Myungkyu
RMBench-preset-luna
RMBench training episodes (9 tasks, 450 episodes) with dense high-level labels produced by GPT-5.6 Luna annotator using only subtask presets without task-specific guidance, including keyframe storage and retrieval annotations.
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Episodes450
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Why This Matters for Physical AI
This dataset provides hierarchical planning annotations with visual and textual memory operations that enable training of high-level planners for multi-step manipulation tasks using minimal task-specific guidance.
Technical Profile
- Modalities
- rgbproprioception
- Action Space
- joint_positions
- Environment
- lab
- Task Types
- manipulationpick_and_placerearrangement
- Episodes
- 450
- Data Format
- LeRobot
- Annotation Types
- language_instructionsaction_labelskeyframe_labelsmemory_annotations
Access
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