|
--- |
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dataset_info: |
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features: |
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- name: archived |
|
dtype: string |
|
- name: author |
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dtype: string |
|
- name: author_fullname |
|
dtype: string |
|
- name: body |
|
dtype: string |
|
- name: comment_type |
|
dtype: string |
|
- name: controversiality |
|
dtype: string |
|
- name: created_utc |
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dtype: string |
|
- name: edited |
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dtype: string |
|
- name: gilded |
|
dtype: string |
|
- name: id |
|
dtype: string |
|
- name: link_id |
|
dtype: string |
|
- name: locked |
|
dtype: string |
|
- name: name |
|
dtype: string |
|
- name: parent_id |
|
dtype: string |
|
- name: permalink |
|
dtype: string |
|
- name: retrieved_on |
|
dtype: string |
|
- name: score |
|
dtype: string |
|
- name: subreddit_id |
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dtype: string |
|
- name: subreddit_name_prefixed |
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dtype: string |
|
- name: subreddit_type |
|
dtype: string |
|
- name: total_awards_received |
|
dtype: string |
|
splits: |
|
- name: programming |
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num_bytes: 3466623746 |
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num_examples: 7503347 |
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- name: tifu |
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num_bytes: 4761338653 |
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num_examples: 12738669 |
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- name: explainlikeimfive |
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num_bytes: 8451732573 |
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num_examples: 16392814 |
|
- name: WritingPrompts |
|
num_bytes: 4651591771 |
|
num_examples: 4436210 |
|
- name: changemyview |
|
num_bytes: 8603031915 |
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num_examples: 11600073 |
|
- name: LifeProTips |
|
num_bytes: 5272994396 |
|
num_examples: 12829459 |
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- name: todayilearned |
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num_bytes: 22655655241 |
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num_examples: 60199778 |
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- name: science |
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num_bytes: 7069809765 |
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num_examples: 18112884 |
|
- name: askscience |
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num_bytes: 3144754665 |
|
num_examples: 6286702 |
|
- name: ifyoulikeblank |
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num_bytes: 547200329 |
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num_examples: 1332211 |
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- name: Foodforthought |
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num_bytes: 308377128 |
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num_examples: 567900 |
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- name: IWantToLearn |
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num_bytes: 408331672 |
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num_examples: 745543 |
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- name: bestof |
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num_bytes: 2003718831 |
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num_examples: 4347522 |
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- name: IAmA |
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num_bytes: 9380094090 |
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num_examples: 25778822 |
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- name: socialskills |
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num_bytes: 1000014402 |
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num_examples: 1842733 |
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- name: relationship_advice |
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num_bytes: 22298879735 |
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num_examples: 38937398 |
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- name: philosophy |
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num_bytes: 1494947876 |
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num_examples: 2391695 |
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- name: YouShouldKnow |
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num_bytes: 1165617658 |
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num_examples: 2639265 |
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- name: history |
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num_bytes: 1457852402 |
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num_examples: 2962043 |
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- name: books |
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num_bytes: 4562689426 |
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num_examples: 10187495 |
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- name: Showerthoughts |
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num_bytes: 13259109532 |
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num_examples: 34123213 |
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- name: personalfinance |
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num_bytes: 9484869588 |
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num_examples: 18361314 |
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- name: buildapc |
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num_bytes: 9801044390 |
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num_examples: 21761801 |
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- name: EatCheapAndHealthy |
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num_bytes: 853462012 |
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num_examples: 1821897 |
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- name: boardgames |
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num_bytes: 3131627378 |
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num_examples: 6328926 |
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- name: malefashionadvice |
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num_bytes: 2928017882 |
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num_examples: 7712258 |
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- name: femalefashionadvice |
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num_bytes: 1619784736 |
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num_examples: 3262969 |
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- name: scifi |
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num_bytes: 888152056 |
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num_examples: 2193741 |
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- name: Fantasy |
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num_bytes: 2285934538 |
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num_examples: 4566639 |
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- name: Games |
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num_bytes: 10396813188 |
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num_examples: 23373965 |
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- name: bodyweightfitness |
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num_bytes: 794549854 |
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num_examples: 1613634 |
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- name: SkincareAddiction |
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num_bytes: 3421122597 |
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num_examples: 5660550 |
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- name: podcasts |
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num_bytes: 464773126 |
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num_examples: 943266 |
|
- name: suggestmeabook |
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num_bytes: 1842944304 |
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num_examples: 3492937 |
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- name: AskHistorians |
|
num_bytes: 2244587909 |
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num_examples: 2714353 |
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- name: gaming |
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num_bytes: 28374513722 |
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num_examples: 85729253 |
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- name: DIY |
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num_bytes: 2113533684 |
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num_examples: 4489265 |
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- name: sports |
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num_bytes: 2230129132 |
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num_examples: 6470079 |
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- name: space |
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num_bytes: 3081499208 |
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num_examples: 7896182 |
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- name: gadgets |
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num_bytes: 1683252868 |
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num_examples: 4104833 |
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- name: Documentaries |
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num_bytes: 1852644771 |
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num_examples: 4051474 |
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- name: GetMotivated |
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num_bytes: 1211761267 |
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num_examples: 3221980 |
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- name: UpliftingNews |
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num_bytes: 2003149025 |
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num_examples: 4741948 |
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- name: technology |
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num_bytes: 10826871436 |
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num_examples: 25404699 |
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- name: Fitness |
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num_bytes: 6191132755 |
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num_examples: 14319856 |
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- name: travel |
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num_bytes: 1740556350 |
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num_examples: 3806755 |
|
- name: lifehacks |
|
num_bytes: 626791812 |
|
num_examples: 1799437 |
|
- name: Damnthatsinteresting |
|
num_bytes: 6376694618 |
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num_examples: 15643554 |
|
- name: gardening |
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num_bytes: 1825313940 |
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num_examples: 4568468 |
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- name: mildlyinteresting |
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num_bytes: 9079894206 |
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num_examples: 26436769 |
|
download_size: 109177016105 |
|
dataset_size: 255339788158 |
|
annotations_creators: |
|
- no-annotation |
|
language: |
|
- en |
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language_creators: |
|
- found |
|
license: [] |
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multilinguality: |
|
- monolingual |
|
pretty_name: Reddit comments |
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size_categories: |
|
- 10B<n<100B |
|
source_datasets: [] |
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tags: |
|
- reddit |
|
- social-media |
|
task_categories: |
|
- text-generation |
|
task_ids: |
|
- dialogue-modeling |
|
- language-modeling |
|
--- |
|
|
|
# Dataset Card for "REDDIT_comments" |
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## Dataset Description |
|
|
|
- **Homepage:** |
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- **Paper: https://arxiv.org/abs/2001.08435** |
|
|
|
### Dataset Summary |
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Comments of 50 high-quality subreddits, extracted from the REDDIT PushShift data dumps (from 2006 to Jan 2023). |
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|
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### Supported Tasks |
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These comments can be used for text generation and language modeling, as well as dialogue modeling. |
|
|
|
## Dataset Structure |
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### Data Splits |
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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 |
|
|
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### Curation Rationale |
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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: "archived", "author", "author_fullname", "body", "comment_type", "controversiality", "created_utc", "edited", "gilded", "id", "link_id", "locked", "name", "parent_id", "permalink", "retrieved_on", "score", "subreddit", "subreddit_id", "subreddit_name_prefixed", "subreddit_type", "total_awards_received". |
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|
|
### 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. |
|
|
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#### Initial Data Collection and Normalization |
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See the paper. |
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|
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#### Who are the source language producers? |
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Redditors are mostly young (65% below 30), male (70%), and American (50% of the site). |
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|
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### Personal and Sensitive Information |
|
The data contains Redditor's usernames associated to their content. |
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|
|
## Considerations for Using the Data |
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|
|
This dataset should be anonymized before any processing. |
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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. |
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|
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### Contributions |
|
|
|
Thanks to [@clefourrier](https://github.com/clefourrier) for adding this dataset. |
