README.md

Stack-Smol-Docstrings

This dataset contains Python functions extracted from The Stack (small) dataset, selected for their high-quality docstrings and implementations. Each sample includes the function's docstring, implementation, and a masked version of the code where the function is replaced with a comment.

The dataset is designed for code completion tasks where a model needs to restore a function that has been replaced with a comment. The model is provided with:

1. The full file context with the function replaced by a comment
2. The docstring of the function
3. The function name

The model's task is to generate code that replaces the comment with a proper implementation of the function based on the docstring and surrounding context.

Dataset Structure

Each sample contains:

• function_name: Name of the function
• docstring: The function's docstring
• masked_code: The full file with the function replaced by a comment
• implementation: The original function implementation
• start_line: The starting line number of the function in the original file
• end_line: The ending line number of the function in the original file
• file_content: The full original file content

Quality Filtering

Functions are filtered based on:

• Docstring quality (length, structure, descriptiveness)
• Implementation quality (no SQL strings, reasonable number of variables, sufficient complexity)

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dataset_info: features: - name: function_name dtype: string - name: docstring dtype: string - name: masked_code dtype: string - name: implementation dtype: string - name: start_line dtype: int32 - name: end_line dtype: int32 - name: file_content dtype: string splits: - name: train num_bytes: 420616564 num_examples: 2760 download_size: 64655948 dataset_size: 420616564 configs: - config_name: default data_files: - split: train path: data/train-*