Datasets:
Update README.md
Browse filesAdded APA citation format
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{
|
| 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 |
```
|