Envargs - Labelling Environmental Belgian Case Law ...

This dataset contains cases from the Belgian administrative law, the topic of law they belong to, as well as an additional binary label that determines if the case can be considered as an 'environmental law' case. Files description: - topics_env.csv : the columns contains the list of specific topics that are considered to be 'environmental law' topics. Under each topic is the list of case_numbers that are related to that topic of law. - topics_non_env.csv : the columns contains the list of specific topics that are considered not to be 'environmental law' topics. Under each topic is the list of... Mehr ...

Verfasser: Meyers, Marion
Haegen, Matthias Van Der
Dokumenttyp: dataset
Erscheinungsdatum: 2020
Verlag/Hrsg.: Zenodo
Schlagwörter: environmental law / case law / classification / Belgian
Sprache: Französisch
Permalink: https://search.fid-benelux.de/Record/base-28884232
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://dx.doi.org/10.5281/zenodo.3922293

This dataset contains cases from the Belgian administrative law, the topic of law they belong to, as well as an additional binary label that determines if the case can be considered as an 'environmental law' case. Files description: - topics_env.csv : the columns contains the list of specific topics that are considered to be 'environmental law' topics. Under each topic is the list of case_numbers that are related to that topic of law. - topics_non_env.csv : the columns contains the list of specific topics that are considered not to be 'environmental law' topics. Under each topic is the list of case_numbers that are related to that topic of law. - labelled_case_dataset.csv : this file contains all the cases together with their text and their label (0 if non-environmental, 1 if environmental). The columns are the following: ['case_number', 'topic', 'year', 'case_text', 'label']. The 'case_text' filed contain the raw text of the case (no pre-processing applied). - labelled_case_dataset_lemmatized.csv: this file ...