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  <div style="display: flex; align-items: center; font-size: 40px; font-weight: bold;">MMCode</div>
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  </div>
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  ## Dataset Description
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  MMCode is a multi-modal code generation dataset designed to evaluate the problem-solving skills of code language models in visually rich contexts (i.e. images).
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  It contains 3,548 questions paired with 6,620 images, derived from real-world programming challenges across 10 code competition websites, with Python solutions and tests provided.
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  Please cite our work if you find it useful:
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  ```
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  @misc{li2024MMCode,
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- author = {Kaixin, Li and Yuchen, Tian and Qisheng, Hu and Ziyang Luo and Wee Sun Lee},
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  title = {MMCode: Evaluating Multi-Modal Code Language Models with Visually Rich Programming Problems},
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  year = {2024},
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  howpublished = {\url{https://github.com/Happylkx/MMCode}},
 
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  <div style="display: flex; align-items: center; font-size: 40px; font-weight: bold;">MMCode</div>
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  </div>
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+ <div><a href="https://github.com/happylkx/MMCode">MMCode Github Repo</a> <img style="display:inline" src="https://img.shields.io/github/stars/happylkx/MMCode?style=for-the-badge
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+ " /></div>
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  ## Dataset Description
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  MMCode is a multi-modal code generation dataset designed to evaluate the problem-solving skills of code language models in visually rich contexts (i.e. images).
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  It contains 3,548 questions paired with 6,620 images, derived from real-world programming challenges across 10 code competition websites, with Python solutions and tests provided.
 
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  Please cite our work if you find it useful:
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  ```
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  @misc{li2024MMCode,
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+ author = {Kaixin, Li and Yuchen, Tian and Qisheng, Hu and Ziyang Luo and Jing Ma},
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  title = {MMCode: Evaluating Multi-Modal Code Language Models with Visually Rich Programming Problems},
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  year = {2024},
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  howpublished = {\url{https://github.com/Happylkx/MMCode}},