README.md

---
task_categories:
- translation
language:
- va
- es
size_categories:
- 100K<n<1M
---

# GVA_TRANSLATION Dataset

## Dataset Summary

**GVA_TRANSLATION Dataset** is a parallel dataset for machine translation between **Valencian (VA)** and **Spanish (ES)**.  
The data in this dataset was shared by the "Dirección General de Política Lingüística de la Generalitat Valenciana" exclusively for use as training data for the ALIA family of models.
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 text in Valencian.  
- **ES**: The corresponding Spanish text.  

## 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{gva_translation_2026,
  author       = {Consuegra-Ayala, Juan Pablo and Mu{\~n}oz Guillena, Rafael and Montollo, Andr{\'e}s and Palomar, Manuel},
  title        = {GVA\_TRANSLATION Dataset},
  year         = {2026},
  institution  = {Language and Information Systems Group (GPLSI) and Centro de Inteligencia Digital (CENID), University of Alicante (UA)},
  howpublished = {\url{https://huggingface.co/datasets/gplsi/gva_translation}}
}
```

## 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.