BytedanceDouyinContent/VGR
VGR-SFT: A Dataset for Visual Grounded Reasoning ArXiv Paper Dataset on Hugging Face Dataset Overview VGR-SFT (Visual Grounded Reasoning—Supervised Fine-Tuning) is a large-scale multimodal reasoning dataset released with the paper “VGR: Visual Grounded Reasoning”. It is an early attempt to explicitly model visual-region attention in multimodal reasoning, combining vision grounding with language-based deduction. It enables models to autonomously attend to… See the full description on the dataset page: https://huggingface.co/datasets/BytedanceDouyinContent/VGR.
| Author / organization | BytedanceDouyinContent |
|---|---|
| License (as declared) | cc0-1.0 |
| Downloads | 139 (as reported by Hugging Face) |
| Likes | 11 |
| Created | 12 June 2025 |
| Last updated at source | 10 March 2026 |
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- 16 Oct 2026 Description: VGR-SFT: A Dataset for Visual Grounded Reasoning ArXiv Paper Dataset on Hugging Face Dataset Overview VGR-SFT (Visual Grounded Reasoning—Supervised Fine-Tuning) is a large-scale multimodal reasoning dataset released with the paper “VGR: Vis → VGR-SFT: A Dataset for Visual Grounded Reasoning ArXiv Paper Dataset on Hugging Face Dataset Overview VGR-SFT (Visual Grounded Reasoning—Supervised Fine-Tuning) is a large-scale multimodal reasoning dataset released with the paper “VGR: Vis
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