| --- |
| 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. |
