LeetCode-Hard

LeetCode-Hard is a benchmark dataset for code generation, consisting of 40 challenging LeetCode "hard-level" questions across 19 programming languages. It is designed to evaluate the problem-solving and functional correctness capabilities of large language models (LLMs), particularly in handling complex algorithmic tasks. This dataset was used to assess the Reflexion framework, which leverages verbal reinforcement learning to improve LLM performance on difficult coding problems.