Create README.md

README.md

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+---
+license: cc-by-4.0
+tags:
+- robotics
+- healthcare
+pretty_name: Open-H-Embodiment
+---
+
+## Dataset Description:
+
+Open-H-Embodiment is a community‑driven dataset initiative building the open, shared foundation needed to train and evaluate AI models for healthcare robotics. 
+
+This dataset is a multi-embodiment collection of LeRobot datasets of paired kinematics and video, across tasks such as tabletop exercises, clinical procedures, as well as simulations of healthcare robotics applications.  
+
+## Maintainer / Hosting Organization: 
+
+NVIDIA Corporation
+
+## Contributing Organizations:
+
+Balgrist, CMR, CUHK, GBU (China), HKBU, Hamlyn, ImFusion, JHU, Leeds, MBZUAI (UAE), Moon Surgical, NVIDIA, Northwell, Obuda, PolyU (HK), Qilu Hospital of Shandong University, Rob Surgical, Sanoscience, SDSC, Semaphor, Stanford, TUD, TUM, Tuodao, Turin, UCB, UCSD, UIC, UTenn, UTexas, Vanderbilt, Virtual Incision
+
+## Dataset Stewardship: 
+
+Open-H-Embodiment community & Steering Group
+
+## Dataset Creation Date:
+February 2026 
+
+## License/Terms of Use: 
+CC-BY-4.0
+
+## Intended Usage:
+Researchers and builders interested in training healthcare robotics autonomy models, world foundation models, or vision language models.
+
+## Dataset Characterization
+** Data Collection Method<br>
+* Hybrid: Human, Automatic/Sensors, Synthetic
+
+** Labeling Method<br>
+* Hybrid: Human, Automatic/Sensors, Synthetic 
+
+## Dataset Format
+LeRobot v2.1
+
+Video stored as MP4 files per episode
+Kinematics stored as Parquet files.
+Metadata manifest as JSON/JSONL, linking each Parquet row to corresponding video.
+
+## Dataset Quantification
+750 hours of training data. 120,000 trajectories of video paired with kinematics.
+4.5 TB.
+
+## Reference(s):
+https://github.com/open-h-embodiment/data-collection
+
+
+## Ethical Considerations:
+NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications.  When downloaded or used in accordance with our terms of service, developers should work with their internal developer teams to ensure this dataset meets requirements for the relevant industry and use case and addresses unforeseen product misuse.   
+Please report quality, risk, security vulnerabilities or NVIDIA AI Concerns here.