mteb/XNLIV2

该数据集包含多种语言（如阿萨姆语、孟加拉语、博杰普尔语、希腊语、古吉拉特语、卡纳达语、马拉地语、奥里亚语、旁遮普语、俄语、梵语、泰米尔语和土耳其语）的句子对（sentence1和sentence2）以及对应的标签（labels）。每个语言的数据集都包含一个测试集（test），用于评估模型在不同语言上的表现。数据集的特征表明它可能用于句子对分类任务，如自然语言推理或语义相似度判断。

This dataset contains sentence pairs (sentence1 and sentence2) and corresponding labels (labels) in multiple languages (such as Assamese, Bengali, Bhojpuri, Greek, Gujarati, Kannada, Marathi, Odia, Punjabi, Russian, Sanskrit, Tamil, and Turkish). Each languages dataset includes a test set (test) for evaluating model performance across different languages. The features of the dataset suggest that it may be used for sentence pair classification tasks, such as natural language inference or semantic similarity judgment.