RoboMIND
A unified multi-embodiment manipulation dataset with successful demonstrations, real-world failures, and failure causes.
- Scale
- 107K trajectories
- Formats
- HDF5 · Video
- License
- Not declared
- Published
- 2024-12-18
Decision summary
Failure mining
One of the strongest current matches for OpenBot loop-signal analysis.
Verify repository and artifact licenses.
Selection readiness
6 evidence dimensions for deciding whether this dataset is ready to inspect, compare, or adopt. This is not a model benchmark.
Catalog evidence · not task performance
75/100
Provisional
4/6 dimensions scored · 43% confidence
Read the evidence behind all 6 dimensions
Access and governance
License or access terms are not verified.
Schema and signal coverage
No machine-readable schema has been verified yet.
Policy training readiness
Observation and action/state signals are declared; alignment quality still depends on sample verification.
World-model readiness
Temporal observations plus geometry or semantic context are declared; sample alignment remains to be audited.
Failure and recovery readiness
Failure, success, intervention, or recovery fields are declared; coverage requires sample audit.
Download and processing readiness
Scale is declared; transfer and processing estimates are not measured.
Review unresolved evidence and next checks
Signal gaps
- Gaze / attention. Not enough evidence is available to classify this signal.
- Sim-real pairing. Not enough evidence is available to classify this signal.
Next checks
- Verify repository and artifact licenses.
- Read the dataset manifest and feature schema.
- Run a bounded sample audit before assigning Strong readiness.
Dataset facts
- Source
- RoboMIND collaboration
- Evidence
- official claim
- Formats
- HDF5 · Video · Metadata
- trajectories
- 107K
- tasks
- 479
- failure demos
- 5K
Loop signals
5/7 present or partial
No decision-grade evidence captured yet.
unknownNo decision-grade evidence captured yet.
unknownView 5 more signal categories
video · Video
presentactions · robot state · A unified multi-embodiment manipulation dataset with successful demonstrations, real-world failures, and failure causes.
presentlanguage · task phase
presentfailure · Failure mining · Correction-aware policy learning · A unified multi-embodiment manipulation dataset with successful demonstrations, real-world failures, and failure causes.
presentOpen · HDF5 · Video
presentEvidence details and provenance
Official signal claims
Schema and annotations
No machine-readable schema facts are captured.
Sample verification
Pending. Metadata does not prove sample coverage, alignment, or file integrity.
curated source metadata
Integration notes
- One of the strongest current matches for OpenBot loop-signal analysis.