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klintan/swedish_ner_corpus

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.

sourceHugging Facecc-by-4.0updated 3y agoView on Hugging Face
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Dataset Card

Dataset Card for Swedish NER Corpus

Table of Contents

Dataset Description

  • —Homepage: [https://github.com/klintan/swedish-ner-corpus]()
  • —Repository: [https://github.com/klintan/swedish-ner-corpus]()
  • —Point of contact: Andreas Klintberg

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:

json
{'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 sentence
  • —token: current token
  • —ner_tag: ner tag of the token

Full fields:

json
{
  "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.