juliadollis/stf_regex_ner_pierre_66

该数据集包含多个字段，主要涉及法律文档的详细信息，如判决全文、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、报告法官、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、当事人列表文本、案件主题、全文正则表达式以及命名实体识别（NER）信息。NER信息进一步细分为判例、立法、地点、组织、人物和时间等子类别。数据集包含一个训练分割，共有1000个样本，总大小为86312756字节。

This dataset includes multiple fields related to detailed information of legal documents, such as the full text of the judgment, download URL, decision date, publication date, decision content, class description, summary, ID, cited jurisprudence, reporting judge, name of the adjudicating body, case number, legislative references, class abbreviation, type of decision, title, similar judgments, list of parties text, case themes, full text regex, and named entity recognition (NER) information. The NER information is further subdivided into subcategories such as jurisprudence, legislation, location, organization, person, and time. The dataset contains a training split with a total of 1000 samples and a total size of 86312756 bytes.