Update README.md

README.md

@@ -1,3 +1,65 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+task_categories:
+- image-text-to-image
+language:
+- en
+tags:
+- medical
+pretty_name: a
+size_categories:
+- 100K<n<1M
+---
+
+<div align="center">
+<h1>MieDB-100k: A Comprehensive Dataset for Medical Image Editing</h1>
+
+<a href='https://github.com/Raiiyf/MieDB-100k'><img src='https://img.shields.io/badge/Github-code-blue'></a>
+<a href='https://arxiv.org/abs/2602.09587'><img src='https://img.shields.io/badge/Arxiv-paper-red'></a>
+<a href='https://huggingface.co/datasets/Laiyf/MieDB-100k'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-MieDB 100k-yellow'></a>
+
+<p align="center"><img src="figure_1.jpg"></p>
+</div>
+
+## 📄 Introduction
+
+**MieDB-100k** is a large-scale, high-quality and diverse dataset for text-guided medical image editing, 
+which includes **112, 228** editing data, covering **69** distinct editing targets and **10** diverse medical image modalities. 
+We categorize editing tasks into three types: **Perception**, **Modification** and **Transformation**, which consider both model's intrinsic understanding and generation abilities on medical images.
+The dataset is constructed by both modality-specific expert models and rule-based data synthetic methods. 
+Additionally, for some complex tasks such as lesion modification, we introduce individuals with medical knowledge to perform manual quality checks on the data to ensure data quality.
+
+## ⚙️ Dataset Setup
+
+‼️NOTICE: We will release the train split of MieDB-100k ASAP
+
+1. Download compressed MieDB-100k dataset
+2. Extract compressed file via:
+
+Benchmark split:
+```bash
+mkdir dataBenchmark
+pv dataBenchmark_*.tar | tar -xf - -C dataBenchmark --skip-old-files
+```
+
+Train split (Coming Soon):
+```bash
+mkdir dataTrain
+pv dataTrain_*.tar | tar -xf - -C dataTrain --skip-old-files
+```
+
+Note:
+- `pv` is used for progress visualization. You can switch to `cat` if you want to extract in silence manner.
+- macOS doesn't support --skip-old-files, use `tar -xkf - -C /path/to/dst/` instead after the pipe.
+
+## 🐑 Citation
+
+```
+@article{miedb100k,
+      title={MieDB-100k: A Comprehensive Dataset for Medical Image Editing}, 
+      author={Yongfan Lai and Wen Qian and Bo Liu and Hongyan Li and Hao Luo and Fan Wang and Bohan Zhuang and Shenda Hong},
+      year={2026},
+      journel={Preprint at arXiv}
+      url={https://arxiv.org/abs/2602.09587}, 
+}
+```