Convert dataset to Parquet

Convert dataset to Parquet.

README.md

@@ -23,6 +23,40 @@ task_ids:
 - text-scoring
 paperswithcode_id: glue
 pretty_name: GLUE (General Language Understanding Evaluation benchmark)
+dataset_info:
+  config_name: cola
+  features:
+  - name: sentence
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': unacceptable
+          '1': acceptable
+  - name: idx
+    dtype: int32
+  splits:
+  - name: train
+    num_bytes: 484869
+    num_examples: 8551
+  - name: validation
+    num_bytes: 60322
+    num_examples: 1043
+  - name: test
+    num_bytes: 60513
+    num_examples: 1063
+  download_size: 322394
+  dataset_size: 605704
+configs:
+- config_name: cola
+  data_files:
+  - split: train
+    path: cola/train-*
+  - split: validation
+    path: cola/validation-*
+  - split: test
+    path: cola/test-*
 train-eval-index:
 - config: cola
   task: text-classification

cola/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a062af38745f295a5bd520db8ec9891c0b8bdf27ff41bfc758ddc5b6f8d13f2e
+size 37133

cola/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c93ec046925d08d9153e3a888e18c6d4355d3aca8c0c41b7e4a2b118e90d661b
+size 248320

cola/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:34ca31bcad53a8a85805c872863ab167a245ca569f6105c603498e94ed8b1ad0
+size 36941

dataset_infos.json

@@ -1 +1,862 @@
-{"cola": {"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{warstadt2018neural,\n  title={Neural Network Acceptability Judgments},\n  author={Warstadt, Alex and Singh, Amanpreet and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1805.12471},\n  year={2018}\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://nyu-mll.github.io/CoLA/", "license": "", "features": {"sentence": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 2, "names": ["unacceptable", "acceptable"], "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": "cola", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 61049, "num_examples": 1063, "dataset_name": "glue"}, "train": {"name": "train", "num_bytes": 489149, "num_examples": 8551, "dataset_name": "glue"}, "validation": {"name": "validation", "num_bytes": 60850, "num_examples": 1043, "dataset_name": "glue"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/glue/data/CoLA.zip": {"num_bytes": 376971, "checksum": "f212fcd832b8f7b435fb991f101abf89f96b933ab400603bf198960dfc32cbff"}}, "download_size": 376971, "post_processing_size": null, "dataset_size": 611048, "size_in_bytes": 988019}, "sst2": {"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{socher2013recursive,\n  title={Recursive deep models for semantic compositionality over a sentiment treebank},\n  author={Socher, Richard and Perelygin, Alex and Wu, Jean and Chuang, Jason and Manning, Christopher D and Ng, Andrew and Potts, Christopher},\n  booktitle={Proceedings of the 2013 conference on empirical methods in natural language processing},\n  pages={1631--1642},\n  year={2013}\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://nlp.stanford.edu/sentiment/index.html", "license": "", "features": {"sentence": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 2, "names": ["negative", "positive"], "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": "sst2", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 217556, "num_examples": 1821, "dataset_name": "glue"}, "train": {"name": "train", "num_bytes": 4715283, "num_examples": 67349, "dataset_name": "glue"}, "validation": {"name": "validation", "num_bytes": 106692, "num_examples": 872, "dataset_name": "glue"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/glue/data/SST-2.zip": {"num_bytes": 7439277, "checksum": "d67e16fb55739c1b32cdce9877596db1c127dc322d93c082281f64057c16deaa"}}, "download_size": 7439277, "post_processing_size": null, "dataset_size": 5039531, "size_in_bytes": 12478808}, "mrpc": {"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{dolan2005automatically,\n  title={Automatically constructing a corpus of sentential paraphrases},\n  author={Dolan, William B and Brockett, Chris},\n  booktitle={Proceedings of the Third International Workshop on Paraphrasing (IWP2005)},\n  year={2005}\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://www.microsoft.com/en-us/download/details.aspx?id=52398", "license": "", "features": {"sentence1": {"dtype": "string", "id": null, "_type": "Value"}, "sentence2": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 2, "names": ["not_equivalent", "equivalent"], "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": "mrpc", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 443498, "num_examples": 1725, "dataset_name": "glue"}, "train": {"name": "train", "num_bytes": 946146, "num_examples": 3668, "dataset_name": "glue"}, "validation": {"name": "validation", "num_bytes": 106142, "num_examples": 408, "dataset_name": "glue"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/glue/data/mrpc_dev_ids.tsv": {"num_bytes": 6222, "checksum": "971d7767d81b997fd9060ade0ec23c4fc31cbb226a55d1bd4a1bac474eb81dc7"}, "https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_train.txt": {"num_bytes": 1047044, "checksum": "60a9b09084528f0673eedee2b69cb941920f0b8cd0eeccefc464a98768457f89"}, "https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_test.txt": {"num_bytes": 441275, "checksum": "a04e271090879aaba6423d65b94950c089298587d9c084bf9cd7439bd785f784"}}, "download_size": 1494541, "post_processing_size": null, "dataset_size": 1495786, "size_in_bytes": 2990327}, "qqp": {"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": "@online{WinNT,\n  author = {Iyer, Shankar and Dandekar, Nikhil and Csernai, Kornel},\n  title = {First Quora Dataset Release: Question Pairs},\n  year = {2017},\n  url = {https://data.quora.com/First-Quora-Dataset-Release-Question-Pairs},\n  urldate = {2019-04-03}\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", "homepage": "https://data.quora.com/First-Quora-Dataset-Release-Question-Pairs", "license": "", "features": {"question1": {"dtype": "string", "id": null, "_type": "Value"}, "question2": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 2, "names": ["not_duplicate", "duplicate"], "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": "qqp", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 50901116, "num_examples": 363846, "dataset_name": "glue"}, "validation": {"name": "validation", "num_bytes": 5653794, "num_examples": 40430, "dataset_name": "glue"}, "test": {"name": "test", "num_bytes": 55171431, "num_examples": 390965, "dataset_name": "glue"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/glue/data/QQP-clean.zip": {"num_bytes": 41696084, "checksum": "40e7c862c04eb26ee04b67fd900e76c45c6ba8e6d8fab4f8f1f8072a1a3fbae0"}}, "download_size": 41696084, "post_processing_size": null, "dataset_size": 111726341, "size_in_bytes": 153422425}, "stsb": {"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{cer2017semeval,\n  title={Semeval-2017 task 1: Semantic textual similarity-multilingual and cross-lingual focused evaluation},\n  author={Cer, Daniel and Diab, Mona and Agirre, Eneko and Lopez-Gazpio, Inigo and Specia, Lucia},\n  journal={arXiv preprint arXiv:1708.00055},\n  year={2017}\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://ixa2.si.ehu.es/stswiki/index.php/STSbenchmark", "license": "", "features": {"sentence1": {"dtype": "string", "id": null, "_type": "Value"}, "sentence2": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"dtype": "float32", "id": null, "_type": "Value"}, "idx": {"dtype": "int32", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "glue", "config_name": "stsb", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 170847, "num_examples": 1379, "dataset_name": "glue"}, "train": {"name": "train", "num_bytes": 758394, "num_examples": 5749, "dataset_name": "glue"}, "validation": {"name": "validation", "num_bytes": 217012, "num_examples": 1500, "dataset_name": "glue"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/glue/data/STS-B.zip": {"num_bytes": 802872, "checksum": "e60a6393de5a8b5b9bac5020a1554b54e3691f9d600b775bd131e613ac179c85"}}, "download_size": 802872, "post_processing_size": null, "dataset_size": 1146253, "size_in_bytes": 1949125}, "mnli": {"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", "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}}
+{
+    "cola": {
+        "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{warstadt2018neural,\n  title={Neural Network Acceptability Judgments},\n  author={Warstadt, Alex and Singh, Amanpreet and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1805.12471},\n  year={2018}\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",
+        "homepage": "https://nyu-mll.github.io/CoLA/",
+        "license": "",
+        "features": {
+            "sentence": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "label": {
+                "names": [
+                    "unacceptable",
+                    "acceptable"
+                ],
+                "_type": "ClassLabel"
+            },
+            "idx": {
+                "dtype": "int32",
+                "_type": "Value"
+            }
+        },
+        "builder_name": "glue-ci",
+        "dataset_name": "glue-ci",
+        "config_name": "cola",
+        "version": {
+            "version_str": "1.0.0",
+            "description": "",
+            "major": 1,
+            "minor": 0,
+            "patch": 0
+        },
+        "splits": {
+            "train": {
+                "name": "train",
+                "num_bytes": 484869,
+                "num_examples": 8551,
+                "dataset_name": null
+            },
+            "validation": {
+                "name": "validation",
+                "num_bytes": 60322,
+                "num_examples": 1043,
+                "dataset_name": null
+            },
+            "test": {
+                "name": "test",
+                "num_bytes": 60513,
+                "num_examples": 1063,
+                "dataset_name": null
+            }
+        },
+        "download_size": 322394,
+        "dataset_size": 605704,
+        "size_in_bytes": 928098
+    },
+    "sst2": {
+        "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{socher2013recursive,\n  title={Recursive deep models for semantic compositionality over a sentiment treebank},\n  author={Socher, Richard and Perelygin, Alex and Wu, Jean and Chuang, Jason and Manning, Christopher D and Ng, Andrew and Potts, Christopher},\n  booktitle={Proceedings of the 2013 conference on empirical methods in natural language processing},\n  pages={1631--1642},\n  year={2013}\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://nlp.stanford.edu/sentiment/index.html",
+        "license": "",
+        "features": {
+            "sentence": {
+                "dtype": "string",
+                "id": null,
+                "_type": "Value"
+            },
+            "label": {
+                "num_classes": 2,
+                "names": [
+                    "negative",
+                    "positive"
+                ],
+                "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": "sst2",
+        "version": {
+            "version_str": "1.0.0",
+            "description": "",
+            "major": 1,
+            "minor": 0,
+            "patch": 0
+        },
+        "splits": {
+            "test": {
+                "name": "test",
+                "num_bytes": 217556,
+                "num_examples": 1821,
+                "dataset_name": "glue"
+            },
+            "train": {
+                "name": "train",
+                "num_bytes": 4715283,
+                "num_examples": 67349,
+                "dataset_name": "glue"
+            },
+            "validation": {
+                "name": "validation",
+                "num_bytes": 106692,
+                "num_examples": 872,
+                "dataset_name": "glue"
+            }
+        },
+        "download_checksums": {
+            "https://dl.fbaipublicfiles.com/glue/data/SST-2.zip": {
+                "num_bytes": 7439277,
+                "checksum": "d67e16fb55739c1b32cdce9877596db1c127dc322d93c082281f64057c16deaa"
+            }
+        },
+        "download_size": 7439277,
+        "post_processing_size": null,
+        "dataset_size": 5039531,
+        "size_in_bytes": 12478808
+    },
+    "mrpc": {
+        "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{dolan2005automatically,\n  title={Automatically constructing a corpus of sentential paraphrases},\n  author={Dolan, William B and Brockett, Chris},\n  booktitle={Proceedings of the Third International Workshop on Paraphrasing (IWP2005)},\n  year={2005}\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://www.microsoft.com/en-us/download/details.aspx?id=52398",
+        "license": "",
+        "features": {
+            "sentence1": {
+                "dtype": "string",
+                "id": null,
+                "_type": "Value"
+            },
+            "sentence2": {
+                "dtype": "string",
+                "id": null,
+                "_type": "Value"
+            },
+            "label": {
+                "num_classes": 2,
+                "names": [
+                    "not_equivalent",
+                    "equivalent"
+                ],
+                "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": "mrpc",
+        "version": {
+            "version_str": "1.0.0",
+            "description": "",
+            "major": 1,
+            "minor": 0,
+            "patch": 0
+        },
+        "splits": {
+            "test": {
+                "name": "test",
+                "num_bytes": 443498,
+                "num_examples": 1725,
+                "dataset_name": "glue"
+            },
+            "train": {
+                "name": "train",
+                "num_bytes": 946146,
+                "num_examples": 3668,
+                "dataset_name": "glue"
+            },
+            "validation": {
+                "name": "validation",
+                "num_bytes": 106142,
+                "num_examples": 408,
+                "dataset_name": "glue"
+            }
+        },
+        "download_checksums": {
+            "https://dl.fbaipublicfiles.com/glue/data/mrpc_dev_ids.tsv": {
+                "num_bytes": 6222,
+                "checksum": "971d7767d81b997fd9060ade0ec23c4fc31cbb226a55d1bd4a1bac474eb81dc7"
+            },
+            "https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_train.txt": {
+                "num_bytes": 1047044,
+                "checksum": "60a9b09084528f0673eedee2b69cb941920f0b8cd0eeccefc464a98768457f89"
+            },
+            "https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_test.txt": {
+                "num_bytes": 441275,
+                "checksum": "a04e271090879aaba6423d65b94950c089298587d9c084bf9cd7439bd785f784"
+            }
+        },
+        "download_size": 1494541,
+        "post_processing_size": null,
+        "dataset_size": 1495786,
+        "size_in_bytes": 2990327
+    },
+    "qqp": {
+        "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": "@online{WinNT,\n  author = {Iyer, Shankar and Dandekar, Nikhil and Csernai, Kornel},\n  title = {First Quora Dataset Release: Question Pairs},\n  year = {2017},\n  url = {https://data.quora.com/First-Quora-Dataset-Release-Question-Pairs},\n  urldate = {2019-04-03}\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",
+        "homepage": "https://data.quora.com/First-Quora-Dataset-Release-Question-Pairs",
+        "license": "",
+        "features": {
+            "question1": {
+                "dtype": "string",
+                "id": null,
+                "_type": "Value"
+            },
+            "question2": {
+                "dtype": "string",
+                "id": null,
+                "_type": "Value"
+            },
+            "label": {
+                "num_classes": 2,
+                "names": [
+                    "not_duplicate",
+                    "duplicate"
+                ],
+                "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": "qqp",
+        "version": {
+            "version_str": "1.0.0",
+            "description": "",
+            "major": 1,
+            "minor": 0,
+            "patch": 0
+        },
+        "splits": {
+            "train": {
+                "name": "train",
+                "num_bytes": 50901116,
+                "num_examples": 363846,
+                "dataset_name": "glue"
+            },
+            "validation": {
+                "name": "validation",
+                "num_bytes": 5653794,
+                "num_examples": 40430,
+                "dataset_name": "glue"
+            },
+            "test": {
+                "name": "test",
+                "num_bytes": 55171431,
+                "num_examples": 390965,
+                "dataset_name": "glue"
+            }
+        },
+        "download_checksums": {
+            "https://dl.fbaipublicfiles.com/glue/data/QQP-clean.zip": {
+                "num_bytes": 41696084,
+                "checksum": "40e7c862c04eb26ee04b67fd900e76c45c6ba8e6d8fab4f8f1f8072a1a3fbae0"
+            }
+        },
+        "download_size": 41696084,
+        "post_processing_size": null,
+        "dataset_size": 111726341,
+        "size_in_bytes": 153422425
+    },
+    "stsb": {
+        "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{cer2017semeval,\n  title={Semeval-2017 task 1: Semantic textual similarity-multilingual and cross-lingual focused evaluation},\n  author={Cer, Daniel and Diab, Mona and Agirre, Eneko and Lopez-Gazpio, Inigo and Specia, Lucia},\n  journal={arXiv preprint arXiv:1708.00055},\n  year={2017}\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://ixa2.si.ehu.es/stswiki/index.php/STSbenchmark",
+        "license": "",
+        "features": {
+            "sentence1": {
+                "dtype": "string",
+                "id": null,
+                "_type": "Value"
+            },
+            "sentence2": {
+                "dtype": "string",
+                "id": null,
+                "_type": "Value"
+            },
+            "label": {
+                "dtype": "float32",
+                "id": null,
+                "_type": "Value"
+            },
+            "idx": {
+                "dtype": "int32",
+                "id": null,
+                "_type": "Value"
+            }
+        },
+        "post_processed": null,
+        "supervised_keys": null,
+        "builder_name": "glue",
+        "config_name": "stsb",
+        "version": {
+            "version_str": "1.0.0",
+            "description": "",
+            "major": 1,
+            "minor": 0,
+            "patch": 0
+        },
+        "splits": {
+            "test": {
+                "name": "test",
+                "num_bytes": 170847,
+                "num_examples": 1379,
+                "dataset_name": "glue"
+            },
+            "train": {
+                "name": "train",
+                "num_bytes": 758394,
+                "num_examples": 5749,
+                "dataset_name": "glue"
+            },
+            "validation": {
+                "name": "validation",
+                "num_bytes": 217012,
+                "num_examples": 1500,
+                "dataset_name": "glue"
+            }
+        },
+        "download_checksums": {
+            "https://dl.fbaipublicfiles.com/glue/data/STS-B.zip": {
+                "num_bytes": 802872,
+                "checksum": "e60a6393de5a8b5b9bac5020a1554b54e3691f9d600b775bd131e613ac179c85"
+            }
+        },
+        "download_size": 802872,
+        "post_processing_size": null,
+        "dataset_size": 1146253,
+        "size_in_bytes": 1949125
+    },
+    "mnli": {
+        "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",
+        "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
+    }
+}