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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: astringfeature.topic: astringexpressing a topic.quote: astringto 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: astringof the internal quote ID.party: astringdescribing the party affiliation of the quote utterer at the time of utterance.politician: astringnaming 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
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