| | --- |
| | 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](#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:** 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)](https://creativecommons.org/licenses/by-nc-sa/4.0/). |
| |
|
| | ### Citation Information |
| |
|
| | ```bibtex |
| | @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](https://huggingface.co/albertvillanova) for adding this dataset. |
| |
|
