Egocentric-100K Evaluation Dataset
Comparing egocentric corpora before ingest
An Apache-2.0 benchmark comparing Egocentric-100K, Ego4D, and EPIC-KITCHENS samples for hand visibility, active manipulation, and active labor.
Comparing egocentric corpora before ingest
Open evaluation layer; the larger source datasets may still be gated.
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
World-model observation, geometry, or temporal semantics are not verified.
not scored · confidence 15
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
images
Action / hand pose / robot state
hand visibility · active manipulation · Auditing industrial manipulation density · An Apache-2.0 benchmark comparing Egocentric-100K, Ego4D, and EPIC-KITCHENS samples for hand visibility, active manipulation, and active labor.
Gaze / attention
No decision-grade evidence captured yet.
Language intent / task phase
No decision-grade evidence captured yet.
Feedback / correction / failure
active manipulation · Open evaluation layer; the larger source datasets may still be gated. · An Apache-2.0 benchmark comparing Egocentric-100K, Ego4D, and EPIC-KITCHENS samples for hand visibility, active manipulation, and active labor. · Hugging Face · builddotai/Egocentric-100K-Evaluation
Sim-real pairing
No decision-grade evidence captured yet.
License / format / access
Open · Apache-2.0 · Parquet · JSON metadata
Catalog decision scorecard
Access and license are declared by the source.
fit 75 · 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
World-model observation, geometry, or temporal semantics are not verified.
not scored · confidence 15
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.
- 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
- Comparing egocentric corpora before ingest
- Training data-efficiency filters
- Auditing industrial manipulation density
Integration notes
- Open evaluation layer; the larger source datasets may still be gated.
- Useful for OpenBot Data as a benchmark fixture.