Datasets:
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---
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. |