Egocentric-10K Evaluation Dataset
Hand visibility and active-manipulation benchmark
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.
Has observation, action/state proxy, and task or language context.
fit 85 · confidence 55
Has rich observation and semantic context, but limited geometry/sim-real alignment.
fit 68 · confidence 55
Contains observation, intent, action/state, and feedback-like supervision.
fit 88 · confidence 55
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
Model and task fit · OpenBot inference
Has observation, action/state proxy, and task or language context.
fit 85 · confidence 55
Has rich observation and semantic context, but limited geometry/sim-real alignment.
fit 68 · confidence 55
Contains observation, intent, action/state, and feedback-like supervision.
fit 88 · confidence 55
Has failure/evaluation-style labels with action or manipulation context.
fit 82 · confidence 55
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.
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.