asnq / dataset_infos.json
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Update files from the datasets library (from 1.1.3)
{"default": {"description": "ASNQ is a dataset for answer sentence selection derived from\nGoogle's Natural Questions (NQ) dataset (Kwiatkowski et al. 2019).\n\nEach example contains a question, candidate sentence, label indicating whether or not\nthe sentence answers the question, and two additional features -- \nsentence_in_long_answer and short_answer_in_sentence indicating whether ot not the \ncandidate sentence is contained in the long_answer and if the short_answer is in the candidate sentence.\n\nFor more details please see \n\n\nand \n\n\n", "citation": "@article{garg2019tanda,\n title={TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection},\n author={Siddhant Garg and Thuy Vu and Alessandro Moschitti},\n year={2019},\n eprint={1911.04118},\n}\n", "homepage": "", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 2, "names": ["neg", "pos"], "names_file": null, "id": null, "_type": "ClassLabel"}, "sentence_in_long_answer": {"dtype": "bool", "id": null, "_type": "Value"}, "short_answer_in_sentence": {"dtype": "bool", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "asnq", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 3656881376, "num_examples": 20377568, "dataset_name": "asnq"}, "validation": {"name": "validation", "num_bytes": 168005155, "num_examples": 930062, "dataset_name": "asnq"}}, "download_checksums": {"": {"num_bytes": 3563857920, "checksum": "4211d3e507e7cfa345a9eea3c5222b7d79fd963cf27407555c5558c37344ddf1"}}, "download_size": 3563857920, "post_processing_size": null, "dataset_size": 3824886531, "size_in_bytes": 7388744451}}