metadata
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
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)