MedMCQA
MedMCQA数据集是一个大规模医学多选题库，专为真实世界医学入学考试设计，汇总了来自印度全印医学科学研究所(AIIMS)和国家资格暨入学考试(NEET PG)的超过194,000道精选试题。这些题目不仅涵盖2,400多个医疗主题和21个医学专业领域，而且平均长度精确控制在12.77个词元(token)，充分体现了医学理论与临床知识的深度，以及数据集对质量和专业多样性的严格要求。
xianweichengxiang可视化图片
MedMCQA_0.png
MedMCQA_1.webp
MedMCQA_2.webp
数据集元信息
| 模态 | other |
| 任务类型 | other |
| 解剖结构 | 全身 |
| 解剖区域 | 全身 |
| 数据量 | 193,155 |
| 文件格式 | .json |
文件结构
MedMCQA
│
└── data
├── dev.json
├── test.json
└── train.json图像尺寸统计
| 统计类型 | 间距 (mm) | 尺寸 |
|---|---|---|
| 最小值 | - |
- |
| 中位值 | - |
- |
| 最大值 | - |
- |
引用
@InProceedings{pmlr-v174-pal22a,
title = {MedMCQA: A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering},
author = {Pal, Ankit and Umapathi, Logesh Kumar and Sankarasubbu, Malaikannan},
booktitle = {Proceedings of the Conference on Health, Inference, and Learning},
pages = {248--260},
year = {2022},
editor = {Flores, Gerardo and Chen, George H and Pollard, Tom and Ho, Joyce C and Naumann, Tristan},
volume = {174},
series = {Proceedings of Machine Learning Research},
month = {07--08 Apr},
publisher = {PMLR},
pdf = {https://proceedings.mlr.press/v174/pal22a/pal22a.pdf},
url = {https://proceedings.mlr.press/v174/pal22a.html},
abstract = {This paper introduces MedMCQA, a new large-scale, Multiple-Choice Question Answering (MCQA) dataset designed to address real-world medical entrance exam questions. More than 194k high-quality AIIMS & NEET PG entrance exam MCQs covering 2.4k healthcare topics and 21 medical subjects are collected with an average token length of 12.77 and high topical diversity. Each sample contains a question, correct answer(s), and other options which requires a deeper language understanding as it tests the 10+ reasoning abilities of a model across a wide range of medical subjects & topics. A detailed explanation of the solution, along with the above information, is provided in this study.}
}