Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
parquet
Sub-tasks:
extractive-qa
Languages:
English
Size:
1K - 10K
ArXiv:
Tags:
conversational-qa
License:
Commit
·
06bdab8
1
Parent(s):
9df4273
Delete legacy dataset_infos.json
Browse files- dataset_infos.json +0 -68
dataset_infos.json
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{
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"default": {
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"description": "CoQA: A Conversational Question Answering Challenge\n",
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"citation": "@article{reddy-etal-2019-coqa,\n title = \"{C}o{QA}: A Conversational Question Answering Challenge\",\n author = \"Reddy, Siva and\n Chen, Danqi and\n Manning, Christopher D.\",\n journal = \"Transactions of the Association for Computational Linguistics\",\n volume = \"7\",\n year = \"2019\",\n address = \"Cambridge, MA\",\n publisher = \"MIT Press\",\n url = \"https://aclanthology.org/Q19-1016\",\n doi = \"10.1162/tacl_a_00266\",\n pages = \"249--266\",\n}\n",
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"homepage": "https://stanfordnlp.github.io/coqa/",
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"license": "",
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"features": {
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"source": {
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"dtype": "string",
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"_type": "Value"
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},
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"story": {
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"dtype": "string",
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"_type": "Value"
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},
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"questions": {
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"feature": {
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"dtype": "string",
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"_type": "Value"
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},
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"_type": "Sequence"
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},
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"answers": {
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"feature": {
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"input_text": {
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"dtype": "string",
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"_type": "Value"
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},
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"answer_start": {
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"dtype": "int32",
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"_type": "Value"
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},
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"answer_end": {
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"dtype": "int32",
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"_type": "Value"
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}
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},
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"_type": "Sequence"
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}
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},
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"builder_name": "coqa",
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"dataset_name": "coqa",
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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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"major": 1,
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"minor": 0,
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"patch": 0
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},
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"splits": {
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"train": {
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"name": "train",
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"num_bytes": 17953365,
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"num_examples": 7199,
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"dataset_name": null
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},
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"validation": {
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"name": "validation",
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"num_bytes": 1223427,
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"num_examples": 500,
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"dataset_name": null
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}
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},
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"download_size": 12187487,
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"dataset_size": 19176792,
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"size_in_bytes": 31364279
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}
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}
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