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  # InfiMM-WebMath-40B Dataset
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  **InfiMM-WebMath-40B** is a large-scale, open-source multimodal dataset specifically designed for mathematical reasoning tasks. It incorporates both text and images, extracted from web documents, to advance the pre-training of Multimodal Large Language Models (MLLMs). The dataset is tailored to support sophisticated reasoning tasks that involve understanding both text and visual elements like diagrams, figures, and geometric plots.
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  ## Dataset Overview
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  # Citation
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  ```
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  ```
 
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  # InfiMM-WebMath-40B Dataset
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+ [ArXiv](https://arxiv.org/abs/2409.12568)| [PDF](https://arxiv.org/pdf/2409.12568)
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  **InfiMM-WebMath-40B** is a large-scale, open-source multimodal dataset specifically designed for mathematical reasoning tasks. It incorporates both text and images, extracted from web documents, to advance the pre-training of Multimodal Large Language Models (MLLMs). The dataset is tailored to support sophisticated reasoning tasks that involve understanding both text and visual elements like diagrams, figures, and geometric plots.
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  ## Dataset Overview
 
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  # Citation
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  ```
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+ @misc{han2024infimmwebmath40badvancingmultimodalpretraining,
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+ title={InfiMM-WebMath-40B: Advancing Multimodal Pre-Training for Enhanced Mathematical Reasoning},
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+ author={Xiaotian Han and Yiren Jian and Xuefeng Hu and Haogeng Liu and Yiqi Wang and Qihang Fan and Yuang Ai and Huaibo Huang and Ran He and Zhenheng Yang and Quanzeng You},
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+ year={2024},
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+ eprint={2409.12568},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CV},
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+ url={https://arxiv.org/abs/2409.12568},
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+ }
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  ```