CodeContests
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Dataset Card for CodeContests Dataset Summary CodeContests is a competitive programming dataset for machine-learning. This dataset was used when training AlphaCode. It consists of programming problems, from a variety of sources: Site URL Source Aizu https://judge.u-aizu.ac.jp CodeNet AtCoder https://atcoder.jp CodeNet
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Papers using CodeContests (5)
- CodeContests+: High-Quality Test Case Generation for Competitive
ProgrammingDecompRL: Solving Harder Problems by Learning Modular Code GenerationACE: Self-Evolving LLM Coding Framework via Adversarial Unit Test Generation and Preference OptimizationOpenCodeReasoning: Advancing Data Distillation for Competitive CodingWhat Makes Large Language Models Reason in (Multi-Turn) Code Generation?