--- language: - ca - fr multilinguality: - multilingual pretty_name: CA-FR Parallel Corpus size_categories: - 10M> 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](https://opus.nlpl.eu/). 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 **18.634.844** parallel sentences. #### Who are the source language producers? [Opus](https://opus.nlpl.eu/) ### 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](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