ZuCo 2.0: A Dataset of Physiological Recordings During Natural Reading and Annotation

TL;DR

ZuCo 2.0 is a comprehensive dataset capturing eye-tracking and EEG data during natural reading and annotation tasks, enabling analysis of cognitive processes involved in language comprehension and annotation activities.

Contribution

This paper introduces ZuCo 2.0, a new dataset with synchronized eye-tracking and EEG recordings during natural reading and annotation, expanding previous datasets with more diverse experimental paradigms.

Findings

Differences in cognitive processing between natural reading and annotation.

Availability of a large, multimodal dataset for linguistic and cognitive research.

Insights into eye-movement and brain activity patterns during reading tasks.

Abstract

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/.