bianet
收藏魔搭社区2025-12-05 更新2025-08-16 收录
下载链接:
https://modelscope.cn/datasets/Helsinki-NLP/bianet
下载链接
链接失效反馈官方服务:
资源简介:
# 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.
# Bianet 数据集卡片
## 目录
- [数据集描述](#dataset-description)
- [数据集摘要](#dataset-summary)
- [支持的任务与评测榜单](#supported-tasks-and-leaderboards)
- [涉及语言](#languages)
- [数据集结构](#dataset-structure)
- [数据实例](#data-instances)
- [数据字段](#data-fields)
- [数据划分](#data-splits)
- [数据集构建](#dataset-creation)
- [构建初衷](#curation-rationale)
- [源数据](#source-data)
- [标注信息](#annotations)
- [个人与敏感信息](#personal-and-sensitive-information)
- [数据集使用注意事项](#considerations-for-using-the-data)
- [数据集的社会影响](#social-impact-of-dataset)
- [偏差讨论](#discussion-of-biases)
- [其他已知局限性](#other-known-limitations)
- [附加信息](#additional-information)
- [数据集维护者](#dataset-curators)
- [许可信息](#licensing-information)
- [引用信息](#citation-information)
- [贡献者](#contributions)
## 数据集描述
- **主页:** https://opus.nlpl.eu/Bianet/corpus/version/Bianet
- **代码仓库:** [更多信息待补充](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **相关论文:** http://lrec-conf.org/workshops/lrec2018/W19/summaries/6_W19.html
- **相关论文:** https://arxiv.org/abs/1805.05095
- **评测榜单:** [更多信息待补充](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **联络人:** [更多信息待补充](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### 数据集摘要
本数据集为一款全新的开源并行语料库(parallel corpus),数据源自土耳其语在线新闻平台《Bianet》杂志所发布的新闻稿件,该平台通常会同步发布土耳其语新闻及其英语、库尔德语译版。
本数据集是涵盖土耳其语、库尔德语与英语的并行新闻语料库:研究团队从[Bianet在线新闻平台](https://bianet.org/)收录了3214篇土耳其语稿件,并附带与其句子级对齐(sentence-aligned)的库尔德语或英语译版。
Bianet数据集统计数据:
- 涉及语言数:3种
- 双向并行文本(bitexts):3组
- 文件总数:6个
- Token总数:225万
- 语句片段数:14万
### 支持的任务与评测榜单
机器翻译。
### 涉及语言
本数据集涵盖的语言如下:
- 英语(`en`)
- 库尔德语(`ku`)
- 土耳其语(`tr`)
## 数据集结构
### 数据实例
json
{
'id': '0',
'translation': {
'en': '迪亚巴克尔第二刑事和平法庭已就迪亚巴克尔警方通勤巴士爆炸事件发布禁报令。',
'ku': 'Biryara qedexekirinê di rûpela Lijneya Bilnd a Radyo û Televizyonan (RTUK) de bi daxuyaniyek hat diyarkirin û wiha hat gotin:'
}
}
### 数据字段
- `id`(字符串类型`str`):唯一标识符。
- `translation`:各语言对的并行文本。
### 数据划分
[更多信息待补充]
## 数据集构建
### 构建初衷
[更多信息待补充]
### 源数据
#### 初始数据收集与标准化
[更多信息待补充]
#### 源语言生产者是谁?
[更多信息待补充]
### 标注信息
#### 标注流程
[更多信息待补充]
#### 标注者是谁?
[更多信息待补充]
### 个人与敏感信息
[更多信息待补充]
## 数据集使用注意事项
### 数据集的社会影响
[更多信息待补充]
### 偏差讨论
[更多信息待补充]
### 其他已知局限性
[更多信息待补充]
## 附加信息
### 数据集维护者
[更多信息待补充]
### 许可信息
本语料库采用CC-BY-SA-4.0开源许可协议进行分发。
### 引用信息
bibtex
@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}
}
### 贡献者
感谢[@param087](https://github.com/param087)为本数据集添加了相关内容。
提供机构:
maas
创建时间:
2025-08-15



