📘 ALIA_AMIC Dataset

The ALIA_AMIC dataset is a monolingual resource designed for text generation.

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

🧾 Column Descriptions

Field	Type	Description
format	string	Indicates the text format. All entries use "md" (Markdown).
language	string	Language of the content. All entries use "va" (Valencian).
text	string	The main textual content in Markdown format.
metadata	object	Supplementary information.

🌍 Dataset Composition

• Languages: Valencian (va)
• Format: JSON Lines (.jsonl)

⚠️ Notes

• The dataset is automatically curated and automatically anonymized using the AnonymizationPipeline.
• The metadata field includes a key named spans, which contains information about the anonymized text segments, including their start, end, label, and rank.
• 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.

📚 Reference

Please cite this dataset using the following BibTeX format:

@misc{alia2025amic,
author       = {Espinosa Zaragoza, Sergio and Sep{'u}lveda Torres, Robiert and Mu{~n}oz Guillena, Rafael and Consuegra-Ayala, Juan Pablo},
title        = {ALIA_AMIC 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_amic}}](https://huggingface.co/datasets/gplsi/alia_amic}})
}

⚠️ 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.