Datasets:
flue

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The goal is to enable further reproducible experiments in the future and to share models and progress on the French language.\n", "citation": "@InProceedings{pawsx2019emnlp,\n title = {{PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification}},\n author = {Yang, Yinfei and Zhang, Yuan and Tar, Chris and Baldridge, Jason},\n booktitle = {Proc. of EMNLP},\n year = {2019}\n}\n@misc{le2019flaubert,\n title={FlauBERT: Unsupervised Language Model Pre-training for French},\n author={Hang Le and Lo\u00efc Vial and Jibril Frej and Vincent Segonne and Maximin Coavoux and Benjamin Lecouteux and Alexandre Allauzen and Beno\u00eet Crabb\u00e9 and Laurent Besacier and Didier Schwab},\n year={2019},\n eprint={1912.05372},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}\n", "homepage": "https://github.com/google-research-datasets/paws/tree/master/pawsx", "license": "", "features": {"sentence1": {"dtype": "string", "id": null, "_type": "Value"}, "sentence2": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"dtype": "int32", "id": null, "_type": "Value"}, "idx": {"dtype": "int32", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "flue", "config_name": "PAWS-X", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"validation": {"name": "validation", "num_bytes": 522013, "num_examples": 1988, "dataset_name": "flue"}, "test": {"name": "test", "num_bytes": 526953, "num_examples": 2000, "dataset_name": "flue"}, "train": {"name": "train", "num_bytes": 13096677, "num_examples": 49399, "dataset_name": "flue"}}, "download_checksums": {"https://storage.googleapis.com/paws/pawsx/x-final.tar.gz": {"num_bytes": 30282057, "checksum": "4146db499101d66e68ae4c8ed3cf9dadecd625f44b7d8cf3d4a0fe93afc4fd9f"}}, "download_size": 30282057, "post_processing_size": null, "dataset_size": 14145643, "size_in_bytes": 44427700}, "XNLI": {"description": "FLUE is an evaluation setup for French NLP systems similar to the popular GLUE benchmark. The goal is to enable further reproducible experiments in the future and to share models and progress on the French language.\n", "citation": "@InProceedings{conneau2018xnli,\nauthor = {Conneau, Alexis\n and Rinott, Ruty\n and Lample, Guillaume\n and Williams, Adina\n and Bowman, Samuel R.\n and Schwenk, Holger\n and Stoyanov, Veselin},\ntitle = {XNLI: Evaluating Cross-lingual Sentence Representations},\nbooktitle = {Proceedings of the 2018 Conference on Empirical Methods\n in Natural Language Processing},\nyear = {2018},\npublisher = {Association for Computational Linguistics},\nlocation = {Brussels, Belgium},\n}\n@misc{le2019flaubert,\n title={FlauBERT: Unsupervised Language Model Pre-training for French},\n author={Hang Le and Lo\u00efc Vial and Jibril Frej and Vincent Segonne and Maximin Coavoux and Benjamin Lecouteux and Alexandre Allauzen and Beno\u00eet Crabb\u00e9 and Laurent Besacier and Didier Schwab},\n year={2019},\n eprint={1912.05372},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}\n", "homepage": "https://www.nyu.edu/projects/bowman/xnli/", "license": "", "features": {"premise": {"dtype": "string", "id": null, "_type": "Value"}, "hypo": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 3, "names": ["contradiction", "entailment", "neutral"], "names_file": null, "id": null, "_type": "ClassLabel"}, "idx": {"dtype": "int32", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "flue", "config_name": "XNLI", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"validation": {"name": "validation", "num_bytes": 520022, "num_examples": 2490, "dataset_name": "flue"}, "test": {"name": "test", "num_bytes": 1048999, "num_examples": 5010, "dataset_name": "flue"}, "train": {"name": "train", "num_bytes": 87373154, "num_examples": 392702, "dataset_name": "flue"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/XNLI/XNLI-MT-1.0.zip": {"num_bytes": 466098360, "checksum": "f732517ba2fb1d550e9f3c2aabaef6017c91ee2dcec90e878f138764d224db05"}, "https://dl.fbaipublicfiles.com/XNLI/XNLI-1.0.zip": {"num_bytes": 17865352, "checksum": "4ba1d5e1afdb7161f0f23c66dc787802ccfa8a25a3ddd3b165a35e50df346ab1"}}, "download_size": 483963712, "post_processing_size": null, "dataset_size": 88942175, "size_in_bytes": 572905887}, "WSD-V": {"description": "FLUE is an evaluation setup for French NLP systems similar to the popular GLUE benchmark. 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