Datasets:
Tasks:
Text Classification
Sub-tasks:
sentiment-analysis
Languages:
Yoruba
Size:
1K<n<10K
ArXiv:
License:
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-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 | |