| --- |
| license: cc-by-4.0 |
| task_categories: |
| - translation |
| language: |
| - va |
| - es |
| size_categories: |
| - 100K<n<1M |
| --- |
| |
| # UV_PARALLEL_VA_ES Dataset |
| |
| ## Dataset Summary |
| |
| **UV_PARALLEL_VA_ES** is a parallel dataset for machine translation between **Valencian (VA)** and **Spanish (ES)**. |
| It consists of aligned sentence pairs along with the source file from which each pair was extracted. |
| The dataset is intended for research in machine translation, cross-lingual NLP, and linguistic analysis. |
| |
| ## Dataset Structure |
| |
| Each row in the dataset includes the following fields: |
| |
| - **VA**: A sentence in Valencian. |
| - **ES**: The corresponding Spanish sentence. |
| - **Source**: The file from which the parallel sentence pair was obtained. |
| |
| ## Dataset Creation |
| |
| ### Curation Rationale |
| |
| This dataset is aimed at promoting the development of Machine Translation |
| between Valencian and Spanish, supporting research in multilingual NLP |
| and facilitating the development of translation systems for these language pairs. |
| |
| ### Source Data |
| |
| The parallel data in this dataset is extracted from web news published by the [Universitat de València (UV)](https://www.uv.es/). |
| All sentence pairs originate from publicly available articles on the university's official communication channels. |
| |
| ### Data Filtering and Normalization |
| |
| All data underwent rigorous filtering and normalization: |
| - **Alignment filtering**: Sentence- and paragraph-level alignments were calculated with the [`gplsi |
| translation-alignment` tool](https://github.com/gplsi/translation-alignment). |
| - **Language identification**: Valencian documents are filtered using a private discriminative tool to differentiate them from Catalan. |
| - **Deduplication:** The filtered datasets were deduplicated to remove redundant sentence pairs |
| |
| The filtered and normalized datasets were then concatenated to form the final corpus. |
| |
| ## Funding |
| |
| This dataset is funded by the *Ministerio para la Transformación Digital y de la Función Pública* — Funded by **EU – NextGenerationEU**, within the framework of the project *Desarrollo de Modelos ALIA*. |
| |
| <!-- ## Acknowledgments |
| |
| We extend our gratitude to all individuals and institutions that contributed to the development of this resource. |
| |
| Special thanks to: |
| |
| - [Data providers] |
| - [Technological support providers] |
| |
| We also acknowledge the financial, scientific, and technical contributions of the *Ministerio para la Transformación Digital y de la Función Pública – Funded by EU – NextGenerationEU* within the framework of the *Desarrollo de Modelos ALIA* project. --> |
| |
| ## Reference |
| |
| Please cite this dataset using the following BibTeX entry: |
| |
| ```bibtex |
| @misc{uv_parallel_va_es_2026, |
| author = {Espinosa Zaragoza, Sergio and Sep{\'u}lveda Torres, Robiert and Mu{\~n}oz Guillena, Rafael and Consuegra-Ayala, Juan Pablo}, |
| title = {UV\_PARALLEL\_VA\_ES Dataset}, |
| year = {2025}, |
| institution = {Language and Information Systems Group (GPLSI) and Centro de Inteligencia Digital (CENID), University of Alicante (UA)}, |
| howpublished = {\url{https://huggingface.co/datasets/gplsi/uv_parallel_va_es}} |
| } |
| ``` |
| |
| ## Disclaimer |
| |
| This dataset may contain biases or unintended artifacts. |
| Any third party using or deploying systems based on this dataset is solely responsible for ensuring compliant, safe, and ethical use, including adherence to relevant AI and data protection regulations. |
| |
| The University of Alicante, as creator and owner of the dataset, assumes no liability for outcomes resulting from third-party use. |
| |
| ## License |
| |
| This work is licensed under a [Creative Commons Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/) licence. |
