--- license: other license_name: open-data-attribution-training-disclosure-license-odatl-1.0 license_link: LICENSE language: - en tags: - code - synthetic - real-code - github - high-quality - max-code size_categories: - 100M5000 sort:stars desc` – 500 most-starred repos. First 50: - `codecrafters-io/build-your-own-x` - `sindresorhus/awesome` - `public-apis/public-apis` - `freeCodeCamp/freeCodeCamp` - `EbookFoundation/free-programming-books` - `openclaw/openclaw` - `donnemartin/system-design-primer` - `nilbuild/developer-roadmap` - `jwasham/coding-interview-university` - `vinta/awesome-python` - `awesome-selfhosted/awesome-selfhosted` - `obra/superpowers` - `practical-tutorials/project-based-learning` - `996icu/996.ICU` - `mattpocock/skills` - `affaan-m/ECC` - `react/react` - `torvalds/linux` - `NousResearch/hermes-agent` - `trimstray/the-book-of-secret-knowledge` - `TheAlgorithms/Python` - `deepseek-ai/deepseek-harness` - `vuejs/vue` - `multica-ai/andrej-karpathy-skills` - `ossu/computer-science` - `anomalyco/opencode` - `n8n-io/n8n` - `tensorflow/tensorflow` - `DigitalPlatDev/FreeDomain` - `trekhleb/javascript-algorithms` - `ultraworkers/claw-code` - `microsoft/vscode` - `yt-dlp/yt-dlp` - `massgravel/Microsoft-Activation-Scripts` - `ohmyzsh/ohmyzsh` - `Significant-Gravitas/AutoGPT` - `jackfrued/Python-100-Days` - `CyC2018/CS-Notes` - `getify/You-Dont-Know-JS` - `avelino/awesome-go` - `microsoft/markitdown` - `ollama/ollama` - `flutter/flutter` - `firecrawl/firecrawl` - `github/gitignore` - `521xueweihan/HelloGitHub` - `anthropics/skills` - `twbs/bootstrap` - `f/prompts.chat` - `huggingface/transformers` ... and 450 more. ## How It Was Built (Maximum Code Philosophy) ```python # For each repo in top 500: # 1. Try main.zip, then master.zip, plus codeload URLs # 2. NO SIZE LIMIT – even torvalds/linux, freeCodeCamp, etc. # 3. Upload zip to github_code_zips/owner__repo.zip (direct commit) # 4. Extract zip, upload folder to github_code/owner__repo/ (direct commit) # 5. Delete local temp immediately – nothing kept locally # 6. Repeat until 500 ``` ## Use Cases - Pre-training LLMs on massive real code - Fine-tuning for code correction (synthetic) - Code generation, completion, understanding - Maximum code = maximum learning ## Licenses - Synthetic CSV: ODA-TL v1.0 - Real GitHub code: Respective original licenses (check each repo's LICENSE) - Use responsibly. ## Links - Dataset: https://huggingface.co/datasets/Corpus-NZ/High-Quality-Code - In progress – final README will have full stats at 500 repos. *Built by Corpus-NZ – maximum code, direct commits, no local storage.*