Datasets:
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---
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: 10230995
num_examples: 34770
download_size: 5932117
dataset_size: 10230995
- 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_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_to_tr
data_files:
- split: train
path: ku_to_tr/train-*
---
# Dataset Card for [Dataset Name]
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
- [Curation Rationale](#curation-rationale)
- [Source Data](#source-data)
- [Annotations](#annotations)
- [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
- [Social Impact of Dataset](#social-impact-of-dataset)
- [Discussion of Biases](#discussion-of-biases)
- [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
- [Dataset Curators](#dataset-curators)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
- [Contributions](#contributions)
## Dataset Description
- **Homepage:** [Bianet](http://opus.nlpl.eu/Bianet.php)
- **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](http://lrec-conf.org/workshops/lrec2018/W19/pdf/6_W19.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](https://github.com/param087) for adding this dataset. |