ZuCo 2.0: A Dataset of Physiological Recordings During Natural Reading and Annotation
Computation and Language
2020-03-10 v3 Human-Computer Interaction
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/.
Cite
@article{arxiv.1912.00903,
title = {ZuCo 2.0: A Dataset of Physiological Recordings During Natural Reading and Annotation},
author = {Nora Hollenstein and Marius Troendle and Ce Zhang and Nicolas Langer},
journal= {arXiv preprint arXiv:1912.00903},
year = {2020}
}
Comments
Proceedings of the Language Resources and Evaluation Conference (LREC 2020)