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ES_VACA Dataset

Dataset Summary

ES_VACA is a Spanish–Valencian–Catalan lexical correspondence dataset designed to facilitate research on lexical variation and equivalence between Spanish (ES), exclusive Valencian (VA), exclusive Catalan (CA), and shared Valencian–Catalan (VA-CA) lexical items.

The dataset is indexed by Spanish words (ES) and provides the corresponding terms in the three other categories, highlighting cases where the Valencian and Catalan varieties diverge or converge.

Dataset Structure

Each row in the dataset includes the following columns:

  • ES: The Spanish word or expression serving as the dataset key/index.
  • VA: The exclusive Valencian equivalent (used only in Valencian, not in standard Catalan).
  • VA-CA: The form common to both Valencian and Catalan, representing shared lexical usage.
  • CA: The exclusive Catalan equivalent (used in Catalan but not in Valencian).

The dataset is encoded in UTF-8 and uses semicolons (;) as field separators.

Funding

This work 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 would like to express our gratitude to all individuals and institutions that have contributed to the development of this dataset.

Special thanks to:

  • [Data providers]
  • [Technological support providers]

We also acknowledge the financial, technical, and scientific support of 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.

Reference

Please cite this dataset using the following BibTeX format:

@misc{esvaca2025,
  author       = {Sevilla-Requena, Luc{\'\i}a and Picazo-Izquierdo, Alicia and Lloret, Elena and Espinosa-Zaragoza, Isabel and Maestre, Mar{\'\i}a Mir{\'o} and Garc{\'\i}a-Cerd{\'\a}, Raul and Consuegra-Ayala, Juan Pablo and Mu{\~n}oz Guillena, Rafael},
  title        = {ES\_VACA 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/es_vaca}}
}

Disclaimer

Be aware that the data may contain biases or other unintended distortions. When third parties deploy systems or provide services based on this data, or use the data themselves, they bear the responsibility for mitigating any associated risks and ensuring compliance with applicable regulations, including those governing the use of Artificial Intelligence. The University of Alicante, as the owner and creator of the dataset, shall not be held liable for any outcomes resulting from third-party use.

License

This work is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) licence.

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