README.md

metadata

license: mit
language:
  - la
  - fr
task_categories:
  - image-to-text
pretty_name: Himanis
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

Himanis Dataset

Historical MAnuscript Indexing for user controlled Search (HIMANIS) is a corpus of medieval documents.

Table of Contents

• Himanis Dataset
  • Table of Contents
  • Dataset Description
    • Languages
  • Dataset Structure
    • Data Instances
    • Data Fields

Dataset Description

• Homepage: Himanis
• Paper: Paper
• Point of Contact: TEKLIA

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: 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.