juliadollis/stf_regex_ner_pierre_77

该数据集包含法律文档的多个字段信息，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、法官、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、全文内容的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73132050字节，下载大小为19277481字节。

This dataset contains multiple fields of legal documents, such as full text content, download links, decision dates, publication dates, decision content, class descriptions, summaries, IDs, cited jurisprudence, judges, adjudicating body names, case numbers, legislative references, class abbreviations, decision types, titles, similar judgments, party lists, case themes, regular expressions of full text content, 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 73132050 bytes and a download size of 19277481 bytes.