Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
semantic-similarity-classification
Languages:
English
Size:
1K - 10K
ArXiv:
License:
Commit
•
f98f1bf
1
Parent(s):
c2853bb
Delete legacy dataset_infos.json
Browse files- dataset_infos.json +0 -49
dataset_infos.json
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{
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"default": {
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"description": "This dataset consists of 3048 similar and dissimilar medical question pairs hand-generated and labeled by Curai's doctors.\n",
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"citation": "@misc{mccreery2020effective,\n title={Effective Transfer Learning for Identifying Similar Questions: Matching User Questions to COVID-19 FAQs},\n author={Clara H. McCreery and Namit Katariya and Anitha Kannan and Manish Chablani and Xavier Amatriain},\n year={2020},\n eprint={2008.13546},\n archivePrefix={arXiv},\n primaryClass={cs.IR}\n}\n",
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"homepage": "https://github.com/curai/medical-question-pair-dataset",
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"license": "",
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"features": {
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"dr_id": {
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"dtype": "int32",
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"_type": "Value"
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},
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"question_1": {
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"dtype": "string",
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"_type": "Value"
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},
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"question_2": {
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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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0,
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1
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],
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"_type": "ClassLabel"
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}
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},
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"builder_name": "medical_questions_pairs",
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"dataset_name": "medical_questions_pairs",
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"config_name": "default",
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"version": {
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"version_str": "0.0.0",
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"major": 0,
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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": 701642,
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"num_examples": 3048,
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"dataset_name": null
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}
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},
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"download_size": 313704,
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"dataset_size": 701642,
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"size_in_bytes": 1015346
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}
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}
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