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name: datasets-demonstrations description: "Guides Researchers through RoboCasa dataset registries, dataset soups, local LeRobot and legacy HDF5 inspection, playback, conversion, and dataset-backed setup." disable-model-invocation: true metadata: disco-role: operating license: NOASSERTION

RoboCasa datasets and demonstrations

Use this sub-skill for RoboCasa 1.0.1 dataset discovery, local readiness checks, demonstration sampling, playback selection, and format conversion planning. Treat registry metadata, downloaded data, simulation assets, and rendering support as separate readiness layers.

Route first

• Read API reference for exact registry signatures, source tokens, path resolution, horizons, task sets, and soups.
• Read data formats before accessing samples, selecting playback flags, or converting legacy HDF5.
• Read workflows for safe registry-to-local-data, inspection, playback, conversion, and dataset-backed environment sequences.
• Read troubleshooting before retrying downloads, changing dataset roots, or diagnosing missing replay files.
• Run inspect_dataset.py for a read-only local tree check. Run plan_dataset_download.py to resolve registry paths and print opt-in commands without networking or writes.

Operating gates

1. Confirm RoboCasa imports with its compatible package set. Version 1.0.1 pins MuJoCo 3.3.1 and NumPy 2.2.5, requires public robosuite>=1.5.2, and was inspected with LeRobot 0.3.3, h5py 3.16.0, and Gymnasium 0.29.1. Inspection registered 374 kitchen environments, but registration is not dataset, asset, reset, or playback proof.
2. Query registry metadata. Do not infer that a returned path exists: the registry resolves an expected location without downloading anything.
3. Check the local path and identify LeRobot versus legacy HDF5 before choosing any flags. A metadata-only tree is not a usable dataset.
4. Approve network, destination, storage, and overwrite behavior before invoking the package downloader. Dataset acquisition is an explicit, potentially multi-GB action.
5. Separate training access from simulator replay. Parquet/video data may be usable while replay still lacks extras/dataset_meta.json, episode model.xml.gz, states.npz, or full kitchen assets.
6. Keep playback/conversion bounded to a small episode count first. Conversion reconstructs environments, renders images, writes large outputs, and can replace an existing sibling lerobot/ directory.

Boundaries

• Route Gym/robosuite construction, reset/step behavior, and renderer setup to the root skill's simulation-environments sub-skill.
• Route task, scene, fixture, object, and kitchen-asset taxonomy to tasks-scenes-assets.
• Route live keyboard/SpaceMouse collection and interactive demonstration capture to teleoperation-and-collection.
• MimicGen-labelled registry entries refer to provided synthetic datasets. The optional MimicGen package was absent during inspection; do not claim synthetic generation readiness from dataset metadata alone.
• Full datasets and kitchen assets were not locally available during construction. Registry and CLI surfaces were verified, but full playback, conversion, dataset tests, and dataset-backed reset remain data-dependent.