aisingapore/NLU-Toxicity-Detection
收藏Hugging Face2024-12-20 更新2025-05-31 收录
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https://hf-mirror.com/datasets/aisingapore/NLU-Toxicity-Detection
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资源简介：
SEA Toxicity Detection数据集用于评估模型在识别文本中的毒性内容，如仇恨言论和虐待性语言的能力。该数据集从MLHSD、TTD和ViHSD三个来源采样，涵盖了印度尼西亚语、泰语和越南语三种语言。每个语言都有1000个示例的完整数据集和5个示例的fewshot版本，总共包含3015个示例。数据集适用于评估聊天或指令调整的大型语言模型(LLM)。
SEA Toxicity Detection dataset is designed to evaluate the models ability to identify toxic content such as hate speech and abusive language in text. The dataset is sampled from MLHSD, TTD, and ViHSD, covering three languages: Indonesian, Thai, and Vietnamese. Each language has a full dataset with 1000 examples and a few-shot version with 5 examples, totaling 3015 examples. The dataset is suitable for evaluating chat or instruction-tuned large language models (LLMs).
提供机构：
aisingapore
