README.md

metadata

license: openrail++
dataset_info:
  features:
    - name: text
      dtype: string
    - name: tags
      dtype: float64
  splits:
    - name: train
      num_bytes: 2105604
      num_examples: 12682
    - name: validation
      num_bytes: 705759
      num_examples: 4227
    - name: test
      num_bytes: 710408
      num_examples: 4214
  download_size: 2073133
  dataset_size: 3521771
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*

Ukrainian Toxicity Dataset

This is the first of its kind toxicity classification dataset for the Ukrainian language.

Due to the subjective nature of toxicity, definitions of toxic language will vary. We include items that are commonly referred to as vulgar or profane language. (NLLB paper)

Dataset formation:

1. Filtering Ukrainian tweets so that only tweets containing toxic language remain with toxic keywords. Source data: https://github.com/saganoren/ukr-twi-corpus
2. Non-toxic sentences were obtained from a previous dataset of tweets as well as sentences from news and fiction from UD Ukrainian IU: https://universaldependencies.org/treebanks/uk_iu/index.html
3. After that, the dataset was split into a train-test-val and all data were balanced both by the toxic/non-toxic criterion and by data source.

Labels: 0 - non-toxic, 1 - toxic.

Load dataset:

from datasets import load_dataset
dataset = load_dataset("ukr-detect/ukr-toxicity-dataset")