wildwood77/bluesky-embeddings-daily

🛰️ Bluesky AI Analysis: Public Post Embeddings

This dataset contains vector embeddings of public posts from the Bluesky Social network, generated for the purpose of semantic search, discovery, and language model experimentation.

📦 Contents

Each row in the dataset includes:

• uri: The AT URI of the post.
• created_at: The full timestamp when the post was created.
• created_date: The UTC calendar date (YYYY-MM-DD).
• created_hour: The UTC hour of day (0–23).
• text: The post's text content.
• embedding: A 384-dimensional float vector representing the post's semantic content.
• post_url: A link to the post on bsky.app.

The data is stored in Apache Parquet format for efficient querying and vector-based access.

📈 Embeddings

Embeddings are generated using sentence-transformers/all-MiniLM-L6-v2, a compact transformer model optimized for semantic similarity tasks. Each post is truncated to 300 characters prior to embedding.

🔁 Update Schedule

This dataset is updated twice daily, covering posts from the previous 3 days. New files may appear before old ones are consolidated.

📊 Use Cases

This dataset is suitable for:

• Semantic search and nearest-neighbor lookup
• Topic clustering
• Prompt tuning and LLM finetuning (with care)
• Language model evaluation on real-world social content

⚠️ Caveats

• Public posts only: Only publicly visible Bluesky posts are included.
• No personal data: The dataset does not include private user information or DMs.
• Post volume: High-volume time slices may result in multiple files per day, eventually consolidated into daily files.
• Embeddings only: This is not a full social graph or post archive — it's for semantic work.

🧪 Example Usage (Python)

import duckdb

con = duckdb.connect()
df = con.execute("SELECT * FROM 'posts-2025-07-14.parquet' LIMIT 5").fetchdf()
print(df[['text', 'embedding']])

🛠️ Source & Pipeline

This dataset is generated by the open-source project:
🔗 github.com/wildwood/bluesky-ai-analysis

📜 License

This dataset is made available under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. Use it freely, but please provide attribution.

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For questions or suggestions, feel free to open an issue on the GitHub repo or contact the maintainer.