ksych/dataset_context_4000

该数据集包含五个特征字段：输入序列(inputs)、位置标识(position_ids)、标记类型标识(token_type_ids)、链标识(strands)和标签(labels)。输入序列、位置标识、标记类型标识和链标识是序列类型，分别存储64位双精度浮点数、64位整数、8位整数和64位整数。标签字段存储64位双精度浮点数。数据集分为训练集和评估集，适用于机器学习模型的训练和评估。

The dataset contains five feature fields: input sequences (inputs), position identifiers (position_ids), token type identifiers (token_type_ids), strand identifiers (strands), and labels (labels). The input sequence, position identifier, token type identifier, and strand identifier are sequence types, storing 64-bit double-precision floating-point numbers, 64-bit integers, 8-bit integers, and 64-bit integers respectively. The label field stores 64-bit double-precision floating-point numbers. The dataset is divided into training and evaluation sets, suitable for training and evaluating machine learning models.