README.md

---
license: cc-by-4.0
task_categories:
- translation
language:
- va
- en
size_categories:
- 100K<n<1M
---

# UJI_PARALLEL_VA_ES Dataset

## Dataset Summary

**UJI_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 Jaume I (UJI)](https://www.uji.es/com/sumari/noticies/).
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{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\_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/uji_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.