phi-monsterapache-2.0
Deconfounded relation set (RoboCasa)
624 episodes from RoboCasa with randomized anchor and target slots to study spatial relations, where relation properties are deconfounded from position. Part of the Galahad release.
Downloads3
Episodes624
Why This Matters for Physical AI
This dataset enables evaluation of spatial reasoning and relational grounding in robotic manipulation by providing deconfounded data where spatial relations are predictable from context rather than memorized positions.
Technical Profile
- Environment
- simulation
- Task Types
- manipulationspatial_reasoning
- Episodes
- 624
- Data Format
- LeRobot
- Annotation Types
- language_instructions
- License
- apache-2.0
Access
Need custom physical AI data?
Claru builds purpose-built datasets for simulation applications with dense human annotations and quality assurance.
Request a Sample Pack