Update README.md

README.md

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+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](https://arxiv.org/pdf/2207.04672.pdf))
+
 Dataset formation:
-1. Filtering Ukrainian tweets so that only tweets containing toxic language remain. Source of Ukrainian data: https://github.com/saganoren/ukr-twi-corpus
+1. Filtering Ukrainian tweets so that only tweets containing toxic language remain with toxic keywords. Source of Ukrainian 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.