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The corpus belongs to the paper "Design and Implementation of German Legal Decision Corpora" from Urchs et al.[1]. Please cite [1] when using the corpus. [1] Urchs Stefanie, Mitrović Jelena, and Granitzer Michael. "Design and Implementation of German Legal Decision Corpora" ICAART. 2021. This corpus consits of 32,748 decisions of Bavarian courts (between 2015 and 2020), enriched with meta data. The decisisons are provided on the website www.gesetze-bayern.de. These decisions are safed in the following JSON format: { "meta": { "meta_title": "", "court": "", "decision_style": "", "date": "", "file_number":"", "title": "", "norm_chains": ["", ""], "decision_guidelines": ["", ""], "keywords": "", "lower_court": ["", ""], "additional_information": "", "decision_reference": "" }, "decision_text": { "tenor": ["",""], "legal_facts": ["",""], "decision_reasons": ["",""] } } metadata fields (not all fields are always filled): - Meta Title: Title of the decision as stated on the website - Court: Name of the issuing court - Decision Style: Style of the decision - Date: Issuing date - File Number: File number of the descision - Title: Title of the decision as stated by the court - Norm Chains: Norms related to the decision - Decision Guideline: Guidlines that lead to the decision - Keywords: Keywords associated with the decision - Lower Court: Court that worked with this decision beforehand - Additional Information: more information - Decison reference: reference to the decision in beck-online The descision text is structured in three parts, not all parts are always filled. - Tenor: short description of the outcomes of the legal decision issued by the court - Legal Facts: Statment of all facts that lead to a decision - Decision Reasons: Indepth explanaition why a court decided in a certain way.
{"references": ["Urchs Stefanie, Mitrovi\u0107 Jelena, and Granitzer Michael. \"Design and Implementation of German Legal Decision Corpora\" ICAART. 2021."]}
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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