Czech and English Reflective Dataset (CEReD)

Czech and English Reflective Dataset (CEReD)

LRT + Open Submissions

Authors: Štefánik, Michal and Nehyba, Jan

Item identifier: http://hdl.handle.net/11372/LRT-3573

Project URL: https://anonymous.4open.science/repository/c856595c-dfc2-48d7-aa3d-0ccc2648c4dc/data/

Demo URL: https://anonymous.4open.science/repository/c856595c-dfc2-48d7-aa3d-0ccc2648c4dc/data/sentences/en/val/sentences.tsv

Date issued: 2021-03-18

Type: corpus, text

Size: 6777 sentences

Language(s): Czech , English

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: Masaryk University, Brno

Subject(s): reflective writing reflective categories pre-service teachers hand annotation

Collection(s): LRT + Open Submissions Data & Tools

Show full item record

Files in this item

Download all files in item (2.97 MB)

This item is

Publicly Available

and licensed under:
Creative Commons - Attribution 4.0 International (CC BY 4.0)

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

Download file Preview

File Preview

sentences
- en
  - val
    - sentences.tsv-1 B
  - train
    - sentences.tsv-1 B
  - test
    - sentences.tsv-1 B
- cs
  - val
    - sentences.tsv-1 B
  - train
    - sentences.tsv-1 B
  - test
    - sentences.tsv-1 B
diaries
- cs
  - diaries.tsv-1 B
- README.md-1 B

Name: diary_stats.tsv
Size: 81.83 KB
Format: Unknown
Description: Diaries statistics. See README in the attached archive for details
MD5: a52b61537c155d28bd5d8f066161b6a3