Datasets:
metadata
license: mit
language:
- la
task_categories:
- image-to-text
pretty_name: HOME-Alcar
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_examples: 59969
- name: validation
num_examples: 7905
- name: test
num_examples: 6932
dataset_size: 74806
tags:
- atr
- htr
- ocr
- historical
- handwritten
HOME-Alcar - line level
Table of Contents
Dataset Description
Dataset Summary
The HOME-Alcar (Aligned and Annotated Cartularies) dataset is a Medieval corpus. The 17 medieval manuscripts in this corpus are cartularies, i.e. books copying charters and legal acts, produced between the 12th and 14th centuries.
Note that all images are resized to a fixed height of 128 pixels.
Languages
All the documents in the dataset are written in Latin.
Dataset Structure
Data Instances
{
'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=4300x128 at 0x1A800E8E190,
'text': 'quatre mille livres de tournoiz poiez, si com¬'
}
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.