We propose a new database for information extraction from historical
handwritten documents. The corpus includes 5,393 finding aids from six
different series, dating from the 18th-20th centuries. Finding aids are
handwritten documents that contain metadata describing older archives. They are
stored in the National Archives of France and are used by archivists to
identify and find archival documents. Each document is annotated at page-level,
and contains seven fields to retrieve. The localization of each field is not
available in such a way that this dataset encourages research on
segmentation-free systems for information extraction. We propose a model based
on the Transformer architecture trained for end-to-end information extraction
and provide three sets for training, validation and testing, to ensure fair
comparison with future works. The database is freely accessible at
this https URL

提出一个包含 5,393 份手写历史文档的信息提取新数据库，其中手写的 finding aid 包含了从 18-20 世纪的六个系列的元数据，每个文档都被页级注释，涵盖了七个检索字段。此数据集是分割自由系统信息提取研究的好机会。提出了基于 Transformer 架构的模型，用于端到端信息提取，并提供三个数据集以进行未来研究的公平比较。