EvoCodeBench: An Evolving Code Generation Benchmark Aligned with Real-World Code Repositories
Paper • 2404.00599 • Published • 1
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EvoCodeBench
EvoCodeBench is an evolutionary code generation benchmark aligned with real-world code repositories.
Details of EvoCodeBench can be found in our paper "EvoCodeBench: An Evolving Code Generation Benchmark Aligned with Real-world Code Repositories".
Paper: https://arxiv.org/pdf/2404.00599.pdf
Data and Source Code: https://github.com/seketeam/EvoCodeBench
Features
Compared to existing benchmarks (e.g., HumanEval), EvoCodeBench has the following features:
- Aligned with real-world repositories in multiple dimensions, e.g., code distributions and dependency distributions.
- Comprehensive annotations (e.g., requirements, code, dependencies, and repos) and robust metrics (Pass@k and Recall@k).
- An evolving benchmark to avoid data leakage. The first version - EvoCodeBench-2403 has been released. It contains 275 samples from 25 real-world repositories (created from 10/2023 to 2/2024).
A sample in EvoCodeBench is shown as follows.
Repository-level Code Generation
Based on EvoCodeBench, we propose repository-level code generation and evaluate 10 popular LLMs (e.g., gpt-4, gpt-3.5, DeepSeek Coder, StarCoder 2, CodeLLaMa, Gemma, and Qwen 1.5). All prompts and models' completions have been released for further community analysis.
The evaluation results are shown as follows.
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