Python Code Dataset with 25,000 Instructional Tasks

Nitish26's Python Codes 25K dataset contains 24,813 entries of instructional tasks for Python programming. It features four key fields: instruction, input, output, and text, with an average of 508 tokens per example. The dataset was last updated on HuggingFace in January 2026.

Use Cases

• Fine-tune language models for Python code generation using the 'instruction' and 'output' fields.
• Train models to generate code from natural language descriptions found in the 'input' field.
• Analyze behavioral patterns in code generation tasks by examining the relationships between 'instruction', 'input', and 'output'.
• Benchmark model performance on instructional tasks using the 24,580 unique 'instruction' examples.
• Create synthetic training data for program synthesis by leveraging the structured 'text' field containing complete task examples.

Strengths

• Contains 24,813 total entries providing a substantial corpus.
• Offers 24,580 unique instructions for diverse task coverage.
• Provides four structured text fields (instruction, input, output, text) per entry.
• Examples have an average length of 508 tokens, indicating detailed content.

Limitations

• Limited to 3,666 unique inputs, suggesting potential repetition in task contexts.
• Dataset size is moderate for modern large language model training.
• Focus is exclusively on Python, limiting applicability to other programming languages.

Provenance

Source

HuggingFace dataset created by author nitish26.

Collection Method

Curated collection of instructional Python tasks; specific gathering method is not detailed.

Freshness

Last updated on the platform in January 2026.