german-ler
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下载链接：
https://openxlab.org.cn/datasets/OpenDataLab/german-ler
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资源简介：
A dataset of Legal Documents from German federal court decisions for Named Entity Recognition. The dataset is human-annotated with 19 fine-grained entity classes. The dataset consists of approx. 67,000 sentences and contains 54,000 annotated entities. NER tags use the BIO tagging scheme.
The dataset includes two different versions of annotations, one with a set of 19 fine-grained semantic classes (ner-tags) and another one with a set of 7 coarse-grained classes (ner-coarse-tags). There are 53,632 annotated entities in total, the majority of which (74.34 %) are legal entities, the others are person, location and organization (25.66 %).
提供机构：
OpenDataLab
创建时间：
2023-12-06
