DaNERcorp: a Named Entity Recognition Corpus in the Moroccan Dialect

DaNERcorp is a manually annotated corpus for Named Entity Recognition (NER) in the Moroccan Dialect or Darija. The corpus contains more than 65K tokens, 13.8% of which are named entities. Named entities in the dataset are annotated with one of the following tags, using the IOB2 tagging scheme: person (PER), location (LOC), organization (ORG), miscellaneous (MISC). The distribution of named entities in the dataset is as follows: PER (15.3%), LOC (38.1%), ORG (15.5%), MISC (31.1%).

DaNERcorp是一款面向摩洛哥方言（达里贾语）命名实体识别（Named Entity Recognition，NER）任务的人工标注语料库。该语料库包含超过65,000个Token，其中13.8%为命名实体。数据集中的命名实体采用IOB2标注体系（IOB2 tagging scheme）进行标注，涵盖四类标签：人物（PER）、地点（LOC）、组织机构（ORG）与杂项（MISC）。该数据集中各类命名实体的分布情况如下：人物（PER）占比15.3%，地点（LOC）占比38.1%，组织机构（ORG）占比15.5%，杂项（MISC）占比31.1%。