juliadollis/stf_regex_ner_pierre_32

该数据集主要包含法律相关的文本数据，涵盖了判决全文、下载链接、决策日期、发布日期、决策内容、类别描述、摘要、ID、引用的判例、主审法官、审判机构名称、案件编号、立法参考、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）等信息。NER部分进一步细分为判例、立法、地点、组织、人物和时间等子类别。数据集被分为训练集，包含1000个样本，总大小为91131018字节。

This dataset primarily contains legal-related text data, encompassing full texts of judgments, download links, decision dates, publication dates, decision content, class descriptions, summaries, IDs, cited jurisprudence, rapporteur judges, names of adjudicating bodies, case numbers, legislative references, class abbreviations, decision types, titles, similar judgments, lists of parties, case themes, full-text regular expressions, and named entity recognition (NER). The NER section is further subdivided into jurisprudence, legislation, location, organization, person, and time. The dataset is divided into a training set containing 1000 samples, with a total size of 91131018 bytes.