aixk/vlite3.8-nano-korean-dataset

该数据集是一个用于自然语言处理任务的数据集，包含训练集（train），共有1,458,534个示例。数据集的特征包括input_ids（输入序列的标记ID，以int32列表形式存储）和loss_mask（损失计算时的掩码，以int8列表形式存储），这些特征可能用于文本生成、序列建模或其他NLP应用，其中loss_mask用于在训练过程中屏蔽不需要计算损失的标记。数据文件以train-*格式存储，总大小约为3.75 GB。This dataset is designed for natural language processing tasks, containing a training set (train) with 1,458,534 examples. The features include input_ids (token IDs of input sequences, stored as lists of int32) and loss_mask (masks for loss computation, stored as lists of int8), which are likely used for text generation, sequence modeling, or other NLP applications, with loss_mask employed to mask tokens that should not contribute to loss during training. The data files are stored in the train-* format, with a total size of approximately 3.75 GB.