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@@ -78,11 +78,29 @@ The dataset could be used for:
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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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- I have been made aware that users wish to manipulate the data as a CSV. Here is how you can do so (provided you have the parquet file in the /data folder)
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  ```bash
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- pip install pandas pyarrow
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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  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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+
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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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+
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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)