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

Nora Hollenstein, Marius Troendle, Ce Zhang, Nicolas Langer

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 English 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/.
Anthology ID:
2020.lrec-1.18
Volume:
Proceedings of the Twelfth Language Resources and Evaluation Conference
Month:
May
Year:
2020
Address:
Marseille, France
Editors:
Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
138–146
Language:
English
URL:
https://aclanthology.org/2020.lrec-1.18
DOI:
Bibkey:
Cite (ACL):
Nora Hollenstein, Marius Troendle, Ce Zhang, and Nicolas Langer. 2020. ZuCo 2.0: A Dataset of Physiological Recordings During Natural Reading and Annotation. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 138–146, Marseille, France. European Language Resources Association.
Cite (Informal):
ZuCo 2.0: A Dataset of Physiological Recordings During Natural Reading and Annotation (Hollenstein et al., LREC 2020)
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https://preview.aclanthology.org/naacl-24-ws-corrections/2020.lrec-1.18.pdf
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