Add dataset card with metadata, links, and usage instructions

README.md

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+---
+license: cc-by-nc-4.0
+task_categories:
+- robotics
+---
+
+# Re³Sim: Generating High-Fidelity Simulation Data via 3D-Photorealistic Real-to-Sim for Robotic Manipulation
+
+[**Project Page**](http://xshenhan.github.io/Re3Sim/) | [**Paper**](https://huggingface.co/papers/2502.08645) | [**GitHub**](https://github.com/OpenRobotLab/Re3Sim)
+
+This repository contains the simulation resources (align data, GS data, items, URDFs, and USDs) for **Re³Sim**, a 3D-photorealistic real-to-sim system designed to address geometric and visual sim-to-real gaps in robotic manipulation. Re³Sim utilizes advanced 3D reconstruction and neural rendering techniques (3D Gaussian Splatting) to faithfully recreate real-world scenarios, enabling real-time rendering of simulated cross-view cameras within a physics-based simulator.
+
+## Structure and Usage
+
+To use these resources inside the simulator, download them and place them in the following structure:
+
+```
+# in docker
+/isaac-sim/
+    - src
+        - data/
+            - align/
+            - gs-data/
+            - items/
+            - urdfs/
+            - usd/
+```
+
+Please refer to the main [Re³Sim GitHub Repository](https://github.com/OpenRobotLab/Re3Sim) for installation, dataset collection, and policy training instructions.
+
+## Citation
+
+If you find our work helpful, please cite:
+
+```latex
+@inproceedings{han2026re3sim,
+  title={RE$^3$SIM: Generating High-Fidelity Simulation Data via 3D-Photorealistic Real-to-Sim for Robotic Manipulation},
+  author={Han, Xiaoshen and Yu, Junqiu and Liu, Minghuan and Chen, Yilun and Lyu, Xiaoyang and Tian, Yang and Wang, Bolun and Zhang, Weinan and Zhang, Weinan and Pang, Jiangmiao},
+  booktitle={IEEE International Conference on Robotics and Automation (ICRA)},
+  year={2026}
+}
+```