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--- |
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language: |
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- ca |
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- en |
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multilinguality: |
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- multilingual |
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pretty_name: CA-EN Parallel Corpus |
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size_categories: |
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- 10M<n<100M |
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task_categories: |
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- translation |
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task_ids: [] |
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license: cc-by-4.0 |
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--- |
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# Dataset Card for CA-EN 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-EN Parallel Corpus is a Catalan-English dataset of **14.385.296** 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 English 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 English (EN). |
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## Dataset Structure |
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### Data Instances |
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The dataset is a single tsv file where each row contains a parallel sentence pair. |
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### Data Fields |
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[N/A] |
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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 English. |
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### Source Data |
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#### Initial Data Collection and Normalization |
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The The data is a brand new collection of parallel sentences in Catalan and English, partially derived from web crawlings and belonging to a mix of different |
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domains and styles. |
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The source data is Catalan authentic text translated to English or authentic English text translated to Catalan. |
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The original data gathering was entrusted to an external company through a public tender process. |
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The data was obtained through a combination of human translation and machine translation with human proofreading. |
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After the translation process, the data was deduplicated and filtered to remove any sentence pairs with a cosine similarity of less than 0.75 in order |
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to improve the data alignment quality. |
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This was done using sentence embeddings calculated using [LaBSE](https://huggingface.co/sentence-transformers/LaBSE). |
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The obtained cleaned corpus consists of **14.385.296** parallel sentences of human quality. |
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#### Who are the source language producers? |
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[N/A] |
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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 ([email protected]). |
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This work has been promoted and financed by the Generalitat de Catalunya through the [Aina project](https://projecteaina.cat/). |
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### Licensing Information |
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This work is licensed under a Creative Commons Attribution 4.0 International license(https://creativecommons.org/licenses/by/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] |
