juliadollis/stf_regex_ner_pierre_44

该数据集包含法律决策相关的详细信息，涵盖了决策的全文、下载链接、决策日期、发布日期、决策内容、类别描述、摘要、ID、引用的法律条文、法官姓名、审判机构名称、案件编号、相关法律参考、类别缩写、决策类型、标题、类似判决、当事人列表、案件主题、全文正则表达式以及命名实体识别（NER）信息。NER部分用于识别法律文本中的特定实体，如法律条文、地点、组织、人物和时间。数据集分为训练集，包含1000个样本，总大小为78,865,976字节。

This dataset contains detailed information related to legal decisions, including the full text of decisions, download links, decision dates, publication dates, decision content, class descriptions, summaries, IDs, cited jurisprudence, judge names, adjudicating body names, case numbers, legislative references, class abbreviations, decision types, titles, similar judgments, party lists, case themes, full text regular expressions, and named entity recognition (NER) information. The NER part is used to identify specific entities in legal texts, such as legal provisions, locations, organizations, persons, and times. The dataset is divided into a training set containing 1000 samples, with a total size of 78,865,976 bytes.