Omkar2118/datasets huggingface dataset:
MobIE

**MobIE** is a German-language dataset which is human-annotated with 20 coarse- and fine-grained entity types and entity linking information for geographically linkable entities. The dataset consists of 3,232 social media texts and traffic reports with 91K tokens, and contains 20.5K annotated entities, 13.1K of which are linked to a knowledge base. A subset of the dataset is human-annotated with seven mobility-related, n-ary relation types, while the remaining documents are annotated using a weakly-supervised labeling approach implemented with the Snorkel framework.

The dataset can be used for NER (Named entity recognition), EL (entity linking) and RE (relation extraction), and thus can be used for joint and multi-task learning of these fundamental information extraction tasks.

Introducing paper: MobIE: A German Dataset for Named Entity Recognition, Entity Linking and Relation Extraction in the Mobility Domain