Datasets:
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 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 for adding this dataset.