Reading time data for evaluating broad-coverage models of English sentence processing

We make available word-by-word self-paced reading times and eye-tracking data over a sample of English sentences from narrative sources. These data are intended to form a gold standard for the evaluation of computational psycholinguistic models of sentence comprehension in English. We describe stimuli selection and data collection and present descriptive statistics, as well as comparisons between the two sets of reading times.