Kanzoet97/Katro

该数据集包含500个经过注释和处理的发票文档，用于Donut ML模型的微调。注释和数据准备任务由Katana ML团队完成。数据集包含三个分割：训练集（425个样本）、测试集（26个样本）和验证集（50个样本）。数据集的特征包括图像和真实标签（ground_truth），任务类别为特征提取，语言为英语，许可证为MIT。原始数据集信息来源于Mendeley Data。This dataset contains 500 invoice documents annotated and processed to be ready for Donut ML model fine-tuning. Annotation and data preparation task was done by Katana ML team. The dataset includes three splits: train (425 examples), test (26 examples), and validation (50 examples). The features of the dataset include image and ground_truth, the task category is feature-extraction, the language is English, and the license is MIT. Original dataset info is from Mendeley Data.