shivank21/bbh_subset_llama_sft

该数据集是一个包含输入(input)、目标(target)、源配置(source_config)和模型响应(model_response)字符串字段的数据集。它有一个训练集(train)部分，包含500个示例，数据大小为274855字节。数据集适用于机器学习模型训练，其中的字段可能用于提供模型输入、期望输出、配置信息和模型实际输出。

The dataset consists of fields for input, target, source configuration, and model response, all of which are string types. It includes a training set (train) with 500 examples and a size of 274855 bytes. The dataset is suitable for machine learning model training, where the fields might be used to provide model input, expected output, configuration information, and the actual output of the model.