| --- |
| license: mit |
| task_categories: |
| - text-generation |
| language: |
| - code |
| tags: |
| - code |
| - github |
| - source-code |
| - trending-developers |
| - software-engineering |
| size_categories: |
| - 1M<n<10M |
| --- |
| |
| # GitHub Top Developer Source Code |
|
|
| A curated dataset of 1.3M+ source code files from **GitHub's top ranked developers (2015-2025)**. |
|
|
| This dataset is based on the top ranked developers from this dataset: https://huggingface.co/datasets/ronantakizawa/github-top-developers |
|
|
| ## Dataset Summary |
|
|
| - **1.3M+ source code files** from repositories across ~4,700 unique developers |
| - **80+ programming languages** included (Python, JavaScript, TypeScript, Rust, Go, C/C++, Java, and more) |
| - **Source code only** — config files (JSON, YAML, TOML, etc.) and documentation (Markdown, TXT) are excluded |
| - **Permissive licenses only** (MIT, Apache-2.0, BSD, ISC, etc.) |
| - **Rich metadata** per file: repo stars, description, primary language, developer company affiliation |
|
|
|
|
|  |
|
|
| ## Schema |
|
|
| Each row represents a single source file: |
|
|
| | Column | Type | Description | |
| |--------|------|-------------| |
| | `file_path` | string | Path within the repo (e.g. `src/main.py`) | |
| | `file_language` | string | Language detected from file extension (e.g. `Python`, `JavaScript`) | |
| | `content` | string | Raw source code (UTF-8) | |
| | `repo_name` | string | Full repository name (`owner/repo`) | |
| | `repo_stars` | int64 | GitHub star count at time of collection | |
| | `repo_description` | string | Repository description | |
| | `repo_primary_language` | string | GitHub-detected primary language of the repository | |
| | `developer_username` | string | GitHub username | |
| | `developer_name` | string | Developer display name | |
| | `developer_company` | string | Company affiliation | |
|
|
| **Note on language columns:** `file_language` is determined per-file from the file extension (e.g. a `.py` file is always `Python`). `repo_primary_language` is GitHub's auto-detected primary language for the entire repository. These may differ — for example, a C header file (`.h` → `C/C++ Header`) in a repo that GitHub classifies as `Python`. |
|
|
| ## Splits |
|
|
| | Split | Description | |
| |-------|-------------| |
| | `train` | ~90% of repos — for training | |
| | `test` | ~5% of repos — for evaluation | |
| | `validation` | ~5% of repos — for hyperparameter tuning | |
|
|
| Splits are assigned **by repository** (deterministic hash), so no repo appears in multiple splits. This prevents data leakage from files in the same project. |
|
|
| ## Usage |
|
|
| ```python |
| from datasets import load_dataset |
| |
| # Load a specific split |
| train = load_dataset("ronantakizawa/github-top-code", split="train") |
| test = load_dataset("ronantakizawa/github-top-code", split="test") |
| |
| # Filter by language |
| python_files = train.filter(lambda x: x["file_language"] == "Python") |
| |
| # Filter by stars |
| popular = train.filter(lambda x: x["repo_stars"] > 1000) |
| |
| # Get files from a specific developer |
| dev_files = train.filter(lambda x: x["developer_username"] == "torvalds") |
| ``` |
|
|
