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README.md
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pretty_name: CATMuS Medieval
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---
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# Dataset Card for
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### Dataset Description
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<!-- Provide a longer summary of what this dataset is. -->
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- **Curated by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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### Dataset Sources [optional]
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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### Direct Use
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### Out-of-Scope Use
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[More Information Needed]
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## Dataset Structure
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## Dataset Creation
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### Curation Rationale
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[More Information Needed]
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### Source Data
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#### Data Collection and Processing
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<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc.
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[More Information Needed]
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#### Who are the source data producers?
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<!-- 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
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[More Information Needed]
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### Annotations [optional]
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<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
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#### Annotation process
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[More Information Needed]
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#### Who are the annotators?
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## Bias, Risks, and Limitations
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Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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**APA:**
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## Glossary [optional]
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## More Information [optional]
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## Dataset Card Authors [optional]
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[More Information Needed]
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## Dataset Card Contact
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pretty_name: CATMuS Medieval
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size_categories:
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- 100K<n<1M
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tags:
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- optical-character-recognition
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- humanities
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- handwritten-text-recognition
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---
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# Dataset Card for CATMuS Medieval
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## Dataset Details
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Handwritten Text Recognition (HTR) has emerged as a crucial tool for converting manuscripts images into machine-readable formats,
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enabling researchers and scholars to analyse vast collections efficiently.
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Despite significant technological progress, establishing consistent ground truth across projects for HTR tasks,
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particularly for complex and heterogeneous historical sources like medieval manuscripts in Latin scripts (8th-15th century CE), remains nonetheless challenging.
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We introduce the **Consistent Approaches to Transcribing Manuscripts (CATMuS)** dataset for medieval manuscripts,
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which offers:
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1. a uniform framework for annotation practices for medieval manuscripts,
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2. a benchmarking environment for evaluating automatic text recognition models across multiple dimensions thanks to rich metadata (century of production,
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language, genre, script, etc.),
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3. a benchmarking environment for other tasks (such as script classification or dating approaches),
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4. a benchmarking environment and finally for exploratory work pertaining to computer vision and digital paleography around line-based tasks, such as generative approaches.
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Developed through collaboration among various institutions and projects, CATMuS provides an inter-compatible dataset spanning more than 200 manuscripts and incunabula in 10
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different languages, comprising over 160,000 lines of text and 5 million characters spanning from the 8th century to the 16th.
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The dataset's consistency in transcription approaches aims to mitigate challenges arising from the diversity in standards for medieval manuscript transcriptions,
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providing a comprehensive benchmark for evaluating HTR models on historical sources.
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### Dataset Description
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<!-- Provide a longer summary of what this dataset is. -->
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- **Curated by:** Thibault Clérice
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- **Funded by:** BnF Datalab, Biblissima +, DIM PAMIR
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- **Language(s) (NLP):** Middle and Old French, Middle Dutch, Catalan, Spanish, Navarese, Italian, Venitian, Old English, Latin
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- **License:** CC-BY
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<!--
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### Dataset Sources [optional]
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Provide the basic links for the dataset.
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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-->
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## Uses
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### Direct Use
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- Handwritten Text Recognition
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- Data classification
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- Script classification
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### Out-of-Scope Use
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- Text-To-Image
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## Dataset Structure
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- Data contains the main `split` that is loaded through `load_dataset("CATMuS/medieval")`
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- 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
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- The image is in the `im` column, and the text in the `text` column
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<!--
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## Dataset Creation
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### Curation Rationale
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Motivation for the creation of this dataset.
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[More Information Needed]
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### Source Data
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This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...).
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#### Data Collection and Processing
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<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc.
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[More Information Needed]
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#### Who are the source data producers?
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<!-- 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
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this information is available.
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[More Information Needed]
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-->
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### Annotations [optional]
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#### Annotation process
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The annotation process is described in the [dataset paper](https://inria.hal.science/hal-04453952).
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#### Who are the annotators?
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- Pinche, Ariane
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- Clérice, Thibault
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- Chagué, Alix
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- Camps, Jean-Baptiste
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- Vlachou-Efstathiou, Malamatenia
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- Gille Levenson, Matthias
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- Brisville-Fertin, Olivier
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- Boschetti, Federico
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- Fischer, Franz
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- Gervers, Michael
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- Boutreux, Agnès
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- Manton, Avery
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- Gabay, Simon
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- Bordier, Julie
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- Glaise, Anthony
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- Alba, Rachele
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- White, Nick
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- Karaisl, Antonia
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- Leroy, Noé
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- Maulu, Marco
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- Biay, Sébastien
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- Cappe, Zoé
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- Konstantinova, Kristina
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- Boby, Victor
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- Christensen, Kelly
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- Pierreville, Corinne
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- Aruta, Davide
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- Lenzi, Martina
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- Le Huëron, Armelle
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- Possamaï, Marylène
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- Duval, Frédéric
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- Mariotti, Violetta
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- Morreale, Laura
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- Nolibois, Alice
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- Foehr-Janssens, Yasmina
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- Deleville, Prunelle
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- Carnaille, Camille
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- Lecomte, Sophie
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- Meylan, Aminoel
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- Ventura, Simone
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- Dugaz, Lucien
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## Bias, Risks, and Limitations
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The data are skewed toward Old French, Middle Dutch and Spanish, specifically from the 14th century.
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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.
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Only one document is available in Old English.
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## Citation [optional]
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**BibTeX:**
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```tex
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@unpublished{clerice:hal-04453952,
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TITLE = {{CATMuS Medieval: A multilingual large-scale cross-century dataset in Latin script for handwritten text recognition and beyond}},
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AUTHOR = {Cl{\'e}rice, Thibault and Ariane, Pinche and Malamatenia, Vlachou-Efstathiou and Alix, Chagu{\'e} and Jean-Baptiste, Camps and Matthias, Gille-Levenson and Olivier, Brisville-Fertin and Franz, Fischer and Michaels, Gervers and Agn{\`e}s, Boutreux and Avery, Manton and Simon, Gabay and Patricia, O'Connor and Wouter, Haverals and Mike, Kestemont and Caroline, Vandyck and Benjamin, Kiessling},
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URL = {https://inria.hal.science/hal-04453952},
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NOTE = {working paper or preprint},
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YEAR = {2024},
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MONTH = Feb,
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KEYWORDS = {Historical sources ; medieval manuscripts ; Latin scripts ; benchmarking dataset ; multilingual ; handwritten text recognition},
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PDF = {https://inria.hal.science/hal-04453952/file/ICDAR24___CATMUS_Medieval-1.pdf},
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HAL_ID = {hal-04453952},
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HAL_VERSION = {v1},
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}
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```
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**APA:**
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> Thibault Clérice, Pinche Ariane, Vlachou-Efstathiou Malamatenia, Chagué Alix, Camps Jean-Baptiste, et al.. CATMuS Medieval: A multilingual large-scale cross-century dataset in Latin script for handwritten text recognition and beyond. 2024. ⟨hal-04453952⟩
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## Glossary [optional]
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- 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
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## Dataset Card Contact
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Thibault Clérice ([email protected])
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