README.md

metadata

annotations_creators:
  - machine-generated
language:
  - de
  - en
  - fr
  - it
language_creators:
  - found
license:
  - cc-by-nc-4.0
multilinguality:
  - multilingual
pretty_name: x-stance
size_categories:
  - 10K<n<100K
source_datasets:
  - original
task_categories:
  - text-classification
task_ids: []
paperswithcode_id: x-stance
tags:
  - stance-detection
dataset_info:
  features:
    - name: question
      dtype: string
    - name: id
      dtype: int32
    - name: question_id
      dtype: int32
    - name: language
      dtype: string
    - name: comment
      dtype: string
    - name: label
      dtype: string
    - name: numerical_label
      dtype: int32
    - name: author
      dtype: string
    - name: topic
      dtype: string
  splits:
    - name: train
      num_bytes: 17619123
      num_examples: 45640
    - name: test
      num_bytes: 6607134
      num_examples: 17705
    - name: validation
      num_bytes: 1505979
      num_examples: 3926
  download_size: 6410801
  dataset_size: 25732236

Dataset Card for "x_stance"

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:
• Repository: https://github.com/ZurichNLP/xstance
• Paper: X-Stance: A Multilingual Multi-Target Dataset for Stance Detection
• Point of Contact: More Information Needed
• Size of downloaded dataset files: 6.41 MB
• Size of the generated dataset: 25.73 MB
• Total amount of disk used: 32.14 MB

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

More Information Needed

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: a string feature.
• id: a int32 feature.
• question_id: a int32 feature.
• language: a string feature.
• comment: a string feature.
• label: a string feature.
• numerical_label: a int32 feature.
• author: a string feature.
• topic: a string feature.

Data Splits

name	train	validation	test
default	45640	3926	17705

Dataset Creation

Curation Rationale

More Information Needed

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?

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

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.