A 100-million-row synthetic dataset of code diffs labeled for destructive-change detection — the kind of change that silently drops data, tables, or columns in a migration or deploy. Every diff in this dataset is fabricated; none of it comes from real repositories, so there's no copyright or licensing entanglement.
Detecting a truly destructive change is harder than it looks. A plain regex for DROP TABLE or DELETE FROM catches the obvious cases… See the full description on the dataset page:
https://huggingface.co/datasets/ziadatalabs/FreeCodeDiffs100M.
