LatAm-RT is a culturally adaptive Red Teaming benchmark for evaluating AI safety in Latin American Spanish. It operationalizes localization intensity as an explicit experimental variable through a Layered Localization Taxonomy (LLT) with three levels of progressive cultural specificity.
The dataset contains 284 evaluation prompts across:
4 risk domains: Fraud & Exploitation · Political & Information Harm ·… See the full description on the dataset page:
https://huggingface.co/datasets/Latam26/LatAmRT.
