README.md

metadata

language:
  - en
  - zh
  - tw
license: mit
tags:
  - text
  - question-and-answer
pretty_name: MedQA
task_categories:
  - question-answering
configs:
  - config_name: en
    data_files:
      - split: train
        path: data/questions/en/train.jsonl
      - split: dev
        path: data/questions/en/dev.jsonl
      - split: test
        path: data/questions/en/test.jsonl
      - split: all_splits
        path: data/questions/en/all_splits.jsonl
  - config_name: tw
    data_files:
      - split: train
        path: data/questions/tw/train.jsonl
      - split: dev
        path: data/questions/tw/dev.jsonl
      - split: test
        path: data/questions/tw/test.jsonl
      - split: all_splits
        path: data/questions/tw/all_splits.jsonl
  - config_name: zh
    data_files:
      - split: train
        path: data/questions/zh/train.jsonl
      - split: dev
        path: data/questions/zh/dev.jsonl
      - split: test
        path: data/questions/zh/test.jsonl
      - split: all_splits
        path: data/questions/zh/all_splits.jsonl
  - config_name: xlang
    data_files:
      - split: train
        path: data/questions/xlang/train.jsonl
      - split: dev
        path: data/questions/xlang/dev.jsonl
      - split: test
        path: data/questions/xlang/test.jsonl
      - split: all_splits
        path: data/questions/xlang/all_splits.jsonl
  - config_name: en_5
    data_files:
      - split: train
        path: data/questions/en_5/train.jsonl
      - split: dev
        path: data/questions/en_5/dev.jsonl
      - split: test
        path: data/questions/en_5/test.jsonl
      - split: all_splits
        path: data/questions/en_5/all_splits.jsonl
  - config_name: zh_5
    data_files:
      - split: train
        path: data/questions/zh_5/train.jsonl
      - split: dev
        path: data/questions/zh_5/dev.jsonl
      - split: test
        path: data/questions/zh_5/test.jsonl
      - split: all_splits
        path: data/questions/zh_5/all_splits.jsonl

Dataset Card for MedQA

• Homepage: https://github.com/jind11/MedQA
  • This is an unofficial curation of the MedQA dataset, uploaded here with minimal (i.e., no content-modifying) processing.
• Paper: What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams (MDPI)
• Languages: English (en), Taiwanese (tw), and Chinese (zh).

Dataset Subsets

This dataset contains multiple configs:

• QA with four possible answers (as reported in the paper)
  • en: English instances
  • tw: Taiwanese instances
  • zh: Chinese instances
  • xlang: instances in any language
• QA with five possible answers (the original datasets for English and Chinese)
  • en_5
  • zh_5

Data can be loaded by specifying the config and data split:

from datasets import load_dataset

data = load_dataset("mathewhe/medqa", "en", split="train")

Possible splits are "train", "dev", and "test".

Dataset Structure

Each data subset will contain the following columns:

question (string): The question/prompt.
answer: The correct response.
answer_idx: The multiple-choice identifier for the correct response.
A: The "A" answer.
B: The "B" answer.
C: The "C" answer.
D: The "D" answer.
E (in `en_5` or `zh_5` subsets): The "E" answer.
language: "en", "tw", or "zh".

Example from en-train:

question	answer	meta_info	answer_idx	A	B	C	D	language
A 23-year-old pregna...	Nitrofurantoin	step2&3	D	Ampicillin	Ceftriaxone	Doxycycline	Nitrofurantoin	en

Citation Information

For reproducibility, please include a link to this dataset when publishing results based on the included data.

For formal citations, please cite the original publication:

@article{jin2020disease,
  title={What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams},
  author={Jin, Di and Pan, Eileen and Oufattole, Nassim and Weng, Wei-Hung and Fang, Hanyi and Szolovits, Peter},
  journal={arXiv preprint arXiv:2009.13081},
  year={2020}
}