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Dataset Card for Swedish NER Corpus
Dataset Summary
Webbnyheter 2012 from Spraakbanken, semi-manually annotated and adapted for CoreNLP Swedish NER. Semi-manually defined in this case as: Bootstrapped from Swedish Gazetters then manually correcte/reviewed by two independent native speaking swedish annotators. No annotator agreement calculated.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
Swedish
Dataset Structure
Data Instances
A sample dataset instance is provided below:
{'id': '3',
'ner_tags': [4, 4, 0, 0, 0, 0, 0, 0, 3, 3, 0],
'tokens': ['Margaretha',
'Fahlgren',
',',
'professor',
'i',
'litteraturvetenskap',
',',
'vice-rektor',
'Uppsala',
'universitet',
'.']}
Data Fields
id: id of the sentencetoken: current tokenner_tag: ner tag of the token
Full fields:
{
"id":{
"feature_type":"Value"
"dtype":"string"
}
"tokens":{
"feature_type":"Sequence"
"feature":{
"feature_type":"Value"
"dtype":"string"
}
}
"ner_tags":{
"feature_type":"Sequence"
"dtype":"int32"
"feature":{
"feature_type":"ClassLabel"
"dtype":"int32"
"class_names":[
0:"0"
1:"LOC"
2:"MISC"
3:"ORG"
4:"PER"
]
}
}
}
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
The original dataset was provided by Språkbanken which consists of news from Swedish newspapers' websites.
Licensing Information
https://github.com/klintan/swedish-ner-corpus/blob/master/LICENSE
Citation Information
[More Information Needed]
Contributions
Thanks to @abhishekkrthakur for adding this dataset.
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