mteb/InappropriatenessClassificationv2
收藏Hugging Face2025-05-04 更新2025-05-31 收录
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https://hf-mirror.com/datasets/mteb/InappropriatenessClassificationv2
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资源简介：
InappropriatenessClassificationv2是一个俄语单语种数据集，用于不适当内容的二分类识别。数据集包含两个部分：训练集和测试集，每个部分各有3000个样本。数据集的特征包括文本和标签，其中文本类型为字符串，标签类型为整型。该数据集适用于文本分类任务，特别是情感分析、情感评分、情感分类和仇恨言论检测等子任务。
InappropriatenessClassificationv2 is a Russian monolingual dataset for binary classification of inappropriate content. The dataset includes two splits: a training set and a test set, each with 3000 samples. The features of the dataset include text and label, where text is of string type and label is of integer type. This dataset is suitable for text classification tasks, particularly subtasks such as sentiment analysis, sentiment scoring, sentiment classification, and hate speech detection.
提供机构：
mteb
