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--- |
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language: |
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- en |
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license: apache-2.0 |
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task_categories: |
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- image-text-to-text |
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pretty_name: PixelReasoner-RL-Data |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: "release.parquet" |
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--- |
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**Overview.** |
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The RL data for training [**Pixel Reasoner**: Incentivizing Pixel-Space Reasoning with Curiosity-Driven Reinforcement Learning](https://arxiv.org/abs/2505.15966), |
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The queries require fine-grained visual analysis in both images (e.g., infographics, visually-rich scenes, etc) and videos. |
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**Details.** |
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The data includes 15,402 training queries with verifierable answers. The key fields include: |
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- question, answer, qid |
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- is_video: a flag to distinguish video and image queries |
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- image: a list of image paths. |
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- For video-based queries, the path list corresponds to 16 extracted frames from the original video |
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- For image-based queries, the path list corresponds to multiple images |
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**Note**: Remember to unzip `images.zip` and `videos.zip`, and replace the relative path in `image` field with the absolute path. |
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**Training Code**: The RL code can be found at https://github.com/TIGER-AI-Lab/Pixel-Reasoner/tree/main |
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**Project page**: https://tiger-ai-lab.github.io/Pixel-Reasoner/ |
