| --- |
| license: cc-by-4.0 |
| pretty_name: "Farcaster Open Social Dataset" |
| tags: |
| - social-media |
| - farcaster |
| - farcaster-threads |
| - tabular |
| - parquet |
| - datasets |
| language: [] |
| task_categories: |
| - text-retrieval |
| --- |
| |
|
|
| # Farcaster Threads Dataset |
|
|
|  |
|
|
| ## Overview |
|
|
| This dataset contains high-quality thread data from Farcaster's entire history, featuring 512-dimensional embeddings generated using VoyageAI (float32) on formatted thread text. The dataset includes comprehensive thread metadata, engagement metrics, and vector embeddings suitable for semantic search, recommendation systems, and content analysis. |
|
|
| ## Dataset Details |
|
|
| - **Total Records**: ~20,182,407 threads |
| - **Data Cutoff**: 2025-08-02 02:20:49.000 +0800 (no threads newer than this date) |
| - **Quality Filter**: Non-spam content only (spam label = 2), low-effort replies and threads removed. |
| - **Embedding Model**: VoyageAI 512-dimensional float32 vectors |
| - **Repository**: [shoni/farcaster](https://huggingface.co/datasets/shoni/farcaster) |
| - **Data Location**: `/threads` folder |
|
|
| ## Schema |
|
|
| | Column | Type | Description | |
| |--------|------|-------------| |
| | `hash` | bytes | Unique thread identifier (primary key) | |
| | `fids` | list[int] | FIDs of reply authors, ordered by reaction count (most reacted first) | |
| | `reactions` | int | Total reaction count from non-spam users | |
| | `author_fid` | int | FID of the original thread author | |
| | `timestamp` | timestamp | Thread creation date | |
| | `claimed_at` | timestamp | When thread was claimed by processing worker | |
| | `blob` | string | Formatted thread text including replies and author information | |
| | `blob_embedding` | list[float32] | 512-dimensional VoyageAI embeddings of the blob text | |
| | `blob_timestamp` | timestamp | Timestamp of when the blob text was generated | |
| | `blob_embedding_binary` | bytes | Binary representation of the embeddings (512 bits) | |
|
|
| ## Data Quality |
|
|
| - **Spam Filtering**: Only includes threads with spam label = 2 (verified non-spam) |
| - **Engagement Metrics**: Reaction counts filtered to exclude spam users |
| - **Historical Coverage**: Complete Farcaster thread history up to cutoff date |
| - **Reply Ordering**: Reply authors (`fids`) sorted by engagement for relevance |
|
|
| ## Use Cases |
|
|
| - Semantic search over Farcaster content |
| - Thread recommendation systems |
| - Content similarity analysis |
| - Social network analysis |
| - Engagement prediction modeling |
| - Community detection and analysis |
|
|
| ## Loading the Dataset |
|
|
| ```python |
| from datasets import load_dataset |
| |
| # Load the dataset |
| dataset = load_dataset("shoni/farcaster", data_dir="threads") |
| |
| # Access embeddings |
| embeddings = dataset['train']['blob_embedding'] |
| |
| # Access formatted thread text |
| threads = dataset['train']['blob'] |
| ``` |
|
|
| ## Citation |
|
|
| If you use this dataset in your research, please cite: |
|
|
| ``` |
| @dataset{farcaster_open_social_dataset_2025, |
| title={Farcaster Open Social Dataset}, |
| author={shoni}, |
| year={2025}, |
| url={https://huggingface.co/datasets/shoni/farcaster} |
| } |
| ``` |
|
|
| ## License |
|
|
| CC-BY-4.0 |
|
|
| ## Example Thread |
|
|
| Note: The actual `blob_embedding` content in the dataset uses private formatting techniques that slightly differ from the displayed blob text in the dataset. The displayed blob text is a human-readable format, replies are ordered from most to least popular (as whole branches): |
|
|
| ``` |
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| ~1: @compusophy: cool!! though no need to use the word first here |
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| ``` |
|
|
| ## Repository |
|
|
| [https://huggingface.co/datasets/shoni/farcaster](https://huggingface.co/datasets/shoni/farcaster) |
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|
