dmsovetov/gpt2-functions

该数据集包含用于自然语言处理任务的训练和测试数据，主要特征包括attention_mask、input_ids和labels，分别表示注意力掩码、输入标识符和标签。数据集被分割为训练集和测试集，训练集包含180,247个样本，测试集包含45,091个样本。数据集的总大小为1,588,670,221.51字节，下载大小为47,301,682字节。

This dataset contains training and testing data for natural language processing tasks, with main features including attention_mask, input_ids, and labels, representing attention masks, input identifiers, and labels respectively. The dataset is divided into a training set and a test set, with the training set containing 180,247 samples and the test set containing 45,091 samples. The total size of the dataset is 1,588,670,221.51 bytes, and the download size is 47,301,682 bytes.