Tennet7/ZwZ-RL-VQA
ZwZ-RL-VQA: Region-to-Image Distilled Training Data for Fine-Grained Perception This dataset contains 74K high-quality VQA pairs generated via Region-to-Image Distillation (R2I) for training multimodal large language models (MLLMs) on fine-grained perception tasks without test-time tool use. 📖 Overview The Zooming without Zooming (ZwZ) method transforms "zooming" from an inference-time tool into a training-time primitive: Zoom-in Synthesis: Strong teacher models… See the full description on the dataset page: https://huggingface.co/datasets/Tennet7/ZwZ-RL-VQA.
| Author / organization | Tennet7 |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 181 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 28 April 2026 |
| Last updated at source | 28 April 2026 |
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