juliadollis/stf_regex_ner_pierre_73

该数据集包含了法律文档的详细信息，涵盖了文档的全文、下载链接、决策日期、发布日期、决策内容、类别描述、摘要、ID、引用的判例、法官姓名、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、全文正则表达式以及命名实体识别（NER）信息。NER部分进一步细分为判例、立法、地点、组织、人物和时间等子字段。数据集被分割为训练集，包含1000个样本，总大小为98351917字节，下载大小为26567785字节。

This dataset contains detailed information on legal documents, including the full text of the documents, 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 section is further subdivided into subfields such as jurisprudence, legislation, location, organization, person, and time. The dataset is divided into a training set containing 1000 samples, with a total size of 98351917 bytes and a download size of 26567785 bytes.