Praha-Labs/LibriTTS-SNAC-GEMMA

该数据集包含三个特征：输入ID序列（input_ids），标签序列（labels），和注意力掩码序列（attention_mask）。输入ID可能是文本数据的编码表示，标签可能表示某种分类或回归任务的输出，注意力掩码则用于指示输入序列中哪些部分是重要的。数据集分为训练集，具体为train.clean.360，包含112326个样本。文件大小为754606353字节。由于README中没有具体描述数据集的用途和来源，因此无法提供更详细的中文描述。

The dataset includes three features: a sequence of input IDs (input_ids), a sequence of labels (labels), and a sequence of attention masks (attention_mask). Input IDs might represent the encoded form of text data, labels might indicate the outputs of some classification or regression task, and attention masks are used to indicate which parts of the input sequence are important. The dataset is split into a training set, specifically train.clean.360, containing 112326 samples. The file size is 754606353 bytes. As the README does not provide a specific description of the datasets purpose or origin, no detailed English description can be given.