keplerccc2025apache-2.0
Robo2VLM-Reasoning
A visual question-answering dataset derived from large-scale in-the-wild robot manipulation data, with reasoning traces generated by Gemini 2.5 Pro supporting correct answers.
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Why This Matters for Physical AI
This dataset bridges vision-language understanding with robot manipulation by enabling models to reason about robotic actions and scenes, supporting the development of embodied AI systems that can understand and explain robot behavior.
Technical Profile
- Modalities
- rgblanguage
- Task Types
- visual-question-answering
- Annotation Types
- language_instructionsreasoning
- License
- apache-2.0
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