EgoStation Catalog Dataset
Dataset registry examples
A CC-BY-NC-4.0 catalog dataset for egocentric first-person manipulation data, including GoPro pick-and-place metadata.
Dataset registry examples
Best treated as a registry source rather than raw training data.
Inspect schema and run a bounded sample audit before committing to the full release.
Observation/action alignment has not been established.
not scored · confidence 15
Temporal observations plus geometry or semantic context are declared; sample alignment remains to be audited.
fit 68 · 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 tags
Action / hand pose / robot state
A CC-BY-NC-4.0 catalog dataset for egocentric first-person manipulation data, including GoPro pick-and-place metadata.
Gaze / attention
No decision-grade evidence captured yet.
Language intent / task phase
task phase
Feedback / correction / failure
No decision-grade evidence captured yet.
Sim-real pairing
No decision-grade evidence captured yet.
License / format / access
Open · CC-BY-NC · Parquet · catalog metadata
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/action alignment has not been established.
not scored · confidence 15
Temporal observations plus geometry or semantic context are declared; sample alignment remains to be audited.
fit 68 · 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.
- Feedback / correction / failureunknownNot enough evidence to classify this signal. Verify metadata or a bounded sample.
- Sim-real pairingunknownNot 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
- 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.