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--- |
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language: |
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- ca |
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- de |
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- multilingual |
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multilinguality: |
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- translation |
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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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--- |
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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-PT Parallel Corpus is a Catalan-German dataset of **XXX** parallel sentences. The dataset was created to support Catalan NLP tasks, e.g., |
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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 a model for Multilingual Machine Translation. Success on this task is typically measured by achieving a high BLEU score. |
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### Languages |
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The texts in the dataset are in Catalan and German. |
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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 XXX Catalan sentences. |
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- ca-de_all_2023_09_11.de: contains XXX 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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### Source Data |
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The dataset is a combination of the following authentic datasets: |
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| Dataset | Sentences | |
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|---------------|-----------| |
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All corpora except Europarl were collected from [Opus](https://opus.nlpl.eu/). |
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The Europarl corpus is a synthetic parallel corpus created from the original Spanish-Catalan corpus by [SoftCatalà](https://github.com/Softcatala/Europarl-catalan). |
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The remaining **XXX** sentences are synthetic parallel data created from a random sampling of the Spanish-German 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. |
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### Data preparation |
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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 **XXX** parallel sentences and before training the punctuation is normalized using a modified version of the join-single-file.py script from [SoftCatalà](https://github.com/Softcatala/nmt-models/blob/master/data-processing-tools/join-single-file.py). |
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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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The purpose of this dataset is to help develop Machines Translation tasks for low-resource languages such as Catalan. |
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### Discussion of Biases |
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We are aware that since part of the data comes from unreliable web pages and non-curated texts, some biases may be present in the dataset. |
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Nonetheless, we have not applied any steps to reduce their impact. |
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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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### Author |
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Language Technologies Unit (LangTech) at the Barcelona Supercomputing Center. |
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### Contact information |
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For further information, please send an email to [email protected]. |
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### Copyright |
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Copyright Language Technologies Unit at Barcelona Supercomputing Center (2023). |
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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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### Funding |
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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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