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.
| Author / organization | seongsubae |
|---|---|
| License (as declared) | cc-by-nc-sa-4.0 |
| Downloads | 267 (as reported by Hugging Face) |
| Likes | 9 |
| Created | 17 February 2026 |
| Last updated at source | 17 February 2026 |
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- 17 Oct 2026 Description: 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 Ko → 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 Ko
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