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---
license: mit
task_categories:
- token-classification
language:
- de
tags:
- relation extraction
- entity extraction
- legal
- tax law
pretty_name: Key Figures from german Tax Acts
size_categories:
- n<1K
---
# Dataset Card for Dataset Name
## Dataset Description
This dataset contains Key Figures with their properties from german tax acts. The dataset is annotated by tax experts and consists of 85 annotated paragraphs from 14 different German tax acts with 157 annotated tax key figures.
The annotation was performed based on a developed universally applicable annotation schema and a semantic model for key figures and their properties in legal texts.
More details about the schema and the semantic model can be found in our [Paper](https://ceur-ws.org/Vol-3441/paper7.pdf). There we also provide a knowledge graph populated from these annotated paragraphs.
- **Repository:** https://github.com/danielsteinigen/nlp-legal-texts
- **Paper:** https://ceur-ws.org/Vol-3441/paper7.pdf
### Supported Tasks and Leaderboards
- Entity Extraction
- Relation Extraction
### Languages
- German
## Dataset Structure
### Data Fields
- **id:** a unique ID of the data sample
- **law:** the abbreviation of the law from which this parapgraph originates
- **paragraph:** the title of the paragraph
- **text:** the actual text string of the paragraph
- **entities:** list of entity objects
- **relation:** list of relation objects
Entities:
- **id:** a unique ID of the entity
- **start:** start character offset of the entity
- **end:** end character offset of the entity
- **entity:** label/name of the entity
- **subclass:** entity subclass, if there is one, else NULL
- **text:** text string of the entity
Relations:
- **id:** a unique ID of the realation
- **head:** ID of the head entity
- **tail:** ID of the tail entity
- **relation:** label/name of the relation
## Dataset Creation
More details about the annotation process can be found in our [Paper](https://ceur-ws.org/Vol-3441/paper7.pdf).
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