marcov/super_glue_cb_promptsource

该数据集主要用于自然语言处理任务，特别是文本蕴含识别任务。数据集包含前提和假设两个文本字段，以及一个标签字段，用于指示前提和假设之间的关系是蕴含、矛盾还是中性。此外，数据集还包含模板名称、模板、渲染输入和渲染输出等字段，可能用于生成或处理文本数据。数据集被分为训练集、验证集和测试集，分别用于模型的训练、验证和测试。

This dataset is primarily used for natural language processing tasks, particularly for textual entailment recognition. It includes two text fields: premise and hypothesis, along with a label field that indicates whether the relationship between the premise and hypothesis is entailment, contradiction, or neutral. Additionally, the dataset contains fields such as template name, template, rendered input, and rendered output, which may be used for generating or processing text data. The dataset is divided into training, validation, and test sets, which are used for model training, validation, and testing, respectively.