--- language: - fr viewer: false --- > [!NOTE] > Dataset origin: https://zenodo.org/records/3383658 # Automatic TEI encoding of manuscripts catalogues with GROBID-Dictionaries ## Credits GROBID dictionaries is developed by Mohamed Khemakhem ([GitHub](https://github.com/MedKhem)). More info on GROBID technologies can be found [here](https://grobid.readthedocs.io). ## Corpus The corpus is based on scans of catalogues published by Auguste Laverdet, the *Revue des autographes*, directed by Gabriel Charavay ([data.bnf](http://data.bnf.fr/10429866/gabriel_charavay/)) and different auction sales catalogues published by the Maison Charavay. ## Methodology PDF are OCRised with [Transkribus](https://transkribus.eu). The GROBID dictionaries model is trained on four different types of catalogues. For each type, 15 annotated pages are available : 10 as training data and 5 as evaluation data. The training data are extracted from the following catalogs issues: + Gabriel Charavay, _Revue des Autographes_, first series : 25, 35, 50, 80. + Gabrielle Charavay _Revue des Autographes_, second series : 24, 56. + Auguste Laverdet, _Catalogue de lettres autographes et manuscrits_ : 1, 22. + Etienne Charavay, _Catalogue d’une intéressante collection de lettres autographes…_ (14 décembre 1908). The source of the training files are references in the file names using the following acronyms: + RDA_1 for Revue des Autographes, first series + RDA_2 for Revue des Autographes, second series + LAV for catalogues written by Auguste Laverdet + ETI for auction catalogues written by Etienne Charavay In compliance with the PDF are OCRised with [recommendations of Grobid⁻Dictionaries](https://github.com/MedKhem/grobid-dictionaries/wiki/How-to-Annotate%3F), the separators, whether there are composed of one or two punctuation signs, are tagged with the neutral label . Examples : 350 .
STANISLAS , roi de Pologne N. 1677. M. 1766
. - L. aut. sig. à madame de Boufïlers. Lunéville, 5 janvier 1741. 1 page in-4, 10
» ## Files Training data and evaluation data are available in `ToyData` ## Licence Regarding `GROBID`, cf. [here](https://github.com/MedKhem/grobid-dictionaries). Regarding the corpus: extracted data is CC-BY. Creative Commons License