RT-1 Robot Action Dataset
The RT-1 robot action dataset (fractal20220817_data in Open X-Embodiment) contains 87,212 human-teleoperated demonstration episodes of tabletop manipulation with 17 objects, collected on Google's Everyday Robots mobile manipulators. Each step pairs an RGB image and natural-language instruction with a discretized arm+base action, plus success/feasible/undesirable labels, stored in RLDS/TFDS format.
- Scale
- 350.6 hours
- Formats
- rlds
- License
- CC-BY-4.0
- Published
- 2022-12-13
Decision summary
teleoperation
Metadata requires review against the official source before publication.
Read the dataset manifest and feature schema.
Catalog assessment
Selection evidence
73/100
Provisional · confidence 48 · 4/6 evaluated
Access and governance
Access and license are declared by the source.
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.
View 3 more dimensions
World-model readiness
Temporal observations plus geometry or semantic context are declared; sample alignment remains to be audited.
Failure and recovery readiness
No verified failure/recovery annotation evidence is available yet.
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.
- Feedback / correction / failure. Not enough evidence is available to classify this signal.
- Sim-real pairing. Not enough evidence is available to classify this signal.
Next checks
- Read the dataset manifest and feature schema.
- Run a bounded sample audit before assigning Strong readiness.
Record specifics
Dataset facts
- Source
- Google (Robotics at Google / Everyday Robots)
- Evidence
- secondary claim
- Formats
- rlds
- episodes
- 87212
- hours
- 350.6
- tasks
- 599
- bytes
- 119593364357
Metadata coverage
Loop signals
4/7 present or partial
No decision-grade evidence captured yet.
unknownNo decision-grade evidence captured yet.
unknownNo decision-grade evidence captured yet.
unknownView 4 more signal categories
video · The RT-1 robot action dataset (fractal20220817_data in Open X-Embodiment) contains 87,212 human-teleoperated demonstration episodes of tabletop manipulation with 17 objects, collected on Google's Everyday Robots mobile manipulators. Each step pairs an RGB image and natural-language instruction with a discretized arm+base action, plus success/feasible/undesirable labels, stored in RLDS/TFDS format.
presentee_pose · The RT-1 robot action dataset (fractal20220817_data in Open X-Embodiment) contains 87,212 human-teleoperated demonstration episodes of tabletop manipulation with 17 objects, collected on Google's Everyday Robots mobile manipulators. Each step pairs an RGB image and natural-language instruction with a discretized arm+base action, plus success/feasible/undesirable labels, stored in RLDS/TFDS format.
partiallanguage · has-success-labels · The RT-1 robot action dataset (fractal20220817_data in Open X-Embodiment) contains 87,212 human-teleoperated demonstration episodes of tabletop manipulation with 17 objects, collected on Google's Everyday Robots mobile manipulators. Each step pairs an RGB image and natural-language instruction with a discretized arm+base action, plus success/feasible/undesirable labels, stored in RLDS/TFDS format.
presentOpen · CC-BY-4.0 · rlds
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 official source
Integration notes
- Metadata requires review against the official source before publication.
Catalog links