMore Information needed"
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|
b0c849f7ee4c6e2335c8f928f95c133b660e3316 | # Dataset Card for "VALUE_cola_negative_concord"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_cola_negative_concord | [
"region:us"
]
| 2023-04-03T03:32:53+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 2852, "num_examples": 32}, {"name": "test", "num_bytes": 3887, "num_examples": 43}, {"name": "train", "num_bytes": 20147, "num_examples": 258}], "download_size": 18300, "dataset_size": 26886}} | 2023-04-03T03:32:56+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "VALUE_cola_negative_concord"
More Information needed | [
"# Dataset Card for \"VALUE_cola_negative_concord\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE_cola_negative_concord\"\n\nMore Information needed"
]
| [
6,
20
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE_cola_negative_concord\"\n\nMore Information needed"
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|
7c51303b6b6f4330d0218edf3b6c0f68ab17def0 | # Dataset Card for "VALUE_cola_negative_inversion"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_cola_negative_inversion | [
"region:us"
]
| 2023-04-03T03:32:56+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 368, "num_examples": 3}, {"name": "test", "num_bytes": 166, "num_examples": 1}, {"name": "train", "num_bytes": 596, "num_examples": 8}], "download_size": 7183, "dataset_size": 1130}} | 2023-04-03T03:32:59+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "VALUE_cola_negative_inversion"
More Information needed | [
"# Dataset Card for \"VALUE_cola_negative_inversion\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE_cola_negative_inversion\"\n\nMore Information needed"
]
| [
6,
20
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE_cola_negative_inversion\"\n\nMore Information needed"
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|
05711180aaa3ff584d655aeb55f27c959c591e2a | # Dataset Card for "VALUE_cola_null_genetive"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_cola_null_genetive | [
"region:us"
]
| 2023-04-03T03:33:00+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 4028, "num_examples": 46}, {"name": "test", "num_bytes": 2517, "num_examples": 31}, {"name": "train", "num_bytes": 18485, "num_examples": 243}], "download_size": 18272, "dataset_size": 25030}} | 2023-04-03T03:33:04+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "VALUE_cola_null_genetive"
More Information needed | [
"# Dataset Card for \"VALUE_cola_null_genetive\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE_cola_null_genetive\"\n\nMore Information needed"
]
| [
6,
19
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE_cola_null_genetive\"\n\nMore Information needed"
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|
40a715e80213a3d1879fea42065e3d2d77430f95 | # Dataset Card for "VALUE_cola_uninflect"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_cola_uninflect | [
"region:us"
]
| 2023-04-03T03:33:04+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 12887, "num_examples": 172}, {"name": "test", "num_bytes": 13595, "num_examples": 185}, {"name": "train", "num_bytes": 95853, "num_examples": 1323}], "download_size": 62088, "dataset_size": 122335}} | 2023-04-03T03:33:08+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "VALUE_cola_uninflect"
More Information needed | [
"# Dataset Card for \"VALUE_cola_uninflect\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE_cola_uninflect\"\n\nMore Information needed"
]
| [
6,
19
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE_cola_uninflect\"\n\nMore Information needed"
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|
4505c17f509fbf0aa2efcde8feece172bb122d92 | # Dataset Card for "realmovies"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jlbaker361/realmovies | [
"region:us"
]
| 2023-04-03T03:36:11+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "src", "dtype": "string"}, {"name": "split", "dtype": "string"}, {"name": "id", "dtype": "int64"}, {"name": "caption", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 367209384.75, "num_examples": 1274}], "download_size": 367160497, "dataset_size": 367209384.75}} | 2023-04-03T03:36:23+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "realmovies"
More Information needed | [
"# Dataset Card for \"realmovies\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"realmovies\"\n\nMore Information needed"
]
| [
6,
13
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"realmovies\"\n\nMore Information needed"
]
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|
8f53e500b33fa67176dad8a888ea89d721330d8a | # Dataset Card for "VALUE_wnli_been_done"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_wnli_been_done | [
"region:us"
]
| 2023-04-03T03:38:33+00:00 | {"dataset_info": {"features": [{"name": "sentence1", "dtype": "string"}, {"name": "sentence2", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 2794, "num_examples": 12}, {"name": "test", "num_bytes": 16167, "num_examples": 57}, {"name": "train", "num_bytes": 29881, "num_examples": 129}], "download_size": 24177, "dataset_size": 48842}} | 2023-04-03T03:38:37+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "VALUE_wnli_been_done"
More Information needed | [
"# Dataset Card for \"VALUE_wnli_been_done\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE_wnli_been_done\"\n\nMore Information needed"
]
| [
6,
20
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE_wnli_been_done\"\n\nMore Information needed"
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|
f55a74124f788e2ac64453ace753b3f4e15ed879 | # Dataset Card for "VALUE_wnli_dey_it"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_wnli_dey_it | [
"region:us"
]
| 2023-04-03T03:38:34+00:00 | {"dataset_info": {"features": [{"name": "sentence1", "dtype": "string"}, {"name": "sentence2", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 878, "num_examples": 4}, {"name": "test", "num_bytes": 1264, "num_examples": 4}, {"name": "train", "num_bytes": 4938, "num_examples": 26}], "download_size": 12662, "dataset_size": 7080}} | 2023-04-03T03:38:37+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "VALUE_wnli_dey_it"
More Information needed | [
"# Dataset Card for \"VALUE_wnli_dey_it\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE_wnli_dey_it\"\n\nMore Information needed"
]
| [
6,
20
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE_wnli_dey_it\"\n\nMore Information needed"
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|
57b14b643b4bc3634cfa2cb3c6ce30c1da2ae638 | # Dataset Card for "VALUE_wnli_got"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_wnli_got | [
"region:us"
]
| 2023-04-03T03:38:37+00:00 | {"dataset_info": {"features": [{"name": "sentence1", "dtype": "string"}, {"name": "sentence2", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "test", "num_bytes": 5514, "num_examples": 20}, {"name": "train", "num_bytes": 969, "num_examples": 6}], "download_size": 7711, "dataset_size": 6483}} | 2023-04-03T03:38:39+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "VALUE_wnli_got"
More Information needed | [
"# Dataset Card for \"VALUE_wnli_got\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE_wnli_got\"\n\nMore Information needed"
]
| [
6,
17
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE_wnli_got\"\n\nMore Information needed"
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|
f25d918a655ae9f15948d116c50e76b1359f99e6 | # Dataset Card for "VALUE_wnli_null_genetive"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_wnli_null_genetive | [
"region:us"
]
| 2023-04-03T03:38:42+00:00 | {"dataset_info": {"features": [{"name": "sentence1", "dtype": "string"}, {"name": "sentence2", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 2410, "num_examples": 11}, {"name": "test", "num_bytes": 21711, "num_examples": 75}, {"name": "train", "num_bytes": 33792, "num_examples": 174}], "download_size": 27014, "dataset_size": 57913}} | 2023-04-03T03:38:46+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "VALUE_wnli_null_genetive"
More Information needed | [
"# Dataset Card for \"VALUE_wnli_null_genetive\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE_wnli_null_genetive\"\n\nMore Information needed"
]
| [
6,
20
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE_wnli_null_genetive\"\n\nMore Information needed"
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| [
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|
6a8c2a1544148ae25e5637e15d033aee58ae67d0 | # Dataset Card for "VALUE_wnli_null_relcl"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_wnli_null_relcl | [
"region:us"
]
| 2023-04-03T03:38:45+00:00 | {"dataset_info": {"features": [{"name": "sentence1", "dtype": "string"}, {"name": "sentence2", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 1129, "num_examples": 5}, {"name": "test", "num_bytes": 6167, "num_examples": 18}, {"name": "train", "num_bytes": 11060, "num_examples": 38}], "download_size": 16096, "dataset_size": 18356}} | 2023-04-03T03:38:49+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "VALUE_wnli_null_relcl"
More Information needed | [
"# Dataset Card for \"VALUE_wnli_null_relcl\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE_wnli_null_relcl\"\n\nMore Information needed"
]
| [
6,
20
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE_wnli_null_relcl\"\n\nMore Information needed"
]
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|
997635d0a554ca2b80252e9c33e3089f11573cb9 | # Dataset Card for "VALUE_wnli_negative_concord"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_wnli_negative_concord | [
"region:us"
]
| 2023-04-03T03:38:45+00:00 | {"dataset_info": {"features": [{"name": "sentence1", "dtype": "string"}, {"name": "sentence2", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 2364, "num_examples": 13}, {"name": "test", "num_bytes": 1272, "num_examples": 4}, {"name": "train", "num_bytes": 11986, "num_examples": 64}], "download_size": 15286, "dataset_size": 15622}} | 2023-04-03T03:38:49+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "VALUE_wnli_negative_concord"
More Information needed | [
"# Dataset Card for \"VALUE_wnli_negative_concord\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE_wnli_negative_concord\"\n\nMore Information needed"
]
| [
6,
21
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE_wnli_negative_concord\"\n\nMore Information needed"
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|
24cb53a6cbb390d5fe5d97730c331f3d79a795ff | # Dataset Card for "VALUE_wnli_uninflect"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_wnli_uninflect | [
"region:us"
]
| 2023-04-03T03:38:46+00:00 | {"dataset_info": {"features": [{"name": "sentence1", "dtype": "string"}, {"name": "sentence2", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 3285, "num_examples": 18}, {"name": "test", "num_bytes": 13835, "num_examples": 48}, {"name": "train", "num_bytes": 25679, "num_examples": 127}], "download_size": 23344, "dataset_size": 42799}} | 2023-04-03T03:38:50+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "VALUE_wnli_uninflect"
More Information needed | [
"# Dataset Card for \"VALUE_wnli_uninflect\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE_wnli_uninflect\"\n\nMore Information needed"
]
| [
6,
20
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE_wnli_uninflect\"\n\nMore Information needed"
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|
c9f54b641fc97a85a4f54b068651f5210d406179 | # Dataset Card for "VALUE_wnli_drop_aux"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_wnli_drop_aux | [
"region:us"
]
| 2023-04-03T03:38:51+00:00 | {"dataset_info": {"features": [{"name": "sentence1", "dtype": "string"}, {"name": "sentence2", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 370, "num_examples": 3}, {"name": "test", "num_bytes": 2929, "num_examples": 12}, {"name": "train", "num_bytes": 10083, "num_examples": 66}], "download_size": 12687, "dataset_size": 13382}} | 2023-04-03T03:38:54+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "VALUE_wnli_drop_aux"
More Information needed | [
"# Dataset Card for \"VALUE_wnli_drop_aux\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE_wnli_drop_aux\"\n\nMore Information needed"
]
| [
6,
19
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE_wnli_drop_aux\"\n\nMore Information needed"
]
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|
c2c8884d44a2e0fc240e41ecdc29817345b8bfa1 | # Dataset Card for "VALUE_wnli_lexical"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_wnli_lexical | [
"region:us"
]
| 2023-04-03T03:39:39+00:00 | {"dataset_info": {"features": [{"name": "sentence1", "dtype": "string"}, {"name": "sentence2", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 12045, "num_examples": 65}, {"name": "test", "num_bytes": 37881, "num_examples": 141}, {"name": "train", "num_bytes": 97970, "num_examples": 536}], "download_size": 72924, "dataset_size": 147896}} | 2023-04-03T03:39:43+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "VALUE_wnli_lexical"
More Information needed | [
"# Dataset Card for \"VALUE_wnli_lexical\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE_wnli_lexical\"\n\nMore Information needed"
]
| [
6,
18
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE_wnli_lexical\"\n\nMore Information needed"
]
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|
7a08dfa5d6f6ac121f8c47a6d433cbd9a69f57e8 | # Dataset Card for "VALUE_cola_lexical"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_cola_lexical | [
"region:us"
]
| 2023-04-03T03:39:53+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 39731, "num_examples": 531}, {"name": "test", "num_bytes": 40759, "num_examples": 556}, {"name": "train", "num_bytes": 314154, "num_examples": 4313}], "download_size": 200886, "dataset_size": 394644}} | 2023-04-03T03:39:57+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "VALUE_cola_lexical"
More Information needed | [
"# Dataset Card for \"VALUE_cola_lexical\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE_cola_lexical\"\n\nMore Information needed"
]
| [
6,
17
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE_cola_lexical\"\n\nMore Information needed"
]
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|
92947564f0b6bac44c405272df8cd7247937fc2d | 本数据应用于项目：[Firefly（流萤）: 中文对话式大语言模型](https://github.com/yangjianxin1/Firefly) ，训练后得到的模型[firefly-1b4](https://huggingface.co/YeungNLP/firefly-1b4)
如果您觉得此数据集对您有帮助，请like此数据集并在Github项目中star我们。
我们收集了23个常见的中文数据集，对于每个任务，由人工书写若干种指令模板，保证数据的高质量与丰富度，数据量为115万 。数据分布如下图所示：
每条数据的格式如下，包含任务类型、输入、目标输出：
```json
{
"kind": "ClassicalChinese",
"input": "将下面句子翻译成现代文：\n石中央又生一树，高百余尺，条干偃阴为五色，翠叶如盘，花径尺余，色深碧，蕊深红，异香成烟，著物霏霏。",
"target": "大石的中央长着一棵树，一百多尺高，枝干是彩色的，树叶有盘子那样大，花的直径有一尺宽，花瓣深蓝色，花中飘出奇异的香气笼罩着周围，如烟似雾。"
}
```
训练数据集的token长度分布如下图所示，绝大部分数据的长度都小于600：
 | YeungNLP/firefly-train-1.1M | [
"region:us"
]
| 2023-04-03T03:47:50+00:00 | {} | 2023-04-10T05:15:28+00:00 | []
| []
| TAGS
#region-us
| 本数据应用于项目：Firefly（流萤）: 中文对话式大语言模型 ，训练后得到的模型firefly-1b4
如果您觉得此数据集对您有帮助，请like此数据集并在Github项目中star我们。
我们收集了23个常见的中文数据集，对于每个任务，由人工书写若干种指令模板，保证数据的高质量与丰富度，数据量为115万 。数据分布如下图所示：
!task_distribution
每条数据的格式如下，包含任务类型、输入、目标输出：
训练数据集的token长度分布如下图所示，绝大部分数据的长度都小于600：
!len_distribution.png | []
| [
"TAGS\n#region-us \n"
]
| [
6
]
| [
"passage: TAGS\n#region-us \n"
]
| [
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|
7864f8a15a1473bb607773ba6854c1cb46aee2f2 | # Dataset Card for "avatarkorra"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jlbaker361/avatarkorra | [
"region:us"
]
| 2023-04-03T03:48:46+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "src", "dtype": "string"}, {"name": "split", "dtype": "string"}, {"name": "id", "dtype": "int64"}, {"name": "caption", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3054325805.25, "num_examples": 13686}], "download_size": 3052884339, "dataset_size": 3054325805.25}} | 2023-04-03T03:50:19+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "avatarkorra"
More Information needed | [
"# Dataset Card for \"avatarkorra\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"avatarkorra\"\n\nMore Information needed"
]
| [
6,
13
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"avatarkorra\"\n\nMore Information needed"
]
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|
62c4744d46aa7e1e536dd9d7cab01a6c7c944e80 |
This dataset is made from this repo [here](https://github.com/janelleshane/DnD_bios)
and it contains 2322 character bios to be used | MohamedRashad/dnd_characters_backstories | [
"task_categories:text-generation",
"language:en",
"license:openrail",
"region:us"
]
| 2023-04-03T04:14:52+00:00 | {"language": ["en"], "license": "openrail", "task_categories": ["text-generation"], "pretty_name": "Dungeons & Dragons Characters Backstory"} | 2023-04-03T05:42:29+00:00 | []
| [
"en"
]
| TAGS
#task_categories-text-generation #language-English #license-openrail #region-us
|
This dataset is made from this repo here
and it contains 2322 character bios to be used | []
| [
"TAGS\n#task_categories-text-generation #language-English #license-openrail #region-us \n"
]
| [
27
]
| [
"passage: TAGS\n#task_categories-text-generation #language-English #license-openrail #region-us \n"
]
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|
ca195f137fb507443e52bfaa0c61098e65bf3dbc | # Dataset Card for "vqa-with-coco-annotated-no-images"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ryanramos/vqa-with-coco-annotated-no-images | [
"region:us"
]
| 2023-04-03T04:26:25+00:00 | {"dataset_info": {"features": [{"name": "license", "dtype": "int64"}, {"name": "file_name", "dtype": "string"}, {"name": "coco_url", "dtype": "string"}, {"name": "height", "dtype": "int64"}, {"name": "width", "dtype": "int64"}, {"name": "date_captured", "dtype": "string"}, {"name": "flickr_url", "dtype": "string"}, {"name": "captions", "list": [{"name": "caption", "dtype": "string"}, {"name": "id", "dtype": "int64"}]}, {"name": "questions", "list": [{"name": "answer_type", "dtype": "string"}, {"name": "answers", "list": [{"name": "answer", "dtype": "string"}, {"name": "answer_confidence", "dtype": "string"}, {"name": "answer_id", "dtype": "int64"}]}, {"name": "image_id", "dtype": "int64"}, {"name": "multiple_choice_answer", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "question_id", "dtype": "int64"}, {"name": "question_type", "dtype": "string"}]}, {"name": "image_id", "dtype": "int64"}, {"name": "question", "dtype": "string"}, {"name": "answer", "dtype": "string"}, {"name": "qa_statement", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 197985750, "num_examples": 82783}], "download_size": 49025655, "dataset_size": 197985750}} | 2023-04-03T04:26:33+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "vqa-with-coco-annotated-no-images"
More Information needed | [
"# Dataset Card for \"vqa-with-coco-annotated-no-images\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"vqa-with-coco-annotated-no-images\"\n\nMore Information needed"
]
| [
6,
26
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"vqa-with-coco-annotated-no-images\"\n\nMore Information needed"
]
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|
2ca383c3157fbc14b5f89129f2c31315f538d2a2 | # Dataset Card for "caoyq_en2zh_dataset"
## dataset_info:
en2zh translation data mixed with sra and ground truth data
## splits:
- name: train
- num_bytes: 1864681301
- num_examples: 12565044
- name: validation
- num_bytes: 93350771
- num_examples: 614925
> download_size: 1404480140
>
> dataset_size: 1958032072
## size_categories:
- 100M<n<1B
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | caoyq/caoyq_en2zh_dataset | [
"task_categories:translation",
"size_categories:100M<n<1B",
"language:en",
"language:zh",
"region:us"
]
| 2023-04-03T06:11:09+00:00 | {"language": ["en", "zh"], "size_categories": ["100M<n<1B"], "task_categories": ["translation"], "dataset_info": {"features": [{"name": "translation", "struct": [{"name": "en", "dtype": "string"}, {"name": "zh", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 1864681301, "num_examples": 12565044}, {"name": "validation", "num_bytes": 93350771, "num_examples": 614925}], "download_size": 1404480140, "dataset_size": 1958032072}} | 2023-04-03T06:29:11+00:00 | []
| [
"en",
"zh"
]
| TAGS
#task_categories-translation #size_categories-100M<n<1B #language-English #language-Chinese #region-us
| # Dataset Card for "caoyq_en2zh_dataset"
## dataset_info:
en2zh translation data mixed with sra and ground truth data
## splits:
- name: train
- num_bytes: 1864681301
- num_examples: 12565044
- name: validation
- num_bytes: 93350771
- num_examples: 614925
> download_size: 1404480140
>
> dataset_size: 1958032072
## size_categories:
- 100M<n<1B
More Information needed | [
"# Dataset Card for \"caoyq_en2zh_dataset\"",
"## dataset_info:\n en2zh translation data mixed with sra and ground truth data",
"## splits:\n - name: train\n - num_bytes: 1864681301\n - num_examples: 12565044\n - name: validation\n - num_bytes: 93350771\n - num_examples: 614925\n\n> download_size: 1404480140\n> \n> dataset_size: 1958032072",
"## size_categories:\n- 100M<n<1B\nMore Information needed"
]
| [
"TAGS\n#task_categories-translation #size_categories-100M<n<1B #language-English #language-Chinese #region-us \n",
"# Dataset Card for \"caoyq_en2zh_dataset\"",
"## dataset_info:\n en2zh translation data mixed with sra and ground truth data",
"## splits:\n - name: train\n - num_bytes: 1864681301\n - num_examples: 12565044\n - name: validation\n - num_bytes: 93350771\n - num_examples: 614925\n\n> download_size: 1404480140\n> \n> dataset_size: 1958032072",
"## size_categories:\n- 100M<n<1B\nMore Information needed"
]
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36,
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"passage: TAGS\n#task_categories-translation #size_categories-100M<n<1B #language-English #language-Chinese #region-us \n# Dataset Card for \"caoyq_en2zh_dataset\"## dataset_info:\n en2zh translation data mixed with sra and ground truth data## splits:\n - name: train\n - num_bytes: 1864681301\n - num_examples: 12565044\n - name: validation\n - num_bytes: 93350771\n - num_examples: 614925\n\n> download_size: 1404480140\n> \n> dataset_size: 1958032072## size_categories:\n- 100M<n<1B\nMore Information needed"
]
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|
bf24dc0323527b2c146b219d962f708f322c75d2 | # Dataset Card for "VALUE_qqp_got"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_qqp_got | [
"region:us"
]
| 2023-04-03T06:12:32+00:00 | {"dataset_info": {"features": [{"name": "question1", "dtype": "string"}, {"name": "question2", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 226540, "num_examples": 1068}, {"name": "test", "num_bytes": 2409791, "num_examples": 11743}, {"name": "train", "num_bytes": 2122998, "num_examples": 10142}], "download_size": 3009789, "dataset_size": 4759329}} | 2023-04-03T06:12:37+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "VALUE_qqp_got"
More Information needed | [
"# Dataset Card for \"VALUE_qqp_got\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE_qqp_got\"\n\nMore Information needed"
]
| [
6,
17
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| [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE_qqp_got\"\n\nMore Information needed"
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|
1c7147f30baa8f43ca12a5e08394d5fda9e9a728 | # Dataset Card for "VALUE_qqp_negative_concord"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_qqp_negative_concord | [
"region:us"
]
| 2023-04-03T06:13:52+00:00 | {"dataset_info": {"features": [{"name": "question1", "dtype": "string"}, {"name": "question2", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 262996, "num_examples": 1287}, {"name": "test", "num_bytes": 2530064, "num_examples": 12560}, {"name": "train", "num_bytes": 2338570, "num_examples": 11233}], "download_size": 3216982, "dataset_size": 5131630}} | 2023-04-03T06:13:57+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "VALUE_qqp_negative_concord"
More Information needed | [
"# Dataset Card for \"VALUE_qqp_negative_concord\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE_qqp_negative_concord\"\n\nMore Information needed"
]
| [
6,
21
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE_qqp_negative_concord\"\n\nMore Information needed"
]
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|
0cb5d0036a658fd0992ca9d5db1cbccd4666bf3f | # Dataset Card for "VALUE_qqp_drop_aux"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_qqp_drop_aux | [
"region:us"
]
| 2023-04-03T06:19:45+00:00 | {"dataset_info": {"features": [{"name": "question1", "dtype": "string"}, {"name": "question2", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 3106936, "num_examples": 21188}, {"name": "test", "num_bytes": 31234532, "num_examples": 210439}, {"name": "train", "num_bytes": 27897771, "num_examples": 190099}], "download_size": 37599853, "dataset_size": 62239239}} | 2023-04-03T06:19:53+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "VALUE_qqp_drop_aux"
More Information needed | [
"# Dataset Card for \"VALUE_qqp_drop_aux\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE_qqp_drop_aux\"\n\nMore Information needed"
]
| [
6,
19
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE_qqp_drop_aux\"\n\nMore Information needed"
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|
1b8f933b1e362170bea816ab28574caa2ab8edfe | # Dataset Card for "VALUE_qqp_been_done"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_qqp_been_done | [
"region:us"
]
| 2023-04-03T06:22:52+00:00 | {"dataset_info": {"features": [{"name": "question1", "dtype": "string"}, {"name": "question2", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 312738, "num_examples": 1592}, {"name": "test", "num_bytes": 2962055, "num_examples": 14898}, {"name": "train", "num_bytes": 2800207, "num_examples": 14143}], "download_size": 3754593, "dataset_size": 6075000}} | 2023-04-03T06:22:56+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "VALUE_qqp_been_done"
More Information needed | [
"# Dataset Card for \"VALUE_qqp_been_done\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE_qqp_been_done\"\n\nMore Information needed"
]
| [
6,
20
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE_qqp_been_done\"\n\nMore Information needed"
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|
2dcf154b8322116a184f1eb98bc8377513f5b189 | # Dataset Card for "VALUE_qqp_dey_it"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_qqp_dey_it | [
"region:us"
]
| 2023-04-03T06:26:22+00:00 | {"dataset_info": {"features": [{"name": "question1", "dtype": "string"}, {"name": "question2", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 331535, "num_examples": 1870}, {"name": "test", "num_bytes": 3266804, "num_examples": 18707}, {"name": "train", "num_bytes": 2881908, "num_examples": 16269}], "download_size": 4036549, "dataset_size": 6480247}} | 2023-04-03T06:26:27+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "VALUE_qqp_dey_it"
More Information needed | [
"# Dataset Card for \"VALUE_qqp_dey_it\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE_qqp_dey_it\"\n\nMore Information needed"
]
| [
6,
20
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE_qqp_dey_it\"\n\nMore Information needed"
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|
7d124aa0e1da32732bb98349da0dcc8ec7851fd8 | # Dataset Card for "VALUE_qqp_null_relcl"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_qqp_null_relcl | [
"region:us"
]
| 2023-04-03T06:37:21+00:00 | {"dataset_info": {"features": [{"name": "question1", "dtype": "string"}, {"name": "question2", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 393964, "num_examples": 2056}, {"name": "test", "num_bytes": 3924243, "num_examples": 20760}, {"name": "train", "num_bytes": 3646230, "num_examples": 18910}], "download_size": 4867867, "dataset_size": 7964437}} | 2023-04-03T06:37:26+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "VALUE_qqp_null_relcl"
More Information needed | [
"# Dataset Card for \"VALUE_qqp_null_relcl\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE_qqp_null_relcl\"\n\nMore Information needed"
]
| [
6,
20
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE_qqp_null_relcl\"\n\nMore Information needed"
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|
5b40c235f2f481e927052fa465171a64109d1cc7 | # Dataset Card for "VALUE_qqp_negative_inversion"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_qqp_negative_inversion | [
"region:us"
]
| 2023-04-03T06:44:36+00:00 | {"dataset_info": {"features": [{"name": "question1", "dtype": "string"}, {"name": "question2", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 262, "num_examples": 1}, {"name": "test", "num_bytes": 10028, "num_examples": 39}, {"name": "train", "num_bytes": 6759, "num_examples": 30}], "download_size": 21263, "dataset_size": 17049}} | 2023-04-03T06:44:40+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "VALUE_qqp_negative_inversion"
More Information needed | [
"# Dataset Card for \"VALUE_qqp_negative_inversion\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE_qqp_negative_inversion\"\n\nMore Information needed"
]
| [
6,
21
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE_qqp_negative_inversion\"\n\nMore Information needed"
]
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|
13ae248288cf8fa7d97d4d4536e3e4da92984a6c | # Dataset Card for "VALUE_qqp_uninflect"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_qqp_uninflect | [
"region:us"
]
| 2023-04-03T06:47:47+00:00 | {"dataset_info": {"features": [{"name": "question1", "dtype": "string"}, {"name": "question2", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 1394360, "num_examples": 8190}, {"name": "test", "num_bytes": 13656226, "num_examples": 80557}, {"name": "train", "num_bytes": 12711973, "num_examples": 74245}], "download_size": 17684251, "dataset_size": 27762559}} | 2023-04-03T06:47:53+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "VALUE_qqp_uninflect"
More Information needed | [
"# Dataset Card for \"VALUE_qqp_uninflect\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE_qqp_uninflect\"\n\nMore Information needed"
]
| [
6,
20
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE_qqp_uninflect\"\n\nMore Information needed"
]
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|
0d9fa8f5aebde9b399f01feaf7bb3506febc8ece | # Dataset Card for "VALUE_qqp_null_genetive"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/VALUE_qqp_null_genetive | [
"region:us"
]
| 2023-04-03T06:50:09+00:00 | {"dataset_info": {"features": [{"name": "question1", "dtype": "string"}, {"name": "question2", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 344541, "num_examples": 1928}, {"name": "test", "num_bytes": 3293958, "num_examples": 18748}, {"name": "train", "num_bytes": 3073564, "num_examples": 17249}], "download_size": 4181542, "dataset_size": 6712063}} | 2023-04-03T06:50:14+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "VALUE_qqp_null_genetive"
More Information needed | [
"# Dataset Card for \"VALUE_qqp_null_genetive\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"VALUE_qqp_null_genetive\"\n\nMore Information needed"
]
| [
6,
20
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"VALUE_qqp_null_genetive\"\n\nMore Information needed"
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|
a620c73d8d11a38a77a9aa1a8ed5a4651a3b7a19 | # Dataset Card for "commits-pjj-diff"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | bigcode/commits-pjj-diff | [
"region:us"
]
| 2023-04-03T07:40:39+00:00 | {"dataset_info": {"features": [{"name": "commit", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "old_file", "dtype": "string"}, {"name": "new_file", "dtype": "string"}, {"name": "old_contents", "dtype": "string"}, {"name": "lang", "dtype": "string"}, {"name": "proba", "dtype": "float64"}, {"name": "diff", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 37542628668.41245, "num_examples": 2597493}], "download_size": 3991157226, "dataset_size": 37542628668.41245}} | 2023-04-03T08:02:06+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "commits-pjj-diff"
More Information needed | [
"# Dataset Card for \"commits-pjj-diff\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"commits-pjj-diff\"\n\nMore Information needed"
]
| [
6,
18
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"commits-pjj-diff\"\n\nMore Information needed"
]
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|
6d7662cef937b9ebc3758b347b8d3dee6f96656f | # Dataset Card for "tmp-imagefolder"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | albertvillanova/tmp-imagefolder | [
"region:us"
]
| 2023-04-03T07:56:10+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "bharatanatyam", "1": "kathak"}}}}], "splits": [{"name": "train", "num_bytes": 18458.0, "num_examples": 2}, {"name": "validation", "num_bytes": 8463.0, "num_examples": 1}], "download_size": 29860, "dataset_size": 26921.0}} | 2023-04-03T08:03:23+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "tmp-imagefolder"
More Information needed | [
"# Dataset Card for \"tmp-imagefolder\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"tmp-imagefolder\"\n\nMore Information needed"
]
| [
6,
16
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"tmp-imagefolder\"\n\nMore Information needed"
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|
55af42ea8a24ac8a2b52ff83a489394c6cd09691 | # stable difussion in colab
CN_tag_trans from https://www.bilibili.com/video/BV1tg4y137mt/?spm_id_from=333.880.my_history.page.click&vd_source=931a87555c05909a4816745522b3ce74
| daasd/sd_backup | [
"region:us"
]
| 2023-04-03T08:01:58+00:00 | {} | 2024-01-28T14:24:18+00:00 | []
| []
| TAGS
#region-us
| # stable difussion in colab
CN_tag_trans from URL
| [
"# stable difussion in colab\nCN_tag_trans from URL"
]
| [
"TAGS\n#region-us \n",
"# stable difussion in colab\nCN_tag_trans from URL"
]
| [
6,
15
]
| [
"passage: TAGS\n#region-us \n# stable difussion in colab\nCN_tag_trans from URL"
]
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|
b3379bed3ed60584faf541aa91b4b52bdd500239 | # Dataset Card for "sitcoms-lite_captioned-augmented"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | jlbaker361/sitcoms-lite_captioned-augmented | [
"region:us"
]
| 2023-04-03T08:14:15+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "src", "dtype": "string"}, {"name": "split", "dtype": "string"}, {"name": "id", "dtype": "int64"}, {"name": "caption", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 423306677.375, "num_examples": 1669}], "download_size": 423148766, "dataset_size": 423306677.375}} | 2023-04-03T08:14:29+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "sitcoms-lite_captioned-augmented"
More Information needed | [
"# Dataset Card for \"sitcoms-lite_captioned-augmented\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"sitcoms-lite_captioned-augmented\"\n\nMore Information needed"
]
| [
6,
23
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"sitcoms-lite_captioned-augmented\"\n\nMore Information needed"
]
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|
914a7b7aa0842a2b743a77193e68a34bd3b7c457 | # Dataset Card for "poses-controlnet-dataset"
The dataset was prepared using this Colab Notebook:
[](https://colab.research.google.com/github/huggingface/community-events/blob/main/jax-controlnet-sprint/dataset_tools/create_pose_dataset.ipynb) | sayakpaul/poses-controlnet-dataset | [
"region:us"
]
| 2023-04-03T10:18:31+00:00 | {"dataset_info": {"features": [{"name": "original_image", "dtype": "image"}, {"name": "condtioning_image", "dtype": "image"}, {"name": "overlaid", "dtype": "image"}, {"name": "caption", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 123997217.0, "num_examples": 496}], "download_size": 124012907, "dataset_size": 123997217.0}} | 2023-04-05T00:47:49+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "poses-controlnet-dataset"
The dataset was prepared using this Colab Notebook:
![Open In Colab](URL | [
"# Dataset Card for \"poses-controlnet-dataset\"\n\nThe dataset was prepared using this Colab Notebook:\n![Open In Colab](URL"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"poses-controlnet-dataset\"\n\nThe dataset was prepared using this Colab Notebook:\n![Open In Colab](URL"
]
| [
6,
35
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"poses-controlnet-dataset\"\n\nThe dataset was prepared using this Colab Notebook:\n![Open In Colab](URL"
]
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|
cc8b4115482332e824137c5e34440d2343adff5c | # Polpaca: The Polish Alpaca
Please find the model here: https://huggingface.co/mmosiolek/polpaca-lora-7b
This repository contains the polish translations of the datasets for constructing and evaluating instruction following models: Alpaca.
### Training
The following dataset was translated: https://github.com/gururise/AlpacaDataCleaned
It might be also found here: https://huggingface.co/datasets/yahma/alpaca-cleaned
For the translation process, I relied on GPT-3.5-Turbo and the free $18 credits granted by the OpenAI platform.
Unfortunately, the cost of the translation exceeded the amount granted, so I had to add $7 from my own pocket ;)
Although the translation was extremely cheap, it took 5 days to complete.
The following prompt was used for the translation based on: https://arxiv.org/abs/2301.08745
```
Please provide the Polish translation for these sentences: [TEXT]
```
### Manual Quality Assessment
For evaluation the self-instruct (https://github.com/yizhongw/self-instruct) evaluation dataset was translated.
This time with the help of DeepL that offers translation of 500K characters for free each month.
Unfortunately this approach has certain limitations related to the fact, that some tasks from the original datasets can't be simply
translated to another language. For example we can't propagate ortographic errors from one language to another.
It's necessary to keep it mind while manually reviewing the results. | mmosiolek/pl_alpaca_data_cleaned | [
"language:pl",
"license:cc-by-4.0",
"llama",
"alpaca",
"chat-gpt",
"self-instruct",
"gpt",
"arxiv:2301.08745",
"region:us"
]
| 2023-04-03T10:23:01+00:00 | {"language": ["pl"], "license": "cc-by-4.0", "tags": ["llama", "alpaca", "chat-gpt", "self-instruct", "gpt"]} | 2023-04-04T08:24:32+00:00 | [
"2301.08745"
]
| [
"pl"
]
| TAGS
#language-Polish #license-cc-by-4.0 #llama #alpaca #chat-gpt #self-instruct #gpt #arxiv-2301.08745 #region-us
| # Polpaca: The Polish Alpaca
Please find the model here: URL
This repository contains the polish translations of the datasets for constructing and evaluating instruction following models: Alpaca.
### Training
The following dataset was translated: URL
It might be also found here: URL
For the translation process, I relied on GPT-3.5-Turbo and the free $18 credits granted by the OpenAI platform.
Unfortunately, the cost of the translation exceeded the amount granted, so I had to add $7 from my own pocket ;)
Although the translation was extremely cheap, it took 5 days to complete.
The following prompt was used for the translation based on: URL
### Manual Quality Assessment
For evaluation the self-instruct (URL evaluation dataset was translated.
This time with the help of DeepL that offers translation of 500K characters for free each month.
Unfortunately this approach has certain limitations related to the fact, that some tasks from the original datasets can't be simply
translated to another language. For example we can't propagate ortographic errors from one language to another.
It's necessary to keep it mind while manually reviewing the results. | [
"# Polpaca: The Polish Alpaca\n\nPlease find the model here: URL\n\n\nThis repository contains the polish translations of the datasets for constructing and evaluating instruction following models: Alpaca.",
"### Training\nThe following dataset was translated: URL\nIt might be also found here: URL\n\n\nFor the translation process, I relied on GPT-3.5-Turbo and the free $18 credits granted by the OpenAI platform.\nUnfortunately, the cost of the translation exceeded the amount granted, so I had to add $7 from my own pocket ;) \nAlthough the translation was extremely cheap, it took 5 days to complete.\n\nThe following prompt was used for the translation based on: URL",
"### Manual Quality Assessment\nFor evaluation the self-instruct (URL evaluation dataset was translated. \nThis time with the help of DeepL that offers translation of 500K characters for free each month. \n\n\nUnfortunately this approach has certain limitations related to the fact, that some tasks from the original datasets can't be simply\ntranslated to another language. For example we can't propagate ortographic errors from one language to another. \nIt's necessary to keep it mind while manually reviewing the results."
]
| [
"TAGS\n#language-Polish #license-cc-by-4.0 #llama #alpaca #chat-gpt #self-instruct #gpt #arxiv-2301.08745 #region-us \n",
"# Polpaca: The Polish Alpaca\n\nPlease find the model here: URL\n\n\nThis repository contains the polish translations of the datasets for constructing and evaluating instruction following models: Alpaca.",
"### Training\nThe following dataset was translated: URL\nIt might be also found here: URL\n\n\nFor the translation process, I relied on GPT-3.5-Turbo and the free $18 credits granted by the OpenAI platform.\nUnfortunately, the cost of the translation exceeded the amount granted, so I had to add $7 from my own pocket ;) \nAlthough the translation was extremely cheap, it took 5 days to complete.\n\nThe following prompt was used for the translation based on: URL",
"### Manual Quality Assessment\nFor evaluation the self-instruct (URL evaluation dataset was translated. \nThis time with the help of DeepL that offers translation of 500K characters for free each month. \n\n\nUnfortunately this approach has certain limitations related to the fact, that some tasks from the original datasets can't be simply\ntranslated to another language. For example we can't propagate ortographic errors from one language to another. \nIt's necessary to keep it mind while manually reviewing the results."
]
| [
48,
47,
104,
110
]
| [
"passage: TAGS\n#language-Polish #license-cc-by-4.0 #llama #alpaca #chat-gpt #self-instruct #gpt #arxiv-2301.08745 #region-us \n# Polpaca: The Polish Alpaca\n\nPlease find the model here: URL\n\n\nThis repository contains the polish translations of the datasets for constructing and evaluating instruction following models: Alpaca.### Training\nThe following dataset was translated: URL\nIt might be also found here: URL\n\n\nFor the translation process, I relied on GPT-3.5-Turbo and the free $18 credits granted by the OpenAI platform.\nUnfortunately, the cost of the translation exceeded the amount granted, so I had to add $7 from my own pocket ;) \nAlthough the translation was extremely cheap, it took 5 days to complete.\n\nThe following prompt was used for the translation based on: URL### Manual Quality Assessment\nFor evaluation the self-instruct (URL evaluation dataset was translated. \nThis time with the help of DeepL that offers translation of 500K characters for free each month. \n\n\nUnfortunately this approach has certain limitations related to the fact, that some tasks from the original datasets can't be simply\ntranslated to another language. For example we can't propagate ortographic errors from one language to another. \nIt's necessary to keep it mind while manually reviewing the results."
]
| [
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|
8e245da64dc4f844a301120ee72d5d0254a7ed7f | # Dataset Card for "notebooks_on_the_hub_raw"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | davanstrien/notebooks_on_the_hub_raw | [
"region:us"
]
| 2023-04-03T11:41:41+00:00 | {"dataset_info": {"features": [{"name": "date", "dtype": "date32"}, {"name": "repo_type", "dtype": "large_string"}, {"name": "user", "dtype": "large_string"}, {"name": "repo_id", "dtype": "large_string"}, {"name": "repo_notebook_count", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 98080616, "num_examples": 1491372}], "download_size": 0, "dataset_size": 98080616}} | 2024-02-17T02:14:36+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "notebooks_on_the_hub_raw"
More Information needed | [
"# Dataset Card for \"notebooks_on_the_hub_raw\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"notebooks_on_the_hub_raw\"\n\nMore Information needed"
]
| [
6,
20
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"notebooks_on_the_hub_raw\"\n\nMore Information needed"
]
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|
6c7372396ac90d8efd7e19839e1a77c708d247c1 | Dataset Card for English Historical Quotes
# I-Dataset Summary
english_historical_quotes is a dataset of many historical quotes.
This dataset can be used for multi-label text classification and text generation. The content of each quote is in English.
# II-Supported Tasks and Leaderboards
Multi-label text classification : The dataset can be used to train a model for text-classification, which consists of classifying quotes by author as well as by topic (using tags). Success on this task is typically measured by achieving a high or low accuracy.
Text-generation : The dataset can be used to train a model to generate quotes by fine-tuning an existing pretrained model on the corpus composed of all quotes (or quotes by author).
# III-Languages
The texts in the dataset are in English (en).
# IV-Dataset Structure
Data Instances
A JSON-formatted example of a typical instance in the dataset:
{"quote":"Almost anyone can be an author the business is to collect money and fame from this state of being.",
"author":"A. A. Milne",
"categories": "['business', 'money']"
}
### Data Fields
author : The author of the quote.
quote : The text of the quote.
tags: The tags could be characterized as topics around the quote.
### Data Splits
The dataset is one block, so that it can be further processed using Hugging Face `datasets` functions like the ``.train_test_split() method.
# V-Dataset Creation
Curation Rationale
The goal is to share good datasets with the HuggingFace community so that they can use them in NLP tasks and advance artificial intelligence.
### Source Data
The data has been aggregated from various open-access internet archives. Then it has been manually refined, duplicates and false quotes removed by me.
It is the backbone of my website [dixit.app](http://dixit.app), which allows to search historical quotes through semantic search.
# VI-Additional Informations
Dataset Curators
Aymeric Roucher
Licensing Information
This work is licensed under a MIT License. | m-ric/english_historical_quotes | [
"task_categories:text-classification",
"task_categories:conversational",
"task_categories:fill-mask",
"size_categories:10K<n<100K",
"language:en",
"license:mit",
"history",
"philosophy",
"art",
"region:us"
]
| 2023-04-03T11:51:19+00:00 | {"language": ["en"], "license": "mit", "size_categories": ["10K<n<100K"], "task_categories": ["text-classification", "conversational", "fill-mask"], "pretty_name": "Historical Quotes - English", "tags": ["history", "philosophy", "art"]} | 2023-11-08T10:59:27+00:00 | []
| [
"en"
]
| TAGS
#task_categories-text-classification #task_categories-conversational #task_categories-fill-mask #size_categories-10K<n<100K #language-English #license-mit #history #philosophy #art #region-us
| Dataset Card for English Historical Quotes
# I-Dataset Summary
english_historical_quotes is a dataset of many historical quotes.
This dataset can be used for multi-label text classification and text generation. The content of each quote is in English.
# II-Supported Tasks and Leaderboards
Multi-label text classification : The dataset can be used to train a model for text-classification, which consists of classifying quotes by author as well as by topic (using tags). Success on this task is typically measured by achieving a high or low accuracy.
Text-generation : The dataset can be used to train a model to generate quotes by fine-tuning an existing pretrained model on the corpus composed of all quotes (or quotes by author).
# III-Languages
The texts in the dataset are in English (en).
# IV-Dataset Structure
Data Instances
A JSON-formatted example of a typical instance in the dataset:
{"quote":"Almost anyone can be an author the business is to collect money and fame from this state of being.",
"author":"A. A. Milne",
"categories": "['business', 'money']"
}
### Data Fields
author : The author of the quote.
quote : The text of the quote.
tags: The tags could be characterized as topics around the quote.
### Data Splits
The dataset is one block, so that it can be further processed using Hugging Face 'datasets' functions like the ''.train_test_split() method.
# V-Dataset Creation
Curation Rationale
The goal is to share good datasets with the HuggingFace community so that they can use them in NLP tasks and advance artificial intelligence.
### Source Data
The data has been aggregated from various open-access internet archives. Then it has been manually refined, duplicates and false quotes removed by me.
It is the backbone of my website URL, which allows to search historical quotes through semantic search.
# VI-Additional Informations
Dataset Curators
Aymeric Roucher
Licensing Information
This work is licensed under a MIT License. | [
"# I-Dataset Summary\n\nenglish_historical_quotes is a dataset of many historical quotes.\nThis dataset can be used for multi-label text classification and text generation. The content of each quote is in English.",
"# II-Supported Tasks and Leaderboards\n\n Multi-label text classification : The dataset can be used to train a model for text-classification, which consists of classifying quotes by author as well as by topic (using tags). Success on this task is typically measured by achieving a high or low accuracy.\n Text-generation : The dataset can be used to train a model to generate quotes by fine-tuning an existing pretrained model on the corpus composed of all quotes (or quotes by author).",
"# III-Languages\n\nThe texts in the dataset are in English (en).",
"# IV-Dataset Structure\nData Instances\n\nA JSON-formatted example of a typical instance in the dataset:\n\n {\"quote\":\"Almost anyone can be an author the business is to collect money and fame from this state of being.\",\n\"author\":\"A. A. Milne\",\n\"categories\": \"['business', 'money']\"\n}",
"### Data Fields\n\n author : The author of the quote.\n quote : The text of the quote.\n tags: The tags could be characterized as topics around the quote.",
"### Data Splits\n\nThe dataset is one block, so that it can be further processed using Hugging Face 'datasets' functions like the ''.train_test_split() method.",
"# V-Dataset Creation\nCuration Rationale\n\nThe goal is to share good datasets with the HuggingFace community so that they can use them in NLP tasks and advance artificial intelligence.",
"### Source Data\n\nThe data has been aggregated from various open-access internet archives. Then it has been manually refined, duplicates and false quotes removed by me.\n\nIt is the backbone of my website URL, which allows to search historical quotes through semantic search.",
"# VI-Additional Informations\nDataset Curators\n\nAymeric Roucher\n\nLicensing Information\nThis work is licensed under a MIT License."
]
| [
"TAGS\n#task_categories-text-classification #task_categories-conversational #task_categories-fill-mask #size_categories-10K<n<100K #language-English #license-mit #history #philosophy #art #region-us \n",
"# I-Dataset Summary\n\nenglish_historical_quotes is a dataset of many historical quotes.\nThis dataset can be used for multi-label text classification and text generation. The content of each quote is in English.",
"# II-Supported Tasks and Leaderboards\n\n Multi-label text classification : The dataset can be used to train a model for text-classification, which consists of classifying quotes by author as well as by topic (using tags). Success on this task is typically measured by achieving a high or low accuracy.\n Text-generation : The dataset can be used to train a model to generate quotes by fine-tuning an existing pretrained model on the corpus composed of all quotes (or quotes by author).",
"# III-Languages\n\nThe texts in the dataset are in English (en).",
"# IV-Dataset Structure\nData Instances\n\nA JSON-formatted example of a typical instance in the dataset:\n\n {\"quote\":\"Almost anyone can be an author the business is to collect money and fame from this state of being.\",\n\"author\":\"A. A. Milne\",\n\"categories\": \"['business', 'money']\"\n}",
"### Data Fields\n\n author : The author of the quote.\n quote : The text of the quote.\n tags: The tags could be characterized as topics around the quote.",
"### Data Splits\n\nThe dataset is one block, so that it can be further processed using Hugging Face 'datasets' functions like the ''.train_test_split() method.",
"# V-Dataset Creation\nCuration Rationale\n\nThe goal is to share good datasets with the HuggingFace community so that they can use them in NLP tasks and advance artificial intelligence.",
"### Source Data\n\nThe data has been aggregated from various open-access internet archives. Then it has been manually refined, duplicates and false quotes removed by me.\n\nIt is the backbone of my website URL, which allows to search historical quotes through semantic search.",
"# VI-Additional Informations\nDataset Curators\n\nAymeric Roucher\n\nLicensing Information\nThis work is licensed under a MIT License."
]
| [
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| [
"passage: TAGS\n#task_categories-text-classification #task_categories-conversational #task_categories-fill-mask #size_categories-10K<n<100K #language-English #license-mit #history #philosophy #art #region-us \n# I-Dataset Summary\n\nenglish_historical_quotes is a dataset of many historical quotes.\nThis dataset can be used for multi-label text classification and text generation. The content of each quote is in English.# II-Supported Tasks and Leaderboards\n\n Multi-label text classification : The dataset can be used to train a model for text-classification, which consists of classifying quotes by author as well as by topic (using tags). Success on this task is typically measured by achieving a high or low accuracy.\n Text-generation : The dataset can be used to train a model to generate quotes by fine-tuning an existing pretrained model on the corpus composed of all quotes (or quotes by author).# III-Languages\n\nThe texts in the dataset are in English (en).# IV-Dataset Structure\nData Instances\n\nA JSON-formatted example of a typical instance in the dataset:\n\n {\"quote\":\"Almost anyone can be an author the business is to collect money and fame from this state of being.\",\n\"author\":\"A. A. Milne\",\n\"categories\": \"['business', 'money']\"\n}### Data Fields\n\n author : The author of the quote.\n quote : The text of the quote.\n tags: The tags could be characterized as topics around the quote.### Data Splits\n\nThe dataset is one block, so that it can be further processed using Hugging Face 'datasets' functions like the ''.train_test_split() method.# V-Dataset Creation\nCuration Rationale\n\nThe goal is to share good datasets with the HuggingFace community so that they can use them in NLP tasks and advance artificial intelligence."
]
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|
9d5e52b0ac6f70dc062a8629a5111b7cf3002196 | # Dataset Card for "oscar_sanity"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | teven/oscar_sanity | [
"region:us"
]
| 2023-04-03T12:47:56+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int64"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 107061941, "num_examples": 7900}], "download_size": 63545141, "dataset_size": 107061941}} | 2023-04-03T12:50:45+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "oscar_sanity"
More Information needed | [
"# Dataset Card for \"oscar_sanity\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"oscar_sanity\"\n\nMore Information needed"
]
| [
6,
15
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"oscar_sanity\"\n\nMore Information needed"
]
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|
ff554313c2cc3bad6097b8f0017515558dc5e6c3 | # Dataset Card for "enwiki_10k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | teven/enwiki_10k | [
"region:us"
]
| 2023-04-03T13:00:46+00:00 | {"dataset_info": {"features": [{"name": "metadata", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "id", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 25120962, "num_examples": 10000}], "download_size": 15208428, "dataset_size": 25120962}} | 2023-04-03T13:00:51+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "enwiki_10k"
More Information needed | [
"# Dataset Card for \"enwiki_10k\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"enwiki_10k\"\n\nMore Information needed"
]
| [
6,
15
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"enwiki_10k\"\n\nMore Information needed"
]
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|
bdb70eaef2baf65f428d8afe55ec5e5bd5bd9998 |
# Ukrainian StackExchange Dataset
This repository contains a dataset collected from the Ukrainian StackExchange website.
The parsed date is 02/04/2023.
The dataset is in JSON format and includes text data parsed from the website https://ukrainian.stackexchange.com/.
## Dataset Description
The Ukrainian StackExchange Dataset is a rich source of text data for tasks related to natural language processing, machine learning, and data mining in the Ukrainian language. The dataset contains information such as questions, answers, comments, and associated metadata from the website.
The data has been collected from the following sections of the Ukrainian StackExchange website:
Questions
Answers
Tags
Votes
## Structure
The dataset is structured as follows:
- `question`: Contains information about the question
- `id`: Unique identifier for the question
- `title`: Title of the question
- `text`: Text content of the question
- `upvoteCount`: The net upvote count of the question
- `tags`: List of tags associated with the question
- `answers`: A list of answers for the question, each containing:
- `id`: Unique identifier for the answer
- `text`: Text content of the answer
- `upvoteCount`: The net upvote count of the answer
- `isAccepted`: A boolean value indicating whether the answer is accepted or not
- `url`: The URL of the question on the Ukrainian StackExchange website
## Usage
To use this dataset in your project, you can load it from the Hugging Face Hub:
```python
from datasets import load_dataset
dataset = load_dataset("zeusfsx/ukrainian-stackexchange")
```
## License
This dataset is provided under the Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) License. | zeusfsx/ukrainian-stackexchange | [
"task_categories:question-answering",
"size_categories:1K<n<10K",
"language:uk",
"license:cc-by-sa-4.0",
"region:us"
]
| 2023-04-03T13:01:10+00:00 | {"language": ["uk"], "license": "cc-by-sa-4.0", "size_categories": ["1K<n<10K"], "task_categories": ["question-answering"]} | 2023-04-03T14:11:40+00:00 | []
| [
"uk"
]
| TAGS
#task_categories-question-answering #size_categories-1K<n<10K #language-Ukrainian #license-cc-by-sa-4.0 #region-us
|
# Ukrainian StackExchange Dataset
This repository contains a dataset collected from the Ukrainian StackExchange website.
The parsed date is 02/04/2023.
The dataset is in JSON format and includes text data parsed from the website URL
## Dataset Description
The Ukrainian StackExchange Dataset is a rich source of text data for tasks related to natural language processing, machine learning, and data mining in the Ukrainian language. The dataset contains information such as questions, answers, comments, and associated metadata from the website.
The data has been collected from the following sections of the Ukrainian StackExchange website:
Questions
Answers
Tags
Votes
## Structure
The dataset is structured as follows:
- 'question': Contains information about the question
- 'id': Unique identifier for the question
- 'title': Title of the question
- 'text': Text content of the question
- 'upvoteCount': The net upvote count of the question
- 'tags': List of tags associated with the question
- 'answers': A list of answers for the question, each containing:
- 'id': Unique identifier for the answer
- 'text': Text content of the answer
- 'upvoteCount': The net upvote count of the answer
- 'isAccepted': A boolean value indicating whether the answer is accepted or not
- 'url': The URL of the question on the Ukrainian StackExchange website
## Usage
To use this dataset in your project, you can load it from the Hugging Face Hub:
## License
This dataset is provided under the Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) License. | [
"# Ukrainian StackExchange Dataset\n\nThis repository contains a dataset collected from the Ukrainian StackExchange website.\nThe parsed date is 02/04/2023.\nThe dataset is in JSON format and includes text data parsed from the website URL",
"## Dataset Description\n\nThe Ukrainian StackExchange Dataset is a rich source of text data for tasks related to natural language processing, machine learning, and data mining in the Ukrainian language. The dataset contains information such as questions, answers, comments, and associated metadata from the website.\n\nThe data has been collected from the following sections of the Ukrainian StackExchange website:\n\nQuestions\nAnswers\nTags\nVotes",
"## Structure\n\nThe dataset is structured as follows:\n\n - 'question': Contains information about the question\n - 'id': Unique identifier for the question\n - 'title': Title of the question\n - 'text': Text content of the question\n - 'upvoteCount': The net upvote count of the question\n - 'tags': List of tags associated with the question\n - 'answers': A list of answers for the question, each containing:\n - 'id': Unique identifier for the answer\n - 'text': Text content of the answer\n - 'upvoteCount': The net upvote count of the answer\n - 'isAccepted': A boolean value indicating whether the answer is accepted or not\n - 'url': The URL of the question on the Ukrainian StackExchange website",
"## Usage\n\nTo use this dataset in your project, you can load it from the Hugging Face Hub:",
"## License\n\nThis dataset is provided under the Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) License."
]
| [
"TAGS\n#task_categories-question-answering #size_categories-1K<n<10K #language-Ukrainian #license-cc-by-sa-4.0 #region-us \n",
"# Ukrainian StackExchange Dataset\n\nThis repository contains a dataset collected from the Ukrainian StackExchange website.\nThe parsed date is 02/04/2023.\nThe dataset is in JSON format and includes text data parsed from the website URL",
"## Dataset Description\n\nThe Ukrainian StackExchange Dataset is a rich source of text data for tasks related to natural language processing, machine learning, and data mining in the Ukrainian language. The dataset contains information such as questions, answers, comments, and associated metadata from the website.\n\nThe data has been collected from the following sections of the Ukrainian StackExchange website:\n\nQuestions\nAnswers\nTags\nVotes",
"## Structure\n\nThe dataset is structured as follows:\n\n - 'question': Contains information about the question\n - 'id': Unique identifier for the question\n - 'title': Title of the question\n - 'text': Text content of the question\n - 'upvoteCount': The net upvote count of the question\n - 'tags': List of tags associated with the question\n - 'answers': A list of answers for the question, each containing:\n - 'id': Unique identifier for the answer\n - 'text': Text content of the answer\n - 'upvoteCount': The net upvote count of the answer\n - 'isAccepted': A boolean value indicating whether the answer is accepted or not\n - 'url': The URL of the question on the Ukrainian StackExchange website",
"## Usage\n\nTo use this dataset in your project, you can load it from the Hugging Face Hub:",
"## License\n\nThis dataset is provided under the Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) License."
]
| [
48,
58,
94,
187,
23,
25
]
| [
"passage: TAGS\n#task_categories-question-answering #size_categories-1K<n<10K #language-Ukrainian #license-cc-by-sa-4.0 #region-us \n# Ukrainian StackExchange Dataset\n\nThis repository contains a dataset collected from the Ukrainian StackExchange website.\nThe parsed date is 02/04/2023.\nThe dataset is in JSON format and includes text data parsed from the website URL## Dataset Description\n\nThe Ukrainian StackExchange Dataset is a rich source of text data for tasks related to natural language processing, machine learning, and data mining in the Ukrainian language. The dataset contains information such as questions, answers, comments, and associated metadata from the website.\n\nThe data has been collected from the following sections of the Ukrainian StackExchange website:\n\nQuestions\nAnswers\nTags\nVotes## Structure\n\nThe dataset is structured as follows:\n\n - 'question': Contains information about the question\n - 'id': Unique identifier for the question\n - 'title': Title of the question\n - 'text': Text content of the question\n - 'upvoteCount': The net upvote count of the question\n - 'tags': List of tags associated with the question\n - 'answers': A list of answers for the question, each containing:\n - 'id': Unique identifier for the answer\n - 'text': Text content of the answer\n - 'upvoteCount': The net upvote count of the answer\n - 'isAccepted': A boolean value indicating whether the answer is accepted or not\n - 'url': The URL of the question on the Ukrainian StackExchange website## Usage\n\nTo use this dataset in your project, you can load it from the Hugging Face Hub:## License\n\nThis dataset is provided under the Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) License."
]
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|
8b30f9e08c5d2e269c0e19077b51a93bfffd0b15 |
# Dataset Card for UWB-ATCC corpus
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages and Other Details](#languages-and-other-details)
- [Dataset Structure](#dataset-structure)
- [Data Fields](#data-fields)
- [Additional Information](#additional-information)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
## Dataset Description
- **Homepage:** [UWB-ATCC corpus homepage](https://lindat.mff.cuni.cz/repository/xmlui/handle/11858/00-097C-0000-0001-CCA1-0)
- **Repository:** [GitHub repository (used in research)](https://github.com/idiap/w2v2-air-traffic)
- **Paper:** [Air traffic control communication (ATCC) speech corpora and their use for ASR and TTS development](https://link.springer.com/article/10.1007/s10579-019-09449-5)
- **Paper of this research:** [How Does Pre-trained Wav2Vec 2.0 Perform on Domain Shifted ASR? An Extensive Benchmark on Air Traffic Control Communications](https://arxiv.org/abs/2203.16822)
### Dataset Summary
The UWB-ATCC Corpus is provided provided by University of West Bohemia, Department of Cybernetics. The corpus contains recordings of communication between air traffic controllers and pilots. The speech is manually transcribed and labeled with the information about the speaker (pilot/controller, not the full identity of the person). The corpus is currently small (20 hours) but we plan to search for additional data next year. The audio data format is: 8kHz, 16bit PCM, mono.
Important, from the `<id (string)>` field, you can obtain the speaker roles. For instance:
- `_PI`: segment with only pilot speech
- `_AT`: segment with only ATCO speech
- `PIAT`: segment with both, ATCO and pilot speech
### Supported Tasks and Leaderboards
- `automatic-speech-recognition`. Already adapted/fine-tuned models are available here --> [XLS-R-300m](https://huggingface.co/Jzuluaga/wav2vec2-large-960h-lv60-self-en-atc-atcosim).
### Languages and other details
The text and the recordings are in English. The authors took advantage of the fact that one of their industrial partners develops complex IT solutions for several ATC authorities and airports and, as such, has access to the ATC communication recordings collected in the Czech airspace. This partner was able to secure the following data:
- Ground control—communication before takeoff and after landing—19.2 h of data.
- Tower control—communication during takeoff, landing and landing standby—22.5 h.
- Approach control—communication during landing approach—25.5 h.
- Area control—communication during overflights and cruises—71.3 h.
(Not all data is released. Check their website [here](https://lindat.mff.cuni.cz/repository/xmlui/handle/11858/00-097C-0000-0001-CCA1-0))
## Dataset Structure
### Data Fields
- `id (string)`: a string of recording identifier for each example, corresponding to its.
- `audio (audio)`: audio data for the given ID
- `text (string)`: transcript of the file already normalized. Follow these repositories for more details [w2v2-air-traffic](https://github.com/idiap/w2v2-air-traffic) and [bert-text-diarization-atc](https://github.com/idiap/bert-text-diarization-atc)
- `segment_start_time (float32)`: segment start time (normally 0)
- `segment_end_time (float32): segment end time
- `duration (float32)`: duration of the recording, compute as segment_end_time - segment_start_time
## Additional Information
### Licensing Information
The licensing status of the dataset hinges on the legal status of the [UWB-ATCC corpus](https://lindat.mff.cuni.cz/repository/xmlui/handle/11858/00-097C-0000-0001-CCA1-0) creators.
They used [Creative Commons - Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)](https://creativecommons.org/licenses/by-nc-sa/4.0/) licensing.
### Citation Information
Contributors who prepared, processed, normalized and uploaded the dataset in HuggingFace:
```
@article{zuluaga2022how,
title={How Does Pre-trained Wav2Vec2. 0 Perform on Domain Shifted ASR? An Extensive Benchmark on Air Traffic Control Communications},
author={Zuluaga-Gomez, Juan and Prasad, Amrutha and Nigmatulina, Iuliia and Sarfjoo, Saeed and others},
journal={IEEE Spoken Language Technology Workshop (SLT), Doha, Qatar},
year={2022}
}
@article{zuluaga2022bertraffic,
title={BERTraffic: BERT-based Joint Speaker Role and Speaker Change Detection for Air Traffic Control Communications},
author={Zuluaga-Gomez, Juan and Sarfjoo, Seyyed Saeed and Prasad, Amrutha and others},
journal={IEEE Spoken Language Technology Workshop (SLT), Doha, Qatar},
year={2022}
}
@article{zuluaga2022atco2,
title={ATCO2 corpus: A Large-Scale Dataset for Research on Automatic Speech Recognition and Natural Language Understanding of Air Traffic Control Communications},
author={Zuluaga-Gomez, Juan and Vesel{\`y}, Karel and Sz{\"o}ke, Igor and Motlicek, Petr and others},
journal={arXiv preprint arXiv:2211.04054},
year={2022}
}
```
Authors of the dataset:
```
@article{vsmidl2019air,
title={Air traffic control communication (ATCC) speech corpora and their use for ASR and TTS development},
author={{\v{S}}m{\'\i}dl, Lubo{\v{s}} and {\v{S}}vec, Jan and Tihelka, Daniel and Matou{\v{s}}ek, Jind{\v{r}}ich and Romportl, Jan and Ircing, Pavel},
journal={Language Resources and Evaluation},
volume={53},
number={3},
pages={449--464},
year={2019},
publisher={Springer}
}
``` | Shiry/ATC_combined | [
"task_categories:automatic-speech-recognition",
"multilinguality:monolingual",
"language:en",
"license:cc-by-nc-sa-4.0",
"audio",
"automatic-speech-recognition",
"en-atc",
"en",
"noisy-speech-recognition",
"speech-recognition",
"arxiv:2203.16822",
"region:us"
]
| 2023-04-03T14:10:47+00:00 | {"language": ["en"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["monolingual"], "task_categories": ["automatic-speech-recognition"], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "text", "dtype": "string"}, {"name": "segment_start_time", "dtype": "float32"}, {"name": "segment_end_time", "dtype": "float32"}, {"name": "duration", "dtype": "float32"}], "splits": [{"name": "test", "num_bytes": 612270626, "num_examples": 4723}, {"name": "train", "num_bytes": 2543440112, "num_examples": 18929}]}, "tags": ["audio", "automatic-speech-recognition", "en-atc", "en", "noisy-speech-recognition", "speech-recognition"]} | 2023-04-04T07:14:06+00:00 | [
"2203.16822"
]
| [
"en"
]
| TAGS
#task_categories-automatic-speech-recognition #multilinguality-monolingual #language-English #license-cc-by-nc-sa-4.0 #audio #automatic-speech-recognition #en-atc #en #noisy-speech-recognition #speech-recognition #arxiv-2203.16822 #region-us
|
# Dataset Card for UWB-ATCC corpus
## Table of Contents
- Dataset Description
- Dataset Summary
- Supported Tasks and Leaderboards
- Languages and Other Details
- Dataset Structure
- Data Fields
- Additional Information
- Licensing Information
- Citation Information
## Dataset Description
- Homepage: UWB-ATCC corpus homepage
- Repository: GitHub repository (used in research)
- Paper: Air traffic control communication (ATCC) speech corpora and their use for ASR and TTS development
- Paper of this research: How Does Pre-trained Wav2Vec 2.0 Perform on Domain Shifted ASR? An Extensive Benchmark on Air Traffic Control Communications
### Dataset Summary
The UWB-ATCC Corpus is provided provided by University of West Bohemia, Department of Cybernetics. The corpus contains recordings of communication between air traffic controllers and pilots. The speech is manually transcribed and labeled with the information about the speaker (pilot/controller, not the full identity of the person). The corpus is currently small (20 hours) but we plan to search for additional data next year. The audio data format is: 8kHz, 16bit PCM, mono.
Important, from the '<id (string)>' field, you can obtain the speaker roles. For instance:
- '_PI': segment with only pilot speech
- '_AT': segment with only ATCO speech
- 'PIAT': segment with both, ATCO and pilot speech
### Supported Tasks and Leaderboards
- 'automatic-speech-recognition'. Already adapted/fine-tuned models are available here --> XLS-R-300m.
### Languages and other details
The text and the recordings are in English. The authors took advantage of the fact that one of their industrial partners develops complex IT solutions for several ATC authorities and airports and, as such, has access to the ATC communication recordings collected in the Czech airspace. This partner was able to secure the following data:
- Ground control—communication before takeoff and after landing—19.2 h of data.
- Tower control—communication during takeoff, landing and landing standby—22.5 h.
- Approach control—communication during landing approach—25.5 h.
- Area control—communication during overflights and cruises—71.3 h.
(Not all data is released. Check their website here)
## Dataset Structure
### Data Fields
- 'id (string)': a string of recording identifier for each example, corresponding to its.
- 'audio (audio)': audio data for the given ID
- 'text (string)': transcript of the file already normalized. Follow these repositories for more details w2v2-air-traffic and bert-text-diarization-atc
- 'segment_start_time (float32)': segment start time (normally 0)
- 'segment_end_time (float32): segment end time
- 'duration (float32)': duration of the recording, compute as segment_end_time - segment_start_time
## Additional Information
### Licensing Information
The licensing status of the dataset hinges on the legal status of the UWB-ATCC corpus creators.
They used Creative Commons - Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) licensing.
Contributors who prepared, processed, normalized and uploaded the dataset in HuggingFace:
Authors of the dataset:
| [
"# Dataset Card for UWB-ATCC corpus",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages and Other Details\n- Dataset Structure\n - Data Fields\n- Additional Information\n - Licensing Information\n - Citation Information",
"## Dataset Description \n- Homepage: UWB-ATCC corpus homepage\n- Repository: GitHub repository (used in research)\n- Paper: Air traffic control communication (ATCC) speech corpora and their use for ASR and TTS development\n- Paper of this research: How Does Pre-trained Wav2Vec 2.0 Perform on Domain Shifted ASR? An Extensive Benchmark on Air Traffic Control Communications",
"### Dataset Summary\n\nThe UWB-ATCC Corpus is provided provided by University of West Bohemia, Department of Cybernetics. The corpus contains recordings of communication between air traffic controllers and pilots. The speech is manually transcribed and labeled with the information about the speaker (pilot/controller, not the full identity of the person). The corpus is currently small (20 hours) but we plan to search for additional data next year. The audio data format is: 8kHz, 16bit PCM, mono.\n\nImportant, from the '<id (string)>' field, you can obtain the speaker roles. For instance:\n- '_PI': segment with only pilot speech\n- '_AT': segment with only ATCO speech\n- 'PIAT': segment with both, ATCO and pilot speech",
"### Supported Tasks and Leaderboards\n\n- 'automatic-speech-recognition'. Already adapted/fine-tuned models are available here --> XLS-R-300m.",
"### Languages and other details\n\nThe text and the recordings are in English. The authors took advantage of the fact that one of their industrial partners develops complex IT solutions for several ATC authorities and airports and, as such, has access to the ATC communication recordings collected in the Czech airspace. This partner was able to secure the following data:\n\n- Ground control—communication before takeoff and after landing—19.2 h of data.\n- Tower control—communication during takeoff, landing and landing standby—22.5 h.\n- Approach control—communication during landing approach—25.5 h.\n- Area control—communication during overflights and cruises—71.3 h.\n\n(Not all data is released. Check their website here)",
"## Dataset Structure",
"### Data Fields\n\n- 'id (string)': a string of recording identifier for each example, corresponding to its.\n- 'audio (audio)': audio data for the given ID\n- 'text (string)': transcript of the file already normalized. Follow these repositories for more details w2v2-air-traffic and bert-text-diarization-atc\n- 'segment_start_time (float32)': segment start time (normally 0)\n- 'segment_end_time (float32): segment end time\n- 'duration (float32)': duration of the recording, compute as segment_end_time - segment_start_time",
"## Additional Information",
"### Licensing Information\n\nThe licensing status of the dataset hinges on the legal status of the UWB-ATCC corpus creators.\n\nThey used Creative Commons - Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) licensing.\n\n\n\nContributors who prepared, processed, normalized and uploaded the dataset in HuggingFace:\n\n\n\nAuthors of the dataset:"
]
| [
"TAGS\n#task_categories-automatic-speech-recognition #multilinguality-monolingual #language-English #license-cc-by-nc-sa-4.0 #audio #automatic-speech-recognition #en-atc #en #noisy-speech-recognition #speech-recognition #arxiv-2203.16822 #region-us \n",
"# Dataset Card for UWB-ATCC corpus",
"## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages and Other Details\n- Dataset Structure\n - Data Fields\n- Additional Information\n - Licensing Information\n - Citation Information",
"## Dataset Description \n- Homepage: UWB-ATCC corpus homepage\n- Repository: GitHub repository (used in research)\n- Paper: Air traffic control communication (ATCC) speech corpora and their use for ASR and TTS development\n- Paper of this research: How Does Pre-trained Wav2Vec 2.0 Perform on Domain Shifted ASR? An Extensive Benchmark on Air Traffic Control Communications",
"### Dataset Summary\n\nThe UWB-ATCC Corpus is provided provided by University of West Bohemia, Department of Cybernetics. The corpus contains recordings of communication between air traffic controllers and pilots. The speech is manually transcribed and labeled with the information about the speaker (pilot/controller, not the full identity of the person). The corpus is currently small (20 hours) but we plan to search for additional data next year. The audio data format is: 8kHz, 16bit PCM, mono.\n\nImportant, from the '<id (string)>' field, you can obtain the speaker roles. For instance:\n- '_PI': segment with only pilot speech\n- '_AT': segment with only ATCO speech\n- 'PIAT': segment with both, ATCO and pilot speech",
"### Supported Tasks and Leaderboards\n\n- 'automatic-speech-recognition'. Already adapted/fine-tuned models are available here --> XLS-R-300m.",
"### Languages and other details\n\nThe text and the recordings are in English. The authors took advantage of the fact that one of their industrial partners develops complex IT solutions for several ATC authorities and airports and, as such, has access to the ATC communication recordings collected in the Czech airspace. This partner was able to secure the following data:\n\n- Ground control—communication before takeoff and after landing—19.2 h of data.\n- Tower control—communication during takeoff, landing and landing standby—22.5 h.\n- Approach control—communication during landing approach—25.5 h.\n- Area control—communication during overflights and cruises—71.3 h.\n\n(Not all data is released. Check their website here)",
"## Dataset Structure",
"### Data Fields\n\n- 'id (string)': a string of recording identifier for each example, corresponding to its.\n- 'audio (audio)': audio data for the given ID\n- 'text (string)': transcript of the file already normalized. Follow these repositories for more details w2v2-air-traffic and bert-text-diarization-atc\n- 'segment_start_time (float32)': segment start time (normally 0)\n- 'segment_end_time (float32): segment end time\n- 'duration (float32)': duration of the recording, compute as segment_end_time - segment_start_time",
"## Additional Information",
"### Licensing Information\n\nThe licensing status of the dataset hinges on the legal status of the UWB-ATCC corpus creators.\n\nThey used Creative Commons - Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) licensing.\n\n\n\nContributors who prepared, processed, normalized and uploaded the dataset in HuggingFace:\n\n\n\nAuthors of the dataset:"
]
| [
93,
11,
53,
94,
175,
45,
159,
6,
158,
5,
90
]
| [
"passage: TAGS\n#task_categories-automatic-speech-recognition #multilinguality-monolingual #language-English #license-cc-by-nc-sa-4.0 #audio #automatic-speech-recognition #en-atc #en #noisy-speech-recognition #speech-recognition #arxiv-2203.16822 #region-us \n# Dataset Card for UWB-ATCC corpus## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages and Other Details\n- Dataset Structure\n - Data Fields\n- Additional Information\n - Licensing Information\n - Citation Information## Dataset Description \n- Homepage: UWB-ATCC corpus homepage\n- Repository: GitHub repository (used in research)\n- Paper: Air traffic control communication (ATCC) speech corpora and their use for ASR and TTS development\n- Paper of this research: How Does Pre-trained Wav2Vec 2.0 Perform on Domain Shifted ASR? An Extensive Benchmark on Air Traffic Control Communications### Dataset Summary\n\nThe UWB-ATCC Corpus is provided provided by University of West Bohemia, Department of Cybernetics. The corpus contains recordings of communication between air traffic controllers and pilots. The speech is manually transcribed and labeled with the information about the speaker (pilot/controller, not the full identity of the person). The corpus is currently small (20 hours) but we plan to search for additional data next year. The audio data format is: 8kHz, 16bit PCM, mono.\n\nImportant, from the '<id (string)>' field, you can obtain the speaker roles. For instance:\n- '_PI': segment with only pilot speech\n- '_AT': segment with only ATCO speech\n- 'PIAT': segment with both, ATCO and pilot speech### Supported Tasks and Leaderboards\n\n- 'automatic-speech-recognition'. Already adapted/fine-tuned models are available here --> XLS-R-300m."
]
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]
|
ba95b253e621f66388e0d7be3f80aaf71b51e7d4 | # Dataset Card for "natural-instructions-tokenized"
Here is the script used to tokenize the dataset:
```python
import multiprocessing
from typing import Union
from datasets import DatasetDict, load_dataset
from transformers import LlamaTokenizer
# Find your available cores
num_cores = multiprocessing.cpu_count()
cutoff_len = 2048
tokenizer = LlamaTokenizer.from_pretrained("chainyo/alpaca-lora-7b")
tokenizer.padding_side = "left"
tokenizer.pad_token_id = (0)
prompt_template = {
"prompt": "### Instruction:\n{instruction}\n\n### Input:\n{input}\n\n### Response:\n",
"response": "### Response:"
}
class Prompter(object):
__slots__ = ("template", "_verbose")
def __init__(self, verbose: bool = False):
self._verbose = verbose
def generate_prompt(
self,
definition: str,
inputs: str,
targets: Union[None, str] = None,
) -> str:
"""Generate a prompt from instruction and input."""
res = prompt_template["prompt"].format(
instruction=definition, input=inputs
)
if targets:
res = f"{res}{targets}"
return res
def get_response(self, output: str) -> str:
return output.split(self.template["response"])[1].strip()
prompter = Prompter()
def tokenize(prompt, add_eos_token=True):
# there's probably a way to do this with the tokenizer settings
# but again, gotta move fast
result = tokenizer(
prompt,
truncation=True,
max_length=cutoff_len,
padding=False,
return_tensors=None,
)
if (
result["input_ids"][-1] != tokenizer.eos_token_id
and len(result["input_ids"]) < cutoff_len
and add_eos_token
):
result["input_ids"].append(tokenizer.eos_token_id)
result["attention_mask"].append(1)
result["labels"] = result["input_ids"].copy()
return result
def generate_and_tokenize_prompt(data_point):
full_prompt = prompter.generate_prompt(
data_point["definition"],
data_point["inputs"],
data_point["targets"],
)
tokenized_full_prompt = tokenize(full_prompt)
return tokenized_full_prompt
data_path = "Muennighoff/natural-instructions"
data = load_dataset(data_path)
train_data = data["train"].shuffle().map(generate_and_tokenize_prompt, num_proc=num_cores)
val_data = data["validation"].map(generate_and_tokenize_prompt, num_proc=num_cores)
test_data = data["test"].map(generate_and_tokenize_prompt, num_proc=num_cores)
tokenized_dataset = DatasetDict({"train": train_data, "validation": val_data, "test": test_data})
tokenized_dataset.save_to_disk("natural-instructions-tokenized")
``` | chainyo/natural-instructions-tokenized | [
"region:us"
]
| 2023-04-03T14:15:32+00:00 | {"dataset_info": {"features": [{"name": "task_name", "dtype": "string"}, {"name": "id", "dtype": "string"}, {"name": "definition", "dtype": "string"}, {"name": "inputs", "dtype": "string"}, {"name": "targets", "dtype": "string"}, {"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 30103878026, "num_examples": 6164188}, {"name": "validation", "num_bytes": 10504992, "num_examples": 5995}, {"name": "test", "num_bytes": 3937289042, "num_examples": 982285}], "download_size": 10233494905, "dataset_size": 34051672060}} | 2023-04-07T08:38:05+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "natural-instructions-tokenized"
Here is the script used to tokenize the dataset:
| [
"# Dataset Card for \"natural-instructions-tokenized\"\n\nHere is the script used to tokenize the dataset:"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"natural-instructions-tokenized\"\n\nHere is the script used to tokenize the dataset:"
]
| [
6,
28
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"natural-instructions-tokenized\"\n\nHere is the script used to tokenize the dataset:"
]
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|
fe4b8b350080a2628d69de8eaf6daffe9fd88864 | # Dataset Card for "test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | svenschultze/test | [
"region:us"
]
| 2023-04-03T14:19:46+00:00 | {"dataset_info": {"features": [{"name": "INSTRUCTION", "dtype": "string"}, {"name": "RESPONSE", "dtype": "string"}, {"name": "SOURCE", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 47780, "num_examples": 1000}], "download_size": 14311, "dataset_size": 47780}} | 2023-04-03T14:19:51+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "test"
More Information needed | [
"# Dataset Card for \"test\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"test\"\n\nMore Information needed"
]
| [
6,
11
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"test\"\n\nMore Information needed"
]
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|
426dd1694df48b6676eb272c90d547557d10c927 | # Dataset Card for "sotu"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | sidd2112/sotu | [
"region:us"
]
| 2023-04-03T14:34:40+00:00 | {"dataset_info": {"features": [{"name": "filename", "dtype": "string"}, {"name": "speaker", "dtype": "string"}, {"name": "sentences", "sequence": "string"}], "splits": [{"name": "train", "num_bytes": 53957, "num_examples": 65}], "download_size": 23593, "dataset_size": 53957}} | 2023-04-03T14:34:47+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "sotu"
More Information needed | [
"# Dataset Card for \"sotu\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"sotu\"\n\nMore Information needed"
]
| [
6,
12
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"sotu\"\n\nMore Information needed"
]
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|
ac83d6072256a0ba70f4470e4c0af9c94b735ae8 | # Dataset Card for "en_th_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | Shularp/en_th_dataset | [
"region:us"
]
| 2023-04-03T14:46:30+00:00 | {"dataset_info": {"features": [{"name": "en", "dtype": "string"}, {"name": "th", "dtype": "string"}, {"name": "origin", "dtype": "string"}, {"name": "__index_level_0__", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 375111944, "num_examples": 701226}, {"name": "test", "num_bytes": 80234499, "num_examples": 150263}, {"name": "validation", "num_bytes": 80134842, "num_examples": 150263}], "download_size": 251425819, "dataset_size": 535481285}} | 2023-04-03T14:47:48+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "en_th_dataset"
More Information needed | [
"# Dataset Card for \"en_th_dataset\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"en_th_dataset\"\n\nMore Information needed"
]
| [
6,
16
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"en_th_dataset\"\n\nMore Information needed"
]
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|
d95940fb133ed0f5c4037a4c1c1002eaab858169 | # Dataset Card for "flores200_eng_input_scaffolding_mix3_large_mt5"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | hlillemark/flores200_eng_input_scaffolding_mix3_large_mt5 | [
"region:us"
]
| 2023-04-03T15:03:59+00:00 | {"dataset_info": {"features": [{"name": "id", "dtype": "int32"}, {"name": "input_ids", "sequence": "int32"}, {"name": "attention_mask", "sequence": "int8"}, {"name": "labels", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 18579975878, "num_examples": 20480000}, {"name": "val", "num_bytes": 3827042, "num_examples": 5000}, {"name": "test", "num_bytes": 7670994, "num_examples": 10000}], "download_size": 8884090645, "dataset_size": 18591473914}} | 2023-04-03T15:19:46+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "flores200_eng_input_scaffolding_mix3_large_mt5"
More Information needed | [
"# Dataset Card for \"flores200_eng_input_scaffolding_mix3_large_mt5\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"flores200_eng_input_scaffolding_mix3_large_mt5\"\n\nMore Information needed"
]
| [
6,
33
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"flores200_eng_input_scaffolding_mix3_large_mt5\"\n\nMore Information needed"
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|
136ab1dd05b011611a0b9e736ce8cddd92113a3d | # Dataset Card for "pubmedqa_cleaned"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | reginaboateng/pubmedqa_cleaned | [
"region:us"
]
| 2023-04-03T15:04:47+00:00 | {"dataset_info": {"features": [{"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "id", "dtype": "int64"}, {"name": "answers", "struct": [{"name": "answer_start", "sequence": "int64"}, {"name": "text", "sequence": "string"}]}], "splits": [{"name": "train", "num_bytes": 322399718, "num_examples": 211269}, {"name": "validation", "num_bytes": 1476644, "num_examples": 1000}], "download_size": 181890655, "dataset_size": 323876362}} | 2023-04-03T15:16:43+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "pubmedqa_cleaned"
More Information needed | [
"# Dataset Card for \"pubmedqa_cleaned\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"pubmedqa_cleaned\"\n\nMore Information needed"
]
| [
6,
17
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"pubmedqa_cleaned\"\n\nMore Information needed"
]
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|
c62670ca8a45de3cd241465867a8dd592f4b5dc2 | # Dataset Card for "thailaw"
## English
Thai Law Dataset (Act of Parliament)
- Data source from Office of the Council of State, Thailand. [https://www.krisdika.go.th/](https://www.krisdika.go.th/)
- This part of PyThaiNLP Project.
- License Dataset is public domain.
Download [https://github.com/PyThaiNLP/thai-law/releases](https://github.com/PyThaiNLP/thai-law/releases)
This hub based on [Thailaw v0.2](https://github.com/PyThaiNLP/thai-law/releases/tag/v0.2).
## Thai
คลังข้อมูลกฎหมายไทย (พระราชบัญญัติ)
- ข้อมูลเก็บรวบรวมมาจากเว็บไซต์สำนักงานคณะกรรมการกฤษฎีกา [https://www.krisdika.go.th/](https://www.krisdika.go.th/)
- โครงการนี้เป็นส่วนหนึ่งในแผนพัฒนา [PyThaiNLP](https://github.com/PyThaiNLP/)
- ข้อมูลที่รวบรวมในคลังข้อความนี้เป็นสาธารณสมบัติ (public domain) ตามพ.ร.บ.ลิขสิทธิ์ พ.ศ. 2537 มาตรา 7 (สิ่งต่อไปนี้ไม่ถือว่าเป็นงานอันมีลิขสิทธิ์ตามพระราชบัญญัตินี้ (1) ข่าวประจำวัน และข้อเท็จจริงต่างๆ ที่มีลักษณะเป็นเพียงข่าวสารอันมิใช่งานในแผนกวรรณคดี แผนกวิทยาศาสตร์ หรือแผนกศิลปะ [...] (3) ระเบียบ ข้อบังคับ ประกาศ คำสั่ง คำชี้แจง และหนังสือตอบโต้ของกระทรวง ทบวง กรม หรือหน่วยงานอื่นใดของรัฐหรือของท้องถิ่น [...])
ดาวน์โหลดได้ที่ [https://github.com/PyThaiNLP/thai-law/releases](https://github.com/PyThaiNLP/thai-law/releases)
This dataset is Thai Law dataset v0.2
- Data source from Office of the Council of State, Thailand. [https://www.krisdika.go.th/](https://www.krisdika.go.th/)
- This part of PyThaiNLP Project.
- License Dataset is public domain.
Datasize: 42,755 row
GitHub: [https://github.com/PyThaiNLP/thai-law/releases/tag/v0.2](https://github.com/PyThaiNLP/thai-law/releases/tag/v0.2) | pythainlp/thailaw | [
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:th",
"license:cc0-1.0",
"legal",
"region:us"
]
| 2023-04-03T15:23:09+00:00 | {"language": ["th"], "license": "cc0-1.0", "size_categories": ["10K<n<100K"], "task_categories": ["text-generation"], "dataset_info": {"features": [{"name": "sysid", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "txt", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 825923852, "num_examples": 42755}], "download_size": 190585391, "dataset_size": 825923852}, "tags": ["legal"]} | 2023-05-21T13:34:49+00:00 | []
| [
"th"
]
| TAGS
#task_categories-text-generation #size_categories-10K<n<100K #language-Thai #license-cc0-1.0 #legal #region-us
| # Dataset Card for "thailaw"
## English
Thai Law Dataset (Act of Parliament)
- Data source from Office of the Council of State, Thailand. URL
- This part of PyThaiNLP Project.
- License Dataset is public domain.
Download URL
This hub based on Thailaw v0.2.
## Thai
คลังข้อมูลกฎหมายไทย (พระราชบัญญัติ)
- ข้อมูลเก็บรวบรวมมาจากเว็บไซต์สำนักงานคณะกรรมการกฤษฎีกา URL
- โครงการนี้เป็นส่วนหนึ่งในแผนพัฒนา PyThaiNLP
- ข้อมูลที่รวบรวมในคลังข้อความนี้เป็นสาธารณสมบัติ (public domain) ตามพ.ร.บ.ลิขสิทธิ์ พ.ศ. 2537 มาตรา 7 (สิ่งต่อไปนี้ไม่ถือว่าเป็นงานอันมีลิขสิทธิ์ตามพระราชบัญญัตินี้ (1) ข่าวประจำวัน และข้อเท็จจริงต่างๆ ที่มีลักษณะเป็นเพียงข่าวสารอันมิใช่งานในแผนกวรรณคดี แผนกวิทยาศาสตร์ หรือแผนกศิลปะ [...] (3) ระเบียบ ข้อบังคับ ประกาศ คำสั่ง คำชี้แจง และหนังสือตอบโต้ของกระทรวง ทบวง กรม หรือหน่วยงานอื่นใดของรัฐหรือของท้องถิ่น [...])
ดาวน์โหลดได้ที่ URL
This dataset is Thai Law dataset v0.2
- Data source from Office of the Council of State, Thailand. URL
- This part of PyThaiNLP Project.
- License Dataset is public domain.
Datasize: 42,755 row
GitHub: URL | [
"# Dataset Card for \"thailaw\"",
"## English\n\nThai Law Dataset (Act of Parliament)\n\n- Data source from Office of the Council of State, Thailand. URL\n- This part of PyThaiNLP Project.\n- License Dataset is public domain.\n\nDownload URL\n\nThis hub based on Thailaw v0.2.",
"## Thai\nคลังข้อมูลกฎหมายไทย (พระราชบัญญัติ)\n\n- ข้อมูลเก็บรวบรวมมาจากเว็บไซต์สำนักงานคณะกรรมการกฤษฎีกา URL\n- โครงการนี้เป็นส่วนหนึ่งในแผนพัฒนา PyThaiNLP\n- ข้อมูลที่รวบรวมในคลังข้อความนี้เป็นสาธารณสมบัติ (public domain) ตามพ.ร.บ.ลิขสิทธิ์ พ.ศ. 2537 มาตรา 7 (สิ่งต่อไปนี้ไม่ถือว่าเป็นงานอันมีลิขสิทธิ์ตามพระราชบัญญัตินี้ (1) ข่าวประจำวัน และข้อเท็จจริงต่างๆ ที่มีลักษณะเป็นเพียงข่าวสารอันมิใช่งานในแผนกวรรณคดี แผนกวิทยาศาสตร์ หรือแผนกศิลปะ [...] (3) ระเบียบ ข้อบังคับ ประกาศ คำสั่ง คำชี้แจง และหนังสือตอบโต้ของกระทรวง ทบวง กรม หรือหน่วยงานอื่นใดของรัฐหรือของท้องถิ่น [...])\n\nดาวน์โหลดได้ที่ URL\n\n\nThis dataset is Thai Law dataset v0.2\n\n- Data source from Office of the Council of State, Thailand. URL\n- This part of PyThaiNLP Project.\n- License Dataset is public domain.\n\nDatasize: 42,755 row\n\nGitHub: URL"
]
| [
"TAGS\n#task_categories-text-generation #size_categories-10K<n<100K #language-Thai #license-cc0-1.0 #legal #region-us \n",
"# Dataset Card for \"thailaw\"",
"## English\n\nThai Law Dataset (Act of Parliament)\n\n- Data source from Office of the Council of State, Thailand. URL\n- This part of PyThaiNLP Project.\n- License Dataset is public domain.\n\nDownload URL\n\nThis hub based on Thailaw v0.2.",
"## Thai\nคลังข้อมูลกฎหมายไทย (พระราชบัญญัติ)\n\n- ข้อมูลเก็บรวบรวมมาจากเว็บไซต์สำนักงานคณะกรรมการกฤษฎีกา URL\n- โครงการนี้เป็นส่วนหนึ่งในแผนพัฒนา PyThaiNLP\n- ข้อมูลที่รวบรวมในคลังข้อความนี้เป็นสาธารณสมบัติ (public domain) ตามพ.ร.บ.ลิขสิทธิ์ พ.ศ. 2537 มาตรา 7 (สิ่งต่อไปนี้ไม่ถือว่าเป็นงานอันมีลิขสิทธิ์ตามพระราชบัญญัตินี้ (1) ข่าวประจำวัน และข้อเท็จจริงต่างๆ ที่มีลักษณะเป็นเพียงข่าวสารอันมิใช่งานในแผนกวรรณคดี แผนกวิทยาศาสตร์ หรือแผนกศิลปะ [...] (3) ระเบียบ ข้อบังคับ ประกาศ คำสั่ง คำชี้แจง และหนังสือตอบโต้ของกระทรวง ทบวง กรม หรือหน่วยงานอื่นใดของรัฐหรือของท้องถิ่น [...])\n\nดาวน์โหลดได้ที่ URL\n\n\nThis dataset is Thai Law dataset v0.2\n\n- Data source from Office of the Council of State, Thailand. URL\n- This part of PyThaiNLP Project.\n- License Dataset is public domain.\n\nDatasize: 42,755 row\n\nGitHub: URL"
]
| [
44,
9,
56,
203
]
| [
"passage: TAGS\n#task_categories-text-generation #size_categories-10K<n<100K #language-Thai #license-cc0-1.0 #legal #region-us \n# Dataset Card for \"thailaw\"## English\n\nThai Law Dataset (Act of Parliament)\n\n- Data source from Office of the Council of State, Thailand. URL\n- This part of PyThaiNLP Project.\n- License Dataset is public domain.\n\nDownload URL\n\nThis hub based on Thailaw v0.2.## Thai\nคลังข้อมูลกฎหมายไทย (พระราชบัญญัติ)\n\n- ข้อมูลเก็บรวบรวมมาจากเว็บไซต์สำนักงานคณะกรรมการกฤษฎีกา URL\n- โครงการนี้เป็นส่วนหนึ่งในแผนพัฒนา PyThaiNLP\n- ข้อมูลที่รวบรวมในคลังข้อความนี้เป็นสาธารณสมบัติ (public domain) ตามพ.ร.บ.ลิขสิทธิ์ พ.ศ. 2537 มาตรา 7 (สิ่งต่อไปนี้ไม่ถือว่าเป็นงานอันมีลิขสิทธิ์ตามพระราชบัญญัตินี้ (1) ข่าวประจำวัน และข้อเท็จจริงต่างๆ ที่มีลักษณะเป็นเพียงข่าวสารอันมิใช่งานในแผนกวรรณคดี แผนกวิทยาศาสตร์ หรือแผนกศิลปะ [...] (3) ระเบียบ ข้อบังคับ ประกาศ คำสั่ง คำชี้แจง และหนังสือตอบโต้ของกระทรวง ทบวง กรม หรือหน่วยงานอื่นใดของรัฐหรือของท้องถิ่น [...])\n\nดาวน์โหลดได้ที่ URL\n\n\nThis dataset is Thai Law dataset v0.2\n\n- Data source from Office of the Council of State, Thailand. URL\n- This part of PyThaiNLP Project.\n- License Dataset is public domain.\n\nDatasize: 42,755 row\n\nGitHub: URL"
]
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|
e5b9f7a967e75d316a1e03fced99b62bd4312032 | # Dataset Card for "multi-configs"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | lhoestq/multi-configs | [
"region:us"
]
| 2023-04-03T15:36:33+00:00 | {"dataset_info": [{"config_name": "bar", "features": [{"name": "a", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 35, "num_examples": 5}], "download_size": 0, "dataset_size": 35}, {"config_name": "foo", "features": [{"name": "a", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 35, "num_examples": 5}], "download_size": 0, "dataset_size": 35}], "configs": [{"config_name": "bar", "data_files": "bar/train-*"}, {"config_name": "foo", "data_files": "foo/train-*"}]} | 2023-08-18T08:39:07+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "multi-configs"
More Information needed | [
"# Dataset Card for \"multi-configs\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"multi-configs\"\n\nMore Information needed"
]
| [
6,
14
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"multi-configs\"\n\nMore Information needed"
]
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|
9acd26a6334324931ca106ca297b70aa15fd9419 | # Dataset Card for "archdaily_30k_captioned"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | ossaili/archdaily_30k_captioned | [
"region:us"
]
| 2023-04-03T16:05:56+00:00 | {"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 9442439418.802, "num_examples": 30889}], "download_size": 7767696619, "dataset_size": 9442439418.802}} | 2023-04-03T16:14:07+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "archdaily_30k_captioned"
More Information needed | [
"# Dataset Card for \"archdaily_30k_captioned\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"archdaily_30k_captioned\"\n\nMore Information needed"
]
| [
6,
19
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"archdaily_30k_captioned\"\n\nMore Information needed"
]
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|
d258ef3098d52a16fd8db0f0bcd43b41f383208f | # Dataset Card for "somos-alpaca-es-mario"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | abrazador/somos-alpaca-es-mario | [
"region:us"
]
| 2023-04-03T16:07:52+00:00 | {"dataset_info": {"features": [{"name": "text", "dtype": "null"}, {"name": "inputs", "struct": [{"name": "1-instruction", "dtype": "string"}, {"name": "2-input", "dtype": "string"}, {"name": "3-output", "dtype": "string"}]}, {"name": "prediction", "dtype": "null"}, {"name": "prediction_agent", "dtype": "null"}, {"name": "annotation", "dtype": "string"}, {"name": "annotation_agent", "dtype": "string"}, {"name": "vectors", "struct": [{"name": "input", "sequence": "float64"}, {"name": "instruction", "sequence": "float64"}, {"name": "output", "sequence": "float64"}]}, {"name": "multi_label", "dtype": "bool"}, {"name": "explanation", "dtype": "null"}, {"name": "id", "dtype": "string"}, {"name": "metadata", "dtype": "null"}, {"name": "status", "dtype": "string"}, {"name": "event_timestamp", "dtype": "timestamp[us]"}, {"name": "metrics", "struct": [{"name": "text_length", "dtype": "int64"}]}], "splits": [{"name": "train", "num_bytes": 1577562, "num_examples": 84}], "download_size": 0, "dataset_size": 1577562}} | 2023-04-07T04:09:22+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "somos-alpaca-es-mario"
More Information needed | [
"# Dataset Card for \"somos-alpaca-es-mario\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"somos-alpaca-es-mario\"\n\nMore Information needed"
]
| [
6,
20
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"somos-alpaca-es-mario\"\n\nMore Information needed"
]
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|
a06f99f0c574c9bb414fbe4521ae5204463c1ec3 | # Dataset Card for "enwiki_100k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | teven/enwiki_100k | [
"region:us"
]
| 2023-04-03T16:13:51+00:00 | {"dataset_info": {"features": [{"name": "metadata", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "id", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2570893740, "num_examples": 1000000}], "download_size": 1550572660, "dataset_size": 2570893740}} | 2023-04-03T16:16:55+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "enwiki_100k"
More Information needed | [
"# Dataset Card for \"enwiki_100k\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"enwiki_100k\"\n\nMore Information needed"
]
| [
6,
15
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"enwiki_100k\"\n\nMore Information needed"
]
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|
415c2d7f377d16f62159a841a29795e9f5b9e808 |
### Paper
[Toward assessing clinical trial publications for reporting transparency](https://pubmed.ncbi.nlm.nih.gov/33647518/) | apoorvasrinivasan/consort-tm | [
"license:mit",
"region:us"
]
| 2023-04-03T16:30:57+00:00 | {"license": "mit"} | 2023-04-03T22:13:33+00:00 | []
| []
| TAGS
#license-mit #region-us
|
### Paper
Toward assessing clinical trial publications for reporting transparency | [
"### Paper\n\n\nToward assessing clinical trial publications for reporting transparency"
]
| [
"TAGS\n#license-mit #region-us \n",
"### Paper\n\n\nToward assessing clinical trial publications for reporting transparency"
]
| [
11,
18
]
| [
"passage: TAGS\n#license-mit #region-us \n### Paper\n\n\nToward assessing clinical trial publications for reporting transparency"
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|
685a145c2b087a6741f179effb0f4b9335fb295d | # Dataset Card for "qqp_he"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Machine-translated(google) QQP corpus to Hebrew
### Sample
```json
{'idx': 0,
'label': 0,
'labse_score': 0.536876916885376,
'question1': 'How is the life of a math student? Could you describe your own '
'experiences?',
'question1_he': 'איך החיים של תלמיד למתמטיקה? האם תוכל לתאר את החוויות שלך?',
'question2': 'Which level of prepration is enough for the exam jlpt5?',
'question2_he': 'איזו רמת הכנה מספיקה לבחינה jlpt n5?'}
``` | imvladikon/qqp_he | [
"task_categories:sentence-similarity",
"language:he",
"language:en",
"region:us"
]
| 2023-04-03T16:46:49+00:00 | {"language": ["he", "en"], "task_categories": ["sentence-similarity"], "dataset_info": {"features": [{"name": "question1", "dtype": "string"}, {"name": "question2", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "question1_he", "dtype": "string"}, {"name": "question2_he", "dtype": "string"}, {"name": "labse_score", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 118297851, "num_examples": 359985}, {"name": "validation", "num_bytes": 13144351, "num_examples": 39998}, {"name": "test", "num_bytes": 109317000, "num_examples": 329982}], "download_size": 147357764, "dataset_size": 240759202}} | 2024-01-28T14:10:59+00:00 | []
| [
"he",
"en"
]
| TAGS
#task_categories-sentence-similarity #language-Hebrew #language-English #region-us
| # Dataset Card for "qqp_he"
More Information needed
Machine-translated(google) QQP corpus to Hebrew
### Sample
| [
"# Dataset Card for \"qqp_he\"\n\nMore Information needed\n\nMachine-translated(google) QQP corpus to Hebrew",
"### Sample"
]
| [
"TAGS\n#task_categories-sentence-similarity #language-Hebrew #language-English #region-us \n",
"# Dataset Card for \"qqp_he\"\n\nMore Information needed\n\nMachine-translated(google) QQP corpus to Hebrew",
"### Sample"
]
| [
28,
29,
4
]
| [
"passage: TAGS\n#task_categories-sentence-similarity #language-Hebrew #language-English #region-us \n# Dataset Card for \"qqp_he\"\n\nMore Information needed\n\nMachine-translated(google) QQP corpus to Hebrew### Sample"
]
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|
d3bd098803abb3ab85eb5d8d19662a011f25c301 | # Dataset Card for "MULTI_VALUE_cola_future_sub_gon"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/MULTI_VALUE_cola_future_sub_gon | [
"region:us"
]
| 2023-04-03T18:28:15+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 3630, "num_examples": 40}, {"name": "test", "num_bytes": 3610, "num_examples": 40}, {"name": "train", "num_bytes": 27267, "num_examples": 339}], "download_size": 20545, "dataset_size": 34507}} | 2023-04-03T18:28:19+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "MULTI_VALUE_cola_future_sub_gon"
More Information needed | [
"# Dataset Card for \"MULTI_VALUE_cola_future_sub_gon\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"MULTI_VALUE_cola_future_sub_gon\"\n\nMore Information needed"
]
| [
6,
24
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"MULTI_VALUE_cola_future_sub_gon\"\n\nMore Information needed"
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|
6149a66907959ab71ca7a5b186fa471b333e14a2 | # Dataset Card for "MULTI_VALUE_cola_em_subj_pronoun"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/MULTI_VALUE_cola_em_subj_pronoun | [
"region:us"
]
| 2023-04-03T18:28:17+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 10089, "num_examples": 127}, {"name": "test", "num_bytes": 11641, "num_examples": 148}, {"name": "train", "num_bytes": 89492, "num_examples": 1221}], "download_size": 55864, "dataset_size": 111222}} | 2023-04-03T18:28:21+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "MULTI_VALUE_cola_em_subj_pronoun"
More Information needed | [
"# Dataset Card for \"MULTI_VALUE_cola_em_subj_pronoun\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"MULTI_VALUE_cola_em_subj_pronoun\"\n\nMore Information needed"
]
| [
6,
26
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"MULTI_VALUE_cola_em_subj_pronoun\"\n\nMore Information needed"
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|
1738915604383caef55c4748cf7f0e1d3b53c9ec | # Dataset Card for "MULTI_VALUE_cola_bare_ccomp"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/MULTI_VALUE_cola_bare_ccomp | [
"region:us"
]
| 2023-04-03T18:28:18+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 903, "num_examples": 11}, {"name": "test", "num_bytes": 313, "num_examples": 5}, {"name": "train", "num_bytes": 5541, "num_examples": 68}], "download_size": 9326, "dataset_size": 6757}} | 2023-04-03T18:28:22+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "MULTI_VALUE_cola_bare_ccomp"
More Information needed | [
"# Dataset Card for \"MULTI_VALUE_cola_bare_ccomp\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"MULTI_VALUE_cola_bare_ccomp\"\n\nMore Information needed"
]
| [
6,
22
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"MULTI_VALUE_cola_bare_ccomp\"\n\nMore Information needed"
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482be369e43c452135bcdab9c9f92d27c9aa5028 | # Dataset Card for "MULTI_VALUE_cola_corr_conjunction_doubling"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/MULTI_VALUE_cola_corr_conjunction_doubling | [
"region:us"
]
| 2023-04-03T18:28:36+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 8355, "num_examples": 77}, {"name": "test", "num_bytes": 8044, "num_examples": 78}, {"name": "train", "num_bytes": 25209, "num_examples": 263}], "download_size": 25566, "dataset_size": 41608}} | 2023-04-03T18:28:40+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "MULTI_VALUE_cola_corr_conjunction_doubling"
More Information needed | [
"# Dataset Card for \"MULTI_VALUE_cola_corr_conjunction_doubling\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"MULTI_VALUE_cola_corr_conjunction_doubling\"\n\nMore Information needed"
]
| [
6,
26
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| [
"passage: TAGS\n#region-us \n# Dataset Card for \"MULTI_VALUE_cola_corr_conjunction_doubling\"\n\nMore Information needed"
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|
5f78be894d642fb26c776c1ada85877e6209f3c3 | # Dataset Card for "MULTI_VALUE_cola_null_genitive"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/MULTI_VALUE_cola_null_genitive | [
"region:us"
]
| 2023-04-03T18:28:38+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 4031, "num_examples": 46}, {"name": "test", "num_bytes": 2519, "num_examples": 31}, {"name": "train", "num_bytes": 18493, "num_examples": 243}], "download_size": 18209, "dataset_size": 25043}} | 2023-04-03T18:28:41+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "MULTI_VALUE_cola_null_genitive"
More Information needed | [
"# Dataset Card for \"MULTI_VALUE_cola_null_genitive\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"MULTI_VALUE_cola_null_genitive\"\n\nMore Information needed"
]
| [
6,
22
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"MULTI_VALUE_cola_null_genitive\"\n\nMore Information needed"
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|
bc85722f8f0c11a9939e13e7c5bf24a3c8fa0bb0 | # Dataset Card for "MULTI_VALUE_cola_serial_verb_go"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/MULTI_VALUE_cola_serial_verb_go | [
"region:us"
]
| 2023-04-03T18:28:39+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 1081, "num_examples": 12}, {"name": "test", "num_bytes": 942, "num_examples": 12}, {"name": "train", "num_bytes": 9348, "num_examples": 121}], "download_size": 11566, "dataset_size": 11371}} | 2023-04-03T18:28:43+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "MULTI_VALUE_cola_serial_verb_go"
More Information needed | [
"# Dataset Card for \"MULTI_VALUE_cola_serial_verb_go\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"MULTI_VALUE_cola_serial_verb_go\"\n\nMore Information needed"
]
| [
6,
24
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"MULTI_VALUE_cola_serial_verb_go\"\n\nMore Information needed"
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|
50685862afc211311be8be125d395fb3abd59a21 | # Dataset Card for "MULTI_VALUE_cola_regularized_reflexives"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/MULTI_VALUE_cola_regularized_reflexives | [
"region:us"
]
| 2023-04-03T18:28:39+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 1802, "num_examples": 27}, {"name": "test", "num_bytes": 1878, "num_examples": 25}, {"name": "train", "num_bytes": 11199, "num_examples": 154}], "download_size": 12397, "dataset_size": 14879}} | 2023-04-03T18:28:43+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "MULTI_VALUE_cola_regularized_reflexives"
More Information needed | [
"# Dataset Card for \"MULTI_VALUE_cola_regularized_reflexives\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"MULTI_VALUE_cola_regularized_reflexives\"\n\nMore Information needed"
]
| [
6,
25
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"MULTI_VALUE_cola_regularized_reflexives\"\n\nMore Information needed"
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|
c797d61cc96f3fde7480b0c71c65379162592b0a | # Dataset Card for "MULTI_VALUE_cola_got_gotten"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/MULTI_VALUE_cola_got_gotten | [
"region:us"
]
| 2023-04-03T18:28:41+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 857, "num_examples": 11}], "download_size": 2212, "dataset_size": 857}} | 2023-04-03T18:28:43+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "MULTI_VALUE_cola_got_gotten"
More Information needed | [
"# Dataset Card for \"MULTI_VALUE_cola_got_gotten\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"MULTI_VALUE_cola_got_gotten\"\n\nMore Information needed"
]
| [
6,
22
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"MULTI_VALUE_cola_got_gotten\"\n\nMore Information needed"
]
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|
9742e5649daec3718c68cd7027ff2eaf97d6fb62 | # Dataset Card for "MULTI_VALUE_cola_remove_det_indefinite"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/MULTI_VALUE_cola_remove_det_indefinite | [
"region:us"
]
| 2023-04-03T18:28:42+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 8644, "num_examples": 114}, {"name": "test", "num_bytes": 8230, "num_examples": 116}, {"name": "train", "num_bytes": 78065, "num_examples": 1076}], "download_size": 50181, "dataset_size": 94939}} | 2023-04-03T18:28:46+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "MULTI_VALUE_cola_remove_det_indefinite"
More Information needed | [
"# Dataset Card for \"MULTI_VALUE_cola_remove_det_indefinite\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"MULTI_VALUE_cola_remove_det_indefinite\"\n\nMore Information needed"
]
| [
6,
26
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"MULTI_VALUE_cola_remove_det_indefinite\"\n\nMore Information needed"
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|
9ff0c4898b5224785981a67a162b73e2947c5a7e | # Dataset Card for "MULTI_VALUE_cola_more_much"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/MULTI_VALUE_cola_more_much | [
"region:us"
]
| 2023-04-03T18:28:43+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 1258, "num_examples": 15}, {"name": "test", "num_bytes": 1605, "num_examples": 19}, {"name": "train", "num_bytes": 23328, "num_examples": 265}], "download_size": 16234, "dataset_size": 26191}} | 2023-04-03T18:28:47+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "MULTI_VALUE_cola_more_much"
More Information needed | [
"# Dataset Card for \"MULTI_VALUE_cola_more_much\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"MULTI_VALUE_cola_more_much\"\n\nMore Information needed"
]
| [
6,
22
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"MULTI_VALUE_cola_more_much\"\n\nMore Information needed"
]
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|
5d63b280f34c932b6903405851020724e504794a | # Dataset Card for "MULTI_VALUE_cola_chaining_main_verbs"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/MULTI_VALUE_cola_chaining_main_verbs | [
"region:us"
]
| 2023-04-03T18:28:45+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 507, "num_examples": 7}, {"name": "test", "num_bytes": 563, "num_examples": 7}, {"name": "train", "num_bytes": 2714, "num_examples": 35}], "download_size": 8023, "dataset_size": 3784}} | 2023-04-03T18:28:49+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "MULTI_VALUE_cola_chaining_main_verbs"
More Information needed | [
"# Dataset Card for \"MULTI_VALUE_cola_chaining_main_verbs\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"MULTI_VALUE_cola_chaining_main_verbs\"\n\nMore Information needed"
]
| [
6,
25
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"MULTI_VALUE_cola_chaining_main_verbs\"\n\nMore Information needed"
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eb9dcc869d0bb031a3ac5c52050a1d8bbb0fec24 | # Dataset Card for "MULTI_VALUE_cola_drop_copula_be_AP"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/MULTI_VALUE_cola_drop_copula_be_AP | [
"region:us"
]
| 2023-04-03T18:28:46+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 3332, "num_examples": 42}, {"name": "test", "num_bytes": 3660, "num_examples": 48}, {"name": "train", "num_bytes": 25894, "num_examples": 378}], "download_size": 20817, "dataset_size": 32886}} | 2023-04-03T18:28:50+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "MULTI_VALUE_cola_drop_copula_be_AP"
More Information needed | [
"# Dataset Card for \"MULTI_VALUE_cola_drop_copula_be_AP\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"MULTI_VALUE_cola_drop_copula_be_AP\"\n\nMore Information needed"
]
| [
6,
26
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| [
"passage: TAGS\n#region-us \n# Dataset Card for \"MULTI_VALUE_cola_drop_copula_be_AP\"\n\nMore Information needed"
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|
c3afbc106082a5663d1d56ab9e661b5caef32082 | # Dataset Card for "MULTI_VALUE_cola_conditional_were_was"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/MULTI_VALUE_cola_conditional_were_was | [
"region:us"
]
| 2023-04-03T18:28:51+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 187, "num_examples": 2}, {"name": "train", "num_bytes": 465, "num_examples": 5}], "download_size": 4368, "dataset_size": 652}} | 2023-04-03T18:28:55+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "MULTI_VALUE_cola_conditional_were_was"
More Information needed | [
"# Dataset Card for \"MULTI_VALUE_cola_conditional_were_was\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"MULTI_VALUE_cola_conditional_were_was\"\n\nMore Information needed"
]
| [
6,
25
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"MULTI_VALUE_cola_conditional_were_was\"\n\nMore Information needed"
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dc28d3a92eda00ff643cd6446fced119e8f19513 | # Dataset Card for "MULTI_VALUE_cola_proximal_distal_demonstratives"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/MULTI_VALUE_cola_proximal_distal_demonstratives | [
"region:us"
]
| 2023-04-03T18:28:52+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 4263, "num_examples": 54}, {"name": "test", "num_bytes": 4991, "num_examples": 60}, {"name": "train", "num_bytes": 43605, "num_examples": 497}], "download_size": 27935, "dataset_size": 52859}} | 2023-04-03T18:28:55+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "MULTI_VALUE_cola_proximal_distal_demonstratives"
More Information needed | [
"# Dataset Card for \"MULTI_VALUE_cola_proximal_distal_demonstratives\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"MULTI_VALUE_cola_proximal_distal_demonstratives\"\n\nMore Information needed"
]
| [
6,
29
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| [
"passage: TAGS\n#region-us \n# Dataset Card for \"MULTI_VALUE_cola_proximal_distal_demonstratives\"\n\nMore Information needed"
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|
927629c5c0445d4b729a87a627f43189a4e4ff61 | # Dataset Card for "MULTI_VALUE_cola_be_perfect"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/MULTI_VALUE_cola_be_perfect | [
"region:us"
]
| 2023-04-03T18:28:56+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 2887, "num_examples": 32}, {"name": "test", "num_bytes": 3850, "num_examples": 47}, {"name": "train", "num_bytes": 30820, "num_examples": 397}], "download_size": 23061, "dataset_size": 37557}} | 2023-04-03T18:29:00+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "MULTI_VALUE_cola_be_perfect"
More Information needed | [
"# Dataset Card for \"MULTI_VALUE_cola_be_perfect\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"MULTI_VALUE_cola_be_perfect\"\n\nMore Information needed"
]
| [
6,
21
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"MULTI_VALUE_cola_be_perfect\"\n\nMore Information needed"
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c81af07af37e9725b0e2625fc6cc5c56bc7e4582 | # Dataset Card for "MULTI_VALUE_cola_regularized_reflexives_object_pronouns"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/MULTI_VALUE_cola_regularized_reflexives_object_pronouns | [
"region:us"
]
| 2023-04-03T18:29:01+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 319, "num_examples": 7}, {"name": "test", "num_bytes": 367, "num_examples": 6}, {"name": "train", "num_bytes": 3466, "num_examples": 55}], "download_size": 7580, "dataset_size": 4152}} | 2023-04-03T18:29:06+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "MULTI_VALUE_cola_regularized_reflexives_object_pronouns"
More Information needed | [
"# Dataset Card for \"MULTI_VALUE_cola_regularized_reflexives_object_pronouns\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"MULTI_VALUE_cola_regularized_reflexives_object_pronouns\"\n\nMore Information needed"
]
| [
6,
31
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"MULTI_VALUE_cola_regularized_reflexives_object_pronouns\"\n\nMore Information needed"
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|
686edfcf599ed6ab31ba0bcbae9fa89e81495db8 | # Dataset Card for "MULTI_VALUE_cola_drop_aux_be_progressive"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/MULTI_VALUE_cola_drop_aux_be_progressive | [
"region:us"
]
| 2023-04-03T18:29:02+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 777, "num_examples": 11}, {"name": "test", "num_bytes": 1458, "num_examples": 19}, {"name": "train", "num_bytes": 11627, "num_examples": 165}], "download_size": 12361, "dataset_size": 13862}} | 2023-04-03T18:29:06+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "MULTI_VALUE_cola_drop_aux_be_progressive"
More Information needed | [
"# Dataset Card for \"MULTI_VALUE_cola_drop_aux_be_progressive\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"MULTI_VALUE_cola_drop_aux_be_progressive\"\n\nMore Information needed"
]
| [
6,
27
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| [
"passage: TAGS\n#region-us \n# Dataset Card for \"MULTI_VALUE_cola_drop_aux_be_progressive\"\n\nMore Information needed"
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|
5c8690349342a57aefcb8f856c003d9a0bd16a2a | # Dataset Card for "MULTI_VALUE_cola_give_passive"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/MULTI_VALUE_cola_give_passive | [
"region:us"
]
| 2023-04-03T18:29:08+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 2725, "num_examples": 45}, {"name": "test", "num_bytes": 3497, "num_examples": 58}, {"name": "train", "num_bytes": 8568, "num_examples": 129}], "download_size": 12639, "dataset_size": 14790}} | 2023-04-03T18:29:11+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "MULTI_VALUE_cola_give_passive"
More Information needed | [
"# Dataset Card for \"MULTI_VALUE_cola_give_passive\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"MULTI_VALUE_cola_give_passive\"\n\nMore Information needed"
]
| [
6,
22
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"MULTI_VALUE_cola_give_passive\"\n\nMore Information needed"
]
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|
0a67851979c6e64ae0490ad3169c2781937ff199 | # Dataset Card for "MULTI_VALUE_cola_my_i"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/MULTI_VALUE_cola_my_i | [
"region:us"
]
| 2023-04-03T18:29:09+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 2275, "num_examples": 29}, {"name": "test", "num_bytes": 1996, "num_examples": 24}, {"name": "train", "num_bytes": 12732, "num_examples": 164}], "download_size": 14310, "dataset_size": 17003}} | 2023-04-03T18:29:13+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "MULTI_VALUE_cola_my_i"
More Information needed | [
"# Dataset Card for \"MULTI_VALUE_cola_my_i\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"MULTI_VALUE_cola_my_i\"\n\nMore Information needed"
]
| [
6,
21
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"MULTI_VALUE_cola_my_i\"\n\nMore Information needed"
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|
19ec578c998d182bb86183cafe888d8a4d89d986 | # Dataset Card for "MULTI_VALUE_cola_drop_aux_wh"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/MULTI_VALUE_cola_drop_aux_wh | [
"region:us"
]
| 2023-04-03T18:29:09+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 2694, "num_examples": 42}, {"name": "test", "num_bytes": 2046, "num_examples": 31}, {"name": "train", "num_bytes": 25160, "num_examples": 385}], "download_size": 19067, "dataset_size": 29900}} | 2023-04-03T18:29:13+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "MULTI_VALUE_cola_drop_aux_wh"
More Information needed | [
"# Dataset Card for \"MULTI_VALUE_cola_drop_aux_wh\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"MULTI_VALUE_cola_drop_aux_wh\"\n\nMore Information needed"
]
| [
6,
24
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"MULTI_VALUE_cola_drop_aux_wh\"\n\nMore Information needed"
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|
83510fea55d785b6c7d4b856bde9686d737e846b | # Dataset Card for "MULTI_VALUE_cola_linking_relcl"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/MULTI_VALUE_cola_linking_relcl | [
"region:us"
]
| 2023-04-03T18:29:10+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 6973, "num_examples": 67}, {"name": "test", "num_bytes": 5839, "num_examples": 56}, {"name": "train", "num_bytes": 10542, "num_examples": 109}], "download_size": 17172, "dataset_size": 23354}} | 2023-04-03T18:29:13+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "MULTI_VALUE_cola_linking_relcl"
More Information needed | [
"# Dataset Card for \"MULTI_VALUE_cola_linking_relcl\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"MULTI_VALUE_cola_linking_relcl\"\n\nMore Information needed"
]
| [
6,
23
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"MULTI_VALUE_cola_linking_relcl\"\n\nMore Information needed"
]
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|
64341b3b9cdc383bb0f39b32d277db8398cc8564 | # Dataset Card for "MULTI_VALUE_cola_synthetic_superlative"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/MULTI_VALUE_cola_synthetic_superlative | [
"region:us"
]
| 2023-04-03T18:29:10+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 77, "num_examples": 1}, {"name": "test", "num_bytes": 62, "num_examples": 1}, {"name": "train", "num_bytes": 871, "num_examples": 11}], "download_size": 6263, "dataset_size": 1010}} | 2023-04-03T18:29:13+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "MULTI_VALUE_cola_synthetic_superlative"
More Information needed | [
"# Dataset Card for \"MULTI_VALUE_cola_synthetic_superlative\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"MULTI_VALUE_cola_synthetic_superlative\"\n\nMore Information needed"
]
| [
6,
25
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| [
"passage: TAGS\n#region-us \n# Dataset Card for \"MULTI_VALUE_cola_synthetic_superlative\"\n\nMore Information needed"
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|
fd5073b33d2ccf5071348f348a3fe085dc6a6168 | # Dataset Card for "MULTI_VALUE_cola_standing_stood"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/MULTI_VALUE_cola_standing_stood | [
"region:us"
]
| 2023-04-03T18:29:10+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "test", "num_bytes": 46, "num_examples": 1}, {"name": "train", "num_bytes": 92, "num_examples": 1}], "download_size": 3816, "dataset_size": 138}} | 2023-04-03T18:29:13+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "MULTI_VALUE_cola_standing_stood"
More Information needed | [
"# Dataset Card for \"MULTI_VALUE_cola_standing_stood\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"MULTI_VALUE_cola_standing_stood\"\n\nMore Information needed"
]
| [
6,
22
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"MULTI_VALUE_cola_standing_stood\"\n\nMore Information needed"
]
| [
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|
1f9eeb6820c5d1eaab52a7b110639226cdd5cff4 | # Dataset Card for "MULTI_VALUE_cola_me_coordinate_subjects"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/MULTI_VALUE_cola_me_coordinate_subjects | [
"region:us"
]
| 2023-04-03T18:29:10+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 106, "num_examples": 1}, {"name": "train", "num_bytes": 428, "num_examples": 6}], "download_size": 4226, "dataset_size": 534}} | 2023-04-03T18:29:13+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "MULTI_VALUE_cola_me_coordinate_subjects"
More Information needed | [
"# Dataset Card for \"MULTI_VALUE_cola_me_coordinate_subjects\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"MULTI_VALUE_cola_me_coordinate_subjects\"\n\nMore Information needed"
]
| [
6,
27
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"MULTI_VALUE_cola_me_coordinate_subjects\"\n\nMore Information needed"
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|
152ae369f8f4943cbb0f58b5865e3ae17a7d24f7 | # Dataset Card for "MULTI_VALUE_cola_double_past"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/MULTI_VALUE_cola_double_past | [
"region:us"
]
| 2023-04-03T18:29:10+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 6751, "num_examples": 84}, {"name": "test", "num_bytes": 4833, "num_examples": 62}, {"name": "train", "num_bytes": 46609, "num_examples": 613}], "download_size": 31769, "dataset_size": 58193}} | 2023-04-03T18:29:14+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "MULTI_VALUE_cola_double_past"
More Information needed | [
"# Dataset Card for \"MULTI_VALUE_cola_double_past\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"MULTI_VALUE_cola_double_past\"\n\nMore Information needed"
]
| [
6,
23
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"MULTI_VALUE_cola_double_past\"\n\nMore Information needed"
]
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|
ad2b7046c8c17e7af9d3ed86ea49ce8d4edc4b14 | # Dataset Card for "MULTI_VALUE_cola_never_negator"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/MULTI_VALUE_cola_never_negator | [
"region:us"
]
| 2023-04-03T18:29:11+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 1324, "num_examples": 16}, {"name": "test", "num_bytes": 1249, "num_examples": 15}, {"name": "train", "num_bytes": 7774, "num_examples": 96}], "download_size": 10683, "dataset_size": 10347}} | 2023-04-03T18:29:15+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "MULTI_VALUE_cola_never_negator"
More Information needed | [
"# Dataset Card for \"MULTI_VALUE_cola_never_negator\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"MULTI_VALUE_cola_never_negator\"\n\nMore Information needed"
]
| [
6,
23
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"MULTI_VALUE_cola_never_negator\"\n\nMore Information needed"
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|
e20d828dd418174ea02220bfbf70a8d8c67c31a2 | # Dataset Card for "MULTI_VALUE_cola_correlative_constructions"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/MULTI_VALUE_cola_correlative_constructions | [
"region:us"
]
| 2023-04-03T18:29:17+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 2591, "num_examples": 27}, {"name": "test", "num_bytes": 1809, "num_examples": 18}, {"name": "train", "num_bytes": 21789, "num_examples": 214}], "download_size": 18293, "dataset_size": 26189}} | 2023-04-03T18:29:22+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "MULTI_VALUE_cola_correlative_constructions"
More Information needed | [
"# Dataset Card for \"MULTI_VALUE_cola_correlative_constructions\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"MULTI_VALUE_cola_correlative_constructions\"\n\nMore Information needed"
]
| [
6,
24
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"MULTI_VALUE_cola_correlative_constructions\"\n\nMore Information needed"
]
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|
bdf32502e013ff1783ed16629f3e2b85e3c3a412 | # Dataset Card for "MULTI_VALUE_cola_absolute_reflex"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/MULTI_VALUE_cola_absolute_reflex | [
"region:us"
]
| 2023-04-03T18:29:18+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 6875, "num_examples": 81}, {"name": "test", "num_bytes": 7485, "num_examples": 92}, {"name": "train", "num_bytes": 70891, "num_examples": 918}], "download_size": 41221, "dataset_size": 85251}} | 2023-04-03T18:29:22+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "MULTI_VALUE_cola_absolute_reflex"
More Information needed | [
"# Dataset Card for \"MULTI_VALUE_cola_absolute_reflex\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"MULTI_VALUE_cola_absolute_reflex\"\n\nMore Information needed"
]
| [
6,
24
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"MULTI_VALUE_cola_absolute_reflex\"\n\nMore Information needed"
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|
d9047c819ee5e9c056c46ec842981b670d5b8b66 | # Dataset Card for "MULTI_VALUE_cola_say_complementizer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/MULTI_VALUE_cola_say_complementizer | [
"region:us"
]
| 2023-04-03T18:29:20+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 3246, "num_examples": 31}, {"name": "test", "num_bytes": 3095, "num_examples": 33}, {"name": "train", "num_bytes": 16767, "num_examples": 198}], "download_size": 17053, "dataset_size": 23108}} | 2023-04-03T18:29:24+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "MULTI_VALUE_cola_say_complementizer"
More Information needed | [
"# Dataset Card for \"MULTI_VALUE_cola_say_complementizer\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"MULTI_VALUE_cola_say_complementizer\"\n\nMore Information needed"
]
| [
6,
23
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"MULTI_VALUE_cola_say_complementizer\"\n\nMore Information needed"
]
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|
8752e3db635d47b1e1bb19dbf9e29c4413ce49e2 | # Dataset Card for "MULTI_VALUE_cola_analytic_whose_relativizer"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/MULTI_VALUE_cola_analytic_whose_relativizer | [
"region:us"
]
| 2023-04-03T18:29:21+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 406, "num_examples": 4}, {"name": "test", "num_bytes": 557, "num_examples": 6}, {"name": "train", "num_bytes": 937, "num_examples": 11}], "download_size": 7392, "dataset_size": 1900}} | 2023-04-03T18:29:25+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "MULTI_VALUE_cola_analytic_whose_relativizer"
More Information needed | [
"# Dataset Card for \"MULTI_VALUE_cola_analytic_whose_relativizer\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"MULTI_VALUE_cola_analytic_whose_relativizer\"\n\nMore Information needed"
]
| [
6,
27
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"MULTI_VALUE_cola_analytic_whose_relativizer\"\n\nMore Information needed"
]
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9878fe60c90c2f62056ed93d5247831c041f31d7 | # Dataset Card for "MULTI_VALUE_cola_non_coordinated_obj_subj"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/MULTI_VALUE_cola_non_coordinated_obj_subj | [
"region:us"
]
| 2023-04-03T18:29:23+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 14032, "num_examples": 187}, {"name": "test", "num_bytes": 15151, "num_examples": 201}, {"name": "train", "num_bytes": 103676, "num_examples": 1441}], "download_size": 66221, "dataset_size": 132859}} | 2023-04-03T18:29:28+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "MULTI_VALUE_cola_non_coordinated_obj_subj"
More Information needed | [
"# Dataset Card for \"MULTI_VALUE_cola_non_coordinated_obj_subj\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"MULTI_VALUE_cola_non_coordinated_obj_subj\"\n\nMore Information needed"
]
| [
6,
29
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| [
"passage: TAGS\n#region-us \n# Dataset Card for \"MULTI_VALUE_cola_non_coordinated_obj_subj\"\n\nMore Information needed"
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|
e5738b47759e69aa8d526fb09e193b76c22639d5 | # Dataset Card for "MULTI_VALUE_cola_possessives_for_post"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/MULTI_VALUE_cola_possessives_for_post | [
"region:us"
]
| 2023-04-03T18:29:23+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 10741, "num_examples": 117}, {"name": "test", "num_bytes": 11219, "num_examples": 127}, {"name": "train", "num_bytes": 86209, "num_examples": 983}], "download_size": 53037, "dataset_size": 108169}} | 2023-04-03T18:29:27+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "MULTI_VALUE_cola_possessives_for_post"
More Information needed | [
"# Dataset Card for \"MULTI_VALUE_cola_possessives_for_post\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"MULTI_VALUE_cola_possessives_for_post\"\n\nMore Information needed"
]
| [
6,
26
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"MULTI_VALUE_cola_possessives_for_post\"\n\nMore Information needed"
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|
f48ac398873fb7a8f63568a6df612d72261da699 | # Dataset Card for "MULTI_VALUE_cola_relativizer_doubling"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/MULTI_VALUE_cola_relativizer_doubling | [
"region:us"
]
| 2023-04-03T18:29:24+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 4481, "num_examples": 48}, {"name": "test", "num_bytes": 3173, "num_examples": 35}, {"name": "train", "num_bytes": 44408, "num_examples": 457}], "download_size": 30123, "dataset_size": 52062}} | 2023-04-03T18:29:28+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "MULTI_VALUE_cola_relativizer_doubling"
More Information needed | [
"# Dataset Card for \"MULTI_VALUE_cola_relativizer_doubling\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"MULTI_VALUE_cola_relativizer_doubling\"\n\nMore Information needed"
]
| [
6,
24
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"MULTI_VALUE_cola_relativizer_doubling\"\n\nMore Information needed"
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|
e1d468ac36b566f4102c009bcb56d045ddb2ef66 | # Dataset Card for "MULTI_VALUE_cola_relativizer_where"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/MULTI_VALUE_cola_relativizer_where | [
"region:us"
]
| 2023-04-03T18:29:24+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 2115, "num_examples": 24}, {"name": "test", "num_bytes": 1502, "num_examples": 17}, {"name": "train", "num_bytes": 21542, "num_examples": 226}], "download_size": 17887, "dataset_size": 25159}} | 2023-04-03T18:29:28+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "MULTI_VALUE_cola_relativizer_where"
More Information needed | [
"# Dataset Card for \"MULTI_VALUE_cola_relativizer_where\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"MULTI_VALUE_cola_relativizer_where\"\n\nMore Information needed"
]
| [
6,
23
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"MULTI_VALUE_cola_relativizer_where\"\n\nMore Information needed"
]
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|
f94338da6c7537ebcbc7e0aa32fd14f3277ab5f8 | # Dataset Card for "MULTI_VALUE_cola_wasnt_werent"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/MULTI_VALUE_cola_wasnt_werent | [
"region:us"
]
| 2023-04-03T18:29:24+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 208, "num_examples": 2}, {"name": "test", "num_bytes": 175, "num_examples": 2}, {"name": "train", "num_bytes": 467, "num_examples": 6}], "download_size": 6494, "dataset_size": 850}} | 2023-04-03T18:29:28+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "MULTI_VALUE_cola_wasnt_werent"
More Information needed | [
"# Dataset Card for \"MULTI_VALUE_cola_wasnt_werent\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"MULTI_VALUE_cola_wasnt_werent\"\n\nMore Information needed"
]
| [
6,
23
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"MULTI_VALUE_cola_wasnt_werent\"\n\nMore Information needed"
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|
43b2da548a5475ec34da580bd4a150498b097758 | # Dataset Card for "MULTI_VALUE_cola_who_what"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/MULTI_VALUE_cola_who_what | [
"region:us"
]
| 2023-04-03T18:29:24+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 4114, "num_examples": 47}, {"name": "test", "num_bytes": 2873, "num_examples": 34}, {"name": "train", "num_bytes": 41650, "num_examples": 457}], "download_size": 28365, "dataset_size": 48637}} | 2023-04-03T18:29:28+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "MULTI_VALUE_cola_who_what"
More Information needed | [
"# Dataset Card for \"MULTI_VALUE_cola_who_what\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"MULTI_VALUE_cola_who_what\"\n\nMore Information needed"
]
| [
6,
22
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"MULTI_VALUE_cola_who_what\"\n\nMore Information needed"
]
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|
6aa5e5132144ec00ed262f343f8bdb58cbe40456 | # Dataset Card for "MULTI_VALUE_cola_fixin_future"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/MULTI_VALUE_cola_fixin_future | [
"region:us"
]
| 2023-04-03T18:29:24+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 3982, "num_examples": 40}, {"name": "test", "num_bytes": 3962, "num_examples": 40}, {"name": "train", "num_bytes": 30100, "num_examples": 339}], "download_size": 21095, "dataset_size": 38044}} | 2023-04-03T18:29:29+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "MULTI_VALUE_cola_fixin_future"
More Information needed | [
"# Dataset Card for \"MULTI_VALUE_cola_fixin_future\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"MULTI_VALUE_cola_fixin_future\"\n\nMore Information needed"
]
| [
6,
23
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"MULTI_VALUE_cola_fixin_future\"\n\nMore Information needed"
]
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2ab0c187c2bd07f5410cba78c93f9460dafc9e59 | # Dataset Card for "MULTI_VALUE_cola_indefinite_for_zero"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/MULTI_VALUE_cola_indefinite_for_zero | [
"region:us"
]
| 2023-04-03T18:29:24+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 53218, "num_examples": 690}, {"name": "test", "num_bytes": 53701, "num_examples": 707}, {"name": "train", "num_bytes": 443551, "num_examples": 5913}], "download_size": 247636, "dataset_size": 550470}} | 2023-04-03T18:29:28+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "MULTI_VALUE_cola_indefinite_for_zero"
More Information needed | [
"# Dataset Card for \"MULTI_VALUE_cola_indefinite_for_zero\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"MULTI_VALUE_cola_indefinite_for_zero\"\n\nMore Information needed"
]
| [
6,
25
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| [
"passage: TAGS\n#region-us \n# Dataset Card for \"MULTI_VALUE_cola_indefinite_for_zero\"\n\nMore Information needed"
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|
c5cb1ca70026289628767342f3e361db5684a9b9 | # Dataset Card for "MULTI_VALUE_cola_demonstrative_no_number"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | liuyanchen1015/MULTI_VALUE_cola_demonstrative_no_number | [
"region:us"
]
| 2023-04-03T18:29:25+00:00 | {"dataset_info": {"features": [{"name": "sentence", "dtype": "string"}, {"name": "label", "dtype": "int64"}, {"name": "idx", "dtype": "int64"}, {"name": "value_score", "dtype": "int64"}], "splits": [{"name": "dev", "num_bytes": 986, "num_examples": 13}, {"name": "test", "num_bytes": 1058, "num_examples": 14}, {"name": "train", "num_bytes": 8229, "num_examples": 97}], "download_size": 11109, "dataset_size": 10273}} | 2023-04-03T18:29:29+00:00 | []
| []
| TAGS
#region-us
| # Dataset Card for "MULTI_VALUE_cola_demonstrative_no_number"
More Information needed | [
"# Dataset Card for \"MULTI_VALUE_cola_demonstrative_no_number\"\n\nMore Information needed"
]
| [
"TAGS\n#region-us \n",
"# Dataset Card for \"MULTI_VALUE_cola_demonstrative_no_number\"\n\nMore Information needed"
]
| [
6,
27
]
| [
"passage: TAGS\n#region-us \n# Dataset Card for \"MULTI_VALUE_cola_demonstrative_no_number\"\n\nMore Information needed"
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|
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