README.md

---
task_categories:
- text-classification
language:
- fr
tags:
- urban planning
- natural risks
- risk management
- geography
pretty_name: Local Urban Plans And Natural risks (LUPAN)
size_categories:
- 1K<n<10K
---
# Local Urban Plans And Natural risks (LUPAN)
## Overview

In France, urban planning and natural risk management operate the Local Land Plans (PLU – Plan Local d'Urbanisme) and the Natural risk prevention plans (PPRn – Plan de Prévention des Risques naturels) containing land use rules. To facilitate automatic extraction of the rules, we manually annotated a number of those documents concerning Montpellier, a rapidly evolving agglomeration exposed to natural risks. 

We defined a format for labeled examples in which each entry includes title and subtitle. In addition, we proposed a hierarchical representation of class labels to generalize the use of our corpus. Our corpus, consisting of 1934 textual segments, each of which labeled by one of the 4 classes (Verifiable, Non-verifiable, Informative and Not pertinent) is the first corpus in the French language in the fields of urban planning and natural risk management.

For more details please refer to our article:  https://www.nature.com/articles/s41597-023-02705-y

## Getting started

To load our corpus with `datasets` install them first as `pip install datasets` and then use the following code:
```
from datasets import load_dataset

dataset = load_dataset('herelles/lupan')
```

## Trained model & Example of use

- https://huggingface.co/Herelles/camembert-base-lupan

## Citation

To cite the data set please use:
```
@article{koptelov2023manually,
  title={A manually annotated corpus in French for the study of urbanization and the natural risk prevention},
  author={Koptelov, Maksim and Holveck, Margaux and Cremilleux, Bruno and Reynaud, Justine and Roche, Mathieu and Teisseire, Maguelonne},
  journal={Scientific Data},
  volume={10},
  number={1},
  pages={818},
  year={2023},
  publisher={Nature Publishing Group UK London}
}
```