README.md

metadata

license: mit
language:
  - fr
task_categories:
  - image-to-text
pretty_name: POPP
dataset_info:
  features:
    - name: image
      dtype: image
    - name: text
      dtype: string
  splits:
    - name: train
      num_examples: 3834
    - name: validation
      num_examples: 479
    - name: test
      num_examples: 478
  dataset_size: 4791

POPP Dataset

Table of Contents

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

Dataset Description

• Homepage: POPP
• Source: GitHub
• Paper: Recognition and Information Extraction in Historical Handwritten Tables: Toward Understanding Early 20th Century Paris Census
• Point of Contact: TEKLIA

Dataset Summary

The POPP dataset includes French civil census from Paris from the early 20th century.

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': 'Joly Ernest 88 Indre M par Employé Roblot!18377'
}

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.