supergoose/flan_combined_task873_opus_xhosanavy_translation_xhosa_eng

该数据集包含了输入(inputs)、目标(targets)等字段，并且有训练集(train)的划分。每个字段都有相应的数据类型，如字符串(string)、整数(int64)。数据集的总大小为11776474字节，训练集包含16797个样本。根据这些信息，我们可以推断这是一个包含文本输入和目标的数据集，可能用于文本分类、序列标注等NLP任务。

The dataset includes fields such as inputs, targets, and others, with the train split specified. Each field has a corresponding data type, such as string (string) and integer (int64). The total size of the dataset is 11776474 bytes, and the training set contains 16797 samples. Based on this information, we can infer that this is a dataset containing text inputs and targets, possibly used for NLP tasks such as text classification or sequence labeling.