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# Notes |
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These are general notes of the entire process from processing to semi-final results. |
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# Filtering Steps |
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## Unpacking (RedditUnpack.py) |
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1. Run `python RedditUnpack.py process <submissions/comments> <ZST folder> <Output Prefix>` to process submissions and comments respectively. |
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- This unpacks submissions and comments into jsonl files. Expanding them to ~8TiB uncompressed. So be sure to have plenty of storage or some sort of disk compression. |
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## Filtering Subreddits (RedditSubredditIndex.py) |
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We don't want really empty subreddits so we prune subreddits by subscriber count first. |
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2. Run `python RedditSubredditIndex.py preindex <Submissions Output Folder>` |
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- This is a very simple counter to get the subscriber counts for each subreddit for each month. |
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- This additionally creates a folder called `IndexSubReddit` as a scratch folder for indexing subreddits. |
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3. Run `python RedditSubredditIndex.py combine` |
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- Combines the multiple jsonl files created into a seperate process into 1 massive file. |
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- Deduplication via subreddit name matching. |
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- Fixes some weird inconsistencies in pushshift dumps. |
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- Get's the highest subscriber count seen. Ignores a decrease in subscriber counts. |
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- Could be suspectable to sub manipulation, but you need a lot of user accounts to spam for it. |
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4. (Optional) `python RedditSubredditIndex.py percentile` to get a printout of percentiles: [95th, 90th, 75th, 50th, 25th, 10th, 5th]. |
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- Not required step but a good way to see which subscriber counts is best suited for your usecase. |
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5. `python RedditSubredditIndex.py selection <Minimum Subscribers>` to create `sub_selects.jsonl`. |
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- Writes a file called `sub_selects.jsonl` containing a jsonl list of selected subreddits. |
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6. `python RedditSubredditIndex.py filter-folder <Comment/Submission Folder> <Output Folder> <"Submission"/"Comments" (Mode)>` |
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- This is the folder known internally as subreddits_M700 / M700 Folder. |
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- Point the `<Output Folder>` to the same folder. |
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- This will raise an exception when a wrong folder is selected (Comments when the Mode is not selected as Comments, etc.) |
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- Don't open the output folder in vscode since vscode will just die trying to see all the jsonl files. |
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# Roughly Filtering (RedditSubredditIndex.py) |
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Even after filtering by subreddit count, we are still left with subreddits which are mostly "Empty" or with a lot of spam. |
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7. `RedditScoring.py compute-scores <M700 Folder>` computes the some statistics for both submissions: |
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- QScores such as Engagement, Richness and Diversity |
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- Unique Submission/Comment Authors and submission/comment counts |
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8. Run `RedditScoring.py merge-stats <M700 Folder> <Merged Stats Jsonl>` |
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- Merge jsonl files into 1 bigger consolidated stats file. |
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9. `RedditScoring.py makefilter StatsM700.jsonl <Selection-OUTPUT> --mode <text/media>` |
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# Rewrite and Merge submissions, comments into conversations (RedditThreader.py) |
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10. Run `RedditThreader.py folder subreddits_M700 <OUTPUT_FOLDER> <Selection-OUTPUT>` |
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- Rethreads submissions and comments into threads |
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- Thread & a bit of additional subreddit filtering is applied. |
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# Uploading to HF |
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11. Run `RedditChunking.py` |
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- Very quick script to chunk all subreddits into jsonl chunks of 10GiB each for upload |
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12. Upload Chunks |
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- Uploaded the files. |