Add dataset card, paper link, and sample usage

README.md

@@ -1,3 +1,66 @@
 ---
 license: mit
+task_categories:
+- robotics
 ---
+
+# Deform360: A Massive Multi-view Visuotactile Dataset for Deformable World Models
+
+[Project Page](https://deform360.lhy.xyz/) | [Paper](https://huggingface.co/papers/2607.05390) | [GitHub Repository](https://github.com/lhy0807/deform360)
+
+**Deform360** is a massive multi-view visuotactile dataset for deformable-object research, featuring 198 daily-life objects, 1,980 interaction sequences, and over 215 hours of observations from 41 surround-view cameras and bimanual tactile grippers to capture both global motion and contact-induced local deformations.
+
+## Installation
+
+To load and interact with the dataset, install the helper library:
+
+```bash
+git clone https://github.com/lhy0807/deform360.git
+cd deform360
+pip install -e ".[all]"
+```
+
+## Sample Usage
+
+### Loading Aligned Multi-View Data
+
+The `MultiViewDataset` class returns synchronized RGB frames, calibration, and the common timestamp. It is compatible with the Dataset protocol but does not require PyTorch.
+
+```python
+from deform360 import MultiViewDataset
+
+episode = "/path/to/deform360_data/processed/001-rope/episode_0000"
+with MultiViewDataset(episode) as dataset:
+    sample = dataset[0]
+
+sample["images"]         # list[(H,W,3) uint8 RGB]
+sample["intrinsics"]     # list[(3,3)]
+sample["extrinsics"]     # list[(4,4) camera-to-world]
+sample["cameras"]        # camera names
+sample["timestamp_us"]   # shared Unix timestamp in microseconds
+```
+
+### Loading Aligned Tactile Data
+
+Load all synchronized tactile grids at the same frame index with:
+
+```python
+from deform360 import TactileDataset
+
+episode = "/path/to/deform360_data/processed/001-rope/episode_0000"
+with TactileDataset(episode) as tactile:
+    frame = tactile[0]        # sensor name -> (16,32) float32
+```
+
+## Citation
+
+If you find Deform360 useful, please cite:
+
+```bibtex
+@inproceedings{li2026deform360,
+  title     = {Deform360: A Massive Multi-view Visuotactile Dataset for Deformable World Models},
+  author    = {Li, Hongyu and Fu, Wanjia and Cong, Xiaoyan and Li, Zekun and Huang, Binghao and Jiang, Hanxiao and He, Xintong and Liang, Yiqing and Fu, Rao and Lu, Tao and Sridhar, Srinath and Smith, Kevin A. and Konidaris, George and Li, Yunzhu},
+  booktitle = {European Conference on Computer Vision (ECCV)},
+  year      = {2026}
+}
+```