We introduce a novel italian language resource for the study of reading and comprehension in aging populations, combining behavioural and linguistic data from healthy controls (HC), individuals with subjective cognitive decline (SCI), participants with Mild Cognitive Impairment (MCI), and patients with mild dementia (CDR1). Reading performance was recorded through a finger-tracking based application during both silent and oral reading, enabling fine-grained temporal analyses at the text, token and character level. Comprehension was assessed via multiple question types (wh-, inferential, referential, and lexical). Descriptive and non-linear regression analyses informed a feature selection process, yielding temporal and comprehension-based measures that capture individual reading dynamics. These features were explored through unsupervised clustering and supervised classification to investigate their discriminative and predictive potential across cognitive profiles. The resource supports research on reading and cognitive decline, offers a reproducible protocol for large-scale data collection, and provides a foundation for developing early cognitive screening and monitoring tools or aging populations.