softcatala/Tilde-MODEL-Catalan

---
annotations_creators: []
language_creators:
- machine-generated
language:
- ca
- de
license:
- cc-by-4.0
multilinguality:
- translation
size_categories:
- 1M<n<10M
source_datasets:
- extended|tilde_model
task_categories:
- text2text-generation
- translation
task_ids: []
pretty_name: Catalan-German aligned corpora to train NMT systems.
tags:
- conditional-text-generation
---

# Dataset Card for Tilde-MODEL-Catalan

## Table of Contents

- [Table of Contents](#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://www.softcatala.org/
- **Repository:** https://github.com/Softcatala/Tilde-MODEL-catalan
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**

### Dataset Summary

This dataset contains the German version of the Tilde-MODEL corpus aligned with a Catalan translation.
The catalan text has been obtained using Apertium's RBMT system from the Spanish version. It contains 3.4M segments.

### Supported Tasks and Leaderboards

This dataset can be used to train NMT and SMT systems.
It has been used as a training corpus for the [Softcatalà machine translation engine](https://www.softcatala.org/traductor/).

### Languages

Catalan (`ca`).
German (`de`).

## Dataset Structure

### Data Instances

[More Information Needed]

### Data Fields

Raw text.

### Data Splits

One file for language.

## 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

[@softcatala](https://github.com/Softcatala)
[@jordimas](https://github.com/jordimas)
[@davidcanovas](https://github.com/davidcanovas)

### Licensing Information

[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/).

### Citation Information

[More Information Needed]

### Contributions

[More Information Needed]

原始信息汇总

数据集概述

数据集描述

数据集总结

• 内容: 包含德语版本的Tilde-MODEL语料库与加泰罗尼亚语翻译的对齐数据。
• 翻译方法: 使用Apertium的RBMT系统从西班牙语版本翻译得到加泰罗尼亚语文本。
• 数据量: 包含3.4M个片段。

支持的任务和排行榜

• 用途: 用于训练NMT（神经机器翻译）和SMT（统计机器翻译）系统。
• 应用实例: 作为训练语料库用于Softcatalà机器翻译引擎。

语言

• 源语言: 德语 (de)。
• 目标语言: 加泰罗尼亚语 (ca)。

数据集结构

数据实例

• 详情: 待补充。

数据字段

• 内容: 原始文本。

数据分割

• 分割方式: 每种语言一个文件。

数据集创建

来源数据

• 初始数据收集和标准化: 待补充。
• 源语言生产者: 待补充。

注释

• 注释过程: 待补充。
• 注释者: 待补充。

使用数据的考虑

社会影响

• 影响: 待补充。

偏见讨论

• 偏见: 待补充。

其他已知限制

• 限制: 待补充。

附加信息

数据集管理员

• 贡献者: @softcatala, @jordimas, @davidcanovas。

许可信息

• 许可: CC BY 4.0。

引用信息

• 引用: 待补充。