README.md

metadata

license: cc-by-4.0
annotations_creators:
  - found
language:
  - en
language_creators:
  - found
multilinguality:
  - monolingual
pretty_name: FSTDT Quotes
size_categories:
  - 10K<n<100K
source_datasets:
  - original
task_categories:
  - text-classification
task_ids:
  - hate-speech-detection

Dataset Card for FSTDT Quotes

Dataset Description

• Homepage:
• Repository:
• Paper:
• Leaderboard:
• Point of Contact:

Dataset Summary

FSTDT Quotes is a snapshot of the Fundies Say the Darndest Things website taken on 2023/02/03 14:16. It is intended for hate and fringe speech detection and classification.

Supported Tasks and Leaderboards

[More Information Needed]

Languages

FSTDT Quotes is in English.

Dataset Structure

Data Instances

An example instance looks like this:

{
  "id": "G",
  "submitter": "anonymous",
  "timestamp": "2005-05-21 00:00:00+00:00",
  "name": "Jack777 ",
  "src_url": "http://www.theologyweb.com/forum/showpost.php?p=1034624&postcount=10",
  "tags": ["#fundie"],
  "quote": "As long as evolutionists deny their theory is a theory and point out ID or whatever is bunk, people like me will pester them til they drop."
}

Data Fields

• id: A string feature, the ID of the post on FSTDT.
• submitter: A string feature, the submitter of the post.
• timestamp: A string feature, the time of submission.
• name: A string feature, the (user)name of the person who is being quoted.
• src_url: A string feature, the source URL of the quote.
• tags: A sequence of string features, the tags the post has been tagged with.
• quote: A string feature, the quote itself.

Data Splits

• train: 56,448 instances
• validation: 7,111 instances
• test: 7,131 instances

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

The quotes are collected from all over the internet.

Annotations

Annotation process

[More Information Needed]

Who are the annotators?

The data is annotated by users on FSTDT.

Personal and Sensitive Information

The dataset contains the usernames of submitters as well as those quoted. However, this information is publicly available.

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

This dataset contains large amounts of hate speech as well as pseudoscience and quackery.

Other Known Limitations

Some quotes in the dataset are quoted from news articles depicting acts of hate, which could potentially cause misclassifications on models trained on this dataset.

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

[More Information Needed]

Citation Information

[More Information Needed]

Contributions

[More Information Needed]