EgoWorld Dataset
Schema validation for LeRobot v3
A compact egocentric bimanual manipulation dataset with world-frame 3D hand poses, MANO meshes, camera trajectories, depth maps, and 40D action/state vectors.
Schema validation for LeRobot v3
Small, but excellent for testing catalog pages, loaders, and schema conversions.
Inspect schema and run a bounded sample audit before committing to the full release.
Observation and action/state signals are declared; alignment quality still depends on sample verification.
fit 70 · confidence 55
Temporal observations plus geometry or semantic context are declared; sample alignment remains to be audited.
fit 82 · confidence 50
No verified failure/recovery annotation evidence is available yet.
not scored · confidence 15
Verified facts and provenance
Claims, metadata verification, and sample verification are shown separately.
Unknown — no machine-readable schema facts have been captured.
Unknown — metadata conclusions do not prove sample coverage, alignment, or file integrity.
Declared loop signal coverage
Signals inferred from official metadata; Data pipeline verification is still pending.
Observation / ego video
camera pose · depth · RGB · A compact egocentric bimanual manipulation dataset with world-frame 3D hand poses, MANO meshes, camera trajectories, depth maps, and 40D action/state vectors.
Action / hand pose / robot state
hand pose · camera pose · actions · Bimanual action representation tests
Gaze / attention
No decision-grade evidence captured yet.
Language intent / task phase
No decision-grade evidence captured yet.
Feedback / correction / failure
No decision-grade evidence captured yet.
Sim-real pairing
camera pose · depth · A compact egocentric bimanual manipulation dataset with world-frame 3D hand poses, MANO meshes, camera trajectories, depth maps, and 40D action/state vectors.
License / format / access
Open · CC-BY-NC · LeRobot v3 · RGB
Catalog decision scorecard
The declared license restricts commercial use.
fit 35 · confidence 85
No machine-readable schema has been verified yet.
not scored · confidence 15
Observation and action/state signals are declared; alignment quality still depends on sample verification.
fit 70 · confidence 55
Temporal observations plus geometry or semantic context are declared; sample alignment remains to be audited.
fit 82 · confidence 50
No verified failure/recovery annotation evidence is available yet.
not scored · confidence 15
Scale is declared; transfer and processing estimates are not measured.
fit 65 · confidence 65
Good tasks
Blockers and unresolved evidence
- Gaze / attentionunknownNot enough evidence to classify this signal. Verify metadata or a bounded sample.
- Language intent / task phaseunknownNot enough evidence to classify this signal. Verify metadata or a bounded sample.
- Feedback / correction / failureunknownNot enough evidence to classify this signal. Verify metadata or a bounded sample.
- Read the dataset manifest and feature schema.
- Run a bounded sample audit before assigning Strong readiness.
Raw dataset signals
OpenBot fit
- Schema validation for LeRobot v3
- Bimanual action representation tests
- Small smoke-test dataset for OpenBot Data
Related models and papers
Model references linked to similar loop signals.
DreamZero / World Action Models
World-action model framing where future visual states and actions are predicted in an aligned policy model.
Gemini Robotics
Embodied reasoning and action model family that brings Gemini capabilities into robotics through vision, language, and physical action.
GR00T N1
Open foundation model for generalist humanoid robots, focused on whole-body and manipulation behavior from multimodal robot data.
pi0 / OpenPI
Generalist robot policy family and open-source robotics model package from Physical Intelligence.
RDT-1B
Diffusion foundation model for bimanual manipulation that uses large-scale robot data to generate action trajectories.
openvla
OpenVLA: An open-source vision-language-action model for robotic manipulation.
Integration notes
- Small, but excellent for testing catalog pages, loaders, and schema conversions.
- Treat as a development fixture rather than a training corpus.