juliadollis/stf_regex_ner_pierre_40

该数据集包含多个字段，涵盖了法律决策的各个方面，如全文内容、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、立法引用、类别缩写、决策类型、标题、类似判决、当事人列表、案件主题、全文内容的正则表达式以及命名实体识别（NER）信息。NER部分包括判例、立法、地点、组织、人物和时间等序列类型字段。数据集分为一个训练集，包含1000个样本，总大小为93080400字节。

This dataset includes multiple fields covering various aspects of legal decisions, such as full text content, download links, decision dates, publication dates, decision content, class descriptions, summaries, IDs, cited jurisprudence, judges, 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 section includes sequence-type fields such as jurisprudence, legislation, locations, organizations, persons, and times. The dataset is divided into a training set containing 1000 samples, with a total size of 93080400 bytes.