OpenCompass/opencompass/configs/datasets/xlivecodebench/README.md

LiveCodeBench

Dataset

LiveCodeBench provides holistic and contamination-free evaluation of coding capabilities of LLMs. Particularly, LiveCodeBench continuously collects new problems over time from contests across three competition platforms -- LeetCode, AtCoder, and CodeForces. Next, LiveCodeBench also focuses on a broader range of code-related capabilities, such as self-repair, code execution, and test output prediction, beyond just code generation. Currently, LiveCodeBench hosts four hundred high-quality coding problems that were published between May 2023 and March 2024.

• Origin Project: https://livecodebench.github.io/leaderboard.html

Setting

Model Type	Code Generation	Test Output Prediction	Code Execution
Base Model	❌	❌	❌
Chat Model	✅	✅	✅

Baseline Performance

Model Type	Code Generation(pass@1)	Test Output Prediction(pass@1)	Code Execution(pass@1)
Qwen2.5-7B-Instruct(HF)	39.25	48.64	41.96
Meta-Llama-3.1-8B-Instruct(HF)	20.25	24.66	17.12

Citation

@article{jain2024livecodebench,
  author    = {Naman Jain, King Han, Alex Gu, Wen-Ding Li, Fanjia Yan, Tianjun Zhang, Sida Wang, Armando Solar-Lezama, Koushik Sen, Ion Stoica},
  title     = {LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code},
  year      = {2024},
  journal   = {arXiv preprint},
}
@misc{2023opencompass,
    title={OpenCompass: A Universal Evaluation Platform for Foundation Models},
    author={OpenCompass Contributors},
    howpublished = {\url{https://github.com/open-compass/opencompass}},
    year={2023}
}