Tridis / README.md
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metadata
dataset_info:
  features:
    - name: image
      dtype: image
    - name: text
      dtype: string
    - name: Language
      dtype: string
    - name: Corpus
      dtype: string
    - name: Script
      dtype: string
    - name: Century
      dtype: string
    - name: Image_name
      dtype: string
    - name: NER_ann
      dtype: string
  splits:
    - name: train
      num_bytes: 30374609181
      num_examples: 177744
    - name: validation
      num_bytes: 1689908739
      num_examples: 9829
    - name: test
      num_bytes: 1278986029
      num_examples: 9827
  download_size: 33333506316
  dataset_size: 33343503949
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*
tags:
  - handwritten-text-recognition
  - Image-to-text
  - Image-Text-to-text
Pipeline_tag: Image-Text-to-text
Tasks:
  - handwritten-text-recognition
  - Image-to-text
  - Image-Text-to-text
license: mit
task_categories:
  - image-to-text
language:
  - fr
  - es
  - la
  - de
  - nl
pretty_name: Tridis
size_categories:
  - 100M<n<1B

This is the first dataset version of the corpora used in TRIDIS (Tria Digita Scribunt) which is a series of Handwriting Text Recognition models trained on semi-diplomatic transcriptions from medieval and Early Modern Manuscripts.

The dataset involves 4k pages of manuscripts and is suitable for work on documentary manuscripts, that is, manuscripts arising from legal, administrative, and memorial practices such as registers, feudal books, charters, proceedings, comptability more commonly from the Late Middle Ages (13th century and onwards).

Corpora

The original ground-truth corpora are freely available on online repositories: