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README.md

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+---
+license: apache-2.0
+datasets:
+- MathGenie/MathCode-Pile
+language:
+- en
+metrics:
+- accuracy
+base_model:
+- meta-llama/Meta-Llama-3-8B
+pipeline_tag: text-generation
+tags:
+- math
+---
+
+# MathCoder2
+
+### Introduction
+
+The MathCoder2 models are created by conducting continued pretraining on [MathCode-Pile](https://huggingface.co/datasets/MathGenie/MathCode-Pile). They are introduced in the paper [MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical Code](https://arxiv.org/abs/2410.08196).
+
+The mathematical pretraining dataset includes mathematical code accompanied with natural language reasoning steps, making it a superior resource for models aimed at performing advanced mathematical reasoning tasks.
+
+### Evaluation
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/65dd9e7b4a4fce1ec96dc6b7/BEZoDZLjp-fPFlt7oFXBa.png)
+
+### Citation
+
+If you find this repository helpful, please consider citing our papers:
+
+```
+@misc{lu2024mathcoder2bettermathreasoning,
+      title={MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical Code}, 
+      author={Zimu Lu and Aojun Zhou and Ke Wang and Houxing Ren and Weikang Shi and Junting Pan and Mingjie Zhan and Hongsheng Li},
+      year={2024},
+      eprint={2410.08196},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2410.08196}, 
+}
+```
+```
+@inproceedings{
+wang2024mathcoder,
+title={MathCoder: Seamless Code Integration in {LLM}s for Enhanced Mathematical Reasoning},
+author={Zimu Lu and Aojun Zhou and Zimu Lu and Sichun Luo and Weikang Shi and Renrui Zhang and Linqi Song and Mingjie Zhan and Hongsheng Li},
+booktitle={The Twelfth International Conference on Learning Representations},
+year={2024},
+url={https://openreview.net/forum?id=z8TW0ttBPp}
+}
+```

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