Dataset Card for Bianet

Dataset Summary

A new open-source parallel corpus consisting of news articles collected from the Bianet magazine, an online newspaper that publishes Turkish news, often along with their translations in English and Kurdish.

A parallel news corpus in Turkish, Kurdish and English; Bianet collects 3,214 Turkish articles with their sentence-aligned Kurdish or English translations from the Bianet online newspaper.

Bianet's Numbers:

• Languages: 3
• Bitexts: 3
• Number of files: 6
• Number of tokens: 2.25M
• Sentence fragments: 0.14M

Supported Tasks and Leaderboards

Translation.

Languages

The languages in the dataset are:

• English (en)
• Kurdish (ku)
• Turkish (tr)

Dataset Structure

Data Instances

{
  'id': '0',
  'translation': {
    'en': 'Diyarbakır 2nd Criminal Court of Peace has issued a gag order on the bomb attack on police shuttle in Diyarbakır.',
    'ku': 'Biryara qedexekirinê di rûpela Lijneya Bilnd a Radyo û Televizyonan (RTUK) de bi daxuyaniyek hat diyarkirin û wiha hat gotin:'
  }
}

Data Fields

• id (str): Unique ID.
• translation: Parallel text in each of the language pairs.

Data Splits

[More Information Needed]

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

This corpus is distributed under the CC-BY-SA-4.0 open license.

Citation Information

@InProceedings{ATAMAN18.6,
  author = {Duygu Ataman},
  title = {Bianet: A Parallel News Corpus in Turkish, Kurdish and English},
  booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)},
  year = {2018},
  month = {may},
  date = {7-12},
  location = {Miyazaki, Japan},
  editor = {Jinhua Du and Mihael Arcan and Qun Liu and Hitoshi Isahara},
  publisher = {European Language Resources Association (ELRA)},
  address = {Paris, France},
  isbn = {979-10-95546-15-3},
  language = {english}
  }

Contributions

Thanks to @param087 for adding this dataset.