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Egocentric datasetOpenReadiness 74 · confidence 34

EgoStation Catalog Dataset

Catalog metadata for first-person manipulation datasets

<1Krows

A CC-BY-NC-4.0 catalog dataset for egocentric first-person manipulation data, including GoPro pick-and-place metadata.

Best for

Dataset registry examples

Not for / blocker

Best treated as a registry source rather than raw training data.

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
Dataset MetadataTask phaseCamera TagsLerobot References
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

camera tags

present

Action / hand pose / robot state

Catalog metadata for first-person manipulation datasets · A CC-BY-NC-4.0 catalog dataset for egocentric first-person manipulation data, including GoPro pick-and-place metadata.

partial

Gaze / attention

No decision-grade evidence captured yet.

unknown

Language intent / task phase

task phase

present

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-NC · Parquet · catalog 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

Dataset MetadataTask phaseCamera TagsLerobot References

OpenBot fit

  • Dataset registry examples
  • Catalog-to-loader linking
  • OpenBot Data source discovery demos

Integration notes

  • Best treated as a registry source rather than raw training data.
  • Open access but non-commercial license terms apply.

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