DERCo: A Dataset for Human Behaviour in Reading Comprehension Using EEG.

ABSTRACT: This paper introduces the DERCo (Dublin EEG-based Reading Experiment Corpus), a language resource combining electroencephalography (EEG) and next-word prediction data obtained from participants reading narrative texts. The dataset comprises behavioral data collected from 500 participants recruited through the Amazon Mechanical Turk online crowd-sourcing platform, along with EEG recordings from 22 healthy adult native English speakers. The online experiment was designed to examine the context-based word prediction by a large sample of participants, while the EEG-based experiment was developed to extend the validation of behavioral next-word predictability. Online participants were instructed to predict upcoming words and complete entire stories. Cloze probabilities were then calculated for

SUBMITTER: Quach BM 

PROVIDER: S-EPMC11464549 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature