README.md

metadata

annotations_creators:
  - expert-generated
language_creators:
  - found
language:
  - yo
license:
  - unknown
multilinguality:
  - monolingual
size_categories:
  - 1K<n<10K
source_datasets:
  - original
tags:
  - movie reviews
  - nollywood
task_categories:
  - text-classification
task_ids:
  - sentiment-analysis

Dataset Card for YOSM

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: Iyanuoluwa/YOSM
• Paper: A new Yorùbá Sentiment Corpus for Nigerian/Nollywood Movie Reviews
• Point of Contact: Iyanuoluwa Shode

Dataset Summary

YOSM is the first Yorùbá sentiment corpus for Nollywood movie reviews. The reviews were collected from movie reviews websites - IMDB, Rotten Tomatoes, LetterboxD, Cinemapointer, and Nollyrated.

Languages

Yorùbá (ISO 639-1: yo) - the third most spoken indigenous African language with over 50 million speakers.

Dataset Structure

Data Instances

An instance consists of a movie review and the corresponding class label.

Data Fields

• yo_review: A movie review in Yorùbá
• sentiment: The label describing the sentiment of the movie review.

Data Splits

The YOSM dataset has 3 splits: train, dev, and test. Below are the statistics for Version 3.0.0 of the dataset.

Dataset Split	Number of Instances in Split
Train	800
Development	200
Test	500

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