Interim README: 12 repos uploaded - max code in progress
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README.md
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language:
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- en
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- code
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- 100M<n<1B
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---
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#
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A **massive, high-quality
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##
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language:
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- en
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tags:
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- code
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- synthetic
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- real-code
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- github
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- high-quality
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- max-code
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size_categories:
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- 100M<n<1B
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- 1B<n<10B
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- 10B<n<100B
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---
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# High-Quality-Code: Synthetic + Real (MAXIMUM CODE)
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A **massive, high-quality code dataset** built with **maximum code philosophy** – as much code as possible.
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## Components
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1. **Synthetic syntax-correction dataset** – 5M+ examples across 33 languages (original `code_syntax_dataset_1GB.csv`)
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2. **Real high-quality code from GitHub** – 500 top-starred repositories – **BOTH zips and extracted source**
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## Current Status: IN PROGRESS
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- **Target**: 500 repos
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- **Currently uploaded**: 12 extracted repos in `github_code/` + 6 zips in `github_code_zips/`
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- **Upload method**: Direct commit to main, zip version (main→master fallback), no size limit, temp files deleted after upload
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- **Process**: Running in background – final-max-code-uploader
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This README will be updated again when 500 is reached.
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## Structure (Maximum Code)
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```
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.
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├── code_syntax_dataset_1GB.csv # Synthetic: wrong_code, correct_code, explanation, language
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├── github_code/ # Real: Extracted source – MAX CODE
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│ ├── owner__repo/
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│ └── ...
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├── github_code_zips/ # Real: Original zips – MAX PRESERVATION
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│ ├── owner__repo.zip
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│ └── ...
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└── README.md
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```
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- `github_code/` – extracted source code for training (all files, no filtering)
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- `github_code_zips/` – original zip archives for reproducibility
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Both are uploaded for **maximum code**.
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## Top 500 Source
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Fetched via GitHub API: `stars:>5000 sort:stars desc` – 500 most-starred repos.
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First 50:
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- `codecrafters-io/build-your-own-x`
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- `sindresorhus/awesome`
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- `public-apis/public-apis`
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- `freeCodeCamp/freeCodeCamp`
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- `EbookFoundation/free-programming-books`
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- `openclaw/openclaw`
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- `donnemartin/system-design-primer`
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- `nilbuild/developer-roadmap`
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- `jwasham/coding-interview-university`
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- `vinta/awesome-python`
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- `awesome-selfhosted/awesome-selfhosted`
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- `obra/superpowers`
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- `practical-tutorials/project-based-learning`
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- `996icu/996.ICU`
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- `mattpocock/skills`
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- `affaan-m/ECC`
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- `react/react`
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- `torvalds/linux`
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- `NousResearch/hermes-agent`
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- `trimstray/the-book-of-secret-knowledge`
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- `TheAlgorithms/Python`
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- `deepseek-ai/deepseek-harness`
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- `vuejs/vue`
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- `multica-ai/andrej-karpathy-skills`
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- `ossu/computer-science`
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- `anomalyco/opencode`
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- `n8n-io/n8n`
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- `tensorflow/tensorflow`
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- `DigitalPlatDev/FreeDomain`
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- `trekhleb/javascript-algorithms`
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- `ultraworkers/claw-code`
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- `microsoft/vscode`
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- `yt-dlp/yt-dlp`
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- `massgravel/Microsoft-Activation-Scripts`
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- `ohmyzsh/ohmyzsh`
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- `Significant-Gravitas/AutoGPT`
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- `jackfrued/Python-100-Days`
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- `CyC2018/CS-Notes`
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- `getify/You-Dont-Know-JS`
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- `avelino/awesome-go`
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- `microsoft/markitdown`
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- `ollama/ollama`
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- `flutter/flutter`
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- `firecrawl/firecrawl`
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- `github/gitignore`
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- `521xueweihan/HelloGitHub`
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- `anthropics/skills`
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- `twbs/bootstrap`
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- `f/prompts.chat`
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- `huggingface/transformers`
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... and 450 more.
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## How It Was Built (Maximum Code Philosophy)
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```python
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# For each repo in top 500:
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# 1. Try main.zip, then master.zip, plus codeload URLs
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# 2. NO SIZE LIMIT – even torvalds/linux, freeCodeCamp, etc.
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# 3. Upload zip to github_code_zips/owner__repo.zip (direct commit)
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# 4. Extract zip, upload folder to github_code/owner__repo/ (direct commit)
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# 5. Delete local temp immediately – nothing kept locally
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# 6. Repeat until 500
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```
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## Use Cases
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- Pre-training LLMs on massive real code
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- Fine-tuning for code correction (synthetic)
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- Code generation, completion, understanding
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- Maximum code = maximum learning
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## Licenses
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- Synthetic CSV: ODA-TL v1.0
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- Real GitHub code: Respective original licenses (check each repo's LICENSE)
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- Use responsibly.
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## Links
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- Dataset: https://huggingface.co/datasets/Corpus-NZ/High-Quality-Code
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- In progress – final README will have full stats at 500 repos.
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*Built by Corpus-NZ – maximum code, direct commits, no local storage.*
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