CLARU
VLA-Arena2025apache-2.0

VLA-Arena Dataset (L0 - Large Variant)

An open-source benchmark for evaluating Vision-Language-Action (VLA) models with 60 tasks at difficulty level 0, containing 3,000 human demonstrations across safety, distractor, extrapolation, and long-horizon domains. The dataset features high-resolution RGB images (256x256), robot state vectors, 7-DoF continuous control signals, and natural language task instructions.

Downloads185
Episodes3000

Why This Matters for Physical AI

VLA-Arena provides a comprehensive benchmark for training and evaluating vision-language-action models with systematic evaluation across safety, generalization, and long-horizon task capabilities essential for real-world robotic deployment.

Technical Profile

Modalities
rgbproprioceptionlanguage
Action Space
end_effector_delta
Environment
simulation
Task Types
manipulationgraspingpick_and_placelong_horizon
Episodes
3000
Data Format
LeRobot
Annotation Types
language_instructionsaction_labels
License
apache-2.0
Part of the VLA-Arena family

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