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--- |
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language: |
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- fa |
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size_categories: |
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- n<1K |
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task_categories: |
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- visual-question-answering |
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- multiple-choice |
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- question-answering |
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pretty_name: PerMed-MM |
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configs: |
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- config_name: default |
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data_files: |
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- split: test |
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path: PerMed-MM.json |
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tags: |
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- medical |
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--- |
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# PerMed-MM: A Multimodal, Multi-Specialty Persian Medical Benchmark |
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[**🤗 Dataset**](https://huggingface.co/datasets/universitytehran/PerMed-MM) | [**📖 Paper (Link)**] |
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## Dataset Description |
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**PerMed-MM** is the first multimodal, multi-specialty benchmark for evaluating Vision Language Models (VLMs) on **Persian** medical question answering. |
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The dataset comprises **733 multiple-choice questions** sourced from the Iranian National Medical Board Exams. Each question is paired with **one to five clinically relevant images**, totaling **944 images**. The benchmark spans **46 medical specialties** and covers a wide range of visual modalities, including radiographic images, histopathology slides, dermatologic photographs, and ECG waveforms. |
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