OpenBot
Platform
Egocentric datasetOpen
OBRS 48•Bronze

EgoWorld

A compact egocentric bimanual manipulation dataset with world-frame 3D hand poses, MANO meshes, camera trajectories, depth maps, and 40D action/state vectors.

Scale
514 frames
Formats
LeRobot v3 · RGB
License
CC-BY-NC
Published
2026-03-30
Official sourceAll recordsDataset index A–ZRun local preflightRequest scoped audit

Decision summary

Best for

Schema validation for LeRobot v3

Main blocker

Small, but excellent for testing catalog pages, loaders, and schema conversions.

Next check

Read the dataset manifest and feature schema.

Release history

Source-backed release timing for this canonical dataset record.

Important releases

  1. Dataset series published

    Release timing is recorded from the official source creation date.

    Release evidence

Selection readiness

6 evidence dimensions for deciding whether this dataset is ready to inspect, compare, or adopt. This is not a model benchmark.

Catalog evidence · not task performance

63/100

Provisional

4/6 dimensions scored · 48% confidence

Access and governance35conf. 85
Schema and signal coverageNot scoredconf. 15
Policy training readiness70conf. 55
World-model readiness82conf. 50
Failure and recovery readinessNot scoredconf. 15
Download and processing readiness65conf. 65
Read the evidence behind all 6 dimensions

Access and governance

The declared license restricts commercial use.

limitedfit 35 · confidence 85

Schema and signal coverage

No machine-readable schema has been verified yet.

unknownnot scored · confidence 15

Policy training readiness

Observation and action/state signals are declared; alignment quality still depends on sample verification.

usefulfit 70 · confidence 55

World-model readiness

Temporal observations plus geometry or semantic context are declared; sample alignment remains to be audited.

usefulfit 82 · confidence 50

Failure and recovery readiness

No verified failure/recovery annotation evidence is available yet.

unknownnot scored · confidence 15

Download and processing readiness

Scale is declared; transfer and processing estimates are not measured.

usefulfit 65 · confidence 65
Review unresolved evidence and next checks

Signal gaps

  • Gaze / attention. Not enough evidence is available to classify this signal.
  • Language intent / task phase. Not enough evidence is available to classify this signal.
  • Feedback / correction / failure. Not enough evidence is available to classify this signal.

Next checks

  • Read the dataset manifest and feature schema.
  • Run a bounded sample audit before assigning Strong readiness.

Dataset facts

Source
Hugging Face · haoyang-li/EgoWorld
Evidence
official claim
Formats
LeRobot v3 · RGB · depth
episodes
2
frames
514
fps
10 Hz

Loop signals

4/7 present or partial

Gaze / attention

No decision-grade evidence captured yet.

unknown
Language intent / task phase

No decision-grade evidence captured yet.

unknown
View 5 more signal categories
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.

present
Action / hand pose / robot state

hand pose · camera pose · actions · Bimanual action representation tests

present
Feedback / correction / failure

No decision-grade evidence captured yet.

unknown
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.

present
License / format / access

Open · CC-BY-NC · LeRobot v3 · RGB

present
Evidence details and provenance

Official signal claims

Hand poseMano MeshCamera poseDepthActions

Schema and annotations

No machine-readable schema facts are captured.

Sample verification

Pending. Metadata does not prove sample coverage, alignment, or file integrity.

curated source metadata

Integration notes

  • Small, but excellent for testing catalog pages, loaders, and schema conversions.
  • Treat as a development fixture rather than a training corpus.