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dc.contributor.author
Hollenstein, Nora
dc.contributor.author
Rotsztejn, Jonathan
dc.contributor.author
Troendle, Marius
dc.contributor.author
Pedroni, Andreas
dc.contributor.author
Zhang, Ce
dc.contributor.author
Langer, Nicolas
dc.date.accessioned
2019-01-16T12:21:23Z
dc.date.available
2018-12-26T03:29:04Z
dc.date.available
2019-01-16T12:21:23Z
dc.date.issued
2018-12-11
dc.identifier.issn
2052-4463
dc.identifier.other
10.1038/sdata.2018.291
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/313239
dc.identifier.doi
10.3929/ethz-b-000313239
dc.description.abstract
We present the Zurich Cognitive Language Processing Corpus (ZuCo), a dataset combining electroencephalography (EEG) and eye-tracking recordings from subjects reading natural sentences. ZuCo includes high-density EEG and eye-tracking data of 12 healthy adult native English speakers, each reading natural English text for 4–6 hours. The recordings span two normal reading tasks and one task-specific reading task, resulting in a dataset that encompasses EEG and eye-tracking data of 21,629 words in 1107 sentences and 154,173 fixations. We believe that this dataset represents a valuable resource for natural language processing (NLP). The EEG and eye-tracking signals lend themselves to train improved machine-learning models for various tasks, in particular for information extraction tasks such as entity and relation extraction and sentiment analysis. Moreover, this dataset is useful for advancing research into the human reading and language understanding process at the level of brain activity and eye-movement.
en_US
dc.format
application/pdf
dc.language.iso
en
en_US
dc.publisher
Nature
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.title
ZuCo, a simultaneous EEG and eye-tracking resource for natural sentence reading
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
ethz.journal.title
Scientific Data
ethz.journal.volume
5
en_US
ethz.journal.abbreviated
Sci Data
ethz.pages.start
180291
en_US
ethz.size
13 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.publication.place
London
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02663 - Institut für Computing Platforms / Institute for Computing Platforms::09588 - Zhang, Ce (ehemalig) / Zhang, Ce (former)
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02663 - Institut für Computing Platforms / Institute for Computing Platforms::09588 - Zhang, Ce (ehemalig) / Zhang, Ce (former)
ethz.date.deposited
2018-12-26T03:29:05Z
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2019-01-16T12:21:32Z
ethz.rosetta.lastUpdated
2024-02-02T06:57:50Z
ethz.rosetta.versionExported
true
ethz.COinS
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