OCW

该数据集包含了从麻省理工学院开放课程网站（MIT OCW）YouTube频道收集的288节数学课程讲义和15,784条评论，旨在研究学生反馈并改进教学技巧。该数据集能够识别模型标注中的常见错误模式，并提供了学生在哪些方面感到困难的见解，这对于完善教学内容非常有帮助。数据规模涉及288份讲义和15,784条评论，任务包括分析讲座评论中的学生反馈以及评估模型标注的准确性。

This dataset includes 288 mathematics course lecture notes and 15,784 comments collected from the MIT OCW YouTube channel. It is developed to study student feedback and enhance teaching practices. This dataset can detect common error patterns in model annotations, and provides actionable insights into the areas where students face difficulties, which is highly valuable for refining teaching content. With a total scale of 288 lecture notes and 15,784 comments, the supported tasks of this dataset involve analyzing student feedback from lecture comments and evaluating the accuracy of model annotations.