
# Dataset Card for X-Stance

## Table of Contents
- [Table of Contents](#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

- **Repository:** [https://github.com/ZurichNLP/xstance](https://github.com/ZurichNLP/xstance)
- **Paper:** [http://ceur-ws.org/Vol-2624/paper9.pdf](http://ceur-ws.org/Vol-2624/paper9.pdf), [https://arxiv.org/abs/2003.08385](https://arxiv.org/abs/2003.08385)
- **Point of Contact:** [Jannis Vamvas](https://twitter.com/j_vamvas)

### Dataset Summary

The x-stance dataset contains more than 150 political questions, and 67k comments written by candidates on those questions. The comments are partly German, partly French and Italian. The data have been extracted from the Swiss voting advice platform Smartvote.

### Languages

German, French/Italian

## Dataset Structure

### Data Instances
An example of 'train' looks as follows:
```
{
    'id': '0', 
    'question': 'Eine Volksinitiative fordert, dass die Gesamtfläche der Bauzonen in der Schweiz für die nächsten 20 Jahre auf dem heutigen Stand begrenzt wird. Befürworten Sie dieses Anliegen?', 
    'comment': 'Eine fixe Grösse verbieten, ist das falsche Mittel', '
    'label': 0
}
```

### Data Fields

- `id`: a 'string' feature.
- `question`: a 'string' expressing a claim/topic.
- `comment`: a 'string' to be classified for its stance to the source.
- `label`: 
```
            0: "AGAINST",
            1: "FAVOR"
```

### Data Splits

|languages|name|instances|
|---------|----|----:|
|de|train|33850|
|de|validation|2871|
|de|test|11891|
|fr|train|11790|
|fr|validation|1055|
|fr|test|5814|

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed]

#### Who are the source language producers?

[More Information Needed]

### Annotations

#### 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

[More Information Needed]

## Additional Information

### Dataset Curators

[More Information Needed]

### Licensing Information

[MIT License](https://github.com/ZurichNLP/xstance/blob/master/LICENSE)

### Citation Information

```
@article{vamvas2020x,
  title={X-stance: A multilingual multi-target dataset for stance detection},
  author={Vamvas, Jannis and Sennrich, Rico},
  journal={arXiv preprint arXiv:2003.08385},
  year={2020}
}
```

### Contributions

Thanks to [mkonxd](https://github.com/mkonxd), [leondz](https://github.com/leondz) for adding this dataset.

task_categories:text-classification task_ids:fact-checking annotations_creators:crowdsourced language_creators:found multilinguality:multilingual size_categories:10K<n<100K language:de language:fr license:mit stance-detection arxiv:2003.08385 region:us
{"annotations_creators": ["crowdsourced"], "language_creators": ["found"], "language": ["de", "fr"], "license": ["mit"], "multilinguality": ["multilingual"], "size_categories": ["10K<n<100K"], "source_datasets": [], "task_categories": ["text-classification"], "task_ids": ["fact-checking"], "pretty_name": "X-Stance", "tags": ["stance-detection"]}
TAGS
#task_categories-text-classification #task_ids-fact-checking #annotations_creators-crowdsourced #language_creators-found #multilinguality-multilingual #size_categories-10K<n<100K #language-German #language-French #license-mit #stance-detection #arxiv-2003.08385 #region-us 

Dataset Card for X-Stance
=========================


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


* 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
-------------------


* Repository: URL
* Paper: URL URL
* Point of Contact: Jannis Vamvas


### Dataset Summary


The x-stance dataset contains more than 150 political questions, and 67k comments written by candidates on those questions. The comments are partly German, partly French and Italian. The data have been extracted from the Swiss voting advice platform Smartvote.


### Languages


German, French/Italian


Dataset Structure
-----------------


### Data Instances


An example of 'train' looks as follows:


### Data Fields


* 'id': a 'string' feature.
* 'question': a 'string' expressing a claim/topic.
* 'comment': a 'string' to be classified for its stance to the source.
* 'label':


### Data Splits



Dataset Creation
----------------


### Curation Rationale


### Source Data


#### Initial Data Collection and Normalization


#### Who are the source language producers?


### Annotations


#### Annotation process


#### Who are the annotators?


### 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


MIT License


### Contributions


Thanks to mkonxd, leondz for adding this dataset.



### Dataset Summary


The x-stance dataset contains more than 150 political questions, and 67k comments written by candidates on those questions. The comments are partly German, partly French and Italian. The data have been extracted from the Swiss voting advice platform Smartvote. ### Languages


German, French/Italian


Dataset Structure
----------------- ### Data Instances


An example of 'train' looks as follows: ### Data Fields


* 'id': a 'string' feature.
* 'question': a 'string' expressing a claim/topic.
* 'comment': a 'string' to be classified for its stance to the source.
* 'label': ### Data Splits



Dataset Creation
---------------- ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### 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


MIT License ### Contributions


Thanks to mkonxd, leondz for adding this dataset.
TAGS
#task_categories-text-classification #task_ids-fact-checking #annotations_creators-crowdsourced #language_creators-found #multilinguality-multilingual #size_categories-10K<n<100K #language-German #language-French #license-mit #stance-detection #arxiv-2003.08385 #region-us 
 ### Dataset Summary


The x-stance dataset contains more than 150 political questions, and 67k comments written by candidates on those questions. The comments are partly German, partly French and Italian. The data have been extracted from the Swiss voting advice platform Smartvote. ### Languages


German, French/Italian


Dataset Structure
----------------- ### Data Instances


An example of 'train' looks as follows: ### Data Fields


* 'id': a 'string' feature.
* 'question': a 'string' expressing a claim/topic.
* 'comment': a 'string' to be classified for its stance to the source.
* 'label': ### Data Splits



Dataset Creation
---------------- ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### 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


MIT License ### Contributions


Thanks to mkonxd, leondz for adding this dataset.
passage: TAGS
#task_categories-text-classification #task_ids-fact-checking #annotations_creators-crowdsourced #language_creators-found #multilinguality-multilingual #size_categories-10K<n<100K #language-German #language-French #license-mit #stance-detection #arxiv-2003.08385 #region-us 
### Dataset Summary


The x-stance dataset contains more than 150 political questions, and 67k comments written by candidates on those questions. The comments are partly German, partly French and Italian. The data have been extracted from the Swiss voting advice platform Smartvote.### Languages


German, French/Italian


Dataset Structure
-----------------### Data Instances


An example of 'train' looks as follows:### Data Fields


* 'id': a 'string' feature.
* 'question': a 'string' expressing a claim/topic.
* 'comment': a 'string' to be classified for its stance to the source.
* 'label':### Data Splits



Dataset Creation
----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### 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


MIT License### Contributions


Thanks to mkonxd, leondz for adding this dataset.