Datasets:
language:
- ca
- fr
multilinguality:
- multilingual
pretty_name: CA-FR Parallel Corpus
size_categories:
- 10M<n<100M
task_categories:
- translation
task_ids: []
license: cc-by-nc-sa-4.0
Dataset Card for CA-FR Parallel Corpus
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
Dataset Summary
The CA-FR Parallel Corpus is a Catalan-French dataset of 18.634.844 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 <<>> and Catalan in any direction, as well as Multilingual Machine Translation models.
Languages
The sentences included in the dataset are in Catalan (CA) and French (FR).
Dataset Structure
Data Instances
Two separate txt files are provided with the sentences sorted in the same order:
ca-fr_corpus.ca: contains 18.634.844 Catalan sentences.
ca-fr_corpus.fr: contains 18.634.844 French 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 French.
Source Data
Initial Data Collection and Normalization
The dataset is a combination of the following original datasets:
Dataset | Sentences |
---|---|
CCMatrix | 16.305.758 |
Multi CCAligned | 1.442.584 |
WikiMatrix | 437.665 |
GNOME | 1.686 |
KDE 4 | 111.750 |
QED | 52.797 |
TED 2020 | 44.101 |
Open Subtitles | 225.786 |
Total | 18.634.844 |
All corpora were collected from Opus.
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. The filtered datasets are then concatenated to form a final corpus of 18.634.844 parallel sentences.
Who are the source language producers?
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 (langtech@bsc.es).
This work was funded by the Departament de la Vicepresidència i de Polítiques Digitals i Territori de la Generalitat de Catalunya within the framework of Projecte AINA.
Licensing Information
This work is licensed under a Attribution-NonCommercial-ShareAlike 4.0 International.