Datasets:
File size: 2,064 Bytes
0a06c1c 10d0194 2725c76 10d0194 61bad0a 2725c76 0a06c1c 10d0194 61bad0a 10d0194 61bad0a 10d0194 34fe7de 8de0a73 10d0194 c36e868 61bad0a 10d0194 61bad0a 10d0194 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 |
---
license: mit
language:
- nb
task_categories:
- image-to-text
pretty_name: NorHand-v1-line
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
- [NorHand v1 - line level](#norhand-v1-line-level)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
## Dataset Description
- **Homepage:** [Hugin-Munin project](https://hugin-munin-project.github.io/)
- **Source:** [Zenodo](https://zenodo.org/records/6542056)
- **Paper:** [A Comprehensive Comparison of Open-Source Libraries for Handwritten Text Recognition in Norwegian](https://link.springer.com/chapter/10.1007/978-3-031-06555-2_27)
- **Point of Contact:** [TEKLIA](https://teklia.com)
## 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. |