Update README.md

README.md

@@ -44,6 +44,9 @@ dataset_info:
   - name: total_awards_received
     dtype: string
   splits:
+  - name: programming
+    num_bytes: 3466623746
+    num_examples: 7503347
   - name: tifu
     num_bytes: 4761338653
     num_examples: 12738669
@@ -188,12 +191,69 @@ dataset_info:
   - name: gardening
     num_bytes: 1825313940
     num_examples: 4568468
-  - name: programming
-    num_bytes: 3466623746
-    num_examples: 7503347
   download_size: 105790281180
   dataset_size: 246259893952
+annotations_creators:
+- no-annotation
+language:
+- en
+language_creators:
+- machine-generated
+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
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+Thanks to [@clefourrier](https://github.com/clefourrier) for adding this dataset.