GlobalMedQA — A Standardized Multilingual Dataset for Assessing Medical Knowledge in LLMs
Dataset Summary
GlobalMedQA is a harmonized multilingual dataset of medical multiple-choice questions (MCQs) designed to benchmark large language models in the healthcare domain.It integrates exam questions from 14 countries and 13 languages, standardized into a unified schema with consistent metadata and specialty classification based on the European Union of Medical Specialists… See the full description on the dataset page: https://huggingface.co/datasets/mariocedo/GlobalMedQA.