README.md

metadata

annotations_creators:
  - found
language_creators:
  - found
language:
  - en
  - ku
  - tr
license:
  - unknown
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-to-ku
  - en-to-tr
  - en_to_ku
  - en_to_tr
  - ku-to-tr
  - ku_to_tr
dataset_info:
  - config_name: en_to_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_to_tr
    features:
      - name: id
        dtype: string
      - name: translation
        dtype:
          translation:
            languages:
              - en
              - tr
    splits:
      - name: train
        num_bytes: 10231043
        num_examples: 34770
    download_size: 3544116
    dataset_size: 10231043
  - config_name: ku_to_tr
    features:
      - name: id
        dtype: string
      - name: translation
        dtype:
          translation:
            languages:
              - ku
              - tr
    splits:
      - name: train
        num_bytes: 2086550
        num_examples: 7325
    download_size: 725227
    dataset_size: 2086550
configs:
  - config_name: en_to_ku
    data_files:
      - split: train
        path: en_to_ku/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: Bianet
• Repository:
• Paper: Ataman, D. (2018) Bianet: A Parallel News Corpus in Turkish, Kurdish and English. In Proceedings of the LREC 2018 Workshop MLP-Moment. pp. 14-17. pdf
• Leaderboard:
• Point of Contact:

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

CC-BY-SA-4.0

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.