Datasets:
Languages:
English
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Language Creators:
crowdsourced
Annotations Creators:
crowdsourced
Source Datasets:
original
ArXiv:
Tags:
License:
Commit
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c9e8b5f
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Parent(s):
1251ea3
Delete legacy dataset_infos.json
Browse files- dataset_infos.json +0 -65
dataset_infos.json
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{
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"default": {
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"description": "DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs.\n. DROP is a crowdsourced, adversarially-created, 96k-question benchmark, in which a system must resolve references in a\nquestion, perhaps to multiple input positions, and perform discrete operations over them (such as addition, counting, or\n sorting). These operations require a much more comprehensive understanding of the content of paragraphs than what was\n necessary for prior datasets.\n",
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"citation": "@inproceedings{Dua2019DROP,\n author={Dheeru Dua and Yizhong Wang and Pradeep Dasigi and Gabriel Stanovsky and Sameer Singh and Matt Gardner},\n title={DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs},\n booktitle={Proc. of NAACL},\n year={2019}\n}\n",
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"homepage": "https://allennlp.org/drop",
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"license": "",
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"features": {
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"section_id": {
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"dtype": "string",
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"_type": "Value"
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},
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"query_id": {
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"dtype": "string",
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"_type": "Value"
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},
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"passage": {
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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_spans": {
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"feature": {
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"spans": {
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"dtype": "string",
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"_type": "Value"
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},
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"types": {
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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": "drop",
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"dataset_name": "drop",
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"config_name": "default",
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"version": {
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"version_str": "0.1.0",
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"major": 0,
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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": 105572506,
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"num_examples": 77400,
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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": 11737755,
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"num_examples": 9535,
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"dataset_name": null
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}
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},
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"download_size": 11538387,
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"dataset_size": 117310261,
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"size_in_bytes": 128848648
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}
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}
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