AI OSS Impact Study Dataset

Dataset for the research paper "Observable Changes in Open Source Development Patterns Before and After AI Coding Tools: A Multi-Repository Study". Contains monthly development metrics from 21 major open source repositories (January 2020 - December 2025), including commit activity, pull request statistics, issue resolution times, contributor data, and AI tool mention tracking. The dataset enables analysis of development pattern changes around the October 2022 breakpoint (GitHub Copilot GA and ChatGPT launch). This SQLite database contains 80,000+ records across 6 tables, covering 9 technology clusters: AI/ML frameworks (PyTorch, Transformers), JavaScript frontend (React, Vue, Svelte), Python web (Django, FastAPI, Flask), systems languages (Go, Rust), and more. Metrics include velocity indicators (commits, authors, lines changed), efficiency measures (PR merge time, issue close time), and AI adoption signals (keyword mentions in commits, PRs, issues). See SCHEMA.md for complete field documentation and README.md for usage examples.