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Datasets:
HuggingFaceGECLM
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REDDIT_submissions

Tasks:
Text Generation
Modalities:
Text
Formats:
parquet
Sub-tasks:
dialogue-modeling
language-modeling
Languages:
English
Size:
10M - 100M
ArXiv:
Tags:
reddit
social-media
Libraries:
Datasets
Dask
Dataset card Viewer Files Community
REDDIT_submissions / README.md
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---
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
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- name: edited
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- 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
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- name: media
dtype: string
- name: media_embed
dtype: string
- name: media_only
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- name: name
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- name: no_follow
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- name: num_comments
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- name: num_crossposts
dtype: string
- name: over_18
dtype: string
- name: parent_whitelist_status
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- name: permalink
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- name: pinned
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- 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
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- name: score
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- name: secure_media
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- name: secure_media_embed
dtype: string
- name: selftext
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- 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
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- name: title
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- name: top_awarded_type
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- name: total_awards_received
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- name: treatment_tags
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- name: upvote_ratio
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- name: url
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- name: url_overridden_by_dest
dtype: string
- name: view_count
dtype: string
- name: whitelist_status
dtype: string
- name: wls
dtype: string
splits:
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num_examples: 526283
- name: explainlikeimfive
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- name: WritingPrompts
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- name: changemyview
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- name: LifeProTips
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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.