Awesome

BigCode Dataset

This repository gathers all the code used to build the BigCode datasets such as The Stack as well as the preprocessing necessary used for model training.

Contents

• language_selection: notebooks and file with language to file extensions mapping used to build the Stack v1.1.
• pii: code for running PII detection and anonymization on code datasets.
• decontamination: script to remove files that match test-samples from code generation benchmarks.
• preprocessing: code for filtering code datasets based on:
  • line length and percentage of alphanumeric characters (basic filter)
  • number of stars, comments to code ratio, tokenizer fertility
  • Additionnal filters used for StarCoder Training:
    • basic-filter with parameters that depend on the file's extension.
    • filter to remove XML files
    • filter for HTML based on displayed-text VS code ratio
    • filter to remove small and large files (for json and yaml)
    • code to generate full-content with meta (repo-name, filename, num stars) for training
  • Filters for GitHub Issues
  • Filters for Git Commits
  • Code to convert Jupyter notebooks to scripts
  • Code to convert Jupyter notebooks to structured markdown-code-output triplets