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README.md

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-license: apache-2.0
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+# EvoCodeBench
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+EvoCodeBench is an evolutionary code generation benchmark aligned with real-world code repositories. 
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+Details of EvoCodeBench can be found in our paper "EvoCodeBench: An Evolving Code Generation Benchmark Aligned with Real-world Code Repositories".
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+**Paper:** https://arxiv.org/pdf/2404.00599.pdf
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+**Data and Source Code:** https://github.com/seketeam/EvoCodeBench
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+## Features
+
+Compared to existing benchmarks (e.g., HumanEval), EvoCodeBench has the following features:
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+- 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).
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+A sample in EvoCodeBench is shown as follows.
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+![Example](images/Example.png)
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+## 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.
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+The evaluation results are shown as follows.
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+![Leaderboard](images/LeadBoard.png)