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README.md
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pretty_name: Local Urban Plans And Natural risks (LUPAN)
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size_categories:
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- 1K<n<10K
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---
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pretty_name: Local Urban Plans And Natural risks (LUPAN)
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size_categories:
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- 1K<n<10K
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---
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# Overview
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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.
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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.
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For more details please refer to our article: https://www.nature.com/articles/s41597-023-02705-y
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# Example of use
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- https://entrepot.recherche.data.gouv.fr/file.xhtml?persistentId=doi:10.57745/EGGFEX&version=4.0
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# Citation
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To cite the data set please use:
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```
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@article{koptelov2023manually,
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title={A manually annotated corpus in French for the study of urbanization and the natural risk prevention},
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author={Koptelov, Maksim and Holveck, Margaux and Cremilleux, Bruno and Reynaud, Justine and Roche, Mathieu and Teisseire, Maguelonne},
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journal={Scientific Data},
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volume={10},
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number={1},
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pages={818},
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year={2023},
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publisher={Nature Publishing Group UK London}
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}
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```
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To cite the code please use:
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```
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@inproceedings{koptelov2023towards,
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title={Towards a (Semi-) Automatic Urban Planning Rule Identification in the French Language},
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author={Koptelov, Maksim and Holveck, Margaux and Cremilleux, Bruno and Reynaud, Justine and Roche, Mathieu and Teisseire, Maguelonne},
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booktitle={2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA)},
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pages={1--10},
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year={2023},
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organization={IEEE}
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}
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```
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