README.md

---
YAML tags: null
language:
- ca
- pt
multilinguality:
- multilingual
pretty_name: CA-PT Parallel Corpus
task_categories:
- translation
size_categories:
- 1M<n<10M
license: cc-by-nc-sa-4.0
---

# Dataset Card for CA-PT Parallel Corpus

## 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)
  - [Example](#example)
  - [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

- **Point of Contact:** [email protected]


### Dataset Summary

The CA-PT Parallel Corpus is a Catalan-Portuguese dataset of **9.892.953** parallel sentences. The dataset was created to support Catalan in NLP tasks, specifically 
Machine Translation.


### Supported Tasks and Leaderboards

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

### Languages

The sentences included in the dataset are in Catalan (CA) and Portuguese (PT).

## Dataset Structure

### Data Instances

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

- ca-pt_2023_09_01_full.ca: contains 9.892.953 Catalan sentences.

- ca-pt_2023_09_01_full.pt: contains 9.892.953 Portuguese sentences.


### 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 languages, specifically Portuguese.

### Source Data

#### Initial Data Collection and Normalization

The dataset is a combination of the following original datasets:

| Dataset       | Sentences |
|:-------|-------:|
| CCMatrix  v1  | 3.765.459 |
| WikiMatrix    | 317.649 	|
| GNOME	        | 1.752     |
| KDE4    	    | 117.828 	|
| QED           | 43.736 	|
| TED2020 v1    | 41.461    |
| OpenSubtitles	| 235.604	|
| GlobalVoices  | 3.430     |
| Tatoeba       | 723       |
| Europarl      | 1.631.989 |
| **Total**     | **6.159.631** |

All corpora except Europarl were collected from [Opus](https://opus.nlpl.eu/).
The Europarl corpus is a synthetic parallel corpus created from the original Spanish-Catalan corpus by [SoftCatalà](https://github.com/Softcatala/Europarl-catalan).

The remaining **3.733.322** sentences are synthetic parallel data created from a random sampling of the Spanish-Portuguese corpora 
available on [Opus](https://opus.nlpl.eu/) and translated into Catalan using the [PlanTL es-ca](https://huggingface.co/PlanTL-GOB-ES/mt-plantl-es-ca) model.

All datasets are deduplicated and filtered to remove any sentence pairs with a cosine similarity of less than 0.75. 
This is done using sentence embeddings calculated using [LaBSE](https://huggingface.co/sentence-transformers/LaBSE). 
The filtered datasets are then concatenated to form a final corpus of **9.892.953** parallel sentences.

#### Who are the source language producers?

[Opus](https://opus.nlpl.eu/) 

[SoftCatalà](https://github.com/Softcatala/Europarl-catalan)

### Annotations

#### Annotation process

The dataset does not contain any annotations.

#### Who are the annotators?

[N/A]

### Personal and Sensitive Information

No anonymisation process was performed.

## Considerations for Using the Data

### Social Impact of Dataset

By providing this resource, we intend to promote the use of Catalan across NLP tasks, thereby improving the accessibility and visibility of the Catalan language.

### 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 ([email protected]).

This work was funded by the [Departament de la Vicepresidència i de Polítiques Digitals i Territori de la Generalitat de Catalunya](https://politiquesdigitals.gencat.cat/ca/inici/index.html#googtrans(ca|en) within the framework of [Projecte AINA](https://politiquesdigitals.gencat.cat/ca/economia/catalonia-ai/aina).


### 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]