metadata

language:
  - en
license: apache-2.0
dataset_info:
  features:
    - name: type
      dtype: string
    - name: text
      dtype: string
    - name: created_at
      dtype: string
    - name: author
      dtype: string
    - name: author_did
      dtype: string
    - name: uri
      dtype: string
    - name: embedded_array
      list:
        - name: alt
          dtype: string
        - name: blob
          dtype: string
        - name: type
          dtype: string
    - name: langs
      sequence: string
    - name: reply_to
      dtype: string
  splits:
    - name: train
      num_bytes: 11615216091
      num_examples: 33371784
  download_size: 4501467572
  dataset_size: 11615216091
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

Millions of bluesky posts

This dataset contains millions public posts collected from Bluesky Social's firehose API, intended for machine learning research and experimentation with social media data.

This dataset was inspired by the Alpindales original 2 million posts dataset, this dataset expands on that dataset with much more data.

Alpins dataset did not get author handles or image urls & metadata that was included in the posts. The images and their captions could potenically be invaluble for training so they have been collected.

The is the largest version of the dataset with the goal being to reach a billion posts.

This dataset is my own and is unaffiliated with bluesky or any potential employer.

Dataset Structure

Curated by: Roro
License: MIT

Uses

The dataset could be used for:

Study social media trends
Research on social media content moderation
Studying conversation structures and reply networks

I have not been able to figure out how to parse the atproto image ref bytes into a image or blob url. I would appreciate a PR for that.

Dataset Curation

The dataset not is filtered, sorting the dataset for quality or moderation may make it more valuable for your use cases. The dataset is as-is and no liablity is provided. There likley are duplicates, however deduping was done for each batch (1 million posts) so the amount is likley negligible.

@article{roronotalt_bluesky,
  author = {Roronotalt},
  title = {Bluesky Dataset},
  year = {2024}
}