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Dataset Card for "x_stance"
Dataset Summary
The x-stance dataset contains more than 150 political questions, and 67k comments written by candidates on those questions.
It can be used to train and evaluate stance detection systems.
Supported Tasks and Leaderboards
Languages
The comments are partly German, partly French and Italian. The questions are available in all the three languages plus English.
Dataset Structure
Data Instances
default
- Size of downloaded dataset files: 6.41 MB
- Size of the generated dataset: 25.73 MB
- Total amount of disk used: 32.14 MB
An example of 'train' looks as follows.
{
"author": "f27b54a137b4",
"comment": "Das Arbeitsgesetz regelt die Arbeitszeiten und schützt den Arbeitnehmer. Es macht doch Sinn, dass wenn eine Nachfrage besteht, die Läden öffnen dürfen und wenn es keine Nachfrage gibt, diese geschlossen bleiben.",
"id": 10045,
"label": "FAVOR",
"language": "de",
"numerical_label": 100,
"question": "Sind Sie für eine vollständige Liberalisierung der Geschäftsöffnungszeiten (Geschäfte können die Öffnungszeiten nach freiem Ermessen festlegen)?",
"question_id": 739,
"topic": "Economy"
}
Data Fields
The data fields are the same among all splits.
default
question
: astring
feature.id
: aint32
feature.question_id
: aint32
feature.language
: astring
feature.comment
: astring
feature.label
: astring
feature.numerical_label
: aint32
feature.author
: astring
feature.topic
: astring
feature.
Data Splits
name | train | validation | test |
---|---|---|---|
default | 45640 | 3926 | 17705 |
Dataset Creation
Curation Rationale
Source Data
Initial Data Collection and Normalization
The data have been extracted from the Swiss voting advice platform Smartvote.ch.
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
The dataset is licensed under CC BY-NC 4.0.
Citation Information
@inproceedings{vamvas2020xstance,
author = "Vamvas, Jannis and Sennrich, Rico",
title = "{X-Stance}: A Multilingual Multi-Target Dataset for Stance Detection",
booktitle = "Proceedings of the 5th Swiss Text Analytics Conference (SwissText) \& 16th Conference on Natural Language Processing (KONVENS)",
address = "Zurich, Switzerland",
year = "2020",
month = "jun",
url = "http://ceur-ws.org/Vol-2624/paper9.pdf"
}
Contributions
Thanks to @lewtun, @mariamabarham, @thomwolf, @patrickvonplaten, @jvamvas for adding this dataset.
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