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
tags:
  - atr
  - htr
  - ocr
  - historical
  - handwritten

POPP - line level

Table of Contents

• POPP - line level
  • 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.

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

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 (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.