This dataset contains 3,000 pairs of Python code snippets designed to demonstrate common performance bottlenecks and their optimized counterparts. Each entry includes complexity analysis (Time and Space) and a technical explanation for the optimization.
Total Samples: 3,000
Language: Python 3.x
Focus: Performance engineering, Refactoring, and Algorithmic Efficiency.
The dataset is structured to help train or fine-tune models on… See the full description on the dataset page:
https://huggingface.co/datasets/SeifElden2342532/Code-Optimization.
