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Dataset Card for KorNER
Dataset Summary
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Supported Tasks and Leaderboards
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Languages
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Dataset Structure
Data Instances
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Data Fields
Each row consists of the following fields:
text: The full text, as isannot_text: Annotated text including POS-tagged informationtokens: An ordered list of tokens from the full textpos_tags: Part-of-speech tags for each tokenner_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
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Dataset Creation
Curation Rationale
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Source Data
Initial Data Collection and Normalization
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Who are the source language producers?
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Annotations
Annotation process
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Who are the annotators?
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Personal and Sensitive Information
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Considerations for Using the Data
Social Impact of Dataset
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Discussion of Biases
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Other Known Limitations
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Additional Information
Dataset Curators
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Licensing Information
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Citation Information
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Contributions
Thanks to @jaketae for adding this dataset.
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