Datasets:

Modalities:
Tabular
Text
Formats:
parquet
Libraries:
Datasets
pandas
License:
michal-stefanik commited on
Commit
9589768
1 Parent(s): c8088f9

Update README.md

Browse files

Added APA citation format

Files changed (1) hide show
  1. README.md +11 -2
README.md CHANGED
@@ -119,7 +119,7 @@ pretty_name: Czech-English Reflective Dataset (CEReD)
119
  # Dataset Card for Czech-English Reflective Dataset (CEReD)
120
 
121
  This directory contains an anonymized data set of separated sentences and original reflective journals collected within the Reflection Classification project: https://github.com/EduMUNI/reflection-classification
122
- See the project repository for more details and the [corresponding paper](https://rdcu.be/cUWGY) for more details on data curation methodology.
123
 
124
  The data is available in in two types of subsets:
125
 
@@ -164,7 +164,7 @@ For details on the taxonomy of annotated classification, we also make available
164
 
165
  For the data collection methodology:
166
  ```bibtex
167
- @Article{Nehyba2022applications,
168
  author={Nehyba, Jan and {\v{S}}tef{\'a}nik, Michal},
169
  title={Applications of deep language models for reflective writings},
170
  journal={Education and Information Technologies},
@@ -176,6 +176,10 @@ For the data collection methodology:
176
  url={https://doi.org/10.1007/s10639-022-11254-7}
177
  }
178
  ```
 
 
 
 
179
 
180
  For the dataset itself:
181
  ```bibtex
@@ -186,4 +190,9 @@ For the dataset itself:
186
  copyright = {Creative Commons - Attribution 4.0 International ({CC} {BY} 4.0)},
187
  year = {2021}
188
  }
 
 
 
 
 
189
  ```
 
119
  # Dataset Card for Czech-English Reflective Dataset (CEReD)
120
 
121
  This directory contains an anonymized data set of separated sentences and original reflective journals collected within the Reflection Classification project: https://github.com/EduMUNI/reflection-classification
122
+ See the [project repository](https://github.com/EduMUNI/reflection-classification) for more details and the [corresponding paper](https://rdcu.be/cUWGY) for more details on data curation methodology.
123
 
124
  The data is available in in two types of subsets:
125
 
 
164
 
165
  For the data collection methodology:
166
  ```bibtex
167
+ @Article{Nehyba2023applications,
168
  author={Nehyba, Jan and {\v{S}}tef{\'a}nik, Michal},
169
  title={Applications of deep language models for reflective writings},
170
  journal={Education and Information Technologies},
 
176
  url={https://doi.org/10.1007/s10639-022-11254-7}
177
  }
178
  ```
179
+ APA style:
180
+ ```
181
+ Nehyba, Jan & Štefánik, Michal. (2022). Applications of deep language models for reflective writings. Education and Information Technologies. 28. 1-39. 10.1007/s10639-022-11254-7.
182
+ ```
183
 
184
  For the dataset itself:
185
  ```bibtex
 
190
  copyright = {Creative Commons - Attribution 4.0 International ({CC} {BY} 4.0)},
191
  year = {2021}
192
  }
193
+ ```
194
+
195
+ APA style:
196
+ ```
197
+ Štefánik, M. & Nehyba, J. (2021). Czech-English Reflective Dataset (CEReD). (Version V1) [Data set]. GitHub. doi:11372/LRT-3573
198
  ```