---
annotations_creators:
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language_creators:
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language:
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license: cc-by-sa-4.0
multilinguality:
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size_categories:
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- 1K<n<10K
source_datasets:
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task_categories:
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task_ids: []
paperswithcode_id: bianet
pretty_name: Bianet
config_names:
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dataset_info:
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    path: en-tr/train-*
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  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.