McCATMuS - Transcription model for handwritten, printed and typewritten documents from the 16th century to the 21st century

Built upon datasets from institutions and projects committed to Open Science, McCATMuS provides an interoperable dataset encompassing over 180 manuscripts in 7 different languages (French, Latin, Spanish, English, German, Italian and Occitan). It includes more than 118,000 lines of text and nearly 4 million characters, covering a period from the early 16th century to the present day. All the datasets were automatically or, when precised, manually corrected to correspond to the CATMuS transcription guidelines, available here: https://catmus-guidelines.github.io/ The annotations in the dataset result for layout extraction, line extraction, typing and transcription, from the original creators of the dataset in most cases, or from automatic or manual corrections by the curator of the CATMuS modern dataset. The alignment of the dataset with CATMuS' guidelines was performed by the curator of the dataset. The curated dataset can be accessed via HuggingFace: https://huggingface.co/datasets/CATMuS/modern This model was trained on the McCATMuS Dataset, with Kraken v.4.3.13, with NFD Unicode normalization and a batch size of 32 over 157 epochs.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-19
DOI
https://doi.org/10.5281/zenodo.13788177
Primary Topic
Handwritten Text Recognition Techniques
Type
article
Field-Weighted Citation Impact
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article

McCATMuS - Transcription model for handwritten, printed and typewritten documents from the 16th century to the 21st century

Zenodo (CERN European Organization for Nuclear Research)
Handwritten Text Recognition Techniques
article

McCATMuS - Transcription model for handwritten, printed and typewritten documents from the 16th century to the 21st century

article en

Abstract

Built upon datasets from institutions and projects committed to Open Science, McCATMuS provides an interoperable dataset encompassing over 180 manuscripts in 7 different languages (French, Latin, Spanish, English, German, Italian and Occitan). It includes more than 118,000 lines of text and nearly 4 million characters, covering a period from the early 16th century to the present day. All the datasets were automatically or, when precised, manually corrected to correspond to the CATMuS transcription guidelines, available here: https://catmus-guidelines.github.io/ The annotations in the dataset result for layout extraction, line extraction, typing and transcription, from the original creators of the dataset in most cases, or from automatic or manual corrections by the curator of the CATMuS modern dataset. The alignment of the dataset with CATMuS' guidelines was performed by the curator of the dataset. The curated dataset can be accessed via HuggingFace: https://huggingface.co/datasets/CATMuS/modern This model was trained on the McCATMuS Dataset, with Kraken v.4.3.13, with NFD Unicode normalization and a batch size of 32 over 157 epochs.

Zenodo (CERN European Organization for Nuclear Research)
École Pratique des Hautes Études (FR), Université de Montréal (CA)
Openalex Percentile: Top 60%
Handwritten Text Recognition Techniques
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McCATMuS - Transcription model for handwritten, printed and typewritten documents from the 16th century to the 21st century · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS