| --- |
| dataset_info: |
| features: |
| - name: archived |
| dtype: string |
| - name: author |
| dtype: string |
| - name: author_fullname |
| dtype: string |
| - name: body |
| dtype: string |
| - name: comment_type |
| dtype: string |
| - name: controversiality |
| dtype: string |
| - name: created_utc |
| dtype: string |
| - name: edited |
| 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 |
| dtype: string |
| - name: subreddit_name_prefixed |
| dtype: string |
| - name: subreddit_type |
| dtype: string |
| - name: total_awards_received |
| dtype: string |
| splits: |
| - name: programming |
| num_bytes: 3466623746 |
| num_examples: 7503347 |
| - name: tifu |
| num_bytes: 4761338653 |
| num_examples: 12738669 |
| - name: explainlikeimfive |
| num_bytes: 8451732573 |
| num_examples: 16392814 |
| - name: WritingPrompts |
| num_bytes: 4651591771 |
| num_examples: 4436210 |
| - name: changemyview |
| num_bytes: 8603031915 |
| num_examples: 11600073 |
| - name: LifeProTips |
| num_bytes: 5272994396 |
| num_examples: 12829459 |
| - name: todayilearned |
| num_bytes: 22655655241 |
| num_examples: 60199778 |
| - name: science |
| num_bytes: 7069809765 |
| num_examples: 18112884 |
| - name: askscience |
| num_bytes: 3144754665 |
| num_examples: 6286702 |
| - name: ifyoulikeblank |
| num_bytes: 547200329 |
| num_examples: 1332211 |
| - name: Foodforthought |
| num_bytes: 308377128 |
| num_examples: 567900 |
| - name: IWantToLearn |
| num_bytes: 408331672 |
| num_examples: 745543 |
| - name: bestof |
| num_bytes: 2003718831 |
| num_examples: 4347522 |
| - name: IAmA |
| num_bytes: 9380094090 |
| num_examples: 25778822 |
| - name: socialskills |
| num_bytes: 1000014402 |
| num_examples: 1842733 |
| - name: relationship_advice |
| num_bytes: 22298879735 |
| num_examples: 38937398 |
| - name: philosophy |
| num_bytes: 1494947876 |
| num_examples: 2391695 |
| - name: YouShouldKnow |
| num_bytes: 1165617658 |
| num_examples: 2639265 |
| - name: history |
| num_bytes: 1457852402 |
| num_examples: 2962043 |
| - name: books |
| num_bytes: 4562689426 |
| num_examples: 10187495 |
| - name: Showerthoughts |
| num_bytes: 13259109532 |
| num_examples: 34123213 |
| - name: personalfinance |
| num_bytes: 9484869588 |
| num_examples: 18361314 |
| - name: buildapc |
| num_bytes: 9801044390 |
| num_examples: 21761801 |
| - name: EatCheapAndHealthy |
| num_bytes: 853462012 |
| num_examples: 1821897 |
| - name: boardgames |
| num_bytes: 3131627378 |
| num_examples: 6328926 |
| - name: malefashionadvice |
| num_bytes: 2928017882 |
| num_examples: 7712258 |
| - name: femalefashionadvice |
| num_bytes: 1619784736 |
| num_examples: 3262969 |
| - name: scifi |
| num_bytes: 888152056 |
| num_examples: 2193741 |
| - name: Fantasy |
| num_bytes: 2285934538 |
| num_examples: 4566639 |
| - name: Games |
| num_bytes: 10396813188 |
| num_examples: 23373965 |
| - name: bodyweightfitness |
| num_bytes: 794549854 |
| num_examples: 1613634 |
| - name: SkincareAddiction |
| num_bytes: 3421122597 |
| num_examples: 5660550 |
| - name: podcasts |
| num_bytes: 464773126 |
| num_examples: 943266 |
| - name: suggestmeabook |
| num_bytes: 1842944304 |
| num_examples: 3492937 |
| - name: AskHistorians |
| num_bytes: 2244587909 |
| num_examples: 2714353 |
| - name: gaming |
| num_bytes: 28374513722 |
| num_examples: 85729253 |
| - name: DIY |
| num_bytes: 2113533684 |
| num_examples: 4489265 |
| - name: sports |
| num_bytes: 2230129132 |
| num_examples: 6470079 |
| - name: space |
| num_bytes: 3081499208 |
| num_examples: 7896182 |
| - name: gadgets |
| num_bytes: 1683252868 |
| num_examples: 4104833 |
| - name: Documentaries |
| num_bytes: 1852644771 |
| num_examples: 4051474 |
| - name: GetMotivated |
| num_bytes: 1211761267 |
| num_examples: 3221980 |
| - name: UpliftingNews |
| num_bytes: 2003149025 |
| num_examples: 4741948 |
| - name: technology |
| num_bytes: 10826871436 |
| num_examples: 25404699 |
| - name: Fitness |
| num_bytes: 6191132755 |
| num_examples: 14319856 |
| - name: travel |
| num_bytes: 1740556350 |
| num_examples: 3806755 |
| - name: lifehacks |
| num_bytes: 626791812 |
| num_examples: 1799437 |
| - name: Damnthatsinteresting |
| num_bytes: 6376694618 |
| num_examples: 15643554 |
| - name: gardening |
| num_bytes: 1825313940 |
| num_examples: 4568468 |
| - name: mildlyinteresting |
| num_bytes: 9079894206 |
| num_examples: 26436769 |
| download_size: 109177016105 |
| dataset_size: 255339788158 |
| annotations_creators: |
| - no-annotation |
| language: |
| - en |
| language_creators: |
| - found |
| license: [] |
| multilinguality: |
| - monolingual |
| pretty_name: Reddit comments |
| size_categories: |
| - 10B<n<100B |
| source_datasets: [] |
| tags: |
| - reddit |
| - social-media |
| task_categories: |
| - text-generation |
| task_ids: |
| - dialogue-modeling |
| - language-modeling |
| --- |
| |
| # Dataset Card for "REDDIT_comments" |
| ## Dataset Description |
| |
| - **Homepage:** |
| - **Paper: https://arxiv.org/abs/2001.08435** |
| |
| ### Dataset Summary |
| Comments of 50 high-quality subreddits, extracted from the REDDIT PushShift data dumps (from 2006 to Jan 2023). |
| |
| ### Supported Tasks |
| These comments 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: "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". |
|
|
| ### 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. |
