--- 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  <!-- Provide a quick summary of the dataset. --> 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 <!-- Provide a longer summary of what this dataset is. -->  - **Curated by:** Roro - **License:** MIT ## Uses <!-- Address questions around how the dataset is intended to be used. --> 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. ```Bibtex @article{roronotalt_bluesky, author = {Roronotalt}, title = {Bluesky Dataset}, year = {2024} } ```