Update README.md

README.md

@@ -1,3 +1,89 @@
 ---
 license: cc-by-4.0
+task_categories:
+- translation
+language:
+- va
+- en
+size_categories:
+- 100K<n<1M
 ---
+
+# UV_PARALLEL_VA_EN Dataset
+
+## Dataset Summary
+
+**UV_PARALLEL_VA_EN** is a parallel dataset for machine translation between **Valencian (VA)** and **English (EN)**.  
+It consists of aligned sentence pairs along with the source file from which each pair was extracted.  
+The dataset is intended for research in machine translation, cross-lingual NLP, and linguistic analysis.
+
+## Dataset Structure
+
+Each row in the dataset includes the following fields:
+
+- **VA**: A sentence in Valencian.  
+- **EN**: The corresponding English translation.  
+- **Source**: The file from which the parallel sentence pair was obtained.
+
+## Dataset Creation
+
+### Curation Rationale
+
+This dataset is aimed at promoting the development of Machine Translation
+between Valencian and English, 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 web news published by the [Universitat de València](https://www.uv.es/).
+All sentence pairs originate from publicly available articles on the university's official communication channels.
+
+### Data Filtering and Normalization
+
+All data underwent rigorous filtering and normalization:
+- **Alignment filtering**: Sentence- and paragraph-level alignments were calculated with the [`gplsi
+translation-alignment` tool](https://github.com/gplsi/translation-alignment).
+- **Language identification**: Valencian documents are filtered using a private discriminative tool to differentiate them from Catalan.
+- **Deduplication:** The filtered datasets were deduplicated to remove redundant sentence pairs
+
+The filtered and normalized datasets were then concatenated to form the final corpus.
+
+## 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*.
+
+<!-- ## 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. -->
+
+## Reference
+
+Please cite this dataset using the following BibTeX entry:
+
+```bibtex
+@misc{uv_parallel_va_en_2026,
+  author       = {Espinosa Zaragoza, Sergio and Sep{\'u}lveda Torres, Robiert and Mu{\~n}oz Guillena, Rafael and Consuegra-Ayala, Juan Pablo},
+  title        = {UV\_PARALLEL\_VA\_EN 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/uv_parallel_va_en}}
+}
+```
+
+## 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.