Datasets:
File size: 4,158 Bytes
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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](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*](https://www.mdpi.com/2076-3417/11/14/6421) (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}
}
```
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