metadata
license: openrail++
datasets:
- ukr-detect/ukr-toxicity-dataset-seminatural
language:
- uk
widget:
- text: Ти неймовірна!
Binary toxicity classifier for Ukrainian
This is the fine-tuned on the semi-automatically collected Ukrainian toxicity classification dataset "xlm-roberta-base" instance.
The evaluation metrics for binary toxicity classification on a test set are:
| Metric | Value |
|---|---|
| F1-score | 0.99 |
| Precision | 0.99 |
| Recall | 0.99 |
| Accuracy | 0.99 |
How to use:
from transformers import pipeline
classifier = pipeline("text-classification",
model="ukr-detect/ukr-toxicity-classifier")
Citation
@article{dementieva2024toxicity,
title={Toxicity Classification in Ukrainian},
author={Dementieva, Daryna and Khylenko, Valeriia and Babakov, Nikolay and Groh, Georg},
journal={arXiv preprint arXiv:2404.17841},
year={2024}
}