Datasets:

Languages:
English
Multilinguality:
monolingual
Size Categories:
10M<n<100M
Language Creators:
found
Annotations Creators:
crowdsourced
ArXiv:
Tags:
License:
albertvillanova HF staff commited on
Commit
c7871a3
1 Parent(s): e12fccd

Delete legacy dataset_infos.json

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  1. dataset_infos.json +0 -59
dataset_infos.json DELETED
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- {
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- "default": {
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- "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",
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- "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",
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- "homepage": "https://github.com/alexa/wqa_tanda#answer-sentence-natural-questions-asnq",
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- "license": "",
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- "features": {
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- "question": {
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- "dtype": "string",
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- "_type": "Value"
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- },
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- "sentence": {
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- "dtype": "string",
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- "_type": "Value"
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- },
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- "label": {
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- "names": [
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- "neg",
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- "pos"
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- ],
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- "_type": "ClassLabel"
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- },
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- "sentence_in_long_answer": {
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- "dtype": "bool",
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- "_type": "Value"
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- },
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- "short_answer_in_sentence": {
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- "dtype": "bool",
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- "_type": "Value"
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- }
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- },
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- "builder_name": "parquet",
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- "dataset_name": "asnq",
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- "config_name": "default",
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- "version": {
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- "version_str": "1.0.0",
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- },
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- "name": "train",
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- "dataset_name": null
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- },
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- "dataset_name": null
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- "size_in_bytes": 6321704870
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- }
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- }