juliadollis/stf_regex_ner_pierre_5

该数据集包含法律决策相关的多个字段，如完整文本、下载链接、决策日期、发布日期、决策内容、类别描述、摘要、ID、引用的判例、法官、审判机构名称、案件编号、法律参考、类别缩写、决策类型、标题、类似判决、当事人列表、案件主题、完整文本正则表达式以及命名实体识别（NER）结构。NER结构用于识别法律文本中的特定实体类型，如判例、立法、地点、组织、人物和时间。数据集被分为一个训练集，包含1000个样本，总大小为216737059字节。

This dataset includes various legal-related features such as full legal text, download links, decision and publication dates, decision content, class description, summary, unique identifier, cited jurisprudence, reporting judge, court name, case number, legal references, class abbreviation, decision type, title, similar rulings, party list, case themes, regex of the full text content, and named entity recognition (NER). The NER section covers categories like jurisprudence, legislation, location, organization, person, and time. The dataset is divided into a training set with 1000 samples.