Update README.md
Browse files
README.md
CHANGED
|
@@ -2,4 +2,48 @@
|
|
| 2 |
license: mit
|
| 3 |
---
|
| 4 |
|
| 5 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2 |
license: mit
|
| 3 |
---
|
| 4 |
|
| 5 |
+
## Dataset Description
|
| 6 |
+
|
| 7 |
+
- **Repository:** [MORepair](https://github.com/barty/morepair)
|
| 8 |
+
- **Paper:** [MORepair: Teaching LLMs to Repair Code via Multi-Objective Fine-tuning](https://arxiv.org/abs/2404.12636)
|
| 9 |
+
- **Point of Contact:** [Boyang Yang](mailto:yby@ieee.org)
|
| 10 |
+
|
| 11 |
+
### Dataset Summary
|
| 12 |
+
|
| 13 |
+
EvalRepair-Java is a benchmark for evaluating Java program repair performance, derived from HumanEval. It contains 163 single-function repair tasks, each with a buggy implementation and its corresponding fixed version.
|
| 14 |
+
|
| 15 |
+
### Supported Tasks
|
| 16 |
+
|
| 17 |
+
- Program Repair: Fixing bugs in Java functions
|
| 18 |
+
- Code Generation: Generating correct implementations from buggy code
|
| 19 |
+
|
| 20 |
+
### Dataset Structure
|
| 21 |
+
|
| 22 |
+
Each example contains:
|
| 23 |
+
- `task_id`: Unique identifier for the task
|
| 24 |
+
- `buggy_code`: The buggy implementation
|
| 25 |
+
- `fixed_code`: The correct implementation
|
| 26 |
+
- `file_path`: Original file path in the HumanEval dataset
|
| 27 |
+
- `issue_title`: Title of the bug
|
| 28 |
+
- `issue_description`: Description of the bug
|
| 29 |
+
- `start_line`: Start line of the buggy function
|
| 30 |
+
- `end_line`: End line of the buggy function
|
| 31 |
+
|
| 32 |
+
### Source Data
|
| 33 |
+
|
| 34 |
+
This dataset is derived from HumanEval, a benchmark for evaluating code generation capabilities. We manually introduced bugs into the original implementations and verified the fixes.
|
| 35 |
+
|
| 36 |
+
### Citation
|
| 37 |
+
|
| 38 |
+
```bibtex
|
| 39 |
+
@article{10.1145/3735129,
|
| 40 |
+
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},
|
| 41 |
+
title = {MORepair: Teaching LLMs to Repair Code via Multi-Objective Fine-Tuning},
|
| 42 |
+
year = {2025},
|
| 43 |
+
publisher = {Association for Computing Machinery},
|
| 44 |
+
issn = {1049-331X},
|
| 45 |
+
url = {https://doi.org/10.1145/3735129},
|
| 46 |
+
doi = {10.1145/3735129},
|
| 47 |
+
journal = {ACM Trans. Softw. Eng. Methodol.},
|
| 48 |
+
}
|
| 49 |
+
```
|