Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
semantic-similarity-classification
Languages:
English
Size:
1K - 10K
ArXiv:
License:
{ | |
"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 | |
} | |
} |