---
language:
- ca
- gl
- multilingual
multilinguality:
- translation
pretty_name: CA-GL Parallel Corpus
size_categories:
- 10M<n<100M
source_datasets:
- original
task_categories:
- translation
task_ids: []
---

# Dataset Card for CA-GL Parallel Corpus

## Table of Contents
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Splits](#data-instances)
- [Dataset Creation](#dataset-creation)
  - [Source Data](#source-data)
  - [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)
  - [Author](#author)
  - [Contact Information](#contact-information)
  - [Copyright](#copyright)
  - [Licensing information](#licenciung-informatrion)
  - [Funding](#funding)

## Dataset Description

### Dataset Summary

The CA-GL Parallel Corpus is a Catalan-Galician synthetic dataset of **33.668.599** parallel sentences. The dataset was created to support Catalan NLP tasks, e.g., 
Machine Translation.

### Supported Tasks and Leaderboards

The dataset can be used to train a model for Multilingual Machine Translation. Success on this task is typically measured by achieving a high BLEU score.

### Languages

The texts in the dataset are in Catalan and Galician.

## Dataset Structure

Two separated txt files are provided with the sentences sorted in the same order:

- nos_all.ca: contains 33.668.599 Catalan sentences (synthetic).

- nos_all.gl: contains 33.668.599 Galician sentences (authentic).

### Data Splits

The dataset contains a single split: `train`.

## Dataset Creation

### Source Data

This synthetic dataset was created in the frame of Project Ilenia. An authentic parallel corpus ES-GL was delivered by Proxecto Nós
and the Spanish was translated to Catalan using the machine translation model [PlanTL-GOB-ES](https://huggingface.co/PlanTL-GOB-ES/mt-plantl-es-ca).

**Total: 33.668.599 parallel sentences** .

### Personal and Sensitive Information

No anonymisation process was performed.

## Considerations for Using the Data

### Social Impact of Dataset

The purpose of this dataset is to help develop Machines Translation tasks for low-resource languages such as Catalan.

### Discussion of Biases

We are aware that since part of the data comes from unreliable web pages and non-curated texts, some biases may be present in the dataset.
Nonetheless, we have not applied any steps to reduce their impact.

### Other Known Limitations

The dataset contains data of a general domain. Application of this dataset in more specific domains such as biomedical, legal etc. would be of limited use.

## Additional Information

### Author
Language Technologies Unit (LangTech) at the Barcelona Supercomputing Center.

### Contact information
For further information, please send an email to langtech@bsc.es.

### Copyright
Copyright Language Technologies Unit at Barcelona Supercomputing Center (2023).

### Licensing information
This work is licensed under a [Attribution-NonCommercial-ShareAlike 4.0 International](https://creativecommons.org/licenses/by-nc-sa/4.0/).

### Funding
This work was funded by the SEDIA within the framework of ILENIA.