Annotated insights into legal reasoning: A dataset of Article 6 ECHR cases

J. Mumford, Katie Atkinson, T. Bench-Capon
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Abstract

We present a novel annotated dataset of legal cases pertaining to Article 6 – the right to a fair trial – of the European Convention on Human Rights (ECHR). This dataset will serve as a useful resource to the research community, to assist in the training and evaluation of AI systems designed to embody the legal reasoning involved in determining the appropriate legal outcome from a description of the case material. The annotations were applied to provide finer-grain classifications of legal cases at the document level. Each classification label was sourced from a domain knowledge model, derived with legal expert guidance and known as an Angelic Domain Model (ADM), such that the classifications correspond to the actual legal rationales used by the Court when determining the outcome of a given case. We discuss our annotation pipeline, including annotator training, inter-annotator reliability evaluation, and the dissemination of the annotation outputs and associated metadata.
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对法律推理的注释式洞察:欧洲人权公约》第 6 条案件数据集
我们介绍了一个新颖的法律案件注释数据集,该数据集与《欧洲人权公约》(ECHR)第 6 条--公平审判权--有关。该数据集将成为研究界的有用资源,有助于培训和评估人工智能系统,这些系统旨在体现根据案件材料描述确定适当法律结果所涉及的法律推理。注释用于在文档级别对法律案件进行更精细的分类。每个分类标签都来自一个领域知识模型,该模型是在法律专家的指导下生成的,被称为天使领域模型(ADM),这样的分类与法院在确定特定案件结果时使用的实际法律依据相对应。我们将讨论我们的注释流程,包括注释员培训、注释员之间的可靠性评估以及注释输出和相关元数据的传播。
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A tribute to Trevor Bench-Capon (1953–2024) ω-Groundedness of argumentation and completeness of grounded dialectical proof procedures Evaluating large language models’ ability to generate interpretive arguments Annotated insights into legal reasoning: A dataset of Article 6 ECHR cases The third and fourth international competitions on computational models of argumentation: Design, results and analysis
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