Datasets:
license:
- apache-2.0
task_categories:
- translation
language:
- va
- en
size_categories:
- 100K<n<1M
UJI_PARALLEL_VA_EN Dataset
Dataset Summary
UJI_PARALLEL_VA_EN is a parallel dataset for machine translation between Valencian (VA) and English (EN).
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.
The parallel data in this dataset is extracted from web news published by the Universitat Jaume I (UJI). All sentence pairs originate from publicly available articles on the university's official communication channels.
Dataset Structure
Each row in the dataset includes the following fields:
- VA: A sentence in Valencian.
- EN: The corresponding English translation.
- Source: The file from which the parallel sentence pair was obtained.
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:
@misc{uji_parallel_va_en_2025,
author = {Espinosa Zaragoza, Sergio and Sep{\'u}lveda Torres, Robiert and Mu{\~n}oz Guillena, Rafael and Consuegra-Ayala, Juan Pablo},
title = {UJI\_PARALLEL\_VA\_EN 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/uji_parallel_va_en}}
}
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.