Update README.md

README.md

@@ -17,4 +17,52 @@ This dataset constitutes a valuable resource for natural language processing (NL
 The test set included in the Phrases task has 1,960 examples, with the following columns:
 - id: A unique identifier for each phrase.
 - ca: The original phrase in Catalan.
-- va: The corresponding adaptation in Valencian.
+- va: The corresponding adaptation in Valencian.
+
+## Dataset Creation
+
+### Curation Rationale
+
+This dataset is aimed at promoting the development of Machine Translation
+between Valencian and Catalan, supporting research in multilingual NLP
+and facilitating the development of translation systems for these language pairs.
+
+### Source Data
+
+The parallel data in this dataset is extracted from the [Common Voice tool](https://commonvoice.mozilla.org/es).
+
+### Data Filtering and Normalization
+
+A total of 200,000 Spanish sentences extracted from the Common Voice tool were subjected to a rigorous filtering process, selecting only those with the greatest linguistic richness to ensure their usefulness in applications requiring language diversity and complexity.
+Subsequently, the selected sentences were translated from Spanish to Catalan and Valencian. 
+
+This translation process was carried out by an expert in Catalan philology, ensuring the linguistic quality and cultural accuracy of the translations in both languages. 
+
+## 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*.
+
+Additionally, this work has been funded by the VIVES: "Pla de Tecnologies de la Llengua per al valencià" project (2022/TL22/00215334) from the Projecte Estratègic per a la Recuperació i Transformació Econòmica (PERTE).
+
+## 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.
+
+
+## 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.
+
+## License
+
+This work is licensed under a [Creative Commons Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/) licence.