Czech and English Reflective Dataset (CEReD)
Please use the following text to cite this item or export to a predefined format:
Štefánik, Michal and Nehyba, Jan, 2021,
Czech and English Reflective Dataset (CEReD), LINDAT/CLARIAH-CZ digital library at the Institute of Formal and Applied Linguistics (ÚFAL),
http://hdl.handle.net/11372/LRT-3573.
Authors
Item identifier
Date issued
2021-03-18
Size
6777 sentences
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
Publisher
Acknowledgement
Masarykova univerzita
Project code:MUNI/A/1238/2019
Project name:Analýza reflektivních deníků studentů učitelství
Collections
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Files in this item
- Name
- CEReD.zip
- Size
- 2.89 MB
- Format
- application/zip
- Description
- Archive containing Czech and English reflective sentences for classification, together with its original reflective diaries.
- MD5
- a583d362b9116dfec46eee120b878838
- Name
- diary_stats.tsv
- Size
- 81.83 KB
- Format
- application/octet-stream
- Description
- Diaries statistics. See README in the attached archive for details
- MD5
- a52b61537c155d28bd5d8f066161b6a3
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