Dataset Card for "polstance"

Dataset Summary

Political stance in Danish. Examples represent statements by politicians and are annotated for, against, or neutral to a given topic/article.

Supported Tasks and Leaderboards

*

Languages

Danish, bcp47: da-DK

Dataset Structure

Data Instances

polstance

An example of 'train' looks as follows.

{
  'id': '0', 
  'topic': 'integration', 
  'quote': 'Der kunne jeg godt tænke mig, at der stod mere eksplicit, at de (landene, red.) skal bekæmpe menneskesmuglere og tage imod deres egne borgere', 
  'label': 2, 
  'quoteID': '516', 
  'party': 'Det Konservative Folkeparti', 
  'politician': 'Naser Khader', 
}

Data Fields

• id: a string feature.
• topic: a string expressing a topic.
• quote: a string to be classified for its stance to the topic.
• label: a class label representing the stance the text expresses towards the target. Full tagset with indices:

                            0: "against",
                            1: "neutral",
                            2: "for",

• quoteID: a string of the internal quote ID.
• party: a string describing the party affiliation of the quote utterer at the time of utterance.
• politician: a string naming the politician who uttered the quote.

Data Splits

name	train
polstance	900 sentences

Dataset Creation

Curation Rationale

Collection of quotes from politicians to allow detecting how political quotes orient to issues.

Source Data

Initial Data Collection and Normalization

The data is taken from proceedings of the Danish parliament, the Folketing - ft.dk.

Who are the source language producers?

Danish polticians

Annotations

Annotation process

Annotators labelled comments for being against, neutral, or for a specified topic

Who are the annotators?

Danish native speakers, 20s, male, studying Software Design.

Personal and Sensitive Information

The data was public at the time of collection and will remain open public record by law in Denmark.

Considerations for Using the Data

Social Impact of Dataset

Discussion of Biases

Other Known Limitations

The above limitations apply.

Additional Information

Dataset Curators

The dataset is curated by the paper's authors.

Licensing Information

The authors distribute this data under Creative Commons attribution license, CC-BY 4.0.

Citation Information

@inproceedings{lehmann2019political,
  title={Political Stance in Danish},
  author={Lehmann, Rasmus and Derczynski, Leon},
  booktitle={Proceedings of the 22nd Nordic Conference on Computational Linguistics},
  pages={197--207},
  year={2019}
}

Contributions

Author-added dataset @leondz