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Add datsaset summary to dataset card (#2)
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metadata
annotations_creators:
  - expert-generated
language_creators:
  - other
language:
  - da
license:
  - unknown
multilinguality:
  - monolingual
size_categories:
  - 1K<n<10K
source_datasets:
  - original
task_categories:
  - text-classification
task_ids:
  - multi-class-classification
pretty_name: DanishPoliticalComments
dataset_info:
  features:
    - name: id
      dtype: string
    - name: sentence
      dtype: string
    - name: target
      dtype:
        class_label:
          names:
            '0': '2'
            '1': '1'
            '2': '0'
            '3': '-1'
            '4': '-2'
  splits:
    - name: train
      num_bytes: 829569
      num_examples: 9008
  download_size: 690873
  dataset_size: 829569

Dataset Card for DanishPoliticalComments

Table of Contents

Dataset Description

Dataset Summary

The dataset consists of 9008 sentences that are labeled with fine-grained polarity in the range from -2 to 2 (negative to positive). The quality of the fine-grained is not cross-validated and is therefore subject to uncertainties; however, the simple polarity has been cross-validated and therefore is considered to be more correct.

Supported Tasks and Leaderboards

[More Information Needed]

Languages

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Dataset Structure

Data Instances

[More Information Needed]

Data Fields

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Data Splits

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Dataset Creation

Curation Rationale

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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

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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 @abhishekkrthakur for adding this dataset.