--- annotations_creators: - expert-generated - machine-generated language_creators: - expert-generated language: - eu license: - other multilinguality: - monolingual size_categories: - 1K The dataset may be freely used for any purpose, although acknowledgement of Google LLC ("Google") as the data source would be appreciated. The dataset is provided "AS IS" without any warranty, express or implied. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset. ### Citation Information ``` @inproceedings{baucells-etal-2025-iberobench, title = "{I}bero{B}ench: A Benchmark for {LLM} Evaluation in {I}berian Languages", author = "Baucells, Irene and Aula-Blasco, Javier and de-Dios-Flores, Iria and Paniagua Su{\'a}rez, Silvia and Perez, Naiara and Salles, Anna and Sotelo Docio, Susana and Falc{\~a}o, J{\'u}lia and Saiz, Jose Javier and Sepulveda Torres, Robiert and Barnes, Jeremy and Gamallo, Pablo and Gonzalez-Agirre, Aitor and Rigau, German and Villegas, Marta", editor = "Rambow, Owen and Wanner, Leo and Apidianaki, Marianna and Al-Khalifa, Hend and Eugenio, Barbara Di and Schockaert, Steven", booktitle = "Proceedings of the 31st International Conference on Computational Linguistics", month = jan, year = "2025", address = "Abu Dhabi, UAE", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/2025.coling-main.699/", pages = "10491--10519", } ```