Teklia/PELLET-Casimir-Marius-line

PELLET Casimir Marius - Line level

Table of Contents

• —PELLET Casimir Marius - Line level
• —Table of Contents
• —Dataset Description
• —Dataset Summary
• —Languages
• —Dataset Structure
• —Data Instances
• —Data Fields
• —Usage with the PyLaia library

Dataset Description

• —Homepage: Europeana
• —Point of Contact: TEKLIA

Dataset Summary

The PELLET Casimir Marius dataset includes 100 annotated French letters written between 1914 and 1918. Annotations were done at line-level and all images do not have any text.

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=1684x128 at 0x1A800E8E190,
  'text': 'LE HAVRE - panorama de la rue de Paris'
}

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.

Usage with the PyLaia library

1. 1.Clone the repository via
2. 2.the Settings on the UI,
3. 3.or GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/datasets/Teklia/PELLET-Casimir-Marius-line
4. 4.The dataset is available in PyLaia format, in the ./pylaia folder.

You can use this dataset to:

• —train a new PyLaia model,
• —assess your model's performance against this dataset.