Yujivus/wmt14-de-en-helsinki-filtered-sorted-40-100k

该数据集包含输入ID(input_ids)，注意力掩码(attention_mask)，标签(labels)，输入长度(input_length)和标签长度(labels_length)等字段。数据集被划分为训练集和验证集，其中训练集包含100000个示例，验证集包含1744个示例。这些特征表明，该数据集可能是一个用于文本分类或序列标注任务的NLP数据集。The dataset includes fields such as input IDs (input_ids), attention masks (attention_mask), labels (labels), input length (input_length), and label length (labels_length). The dataset is split into a training set with 100,000 examples and a validation set with 1,744 examples. These features suggest that the dataset might be used for text classification or sequence labeling tasks in NLP.