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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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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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Join our Discord to ask questions about the dataset: [](https://discord.gg/J38xgNEsGk) |
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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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### 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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- 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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## 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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[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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### 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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- 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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## 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 |
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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 |
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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 (first.last@inria.fr) |
