Kriya Egocentric 100K Preview Dataset
Action-label schema tests
A small MIT-licensed preview dataset with egocentric video/action annotation metadata for video-text-to-text and action-recognition experiments.
Action-label schema tests
Preview-scale dataset, not the full corpus.
Inspect schema and run a bounded sample audit before committing to the full release.
Observation and action/state signals are declared; alignment quality still depends on sample verification.
fit 70 · confidence 55
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
video · Video-text retrieval fixtures · A small MIT-licensed preview dataset with egocentric video/action annotation metadata for video-text-to-text and action-recognition experiments.
Action / hand pose / robot state
actions · Action-label schema tests · A small MIT-licensed preview dataset with egocentric video/action annotation metadata for video-text-to-text and action-recognition experiments.
Gaze / attention
No decision-grade evidence captured yet.
Language intent / task phase
actions · language · annotations · Action-label schema tests
Feedback / correction / failure
No decision-grade evidence captured yet.
Sim-real pairing
No decision-grade evidence captured yet.
License / format / access
Open · MIT · video · annotations
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 and action/state signals are declared; alignment quality still depends on sample verification.
fit 70 · confidence 55
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.
- 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
- Action-label schema tests
- Video-text retrieval fixtures
- Open preview dataset examples
Integration notes
- Preview-scale dataset, not the full corpus.
- MIT license makes it suitable for open catalog examples.