Multi-SWE-RL is an open-source community focused on building high-quality RL datasets for complex software engineering tasks. Our mission is to enable autonomous agents that solve real-world coding challenges and advance toward Artificial General Intelligence (AGI).
37
66 commits
75 linked in READMEs
updated Jul 23, 2025
Multi-SWE-RL is an open-source community focused on building high-quality RL datasets for complex software engineering tasks. Our mission is to enable autonomous agents that solve real-world coding challenges and advance toward Artificial General Intelligence (AGI).
• 🔮 Core Belief: Scaling RL in real-world environments is the path to human-like intelligence
• 🛠️ Purpose: Create RL data infrastructure for autonomous software engineering agents
Join us in advancing the next generation of autonomous software engineering through open collaboration.
# Make sure git-lfs is installed (https://git-lfs.com)
git lfs install
git clone https://huggingface.co/datasets/ByteDance-Seed/Multi-SWE-RL
The community-initiated first batch of Multi-SWE-RL dataset(data_20240601_20250331) includes two sources of data:
multi_swe_bench_discarded_instances.jsonl.You can see an overview of the Multi-SWE-RL dataset here, and subsequent updates will be synchronized here as well.
Incentive Tiers:
Full details: Contribution Incentive Plan
🚀 Get Started in 2 Steps:
Welcome to our Discord to join in Multi-SWE-RL related discussions!
If you found our Multi-SWE-RL helpful for your work, please cite as follows:
@misc{zan2025multiswebench,
title={Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving},
author={Daoguang Zan and Zhirong Huang and Wei Liu and Hanwu Chen and Linhao Zhang and Shulin Xin and Lu Chen and Qi Liu and Xiaojian Zhong and Aoyan Li and Siyao Liu and Yongsheng Xiao and Liangqiang Chen and Yuyu Zhang and Jing Su and Tianyu Liu and Rui Long and Kai Shen and Liang Xiang},
year={2025},
eprint={2504.02605},
archivePrefix={arXiv},
primaryClass={cs.SE},
url={https://arxiv.org/abs/2504.02605},
}
The dataset is licensed under CC0, subject to any intellectual property rights in the dataset owned by Bytedance. The data is adapted from the listed open source projects; your use of that data must comply with their respective licenses. licenses of all the repositories collected by us are listed below, with an overall low license risk.
Multi-SWE-RL is an open-source community focused on building high-quality RL datasets for complex software engineering tasks. Our mission is to enable autonomous agents that solve real-world coding challenges and advance toward Artificial General Intelligence (AGI).
37
66 commits
75 linked in READMEs
updated Jul 23, 2025
Multi-SWE-RL is an open-source community focused on building high-quality RL datasets for complex software engineering tasks. Our mission is to enable autonomous agents that solve real-world coding challenges and advance toward Artificial General Intelligence (AGI).
• 🔮 Core Belief: Scaling RL in real-world environments is the path to human-like intelligence
• 🛠️ Purpose: Create RL data infrastructure for autonomous software engineering agents
Join us in advancing the next generation of autonomous software engineering through open collaboration.
# Make sure git-lfs is installed (https://git-lfs.com)
git lfs install
git clone https://huggingface.co/datasets/ByteDance-Seed/Multi-SWE-RL
The community-initiated first batch of Multi-SWE-RL dataset(data_20240601_20250331) includes two sources of data:
multi_swe_bench_discarded_instances.jsonl.You can see an overview of the Multi-SWE-RL dataset here, and subsequent updates will be synchronized here as well.
Incentive Tiers:
Full details: Contribution Incentive Plan
🚀 Get Started in 2 Steps:
Welcome to our Discord to join in Multi-SWE-RL related discussions!
If you found our Multi-SWE-RL helpful for your work, please cite as follows:
@misc{zan2025multiswebench,
title={Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving},
author={Daoguang Zan and Zhirong Huang and Wei Liu and Hanwu Chen and Linhao Zhang and Shulin Xin and Lu Chen and Qi Liu and Xiaojian Zhong and Aoyan Li and Siyao Liu and Yongsheng Xiao and Liangqiang Chen and Yuyu Zhang and Jing Su and Tianyu Liu and Rui Long and Kai Shen and Liang Xiang},
year={2025},
eprint={2504.02605},
archivePrefix={arXiv},
primaryClass={cs.SE},
url={https://arxiv.org/abs/2504.02605},
}
The dataset is licensed under CC0, subject to any intellectual property rights in the dataset owned by Bytedance. The data is adapted from the listed open source projects; your use of that data must comply with their respective licenses. licenses of all the repositories collected by us are listed below, with an overall low license risk.