Datasets:
|
Download README.md from Mieaz/github-repos-metadata-ge3: direct link, hf CLI and curl.
- Browser
- Download file 4.06 kB
-
https://huggingface.co/datasets/Mieaz/github-repos-metadata-ge3/resolve/main/README.md
- Command line
-
hf download hf://datasets/Mieaz/github-repos-metadata-ge3/README.md
-
curl -L -o README.md https://huggingface.co/datasets/Mieaz/github-repos-metadata-ge3/resolve/main/README.md
4.06 kB
metadata
license: cc-by-4.0
task_categories:
- text-retrieval
tags:
- github
- code
- metadata
- software-engineering
- open-source
- astronomy
- machine-learning
size_categories:
- 1M<n<10M
configs:
- config_name: default
data_files:
- split: train
path: data/train-*.parquet
GitHub All Repositories Metadata Dataset (>= 3 Stars)
A comprehensive metadata dataset covering 5,289,726 public GitHub repositories with 3 or more stars (>= 3) spanning the history of GitHub from 2008 to 2026.
Data Recency & Snapshot Notice
- Snapshot Methodology: This dataset combines a comprehensive historical base archive (up to mid-2022) with continuous periodic crawler snapshots (2023 through 2026).
- Star Counts & Metrics: Star counts and repository metrics reflect the recorded values at the time of each repository's latest crawl/snapshot. Actively maintained projects may have higher live star counts on GitHub.com today.
- Coverage: Includes active and historical repositories created between 2008 and 2026.
Key Features
- Total Repositories: 5,289,726
- Rich Topics & Descriptions: Native tag arrays (
topics), repo descriptions, licenses, homepage links, and star/fork metrics. - Fast Search: Designed for instant topical search (e.g., Astronomy, BioInformatics, WebAssembly, Robotics, Machine Learning) using DuckDB, Polars, or Hugging Face
datasets. - Deduplicated & Cleaned: Deduplicated by
owner/repo, prioritized by latest activity and rich metadata.
Dataset Schema
| Column | Type | Example | Description |
|---|---|---|---|
full_name |
string |
astropy/astropy |
Full repository name (owner/repo) |
owner |
string |
astropy |
Organization or username |
name |
string |
astropy |
Repository name |
description |
string |
Astronomy and astrophysics core library for Python |
Repository description |
topics |
list<string> |
['astronomy', 'astrophysics', 'python', 'fits'] |
List of repository topic tags |
language |
string |
Python |
Primary programming language |
stars |
int64 |
4820 |
Recorded stargazer count at snapshot |
forks |
int64 |
1540 |
Recorded fork count at snapshot |
license |
string |
bsd-3-clause |
Open source license key |
homepage |
string |
https://www.astropy.org |
Project homepage / website |
created_at |
timestamp |
2011-08-25 21:00:00 |
Repository creation date |
last_active |
timestamp |
2026-06-15 12:30:00 |
Most recent activity / push date |
Quickstart: How to Find Projects (e.g., Astronomy)
1. Using Hugging Face datasets (Streaming / No full download required)
from datasets import load_dataset
# Stream the dataset directly from Hugging Face
ds = load_dataset("Mieaz/github-repos-metadata-ge3", split="train", streaming=True)
# Find all repositories with 'astronomy' or 'astrophysics'
astronomy_repos = []
for repo in ds:
topics = [t.lower() for t in (repo.get("topics") or [])]
desc = (repo.get("description") or "").lower()
if "astronomy" in topics or "astronomy" in desc or "astrophysics" in topics:
astronomy_repos.append(repo)
if len(astronomy_repos) >= 20:
break
for r in astronomy_repos:
print(f"⭐ {r['stars']:>5} | {r['full_name']:<35} | {r['description'][:60]}")
2. Using DuckDB (Instant SQL Queries on Remote Parquet)
import duckdb
con = duckdb.connect()
query = '''
SELECT full_name, stars, language, description, topics
FROM 'hf://datasets/Mieaz/github-repos-metadata-ge3/data/train-*.parquet'
WHERE list_contains(topics, 'astronomy')
OR description ILIKE '%astronomy%'
ORDER BY stars DESC
LIMIT 15;
'''
print(con.execute(query).df())
License & Attribution
- Data compiled from public open-source event logs and repository records under Creative Commons Attribution 4.0 (CC-BY 4.0).