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license: mit
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---
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license: mit
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---
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## Dataset Description
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- **Repository:** [MORepair](https://github.com/barty/morepair)
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- **Paper:** [MORepair: Teaching LLMs to Repair Code via Multi-Objective Fine-tuning](https://arxiv.org/abs/2404.12636)
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- **Point of Contact:** [Boyang Yang](mailto:[email protected])
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### Dataset Summary
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D4J-Repair is a curated subset of Defects4J, containing 371 single-function Java bugs from real-world projects. Each example includes a buggy implementation, its corresponding fixed version, and unit tests for verification.
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### Supported Tasks
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- Program Repair: Fixing bugs in Java functions
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- Code Generation: Generating correct implementations from buggy code
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### Dataset Structure
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Each row contains:
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- `task_id`: Unique identifier for the task (in format: project_name-bug_id)
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- `buggy_code`: The buggy implementation
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- `fixed_code`: The correct implementation
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- `unit_test`: Unit tests for verifying the correctness of the implementation
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- `prompt`: Prefix information for generating fixed code
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### Source Data
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This dataset is derived from Defects4J, a collection of reproducible bugs from real-world Java projects. We carefully selected and processed single-function bugs to create this benchmark.
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### Citation
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```bibtex
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@article{morepair,
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author = {Yang, Boyang and Tian, Haoye and Ren, Jiadong and Zhang, Hongyu and Klein, Jacques and Bissyande, Tegawende and Le Goues, Claire and Jin, Shunfu},
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title = {MORepair: Teaching LLMs to Repair Code via Multi-Objective Fine-Tuning},
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year = {2025},
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publisher = {Association for Computing Machinery},
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issn = {1049-331X},
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url = {https://doi.org/10.1145/3735129},
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doi = {10.1145/3735129},
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journal = {ACM Trans. Softw. Eng. Methodol.},
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}
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```
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