README.md

metadata

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 and is intended for offline analysis, research, and downstream search/indexing.

See Demo which uses trained embeddings

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.