Egocentric-10K Evaluation Dataset
Benchmarking egocentric data quality
An Apache-2.0 evaluation dataset for measuring hand presence and active object manipulation in first-person industrial frames.
Benchmarking egocentric data quality
Good open-access companion to the gated Egocentric-10K source dataset.
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 · Useful for OpenBot Data scoring before pulling large video corpora.
Action / hand pose / robot state
hand labels · active manipulation labels · Filtering source corpora for active manipulation · Evaluating hand-presence detectors
Gaze / attention
No decision-grade evidence captured yet.
Language intent / task phase
hand labels · active manipulation labels
Feedback / correction / failure
active manipulation labels · Filtering source corpora for active manipulation · An Apache-2.0 evaluation dataset for measuring hand presence and active object manipulation in first-person industrial frames. · Hugging Face · builddotai/Egocentric-10K-Evaluation
Sim-real pairing
No decision-grade evidence captured yet.
License / format / access
Open · CC-BY-4.0 · Parquet · optimized Parquet
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
A bounded sample/subset is declared for initial validation.
fit 82 · confidence 65
Good tasks
Blockers and unresolved evidence
- Gaze / attentionunknownNot 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
- Benchmarking egocentric data quality
- Filtering source corpora for active manipulation
- Evaluating hand-presence detectors
Integration notes
- Good open-access companion to the gated Egocentric-10K source dataset.
- Useful for OpenBot Data scoring before pulling large video corpora.