FiscaAI/TARMED_UVG_01.81-D-embeddings

该数据集包含一个名为document的特征，该特征下包含多个子字段，如code、QT_Digni、MwSt等，所有字段的数据类型均为字符串。此外，数据集还包含一个名为embedding的特征，其数据类型为浮点数序列。数据集只有一个训练集（train），包含4519个样本，总大小为157879615字节。The dataset contains a feature named document, which includes multiple subfields such as code, QT_Digni, MwSt, etc., all of which are of string type. Additionally, the dataset includes a feature named embedding, which is a sequence of float64. The dataset has only one training set (train) with 4519 samples and a total size of 157879615 bytes.