教育领域题目智能标注算法训练模型数据

该数据以试卷智能切题解决方案为载体，结合教师的需求制定数据搜集以及标注规范，对线上数据进行回收、筛选、分类、清洗并标注之后，可用于深度学习模型训练开发，经过训练的模型最终以云端服务或者边缘端算法方案集成到解决方案内，可实现对试卷题目的精准切分，提高题目切分准确度。

This dataset takes the intelligent exam paper question-segmentation solution as its carrier. We formulate data collection and annotation specifications based on the needs of teachers. After online data is collected, screened, classified, cleaned and annotated, the dataset can be used for the training and development of deep learning models. The trained model is finally integrated into the solution via cloud services or edge-side algorithm schemes, enabling accurate segmentation of exam paper questions and improving the accuracy of question segmentation.