shayanfirouzian/LHHHL

该数据集是一个包含多个特征字段的训练数据集，特征字段包括环境索引、特征、级别、训练指令、输入、输出、头部、关系、尾部、文字、叙述、人物X、人物Y和原始索引等。数据集被划分为训练集，包含50000个示例，总大小约为45MB。数据集的具体用途可能是用于训练自然语言处理模型，尤其是那些涉及理解指令、关系和叙述的模型。

This dataset is a training dataset containing multiple feature fields, including environment index, trait, level, training instruction, input, output, head, relation, tail, literal, narrative, personx, persony, and original index. The dataset is split into a training set with 50,000 examples and a total size of approximately 45MB. The specific purpose of the dataset may be for training natural language processing models, especially those involving understanding instructions, relationships, and narratives.