| --- |
| license: mit |
| datasets: |
| - VisualSphinx/VisualSphinx-Seeds |
| language: |
| - en |
| base_model: |
| - Qwen/Qwen2.5-VL-7B-Instruct |
| --- |
| # 🦁 VisualSphinx: Large-Scale Synthetic Vision Logic Puzzles for RL |
| 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. |
| - 🌐 [Project Website](https://visualsphinx.github.io/) - Learn more about VisualSphinx |
| - 📖 [Technical Report](https://arxiv.org/abs/2505.23977) - Discover the methodology and technical details behind VisualSphinx |
| - 🔧 [Github Repo](https://github.com/VisualSphinx/VisualSphinx) - Access the complete pipeline used to produce VisualSphinx-V1 |
| - 🤗 HF Datasets: |
| - [VisualSphinx-V1 (Raw)](https://huggingface.co/datasets/VisualSphinx/VisualSphinx-V1-Raw); |
| - [VisualSphinx-V1 (For RL)](https://huggingface.co/datasets/VisualSphinx/VisualSphinx-V1-RL-20K); |
| - [VisualSphinx-V1 (Benchmark)](https://huggingface.co/datasets/VisualSphinx/VisualSphinx-V1-Benchmark); |
| - [VisualSphinx (Seeds)](https://huggingface.co/datasets/VisualSphinx/VisualSphinx-Seeds); |
| - [VisualSphinx (Rules)](https://huggingface.co/datasets/VisualSphinx/VisualSphinx-V1-Rules). |
|  |
|
|
| ## 📊 About This Model |
|
|
| 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. |
