juliadollis/stf_regex_ner_pierre_56

该数据集包含法律文档的多个特征字段，如全文、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、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）信息。数据集分为训练集，包含1000个样本，总大小为74,806,409字节。

The dataset contains legal text data, including the full text of cases, download links, decision dates, publication dates, decision content, class descriptions, summaries, unique identifiers, cited precedents, reporting judges, names of adjudicating bodies, case numbers, legal references, class abbreviations, decision types, titles, similar rulings, text lists of parties involved, case themes, regular expressions of text content, and Named Entity Recognition (NER) information. The NER section includes categories such as legal precedents, legislation, locations, organizations, persons, and time. The dataset is divided into a training set with 1000 samples, with a download size of 19814022 bytes and a dataset size of 74806409 bytes.