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--- |
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license: mit |
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dataset_info: |
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features: |
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- name: type |
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dtype: string |
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- name: text |
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dtype: string |
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- name: created_at |
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dtype: string |
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- name: author |
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dtype: string |
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- name: author_did |
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dtype: string |
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- name: uri |
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dtype: string |
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- name: embedded_array |
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list: |
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- name: alt |
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dtype: string |
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- name: blob |
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dtype: string |
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- name: type |
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dtype: string |
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- name: langs |
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sequence: string |
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- name: reply_to |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 1754581344 |
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num_examples: 5000000 |
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download_size: 740945960 |
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dataset_size: 1754581344 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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--- |
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# Five Million bluesky posts |
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<!-- Provide a quick summary of the dataset. --> |
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This dataset contains 5 million public posts collected from Bluesky Social's firehose API, intended for machine learning research and experimentation with social media data. |
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This dataset was inspired by the Alpindales original 2 million posts dataset, this dataset expands on that dataset with much more data. |
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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. |
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This is the small version of the dataset to come for testing with formatting/smaller projects. |
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This dataset is my own and is unaffiliated with bluesky or any potential employer. |
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## Dataset Structure |
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<!-- Provide a longer summary of what this dataset is. --> |
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- **Curated by:** Roro |
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- **License:** MIT |
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## Uses |
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<!-- Address questions around how the dataset is intended to be used. --> |
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The dataset could be used for: |
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- Study social media trends |
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- Research on social media content moderation |
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- Studying conversation structures and reply networks |
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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. |
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The dataset is meant to be downloaded with the huggingface load_dataset() function. From there you can either run the dataset as a iterable stream so you do not have to worry about memory or you can convert to a pandas dataframe. |
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Note that you will need the to install the following libraries: |
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```bash |
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pip install pandas pyarrow datasets huggingface_hub |
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``` |
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To download/load the huggingface dataset: |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("Roronotalt/bluesky") |
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``` |
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To pandas: |
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```python |
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new_dataset = dataset.to_pandas() |
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``` |
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You can then save the pandas dataframe as a csv. |
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Alternativley if you download the provided dataset parquet file in /data, you can convert the file to a csv using the following python code: |
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```bash |
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python -c "import pandas as pd; |
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df = http://pd.read_parquet('train-0000.parquet', engine='pyarrow'); |
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http://df.to_csv('output_file.csv', index=False) |
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" |
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``` |
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Credit to @TyrantsMuse on twitter for the code snippet |
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## Dataset Curation |
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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. |
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Deduping was done based on the post URIs. The dataset is sorted by the author column. |
