README.md

---
license: mit
language:
- la
task_categories:
- image-to-text
pretty_name: HOME-Alcar-line
dataset_info:
  features:
  - name: image
    dtype: image
  - name: text
    dtype: string
  splits:
  - name: train
    num_examples: 59969
  - name: validation
    num_examples: 7905
  - name: test
    num_examples: 6932
  dataset_size: 74806
tags:
  - atr
  - htr
  - ocr
  - historical
  - handwritten
---

# HOME-Alcar - line level

## Table of Contents
- [HOME-Alcar - line level](#home-alcar-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:** [HOME](https://www.heritageresearch-hub.eu/project/home/)
- **Source:** [Arkindex](https://demo.arkindex.org/browse/46b9b1f4-baeb-4342-a501-e2f15472a276?top_level=true&folder=true)
- **Point of Contact:** [TEKLIA](https://teklia.com)

## Dataset Summary 

The HOME-Alcar (Aligned and Annotated Cartularies) dataset is a Medieval corpus. The 17 medieval manuscripts in this corpus are cartularies, i.e. books copying charters and legal acts, produced between the 12th and 14th centuries. 

Note that all images are resized to a fixed height of 128 pixels.

### Languages

All the documents in the dataset are written in Latin.

## Dataset Structure

### Data Instances

```
{
  'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=4300x128 at 0x1A800E8E190,
  'text': 'quatre mille livres de tournoiz poiez, si com¬'
}
```

### 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.