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Manipulation datasetOpen

Open X-Embodiment

A large multi-institution collection spanning 22 robot embodiments and hundreds of skills for cross-robot policy learning.

Scale
22 robots
Formats
RLDS · TensorFlow Datasets
License
Dataset-specific; code Apache-2.0
Published
2023-10-13

Decision summary

Best for

Cross-embodiment VLA pretraining

Main blocker

Licenses differ across constituent datasets and must be checked individually.

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

77/100

Provisional

4/6 dimensions scored · 48% confidence

Access and governance75conf. 85
Schema and signal coverageNot scoredconf. 15
Policy training readiness85conf. 55
World-model readiness82conf. 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 82 · 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.

Next checks

  • Read the dataset manifest and feature schema.
  • Run a bounded sample audit before assigning Strong readiness.

Dataset facts

Source
Google DeepMind / Open X-Embodiment collaboration
Evidence
official claim
Formats
RLDS · TensorFlow Datasets · rlds
robots
22
institutions
21
skills
527
Read paper

Loop signals

5/7 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 · depth

present
Action / hand pose / robot state

actions · robot state · ee_pose

present
Language intent / task phase

language · task phase

present
Sim-real pairing

depth

present
License / format / access

Open · Dataset-specific; code Apache-2.0 · RLDS · TensorFlow Datasets

present
Evidence details and provenance

Official signal claims

VideoActionsRobot stateLanguageTask phaseDepthEe_poseProprioceptionVideo

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

  • Licenses differ across constituent datasets and must be checked individually.

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