junlinw/opc-sft-s2-python_AST_1.0_200.0_var3

该数据集包含三个特征字段：input_ids，labels和num_mask_tokens。input_ids和original字段是整数列表，labels字段是整数类型，num_mask_tokens字段是64位整数类型。数据集分为训练集和测试集，训练集包含1,014,020个示例，大小为4.74GB，测试集包含10,243个示例，大小为47.2MB。整个数据集的大小为4.78GB，下载大小为834.95MB。数据集配置包括默认配置，指定了训练集和测试集的数据文件路径。

The dataset includes three feature fields: input_ids, labels, and num_mask_tokens. The input_ids and original fields are lists of integers, the labels field is of integer type, and the num_mask_tokens field is a 64-bit integer type. The dataset is divided into a training set and a test set, with the training set containing 1,014,020 examples and a size of 4.74GB, and the test set containing 10,243 examples and a size of 47.2MB. The entire dataset is 4.78GB in size, with a download size of 834.95MB. The dataset configuration includes a default configuration that specifies the data file paths for the training and test sets.