Datasets:
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---
license: mit
language:
- de
task_categories:
- image-to-text
pretty_name: NewsEye Austrian
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_examples: 51588
- name: validation
num_examples: 4379
dataset_size: 55967
tags:
- atr
- htr
- ocr
- historical
- printed
---
# NewsEye Austrian - line level
## Table of Contents
- [NewsEye Austrian - line level](#newseye-austrian-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:** [NewsEye project](https://www.newseye.eu/)
- **Source:** [Zenodo](https://zenodo.org/records/3387369)
- **Point of Contact:** [TEKLIA](https://teklia.com)
## Dataset Summary
The dataset comprises Austrian newspaper pages from 19th and early 20th century. The images were provided by the Austrian National Library.
### Languages
The documents are in Austrian German with the Fraktur font.
Note that all images are resized to a fixed height of 128 pixels.
## Dataset Structure
### Data Instances
```
{
'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=4300x128 at 0x1A800E8E190,
'text': 'Mann; und als wir uns zum Angriff stark genug'
}
```
### 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. |