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.
| Author / organization | WorldMedQA |
|---|---|
| Downloads | 432 (as reported by Hugging Face) |
| Likes | 19 |
| Created | 3 October 2024 |
| Last updated at source | 17 October 2024 |
Recent changes
- 16 Oct 2026 Description: 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 → 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
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