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.
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.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
- Script to convert Jupyter notebooks to scripts
- Scripts to convert Jupyter notebooks to structured markdown-code-output triplets
decontamination: script to remove files that match test-samples from code generation benchmarks.