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README.md

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----
-license: cc-by-4.0
-task_categories:
-- image-to-text
-version: "1.5.0"
-language:
-- fr
-- en
-- nl
-- it
-- es
-- ca
-pretty_name: CATMuS Medieval
-size_categories:
-- 100K<n<1M
-tags:
-- optical-character-recognition
-- humanities
-- handwritten-text-recognition
----
-# Dataset Card for CATMuS Medieval
-
-![Banner for the CATMuS Project](banner_catmus_medieval_centered.png)
-
-Join our Discord to ask questions about the dataset: [![Join the Discord](https://img.shields.io/badge/CATMuS-Discord?style=flat-square&logo=discord&logoColor=%23333333&color=%235865F2)](https://discord.gg/J38xgNEsGk)
-
-## Dataset Details
-
-Handwritten Text Recognition (HTR) has emerged as a crucial tool for converting manuscripts images into machine-readable formats, 
-enabling researchers and scholars to analyse vast collections efficiently. 
-Despite significant technological progress, establishing consistent ground truth across projects for HTR tasks, 
-particularly for complex and heterogeneous historical sources like medieval manuscripts in Latin scripts (8th-15th century CE), remains nonetheless challenging. 
-We introduce the **Consistent Approaches to Transcribing Manuscripts (CATMuS)** dataset for medieval manuscripts, 
-which offers:
-1. a uniform framework for annotation practices for medieval manuscripts,
-2. a benchmarking environment for evaluating automatic text recognition models across multiple dimensions thanks to rich metadata (century of production, 
-language, genre, script, etc.),
-3. a benchmarking environment for other tasks (such as script classification or dating approaches),
-4. a benchmarking environment  and finally for exploratory work pertaining to computer vision and digital paleography around line-based tasks, such as generative approaches.
-
-Developed through collaboration among various institutions and projects, CATMuS provides an inter-compatible dataset spanning more than 200 manuscripts and incunabula in 10 
-different languages, comprising over 160,000 lines of text and 5 million characters spanning from the 8th century to the 16th.
-
-The dataset's consistency in transcription approaches aims to mitigate challenges arising from the diversity in standards for medieval manuscript transcriptions, 
-providing a comprehensive benchmark for evaluating HTR models on historical sources. 
-
-### Dataset Description
-
-<!-- Provide a longer summary of what this dataset is. -->
-
-- **Curated by:** Thibault Clérice
-- **Funded by:** BnF Datalab, Biblissima +, DIM PAMIR
-- **Language(s) (NLP):** Middle and Old French, Middle Dutch, Catalan, Spanish, Navarese, Italian, Venitian, Old English, Latin
-- **License:** CC-BY
-
-<!--
-### Dataset Sources [optional]
-
- Provide the basic links for the dataset.
-
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
- -->
-
-## Uses
-
-### Direct Use
-
-- Handwritten Text Recognition
-- Date classification
-- Script classification
-
-### Out-of-Scope Use
-
-- Text-To-Image
-
-## Dataset Structure
-
-- Data contains the main `split` that is loaded through `load_dataset("CATMuS/medieval")`
-- Data can be split with each manuscript inside train, val and test using the `gen_split` columns which results in a 90/5/5 split
-- The image is in the `im` column, and the text in the `text` column
-
-<!--
-## Dataset Creation
-
-### Curation Rationale
-
- Motivation for the creation of this dataset.
-
-[More Information Needed]
-
-### Source Data
-
- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). 
-
-#### Data Collection and Processing
-
-<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc.
-
-[More Information Needed]
-
-#### Who are the source data producers?
-
-<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if 
-this information is available. 
-
-[More Information Needed]
- -->
-
-### Annotations [optional]
-
-#### Annotation process
-
-The annotation process is described in the [dataset paper](https://inria.hal.science/hal-04453952).
-
-#### Who are the annotators?
-
-- Pinche, Ariane
-- Clérice, Thibault
-- Chagué, Alix
-- Camps, Jean-Baptiste
-- Vlachou-Efstathiou, Malamatenia
-- Gille Levenson, Matthias
-- Brisville-Fertin, Olivier
-- Boschetti, Federico
-- Fischer, Franz
-- Gervers, Michael
-- Boutreux, Agnès
-- Manton, Avery
-- Gabay, Simon
-- Bordier, Julie
-- Glaise, Anthony
-- Alba, Rachele
-- Rubin, Giorgia
-- White, Nick
-- Karaisl, Antonia
-- Leroy, Noé
-- Maulu, Marco
-- Biay, Sébastien
-- Cappe, Zoé
-- Konstantinova, Kristina
-- Boby, Victor
-- Christensen, Kelly
-- Pierreville, Corinne
-- Aruta, Davide
-- Lenzi, Martina
-- Le Huëron, Armelle
-- Possamaï, Marylène
-- Duval, Frédéric
-- Mariotti, Violetta
-- Morreale, Laura
-- Nolibois, Alice
-- Foehr-Janssens, Yasmina
-- Deleville, Prunelle
-- Carnaille, Camille
-- Lecomte, Sophie
-- Meylan, Aminoel
-- Ventura, Simone
-- Dugaz, Lucien
-
-## Bias, Risks, and Limitations
-
-The data are skewed toward Old French, Middle Dutch and Spanish, specifically from the 14th century.
-
-The only language that is represented over all centuries is Latin, and in each scripts. The other language with a coverage close to Latin is Old French.
-
-Only one document is available in Old English.
-
-## Citation
-
-**BibTeX:**
-
-```tex
-@unpublished{clerice:hal-04453952,
-  TITLE = {{CATMuS Medieval: A multilingual large-scale cross-century dataset in Latin script for handwritten text recognition and beyond}},
-  AUTHOR = {Cl{\'e}rice, Thibault and Pinche, Ariane and Vlachou-Efstathiou, Malamatenia and Chagu{\'e}, Alix and Camps, Jean-Baptiste and Gille-Levenson, Matthias and Brisville-Fertin, Olivier and Fischer, Franz and Gervers, Michaels and Boutreux, Agn{\`e}s and Manton, Avery and Gabay, Simon and O'Connor, Patricia and Haverals, Wouter and Kestemont, Mike and Vandyck, Caroline and Kiessling, Benjamin},
-  URL = {https://inria.hal.science/hal-04453952},
-  NOTE = {working paper or preprint},
-  YEAR = {2024},
-  MONTH = Feb,
-  KEYWORDS = {Historical sources ; medieval manuscripts ; Latin scripts ; benchmarking dataset ; multilingual ; handwritten text recognition},
-  PDF = {https://inria.hal.science/hal-04453952/file/ICDAR24___CATMUS_Medieval-1.pdf},
-  HAL_ID = {hal-04453952},
-  HAL_VERSION = {v1},
-}
-```
-
-**APA:**
-
-> Thibault Clérice, Ariane Pinche, Malamatenia Vlachou-Efstathiou, Alix Chagué, Jean-Baptiste Camps, et al.. CATMuS Medieval: A multilingual large-scale cross-century dataset in Latin script for handwritten text recognition and beyond. 2024. ⟨hal-04453952⟩
-
-
-## Glossary
-
-
-![Examples of bookscripts and their name](CATMuS_reference_v2.png)
-
-- Scripts: In the middle ages, the writing style changed over time, specifically in "litterary" manuscripts, for which we call the general scripts "Bookscripts". This is what CATMuS Medieval covers at the time
-
-## Dataset Card Contact
-
-Thibault Clérice (first.last@inria.fr)