juliadollis/stf_ner_pierre_large_cased_fuzzy_regex

该数据集包含多个与法律相关的字段，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、案件主题等。此外，数据集还包含命名实体识别（NER）结果和正则表达式匹配结果，涉及法律、地点、组织、人物等实体。数据集的训练集包含78,477个样本，总大小为6,840,022,077字节。

This dataset contains multiple fields related to legal documents, such as full text content, download links, decision dates, publication dates, decision content, class descriptions, summaries, IDs, cited jurisprudence, judges, adjudicating bodies, case numbers, legislative references, class abbreviations, decision types, titles, similar judgments, party lists, case themes, etc. Additionally, the dataset includes Named Entity Recognition (NER) results and regex matching results, covering entities such as legal references, locations, organizations, and persons. The training set of the dataset contains 78,477 samples, with a total size of 6,840,022,077 bytes.