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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

Decision summary

Best for

teleoperation

Main blocker

Metadata requires review against the official source before publication.

Next check

Read the dataset manifest and feature schema.

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

73/100

Provisional

4/6 dimensions scored · 48% confidence

Access and governance75conf. 85
Schema and signal coverageNot scoredconf. 15
Policy training readiness85conf. 55
World-model readiness68conf. 50
Failure and recovery readinessNot scoredconf. 15
Download and processing readiness65conf. 65
Read the evidence behind all 6 dimensions

Access and governance

Access and license are declared by the source.

usefulfit 75 · confidence 85

Schema and signal coverage

No machine-readable schema has been verified yet.

unknownnot scored · confidence 15

Policy training readiness

Observation and action/state signals are declared; alignment quality still depends on sample verification.

usefulfit 85 · confidence 55

World-model readiness

Temporal observations plus geometry or semantic context are declared; sample alignment remains to be audited.

usefulfit 68 · confidence 50

Failure and recovery readiness

No verified failure/recovery annotation evidence is available yet.

unknownnot scored · confidence 15

Download and processing readiness

Scale is declared; transfer and processing estimates are not measured.

usefulfit 65 · confidence 65
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.

Dataset facts

Source
Galaxea AI
Evidence
secondary claim
Formats
lerobot
episodes
100000
hours
500
tasks
150
Read paper

Loop signals

4/7 present or partial

Gaze / attention

No decision-grade evidence captured yet.

unknown
Feedback / correction / failure

No decision-grade evidence captured yet.

unknown
View 5 more signal categories
Observation / ego video

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.

present
Action / hand pose / robot state

ee_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.

partial
Language intent / task phase

language · 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.

present
Sim-real pairing

No decision-grade evidence captured yet.

unknown
License / format / access

Open · custom · lerobot

present
Evidence details and provenance

Official signal claims

Ee_poseLanguageProprioceptionVideo

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.

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