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
---
# 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

# Example of use

- https://entrepot.recherche.data.gouv.fr/file.xhtml?persistentId=doi:10.57745/EGGFEX&version=4.0

# 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}
}
 ```

To cite the code please use:
```
@inproceedings{koptelov2023towards,
  title={Towards a (Semi-) Automatic Urban Planning Rule Identification in the French Language},
  author={Koptelov, Maksim and Holveck, Margaux and Cremilleux, Bruno and Reynaud, Justine and Roche, Mathieu and Teisseire, Maguelonne},
  booktitle={2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA)},
  pages={1--10},
  year={2023},
  organization={IEEE}
}
```