README.md

metadata

task_categories:
  - text-generation
language:
  - es
  - va
license: cc-by-4.0
size_categories:
  - 1M<n<10M

MULTILINGUAL PARALLEL SENTENCES Dataset

The dataset is built from parallel corpora for translation tasks and is intended to be used for continual pretraining of language models. It provides aligned sentences in multiple languages to facilitate multilingual learning.

Dataset Structure

The dataset is stored in a single file: a JSON Lines file where each line contains sentences in multiple languages. Each sentence is prefixed with the full name of the language.

The following language codes are mapped to their full names:

• va: Valencià
• es: Español
• en: English

Example Entry

{"text": "Valencià: Aquesta és una frase.\nEspañol: Esta es una frase.\nEnglish: This is a sentence."}

💰 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{alia2025dogv,
author       = {Consuegra-Ayala, Juan Pablo and Sep{'u}lveda Torres, Robiert and Mu{~n}oz Guillena, Rafael},
title        = {MULTILINGUAL_PARALLEL_SENTENCES 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_multilingual_parallel_sentences}}](https://huggingface.co/datasets/gplsi/alia_multilingual_parallel_sentences}})
}

⚠️ 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.