--- dataset_info: features: - name: allow_live_comments dtype: string - name: archived dtype: string - name: author dtype: string - name: author_fullname dtype: string - name: banned_by dtype: string - name: category dtype: string - name: content_categories dtype: string - name: contest_mode dtype: string - name: created_utc dtype: string - name: discussion_type dtype: string - name: distinguished dtype: string - name: domain dtype: string - name: edited dtype: string - name: gilded dtype: string - name: hidden dtype: string - name: hide_score dtype: string - name: id dtype: string - name: is_created_from_ads_ui dtype: string - name: is_crosspostable dtype: string - name: is_meta dtype: string - name: is_original_content dtype: string - name: is_reddit_media_domain dtype: string - name: is_robot_indexable dtype: string - name: is_self dtype: string - name: is_video dtype: string - name: locked dtype: string - name: media dtype: string - name: media_embed dtype: string - name: media_only dtype: string - name: name dtype: string - name: no_follow dtype: string - name: num_comments dtype: string - name: num_crossposts dtype: string - name: over_18 dtype: string - name: parent_whitelist_status dtype: string - name: permalink dtype: string - name: pinned dtype: string - name: post_hint dtype: string - name: pwls dtype: string - name: quarantine dtype: string - name: removed_by dtype: string - name: removed_by_category dtype: string - name: retrieved_on dtype: string - name: score dtype: string - name: secure_media dtype: string - name: secure_media_embed dtype: string - name: selftext dtype: string - name: send_replies dtype: string - name: spoiler dtype: string - name: stickied dtype: string - name: subreddit_id dtype: string - name: subreddit_name_prefixed dtype: string - name: subreddit_subscribers dtype: string - name: subreddit_type dtype: string - name: suggested_sort dtype: string - name: title dtype: string - name: top_awarded_type dtype: string - name: total_awards_received dtype: string - name: treatment_tags dtype: string - name: upvote_ratio dtype: string - name: url dtype: string - name: url_overridden_by_dest dtype: string - name: view_count dtype: string - name: whitelist_status dtype: string - name: wls dtype: string splits: - name: tifu num_bytes: 711926746 num_examples: 526283 - name: explainlikeimfive num_bytes: 1407570925 num_examples: 1811324 - name: WritingPrompts num_bytes: 883683696 num_examples: 1001358 - name: changemyview num_bytes: 366049867 num_examples: 257332 - name: LifeProTips num_bytes: 596724168 num_examples: 715494 - name: todayilearned num_bytes: 1882122179 num_examples: 2153849 - name: science num_bytes: 675817380 num_examples: 872768 - name: askscience num_bytes: 1180347707 num_examples: 1562708 - name: ifyoulikeblank num_bytes: 248876237 num_examples: 221368 - name: Foodforthought num_bytes: 56817554 num_examples: 70647 - name: IWantToLearn num_bytes: 97666128 num_examples: 103347 - name: bestof num_bytes: 230879506 num_examples: 341029 - name: IAmA num_bytes: 375534116 num_examples: 436003 - name: socialskills num_bytes: 327412682 num_examples: 260354 - name: relationship_advice num_bytes: 5050087947 num_examples: 3284961 - name: philosophy num_bytes: 230221165 num_examples: 212792 - name: YouShouldKnow num_bytes: 87706881 num_examples: 94635 - name: history num_bytes: 295389153 num_examples: 284318 - name: books num_bytes: 635450859 num_examples: 692807 - name: Showerthoughts num_bytes: 4859309870 num_examples: 6358205 - name: personalfinance num_bytes: 1813984142 num_examples: 1347837 - name: buildapc num_bytes: 4754190700 num_examples: 3030207 - name: EatCheapAndHealthy num_bytes: 95544413 num_examples: 79694 - name: boardgames num_bytes: 379980593 num_examples: 287493 - name: malefashionadvice num_bytes: 523741819 num_examples: 548587 - name: femalefashionadvice num_bytes: 131338068 num_examples: 131110 - name: scifi num_bytes: 148283250 num_examples: 134568 - name: Fantasy num_bytes: 265612464 num_examples: 175866 - name: Games num_bytes: 1112497898 num_examples: 830997 - name: bodyweightfitness num_bytes: 154845910 num_examples: 144829 - name: SkincareAddiction num_bytes: 908265410 num_examples: 890421 - name: podcasts num_bytes: 114495922 num_examples: 113707 - name: suggestmeabook num_bytes: 307022597 num_examples: 300601 - name: AskHistorians num_bytes: 586939915 num_examples: 592242 - name: gaming num_bytes: 7306865977 num_examples: 6418305 - name: DIY num_bytes: 612049815 num_examples: 505769 - name: mildlyinteresting num_bytes: 1497282377 num_examples: 1971187 - name: sports num_bytes: 866461524 num_examples: 783890 - name: space num_bytes: 413125181 num_examples: 415629 - name: gadgets num_bytes: 242359652 num_examples: 284487 - name: Documentaries num_bytes: 658519015 num_examples: 300935 - name: GetMotivated num_bytes: 458864553 num_examples: 395894 - name: UpliftingNews num_bytes: 294091853 num_examples: 285339 - name: technology num_bytes: 1562501874 num_examples: 2112572 - name: Fitness num_bytes: 939461866 num_examples: 1035109 - name: travel num_bytes: 988622317 num_examples: 1012452 - name: lifehacks num_bytes: 124628404 num_examples: 116871 - name: Damnthatsinteresting num_bytes: 536680874 num_examples: 397143 - name: gardening num_bytes: 652169745 num_examples: 723267 - name: programming num_bytes: 455470198 num_examples: 571221 download_size: 15928530968 dataset_size: 49105493092 annotations_creators: - no-annotation language: - en language_creators: - machine-generated license: [] multilinguality: - monolingual pretty_name: Reddit submissions size_categories: - 1B<n<10B source_datasets: [] tags: - reddit - social-media task_categories: - text-generation task_ids: - dialogue-modeling - language-modeling --- # Dataset Card for "REDDIT_submissions" ## Dataset Description - **Homepage:** - **Paper: https://arxiv.org/abs/2001.08435** ### Dataset Summary Submissions of 50 high-quality subreddits, extracted from the REDDIT PushShift data dumps (from 2006 to Jan 2023). ### Supported Tasks These submissions can be used for text generation and language modeling, as well as dialogue modeling. ## Dataset Structure ### Data Splits Each split corresponds to a specific subreddit in the following list: "tifu", "explainlikeimfive", "WritingPrompts", "changemyview", "LifeProTips", "todayilearned", "science", "askscience", "ifyoulikeblank", "Foodforthought", "IWantToLearn", "bestof", "IAmA", "socialskills", "relationship_advice", "philosophy", "YouShouldKnow", "history", "books", "Showerthoughts", "personalfinance", "buildapc", "EatCheapAndHealthy", "boardgames", "malefashionadvice", "femalefashionadvice", "scifi", "Fantasy", "Games", "bodyweightfitness", "SkincareAddiction", "podcasts", "suggestmeabook", "AskHistorians", "gaming", "DIY", "mildlyinteresting", "sports", "space", "gadgets", "Documentaries", "GetMotivated", "UpliftingNews", "technology", "Fitness", "travel", "lifehacks", "Damnthatsinteresting", "gardening", "programming" ## Dataset Creation ### Curation Rationale All the information fields have been cast to string, as their format change through time from one dump to the following. A reduced number of keys have been kept: "allow_live_comments", "archived", "author", "author_fullname", "banned_by", "category", "content_categories", "contest_mode", "created_utc", "discussion_type", "distinguished", "domain", "edited", "gilded", "hidden", "hide_score", "id", "is_created_from_ads_ui", "is_crosspostable", "is_meta", "is_original_content", "is_reddit_media_domain", "is_robot_indexable", "is_self", "is_video", "locked", "media", "media_embed", "media_only", "name", "no_follow", "num_comments", "num_crossposts", "over_18", "parent_whitelist_status", "permalink", "pinned", "post_hint", "pwls", "quarantine", "removed_by", "removed_by_category", "retrieved_on", "score", "secure_media", "secure_media_embed", "selftext", "send_replies", "spoiler", "stickied", "subreddit", "subreddit_id", "subreddit_name_prefixed", "subreddit_subscribers", "subreddit_type", "suggested_sort", "title", "top_awarded_type", "total_awards_received", "treatment_tags", "upvote_ratio", "url", "url_overridden_by_dest", "view_count", "whitelist_status", "wls". ### Source Data The [Reddit PushShift data dumps](https://files.pushshift.io/reddit/) are part of a data collection effort which crawls Reddit at regular intervals, to extract and keep all its data. #### Initial Data Collection and Normalization See the paper. #### Who are the source language producers? Redditors are mostly young (65% below 30), male (70%), and American (50% of the site). ### Personal and Sensitive Information The data contains Redditor's usernames associated to their content. ## Considerations for Using the Data This dataset should be anonymized before any processing. Though the subreddits selected are considered as being of higher quality, they can still reflect what you can find on the internet in terms of expressions of biases and toxicity. ### Contributions Thanks to [@clefourrier](https://github.com/clefourrier) for adding this dataset.