Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Languages:
Korean
Size:
10K - 100K
ArXiv:
License:
{"default":{"description":"Korean Hate Speech Evaluation Datasets : trained with beep! and evaluate with APEACH","citation":"@article{yang2022apeach,\n title={APEACH: Attacking Pejorative Expressions with Analysis on Crowd-Generated Hate Speech Evaluation Datasets},\n author={Yang, Kichang and Jang, Wonjun and Cho, Won Ik},\n journal={arXiv preprint arXiv:2202.12459},\n year={2022}\n}","homepage":"","license":"Creative Commons","features":{"text":{"dtype":"string","id":null,"_type":"Value"},"class":{"num_classes":2,"names":["Default","Spoiled"],"names_file":null,"id":null,"_type":"ClassLabel"}},"post_processed":null,"supervised_keys":null,"task_templates":null,"builder_name":"csv","config_name":"APEACH","version":{"version_str":"0.0.1","description":null,"major":0,"minor":0,"patch":0},"splits":{"train":{"name":"train","num_bytes":880921,"num_examples":7896,"dataset_name":"csv"},"test":{"name":"test","num_bytes":389114,"num_examples":3770,"dataset_name":"csv"}},"download_size":1201216,"post_processing_size":null,"dataset_size":1270035,"size_in_bytes":2471251}} |