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README.md

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+---
+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 source code from **GitHub's top trending developers (2015-2025)**. Unlike bulk code scrapes, this dataset is filtered to code written by developers who repeatedly appeared on GitHub's trending page, linking each file to rich developer and repository metadata.
+
+## Dataset Summary
+
+- **1.3M+ source code files** from ~13,500 repositories across ~4,700 unique developers
+- **All programming languages** included (Python, JavaScript, TypeScript, Rust, Go, C/C++, Java, and 80+ more)
+- **Permissive licenses only** (MIT, Apache-2.0, BSD, ISC, etc.)
+- **Rich metadata** per file: repo stars, commit count, developer trending rank, 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 | Detected programming language |
+| `file_size` | int64 | File size in bytes |
+| `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_commit_count` | int64 | Total commits on default branch |
+| `repo_license` | string | SPDX license identifier |
+| `repo_description` | string | Repository description |
+| `repo_primary_language` | string | GitHub-detected primary language |
+| `repo_topics` | list[string] | Repository topics/tags |
+| `developer_username` | string | GitHub username |
+| `developer_name` | string | Developer display name |
+| `developer_company` | string | Company affiliation |
+| `developer_times_trended` | int64 | Number of times on GitHub trending page |
+| `developer_best_rank` | int64 | Best trending rank achieved |
+| `developer_avg_rank` | float64 | Average trending rank |
+| `developer_median_rank` | float64 | Median trending rank |
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("ronantakizawa/github-top-code", split="train")
+
+# Filter by language
+python_files = ds.filter(lambda x: x["file_language"] == "Python")
+
+# Filter by stars
+popular = ds.filter(lambda x: x["repo_stars"] > 1000)
+
+# Get files from a specific developer
+dev_files = ds.filter(lambda x: x["developer_username"] == "torvalds")
+```
+
+## What Makes This Dataset Unique
+
+| Feature | This Dataset | The Stack | codeparrot/github-code |
+|---------|-------------|-----------|----------------------|
+| Curated by developer reputation | Yes | No | No |
+| Developer metadata (trending rank, company) | Yes | No | No |
+| Stars per repo | Yes | Yes | No |
+| Commit count | Yes | No | No |
+| Permissive licenses only | Yes | Yes | Mixed |
+
+Existing code datasets are massive bulk scrapes of all public GitHub repos. This dataset is intentionally curated: every file comes from a developer who was recognized on GitHub's trending page, providing a higher signal-to-noise ratio for studying elite developer practices or fine-tuning code models.
+
+## Collection Methodology
+
+1. **Developer sourcing**: 4,763 unique developers extracted from [ronantakizawa/github-top-developers](https://huggingface.co/datasets/ronantakizawa/github-top-developers), which tracks GitHub trending page appearances from 2015-2025 via Wayback Machine snapshots.
+2. **Repository discovery**: For each developer, their top 5 repositories by stars were selected using the GitHub API, filtered to repos they own (not forks or contributions).
+3. **License filtering**: Only repositories with permissive licenses (MIT, Apache-2.0, BSD, ISC, Unlicense, etc.) were included.
+4. **Code extraction**: Repository tarballs were downloaded and source files extracted, skipping binary files, vendored directories (`node_modules`, `vendor`, etc.), generated files, and files exceeding 1MB.
+5. **Metadata enrichment**: Each file is linked to repository metadata (stars, language, topics) and developer metadata (trending history, company).
+
+## Filtering Applied
+
+- **Repos**: Owner-created only (no forks), permissive license, non-empty
+- **Directories skipped**: `node_modules`, `vendor`, `third_party`, `dist`, `build`, `__pycache__`, `.git`, `venv`, and 30+ more
+- **Files skipped**: Binary files, files >1MB, non-UTF-8 files
+- **Top 5 repos per developer** by star count
+
+## Limitations
+
+- Star counts and commit counts reflect the time of collection, not real-time values
+- Some developers may have deleted or renamed their accounts since trending
+- Commit counts are for the default branch only
+- The dataset reflects trending developers specifically, which may over-represent certain languages or project types popular on GitHub
+
+## Source
+
+Built from [ronantakizawa/github-top-developers](https://huggingface.co/datasets/ronantakizawa/github-top-developers) using the GitHub REST API.