# 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](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`](../../api/fiftyone.zoo.datasets.base.md#fiftyone.zoo.datasets.base.GR00TXEmbodimentSimDataset) **Example usage** Python CLI ```python import fiftyone as fo import fiftyone.zoo as foz dataset = foz.load_zoo_dataset("gr00t-x-embodiment-sim") session = fo.launch_app(dataset) ``` ```shell fiftyone zoo datasets load gr00t-x-embodiment-sim fiftyone app launch gr00t-x-embodiment-sim ```