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medieval

Tasks:
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Modalities:
Image
Text
Formats:
parquet
Languages:
French
English
Dutch
Size:
100K - 1M
Tags:
optical-character-recognition
humanities
handwritten-text-recognition
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Co-authored-by: Thibault Clérice <ponteineptique@users.noreply.huggingface.co>

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+ *.pth filter=lfs diff=lfs merge=lfs -text
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+ *.rar filter=lfs diff=lfs merge=lfs -text
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+ *.safetensors filter=lfs diff=lfs merge=lfs -text
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+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ *.tar.* filter=lfs diff=lfs merge=lfs -text
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+ *.tar filter=lfs diff=lfs merge=lfs -text
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+ *.tflite filter=lfs diff=lfs merge=lfs -text
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+ *.tgz filter=lfs diff=lfs merge=lfs -text
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+ *.zst filter=lfs diff=lfs merge=lfs -text
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+ *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ # Audio files - uncompressed
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+ *.pcm filter=lfs diff=lfs merge=lfs -text
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+ *.sam filter=lfs diff=lfs merge=lfs -text
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+ *.raw filter=lfs diff=lfs merge=lfs -text
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+ # Audio files - compressed
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+ *.aac filter=lfs diff=lfs merge=lfs -text
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+ *.flac filter=lfs diff=lfs merge=lfs -text
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+ *.mp3 filter=lfs diff=lfs merge=lfs -text
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+ *.ogg filter=lfs diff=lfs merge=lfs -text
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+ *.wav filter=lfs diff=lfs merge=lfs -text
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+ # Image files - uncompressed
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+ *.bmp filter=lfs diff=lfs merge=lfs -text
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+ *.jpg filter=lfs diff=lfs merge=lfs -text
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README.md ADDED
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+ ---
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+ license: cc-by-4.0
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+ task_categories:
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+ - image-to-text
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+ version: "1.6.0"
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+ language:
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+ - fr
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+ - en
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+ - nl
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+ - it
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+ - es
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+ - ca
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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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+
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+ ![Banner for the CATMuS Project](banner_catmus_medieval_centered.png)
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+
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+ 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)
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+
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+ ## Dataset Details
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+
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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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+
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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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+
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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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+
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+ ### Dataset Description
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+
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+ <!-- Provide a longer summary of what this dataset is. -->
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+
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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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+ <!--
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+ ### Dataset Sources [optional]
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+
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+ Provide the basic links for the dataset.
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+
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+ - **Repository:** [More Information Needed]
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+ - **Paper [optional]:** [More Information Needed]
63
+ - **Demo [optional]:** [More Information Needed]
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+ -->
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+
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+ ## Uses
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+
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+ ### Direct Use
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+
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+ - Handwritten Text Recognition
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+ - Date classification
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+ - Script classification
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+
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+ ### Out-of-Scope Use
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+
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+ - Text-To-Image
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+
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+ ## Dataset Structure
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+
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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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+ <!--
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+ ## Dataset Creation
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+
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+ ### Curation Rationale
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+
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+ Motivation for the creation of this dataset.
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+
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+ [More Information Needed]
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+
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+ ### Source Data
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+
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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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+
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+ #### Data Collection and Processing
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+
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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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+
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+ [More Information Needed]
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+
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+ #### Who are the source data producers?
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+
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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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+
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+ [More Information Needed]
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+ -->
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+
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+ ### Annotations [optional]
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+
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+ #### Annotation process
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+
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+ The annotation process is described in the [dataset paper](https://inria.hal.science/hal-04453952).
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+
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+ #### Who are the annotators?
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+
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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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+ - Rubin, Giorgia
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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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+
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+ ## Bias, Risks, and Limitations
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+
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+ The data are skewed toward Old French, Middle Dutch and Spanish, specifically from the 14th century.
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+
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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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+
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+ Only one document is available in Old English.
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+
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+ ## Citation
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+
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+ **BibTeX:**
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+
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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 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},
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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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+
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+ **APA:**
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+
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+ > 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⟩
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+
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+
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+ ## Glossary
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+
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+
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+ ![Examples of bookscripts and their name](CATMuS_reference_v2.png)
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+
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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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+
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+ ## Dataset Card Contact
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+
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+ Thibault Clérice (first.last@inria.fr)
banner_catmus_medieval_centered.png ADDED

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