---
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.