mteb/DBpediaClassification

DBpediaClassification数据集是一个基于英文的文本分类数据集，它包含了来自Wikipedia文章的文本，这些文本被分为14个基于DBpedia本体的非重叠类别。该数据集适用于主题分类任务，包含有训练集和测试集，每个集合中都有2048个样本。DBpediaClassification is an English-based text classification dataset consisting of texts from Wikipedia articles, categorized into 14 non-overlapping classes based on the DBpedia ontology. The dataset is suitable for topic classification tasks and includes a training set and a test set, each with 2048 samples.