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albertvillanova HF staff commited on
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Delete legacy dataset_infos.json

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  1. dataset_infos.json +0 -65
dataset_infos.json DELETED
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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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- }
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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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- },
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- "train": {
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- "name": "train",
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- "num_bytes": 105572506,
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- "dataset_name": null
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- },
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- "name": "validation",
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- "num_examples": 9535,
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- }
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- },
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- "size_in_bytes": 128848648
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- }
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- }