EmoRAG/EmoRAG_detect
收藏Hugging Face2025-01-22 更新2025-02-15 收录
下载链接：
https://hf-mirror.com/datasets/EmoRAG/EmoRAG_detect
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资源简介：
EmoRAG_defense恶意文本检测数据集，用于训练和评估检测包含表情符号的恶意文本的模型。该数据集通过在两个公开数据集NQ和MS-MARCO中注入1500个独特的表情符号而构建，每个数据点最多包含8个表情符号。适用于内容审核、自然语言处理流程中的对抗性文本过滤以及恶意文本检测研究。
The EmoRAG_defense malicious text detection dataset is designed for training and evaluating models to detect malicious texts containing emoticons. Constructed by injecting 1,500 unique emoticons into two publicly available datasets, NQ and MS-MARCO, each data point can contain up to eight emoticons. It is suitable for content moderation, adversarial text filtering in natural language processing pipelines, and research on malicious text detection.
提供机构：
EmoRAG
