Datasets:

Languages:
English
Multilinguality:
monolingual
Size Categories:
100K<n<1M
Language Creators:
crowdsourced
Annotations Creators:
lexyr
Source Datasets:
original
Tags:
License:
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- ---
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- license: cc-by-4.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ annotations_creators:
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+ - lexyr
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+ language_creators:
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+ - crowdsourced
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+ languages:
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+ - en
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+ licenses:
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+ - cc-by-4.0
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+ multilinguality:
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+ - monolingual
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+ size_categories:
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+ - 100K<n<1M
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+ source_datasets:
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+ - original
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+ paperswithcode_id: null
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+ ---
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+
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+ # Dataset Card for top-american-universities-on-reddit
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+
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+ ## Table of Contents
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+ - [Dataset Description](#dataset-description)
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+ - [Dataset Summary](#dataset-summary)
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+ - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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+ - [Languages](#languages)
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+ - [Dataset Structure](#dataset-structure)
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+ - [Data Instances](#data-instances)
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+ - [Data Fields](#data-fields)
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+ - [Data Splits](#data-splits)
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+ - [Dataset Creation](#dataset-creation)
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+ - [Curation Rationale](#curation-rationale)
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+ - [Source Data](#source-data)
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+ - [Annotations](#annotations)
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+ - [Personal and Sensitive Information](#personal-and-sensitive-information)
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+ - [Considerations for Using the Data](#considerations-for-using-the-data)
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+ - [Social Impact of Dataset](#social-impact-of-dataset)
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+ - [Discussion of Biases](#discussion-of-biases)
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+ - [Other Known Limitations](#other-known-limitations)
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+ - [Additional Information](#additional-information)
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+ - [Dataset Curators](#dataset-curators)
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+ - [Licensing Information](#licensing-information)
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+ - [Citation Information](#citation-information)
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+ - [Contributions](#contributions)
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+
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+ ## Dataset Description
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+
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+ - **Homepage:** [https://socialgrep.com/datasets](https://socialgrep.com/datasets/top-american-universities-on-reddit?utm_source=huggingface&utm_medium=link&utm_campaign=topamericanuniversitiesonreddit)
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+ - **Point of Contact:** [Website](https://socialgrep.com/contact?utm_source=huggingface&utm_medium=link&utm_campaign=topamericanuniversitiesonreddit)
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+
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+ ### Dataset Summary
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+
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+ This corpus contains the complete data for the activity of the subreddits of the top 10 US colleges, according to the [2019 Forbes listing](https://www.forbes.com/top-colleges/#1208425d1987).
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+
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+
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+ ### Languages
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+
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+ Mainly English.
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+
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+ ## Dataset Structure
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+
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+ ### Data Instances
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+
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+ A data point is a post or a comment. Due to the separate nature of the two, those exist in two different files - even though many fields are shared.
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+
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+ ### Data Fields
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+
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+ - 'type': the type of the data point. Can be 'post' or 'comment'.
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+ - 'id': the base-36 Reddit ID of the data point. Unique when combined with type.
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+ - 'subreddit.id': the base-36 Reddit ID of the data point's host subreddit. Unique.
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+ - 'subreddit.name': the human-readable name of the data point's host subreddit.
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+ - 'subreddit.nsfw': a boolean marking the data point's host subreddit as NSFW or not.
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+ - 'created_utc': a UTC timestamp for the data point.
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+ - 'permalink': a reference link to the data point on Reddit.
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+ - 'score': score of the data point on Reddit.
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+
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+ - 'domain': (Post only) the domain of the data point's link.
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+ - 'url': (Post only) the destination of the data point's link, if any.
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+ - 'selftext': (Post only) the self-text of the data point, if any.
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+ - 'title': (Post only) the title of the post data point.
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+
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+ - 'body': (Comment only) the body of the comment data point.
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+ - 'sentiment': (Comment only) the result of an in-house sentiment analysis pipeline. Used for exploratory analysis.
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+
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+ ## Dataset Creation
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+
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+ ### Curation Rationale
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+
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+ [Needs More Information]
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+
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+ ### Source Data
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+
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+ #### Initial Data Collection and Normalization
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+
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+ [Needs More Information]
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+
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+ #### Who are the source language producers?
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+
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+ [Needs More Information]
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+
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+ ### Annotations
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+
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+ #### Annotation process
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+
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+ [Needs More Information]
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+
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+ #### Who are the annotators?
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+
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+ [Needs More Information]
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+
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+ ### Personal and Sensitive Information
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+
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+ [Needs More Information]
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+
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+ ## Considerations for Using the Data
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+
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+ ### Social Impact of Dataset
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+
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+ [Needs More Information]
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+
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+ ### Discussion of Biases
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+
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+ [Needs More Information]
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+
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+ ### Other Known Limitations
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+
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+ [Needs More Information]
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+
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+ ## Additional Information
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+
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+ ### Dataset Curators
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+
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+ [Needs More Information]
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+
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+ ### Licensing Information
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+ CC-BY v4.0
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+
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+ ### Contributions
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+
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+ [Needs More Information]