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We propose a new database for information extraction from historicalhandwritten documents. The corpus includes 5,393 finding aids from sixdifferent series, dating from the 18th-20th centuries. Finding aids arehandwritten documents that contain metadata describing older archives. They arestored in the National Archives of France and are used by archivists toidentify and find archival documents. Each document is annotated at page-level,and contains seven fields to retrieve. The localization of each field is notavailable in such a way that this dataset encourages research onsegmentation-free systems for information extraction. We propose a model basedon the Transformer architecture trained for end-to-end information extractionand provide three sets for training, validation and testing, to ensure faircomparison with future works. The database is freely accessible athttps://zenodo.org/record/7868059.

SIMARA: a database for key-value information extraction from full pages