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--- |
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language: |
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- ca |
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- eu |
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multilinguality: |
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- multilingual |
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pretty_name: CA-EU Parallel Corpus |
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size_categories: |
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- 1M<n<10M |
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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-EU Parallel Corpus |
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## Dataset Description |
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- **Point of Contact:** [email protected] |
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### Dataset Summary |
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The CA-EU Parallel Corpus is a Catalan-Basque synthetic dataset of **10.471.139** parallel sentences. |
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The dataset was created to support the use of co-official languages from Spain, such as Catalan and Basque, |
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in NLP tasks, specifically 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 Basque 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 Basque (EU). |
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## Dataset Structure |
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### Data Instances |
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Two separate txt files are provided with the sentences sorted in the same order: |
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- ca-eu_FULL.ca: contains 10.471.139 Catalan sentences (synthetic). |
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- ca-eu_FULL.eu: contains 10.471.139 Basque sentences (authentic). |
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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 |
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and other co-official languages from Spain, specifically Basque. |
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### Source Data |
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#### Initial Data Collection and Normalization |
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This synthetic dataset was created in the frame of Project Ilenia. |
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An authentic parallel corpus ES-EU was delivered by [HiTZ](http://hitz.eus/) and the Spanish was |
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translated to Catalan using the machine translation model [PlanTL-GOB-ES](https://huggingface.co./PlanTL-GOB-ES/mt-plantl-es-ca). |
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**Total: 10.471.139 parallel sentences** . |
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#### Who are the source language producers? |
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[HiTZ](http://hitz.eus/) |
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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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Given that this dataset is partly derived from pre-existing datasets that may contain crawled data, and that no specific anonymisation process has been applied, |
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personal and sensitive information may be present in the data. This needs to be considered when using the data for training models. |
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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 and Basque, two of the co-official languages of Spain, |
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across NLP tasks, thereby improving the accessibility and visibility of both Catalan and Basque. |
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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. |
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Applications 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 is funded by the Ministerio para la Transformación Digital y de la Función Pública - Funded by EU – NextGenerationEU |
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within the framework of the [project ILENIA](https://proyectoilenia.es/) |
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with reference 2022/TL22/00215337, 2022/TL22/00215336, 2022/TL22/00215335 y 2022/TL22/00215334 |
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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] |
