irl-kit2026
SPARC VQA Raw
Unfiltered corpus of 838,211 vision-language examples with embedded images, questions, answers, and spatial reasoning annotations from robot demonstrations. Includes a filtered subset of 284,909 examples used for training Qwen3.5 models.
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Episodes838211
Why This Matters for Physical AI
SPARC VQA provides large-scale spatial reasoning and visual understanding annotations grounded in robot demonstrations, enabling vision-language models to learn embodied spatial concepts essential for robotic manipulation and navigation tasks.
Technical Profile
- Modalities
- rgblanguage
- Task Types
- spatial_reasoningvisual_question_answering
- Episodes
- 838211
- Data Format
- Parquet
- Annotation Types
- language_instructionslanguage_answersspatial_annotationsquality_scores
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