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--- |
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language: |
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- ca |
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- de |
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multilinguality: |
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- multilingual |
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pretty_name: CA-DE Parallel Corpus |
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size_categories: |
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- 1M<n<10M |
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source_datasets: |
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- original |
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task_categories: |
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- translation |
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task_ids: [] |
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license: cc-by-nc-sa-4.0 |
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--- |
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# Dataset Card for CA-DE Parallel Corpus |
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## Table of Contents |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Supported Tasks](#supported-tasks-and-leaderboards) |
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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Splits](#data-instances) |
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- [Dataset Creation](#dataset-creation) |
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- [Source Data](#source-data) |
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- [Data preparation](#data-preparation) |
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- [Personal and Sensitive Information](#personal-and-sensitive-information) |
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- [Considerations for Using the Data](#considerations-for-using-the-data) |
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- [Social Impact of Dataset](#social-impact-of-dataset) |
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- [Discussion of Biases](#discussion-of-biases) |
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- [Other Known Limitations](#other-known-limitations) |
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- [Additional Information](#additional-information) |
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- [Author](#author) |
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- [Contact Information](#contact-information) |
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- [Copyright](#copyright) |
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- [Licensing information](#licenciung-informatrion) |
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- [Funding](#funding) |
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## Dataset Description |
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### Dataset Summary |
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The CA-DE Parallel Corpus is a Catalan-German dataset of **9.530.709** parallel sentences. The dataset was created to support Catalan in NLP tasks, specifically |
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Machine Translation. |
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### Supported Tasks and Leaderboards |
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The dataset can be used to train Bilingual Machine Translation models between German and Catalan in any direction, |
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as well as Multilingual Machine Translation models. |
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### Languages |
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The sentences included in the dataset are in Catalan (CA) and German (DE). |
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## Dataset Structure |
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Two separated txt files are provided with the sentences sorted in the same order: |
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- ca-de_all_2023_09_11.ca: contains 9.530.709 Catalan sentences. |
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- ca-de_all_2023_09_11.de: contains 9.530.709 German sentences. |
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### Data Splits |
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The dataset contains a single split: `train`. |
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## Dataset Creation |
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### Curation Rationale |
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This dataset is aimed at promoting the development of Machine Translation between Catalan and other languages, specifically German. |
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### Source Data |
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#### Initial Data Collection and Normalization |
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The dataset is a combination of the following original datasets: |
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| Dataset | Sentences | |
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|:--------------|----------:| |
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| Multi CCAligned | 1.027.481 | |
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| WikiMatrix | 125.811 | |
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| GNOME | 1.241| |
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| KDE4 | 105.098 | |
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| QED | 49.181 | |
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| TED2020 v1 | 38.428 | |
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| OpenSubtitles | 171.376 | |
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| GlobalVoices| 3.578| |
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| Tatoeba | 655 | |
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| Books | 2049 | |
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| Europarl | 1.734.643 | |
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| Tilde | 3.434.091 | |
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| **Total** | **6.258.272** | |
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All corpora except Europarl and Tilde were collected from [Opus](https://opus.nlpl.eu/). |
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The Europarl and Tilde corpora are synthetic parallel corpora created from the original Spanish-Catalan corpora |
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by [SoftCatalà](https://github.com/Softcatala/Europarl-catalan). |
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The remaining **3.272.437** sentences are synthetic parallel data created from a random sampling of the Spanish-German corpora |
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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. |
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All datasets are deduplicated and filtered to remove any sentence pairs with a cosine similarity of less than 0.75. |
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This is done using sentence embeddings calculated using [LaBSE](https://huggingface.co/sentence-transformers/LaBSE). |
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The filtered datasets are then concatenated to form a final corpus of **9.530.709** parallel sentences. |
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#### Who are the source language producers? |
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[Opus](https://opus.nlpl.eu/) |
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[SoftCatalà](https://github.com/Softcatala/Europarl-catalan) |
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### Annotations |
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#### Annotation process |
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The dataset does not contain any annotations. |
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#### Who are the annotators? |
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[N/A] |
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### Personal and Sensitive Information |
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No anonymisation process was performed. |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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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. |
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### Discussion of Biases |
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No specific bias mitigation strategies were applied to this dataset. |
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Inherent biases may exist within the data. |
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### Other Known Limitations |
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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. |
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## Additional Information |
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### Dataset Curators |
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Language Technologies Unit at the Barcelona Supercomputing Center (langtech@bsc.es). |
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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). |
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### Licensing Information |
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This work is licensed under a [Attribution-NonCommercial-ShareAlike 4.0 International](https://creativecommons.org/licenses/by-nc-sa/4.0/). |
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### Citation Information |
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[N/A] |
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### Contributions |
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[N/A] |
