juliadollis/stf_regex_ner_pierre_34

该数据集主要包含法律相关的文本数据，涵盖了判决全文、下载链接、决策日期、发布日期、判决内容、类别描述、摘要、ID、引用的判例、法官、审判机构名称、案件编号、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、全文内容的正则表达式以及命名实体识别（NER）信息。NER部分包括判例、立法、地点、组织、人物和时间等实体。数据集分为一个训练集，包含1000个样本，总大小为88565469字节。

This dataset primarily contains legal-related text data, including full texts of judgments, download links, decision dates, publication dates, judgment 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, full text regular expressions, and named entity recognition (NER) information. The NER section includes entities 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 88565469 bytes.