metadata

license: mit
language:
  - la
  - fr
task_categories:
  - image-to-text
pretty_name: Himanis-line
dataset_info:
  features:
    - name: image
      dtype: image
    - name: text
      dtype: string
  splits:
    - name: train
      num_examples: 18504
    - name: validation
      num_examples: 2367
    - name: test
      num_examples: 2240
  dataset_size: 23111
tags:
  - atr
  - ocr
  - htr
  - historical
  - handwritten

Himanis - line level

Himanis - line level

Dataset Description

Homepage: Himanis
Paper: Paper
Point of Contact: TEKLIA

Dataset Summary

Himanis (HIstorical MANuscript Indexing for user controlled Search) is a corpus of medieval documents.

The historical corpus is described in the following publication: Stutzmann, D., Moufflet, J-F., & Hamel, S. (2017). La recherche en plein texte dans les sources manuscrites médiévales : enjeux et perspectives du projet HIMANIS pour l’édition électronique. Médiévales : Langue, textes, histoire 73 (2017): 67‑96. https://doi.org/10.4000/medievales.8198

Note that all images are resized to a fixed height of 128 pixels.

Languages

All the documents in the dataset are written in Latin and in French.

Dataset Structure

Data Instances

{
  'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=4300x128 at 0x1A800E8E190,
  'text': 'Philippus, Dei gratia Francorum et Navarre rex. Notum facimus universis, tam presentibus quam futuris, quod, cum supplicato nobis nuper,'
}

Data Fields

image: a PIL.Image.Image object containing the image. Note that when accessing the image column (using dataset[0]["image"]), the image file is automatically decoded. Decoding of a large number of image files might take a significant amount of time. Thus it is important to first query the sample index before the "image" column, i.e. dataset[0]["image"] should always be preferred over dataset["image"][0].
text: the label transcription of the image.

Datasets:

Teklia
/

Himanis-line