ruiyang-medinfo/GlobMed_HeadQA

🌍 GlobMed: HeadQA

GlobMed_HeadQA 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_HeadQA contains 4,382 entries, which are split into 2,164 training entries and 2,218 test entries.

<language>
├── train.json
└── test.json

Data Loading

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

globmed_headqa_train = globmed_headqa["train"]
globmed_headqa_test = globmed_headqa["test"]

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}
}