Reddit r/AskScience Flair Dataset

Some cleaning was done using NumPy and pandas. The dataset contains the following columns: 1. id - ID of the submission. 2. author - Redditor name. 3. author_fullname - Redditor's account identifier. 4. domain - Domain of the submission. 5. question - The question asked in the submission (post title). 6. link_flair_css_class - CSS class used to identify the flair. 7. link_flair_text - The flair's text content on the post. 8. description - Description (body text) of the submission. 9. contest_mode - Contest mode, which obscures scores and randomises sorting. 10. created_utc - Date and time the submission was created. 11. year - Year of the submission. 12. edited - Whether the post was edited (0 if not, otherwise the edit time). 13. retrieved_on - Date and time the submission was retrieved. 14. over_18 - Whether the submission is marked as NSFW. 15. is_self - Whether the submission is a self (text-only) post. 16. locked - Whether the submission has been locked. 17. num_comments - Number of comments on the submission. 18. score - Number of upvotes for the submission. 19. spoiler - Whether the submission is marked as a spoiler. 20. stickied - Whether the submission is stickied. 21. thumbnail - Thumbnail of the submission. 22. banned - Whether the post was removed by a moderator (Yes or No).

This dataset can be used for flair prediction, NSFW classification, and various text mining and NLP tasks. Exploratory data analysis can also be done to find insights and see trends and patterns over the years.