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README.md
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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.
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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.
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