tasksource/hans

这是一个文本蕴含（Textual Entailment）数据集，用于自然语言处理任务。数据集包含句子对（sentence1和sentence2），每个对都有一个标签，指示sentence1是否蕴含sentence2。标签分为两类：entailment（蕴含）和non-entailment（非蕴含）。数据集被分为训练集（30,000个示例）、验证集（15,000个示例）和测试集（15,000个示例），总大小约为6.04 MB。它适用于文本分类、推理和语义分析任务。

This is a Textual Entailment dataset for natural language processing tasks. It contains sentence pairs (sentence1 and sentence2), each labeled to indicate whether sentence1 entails sentence2. The labels are categorized into two classes: entailment and non-entailment. The dataset is split into training (30,000 examples), validation (15,000 examples), and test (15,000 examples) sets, with a total size of approximately 6.04 MB. It is suitable for text classification, inference, and semantic analysis tasks.