Datasets:
Tasks:
Text Classification
Modalities:
Text
Sub-tasks:
fact-checking
Size:
10K - 100K
ArXiv:
Tags:
stance-detection
License:
metadata
annotations_creators:
- crowdsourced
language_creators:
- found
languages:
- de
- fr
licenses:
- mit
multilinguality:
- multilingual
pretty_name: X-Stance
size_categories:
- 10K<n<100K
source_datasets: []
task_categories:
- text-classification
task_ids:
- fact-checking
- text-classification-other-stance-detection
Dataset Card for X-Stance
Table of Contents
- Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Repository: https://github.com/ZurichNLP/xstance
- Paper: http://ceur-ws.org/Vol-2624/paper9.pdf, https://arxiv.org/abs/2003.08385
- 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:
{
'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
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}
}