juliadollis/stf_regex_ner_completo_fuzzy_80_subst_teste
收藏Hugging Face2024-12-10 更新2024-12-14 收录
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https://hf-mirror.com/datasets/juliadollis/stf_regex_ner_completo_fuzzy_80_subst_teste
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资源简介：
该数据集包含多个特征，包括id、NER、NER_sub和substituicoes。NER和NER_sub特征进一步细分为JURISPRUDENCIA、LEGISLACAO、LOCAL、ORGANIZACAO、PESSOA和TEMPO等子特征。substituicoes特征列出了多个法律条文的名称及其数据类型。数据集包含一个训练集，大小为285510字节，包含10个示例。
This dataset is likely for Named Entity Recognition (NER) tasks in legal texts, featuring multiple attributes such as id, NER, NER_sub, and substituicoes, involving different entity types in legal texts and specific legal articles. The dataset is divided into a training set with 10 samples.
提供机构：
juliadollis
