---
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.