Galaxea Open-World Dataset
The Galaxea Open-World Dataset is a large-scale real-world mobile manipulation collection gathered with a single embodiment, the Galaxea R1 Lite dual-arm mobile manipulator, across home, kitchen, retail, and office…
Source notes
The Galaxea Open-World Dataset is a large-scale real-world mobile manipulation collection gathered with a single embodiment, the Galaxea R1 Lite dual-arm mobile manipulator, across home, kitchen, retail, and office environments. It contains roughly 100K demonstration trajectories totaling 500+ hours, paired with fine-grained subtask-level language annotations. Data is released in LeRobot v2.1 format with four RGB camera streams plus proprioceptive state, and underpins the G0 dual-system VLA model.
- Scale
- 500 hours
- Formats
- lerobot
- License
- custom
- Published
- 2025-08-30
- Embodiments
- multi
- Modalities
- ee_pose, language, proprioception +1
Decision summary
teleoperation
Metadata requires review against the official source before publication.
Read the dataset manifest and feature schema.
Release history
Source-backed release timing for this canonical dataset record.
- Release evidence
Dataset series published
Release timing is recorded from official dataset metadata.
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
How scores work73/100
Provisional
4/6 dimensions scored · 48% confidence
Read the evidence behind all 6 dimensions
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.
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.
Engineering checks (OBRS) behind this record
Needs Audit
OBRS metadata and reported test evidence. A breakdown behind Selection readiness, not a separate score or an independent OpenBot certification.
- A passing real-hardware test report is required.
- A passing ingestion/pipeline test report is required.
- A passing privacy and provenance review is required.
Dataset facts
- Source
- Galaxea AI
- Evidence
- secondary claim
- Formats
- lerobot
- episodes
- 100K
- hours
- 500
- tasks
- 150
Loop signals
4/7 present or partial
No decision-grade evidence captured yet.
unknownNo decision-grade evidence captured yet.
unknownView 5 more signal categories
video · The Galaxea Open-World Dataset is a large-scale real-world mobile manipulation collection gathered with a single embodiment, the Galaxea R1 Lite dual-arm mobile manipulator, across home, kitchen, retail, and office environments. It contains roughly 100K demonstration trajectories totaling 500+ hours, paired with fine-grained subtask-level language annotations. Data is released in LeRobot v2.1 format with four RGB camera streams plus proprioceptive state, and underpins the G0 dual-system VLA model.
presentee_pose · The Galaxea Open-World Dataset is a large-scale real-world mobile manipulation collection gathered with a single embodiment, the Galaxea R1 Lite dual-arm mobile manipulator, across home, kitchen, retail, and office environments. It contains roughly 100K demonstration trajectories totaling 500+ hours, paired with fine-grained subtask-level language annotations. Data is released in LeRobot v2.1 format with four RGB camera streams plus proprioceptive state, and underpins the G0 dual-system VLA model.
partiallanguage · The Galaxea Open-World Dataset is a large-scale real-world mobile manipulation collection gathered with a single embodiment, the Galaxea R1 Lite dual-arm mobile manipulator, across home, kitchen, retail, and office environments. It contains roughly 100K demonstration trajectories totaling 500+ hours, paired with fine-grained subtask-level language annotations. Data is released in LeRobot v2.1 format with four RGB camera streams plus proprioceptive state, and underpins the G0 dual-system VLA model.
presentNo decision-grade evidence captured yet.
unknownOpen · custom · lerobot
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.