DT4LM/gpt2-rte_pair_leap

该数据集包含用于自然语言处理任务的结构化数据，主要特征包括前提（premise）、假设（hypothesis）和标签（label）。前提和假设为字符串类型，标签为整型。数据集仅包含训练集，共有14个样本，数据大小为4318字节。

This dataset contains structured data for natural language processing tasks, with main features including premise, hypothesis, and label. The premise and hypothesis are of string type, while the label is of integer type. The dataset includes only a training set, consisting of 14 samples with a data size of 4318 bytes.