# Dataset Card for YOSM

## Table of Contents
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
  - [Curation Rationale](#curation-rationale)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
  - [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
  - [Social Impact of Dataset](#social-impact-of-dataset)
  - [Discussion of Biases](#discussion-of-biases)
  - [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)
  - [Contributions](#contributions)

## Dataset Description

- **Homepage:**
- **Repository:** [Iyanuoluwa/YOSM](https://github.com/IyanuSh/YOSM)
- **Paper:** [A new Yorùbá Sentiment Corpus for Nigerian/Nollywood Movie Reviews](https://arxiv.org/pdf/2204.09711.pdf)
- **Point of Contact:** [Iyanuoluwa Shode](mailto:shodei1@montclair.edu)

### 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

task_categories:text-classification task_ids:sentiment-analysis annotations_creators:expert-generated language_creators:found multilinguality:monolingual size_categories:1K<n<10K source_datasets:original language:yo license:unknown movie reviews nollywood arxiv:2204.09711 region:us
{"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["yo"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["sentiment-analysis"], "tags": ["movie reviews", "nollywood"]}
TAGS
#task_categories-text-classification #task_ids-sentiment-analysis #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Yoruba #license-unknown #movie reviews #nollywood #arxiv-2204.09711 #region-us 

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.



### Data Splits


Dataset Creation
----------------


### Curation Rationale


### Source Data


#### Initial Data Collection and Normalization


#### Who are the source language producers?


### Annotations


#### Annotation process


#### Who are the annotators?


### 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


### Contributions



### 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. ### Data Splits


Dataset Creation
---------------- ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### 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 ### Contributions
TAGS
#task_categories-text-classification #task_ids-sentiment-analysis #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Yoruba #license-unknown #movie reviews #nollywood #arxiv-2204.09711 #region-us 
 ### 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. ### Data Splits


Dataset Creation
---------------- ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### 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 ### Contributions
passage: TAGS
#task_categories-text-classification #task_ids-sentiment-analysis #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Yoruba #license-unknown #movie reviews #nollywood #arxiv-2204.09711 #region-us 
### 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.### Data Splits


Dataset Creation
----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### 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### Contributions