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
tags:
- atr
- htr
- ocr
- historical
- handwritten
NorHand v1 - line level
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.
Note that all images are resized to a fixed height of 128 pixels.
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 (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.