
# Dataset Card for "polstance"

## Table of Contents
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
  - [Curation Rationale](#curation-rationale)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
  - [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
  - [Social Impact of Dataset](#social-impact-of-dataset)
  - [Discussion of Biases](#discussion-of-biases)
  - [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)
  - [Contributions](#contributions)

## Dataset Description

- **Homepage:** [https://stromberg.ai/publication/politicalstanceindanish/](https://stromberg.ai/publication/politicalstanceindanish/)
- **Repository:** [https://github.com/StrombergNLP/Political-Stance-in-Danish/](https://github.com/StrombergNLP/Political-Stance-in-Danish/)
- **Paper:** [https://aclanthology.org/W19-6121/](https://aclanthology.org/W19-6121/)
- **Point of Contact:** [Leon Derczynski](https://github.com/leondz)
- **Size of downloaded dataset files:** 548 KB
- **Size of the generated dataset:** 222 KB
- **Total amount of disk used:**  770 KB

### 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](https://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](https://github.com/leondz) 

task_categories:text-classification task_ids:sentiment-analysis annotations_creators:expert-generated language_creators:found multilinguality:monolingual size_categories:n<1K source_datasets:original language:da license:cc-by-4.0 stance-detection region:us
{"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["da"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["sentiment-analysis"], "paperswithcode_id": "polstance", "pretty_name": "Political Stance for Danish", "tags": ["stance-detection"]}
TAGS
#task_categories-text-classification #task_ids-sentiment-analysis #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-n<1K #source_datasets-original #language-Danish #license-cc-by-4.0 #stance-detection #region-us 

Dataset Card for "polstance"
============================


Table of Contents
-----------------


* Dataset Description
	+ Dataset Summary
	+ Supported Tasks and Leaderboards
	+ Languages
* Dataset Structure
	+ Data Instances
	+ Data Fields
	+ Data Splits
* Dataset Creation
	+ Curation Rationale
	+ Source Data
	+ Annotations
	+ Personal and Sensitive Information
* Considerations for Using the Data
	+ Social Impact of Dataset
	+ Discussion of Biases
	+ Other Known Limitations
* Additional Information
	+ Dataset Curators
	+ Licensing Information
	+ Citation Information
	+ Contributions


Dataset Description
-------------------


* Homepage: URL
* Repository: URL
* Paper: URL
* Point of Contact: Leon Derczynski
* Size of downloaded dataset files: 548 KB
* Size of the generated dataset: 222 KB
* Total amount of disk used: 770 KB


### 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.


### 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:
* '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



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 - URL.


#### 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.


### Contributions


Author-added dataset @leondz



### 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. ### 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:
* '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



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 - URL. #### 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. ### Contributions


Author-added dataset @leondz
TAGS
#task_categories-text-classification #task_ids-sentiment-analysis #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-n<1K #source_datasets-original #language-Danish #license-cc-by-4.0 #stance-detection #region-us 
 ### 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. ### 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:
* '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



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 - URL. #### 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. ### Contributions


Author-added dataset @leondz
passage: TAGS
#task_categories-text-classification #task_ids-sentiment-analysis #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-n<1K #source_datasets-original #language-Danish #license-cc-by-4.0 #stance-detection #region-us 
### 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.### 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:
* '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



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 - URL.#### 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.