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
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}
}