Datasets › R1-Onevision
R1-Onevision
The R1-Onevision dataset is a meticulously crafted resource designed to empower models with advanced multimodal reasoning capabilities. Aimed at bridging the gap between visual and textual understanding, this dataset provides rich, context-aware reasoning tasks across diverse domains, including natural scenes, science, mathematical problems, OCR-based content, and complex charts.
It combines high-quality data from LLaVA-OneVision with domain-specific datasets, each carefully selected and filtered to provide a solid foundation for complex visual reasoning tasks. With a focus on enabling deep reasoning and accurate model predictions, R1-Onevision equips models to handle a variety of visual and textual inputs, tackling intricate reasoning challenges with precision.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
apache-2.0
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- R1-Onevision
1 variant name, as the archive lists them.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections