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textonly-subreddit-predictors

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jbduran commited on
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Add all years

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  1. README.md +30 -0
  2. data/LocalLLaMA/2025/06.parquet +3 -0
  3. data/artificial/2008/07.parquet +3 -0
  4. data/artificial/2008/10.parquet +3 -0
  5. data/artificial/2008/11.parquet +3 -0
  6. data/artificial/2009/03.parquet +3 -0
  7. data/artificial/2009/05.parquet +3 -0
  8. data/artificial/2009/06.parquet +3 -0
  9. data/artificial/2009/08.parquet +3 -0
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  11. data/artificial/2009/10.parquet +3 -0
  12. data/artificial/2009/11.parquet +3 -0
  13. data/artificial/2009/12.parquet +3 -0
  14. data/artificial/2010/01.parquet +3 -0
  15. data/artificial/2010/02.parquet +3 -0
  16. data/artificial/2010/03.parquet +3 -0
  17. data/artificial/2010/04.parquet +3 -0
  18. data/artificial/2010/05.parquet +3 -0
  19. data/artificial/2010/06.parquet +3 -0
  20. data/artificial/2010/07.parquet +3 -0
  21. data/artificial/2010/08.parquet +3 -0
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  23. data/artificial/2010/10.parquet +3 -0
  24. data/artificial/2010/11.parquet +3 -0
  25. data/artificial/2011/01.parquet +3 -0
  26. data/artificial/2011/02.parquet +3 -0
  27. data/artificial/2011/03.parquet +3 -0
  28. data/artificial/2011/04.parquet +3 -0
  29. data/artificial/2011/05.parquet +3 -0
  30. data/artificial/2011/07.parquet +3 -0
  31. data/artificial/2011/08.parquet +3 -0
  32. data/artificial/2011/09.parquet +3 -0
  33. data/artificial/2011/10.parquet +3 -0
  34. data/artificial/2011/11.parquet +3 -0
  35. data/artificial/2011/12.parquet +3 -0
  36. data/artificial/2012/01.parquet +3 -0
  37. data/artificial/2012/02.parquet +3 -0
  38. data/artificial/2012/03.parquet +3 -0
  39. data/artificial/2012/04.parquet +3 -0
  40. data/artificial/2012/05.parquet +3 -0
  41. data/artificial/2012/06.parquet +3 -0
  42. data/artificial/2012/07.parquet +3 -0
  43. data/artificial/2012/08.parquet +3 -0
  44. data/artificial/2012/09.parquet +3 -0
  45. data/artificial/2012/10.parquet +3 -0
  46. data/artificial/2012/11.parquet +3 -0
  47. data/artificial/2012/12.parquet +3 -0
  48. data/artificial/2013/01.parquet +3 -0
  49. data/artificial/2013/02.parquet +3 -0
  50. data/artificial/2013/03.parquet +3 -0
README.md ADDED
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+ ---
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+ configs:
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+ - config_name: all
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+ default: true
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+ data_files: data/*/*/*.parquet
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+ - config_name: wallstreetbets
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+ data_files: data/wallstreetbets/*/*.parquet
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+ - config_name: singularity
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+ data_files: data/singularity/*/*.parquet
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+ - config_name: artificial
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+ data_files: data/artificial/*/*.parquet
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+ - config_name: LocalLLaMA
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+ data_files: data/LocalLLaMA/*/*.parquet
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+ ---
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+
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+ # Text-only subreddit submissions
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+
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+ All submissions from 4 subreddits, extracted from the Arctic Shift Reddit dumps
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+ in [`open-index/arctic`](https://huggingface.co/datasets/open-index/arctic). Used for the CSC422 project
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+ "Predicting Social Media Post Success".
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+
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+ Subreddits: wallstreetbets, singularity, artificial, LocalLLaMA.
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+
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+ Layout: `data/<subreddit>/<YYYY>/<MM>.parquet`, rows sorted by `created_utc`. Columns are unchanged from the
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+ source. NSFW posts (`over_18`) and deleted/removed posts are excluded: author `[deleted]`, selftext `[deleted]` or
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+ `[removed]`, title `[deleted by user]` or `[ Removed by moderator ]`, or a moderator flair that marks the post
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+ removed ("Removed", "Rule 2 – Removed", "User Deleted", "Spam"). `score` and `num_comments` are the
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+ values at archival time.
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+
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+ The source has no submissions for 2022-09 through 2023-11, so this dataset has the same gap.
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