| license: mit | |
| size_categories: | |
| - 100K<n<1M | |
| task_categories: | |
| - text-generation | |
| tags: | |
| - code | |
| # SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution | |
| <p align="left"> | |
| <a href="https://hf.co/papers/2501.05040">📃 Paper </a> | | |
| <a href="https://github.com/InternLM/SWE-Fixer" > 🚀 GitHub</a> | |
| </p> | |
| SWE-Fixer is a simple yet effective solution for addressing real-world GitHub issues by training open-source LLMs. It features a streamlined retrieve-then-edit pipeline with two core components: a code file retriever and a code editor. | |
| This repo holds the data **SWE-Fixer-Train-110K** we curated for SWE-Fixer training. | |
| For more information, please visit our [project page](https://github.com/InternLM/SWE-Fixer). | |
| ## 📚 Citation | |
| ``` | |
| @article{xie2025swefixer, | |
| title={SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution}, | |
| author={Xie, Chengxing and Li, Bowen and Gao, Chang and Du, He and Lam, Wai and Zou, Difan and Chen, Kai}, | |
| journal={arXiv preprint arXiv:2501.05040}, | |
| year={2025} | |
| } | |
| ``` |