Update README.md

README.md

@@ -32,4 +32,10 @@ configs:
 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
 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.
+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: 
+```
+from datasets import load_dataset
+dataset = load_dataset("ukr-detect/ukr-toxicity-dataset") 
+```