Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
parquet
Sub-tasks:
extractive-qa
Languages:
English
Size:
10K - 100K
ArXiv:
License:
Commit
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7e8df12
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Parent(s):
239fef9
Delete legacy dataset_infos.json
Browse files- dataset_infos.json +0 -67
dataset_infos.json
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{
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"plain_text": {
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"description": "ROPES (Reasoning Over Paragraph Effects in Situations) is a QA dataset\nwhich tests a system's ability to apply knowledge from a passage\nof text to a new situation. A system is presented a background\npassage containing a causal or qualitative relation(s) (e.g.,\n\"animal pollinators increase efficiency of fertilization in flowers\"),\na novel situation that uses this background, and questions that require\nreasoning about effects of the relationships in the background\npassage in the background of the situation.\n",
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"citation": "@inproceedings{Lin2019ReasoningOP,\n title={Reasoning Over Paragraph Effects in Situations},\n author={Kevin Lin and Oyvind Tafjord and Peter Clark and Matt Gardner},\n booktitle={MRQA@EMNLP},\n year={2019}\n}\n",
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"homepage": "https://allenai.org/data/ropes",
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"license": "CC BY 4.0",
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"features": {
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"id": {
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"dtype": "string",
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"_type": "Value"
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},
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"background": {
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"dtype": "string",
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"_type": "Value"
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},
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"situation": {
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"dtype": "string",
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"_type": "Value"
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},
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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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"answers": {
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"feature": {
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"text": {
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"dtype": "string",
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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": "ropes",
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"dataset_name": "ropes",
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"config_name": "plain_text",
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"version": {
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"version_str": "1.1.0",
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"major": 1,
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"minor": 1,
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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": 12231892,
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"num_examples": 10924,
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"dataset_name": null
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},
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"test": {
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"name": "test",
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"num_bytes": 1928508,
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"num_examples": 1710,
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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": 1643474,
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"num_examples": 1688,
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"dataset_name": null
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}
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},
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"download_size": 1372548,
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"dataset_size": 15803874,
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"size_in_bytes": 17176422
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}
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}
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