Update README.md

README.md

@@ -33,12 +33,12 @@ This is the first of its kind toxicity classification dataset for the Ukrainian
 
 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 with toxic keywords. Source of Ukrainian data: https://github.com/saganoren/ukr-twi-corpus
+## 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.
 
-Load dataset: 
+## Load dataset: 
 ```
 from datasets import load_dataset
 dataset = load_dataset("ukr-detect/ukr-toxicity-dataset")