ArmanPerosNERCorpus

ArmanPerosNERCorpus是由伊斯法罕大学创建的波斯语命名实体数据集，包含7,682个波斯语句子和250,015个标记。该数据集通过人工标注，分为六类命名实体，如人名、组织、地点等。创建过程中，数据集被分为三个折叠用于训练和测试。该数据集主要用于低资源语言如波斯语的命名实体识别任务，旨在解决缺乏标注训练数据的问题。ArmanPerosNERCorpus is a Persian named entity corpus developed by the University of Isfahan. It contains 7,682 Persian sentences and 250,015 labeled tokens. This manually annotated corpus is categorized into six types of named entities, including personal names, organizations, locations, and others. During its construction, the corpus was split into three folds for training and testing. Primarily designed for named entity recognition (NER) tasks in low-resource languages such as Persian, this dataset aims to address the scarcity of annotated training data.