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