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Egocentric datasetOpenReadiness 74 · confidence 34

OBayData Dexterous Manipulation Demo Dataset

Egocentric dexterous manipulation sample set

1K-10Krows

A non-gated CC-BY-NC-4.0 demo dataset with first-person dexterous manipulation, hand-pose, object-detection, and robotics tags.

Best for

Dexterous-hand data demos

Not for / blocker

Open access on Hugging Face, but non-commercial license terms apply.

Download decision

Inspect schema and run a bounded sample audit before committing to the full release.

Policy learningUseful

Has observation, action/state proxy, and task or language context.

fit 85 · confidence 55

World modelUseful

Has rich observation and semantic context, but limited geometry/sim-real alignment.

fit 68 · confidence 55

WAMUseful

Contains observation, intent, and action/state, but feedback/correction signal is weak.

fit 72 · confidence 55

Verified facts and provenance

Claims, metadata verification, and sample verification are shown separately.

curated official source
Official claim · signals
VideoHand poseObjectsDemonstrations
Metadata verified · schema / annotations

Unknown — no machine-readable schema facts have been captured.

Sample / pipeline verification

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.

4/7 categories present or partial

Observation / ego video

video

present

Action / hand pose / robot state

hand pose · Dexterous-hand data demos · Hand-pose schema tests · Non-commercial manipulation benchmarks

present

Gaze / attention

No decision-grade evidence captured yet.

unknown

Language intent / task phase

objects · annotations · Good fit for demoing OpenBot Data ingestion and task tagging.

partial

Feedback / correction / failure

No decision-grade evidence captured yet.

unknown

Sim-real pairing

No decision-grade evidence captured yet.

unknown

License / format / access

Open · CC-BY-4.0 · video · metadata

present

Model and task fit · OpenBot inference

Policy learningUseful

Has observation, action/state proxy, and task or language context.

fit 85 · confidence 55

World modelUseful

Has rich observation and semantic context, but limited geometry/sim-real alignment.

fit 68 · confidence 55

WAMUseful

Contains observation, intent, and action/state, but feedback/correction signal is weak.

fit 72 · confidence 55

Failure miningUnknown

Failure, correction, intervention, and recovery annotations have not been verified.

fit 50 · confidence 15

Good tasks

pick-place / manipulation

Blockers and unresolved evidence

  • Gaze / attentionunknown
    Not enough evidence to classify this signal. Verify metadata or a bounded sample.
  • Feedback / correction / failureunknown
    Not enough evidence to classify this signal. Verify metadata or a bounded sample.
  • Sim-real pairingunknown
    Not enough evidence to classify this signal. Verify metadata or a bounded sample.

Raw dataset signals

VideoHand poseObjectsDemonstrations

OpenBot fit

  • Dexterous-hand data demos
  • Hand-pose schema tests
  • Non-commercial manipulation benchmarks

Related models and papers

Model references linked to similar loop signals.

Integration notes

  • Open access on Hugging Face, but non-commercial license terms apply.
  • Good fit for demoing OpenBot Data ingestion and task tagging.

Related by signals