README.md

metadata

annotations_creators:
  - expert-generated
language_creators:
  - other
language:
  - ko
license:
  - mit
multilinguality:
  - monolingual
size_categories:
  - 1K<n<10K
source_datasets:
  - original
task_categories:
  - token-classification
task_ids:
  - named-entity-recognition
pretty_name: KorNER
dataset_info:
  features:
    - name: text
      dtype: string
    - name: annot_text
      dtype: string
    - name: tokens
      sequence: string
    - name: pos_tags
      sequence:
        class_label:
          names:
            '0': SO
            '1': SS
            '2': VV
            '3': XR
            '4': VCP
            '5': JC
            '6': VCN
            '7': JKB
            '8': MM
            '9': SP
            '10': XSN
            '11': SL
            '12': NNP
            '13': NP
            '14': EP
            '15': JKQ
            '16': IC
            '17': XSA
            '18': EC
            '19': EF
            '20': SE
            '21': XPN
            '22': ETN
            '23': SH
            '24': XSV
            '25': MAG
            '26': SW
            '27': ETM
            '28': JKO
            '29': NNB
            '30': MAJ
            '31': NNG
            '32': JKV
            '33': JKC
            '34': VA
            '35': NR
            '36': JKG
            '37': VX
            '38': SF
            '39': JX
            '40': JKS
            '41': SN
    - name: ner_tags
      sequence:
        class_label:
          names:
            '0': I
            '1': O
            '2': B_OG
            '3': B_TI
            '4': B_LC
            '5': B_DT
            '6': B_PS
  splits:
    - name: train
      num_bytes: 3948938
      num_examples: 2928
    - name: test
      num_bytes: 476850
      num_examples: 366
    - name: validation
      num_bytes: 486178
      num_examples: 366
  download_size: 3493175
  dataset_size: 4911966

Dataset Card for KorNER

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: Github
• Repository: Github
• Paper:
• Leaderboard:
• Point of Contact:

Dataset Summary

[More Information Needed]

Supported Tasks and Leaderboards

[More Information Needed]

Languages

[More Information Needed]

Dataset Structure

Data Instances

[More Information Needed]

Data Fields

Each row consists of the following fields:

• text: The full text, as is
• annot_text: Annotated text including POS-tagged information
• tokens: An ordered list of tokens from the full text
• pos_tags: Part-of-speech tags for each token
• ner_tags: Named entity recognition tags for each token

Note that by design, the length of tokens, pos_tags, and ner_tags will always be identical.

pos_tags corresponds to the list below:

['SO', 'SS', 'VV', 'XR', 'VCP', 'JC', 'VCN', 'JKB', 'MM', 'SP', 'XSN', 'SL', 'NNP', 'NP', 'EP', 'JKQ', 'IC', 'XSA', 'EC', 'EF', 'SE', 'XPN', 'ETN', 'SH', 'XSV', 'MAG', 'SW', 'ETM', 'JKO', 'NNB', 'MAJ', 'NNG', 'JKV', 'JKC', 'VA', 'NR', 'JKG', 'VX', 'SF', 'JX', 'JKS', 'SN']

ner_tags correspond to the following:

["I", "O", "B_OG", "B_TI", "B_LC", "B_DT", "B_PS"]

The prefix B denotes the first item of a phrase, and an I denotes any non-initial word. In addition, OG represens an organization; TI, time; DT, date, and PS, person.

Data Splits

[More Information Needed]

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

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]

Contributions

Thanks to @jaketae for adding this dataset.