juliadollis/stf_regex_ner_pierre_62

该数据集包含法律相关的文档信息，主要特征包括全文内容、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、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。数据集分为训练集，包含1000个样本，总大小为82485139字节。

This dataset contains information related to legal documents, with main features including 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, full text regular expressions, and named entity recognition (NER) information. The NER section includes entities such as jurisprudence, legislation, locations, organizations, persons, and times. The dataset is divided into a training set, containing 1000 samples, with a total size of 82485139 bytes.