juliadollis/stf_regex_ner_pierre_21

该数据集包含多个字段，主要涉及法律文档的详细信息，如全文内容、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、全文内容的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。数据集包含一个训练集，大小为129176810字节，包含1000个示例。

This dataset contains multiple fields primarily related to detailed information of legal documents, such as full text content, download links, decision date, publication date, decision content, class description, summary, ID, cited jurisprudence, reporting judge, adjudicating body name, case number, legislative references, class abbreviation, decision type, title, similar judgments, party list text, case themes, full text content regex, and named entity recognition (NER) information. The NER information is further divided into jurisprudence, legislation, location, organization, person, and time. The dataset includes a training set with a size of 129176810 bytes, containing 1000 examples.