marcov/sem_eval_2010_task_8_promptsource

该数据集包含多个特征，主要关注句子之间的关系分类。关系类型包括因果关系、部分整体关系、内容容器关系、实体目的地关系、实体起源关系、工具代理关系、成员集合关系、消息主题关系、产品生产者关系以及其他类型。数据集分为训练集和测试集，训练集包含40000个例子，测试集包含13585个例子。数据集的总下载大小为10773922字节，数据集总大小为47537004字节。

This dataset includes multiple features, focusing on the classification of relationships between sentences. The relationship types include Cause-Effect, Component-Whole, Content-Container, Entity-Destination, Entity-Origin, Instrument-Agency, Member-Collection, Message-Topic, Product-Producer, and Other. The dataset is divided into a training set and a test set, with the training set containing 40,000 examples and the test set containing 13,585 examples. The total download size of the dataset is 10,773,922 bytes, and the total dataset size is 47,537,004 bytes.