README.md

metadata

annotations_creators:
  - expert-generated
language_creators:
  - found
languages:
  - yo
licenses:
  - unknown
multilinguality:
  - monolingual
size_categories:
  - 1K<n<10K
source_datasets:
  - original
task_categories:
  - text-classification
task_ids:
  - topic-classification

Dataset Card for Yoruba BBC News Topic Classification dataset (yoruba_bbc_topics)

Table of Contents

• Dataset Description
  • Dataset Summary
  • Supported Tasks
  • 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: https://github.com/uds-lsv/transfer-distant-transformer-african
• Paper: https://www.aclweb.org/anthology/2020.emnlp-main.204/
• Leaderboard: -
• Point of Contact: Michael A. Hedderich and David Adelani {mhedderich, didelani} (at) lsv.uni-saarland.de

Dataset Summary

A news headline topic classification dataset, similar to AG-news, for Yorùbá. The news headlines were collected from BBC Yoruba.

Supported Tasks and Leaderboards

[More Information Needed]

Languages

Yorùbá (ISO 639-1: yo)

Dataset Structure

Data Instances

An instance consists of a news title sentence and the corresponding topic label as well as publishing information (date and website id).

Data Fields

• news_title: A news title.
• label: The label describing the topic of the news title. Can be one of the following classes: africa, entertainment, health, nigeria, politics, sport or world.
• date: The publication date (in Yorùbá).
• bbc_url_id: The identifier of the article in the BBC URL.

Data Splits

[More Information Needed]

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]

Contributions

Thanks to @michael-aloys for adding this dataset.