---
language:
- en
pretty_name: GitHub Repo Embeddings
license: cc-by-4.0
tags:
- github
- embeddings
- repositories
- recommender-system
task_categories:
- graph-ml
size_categories:
- 1M<n<10M
---

# GitHub Repo Embeddings (Dataset)

This dataset contains:
- GitHub repository embeddings learned from star co-occurrence.
- Raw data for training such embeddings (2016 - 2025 years)

It is generated by the same pipeline as [this repo](https://github.com/Puzer/github-repo-embeddings) and is intended for offline
analysis, research, and downstream search/indexing.

[See Demo which uses trained embeddings](http://puzer.github.io/)

## Summary
- Source: GitHub Archive (BigQuery) WatchEvent + repo metadata.
- Signal: repositories starred together by the same user.
- Model: `torch.nn.EmbeddingBag` trained with MultiSimilarityLoss.
- Embedding size: 128 dims.

## Files
### `starred_repos.parquet`
User-level training data.
- `repo_ids`: list[int], repo ids starred by a user (order preserved from events).

### `repos_meta.parquet`
Repository metadata aligned with the training data.
- `repo_id`: int
- `repo_name`: str (owner/name)
- `stars`: int, frequency of stars in this dataset
- `created_at`: datetime, repo creation date (first push event)
- `last_updated`: datetime, last push event

### `repo_embeddings_with_meta.parquet`
Repository metadata + learned embeddings aligned by `repo_id`.
- Includes columns from `repos_meta.parquet`
- `embedding`: list[float], 128-dim vector

## Notes
- The dataset is derived from public GitHub Archive data and is intended for
  research and demo purposes.