Thomas Davidson (TD)
收藏arXiv2025-09-30 收录
下载链接：
https://data.world/thomasrdavidson/hate-speech-and-offensive-language
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资源简介：
该数据集包含24,783个标记实例，这些实例被分为三个类别：“仇恨言论”、“攻击性言论”和“非攻击性言论”。该数据集利用Twitter API收集含有特定仇恨词汇的句子构建而成。此外，该数据集专注于区分不同类型的攻击性语言。规模上，数据集共有24,783个实例，其任务旨在检测仇恨言论。
This dataset contains 24,783 labeled instances, which are categorized into three classes: "hate speech", "offensive speech", and "non-offensive speech". This dataset is constructed by collecting sentences containing specific hate terms via the Twitter API. Furthermore, this dataset focuses on differentiating between different types of offensive language. In terms of scale, the dataset comprises 24,783 instances, and its core task is hate speech detection.
提供机构：
Thomas Davidson et al.
