README.md

metadata

annotations_creators:
  - expert-generated
language_creators:
  - found
language:
  - sv
license:
  - cc-by-4.0
multilinguality:
  - monolingual
size_categories:
  - 1K<n<10K
source_datasets:
  - original
task_categories:
  - token-classification
task_ids:
  - named-entity-recognition
pretty_name: Swedish NER Corpus
dataset_info:
  features:
    - name: id
      dtype: string
    - name: tokens
      sequence: string
    - name: ner_tags
      sequence:
        class_label:
          names:
            '0': '0'
            '1': LOC
            '2': MISC
            '3': ORG
            '4': PER
  splits:
    - name: train
      num_bytes: 2032630
      num_examples: 6886
    - name: test
      num_bytes: 755234
      num_examples: 2453
  download_size: 1384558
  dataset_size: 2787864

Dataset Card for Swedish NER Corpus

Table of Contents

• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • Contributions

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:

{'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:

{
  "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.