--- language: - ar - fr - en - zh - ka - de - hi - id - ga - it - ko - mn - fa - pt - ru - es - tr - ur multilinguality: - multilingual configs: - config_name: Multilingual_train data_files: - split: train path: "MultiLanguageTrainDataset.csv" - config_name: Arabic_test data_files: - split: test path: "Arabic_test.csv" - config_name: Chinese_test data_files: - split: test path: "Chinese_test.csv" - config_name: English_test data_files: - split: test path: "English_test.csv" - config_name: French_test data_files: - split: test path: "French_test.csv" - config_name: Georgian_test data_files: - split: test path: "GeorgianTranslatedHateSpeech.csv" - config_name: German_test data_files: - split: test path: "German_test.csv" - config_name: Hindi_test data_files: - split: test path: "HindiTranslatedHateSpeech.csv" - config_name: Indonesian_test data_files: - split: test path: "Indonesian_test.csv" - config_name: Irish_test data_files: - split: test path: "IrishTranslatedHateSpeech.csv" - config_name: Italian_test data_files: - split: test path: "Italian_test.csv" - config_name: Korean_test data_files: - split: test path: "Korean_test.csv" - config_name: Mangolian_test data_files: - split: test path: "MangolianTranslatedHateSpeech.csv" - config_name: Persian_test data_files: - split: test path: "PersianTranslatedHateSpeech.csv" - config_name: Porto_test data_files: - split: test path: "Porto_test.csv" - config_name: Rurdu_test data_files: - split: test path: "Rurdu_test.csv" - config_name: Russian_test data_files: - split: test path: "Russian_test.csv" - config_name: Spain_test data_files: - split: test path: "Spain_test.csv" - config_name: Turkish_test data_files: - split: test path: "Turkish_test.csv" - config_name: Urdu_test data_files: - split: test path: "UrduTranslatedHateSpeech.csv" --- > [!NOTE] > Dataset origin: https://www.kaggle.com/datasets/wajidhassanmoosa/multilingual-hatespeech-dataset ## Description This dataset contains hate speech text with labels where 0 represents non-hate and 1 shows hate texts also the data from different languages needed to be identified as a corresponding correct language. The following are the languages in the dataset with the numbers corresponding to that language. (1 Arabic)(2 English)(3 Chinese)(4 French) (5 German) (6 Russian)(7 Turkish) (8 Roman Hindi/Urdu) (9 Korean)(10 Italian) (11 Spanish)(12 Portuguese) (13 Indonesian)