CLARU
CausalVerse2025apache-2.0

CausalVerse Image Dataset

A comprehensive benchmark for causal representation learning containing ~200k high-resolution images and ~140k videos across 24 scenes in 4 domains (static image generation, dynamic physical simulation, robotic manipulation, and traffic scene analysis) with configurable ground-truth causal mechanisms.

Downloads731
Episodes200000
Likes2

Why This Matters for Physical AI

CausalVerse provides high-fidelity, controllable simulations with explicit ground-truth causal variables and mechanisms, enabling principled evaluation of causal representation learning methods for robotic systems.

Technical Profile

Modalities
rgb
Robot Embodiments
robotic_manipulator
Environment
simulation
Task Types
manipulationcausal_representation_learning
Episodes
200000
Data Format
parquet
Annotation Types
causal_variablesmetadata
License
apache-2.0
Part of the CausalVerse family

Community Signals

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