---
language:
- ca
- gl
multilinguality:
- multilingual
pretty_name: CA-GL Parallel Corpus
size_categories:
- 10M<n<100M
task_categories:
- translation
task_ids: []
license: cc-by-nc-sa-4.0
---

# Dataset Card for CA-GL Parallel Corpus

## 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 the use of co-official languages from Spain, such as Catalan and Galician, 
in NLP tasks, specifically Machine Translation.

### Supported Tasks and Leaderboards

The dataset can be used to train Bilingual Machine Translation models between Galician and Catalan in any direction, 
as well as Multilingual Machine Translation models.

### Languages

The sentences included in the dataset are in Catalan (CA) and Galician (GL).

## Dataset Structure

### Data Instances

Two separate 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 Fields

[N/A]

### Data Splits

The dataset contains a single split: `train`.

## Dataset Creation

### Curation Rationale

This dataset is aimed at promoting the development of Machine Translation between Catalan 
and other co-official languages from Spain, specifically Galician.

### Source Data

#### Initial Data Collection and Normalization

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** .

#### Who are the source language producers?

[Proxecto Nós](https://nos.gal/es/proxecto-nos)

### Annotations

#### Annotation process

The dataset does not contain any annotations.

#### Who are the annotators?

[N/A]

### Personal and Sensitive Information

Given that this dataset is partly derived from pre-existing datasets that may contain crawled data, and that no specific anonymisation process has been applied, 
personal and sensitive information may be present in the data. This needs to be considered when using the data for training models.

## Considerations for Using the Data

### Social Impact of Dataset

By providing this resource, we intend to promote the use of Catalan and Galician, two of the co-official languages of Spain, 
across NLP tasks, thereby improving the accessibility and visibility of both Catalan and Galician.

### Discussion of Biases

No specific bias mitigation strategies were applied to this dataset. 
Inherent biases may exist within the data.

### Other Known Limitations

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

## Additional Information

### Dataset Curators

Language Technologies Unit at the Barcelona Supercomputing Center (langtech@bsc.es).

This work is funded by the Ministerio para la Transformación Digital y de la Función Pública - Funded by EU – NextGenerationEU 
within the framework of the [project ILENIA](https://proyectoilenia.es/) 
with reference 2022/TL22/00215337, 2022/TL22/00215336, 2022/TL22/00215335 y 2022/TL22/00215334 

### Licensing Information

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

### Citation Information

[N/A]

### Contributions

[N/A]