gguichard/verbnet_train_derived

该数据集包含多个特征字段，包括words（字符串序列）、labels（64位整数序列）、input_ids（32位整数序列）和attention_mask（8位整数序列）。数据集分为训练集和测试集，训练集包含2108995个示例，测试集包含111000个示例。数据集的下载大小为431211826字节，总大小为1586960527.0字节。配置文件指定了训练集和测试集数据文件的路径。

The dataset contains multiple feature fields, including words (sequence of strings), labels (sequence of int64), input_ids (sequence of int32), and attention_mask (sequence of int8). The dataset is divided into a training set and a test set, with the training set containing 2,108,995 examples and the test set containing 111,000 examples. The download size of the dataset is 431,211,826 bytes, and the total size is 1,586,960,527.0 bytes. The configuration file specifies the paths to the data files for the training and test sets.