Update README.md

README.md

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 license: cc-by-4.0
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+# Dataset Card for DexCap-Data
+
+## Dataset Description
+
+- **Homepage:** https://dex-cap.github.io/
+- **Repository:** https://github.com/j96w/DexCap
+- **Paper:** https://arxiv.org/abs/2403.07788
+
+### Dataset Summary
+
+This is the official dataset collected by the DexCap system to train dexterous robot manipulation using human hand motion capture data, as presented in the [paper](https://arxiv.org/abs/2403.07788). It contains 30 minutes of mocap data for the wiping task and 60 minutes of in-the-wild mocap data for the packaging task.
+
+## Dataset Structure
+
+Both raw data (`.zip`) and postprocessed data (`.hdf5`) are provided. The raw data is structured as follows:
+```
+save_data_scenario_1
+├── frame_0
+│   ├── color_image.jpg           # Chest camera RGB image
+│   ├── depth_image.png           # Chest camera depth image
+│   ├── pose.txt                  # Chest camera 6-DoF pose in world frame
+│   ├── pose_2.txt                # Left hand 6-DoF pose in world frame
+│   ├── pose_3.txt                # Right hand 6_DoF pose in world frame
+│   ├── left_hand_joint.txt       # Left hand joint positions (3D) in the palm frame
+│   └── right_hand_joint.txt      # Right hand joint positions (3D) in the palm frame
+├── frame_1
+└── ...
+```
+Details on how to postprocess the raw data into a training dataset (`.hdf5`) are introduced in the [GitHub repo](https://github.com/j96w/DexCap). The training scripts for policy learning with the HDF5 dataset are also included in the repo.
+
+## Dataset Creation
+
+All data are collected by the [DexCap system](https://dex-cap.github.io/).
+
+## Additional Information
+
+### Licensing Information
+
+This dataset is released under the [Creative Commons Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/legalcode) license.
+
+### Citation Information
+
+```bibtex
+@article{wang2024dexcap,
+  title = {DexCap: Scalable and Portable Mocap Data Collection System for Dexterous Manipulation},
+  author = {Wang, Chen and Shi, Haochen and Wang, Weizhuo and Zhang, Ruohan and Fei-Fei, Li and Liu, C. Karen},
+  journal = {arXiv preprint arXiv:2403.07788},
+  year = {2024}
+}
+```