Czech and English Reflective Dataset (CEReD)

Czech and English Reflective Dataset (CEReD)

LRT + Open Submissions

Autoři: Štefánik, Michal and Nehyba, Jan

Identifikátor: http://hdl.handle.net/11372/LRT-3573

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

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

Datum vydání: 2021-03-18

Typ: corpus, text

Velikost: 6777 sentences

Jazyky: Czech , English

Popis: 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

Nakladatel: Masaryk University, Brno

Klíčová slova: reflective writing reflective categories pre-service teachers hand annotation

Kolekce: LRT + Open Submissions Data & Tools

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Licenční kategorie:

Publicly Available

Licence: Creative Commons - Attribution 4.0 International (CC BY 4.0)

Název: CEReD.zip
Velikost: 2.89 MB
Formát: application/zip
Popis: Archive containing Czech and English reflective sentences for classification, together with its original reflective diaries.
MD5: a583d362b9116dfec46eee120b878838

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Náhled souboru

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

Název: diary_stats.tsv
Velikost: 81.83 KB
Formát: Neznámý
Popis: Diaries statistics. See README in the attached archive for details
MD5: a52b61537c155d28bd5d8f066161b6a3

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