Update README.md

README.md

@@ -10,9 +10,9 @@ language:
 - All duplicate values were removed
 - Split using sklearn into 80% train and 20% temporary test (stratified label). Then split the test set using 0.50% test and validation (stratified label)
 - Split: 80/10/10
-- Train set label distribution: 0 ==> 11.210, 1 ==> 14.853
-- Validation set label distribution: 0 ==> 1.401, 1 ==> 1.857 
-- Test set label distribution: 0 ==> 1.401, 1 ==> 1.857
+- Train set label distribution: 0 ==> 11.210, 1 ==> 14.853,  2.6063 in total
+- Validation set label distribution: 0 ==> 1.401, 1 ==> 1.857,  3.258 in total
+- Test set label distribution: 0 ==> 1.401, 1 ==> 1.857,  3.258 in total
 - Combination of 4 publicly available datasets:
 - 1. "Ethos" dataset (Mollas et al., 2022)
 - 2. HateCheck: Functional Tests for Hate Speech Detection Models (Rottger et al., 2021)