Comments (2)
This is a bit late, but I will try to help out.
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download a torrent client (I used qbittorrent) and google how to open a torrent file using the downloaded client.
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you will then have to follow the directions in the README file in the repo to get mongoDB and restore the test database.
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you can now query the data using a python package that interacts with mongoDB (I use pymongo). There might be a better package for interacting with mongoDB directly using pandas, but I usually use numpy so I'm not sure.
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Go ahead and query the database using the above tool (there should be a lot of documentation on tool's website) and load the query into a pandas df...
just note that depending on your system you may not be able to load all of the data at once (~3 Gigs of raw data without database indices). So you might have filter the data a bit to suit your needs or run your data analysis on partitions of the whole set and analyze metadata at the end. Additionally, if you convert all the data into a CSV, I believe pandas has a chunk method that allows you to read data in chunks:
https://datascience.stackexchange.com/questions/27767/opening-a-20gb-file-for-analysis-with-pandas
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Not to grave dig an old issue, but if anyone is still having trouble accessing the data I've uploaded the original MongoDB version as well as a CSV copy and a SQLite database to this folder: https://drive.google.com/drive/folders/1m59TMADiwk3gArT-teUUOBlSKokq51ZL?usp=sharing
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