---
license: mit
language:
- fr
task_categories:
- image-to-text
pretty_name: Belfort
dataset_info:
  features:
  - name: image
    dtype: image
  - name: text
    dtype: string
  splits:
  - name: train
    num_examples: 97883
  - name: validation
    num_examples: 4519
  - name: test
    num_examples: 2829
  dataset_size: 105231
---

# Belfort Dataset

The Belfort dataset includes minutes of the municipal council of the French city of Belfort. Text lines were extracted using an automatic model and may contain segmentation errors. 

## Table of Contents
- [Belfort Dataset](#belfort-dataset)
  - [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:** [Belfort city archives](https://teklia.com/blog/202211-belfort-en/)
- **Source:** [Zenodo](https://zenodo.org/records/8041668)
- **Paper:** [Handwritten Text Recognition from Crowdsourced Annotations](https://doi.org/10.1145/3604951.3605517)
- **Point of Contact:** [TEKLIA](https://teklia.com)

### Languages

All the documents in the dataset are written in French.

## Dataset Structure

### Data Instances

```
{
  'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=4300x128 at 0x1A800E8E190,
  'text': 'les intérêts des 30000 francs jusqu'au moment de la'
}
```

### Data Fields


- `image`: A PIL.Image.Image object containing the image. Note that when accessing the image column: 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.