Multi-Perspective Question Answering (MPQA)

Multi-Perspective Question Answering is an imbalanced dataset of opinion polarity detection task. This dataset contains news documents from many sources and it was classified into positive and negative classes. The files:<br> texts.txt: Document set (text). One per line.<br> score.txt: Document class whose index is associated with texts.txt<br> split_&lt;k&gt;.pkl: pandas DataFrame with k-cross validation partition.

多视角问答（Multi-Perspective Question Answering）是面向观点极性检测任务的不平衡数据集。该数据集收录了多来源的新闻文档，并将这些文档划分为正、负两个类别。数据集包含以下文件：<br>texts.txt：文档集合（文本格式），每行存储一篇文档；<br>score.txt：文档类别标签文件，其索引与texts.txt中的文档一一对应；<br>split_<k>.pkl：存储k折交叉验证划分结果的pandas数据框（DataFrame）。