A Dataset of German Legal Documents for Named Entity Recognition

Understand

We describe a dataset developed for Named Entity Recognition in German federal court decisions.

• It consists of approx.
• 67,000 sentences with over 2 million tokens.
• The resource contains 54,000 manually annotated entities, mapped to 19 fine-grained semantic classes: person, judge, lawyer, country, city, street, landscape, organization, company, institution, court, brand, law, ordinance, European legal norm, regulation, contract, court decision, and legal literature.