Languages: en yo
Multilinguality: translation
Size Categories: 10K<n<100K
Licenses: cc-by-4.0
Language Creators: found
Annotations Creators: expert-generated found
Source Datasets: original

Dataset Card for MENYO-20k

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 are English and YOruba

Dataset Structure

Data Instances

The data consists of tab seperated entries

  {'en': 'Unit 1: What is Creative Commons?',
  'yo': 'Ìdá 1: Kín ni Creative Commons?'

Data Fields

  • en: English sentence
  • yo: 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]


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

  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          = {}


Thanks to @yvonnegitau for adding this dataset.

Models trained or fine-tuned on menyo20k_mt

None yet