juliadollis/stf_regex_ner_pierre_60

该数据集包含了多个字段，主要涉及法律相关的信息，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、法官姓名、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、当事人列表文本、案件主题等。此外，数据集还包含一个名为NER的结构体，用于存储命名实体识别结果，如判例、立法、地点、组织、人物和时间等。数据集分为训练集，包含1000个样本，总大小为77069694字节。

This dataset contains multiple fields primarily related to legal information, such as the full text of the judgment, download link, decision date, publication date, decision content, class description, summary, ID, cited jurisprudence, judges name, adjudicating body name, case number, legislative references, class abbreviation, decision type, title, similar judgments, party list text, case themes, etc. Additionally, the dataset includes a structure named NER for storing named entity recognition results, 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 77069694 bytes.