datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Content-Moderation-and-Safety
🇰🇿 Content Moderation and Safety, Kazakh Context
Dataset Summary
Content Moderation and Safety (Profanity) Kazakh Context is a comprehensive dataset designed specifically to train Large Language Models (LLMs) in detecting, classifying, and mitigating toxic, aggressive, or unsafe text in the Kazakh language.
📊 Dataset Statistics
General Metrics
Metric
Count
Total Samples
17,827
Total Words (approx.)
1,674,638
Avg.… See the full description on the dataset page: https://huggingface.co/datasets/farabi-lab/Content-Moderation-and-Safety.Content_Moderation_and_Safety_Kazakh_Context
🇰🇿 Content Moderation and Safety Kazakh Context
Dataset Summary
Toxic Speech Analysis and Mitigation, Kazakh Context is an advanced AI Safety dataset designed to train Large Language Models (LLMs) to detect, deeply analyze, and constructively rewrite toxic or harmful speech in the Kazakh language.
📊 Dataset Statistics
General Metrics
Metric
Count
Total Samples
12,063
Total Words (approx.)
5,869,718
Avg. Words per… See the full description on the dataset page: https://huggingface.co/datasets/farabi-lab/Content_Moderation_and_Safety_Kazakh_Context.