Community Dataset V2: 340 Robotics Datasets for Vision-Language-Action Learning

340 community-contributed robotics datasets from 117 global contributors form this large-scale collection for embodied AI. It represents the second major release, expanding upon a previous version to support vision-language-action learning. The dataset was created by HuggingFaceVLA and last updated in November 2025.

Use Cases

• Train vision-language-action models based on the described multimodal robotics data.
• Benchmark embodied AI algorithms based on the aggregated community contributions.
• Develop robotic manipulation policies based on the implied sensorimotor data.
• Fine-tune multimodal foundation models based on the described robotics-specific scenarios.

Strengths

• Aggregates 340 distinct datasets, indicating broad scope.
• Sourced from 117 contributors worldwide, suggesting diverse perspectives.
• Explicitly designed for vision-language-action learning, a specific and active research area.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and total data size are unknown, which may limit suitability assessment.
• Data may reflect geographic, temporal, or source bias inherent to community contributions on Hugging Face.

Provenance

Source

HuggingFaceVLA on Hugging Face

Collection Method

Community-contributed; aggregated from 117 contributors.

Freshness

Last updated 2025-11-13 12:16:40

Geography

Worldwide