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README.md
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Β <img src="https://github.com/HKU-MMLab/Math-VR-CodePlot-CoT/raw/main/figures/teaser.png" width="100%"/>
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### Installation
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To get started with CodePlot-CoT, clone the repository and install the required packages:
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```bash
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conda create -n codeplot python==3.10
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conda activate codeplot
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git clone [email protected]:HKU-MMLab/Math-VR-CodePlot-CoT.git
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cd CodePlot-CoT
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pip install -r requirements.txt
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pip install flash_attn==2.7.4.post1
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```
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For benchmark evaluation only (additional dependencies):
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```bash
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pip install openai==4.1.1
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pip install datasets==2.0.0
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```
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### Model Weights
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Ensure your directory structure for the models looks like this:
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```
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CodePlot-CoT
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βββ ckpts
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β βββ CodePlot-CoT
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β βββ MatPlotCode
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βββ ...
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```
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### Inference
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You can perform inference using the provided scripts:
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```python
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# Convert image to python code with MatPlotCode
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python image_to_code.py
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# Solve math problems with CodePlot-CoT
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python math_infer.py
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```
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For more details on evaluation and benchmarks, please refer to the [project homepage](https://math-vr.github.io) and the [GitHub repository](https://github.com/HKU-MMLab/Math-VR-CodePlot-CoT).
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## Citation
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If you find this work helpful, please consider citing our paper:
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Β <img src="https://github.com/HKU-MMLab/Math-VR-CodePlot-CoT/raw/main/figures/teaser.png" width="100%"/>
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</div>
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For more details, please refer to the [project homepage](https://math-vr.github.io) and the [GitHub repository](https://github.com/HKU-MMLab/Math-VR-CodePlot-CoT).
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## Citation
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If you find this work helpful, please consider citing our paper:
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