2023/08/29 by Stefan L. Frank, Anna Aumeistere · 1 voice · 1 citation
Computer Science · Neuroscience · #EEG and Brain-Computer Interfaces #Gaze Tracking and Assistive Technology #Neurobiology of Language and Bilingualism
paper · pdf · doi:10.1007/s10579-023-09684-x
openalex publication_date 2023/08/29 · openalex created_date 2023/08/30 · openalex updated_date 2026/08/01
Abstract We present the Radboud Coregistration Corpus of Narrative Sentences (RaCCooNS), the first freely available corpus of eye-tracking-with-EEG data collected while participants read narrative sentences in Dutch. The corpus is intended for studying human sentence comprehension and for evaluating the cognitive validity of computational language models. RaCCooNS contains data from 37 participants (3 of which eye tracking only) reading 200 Dutch sentences each. Less predictable words resulted in significantly longer reading times and larger N400 sizes, replicating well-known surprisal effects in eye tracking and EEG simultaneously. We release the raw eye-tracking data, the preprocessed eye-tracking data at the fixation, word, and trial levels, the raw EEG after merger with eye-tracking data, and the preprocessed EEG data both before and after ICA-based ocular artifact correction.