README.md

metadata

annotations_creators:
  - found
language_creators:
  - found
language:
  - en
  - vi
license:
  - mit
multilinguality:
  - translation
pretty_name: Machine Translation Paired English-Vietnamese Sentences
size_categories:
  - 1M<n<10M
source_datasets:
  - own
  - open_subtitles
  - tatoeba
  - opus_tedtalks
  - qed_amara
  - opus_wikipedia
task_categories:
  - conditional-text-generation
task_ids:
  - machine-translation

Dataset Card for Machine Translation Paired English-Vietnamese Sentences

Table of Contents

• Table of Contents
• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • Contributions

Dataset Description

• Homepage:
• Repository:
• Paper:
• Leaderboard:
• Point of Contact:

Dataset Summary

[More Information Needed]

Supported Tasks and Leaderboards

[More Information Needed]

Languages

The language of the dataset text sentence is English ('en') and Vietnamese (vi).

Dataset Structure

Data Instances

An instance example:

{
  'en': 'And what I think the world needs now is more connections.', 
  'vi': 'Và tôi nghĩ điều thế giới đang cần bây giờ là nhiều sự kết nối hơn.', 
  'source': 'TED2020 v1'
}

Data Fields

• en (str): English sentence
• vi (str): Vietnamese sentence
• source (str): Source.

Data Splits

The dataset is split in train, validation and test.

	Tain	Validation	Test
Number of examples	2884451	11316	11225

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

Thanks to @ncduy0303 for adding this dataset.