Update README.md

README.md

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----
-license: mit
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+---
+license: mit
+---
+
+## Dataset Description
+
+- **Repository:** [MORepair](https://github.com/barty/morepair)
+- **Paper:** [MORepair: Teaching LLMs to Repair Code via Multi-Objective Fine-tuning](https://arxiv.org/abs/2404.12636)
+- **Point of Contact:** [Boyang Yang](mailto:[email protected])
+
+### Dataset Summary
+
+EvalRepair-C++ is a benchmark for evaluating C++ program repair performance, derived from HumanEval. It contains 164 single-function repair tasks, each with a buggy implementation and its corresponding fixed version.
+
+### Supported Tasks
+
+- Program Repair: Fixing bugs in C++ functions
+- Code Generation: Generating correct implementations from buggy code
+
+### Dataset Structure
+
+Each row contains:
+- `task_id`: Unique identifier for the task (same as HumanEval)
+- `buggy_code`: The buggy implementation
+- `fixed_code`: The correct implementation
+- `unit_test`: Unit tests for verifying the correctness of the implementation
+- `prompt`: Prefix information for generating fixed code
+
+### Source Data
+
+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.
+
+### Citation
+
+```bibtex
+@article{morepair,
+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},
+title = {MORepair: Teaching LLMs to Repair Code via Multi-Objective Fine-Tuning},
+year = {2025},
+publisher = {Association for Computing Machinery},
+issn = {1049-331X},
+url = {https://doi.org/10.1145/3735129},
+doi = {10.1145/3735129},
+journal = {ACM Trans. Softw. Eng. Methodol.},
+}
+```