Datasets:

Helsinki-NLP
/

bianet

	---
	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 Bianet

	## 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: https://opus.nlpl.eu/Bianet/corpus/version/Bianet
	- Repository: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
	- Paper: http://lrec-conf.org/workshops/lrec2018/W19/summaries/6_W19.html
	- Paper: https://arxiv.org/abs/1805.05095
	- Leaderboard: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
	- Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### 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](https://bianet.org/).

	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](https://github.com/param087) for adding this dataset.