Czech and English Reflective Dataset (CEReD)

PID

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

Identifier
PID	http://hdl.handle.net/11372/LRT-3573
Related Identifier	https://anonymous.4open.science/repository/c856595c-dfc2-48d7-aa3d-0ccc2648c4dc/data/
Metadata Access	http://lindat.mff.cuni.cz/repository/oai/request?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai:lindat.mff.cuni.cz:11372/LRT-3573

Provenance
Creator	Štefánik, Michal; Nehyba, Jan
Publisher	Masaryk University, Brno
Publication Year	2021
Rights	Creative Commons - Attribution 4.0 International (CC BY 4.0); http://creativecommons.org/licenses/by/4.0/; PUB
OpenAccess	true
Contact	lindat-help(at)ufal.mff.cuni.cz

Representation
Language	English; Czech
Resource Type	corpus
Format	application/zip; application/octet-stream; downloadable_files_count: 2
Discipline	Linguistics