PassbyGrocer/ais_abnormal

该数据集包含了四个特征字段：input_ids，labels，attention_mask和feature。input_ids和feature字段是由整数和浮点数构成的序列，长度为100。labels字段是一个分类标签，包括Normal、Cycle、U-turn、Detour、Noise Cluster和Padding六种类型。attention_mask字段是一个长度为100的整数序列。数据集分为训练集和测试集，其中训练集包含202个示例，测试集包含51个示例。

The dataset includes four feature fields: input_ids, labels, attention_mask, and feature. The input_ids and feature fields are sequences of integers and floating-point numbers, each with a length of 100. The labels field is a classification label that includes six types: Normal, Cycle, U-turn, Detour, Noise Cluster, and Padding. The attention_mask field is a sequence of integers with a length of 100. The dataset is divided into training and test sets, with the training set containing 202 examples and the test set containing 51 examples.