example-retargeted-motion-and-simulated-robot-execution-derived-from-taco

# Example Retargeted Motion and Simulated Robot Execution Derived from TACO ## Dataset Description This dataset contains samples of human demonstrations on manipulation tasks retargeted to bimanual Sharpa robot hands and episodes of robot executions that mimic the original human demonstrations. The former allows a Video to Data user to easily experiment with the Video to Data grounding pipeline, and the latter is an example of the grounded robot data that can be generated with the Video to Data pipeline. The base human demonstrations come from TACO, a large-scale bimanual hand-object interaction dataset. This data is approved for both commercial and non-commercial use. This dataset is ready for commercial or non-commercial uses. ## Dataset Owner(s) NVIDIA Corporation ## Dataset Creation Date 2026-08-01 ## Versioning 0.1 Previous Version(s): NA ## License/Terms of Use CC-BY-4.0 ## Intended Usage This data is intended to demonstrate example outputs from the Video to Data pipeline. This data also allows users to easily experiment with the grounding portion of the pipeline or downstream training. ## Dataset Characterization **Data Collection Method** Synthetic **Labeling Method** Synthetic ## Dataset Format Modality: Video, Motion Trajectories, Robot Actions Format: Parquet and LeRobotv3 ## Dataset Quantification Record Count: 1,215 Motion Sequences, 121,500 Robot Episodes, 1,215 Motion Parquets Feature Count: Retargeted Motion Data: 2, Robot Data: 8 Total Data Storage: 924.8 GB ## Reference(s) - https://github.com/nvidia-isaac/video_to_data/tree/main ## 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. 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](https://www.nvidia.com/en-us/support/submit-security-vulnerability/). **Generated by AI Transparency Card Generator.**