EgoMM Dataset
Video + audio + IMU egocentric clips
A tri-modal egocentric dataset built from EgoLife and Ego-Exo4D sources, packaged into fixed-duration clips with optional narrations.
Wearable-assistant evaluation
A practical bridge between video-only egocentric data and robot-ready sensor streams.
Inspect schema and run a bounded sample audit before committing to the full release.
Observation/action alignment has not been verified.
fit 50 · confidence 15
Has visual observations plus geometry, calibration, depth, or reconstruction cues.
fit 82 · confidence 55
WAM-required observation, intent, and action alignment is not fully verified.
fit 50 · 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 · A practical bridge between video-only egocentric data and robot-ready sensor streams. · Video + audio + IMU egocentric clips
Action / hand pose / robot state
No decision-grade evidence captured yet.
Gaze / attention
No decision-grade evidence captured yet.
Language intent / task phase
narration · A tri-modal egocentric dataset built from EgoLife and Ego-Exo4D sources, packaged into fixed-duration clips with optional narrations.
Feedback / correction / failure
Wearable-assistant evaluation
Sim-real pairing
Long-sequence reconstruction from clips
License / format / access
License required · Apache-2.0 · MP4 · MP3
Model and task fit · OpenBot inference
Observation/action alignment has not been verified.
fit 50 · confidence 15
Has visual observations plus geometry, calibration, depth, or reconstruction cues.
fit 82 · confidence 55
WAM-required observation, intent, and action alignment is not fully verified.
fit 50 · confidence 15
Has failure/evaluation-style labels, but limited action trace detail.
fit 68 · confidence 55
Good tasks
Blockers and unresolved evidence
- Action / hand pose / robot stateunknownNot enough evidence to classify this signal. Verify metadata or a bounded sample.
- Gaze / attentionunknownNot enough evidence to classify this signal. Verify metadata or a bounded sample.
Raw dataset signals
OpenBot fit
- Wearable-assistant evaluation
- IMU-aware activity recognition
- Long-sequence reconstruction from clips
Integration notes
- A practical bridge between video-only egocentric data and robot-ready sensor streams.
- Good for testing OpenBot Data's multimodal schema adapters.