junlinw/opc-sft-s2-annealing-ins-python_AST_0.5_200.0_var3

该数据集包含了用于训练和测试的文本数据，具体包括input_ids、labels、num_mask_tokens和original等字段。input_ids和original字段是由整数构成的列表，代表了文本的输入索引和原始文本数据。labels字段为整数类型，用于标记文本的分类或标注信息。num_mask_tokens字段记录了每个样本中遮蔽token的数量。数据集分为训练集和测试集，其中训练集包含约287万个示例，测试集包含约2.89万个示例。

The dataset consists of text data for training and testing, including fields such as input_ids, labels, num_mask_tokens, and original. The input_ids and original fields are lists of integers representing the input index and original text data of the text, respectively. The labels field is an integer type used for text classification or annotation information. The num_mask_tokens field records the number of masked tokens in each sample. The dataset is divided into training and test sets, with the training set containing approximately 2.87 million examples and the test set containing approximately 28,900 examples.