Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
semantic-similarity-classification
Languages:
English
Size:
1K - 10K
ArXiv:
License:
File size: 1,786 Bytes
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{
"default": {
"description": "This dataset consists of 3048 similar and dissimilar medical question pairs hand-generated and labeled by Curai's doctors.\n",
"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",
"homepage": "https://github.com/curai/medical-question-pair-dataset",
"license": "",
"features": {
"dr_id": {
"dtype": "int32",
"_type": "Value"
},
"question_1": {
"dtype": "string",
"_type": "Value"
},
"question_2": {
"dtype": "string",
"_type": "Value"
},
"label": {
"names": [
0,
1
],
"_type": "ClassLabel"
}
},
"builder_name": "medical_questions_pairs",
"dataset_name": "medical_questions_pairs",
"config_name": "default",
"version": {
"version_str": "0.0.0",
"major": 0,
"minor": 0,
"patch": 0
},
"splits": {
"train": {
"name": "train",
"num_bytes": 701642,
"num_examples": 3048,
"dataset_name": null
}
},
"download_size": 313704,
"dataset_size": 701642,
"size_in_bytes": 1015346
}
} |