YOSM / README.md
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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

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