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dc.contributor.author Štefánik, Michal
dc.contributor.author Nehyba, Jan
dc.date.accessioned 2021-03-19T08:21:13Z
dc.date.available 2021-03-19T08:21:13Z
dc.date.issued 2021-03-18
dc.identifier.uri http://hdl.handle.net/11372/LRT-3573
dc.description The database contains annotated reflective sentences, which fall into the categories of reflective writing according to Ullmann's (2019) model. The dataset is ready to replicate these categories' prediction using machine learning. Available from: https://anonymous.4open.science/repository/c856595c-dfc2-48d7-aa3d-0ccc2648c4dc/data
dc.language.iso eng
dc.language.iso ces
dc.publisher Masaryk University, Brno
dc.rights Creative Commons - Attribution 4.0 International (CC BY 4.0)
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.source.uri https://anonymous.4open.science/repository/c856595c-dfc2-48d7-aa3d-0ccc2648c4dc/data/
dc.subject reflective writing
dc.subject reflective categories
dc.subject pre-service teachers
dc.subject hand annotation
dc.title Czech and English Reflective Dataset (CEReD)
dc.type corpus
metashare.ResourceInfo#ContentInfo.mediaType text
dc.rights.label PUB
has.files yes
branding LRT + Open Submissions
demo.uri https://anonymous.4open.science/repository/c856595c-dfc2-48d7-aa3d-0ccc2648c4dc/data/sentences/en/val/sentences.tsv
contact.person Michal Štefánik stefanik.m@mail.muni.cz Masaryk University, Brno
sponsor Masarykova univerzita MUNI/A/1238/2019 Analýza reflektivních deníků studentů učitelství nationalFunds
size.info 6777 sentences
files.size 3119186
files.count 2


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CEReD.zip
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2.89 MB
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application/zip
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Archive containing Czech and English reflective sentences for classification, together with its original reflective diaries.
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a583d362b9116dfec46eee120b878838
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diary_stats.tsv
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81.83 KB
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Diaries statistics. See README in the attached archive for details
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a52b61537c155d28bd5d8f066161b6a3
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Zobrazit minimální záznam