--- license: cc-by-4.0 --- # Dataset Card for DexCap-Data ## Table of Contents - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Dataset Structure](#dataset-structure) - [Dataset Creation](#dataset-creation) - [Additional Information](#additional-information) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) ## 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} } ```