German legal decision corpus
收藏Mendeley Data2024-03-27 更新2024-06-27 收录
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https://zenodo.org/record/3936726
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资源简介:
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.
创建时间:
2023-06-28
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集包含2015-2020年间32,748份巴伐利亚法院裁决,以结构化JSON格式存储,包含丰富的元数据和分三部分的裁决文本。数据集与特定研究论文相关,使用时需遵守引用要求。
以上内容由遇见数据集搜集并总结生成



