README.md

metadata

annotations_creators:
  - machine-generated
language:
  - en
  - de
language_creators:
  - crowdsourced
license:
  - apache-2.0
multilinguality:
  - multilingual
pretty_name: tweetyface_en
size_categories:
  - 10K<n<100K
source_datasets: []
tags: []
task_categories:
  - text-generation
task_ids: []

Dataset Card for "tweetyface"

Table of Contents

• 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:
• Repository: GitHub

Dataset Summary

Dataset containing Tweets from prominent Twitter Users. The dataset has been created utilizing a crawler for the Twitter API.

Supported Tasks and Leaderboards

[More Information Needed]

Languages

English, German

Dataset Structure

Data Instances

english

• Size of downloaded dataset files: 4.77 MB
• Size of the generated dataset: 5.92 MB
• Total amount of disk used: 4.77 MB

german

• Size of downloaded dataset files: 2.58 MB
• Size of the generated dataset: 3.10 MB
• Total amount of disk used: 2.59 MB

An example of 'validation' looks as follows.

{
  "text": "@SpaceX @Space_Station About twice as much useful mass to orbit as rest of Earth combined",
  "label": elonmusk,
  "idx": 1001283
}

Data Fields

The data fields are the same among all splits and languages.

• text: a string feature.
• label: a classification label
• idx: an int64 feature.

Data Splits

name	train	validation
english	27857	6965
german	10254	2564

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

[More Information Needed]

Citation Information

[More Information Needed]