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ZENODO
Dataset . 2026
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Dataset for BnF, fr. 2813 - Grandes Chroniques de France

Authors: Vlachou Efstathiou, Malamatenia;

Dataset for BnF, fr. 2813 - Grandes Chroniques de France

Abstract

This repository contains the extended version of the ground truth for the codex Paris, BnF, fr. 2813, used in the experiments for the paper “Leveraging Morphology for Metrological Historical Script Analysis”, accepted to International Conference on Document Analysis and Recognition (ICDAR 2026, Vienna, Austria). What’s New Compared to v.1 95 newly annotated folios have been added (see the new btv1b84472995_metadata.csv for details); The ALTO XML annotations now distinguish between #MainZone#1 and #MainZone#2, corresponding to the column order on each page; Two versions of annotation.json are provided: one version includes hyphenation for word breaks at the end of lines. As for version 1, the repository is organized into two main data folders: --- 📁 `btv1b84472995_GT.zip` This folder contains the ground truth dataset used for Handwritten Text Recognition (HTR), created from the selected folia of the manuscript Paris, BnF, français. 2813 The identifier `btv1b84472995` refers to the ark ID of this manuscript in Gallica. Folder structure: btv1b84472995_GT ├── images └── annotations - `images/`: High-resolution selected images downloaded from Gallica. Image names follow the pattern `btv1b84472995_f`, corresponding to the Gallica view number. ➤ Credit: *Source gallica.bnf.fr / Bibliothèque nationale de France* - `annotations/`: XML-ALTO annotation files created with eScriptorium. Layout: Annotations follow the Segmonto ontology. The potential users of the ground truth should note that we use additional personalized tags for: - `'RubricLines'`: Rubricated lines - `'HalfLines'`: Partial or incomplete lines - `'MainZone#1'` and `'MainZone#2'`: order of the column, instead of simply #MainZone Transcription: The dataset is CATMuS-compliant, using a graphemic transcription approach. --- 📁 `dataset.zip` This folder contains the dataset used in the experiments described in the paper, using the DTLR architecture for paleography, as detailed in the paper. Folder structure: dataset ├── images └── annotation.json - `images/`: Each subfolder contains polygonal line extractions (with alpha transparency) per manuscript page.- `annotation.json`: Contains the annotation and metadata for each line. `annotation.json` structure example: ```json"": { // corresponds to the image names in the images folders "split": "train", "label": "A beautiful calico cat.",// Transcription text of the line "line": "DefaultLine", // Type of line "zone": "MainZone#1", // Type of Zone where the line is found "script": "RaouletOrleans", // Identifier for the scribal hand "folio": "1r", "gp": "GP1", // Identified Graphic Profile "doc": "HT1", } Papers associated with the data: v1: https://malamatenia.github.io/bnf-fr-2813/ (Scriptorium 2026) v2: https://malamatenia.github.io/dtlr-for-metrology/ (ICDAR 2026)This study was supported by the CNRS through MITI and the 80|Prime program (CrEMe Caractérisation des écritures médiévales), and by the European Research Council (ERC project DISCOVER, number 101076028).

Keywords

the learnable typewriter, manuscript, latin palaeography, ancient french, raoulet d'orléans, htr, henri de trévou, grandes chroniques de france

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average