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Description
BAAI developed ShareRobot, a collection of 51,403 robotic episodes with 30 frames each, to enhance multi-dimensional robotic capabilities. The data includes labels for task planning, object affordance, and end-effector trajectories using 50 distinct prompt templates.
Use Cases
Robotic task planning using the 10 question types derived from RoboVQA
Object affordance detection within the 30-frame image sequences
End-effector trajectory prediction for robotic manipulation tasks
Strengths
51,403 labeled episodes
30 frames per episode providing temporal context
Multi-dimensional labeling covering planning, affordance, and trajectories
50 distinct prompt templates (5 per question type)
Limitations
Lack of explicit column documentation in the repository metadata
Potential geographic bias toward US-based environments as indicated by metadata tags
Provenance
Source
BAAI (Beijing Academy of Artificial Intelligence)
Collection Method
Data generation using 5 templates for each of the 10 RoboVQA question types.
Freshness
Last updated August 2025.
Geography
United States
Users should consult Arxiv 2310.08864 and 2502.21257 for technical specifications; license and file formats are not specified in the metadata.