EPIC-KITCHENS-100 Dataset
Unscripted kitchen actions from wearable cameras
A widely used egocentric kitchen benchmark with long-term unscripted activity videos and dense action/object annotations.
Kitchen manipulation vocabulary
Still a strong reference point for kitchen-centric manipulation data.
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, and action/state, but feedback/correction signal is weak.
fit 72 · 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
video · RGB frames · Unscripted kitchen actions from wearable cameras · A widely used egocentric kitchen benchmark with long-term unscripted activity videos and dense action/object annotations.
Action / hand pose / robot state
actions · Kitchen manipulation vocabulary · Object interaction and anticipation · Still a strong reference point for kitchen-centric manipulation data.
Gaze / attention
No decision-grade evidence captured yet.
Language intent / task phase
actions · objects · narration · CSV annotations
Feedback / correction / failure
No decision-grade evidence captured yet.
Sim-real pairing
No decision-grade evidence captured yet.
License / format / access
License required · EPIC-KITCHENS License · MP4 · CSV annotations
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, and action/state, but feedback/correction signal is weak.
fit 72 · confidence 55
Failure, correction, intervention, and recovery annotations have not been verified.
fit 50 · confidence 15
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.
Raw dataset signals
OpenBot fit
- Kitchen manipulation vocabulary
- Object interaction and anticipation
- Skill taxonomy bootstrapping
Related models and papers
Model references linked to similar loop signals.
RT-2
Vision-language-action model that transfers web-scale vision-language knowledge into robotic control.
SayCan
Language-grounded robotics approach that combines language-model planning with affordance scores from robot skills.
OA-WAM
Object-addressable world-action model that decomposes scenes into robot and object slots while jointly predicting future world state and actions.
Integration notes
- Still a strong reference point for kitchen-centric manipulation data.
- Useful for mapping human verbs and objects into OpenBot Data labels.