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  data_files:
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  - split: val
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  path: "val.parquet"
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  data_files:
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  path: "val.parquet"
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+ ---
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+ # OpenMMReasoner: Pushing the Frontiers for Multimodal Reasoning with an Open and General Recipe
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+ <div align="center">
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+ [![Data](https://img.shields.io/badge/Data-0040A1?style=for-the-badge&logo=huggingface&logoColor=ffffff&labelColor)](https://huggingface.co/collections/lmms-lab/openmmreasoner)
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+ [![Paper](https://img.shields.io/badge/Paper-000000?style=for-the-badge&logo=arxiv&logoColor=white)](https://arxiv.org)
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+ [![Project Page](https://img.shields.io/badge/Website-000000?style=for-the-badge&logo=google-chrome&logoColor=white)]()
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+ </div>
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+ Here are the RL Data used to train **[OpenMMReasoner-RL](https://huggingface.co/OpenMMReasoner/OpenMMReasoner-RL)**. We use **[lmms-engine](https://github.com/EvolvingLMMs-Lab/lmms-engine)** as the training framework.
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+ To use this dataset, first snapshot-download the entire repository to your local machine. Then you can use the example script in the GitHub repository with your local data folder to use the parquet file.
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