README.md

metadata

license: mit
language:
  - fr
task_categories:
  - image-to-text
pretty_name: Belfort
dataset_info:
  features:
    - name: image
      dtype: image
    - name: text
      dtype: string
  splits:
    - name: train
      num_examples: 97883
    - name: validation
      num_examples: 4519
    - name: test
      num_examples: 2829
  dataset_size: 105231

Belfort Dataset

Table of Contents

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

Dataset Description

• Homepage: Belfort city archives
• Source: Zenodo
• Paper: Handwritten Text Recognition from Crowdsourced Annotations
• Point of Contact: TEKLIA

Dataset Summary

The Belfort dataset includes minutes of the municipal council of the French city of Belfort. Text lines were extracted using an automatic model and may contain segmentation errors. The transcriptions were obtained through a crowdsourcing campaign using the Callico web plateform.

Languages

All the documents in the dataset are written in French.

Dataset Structure

Data Instances

{
  'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=4300x128 at 0x1A800E8E190,
  'text': 'les intérêts des 30000 francs jusqu'au moment de la'
}

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.