A benchmark of Spanish language datasets for computationally driven research

In the domain of Galleries, Libraries, Archives and Museums (GLAM) institutions, creative innovative tools methodologies for content delivery user engagement have recently gained international attention. New methods been proposed to publish digital collections as datasets amenable computational use. Standardised benchmarks can be useful broaden scope machine-actionable promote cultural linguistic diversity. this article, we propose a methodology select computationally driven research applied Spanish text corpora. This work seeks encourage Latin American institutions based on best practices avoiding common mistakes.