Python Code Optimization Pairs with Complexity Analysis, 3,000 Samples

SeifElden2342532 created a dataset of 3,000 Python code snippet pairs demonstrating performance bottlenecks and their optimized versions. Each entry includes complexity analysis for time and space and a technical explanation for the optimization. The dataset was last updated on March 31, 2026.

Use Cases

• Training code generation models to produce optimized versions based on inefficient input code.
• Fine-tuning models for performance-aware code completion using the provided complexity analysis.
• Benchmarking models on code refactoring tasks using the paired snippet structure.
• Analyzing common Python performance patterns from the technical explanations.

Strengths

• Contains 3,000 paired samples, providing a substantial corpus for training.
• Each pair includes explicit complexity analysis for time and space.
• Entries contain technical explanations, adding educational context to the data.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect bias inherent to the specific examples curated by the author.

Provenance

Source

huggingface

Collection Method

Curated by author SeifElden2342532; specific gathering method is unknown.

Time Range

null

Freshness

Last updated 2026-03-31 18:41:33; freshness should be verified.

Geography

null