Datasets:
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
- vi
license:
- cc-by-nc-sa-4.0
multilinguality:
- translation
pretty_name: MTet
size_categories:
- 1M<n<10M
source_datasets:
- original
- extended|bible_para
- extended|kde4
- extended|opus_gnome
- extended|open_subtitles
- extended|tatoeba
task_categories:
- conditional-text-generation
task_ids:
- machine-translation
Dataset Card for MTet
Table of Contents
- Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: https://translate.vietai.org/
- Repository: https://github.com/vietai/mTet
- Paper:
- Leaderboard:
- Point of Contact:
Dataset Summary
MTet (Multi-domain Translation for English-Vietnamese) dataset contains roughly 4.2 million English-Vietnamese pairs of texts, ranging across multiple different domains such as medical publications, religious texts, engineering articles, literature, news, and poems.
This dataset extends our previous SAT (Style Augmented Translation) dataset (v1.0) by adding more high-quality English-Vietnamese sentence pairs on various domains.
Supported Tasks and Leaderboards
- Machine Translation
Languages
The languages in the dataset are:
- Vietnamese (
vi
) - English (
en
)
Dataset Structure
Data Instances
{
'translation': {
'en': 'He said that existing restrictions would henceforth be legally enforceable, and violators would be fined.',
'vi': 'Ông nói những biện pháp hạn chế hiện tại sẽ được nâng lên thành quy định pháp luật, và những ai vi phạm sẽ chịu phạt.'
}
}
Data Fields
translation
:en
: Parallel text in English.vi
: Parallel text in Vietnamese.
Data Splits
The dataset is in a single "train" split.
train | |
---|---|
Number of examples | 4163853 |
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
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).
Citation Information
@article{mTet2022,
author = {Chinh Ngo, Hieu Tran, Long Phan, Trieu H. Trinh, Hieu Nguyen, Minh Nguyen, Minh-Thang Luong},
title = {MTet: Multi-domain Translation for English and Vietnamese},
journal = {https://github.com/vietai/mTet},
year = {2022},
}
Contributions
Thanks to @albertvillanova for adding this dataset.