jacobphillips99apache-2.0
ARES trajectories
A collection of 5000 rollouts from the Open X-Embodiment dataset ingested into the ARES platform, with structured metadata, embeddings, and annotations stored across SQL, embedding, and MongoDB databases.
Downloads130
Episodes5000
Likes2
Why This Matters for Physical AI
ARES provides a structured platform for organizing and retrieving large-scale robot learning trajectories through semantic embeddings and VLM-generated descriptions, enabling efficient learning from diverse multi-embodiment demonstration data.
Technical Profile
- Task Types
- manipulation
- Episodes
- 5000
- Data Format
- parquet
- Annotation Types
- language_instructionsvLM_descriptions
- License
- apache-2.0
Community Signals
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