WorldMedQA/V

WorldMedQA-V: A Multilingual, Multimodal Medical Examination Dataset Overview WorldMedQA-V is a multilingual and multimodal benchmarking dataset designed to evaluate vision-language models (VLMs) in healthcare contexts. The dataset includes medical examination questions from four countries—Brazil, Israel, Japan, and Spain—in both their original languages and English translations. Each multiple-choice question is paired with a corresponding medical image… See the full description on the dataset page: https://huggingface.co/datasets/WorldMedQA/V.