CLARU
VLA-Arena2025apache-2.0

VLA-Arena Dataset (L1 - Small Variant)

An open-source benchmark for systematic evaluation of Vision-Language-Action (VLA) models featuring 55 tasks across safety, distractor, extrapolation, and long-horizon domains at difficulty level L1. Contains 550 human demonstrations with high-resolution RGB images, robot state vectors, and natural language task instructions.

Downloads217
Episodes550

Why This Matters for Physical AI

VLA-Arena provides a systematic benchmark for evaluating vision-language-action models across critical dimensions of safety, generalization, and long-horizon reasoning essential for deploying embodied AI agents in real-world robotic applications.

Technical Profile

Modalities
rgbproprioceptionlanguage
Action Space
end_effector_delta
Environment
simulation
Task Types
manipulationgraspingpick_and_place
Episodes
550
Data Format
hdf5
Annotation Types
language_instructionsaction_labels
License
apache-2.0
Part of the VLA-Arena family

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