Fact-checking binary classification task dataset

The dataset contains Manufacturing domain-specific sentences, labeled as correct or incorrect based on Facts, collected from questions at the end of Fundamentals of Modern Manufacturing textbook. This dataset could be used for training a classifier to predict true or false sentences, entirely based on Manufacturing knowledge. Out of all sentences in the dataset, 690 are correct, representing 37% of the overall data, and 1178 are incorrect sentences.该数据集包含制造业领域专属语句，所有语句均依据事实被标记为正确或错误，采集自《现代制造基础（Fundamentals of Modern Manufacturing）》教材的课后习题。本数据集可用于训练分类器，使其仅基于制造业领域知识实现语句真伪的分类预测。数据集中的全部语句中，690条为正确语句，占总数据量的37%，剩余1178条为错误语句。