Datasets › LeetCode-Hard
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.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 4 papers for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- LeetCode-Hard
1 variant name, as the archive lists them.
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