IberBench is hub comprised of datasets for languages across Iberian and Latin American regions, aimed to be used as a benchmark to evaluate causal language models. This initiative aims to enrich the Natural Language Processing (NLP) community in the Iberian Peninsula and Latin America. 

The benchmark enables the evaluation of NLP models in multiple Spanish variants and other languages such as Catalan, Galician, Basque, Portuguese, and Latin American Spanish, fostering assessments and developments that reflect the linguistic diversity of these regions. 

We hope to drive multilingual research that considers the cultural and linguistic richness and complexity of the Spanish-speaking world, encouraging the creation of models that are truly representative of these realities.