Upload dataset_infos.json

dataset_infos.json

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+{"cestwc--lsnli-sim": {"description": "The SNLI corpus (version 1.0) is a collection of 570k human-written English\nsentence pairs manually labeled for balanced classification with the labels\nentailment, contradiction, and neutral, supporting the task of natural language\ninference (NLI), also known as recognizing textual entailment (RTE).\n", "citation": "@inproceedings{snli:emnlp2015,\n\tAuthor = {Bowman, Samuel R. and Angeli, Gabor and Potts, Christopher, and Manning, Christopher D.},\n\tBooktitle = {Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP)},\n\tPublisher = {Association for Computational Linguistics},\n\tTitle = {A large annotated corpus for learning natural language inference},\n\tYear = {2015}\n}\n", "homepage": "https://nlp.stanford.edu/projects/snli/", "license": "", "features": {"premise": {"dtype": "string", "id": null, "_type": "Value"}, "hypothesis": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 3, "names": ["entailment", "neutral", "contradiction"], "id": null, "_type": "ClassLabel"}, "probability": {"dtype": "float64", "id": null, "_type": "Value"}, "explanation_1": {"dtype": "string", "id": null, "_type": "Value"}, "explanation_2": {"dtype": "string", "id": null, "_type": "Value"}, "explanation_3": {"dtype": "string", "id": null, "_type": "Value"}, "premise_logic": {"dtype": "string", "id": null, "_type": "Value"}, "hypothesis_logic": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "string", "id": null, "_type": "Value"}, "premise_sim": {"dtype": "string", "id": null, "_type": "Value"}, "hypothesis_sim": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "snli", "config_name": "plain_text", "version": {"version_str": "1.0.0", "description": "New split API (https://tensorflow.org/datasets/splits)", "major": 1, "minor": 0, "patch": 0}, "splits": {"validation": {"name": "validation", "num_bytes": 10602177.0012, "num_examples": 8941, "dataset_name": "lsnli-sim"}, "train": {"name": "train", "num_bytes": 103040762.13198534, "num_examples": 186438, "dataset_name": "lsnli-sim"}, "test": {"name": "test", "num_bytes": 10336615.6482, "num_examples": 8823, "dataset_name": "lsnli-sim"}}, "download_checksums": null, "download_size": 50476880, "post_processing_size": null, "dataset_size": 123979554.78138535, "size_in_bytes": 174456434.78138536}}