ACTIVE: Human Behavior Dataset for Natural Human-Robot Interaction

A large-scale dataset for human behavior understanding in natural human-robot interaction scenarios, supporting action and human attribute recognition tasks. The dataset was created by ACTIVE2750 and was last updated on Hugging Face in October 2025. It is designed for non-commercial scientific purposes.

Use Cases

• Train action recognition models based on the described human-robot interaction scenarios.
• Develop human attribute recognition systems based on the dataset's stated task.
• Benchmark models for natural human-robot interaction based on the described large-scale behavioral data.

Strengths

• Described as a 'large-scale' dataset for human behavior understanding.
• Supports multiple tasks including action recognition and human attribute recognition.
• Last updated on Hugging Face on 2025-10-27.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and dataset size are unknown, which may limit suitability assessment.
• The description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

ACTIVE2750 on Hugging Face

Freshness

Last updated 2025-10-27 13:47:40.