CLARU
VLA-Arena2025apache-2.0

VLA-Arena Dataset (L1 - Medium Variant)

An open-source benchmark for systematic evaluation of Vision-Language-Action (VLA) models, featuring 55 tasks at difficulty level 1 with 1,650 trajectories across safety, distractor, extrapolation, and long horizon domains.

Downloads2K
Episodes1650

Why This Matters for Physical AI

VLA-Arena provides a systematic benchmark for evaluating vision-language-action models across multiple dimensions critical to real-world deployment, including safety, generalization, and long-horizon task execution.

Technical Profile

Modalities
rgbproprioceptionlanguage
Action Space
end_effector_delta
Environment
simulation
Task Types
manipulationgraspingpick_and_place
Episodes
1650
Data Format
LeRobot
Annotation Types
language_instructionsaction_labels
License
apache-2.0
Part of the VLA-Arena family

Community Signals

Top 25% by downloads

Access

View on HuggingFace

Need custom rgb data?

Claru builds purpose-built datasets for simulation applications with dense human annotations and quality assurance.

Request a Sample Pack

Related Datasets

VLA-Arena Dataset (L0 - Large Variant)

An open-source benchmark for systematic evaluation of Vision-Language-Action (VLA) models, featuring 60 tasks at difficulty level 0 with 3,000 human demonstrations across safety, distractor, extrapolation, and long-horizon domains.

rgbproprioceptionlanguage
3K downloads2025apache-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.

rgbproprioceptionlanguage
3K downloads2025apache-2.0

VLA-Arena Dataset (L0 - Medium Variant)

A benchmark dataset for Vision-Language-Action (VLA) models containing 1,800 human demonstrations across 60 tasks at difficulty level 0, formatted for training Openpi models. It provides systematic evaluation across safety, distractor, extrapolation, and long-horizon domains.

rgbproprioceptionlanguage
2K downloads2025apache-2.0

VLA-Arena Dataset (L0 - Small Variant)

VLA-Arena is an open-source benchmark for systematic evaluation of Vision-Language-Action models with 150+ tasks across 11 specialized suites and hierarchical difficulty levels (L0-L2). This L0-Small variant contains 600 human demonstrations across 60 distinct tasks designed for standard training scenarios.

rgbproprioceptionlanguage
596 downloads2025apache-2.0

VLA-Arena Dataset (L1 - Small Variant)

An open-source benchmark for systematic evaluation of Vision-Language-Action (VLA) models, featuring 55 tasks at difficulty level L1 with 550 human demonstrations across safety, distractor, extrapolation, and long horizon domains.

rgbproprioceptionlanguage
556 downloads2025apache-2.0

VLA-Arena Dataset (L0 - Small Variant)

A Level 0 (small) variant of the VLA-Arena benchmark containing 600 human demonstrations across 60 tasks, designed for training Vision-Language-Action models with systematic evaluation across safety, distractor, extrapolation, and long-horizon domains.

rgbproprioceptionlanguage
314 downloads2025apache-2.0