annotations_creators:
- expert-generated
- found
language_creators:
- found
languages:
- en
- yo
licenses:
- cc-by-4-0
multilinguality:
- translation
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- conditional-text-generation
task_ids:
- machine-translation
paperswithcode_id: null
Dataset Card for MENYO-20k
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: Homepage for Menyo-20k
- Repository:Github Repo
- Paper:
- Leaderboard:
- Point of Contact:
Dataset Summary
MENYO-20k is a multi-domain parallel dataset with texts obtained from news articles, ted talks, movie transcripts, radio transcripts, science and technology texts, and other short articles curated from the web and professional translators. The dataset has 20,100 parallel sentences split into 10,070 training sentences, 3,397 development sentences, and 6,633 test sentences (3,419 multi-domain, 1,714 news domain, and 1,500 ted talks speech transcript domain)
Supported Tasks and Leaderboards
[More Information Needed]
Languages
Languages are English and YOruba
Dataset Structure
Data Instances
The data consists of tab seperated entries
{'translation':
{'en': 'Unit 1: What is Creative Commons?',
'yo': 'Ìdá 1: Kín ni Creative Commons?'
}
}
Data Fields
en
: English sentenceyo
: Yoruba sentence
Data Splits
Only training dataset available
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
The dataset is open but for non-commercial use because some of the data sources like Ted talks and JW news requires permission for commercial use.
Citation Information
@dataset{david_ifeoluwa_adelani_2020_4297448,
author = {David Ifeoluwa Adelani and
Jesujoba O. Alabi and
Damilola Adebonojo and
Adesina Ayeni and
Mofe Adeyemi and
Ayodele Awokoya},
title = {{MENYO-20k: A Multi-domain English - Yorùbá Corpus
for Machine Translation}},
month = nov,
year = 2020,
publisher = {Zenodo},
version = {1.0},
doi = {10.5281/zenodo.4297448},
url = {https://doi.org/10.5281/zenodo.4297448}
}
Contributions
Thanks to @yvonnegitau for adding this dataset.