Datasets:
Tasks:
Token Classification
Sub-tasks:
named-entity-recognition
Languages:
German
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Language Creators:
found
Annotations Creators:
crowdsourced
Source Datasets:
original
Tags:
License:
metadata
annotations_creators: []
language_creators: []
languages:
- de
licenses:
- other-ASL 2-0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- structure-prediction
task_ids:
- named-entity-recognition
Dataset Card Creation Guide
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: None
- Repository: https://github.com/tudarmstadt-lt/GermaNER
- Paper: https://pdfs.semanticscholar.org/b250/3144ed2152830f6c64a9f797ab3c5a34fee5.pdf
- Leaderboard: If the dataset supports an active leaderboard, add link here
- Point of Contact: Darina Benikova (benikova@aiphes.tu-darmstadt.de,)
Dataset Summary
[More Information Needed]
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
Here are some examples of questions and facts:
- What American cartoonist is the creator of Andy Lippincott? Fact: (andy_lippincott, character_created_by, garry_trudeau)
- Which forest is Fires Creek in? Fact: (fires_creek, containedby, nantahala_national_forest)
- What does Jimmy Neutron do? Fact: (jimmy_neutron, fictional_character_occupation, inventor)
- What dietary restriction is incompatible with kimchi? Fact: (kimchi, incompatible_with_dietary_restrictions, veganism)
Data Fields
[More Information Needed]
Data Splits
[More Information Needed]
Dataset Creation
Curation Rationale
[More Information Needed]
Source Data
[More Information Needed]
Initial Data Collection and Normalization
[More Information Needed]
Who are the source language producers?
[More Information Needed]
Annotations
[More Information Needed]
Annotation process
[More Information Needed]
Who are the annotators?
[More Information Needed]
Personal and Sensitive Information
[More Information Needed]
Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
[More Information Needed]
Licensing Information
[More Information Needed]
Citation Information
[More Information Needed]