Upload README.md with huggingface_hub

README.md

@@ -24,7 +24,7 @@ A curated dataset of source code from **GitHub's top trending developers (2015-2
 - **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, commit count, developer trending rank, company affiliation
+- **Rich metadata** per file: repo stars, description, primary language, developer company affiliation
 
 ## Schema
 
@@ -34,20 +34,14 @@ Each row represents a single source file:
 |--------|------|-------------|
 | `file_path` | string | Path within the repo (e.g. `src/main.py`) |
 | `file_language` | string | Language detected from file extension (e.g. `Python`, `JavaScript`) |
-| `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 (nullable — null if unavailable) |
-| `repo_license` | string | SPDX license identifier |
 | `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 |
-| `developer_best_rank` | int64 | Best trending rank achieved |
-| `developer_avg_rank` | float64 | Average trending rank |
-| `developer_median_rank` | float64 | Median trending rank |
 
 **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`.
 
@@ -73,9 +67,8 @@ dev_files = ds.filter(lambda x: x["developer_username"] == "torvalds")
 | Feature | This Dataset | The Stack | codeparrot/github-code |
 |---------|-------------|-----------|----------------------|
 | Curated by developer reputation | Yes | No | No |
-| Developer metadata (trending rank, company) | Yes | No | No |
+| Developer metadata (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.
@@ -87,7 +80,7 @@ Existing code datasets are massive bulk scrapes of all public GitHub repos. This
 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. **Source code filtering**: Only source code files are included (80+ language extensions). Configuration files (JSON, YAML, TOML, XML, INI), documentation (Markdown, TXT, RST), and template files are excluded.
-6. **Metadata enrichment**: Each file is linked to repository metadata (stars, language, topics) and developer metadata (trending history, company).
+6. **Metadata enrichment**: Each file is linked to repository metadata (stars, language, description) and developer metadata (username, name, company).
 
 ## Filtering Applied