README.md

metadata

annotations_creators:
  - found
language_creators:
  - found
language:
  - en
  - ku
  - tr
license: cc-by-sa-4.0
multilinguality:
  - translation
size_categories:
  - 10K<n<100K
  - 1K<n<10K
source_datasets:
  - original
task_categories:
  - translation
task_ids: []
paperswithcode_id: bianet
pretty_name: Bianet
config_names:
  - en-ku
  - en-tr
  - ku-tr
dataset_info:
  - config_name: en-ku
    features:
      - name: id
        dtype: string
      - name: translation
        dtype:
          translation:
            languages:
              - en
              - ku
    splits:
      - name: train
        num_bytes: 1800794
        num_examples: 6402
    download_size: 1019265
    dataset_size: 1800794
  - config_name: en-tr
    features:
      - name: id
        dtype: string
      - name: translation
        dtype:
          translation:
            languages:
              - en
              - tr
    splits:
      - name: train
        num_bytes: 10230995
        num_examples: 34770
    download_size: 5932117
    dataset_size: 10230995
  - config_name: ku-tr
    features:
      - name: id
        dtype: string
      - name: translation
        dtype:
          translation:
            languages:
              - ku
              - tr
    splits:
      - name: train
        num_bytes: 2086538
        num_examples: 7325
    download_size: 1206133
    dataset_size: 2086538
configs:
  - config_name: en-ku
    data_files:
      - split: train
        path: en-ku/train-*
  - config_name: en-tr
    data_files:
      - split: train
        path: en-tr/train-*
  - config_name: ku-tr
    data_files:
      - split: train
        path: ku-tr/train-*

Dataset Card for [Dataset Name]

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: https://opus.nlpl.eu/Bianet/corpus/version/Bianet
• Repository: More Information Needed
• Paper: http://lrec-conf.org/workshops/lrec2018/W19/summaries/6_W19.html
• Paper: https://arxiv.org/abs/1805.05095
• Leaderboard: More Information Needed
• Point of Contact: More Information Needed

Dataset Summary

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.

3 languages, 3 bitexts total number of files: 6 total number of tokens: 2.25M total number of sentence fragments: 0.14M

Supported Tasks and Leaderboards

[More Information Needed]

Languages

[More Information Needed]

Dataset Structure

Data Instances

[More Information Needed]

Data Fields

[More Information Needed]

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.