glue / dataset_infos.json
albertvillanova's picture
Add qqp data files
169a67d
raw
history blame
37 kB
{
"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",
"dataset_name": "glue",
"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": 326394,
"dataset_size": 605704,
"size_in_bytes": 932098
},
"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",
"homepage": "https://datasets.stanford.edu/sentiment/index.html",
"license": "",
"features": {
"sentence": {
"dtype": "string",
"_type": "Value"
},
"label": {
"names": [
"negative",
"positive"
],
"_type": "ClassLabel"
},
"idx": {
"dtype": "int32",
"_type": "Value"
}
},
"builder_name": "glue",
"dataset_name": "glue",
"config_name": "sst2",
"version": {
"version_str": "1.0.0",
"description": "",
"major": 1,
"minor": 0,
"patch": 0
},
"splits": {
"train": {
"name": "train",
"num_bytes": 4681603,
"num_examples": 67349,
"dataset_name": null
},
"validation": {
"name": "validation",
"num_bytes": 106252,
"num_examples": 872,
"dataset_name": null
},
"test": {
"name": "test",
"num_bytes": 216640,
"num_examples": 1821,
"dataset_name": null
}
},
"download_size": 3331080,
"dataset_size": 5004495,
"size_in_bytes": 8335575
},
"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",
"homepage": "https://www.microsoft.com/en-us/download/details.aspx?id=52398",
"license": "",
"features": {
"sentence1": {
"dtype": "string",
"_type": "Value"
},
"sentence2": {
"dtype": "string",
"_type": "Value"
},
"label": {
"names": [
"not_equivalent",
"equivalent"
],
"_type": "ClassLabel"
},
"idx": {
"dtype": "int32",
"_type": "Value"
}
},
"builder_name": "glue",
"dataset_name": "glue",
"config_name": "mrpc",
"version": {
"version_str": "1.0.0",
"description": "",
"major": 1,
"minor": 0,
"patch": 0
},
"splits": {
"train": {
"name": "train",
"num_bytes": 943843,
"num_examples": 3668,
"dataset_name": null
},
"validation": {
"name": "validation",
"num_bytes": 105879,
"num_examples": 408,
"dataset_name": null
},
"test": {
"name": "test",
"num_bytes": 442410,
"num_examples": 1725,
"dataset_name": null
}
},
"download_size": 1033400,
"dataset_size": 1492132,
"size_in_bytes": 2525532
},
"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",
"_type": "Value"
},
"question2": {
"dtype": "string",
"_type": "Value"
},
"label": {
"names": [
"not_duplicate",
"duplicate"
],
"_type": "ClassLabel"
},
"idx": {
"dtype": "int32",
"_type": "Value"
}
},
"builder_name": "glue",
"dataset_name": "glue",
"config_name": "qqp",
"version": {
"version_str": "1.0.0",
"description": "",
"major": 1,
"minor": 0,
"patch": 0
},
"splits": {
"train": {
"name": "train",
"num_bytes": 50900820,
"num_examples": 363846,
"dataset_name": null
},
"validation": {
"name": "validation",
"num_bytes": 5653754,
"num_examples": 40430,
"dataset_name": null
},
"test": {
"name": "test",
"num_bytes": 55171111,
"num_examples": 390965,
"dataset_name": null
}
},
"download_size": 73982265,
"dataset_size": 111725685,
"size_in_bytes": 185707950
},
"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
}
}