ArtemLykov2024cc-by-4.0
LLM-MARS Dataset
A dataset for training large language models to generate robot behavior trees from user commands for multi-agent dog robot systems. The dataset is organized by different game strategies and supports NLP-enhanced dialogue in robotic systems.
Downloads106
Likes1
Why This Matters for Physical AI
This dataset enables training of language models to generate executable behavior trees for multi-agent robotic systems, bridging natural language understanding with robot control policies.
Technical Profile
- Modalities
- language
- Robot Embodiments
- dog robot
- Action Space
- behavior_tree_generation
- Task Types
- behavior_tree_generation
- Annotation Types
- language_instructions
- License
- cc-by-4.0
Community Signals
Academic Citations3
- Agentic LLM-based robotic systems for real-world applications: a review on their agenticness and ethics2025 · Frontiers in Robotics and AI
- Robotic disassembly for end-of-life products focusing on task and motion planning: A comprehensive survey2024 · Journal of Manufacturing Systems
HuggingFace Discussions1
Access
Need custom language data?
Claru builds purpose-built datasets for any environment applications with dense human annotations and quality assurance.
Request a Sample Pack