APEACH - Korean Hate Speech Evaluation Datasets

APEACH is the first crowd-generated Korean evaluation dataset for hate speech detection. Sentences of the dataset are created by anonymous participants using an online crowdsourcing platform DeepNatural AI.

• Sample Code :

Download

You can download benchmark set APEACH. APEACH/test.csv in this repository.

Dataset Description

• APEACH : A hate-speech evaluation dataset generated in 2021, using generation method followd by APEACH paper.

Guidelines

APEACH-GUIDELINE

Topics

Lengths

Paper

• https://arxiv.org/pdf/2202.12459.pdf

Experiment Code

Experiment Results

We also share BEST model of our dataset which we trained in this experiment as checkpoint, demo webite and api.

Citation

@article{yang2022apeach,
  title={APEACH: Attacking Pejorative Expressions with Analysis on Crowd-Generated Hate Speech Evaluation Datasets},
  author={Yang, Kichang and Jang, Wonjun and Cho, Won Ik},
  journal={arXiv preprint arXiv:2202.12459},
  year={2022}
}

Contributors

The main contributors of the work ( * : equal contribution) :

• Kichang Yang* (Kakao Corp., Kakao Enterprise Corp., Soongsil University)
• Wonjun Jang* (Kakao Corp., Soongsil University)
• Won Ik Cho* (Seoul National University)

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.