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Add Active-SWE paper, project page, and logo to dataset card

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  1. README.md +37 -4
  2. assets/Active-SWE.png +3 -0
README.md CHANGED
@@ -10,6 +10,7 @@ tags:
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  - code-review
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  - software-engineering
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  - docker
 
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  configs:
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  - config_name: main
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  data_files:
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  # Active-SWE
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  Active-SWE is a proactive bug-fixing benchmark for evaluating whether a coding
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  model can find and repair functional bugs from a set of files selected for
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  review. It is designed for local Docker-based evaluation and is different from
@@ -127,9 +138,31 @@ The denominator is the number of rows supplied to the corresponding run. The
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  release harness preserves one output row per input instance, including rows
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  that fail during generation or evaluation.
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  ## Citation and source licenses
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- Please cite the Active-SWE paper when using this dataset. The source
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- repositories represented in the benchmark retain their respective licenses;
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- users are responsible for complying with those licenses when inspecting or
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- redistributing source code and patches.
 
 
 
 
 
 
 
 
 
 
 
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  - code-review
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  - software-engineering
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  - docker
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+ - arxiv:2608.04682
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  configs:
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  - config_name: main
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  data_files:
 
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  # Active-SWE
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+ <p align="center">
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+ <img src="https://huggingface.co/datasets/XLearning-SCU/Active-SWE/resolve/main/assets/Active-SWE.png" alt="Active-SWE" width="760">
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+ </p>
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+
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+ <p align="center">
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+ <a href="https://hbinli.github.io/Active-SWE/?v=73ecd04"><b>Project Page</b></a> |
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+ <a href="https://arxiv.org/abs/2608.04682"><b>arXiv</b></a> |
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+ <a href="https://arxiv.org/pdf/2608.04682"><b>PDF</b></a>
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+ </p>
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+
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  Active-SWE is a proactive bug-fixing benchmark for evaluating whether a coding
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  model can find and repair functional bugs from a set of files selected for
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  review. It is designed for local Docker-based evaluation and is different from
 
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  release harness preserves one output row per input instance, including rows
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  that fail during generation or evaluation.
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+ ## Paper
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+
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+ **[Active-SWE: Benchmarking Coding Agents for Proactive Bug Fixing without Issue Reports](https://arxiv.org/abs/2608.04682)**
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+ Haobin Li, Ping Deng, Weizhong Qian, Liang Jiang, Zhenyu Huang, Mouxing Yang, and Xi Peng.
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+ Active-SWE evaluates coding agents on proactively discovering and fixing bugs without issue-report guidance. The benchmark contains 1,663 tasks across six bug categories and eight programming languages, including both single-bug and multi-bug evaluation settings.
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+
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+ - Project page: https://hbinli.github.io/Active-SWE/?v=73ecd04
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+ - Paper: https://arxiv.org/abs/2608.04682
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+ - PDF: https://arxiv.org/pdf/2608.04682
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+
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  ## Citation and source licenses
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+ Please cite the Active-SWE paper when using this dataset:
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+
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+ ```bibtex
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+ @article{li2026activeswe,
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+ title={Active-SWE: Benchmarking Coding Agents for Proactive Bug Fixing without Issue Reports},
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+ author={Li, Haobin and Deng, Ping and Qian, Weizhong and Jiang, Liang and Huang, Zhenyu and Yang, Mouxing and Peng, Xi},
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+ journal={arXiv preprint arXiv:2608.04682},
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+ year={2026}
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+ }
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+ ```
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+
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+ The source repositories represented in the benchmark retain their respective
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+ licenses; users are responsible for complying with those licenses when
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+ inspecting or redistributing source code and patches.
assets/Active-SWE.png ADDED

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