christinacdl/hate_speech_dataset_new

44.246 texts in total, 21.493 NOT hateful texts and 22.753 HATE texts 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 ==> 17.194, 1 ==> 18.202, 35.396 in total Validation set label distribution: 0 ==> 2.150, 1 ==> 2.275, 4.425 in total Test set label distribution: 0 ==> 2.149, 1 ==> 2.276, 4.425 in total… See the full description on the dataset page: https://huggingface.co/datasets/christinacdl/hate_speech_dataset_new.