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---
language:
- fa
size_categories:
- n<1K
task_categories:
- visual-question-answering
- multiple-choice
- question-answering
pretty_name: PerMed-MM
configs:
- config_name: default
data_files:
- split: test
path: PerMed-MM.json
tags:
- medical
---
# PerMed-MM: A Multimodal, Multi-Specialty Persian Medical Benchmark
[**🤗 Dataset**](https://huggingface.co/datasets/universitytehran/PerMed-MM) | [**📖 Paper (Link)**]
## Dataset Description
**PerMed-MM** is the first multimodal, multi-specialty benchmark for evaluating Vision Language Models (VLMs) on **Persian** medical question answering.
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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