marcov/health_fact_promptsource

该数据集包含多个特征，如声明ID、声明内容、发布日期、解释、事实核查者、主要文本、来源、标签、主题、模板名称、模板、渲染输入和渲染输出。标签字段是一个分类标签，包含四个类别：假、混合、真和未证实。数据集分为训练集、测试集和验证集，分别包含49160、6175和6125个样本。

This dataset includes multiple features such as claim ID, claim content, date published, explanation, fact checkers, main text, sources, label, subjects, template name, template, rendered input, and rendered output. The label field is a classification label with four categories: false, mixture, true, and unproven. The dataset is divided into training, test, and validation sets, containing 49160, 6175, and 6125 samples respectively.