juliadollis/stf_regex_ner_pierre_35

该数据集包含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、法官名称、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。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。数据集分为训练集，包含1000个样本，总大小为79694483字节，下载大小为22028261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 divided 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 79694483 bytes and a download size of 22028261 bytes.