knoveleng/redbench-v2

该数据集包含了多个子数据集，每个子数据集都用于不同的自然语言处理任务。每个数据集的特征字段包括提示文本、选项、答案、任务类型、子任务类型、分类、领域、语言、来源以及与风险相关的响应和属性。分割信息包括训练集的字节大小和示例数量。数据集的具体用途和详细描述需要根据各个子数据集的特征和训练集信息进行推断。

The dataset consists of multiple sub-datasets, each designed for different natural language processing tasks. Each sub-dataset features fields including prompt text, options, answer, task type, subtask type, category, domain, language, source, and risk-related responses and properties. The split information includes the byte size and number of examples in the training set. The specific purpose and detailed description of the dataset need to be inferred based on the features and training set information of each sub-dataset.