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
Part of the RoboCasa family

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

Related Datasets