Create README.md

README.md

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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.
+
+