ZuCo 2.0: A Dataset of Physiological Recordings During Natural Reading and Annotation
This provides a dataset for cognitive science and NLP researchers to study differences in processing, but it is incremental as it builds on ZuCo 1.0.
The researchers tackled the lack of physiological data for comparing natural reading and annotation by recording ZuCo 2.0, a dataset of eye-tracking and EEG from 18 participants across 739 sentences, resulting in a freely available resource.
We recorded and preprocessed ZuCo 2.0, a new dataset of simultaneous eye-tracking and electroencephalography during natural reading and during annotation. This corpus contains gaze and brain activity data of 739 sentences, 349 in a normal reading paradigm and 390 in a task-specific paradigm, in which the 18 participants actively search for a semantic relation type in the given sentences as a linguistic annotation task. This new dataset complements ZuCo 1.0 by providing experiments designed to analyze the differences in cognitive processing between natural reading and annotation. The data is freely available here: https://osf.io/2urht/.