# Polish CBD

### Paper
Title: `Expert-Annotated Dataset to Study Cyberbullying in Polish Language`

https://www.mdpi.com/2306-5729/9/1/1

### Description

The Cyberbullying Detection task was part of 2019 edition of PolEval competition. 
The goal is to predict if a given Twitter message contains a cyberbullying (harmful) content.
Its revision in 2023 was the first publically available expert-annotated dataset containing 
annotations of cyberbullying and hate-speech in Polish language.


### Citation

```
@article{ptaszynski2023expert,
    title={Expert-Annotated Dataset to Study Cyberbullying in Polish Language},
    author={Ptaszynski, Michal and Pieciukiewicz, Agata and Dybala, Pawel and Skrzek, Pawel and Soliwoda, Kamil and Fortuna, Marcin and Leliwa, Gniewosz and Wroczynski, Michal},
    journal={Data},
    volume={9},
    number={1},
    pages={1},
    year={2023},
    publisher={MDPI}
}
```
```
@article{ptaszynski2019results,
    title={Results of the PolEval 2019 Shared Task 6: First Dataset and Open Shared Task for Automatic Cyberbullying Detection in Polish Twitter},
    author={Ptaszynski, Michal and Pieciukiewicz, Agata and Dyba{\l}a, Pawe{\l}},
    journal={Proceedings of the PolEval 2019 Workshop},
    publisher={Institute of Computer Science, Polish Academy of Sciences},
    pages={89},
    year={2019}
}
```
