CoolFace
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mpsilfve/finer

The directory data contains a corpus of Finnish technology related news articles with a manually prepared named entity annotation (digitoday.2014.csv). The text material was extracted from the archives of Digitoday, a Finnish online technology news source (www.digitoday.fi). The corpus consists of 953 articles (193,742 word tokens) with six named entity classes (organization, location, person, product, event, and date). The corpus is available for research purposes and can be readily used for development of NER systems for Finnish.

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Table of Contents

Dataset Description

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

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:

  • id: The sentence id
  • tokens: An ordered list of tokens from the full text
  • ner_tags: Named entity recognition tags for each token
  • nested_ner_tags: Nested named entity recognition tags for each token

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

ner_tags and nested_ner_tags correspond to the list below:

[ "O", "B-DATE", "B-EVENT", "B-LOC", "B-ORG", "B-PER", "B-PRO", "I-DATE", "I-EVENT", "I-LOC", "I-ORG", "I-PER", "I-PRO" ]

IOB2 labeling scheme is used.

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 @stefan-it for adding this dataset.