Datasets:
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-to-ku
- en-to-tr
- en_to_ku
- en_to_tr
- ku-to-tr
- ku_to_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: 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: 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
- config_name: ku_to_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: en_to_ku
data_files:
- split: train
path: en_to_ku/train-*
- config_name: en_to_tr
data_files:
- split: train
path: en_to_tr/train-*
- config_name: ku-tr
data_files:
- split: train
path: ku-tr/train-*
- config_name: ku_to_tr
data_files:
- split: train
path: ku_to_tr/train-*
Dataset Card for [Dataset Name]
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
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.