ruiyang-medinfo/GlobMed_MedMCQA

🌍 GlobMed: MedMCQA

GlobMed_MedMCQA covers 20 languages, including 13 high-resource languages (Arabic, Chinese, English, French, German, Hindi, Indonesian, Japanese, Korean, Portuguese, Russian, Spanish, and Thai) and 7 low-resource languages (Bengali, Malay, Swahili, Urdu, Wolof, Yoruba, and Zulu). | Code | ar | bn | zh | en | fr | de | hi | id | ja | ko | ms | pt | ru | es | sw | th | ur | wo | yo | zu | |:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:| | Language | Arabic | Bengali | Chinese | English | French | German | Hindi | Indonesian | Japanese | Korean | Malay | Portuguese | Russian | Spanish | Swahili | Thai | Urdu | Wolof | Yoruba | Zulu | | Resource Level | High | Low | High | High | High | High | High | High | High | High | Low | High | High | High | Low | High | Low | Low | Low | Low |

Data Structure

GlobMed_MedMCQA contains 4081 entries derived from the MedMCQA validation set.

Data Loading

from datasets import load_dataset
# load HF dataset
globmed_medmcqa = load_dataset("ruiyang-medinfo/GlobMed_MedMCQA", "en")

License

This dataset is released under the MIT License.

Citation

@article{yang2026toward,
  title={Toward Global Large Language Models in Medicine},
  author={Yang, Rui and Li, Huitao and Xuan, Weihao and Qi, Heli and Li, Xin and Yu, Kunyu and Chen, Yingjian and Wang, Rongrong and Behmoaras, Jacques and Cai, Tianxi and others},
  journal={arXiv preprint arXiv:2601.02186},
  year={2026}
}