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--- |
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license: mit |
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datasets: |
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- VisualSphinx/VisualSphinx-Seeds |
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language: |
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- en |
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base_model: |
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- Qwen/Qwen2.5-VL-7B-Instruct |
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--- |
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# 🦁 VisualSphinx: Large-Scale Synthetic Vision Logic Puzzles for RL |
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VisualSphinx is the largest fully-synthetic open-source dataset providing vision logic puzzles. It consists of over **660K** automatically generated logical visual puzzles. Each logical puzzle is grounded with an interpretable rule and accompanied by both correct answers and plausible distractors. |
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- 🌐 [Project Website](https://visualsphinx.github.io/) - Learn more about VisualSphinx |
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- 📖 [Technical Report](https://arxiv.org/abs/2505.23977) - Discover the methodology and technical details behind VisualSphinx |
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- 🔧 [Github Repo](https://github.com/VisualSphinx/VisualSphinx) - Access the complete pipeline used to produce VisualSphinx-V1 |
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- 🤗 HF Datasets: |
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- [VisualSphinx-V1 (Raw)](https://huggingface.co/datasets/VisualSphinx/VisualSphinx-V1-Raw); |
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- [VisualSphinx-V1 (For RL)](https://huggingface.co/datasets/VisualSphinx/VisualSphinx-V1-RL-20K); |
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- [VisualSphinx-V1 (Benchmark)](https://huggingface.co/datasets/VisualSphinx/VisualSphinx-V1-Benchmark); |
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- [VisualSphinx (Seeds)](https://huggingface.co/datasets/VisualSphinx/VisualSphinx-Seeds); |
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- [VisualSphinx (Rules)](https://huggingface.co/datasets/VisualSphinx/VisualSphinx-V1-Rules). |
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## 📊 About This Model |
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This model is used for tagging the difficulty of our [VisualSphinx-V1](https://huggingface.co/datasets/VisualSphinx/VisualSphinx-V1-Raw) synthetic dataset. To train this model, we perform GRPO on Qwen/Qwen2.5-VL-7B-Instruct using our [seed dataset](https://huggingface.co/datasets/VisualSphinx/VisualSphinx-Seeds) for 256 steps. |
