UrbanLegendXV/SolomonVoice1-deux-tokenized

该数据集包含了输入ID序列（input_ids）、标签序列（labels）和注意力掩码（attention_mask）三种特征。输入ID可能是文本数据经过某种编码方式转换得到的整数序列，标签序列可能表示某种分类或回归任务的标签，注意力掩码则用于指示序列中的有效位置。数据集分为训练集，共有127个样本，总大小为1008673字节。数据集配置信息指出，训练数据存储在data/train-*的路径下。

The dataset consists of three features: a sequence of input IDs (input_ids), a sequence of labels (labels), and an attention mask (attention_mask). The input IDs might be integer sequences obtained by encoding some text data, the label sequence may represent the labels for a classification or regression task, and the attention mask is used to indicate valid positions in the sequence. The dataset is split into a training set with a total of 127 samples and a size of 1008673 bytes. The dataset configuration indicates that the training data is stored in files matching the path data/train-*.