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README.md

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----
-annotations_creators:
-- lexyr
-language_creators:
-- crowdsourced
-language:
-- en
-license:
-- cc-by-4.0
-multilinguality:
-- monolingual
-size_categories:
-- 1M<n<10M
-source_datasets:
-- original
-paperswithcode_id: null
----
-
-# Dataset Card for one-million-reddit-jokes
-
-## Table of Contents
-- [Dataset Description](#dataset-description)
-  - [Dataset Summary](#dataset-summary)
-  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
-  - [Languages](#languages)
-- [Dataset Structure](#dataset-structure)
-  - [Data Instances](#data-instances)
-  - [Data Fields](#data-fields)
-  - [Data Splits](#data-splits)
-- [Dataset Creation](#dataset-creation)
-  - [Curation Rationale](#curation-rationale)
-  - [Source Data](#source-data)
-  - [Annotations](#annotations)
-  - [Personal and Sensitive Information](#personal-and-sensitive-information)
-- [Considerations for Using the Data](#considerations-for-using-the-data)
-  - [Social Impact of Dataset](#social-impact-of-dataset)
-  - [Discussion of Biases](#discussion-of-biases)
-  - [Other Known Limitations](#other-known-limitations)
-- [Additional Information](#additional-information)
-  - [Dataset Curators](#dataset-curators)
-  - [Licensing Information](#licensing-information)
-  - [Citation Information](#citation-information)
-  - [Contributions](#contributions)
-
-## Dataset Description
-
-- **Homepage:** [https://socialgrep.com/datasets](https://socialgrep.com/datasets?utm_source=huggingface&utm_medium=link&utm_campaign=onemillionjokes)
-- **Point of Contact:** [Website](https://socialgrep.com/contact?utm_source=huggingface&utm_medium=link&utm_campaign=onemillionjokes)
-
-### Dataset Summary
-
-This corpus contains a million posts from /r/jokes.
-
-Posts are annotated with their score.
-
-
-### Languages
-
-Mainly English.
-
-## Dataset Structure
-
-### Data Instances
-
-A data point is a Reddit post.
-
-### Data Fields
-
-- 'type': the type of the data point. Can be 'post' or 'comment'.
-- 'id': the base-36 Reddit ID of the data point. Unique when combined with type.
-- 'subreddit.id': the base-36 Reddit ID of the data point's host subreddit. Unique.
-- 'subreddit.name': the human-readable name of the data point's host subreddit.
-- 'subreddit.nsfw': a boolean marking the data point's host subreddit as NSFW or not.
-- 'created_utc': a UTC timestamp for the data point.
-- 'permalink': a reference link to the data point on Reddit.
-- 'score': score of the data point on Reddit.
-- 'domain': the domain of the data point's link.
-- 'url': the destination of the data point's link, if any.
-- 'selftext': the self-text of the data point, if any.
-- 'title': the title of the post data point.
-
-## Dataset Creation
-
-### Curation Rationale
-
-[Needs More Information]
-
-### Source Data
-
-#### Initial Data Collection and Normalization
-
-[Needs More Information]
-
-#### Who are the source language producers?
-
-[Needs More Information]
-
-### Annotations
-
-#### Annotation process
-
-[Needs More Information]
-
-#### Who are the annotators?
-
-[Needs More Information]
-
-### Personal and Sensitive Information
-
-[Needs More Information]
-
-## Considerations for Using the Data
-
-### Social Impact of Dataset
-
-[Needs More Information]
-
-### Discussion of Biases
-
-[Needs More Information]
-
-### Other Known Limitations
-
-[Needs More Information]
-
-## Additional Information
-
-### Dataset Curators
-
-[Needs More Information]
-
-### Licensing Information
-
-CC-BY v4.0
-
-### Contributions
-
-[Needs More Information]

one-million-reddit-jokes.csv → SocialGrep--one-million-reddit-jokes/csv-train.parquet

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