withpi/jira_search_queries_formatted_ce_tokenized_8k_st_11

这个数据集包含了多个字段，如pi_key（字符串类型）、category（整型）、label（浮点型）、input_ids（序列整数类型）、attention_mask（序列字节数组类型）、length（整型）和total_length（整型）。数据集被分为训练集和测试集，训练集包含484438个示例，大小为约13.46GB，测试集包含54167个示例，大小约为1.63GB。数据集的配置信息指出训练和测试数据分别存储在指定的路径下。根据这些信息，我们可以推断这是一个用于机器学习或深度学习的文本处理数据集，可能用于分类或回归任务。

The dataset contains multiple fields such as pi_key (string type), category (integer type), label (floating-point type), input_ids (sequence of integer type), attention_mask (sequence of byte array type), length (integer type), and total_length (integer type). It is split into a training set and a test set, with the training set containing 484,438 examples and being about 13.46GB in size, and the test set containing 54,167 examples and being about 1.63GB in size. The configuration information of the dataset indicates that the training and test data are stored in specified paths. Based on this information, we can infer that this is a text processing dataset for machine learning or deep learning, possibly used for classification or regression tasks.