README.md

metadata

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-confessions

Table of Contents

• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • Contributions

Dataset Description

• Homepage: https://socialgrep.com/datasets
• Point of Contact: Website

Dataset Summary

This corpus contains a million posts from the following subreddits:

• /r/trueoffmychest
• /r/confession
• /r/confessions
• /r/offmychest

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]