metadata
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 | [📖 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.