gplsi/alia_tourism

📘 ALIA_TOURISM Dataset

The ALIA_TOURISM dataset is a multilingual resource designed for text generation within the tourism domain. The source field indicates the data origin. Documents in the train partition are restricted to sources with LLM-permissive licenses or explicit donations to the ALIA project, whereas the test partition contains no such restrictions.

The dataset consists of textual documents formatted in Markdown (`.md`), each provided as structured JSONL entries. Each entry includes information about the text's source, language, format, text, and metadata.

🧾 Column Descriptions

🌍 Dataset Composition

• —Languages: Spanish (es), Valencian (va), and English (en)
• —Domain: Tourism
• —Format: JSON Lines (.jsonl)

Each item represents a standalone tourism-related text.

⚠️ Notes

• —The dataset is automatically curated from tourism sources.
• —Metadata coverage may vary by entry.
• —Content may include Markdown formatting for structure (e.g., headers, lists, emphasis).

💰 Funding

This work is funded by the Ministerio para la Transformación Digital y de la Función Pública, co-financed by the EU – NextGenerationEU, within the framework of the project Desarrollo de Modelos ALIA.

🙏 Acknowledgments

This dataset includes materials provided under authorization from the Unión Nacional de Entidades Festeras de Moros y Cristianos (UNDEF) and the Federación de Moros y Cristianos de San Blas, both of which acted as data providers. In accordance with the terms of this authorization, any derivative corpora created from this dataset, as well as any models trained, fine-tuned, or otherwise developed using these data, must explicitly acknowledge UNDEF and the Federación de Moros y Cristianos de San Blas as data providers in all relevant documentation, publications, dataset cards, model cards, and other forms of dissemination.

<!-- We would like to express our gratitude to all individuals and institutions that have contributed to the development of this work.

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{alia2025tourism,
author       = {Espinosa Zaragoza, Sergio and Maestre, Mar{\'\i}a Mir{\'o} and Mu{\~n}oz Guillena, Rafael and Consuegra-Ayala, Juan Pablo},
title        = {ALIA_TOURISM 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/alia_tourism}}](https://huggingface.co/datasets/gplsi/alia_tourism}})
}

⚠️ 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.