UCR Archive 2018 (resplit ver.)

The UCR Archive 2018 provides 128 time series datasets with diverse sources. But there are two primary issues to be used to train a time series generative model. Firstly, a majority of the datasets have a larger test set compared to a training set. Secondly, there is clear difference in patterns between training and test sets for some of the datasets.To make the datasets from this archive more suitable for a time series generation task, we merged the existing training and test sets and resplit it using StratifiedShuffleSplit (from sklearn) into 80% and 20% for a training set and test set, respectively.

UCR档案库2018版（UCR Archive 2018）共收录128个来源多样的时间序列数据集，但这些数据集存在两大主要问题，使其无法直接用于训练时间序列生成模型：其一，多数数据集的测试集规模大于训练集；其二，部分数据集的训练集与测试集在数据模式上存在明显差异。为使该档案库中的数据集更适配时间序列生成任务，我们将原有训练集与测试集合并，并采用sklearn库中的分层洗牌拆分法（StratifiedShuffleSplit），将合并后的数据集按80%、20%的比例分别划分为训练集与测试集。