HachiML/timeseries_QA_single_text

该数据集包含两个主要特征：messages和time_series_values。messages特征是一个列表，包含content和role两个字段，均为字符串类型。time_series_values特征是一个序列的序列，数据类型为float32。此外，还有一个time_series_input_mask特征，也是一个序列，数据类型为float32。数据集分为训练集和评估集，训练集包含152,215个样本，评估集包含8,012个样本。数据集的下载大小为167,608,256字节，总大小为775,162,356字节。配置信息指定了训练集和评估集的数据文件路径。

The dataset contains two main features: messages and time_series_values. The messages feature is a list containing two fields: content and role, both of which are of string type. The time_series_values feature is a sequence of sequences with a data type of float32. Additionally, there is a time_series_input_mask feature, which is also a sequence with a data type of float32. The dataset is divided into a training set and an evaluation set, with the training set containing 152,215 samples and the evaluation set containing 8,012 samples. The download size of the dataset is 167,608,256 bytes, and the total size is 775,162,356 bytes. The configuration information specifies the data file paths for the training and evaluation sets.