metadata

task_categories:
  - image-to-text
pretty_name: ATR benchmark
size_categories:
  - n<1K
language:
  - fr
  - la
  - en
  - 'no'
  - ar
  - zh
  - de
tags:
  - atr
  - htr
  - ocr
dataset_info:
  features:
    - name: dataset
      dtype: string
    - name: image
      dtype: image
    - name: arkindex_id
      dtype: string
    - name: text
      dtype: string
    - name: language
      dtype: string
    - name: level
      dtype: string
  splits:
    - name: test
      num_bytes: 145153440
      num_examples: 83
  download_size: 144199823
  dataset_size: 145153440
configs:
  - config_name: default
    data_files:
      - split: test
        path: data/test-*

ATR benchmark - Page/paragraph level

Dataset Description

Homepage: ATR benchmark
Point of Contact: TEKLIA

Dataset Summary

The ATR benchmark dataset is a multilingual dataset that includes 83 document images, at page or paragraph level. This dataset has been designed to test ATR models and combines data from several public datasets:

Images are in their original size.

Split

dataset	images	language
BnL Historical Newspapers	3	German
CASIA-HWDB2	10	Chinese
DIY History - Social Justice	20	English
FINLAM - Historical Newspapers	10	English / French
Horae - Books of hours	10	Latin
NorHand v3	10	Norwegian
Marius PELLET	10	French
RASM	10	Arabic

Dataset Structure

Data Instances

{
  'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size={img size} at 0x1A800E8E190,
  'text': '{transcription}'
}

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].
dataset: the name of the original dataset.
arkindex_id: Arkindex element id corresponding to the current page or paragraph.
text: the label transcription of the image.
language: language of text on the image.
level: full document page or a single paragraph.