MolmoAct2 Bimanual YAM Dataset
A large-scale bimanual manipulation dataset collected by Ai2 for MolmoAct2 using paired YAM follower arms. It contains 32,246 episodes (76M frames) spanning 34 tabletop tasks with 720+ hours of teleoperated demonstrations. Each episode provides three RGB camera views (left, right, top) plus 14-dim joint/gripper states, in LeRobot format with per-episode annotated language instructions.
- Scale
- 720 hours
- Formats
- lerobot
- License
- Apache-2.0
- Published
- 2026-05-04
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
- Allen Institute for AI (Ai2)
- Evidence
- secondary claim
- Formats
- lerobot
- episodes
- 32246
- hours
- 720
- tasks
- 34
- bytes
- 2350000000000
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 · A large-scale bimanual manipulation dataset collected by Ai2 for MolmoAct2 using paired YAM follower arms. It contains 32,246 episodes (76M frames) spanning 34 tabletop tasks with 720+ hours of teleoperated demonstrations. Each episode provides three RGB camera views (left, right, top) plus 14-dim joint/gripper states, in LeRobot format with per-episode annotated language instructions.
presentA large-scale bimanual manipulation dataset collected by Ai2 for MolmoAct2 using paired YAM follower arms. It contains 32,246 episodes (76M frames) spanning 34 tabletop tasks with 720+ hours of teleoperated demonstrations. Each episode provides three RGB camera views (left, right, top) plus 14-dim joint/gripper states, in LeRobot format with per-episode annotated language instructions.
partiallanguage · A large-scale bimanual manipulation dataset collected by Ai2 for MolmoAct2 using paired YAM follower arms. It contains 32,246 episodes (76M frames) spanning 34 tabletop tasks with 720+ hours of teleoperated demonstrations. Each episode provides three RGB camera views (left, right, top) plus 14-dim joint/gripper states, in LeRobot format with per-episode annotated language instructions.
presentOpen · Apache-2.0 · 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.
Catalog links