GR00T-X-Embodiment-Sim

A 42-episode subset of NVIDIA’s GR00T-X-Embodiment-Sim corpus, six episodes from each of seven robot embodiments, as native .mcap episodes.

Each episode carries the camera streams as H.264 video, per-part robot state and action telemetry with timeline plot channels, and the task instruction.

Details

• Dataset name: gr00t-x-embodiment-sim

• Dataset source: https://huggingface.co/datasets/Voxel51/GR00T-X-Embodiment-Sim

• Dataset size: 0.90 GB

• Dataset license: CC-BY-4.0

• Tags: multimodal, mcap, robotics, simulation

• Supported splits: N/A

• ZooDataset class: GR00TXEmbodimentSimDataset

Example usage

PythonCLI

import fiftyone as fo
import fiftyone.zoo as foz

dataset = foz.load_zoo_dataset("gr00t-x-embodiment-sim")

session = fo.launch_app(dataset)