repo_name stringclasses 25
values | repo_full_name stringclasses 25
values | owner stringclasses 25
values | stars int64 117k 496k | license stringclasses 7
values | repo_description stringclasses 25
values | filepath stringlengths 9 75 | file_type stringclasses 3
values | language stringclasses 2
values | content stringlengths 24 383k | size_bytes int64 25 387k | num_lines int64 2 4.44k |
|---|---|---|---|---|---|---|---|---|---|---|---|
build-your-own-x | codecrafters-io/build-your-own-x | codecrafters-io | 496,460 | null | Master programming by recreating your favorite technologies from scratch. | README.md | readme | Markdown | [](https://codecrafters.io/github-banner)
## Build your own <insert-technology-here>
This repository is a compilation of well-written, step-by-step guides for re-creating our favorite technologies from scratch.
> *What I cannot create, I do not ... | 47,009 | 505 |
public-apis | public-apis/public-apis | public-apis | 426,584 | MIT | A collective list of free APIs | README.md | readme | Markdown | "# Try Public APIs for free\nThe Public APIs repository is manually curated by community members lik(...TRUNCATED) | 197,082 | 1,896 |
public-apis | public-apis/public-apis | public-apis | 426,584 | MIT | A collective list of free APIs | scripts\README.md | readme | Markdown | "# Public APIs Scripts\n\nThis directory contains all validation and testing scripts used by Public (...TRUNCATED) | 1,952 | 76 |
public-apis | public-apis/public-apis | public-apis | 426,584 | MIT | A collective list of free APIs | scripts\tests\__init__.py | test | Python | # -*- coding: utf-8 -*-
| 25 | 2 |
public-apis | public-apis/public-apis | public-apis | 426,584 | MIT | A collective list of free APIs | scripts\tests\test_validate_format.py | test | Python | "# -*- coding: utf-8 -*-\n\nimport unittest\n\nfrom validate.format import error_message\nfrom valid(...TRUNCATED) | 18,620 | 467 |
public-apis | public-apis/public-apis | public-apis | 426,584 | MIT | A collective list of free APIs | scripts\tests\test_validate_links.py | test | Python | "# -*- coding: utf-8 -*-\n\nimport unittest\n\nfrom validate.links import find_links_in_text\nfrom v(...TRUNCATED) | 5,897 | 173 |
public-apis | public-apis/public-apis | public-apis | 426,584 | MIT | A collective list of free APIs | scripts\validate\__init__.py | python | Python | # -*- coding: utf-8 -*-
from validate import format
from validate import links
| 84 | 5 |
public-apis | public-apis/public-apis | public-apis | 426,584 | MIT | A collective list of free APIs | scripts\validate\format.py | python | Python | "# -*- coding: utf-8 -*-\n\nimport re\nimport sys\nfrom string import punctuation\nfrom typing impor(...TRUNCATED) | 8,741 | 278 |
public-apis | public-apis/public-apis | public-apis | 426,584 | MIT | A collective list of free APIs | scripts\validate\links.py | python | Python | "# -*- coding: utf-8 -*-\n\nimport re\nimport sys\nimport random\nfrom typing import List, Tuple\n\n(...TRUNCATED) | 8,305 | 274 |
awesome | sindresorhus/awesome | sindresorhus | 459,144 | CC0-1.0 | 😎 Awesome lists about all kinds of interesting topics | media\readme.md | readme | Markdown | "# Media\n\n## Logo\n\n- Primary color: `#fc60a8`\n- Secondary color: `#494368`\n- Font: [`Orbitron`(...TRUNCATED) | 218 | 10 |
End of preview. Expand in Data Studio
license: mit task_categories: - text-generation - text-classification - question-answering language: - en tags: - code size_categories: - 10K<n<100K
PyHub: Vetted Python Code from Popular GitHub Repositories
A large-scale dataset of Python source code, test files, and documentation scraped from high-quality GitHub repositories. Designed for training code understanding and generation models, particularly for software engineering benchmarks like SWE-bench.
Dataset Statistics
- Total files: 271,995
- Repositories: 50+ (minimum 50 stars)
- File types: Python source, test files, READMEs
- Time period: Repositories created before January 1, 2020
- Size limit: Maximum 100 MB per repository
- License: MIT
Dataset Structure
Each row in dataset.csv represents a single file with the following columns:
| Column | Description |
|---|---|
repo_name |
Repository name (e.g., "requests") |
repo_full_name |
Full repository name (e.g., "psf/requests") |
owner |
Repository owner (e.g., "psf") |
stars |
Star count |
license |
SPDX license identifier |
repo_description |
Repository description |
filepath |
Relative path within repository |
file_type |
"python", "test", or "readme" |
language |
"Python", "Markdown", "reStructuredText", or "" |
content |
Full file text |
size_bytes |
File size in bytes |
num_lines |
Number of lines |
File Types
- Python source (
.py): Production code files - Test files (
*test*.py): Unit tests and test suites - README files (
README.*): Documentation in Markdown, reStructuredText, or plain text
Collection Methodology
The dataset was collected using a custom GitHub scraper with the following process:
- Repository selection: GitHub API search for repositories with x ≥ 50 stars, created before 2020-01-01, non-fork
- Cloning: Shallow git clone (
--depth 1) with 100 MB size filter to exclude large monorepos - File collection: Recursive walk through cloned repositories, excluding hidden directories (files starting with
.) - File type filtering: Only Python source files (
.py), test files (*test*.py), and README files (README.*) were collected - Content extraction: UTF-8 encoding with error handling for robust text extraction
- Parallel processing: 3 concurrent workers for efficient processing
- CSV generation: All file data consolidated into a single CSV with repository metadata embedded in each row
Quality Filters
- Star threshold: Minimum 50 stars (indicates community vetting)
- Size limit: 100 MB to exclude monorepos and binary-heavy projects
- File type filtering: Only Python, test, and documentation files
- Hidden files excluded: Files/directories starting with
.ignored - Encoding handling: UTF-8 with error fallback
Intended Use Cases
- Code completion: Training autocompletion models on real-world Python patterns
- Bug detection: Learning from production codebases with established testing practices
- Test generation: Understanding test-code relationships from included test files
- Documentation generation: Learning code-documentation correlations from READMEs
- SWE-bench training: Base dataset for software engineering benchmark preparation
- Code understanding: Repository structure and dependency learning
Limitations
- Temporal bias: Pre-2020 code, missing modern Python features (type hints, match statements, structural pattern matching)
- Popularity bias: High-star repos only, may not represent niche or edge-case patterns
- Size limitation: 100 MB cap excludes large enterprise monorepos
- Language bias: Primarily English documentation and comments
- Static only: No execution data, test results, or runtime behavior
Recommended Supplements
For comprehensive model training, consider supplementing with:
- Post-2020 repositories for modern Python patterns
- Smaller repositories for edge-case and niche patterns
- Synthetic examples for specific bug types
- Negative examples (buggy code) for robustness
License
This dataset is licensed under the MIT License. See the LICENSE file for details.
Contact
or you can simply open up an issue for issues or questions that you'd like to adress or ask.
Note: This dataset was created using a custom GitHub scraper tool.
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