Dataset · Hugging Face

magistermilitum/Tridis

Name: Tridis
Creator: magistermilitum
License: mit
Keywords: task_categories:image-to-text, language:fr, language:es, language:la, language:de, language:nl, license:mit, size_categories:100K<n<1M, format:parquet, modality:image, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars

This is the first version of the dataset derived from the corpora used for TRIDIS (Tria Digita Scribunt). TRIDIS encompasses a series of Handwriting Text Recognition (HTR) models trained using semi-diplomatic transcriptions of medieval and early modern manuscripts. The semi-diplomatic transcription approach involves resolving abbreviations found in the original manuscripts and normalizing Punctuation and Allographs. The dataset contains approximately 4,000 pages of manuscripts and is… See the full description on the dataset page: https://huggingface.co/datasets/magistermilitum/Tridis.

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Author / organization	magistermilitum
License (as declared)	mit
Downloads	235 (as reported by Hugging Face)
Likes	2
Created	4 December 2024
Last updated at source	15 April 2025

handwritten-text-recognitionImage-to-textImage-Text-to-text

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235 now (+11 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

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mradermacher/Medusa0.1Line-9B-GGUFModel · used to train
ENC-PSL/Medusa0.2Line-9BModel · used to train
LaMOP/TrOCR_Manicule_2026_Latin_MedievalModel · used to train

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