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---
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
- 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}
}
``` |