18122025 Foldclo 01

720 hours of bimanual robot manipulation demonstrations collected for the MolmoAct2 project. This subset of the MolmoAct2-BimanualYAM dataset includes annotated language instructions. The dataset was created by AllenAI using LeRobot and was last updated in May 2026.

Use Cases

• Training imitation learning models based on bimanual robot demonstration trajectories.
• Developing language-conditioned robot policies based on the annotated language instructions.
• Benchmarking robot manipulation performance on diverse tabletop tasks.
• Studying coordination strategies for dual-arm robot systems.

Strengths

• Contains more than 720 hours of robot demonstration data.
• Includes annotated language instructions for tasks.
• Covers diverse tabletop manipulation tasks.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file formats are unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

AllenAI

Collection Method

Created using LeRobot; a collection of robot demonstrations.

Freshness

Last updated 2026-05-05 14:45:45; freshness should be verified.