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Update files from the datasets library (from 1.0.2)

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Release notes: https://github.com/huggingface/datasets/releases/tag/1.0.2

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  1. dataset_infos.json +1 -1
  2. glue.py +10 -10
dataset_infos.json CHANGED
@@ -1 +1 @@
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Please see the source to see\nthe correct citation for each contained dataset.", "homepage": "http://www.nyu.edu/projects/bowman/multinli/", "license": "", "features": {"premise": {"dtype": "string", "id": null, "_type": "Value"}, "hypothesis": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 3, "names": ["entailment", "neutral", "contradiction"], "names_file": null, "id": null, "_type": "ClassLabel"}, "idx": {"dtype": "int32", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "glue", "config_name": "mnli", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"test_matched": {"name": "test_matched", "num_bytes": 1854787, "num_examples": 9796, "dataset_name": "glue"}, "test_mismatched": {"name": "test_mismatched", "num_bytes": 1956866, "num_examples": 9847, "dataset_name": "glue"}, "train": {"name": "train", "num_bytes": 74865118, "num_examples": 392702, "dataset_name": "glue"}, "validation_matched": {"name": "validation_matched", "num_bytes": 1839926, "num_examples": 9815, "dataset_name": "glue"}, "validation_mismatched": {"name": "validation_mismatched", "num_bytes": 1955384, "num_examples": 9832, "dataset_name": "glue"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/glue/data/MNLI.zip": {"num_bytes": 312783507, "checksum": "e7c1d896d26ed6caf700110645df426cc2d8ebf02a5ab743d5a5c68ac1c83633"}}, "download_size": 312783507, "post_processing_size": null, "dataset_size": 82472081, "size_in_bytes": 395255588}, "mnli_mismatched": {"description": "GLUE, the General Language Understanding Evaluation benchmark\n(https://gluebenchmark.com/) is a collection of resources for training,\nevaluating, and analyzing natural language understanding systems.\n\n", "citation": "@InProceedings{N18-1101,\n author = \"Williams, Adina\n and Nangia, Nikita\n and Bowman, Samuel\",\n title = \"A Broad-Coverage Challenge Corpus for\n Sentence Understanding through Inference\",\n booktitle = \"Proceedings of the 2018 Conference of\n the North American Chapter of the\n Association for Computational Linguistics:\n Human Language Technologies, Volume 1 (Long\n Papers)\",\n year = \"2018\",\n publisher = \"Association for Computational Linguistics\",\n pages = \"1112--1122\",\n location = \"New Orleans, Louisiana\",\n url = \"http://aclweb.org/anthology/N18-1101\"\n}\n@article{bowman2015large,\n title={A large annotated corpus for learning natural language inference},\n author={Bowman, Samuel R and Angeli, Gabor and Potts, Christopher and Manning, Christopher D},\n journal={arXiv preprint arXiv:1508.05326},\n year={2015}\n}\n@inproceedings{wang2019glue,\n title={{GLUE}: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding},\n author={Wang, Alex and Singh, Amanpreet and Michael, Julian and Hill, Felix and Levy, Omer and Bowman, Samuel R.},\n note={In the Proceedings of ICLR.},\n year={2019}\n}\n\nNote that each GLUE dataset has its own citation. Please see the source to see\nthe correct citation for each contained dataset.", "homepage": "http://www.nyu.edu/projects/bowman/multinli/", "license": "", "features": {"premise": {"dtype": "string", "id": null, "_type": "Value"}, "hypothesis": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 3, "names": ["entailment", "neutral", "contradiction"], "names_file": null, "id": null, "_type": "ClassLabel"}, "idx": {"dtype": "int32", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "glue", "config_name": "mnli_mismatched", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 1956866, "num_examples": 9847, "dataset_name": "glue"}, "validation": {"name": "validation", "num_bytes": 1955384, "num_examples": 9832, "dataset_name": "glue"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/glue/data/MNLI.zip": {"num_bytes": 312783507, "checksum": "e7c1d896d26ed6caf700110645df426cc2d8ebf02a5ab743d5a5c68ac1c83633"}}, "download_size": 312783507, "post_processing_size": null, "dataset_size": 3912250, "size_in_bytes": 316695757}, "mnli_matched": {"description": "GLUE, the General Language Understanding Evaluation benchmark\n(https://gluebenchmark.com/) is a collection of resources for training,\nevaluating, and analyzing natural language understanding systems.\n\n", "citation": "@InProceedings{N18-1101,\n author = \"Williams, Adina\n and Nangia, Nikita\n and Bowman, Samuel\",\n title = \"A Broad-Coverage Challenge Corpus for\n Sentence Understanding through Inference\",\n booktitle = \"Proceedings of the 2018 Conference of\n the North American Chapter of the\n Association for Computational Linguistics:\n Human Language Technologies, Volume 1 (Long\n Papers)\",\n year = \"2018\",\n publisher = \"Association for Computational Linguistics\",\n pages = \"1112--1122\",\n location = \"New Orleans, Louisiana\",\n url = \"http://aclweb.org/anthology/N18-1101\"\n}\n@article{bowman2015large,\n title={A large annotated corpus for learning natural language inference},\n author={Bowman, Samuel R and Angeli, Gabor and Potts, Christopher and Manning, Christopher D},\n journal={arXiv preprint arXiv:1508.05326},\n year={2015}\n}\n@inproceedings{wang2019glue,\n title={{GLUE}: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding},\n author={Wang, Alex and Singh, Amanpreet and Michael, Julian and Hill, Felix and Levy, Omer and Bowman, Samuel R.},\n note={In the Proceedings of ICLR.},\n year={2019}\n}\n\nNote that each GLUE dataset has its own citation. Please see the source to see\nthe correct citation for each contained dataset.", "homepage": "http://www.nyu.edu/projects/bowman/multinli/", "license": "", "features": {"premise": {"dtype": "string", "id": null, "_type": "Value"}, "hypothesis": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 3, "names": ["entailment", "neutral", "contradiction"], "names_file": null, "id": null, "_type": "ClassLabel"}, "idx": {"dtype": "int32", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "glue", "config_name": "mnli_matched", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 1854787, "num_examples": 9796, "dataset_name": "glue"}, "validation": {"name": "validation", "num_bytes": 1839926, "num_examples": 9815, "dataset_name": "glue"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/glue/data/MNLI.zip": {"num_bytes": 312783507, "checksum": "e7c1d896d26ed6caf700110645df426cc2d8ebf02a5ab743d5a5c68ac1c83633"}}, "download_size": 312783507, "post_processing_size": null, "dataset_size": 3694713, "size_in_bytes": 316478220}, "qnli": {"description": "GLUE, the General Language Understanding Evaluation benchmark\n(https://gluebenchmark.com/) is a collection of resources for training,\nevaluating, and analyzing natural language understanding systems.\n\n", "citation": "@article{rajpurkar2016squad,\n title={Squad: 100,000+ questions for machine comprehension of text},\n author={Rajpurkar, Pranav and Zhang, Jian and Lopyrev, Konstantin and Liang, Percy},\n journal={arXiv preprint arXiv:1606.05250},\n year={2016}\n}\n@inproceedings{wang2019glue,\n title={{GLUE}: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding},\n author={Wang, Alex and Singh, Amanpreet and Michael, Julian and Hill, Felix and Levy, Omer and Bowman, Samuel R.},\n note={In the Proceedings of ICLR.},\n year={2019}\n}\n\nNote that each GLUE dataset has its own citation. Please see the source to see\nthe correct citation for each contained dataset.", "homepage": "https://rajpurkar.github.io/SQuAD-explorer/", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 2, "names": ["entailment", "not_entailment"], "names_file": null, "id": null, "_type": "ClassLabel"}, "idx": {"dtype": "int32", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "glue", "config_name": "qnli", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 1376516, "num_examples": 5463, "dataset_name": "glue"}, "train": {"name": "train", "num_bytes": 25677924, "num_examples": 104743, "dataset_name": "glue"}, "validation": {"name": "validation", "num_bytes": 1371727, "num_examples": 5463, "dataset_name": "glue"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/glue/data/QNLIv2.zip": {"num_bytes": 10627589, "checksum": "e634e78627a29adaecd4f955359b22bf5e70f2cbd93b493f2d624138a0c0e5f5"}}, "download_size": 10627589, "post_processing_size": null, "dataset_size": 28426167, "size_in_bytes": 39053756}, "rte": {"description": "GLUE, the General Language Understanding Evaluation benchmark\n(https://gluebenchmark.com/) is a collection of resources for training,\nevaluating, and analyzing natural language understanding systems.\n\n", "citation": "@inproceedings{dagan2005pascal,\n title={The PASCAL recognising textual entailment challenge},\n author={Dagan, Ido and Glickman, Oren and Magnini, Bernardo},\n booktitle={Machine Learning Challenges Workshop},\n pages={177--190},\n year={2005},\n organization={Springer}\n}\n@inproceedings{bar2006second,\n title={The second pascal recognising textual entailment challenge},\n author={Bar-Haim, Roy and Dagan, Ido and Dolan, Bill and Ferro, Lisa and Giampiccolo, Danilo and Magnini, Bernardo and Szpektor, Idan},\n booktitle={Proceedings of the second PASCAL challenges workshop on recognising textual entailment},\n volume={6},\n number={1},\n pages={6--4},\n year={2006},\n organization={Venice}\n}\n@inproceedings{giampiccolo2007third,\n title={The third pascal recognizing textual entailment challenge},\n author={Giampiccolo, Danilo and Magnini, Bernardo and Dagan, Ido and Dolan, Bill},\n booktitle={Proceedings of the ACL-PASCAL workshop on textual entailment and paraphrasing},\n pages={1--9},\n year={2007},\n organization={Association for Computational Linguistics}\n}\n@inproceedings{bentivogli2009fifth,\n title={The Fifth PASCAL Recognizing Textual Entailment Challenge.},\n author={Bentivogli, Luisa and Clark, Peter and Dagan, Ido and Giampiccolo, Danilo},\n booktitle={TAC},\n year={2009}\n}\n@inproceedings{wang2019glue,\n title={{GLUE}: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding},\n author={Wang, Alex and Singh, Amanpreet and Michael, Julian and Hill, Felix and Levy, Omer and Bowman, Samuel R.},\n note={In the Proceedings of ICLR.},\n year={2019}\n}\n\nNote that each GLUE dataset has its own citation. Please see the source to see\nthe correct citation for each contained dataset.", "homepage": "https://aclweb.org/aclwiki/Recognizing_Textual_Entailment", "license": "", "features": {"sentence1": {"dtype": "string", "id": null, "_type": "Value"}, "sentence2": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 2, "names": ["entailment", "not_entailment"], "names_file": null, "id": null, "_type": "ClassLabel"}, "idx": {"dtype": "int32", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "glue", "config_name": "rte", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 975936, "num_examples": 3000, "dataset_name": "glue"}, "train": {"name": "train", "num_bytes": 848888, "num_examples": 2490, "dataset_name": "glue"}, "validation": {"name": "validation", "num_bytes": 90911, "num_examples": 277, "dataset_name": "glue"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/glue/data/RTE.zip": {"num_bytes": 697150, "checksum": "6bf86de103ecd335f3441bd43574d23fef87ecc695977a63b82d5efb206556ee"}}, "download_size": 697150, "post_processing_size": null, "dataset_size": 1915735, "size_in_bytes": 2612885}, "wnli": {"description": "GLUE, the General Language Understanding Evaluation benchmark\n(https://gluebenchmark.com/) is a collection of resources for training,\nevaluating, and analyzing natural language understanding systems.\n\n", "citation": "@inproceedings{levesque2012winograd,\n title={The winograd schema challenge},\n author={Levesque, Hector and Davis, Ernest and Morgenstern, Leora},\n booktitle={Thirteenth International Conference on the Principles of Knowledge Representation and Reasoning},\n year={2012}\n}\n@inproceedings{wang2019glue,\n title={{GLUE}: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding},\n author={Wang, Alex and Singh, Amanpreet and Michael, Julian and Hill, Felix and Levy, Omer and Bowman, Samuel R.},\n note={In the Proceedings of ICLR.},\n year={2019}\n}\n\nNote that each GLUE dataset has its own citation. Please see the source to see\nthe correct citation for each contained dataset.", "homepage": "https://cs.nyu.edu/faculty/davise/papers/WinogradSchemas/WS.html", "license": "", "features": {"sentence1": {"dtype": "string", "id": null, "_type": "Value"}, "sentence2": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 2, "names": ["not_entailment", "entailment"], "names_file": null, "id": null, "_type": "ClassLabel"}, "idx": {"dtype": "int32", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "glue", "config_name": "wnli", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 37992, "num_examples": 146, "dataset_name": "glue"}, "train": {"name": "train", "num_bytes": 107517, "num_examples": 635, "dataset_name": "glue"}, "validation": {"name": "validation", "num_bytes": 12215, "num_examples": 71, "dataset_name": "glue"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/glue/data/WNLI.zip": {"num_bytes": 28999, "checksum": "ae0e8e4d16f4d46d4a0a566ec7ecceccfd3fbfaa4a7a4b4e02848c0f2561ac46"}}, "download_size": 28999, "post_processing_size": null, "dataset_size": 157724, "size_in_bytes": 186723}, "ax": {"description": "GLUE, the General Language Understanding Evaluation benchmark\n(https://gluebenchmark.com/) is a collection of resources for training,\nevaluating, and analyzing natural language understanding systems.\n\n", "citation": "\n@inproceedings{wang2019glue,\n title={{GLUE}: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding},\n author={Wang, Alex and Singh, Amanpreet and Michael, Julian and Hill, Felix and Levy, Omer and Bowman, Samuel R.},\n note={In the Proceedings of ICLR.},\n year={2019}\n}\n\nNote that each GLUE dataset has its own citation. Please see the source to see\nthe correct citation for each contained dataset.", "homepage": "https://gluebenchmark.com/diagnostics", "license": "", "features": {"premise": {"dtype": "string", "id": null, "_type": "Value"}, "hypothesis": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 3, "names": ["entailment", "neutral", "contradiction"], "names_file": null, "id": null, "_type": "ClassLabel"}, "idx": {"dtype": "int32", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "glue", "config_name": "ax", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 238392, "num_examples": 1104, "dataset_name": "glue"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/glue/data/AX.tsv": {"num_bytes": 222257, "checksum": "0e13510b1bb14436ff7e2ee82338f0efb0133ecf2e73507a697dc210db3f05fd"}}, "download_size": 222257, "post_processing_size": null, "dataset_size": 238392, "size_in_bytes": 460649}}
glue.py CHANGED
@@ -44,7 +44,7 @@ evaluating, and analyzing natural language understanding systems.
44
 
45
  """
46
 
47
- _MRPC_DEV_IDS = "https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2Fmrpc_dev_ids.tsv?alt=media&token=ec5c0836-31d5-48f4-b431-7480817f1adc"
48
  _MRPC_TRAIN = "https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_train.txt"
49
  _MRPC_TEST = "https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_test.txt"
50
 
@@ -55,7 +55,7 @@ _MNLI_BASE_KWARGS = dict(
55
  },
56
  label_classes=["entailment", "neutral", "contradiction"],
57
  label_column="gold_label",
58
- data_url="https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FMNLI.zip?alt=media&token=50329ea1-e339-40e2-809c-10c40afff3ce",
59
  data_dir="MNLI",
60
  citation=textwrap.dedent(
61
  """\
@@ -148,7 +148,7 @@ class Glue(datasets.GeneratorBasedBuilder):
148
  text_features={"sentence": "sentence"},
149
  label_classes=["unacceptable", "acceptable"],
150
  label_column="is_acceptable",
151
- data_url="https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FCoLA.zip?alt=media&token=46d5e637-3411-4188-bc44-5809b5bfb5f4",
152
  data_dir="CoLA",
153
  citation=textwrap.dedent(
154
  """\
@@ -173,7 +173,7 @@ class Glue(datasets.GeneratorBasedBuilder):
173
  text_features={"sentence": "sentence"},
174
  label_classes=["negative", "positive"],
175
  label_column="label",
176
- data_url="https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FSST-2.zip?alt=media&token=aabc5f6b-e466-44a2-b9b4-cf6337f84ac8",
177
  data_dir="SST-2",
178
  citation=textwrap.dedent(
179
  """\
@@ -225,7 +225,7 @@ class Glue(datasets.GeneratorBasedBuilder):
225
  },
226
  label_classes=["not_duplicate", "duplicate"],
227
  label_column="is_duplicate",
228
- data_url="https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FQQP.zip?alt=media&token=700c6acf-160d-4d89-81d1-de4191d02cb5",
229
  data_dir="QQP",
230
  citation=textwrap.dedent(
231
  """\
@@ -253,7 +253,7 @@ class Glue(datasets.GeneratorBasedBuilder):
253
  "sentence2": "sentence2",
254
  },
255
  label_column="score",
256
- data_url="https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FSTS-B.zip?alt=media&token=bddb94a7-8706-4e0d-a694-1109e12273b5",
257
  data_dir="STS-B",
258
  citation=textwrap.dedent(
259
  """\
@@ -320,7 +320,7 @@ class Glue(datasets.GeneratorBasedBuilder):
320
  },
321
  label_classes=["entailment", "not_entailment"],
322
  label_column="label",
323
- data_url="https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FQNLIv2.zip?alt=media&token=6fdcf570-0fc5-4631-8456-9505272d1601",
324
  data_dir="QNLI",
325
  citation=textwrap.dedent(
326
  """\
@@ -349,7 +349,7 @@ class Glue(datasets.GeneratorBasedBuilder):
349
  },
350
  label_classes=["entailment", "not_entailment"],
351
  label_column="label",
352
- data_url="https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FRTE.zip?alt=media&token=5efa7e85-a0bb-4f19-8ea2-9e1840f077fb",
353
  data_dir="RTE",
354
  citation=textwrap.dedent(
355
  """\
@@ -414,7 +414,7 @@ class Glue(datasets.GeneratorBasedBuilder):
414
  },
415
  label_classes=["not_entailment", "entailment"],
416
  label_column="label",
417
- data_url="https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FWNLI.zip?alt=media&token=068ad0a0-ded7-4bd7-99a5-5e00222e0faf",
418
  data_dir="WNLI",
419
  citation=textwrap.dedent(
420
  """\
@@ -445,7 +445,7 @@ class Glue(datasets.GeneratorBasedBuilder):
445
  label_column="", # No label since we only have test set.
446
  # We must use a URL shortener since the URL from GLUE is very long and
447
  # causes issues in TFDS.
448
- data_url="https://bit.ly/2BOtOJ7",
449
  data_dir="", # We are downloading a tsv.
450
  citation="", # The GLUE citation is sufficient.
451
  url="https://gluebenchmark.com/diagnostics",
 
44
 
45
  """
46
 
47
+ _MRPC_DEV_IDS = "https://dl.fbaipublicfiles.com/glue/data/mrpc_dev_ids.tsv"
48
  _MRPC_TRAIN = "https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_train.txt"
49
  _MRPC_TEST = "https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_test.txt"
50
 
 
55
  },
56
  label_classes=["entailment", "neutral", "contradiction"],
57
  label_column="gold_label",
58
+ data_url="https://dl.fbaipublicfiles.com/glue/data/MNLI.zip",
59
  data_dir="MNLI",
60
  citation=textwrap.dedent(
61
  """\
 
148
  text_features={"sentence": "sentence"},
149
  label_classes=["unacceptable", "acceptable"],
150
  label_column="is_acceptable",
151
+ data_url="https://dl.fbaipublicfiles.com/glue/data/CoLA.zip",
152
  data_dir="CoLA",
153
  citation=textwrap.dedent(
154
  """\
 
173
  text_features={"sentence": "sentence"},
174
  label_classes=["negative", "positive"],
175
  label_column="label",
176
+ data_url="https://dl.fbaipublicfiles.com/glue/data/SST-2.zip",
177
  data_dir="SST-2",
178
  citation=textwrap.dedent(
179
  """\
 
225
  },
226
  label_classes=["not_duplicate", "duplicate"],
227
  label_column="is_duplicate",
228
+ data_url="https://dl.fbaipublicfiles.com/glue/data/QQP-clean.zip",
229
  data_dir="QQP",
230
  citation=textwrap.dedent(
231
  """\
 
253
  "sentence2": "sentence2",
254
  },
255
  label_column="score",
256
+ data_url="https://dl.fbaipublicfiles.com/glue/data/STS-B.zip",
257
  data_dir="STS-B",
258
  citation=textwrap.dedent(
259
  """\
 
320
  },
321
  label_classes=["entailment", "not_entailment"],
322
  label_column="label",
323
+ data_url="https://dl.fbaipublicfiles.com/glue/data/QNLIv2.zip",
324
  data_dir="QNLI",
325
  citation=textwrap.dedent(
326
  """\
 
349
  },
350
  label_classes=["entailment", "not_entailment"],
351
  label_column="label",
352
+ data_url="https://dl.fbaipublicfiles.com/glue/data/RTE.zip",
353
  data_dir="RTE",
354
  citation=textwrap.dedent(
355
  """\
 
414
  },
415
  label_classes=["not_entailment", "entailment"],
416
  label_column="label",
417
+ data_url="https://dl.fbaipublicfiles.com/glue/data/WNLI.zip",
418
  data_dir="WNLI",
419
  citation=textwrap.dedent(
420
  """\
 
445
  label_column="", # No label since we only have test set.
446
  # We must use a URL shortener since the URL from GLUE is very long and
447
  # causes issues in TFDS.
448
+ data_url="https://dl.fbaipublicfiles.com/glue/data/AX.tsv",
449
  data_dir="", # We are downloading a tsv.
450
  citation="", # The GLUE citation is sufficient.
451
  url="https://gluebenchmark.com/diagnostics",