Datasets:
metadata
license: mit
language:
- nb
task_categories:
- image-to-text
pretty_name: NorHand v1
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_examples: 19653
- name: validation
num_examples: 2286
- name: test
num_examples: 1793
dataset_size: 23732
NorHand v1 Dataset
Table of Contents
Dataset Description
- Homepage: Hugin-Munin project
- Source: Zenodo
- Paper: A Comprehensive Comparison of Open-Source Libraries for Handwritten Text Recognition in Norwegian
- Point of Contact: TEKLIA
Dataset Summary
The NorHand v1 dataset comprises Norwegian letter and diary line images and text from 19th and early 20th century.
Languages
All the documents in the dataset are written in Norwegian Bokmål.
Dataset Structure
Data Instances
{
'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=4300x128 at 0x1A800E8E190,
'text': 'fredag 1923'
}
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.