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MedQA_USMLE_multilingual

Domaine:

natural language processinghealthcare

Type de record:

dataset
Créateur:
HanRicZhuLiu
Éditeur:
fig
Hôte:avatar
This dataset evaluates whether LLM translation can offset low-resource language limitations in medical QA. We translated 442 MedQA questions into Hindi, Arabic, Bengali, and Portuguese, then benchmarked four LLMs. Results show substantial accuracy drops in non-Latin low-resource languages, highlighting health equity risks in multilingual medical AI.