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We have wrapped up our EDA, and we now need a streamlined pipeline to decompress, preprocess, and search through the whole Reddit Submission dataset. So here is a preliminary list of tasks we need to complete:
Write a script to decompress each of the files in the Submission dataset-preferrably use stream decompression from the zstandard python library.
Create a pipeline to preprocess and search through the dataset for, using the same principles as in our EDA notebook.
The text was updated successfully, but these errors were encountered:
I just added a decompression script in the "src" directory. It works, but it's slow since I didn't add any form of multiprocessing. It should be fine for now, but I'll incorporate multiprocessing after we validate the output of the full 2018 dataset.
We have wrapped up our EDA, and we now need a streamlined pipeline to decompress, preprocess, and search through the whole Reddit Submission dataset. So here is a preliminary list of tasks we need to complete:
The text was updated successfully, but these errors were encountered: