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@@ -119,7 +119,7 @@ pretty_name: Czech-English Reflective Dataset (CEReD)
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  # Dataset Card for Czech-English Reflective Dataset (CEReD)
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  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
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- See the project repository for more details and the [corresponding paper](https://rdcu.be/cUWGY) for more details on data curation methodology.
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  The data is available in in two types of subsets:
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@@ -164,7 +164,7 @@ For details on the taxonomy of annotated classification, we also make available
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  For the data collection methodology:
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  ```bibtex
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- @Article{Nehyba2022applications,
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  author={Nehyba, Jan and {\v{S}}tef{\'a}nik, Michal},
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  title={Applications of deep language models for reflective writings},
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  journal={Education and Information Technologies},
@@ -176,6 +176,10 @@ For the data collection methodology:
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  url={https://doi.org/10.1007/s10639-022-11254-7}
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  }
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  ```
 
 
 
 
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  For the dataset itself:
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  ```bibtex
@@ -186,4 +190,9 @@ For the dataset itself:
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  copyright = {Creative Commons - Attribution 4.0 International ({CC} {BY} 4.0)},
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  year = {2021}
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  }
 
 
 
 
 
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  ```
 
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  # Dataset Card for Czech-English Reflective Dataset (CEReD)
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  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
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+ 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.
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  The data is available in in two types of subsets:
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  For the data collection methodology:
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  ```bibtex
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+ @Article{Nehyba2023applications,
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  author={Nehyba, Jan and {\v{S}}tef{\'a}nik, Michal},
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  title={Applications of deep language models for reflective writings},
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  journal={Education and Information Technologies},
 
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  url={https://doi.org/10.1007/s10639-022-11254-7}
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  }
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  ```
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+ APA style:
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+ ```
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+ 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.
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+ ```
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  For the dataset itself:
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  ```bibtex
 
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  copyright = {Creative Commons - Attribution 4.0 International ({CC} {BY} 4.0)},
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  year = {2021}
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  }
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+ ```
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+
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+ APA style:
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+ ```
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+ Štefánik, M. & Nehyba, J. (2021). Czech-English Reflective Dataset (CEReD). (Version V1) [Data set]. GitHub. doi:11372/LRT-3573
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  ```