seongsubae/KorMedMCQA-V
KorMedMCQA-V: A Multimodal Benchmark for Evaluating Vision-Language Models on the Korean Medical Licensing Examination KorMedMCQA-V is a multimodal multiple-choice question answering benchmark for evaluating vision-language models on the Korean Medical Licensing Examination. The dataset consists of 1,534 questions with 2,043 associated medical images from Korean Medical Licensing Examinations (2012-2023). Dataset Summary Total Questions: 1,534 Total Images: 2… See the full description on the dataset page: https://huggingface.co/datasets/seongsubae/KorMedMCQA-V.
docs: add Byungjin Choi contact email
docs: update dataset version to 1.0
docs: reorder badges (Paper, Dataset, Code, Leaderboard)
docs: add paper, code, leaderboard, and license badges
docs: restore original README with correct license (cc-by-nc-sa-4.0) and shard path
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