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  # WorldMedQA-V: A Multilingual, Multimodal Medical Examination Dataset
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- ![logo](src/logo.png)
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  ## Overview
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  **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, enabling the evaluation of VLMs on multimodal data.
 
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  # WorldMedQA-V: A Multilingual, Multimodal Medical Examination Dataset
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+ <img src="src/logo.png" alt="logo" width="200"/>
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  ## Overview
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  **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, enabling the evaluation of VLMs on multimodal data.