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3.11 kB
| 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") | |
| ``` | |