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---
license: mit
language:
- ca
task_categories:
- image-to-text
pretty_name: Esposalles-line
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_examples: 2328
- name: validation
num_examples: 742
- name: test
num_examples: 757
dataset_size: 3827
tags:
- atr
- htr
- ocr
- historical
- handwritten
---
# Esposalles - line level
## Table of Contents
- [Esposalles - line level](#esposalles-line-level)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
## Dataset Description
- **Homepage:** [The Esposalles Database](http://dag.cvc.uab.es/the-esposalles-database/)
- **Source:** [IEHHR](https://rrc.cvc.uab.es/?ch=10&com=evaluation&task=1)
- **Paper:** [The ESPOSALLES database: An ancient marriage license corpus for off-line handwriting recognition](https://doi.org/10.1016/j.patcog.2012.11.024)
- **Point of Contact:** [TEKLIA](https://teklia.com)
## Dataset Summary
The Marriage Licenses ground-truth is compiled from the Marriage Licenses Books conserved at the Archives of the Cathedral of Barcelona.
Note that all images are resized to a fixed height of 128 pixels.
### Languages
All the documents in the dataset are written in Catalan.
## Dataset Structure
### Data Instances
```
{
'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=1244x128 at 0x1A800E8E190,
'text': 'donsella filla de Onofre Esquer morraler de Bara y'
}
```
### 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.
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