CLARU
VLA-Arena2025apache-2.0

VLA-Arena Dataset (L1 - Large Variant)

An open-source benchmark for systematic evaluation of Vision-Language-Action (VLA) models with 55 tasks at difficulty level 1, containing 2,750 human demonstrations across safety, distractor, extrapolation, and long-horizon domains.

Downloads3K
Episodes2750

Why This Matters for Physical AI

VLA-Arena provides a comprehensive benchmark for evaluating vision-language-action models across systematically scaled difficulty levels, addressing critical safety, generalization, and long-horizon reasoning challenges essential for deploying robotic agents in real-world environments.

Technical Profile

Modalities
rgbproprioceptionlanguage
Action Space
end_effector_delta
Environment
simulation
Task Types
manipulationgraspingpick_and_place
Episodes
2750
Data Format
LeRobot
Annotation Types
language_instructionsaction_labels
License
apache-2.0
Part of the VLA-Arena family

Community Signals

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