Datasets:
Tasks:
Multiple Choice
Modalities:
Text
Formats:
parquet
Sub-tasks:
multiple-choice-qa
Languages:
English
Size:
10M<n<100M
ArXiv:
Tags:
License:
| { | |
| "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\nhttps://arxiv.org/pdf/1911.04118.pdf\n\nand\n\nhttps://research.google/pubs/pub47761/\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": "https://github.com/alexa/wqa_tanda#answer-sentence-natural-questions-asnq", | |
| "license": "", | |
| "features": { | |
| "question": { | |
| "dtype": "string", | |
| "_type": "Value" | |
| }, | |
| "sentence": { | |
| "dtype": "string", | |
| "_type": "Value" | |
| }, | |
| "label": { | |
| "names": [ | |
| "neg", | |
| "pos" | |
| ], | |
| "_type": "ClassLabel" | |
| }, | |
| "sentence_in_long_answer": { | |
| "dtype": "bool", | |
| "_type": "Value" | |
| }, | |
| "short_answer_in_sentence": { | |
| "dtype": "bool", | |
| "_type": "Value" | |
| } | |
| }, | |
| "builder_name": "parquet", | |
| "dataset_name": "asnq", | |
| "config_name": "default", | |
| "version": { | |
| "version_str": "1.0.0", | |
| "major": 1, | |
| "minor": 0, | |
| "patch": 0 | |
| }, | |
| "splits": { | |
| "train": { | |
| "name": "train", | |
| "num_bytes": 3656865072, | |
| "num_examples": 20377568, | |
| "dataset_name": null | |
| }, | |
| "validation": { | |
| "name": "validation", | |
| "num_bytes": 168004403, | |
| "num_examples": 930062, | |
| "dataset_name": null | |
| } | |
| }, | |
| "download_size": 2496835395, | |
| "dataset_size": 3824869475, | |
| "size_in_bytes": 6321704870 | |
| } | |
| } |