README.md

metadata

annotations_creators:
  - crowdsourced
language_creators:
  - found
language:
  - ar
license:
  - apache-2.0
multilinguality:
  - monolingual
size_categories:
  - 1K<n<10K
source_datasets:
  - original
task_categories:
  - text-classification
task_ids:
  - fact-checking
pretty_name: ans-stance
tags:
  - stance-detection

Dataset Card for AraStance

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: https://github.com/latynt/ans
• Paper: https://arxiv.org/abs/2005.10410
• Point of Contact: Jude Khouja

Dataset Summary

The dataset is a collection of news titles in arabic along with paraphrased and corrupted titles. The stance prediction version is a 3-class classification task. Data contains three columns: s1, s2, stance.

Languages

Arabic

Dataset Structure

Data Instances

An example of 'train' looks as follows:

{
  'id': '0', 
  's1': 'هجوم صاروخي يستهدف مطار في طرابلس ويجبر ليبيا على تغيير مسار الرحلات الجوية', 
  's2': 'هدوء الاشتباكات فى طرابلس', 
  'stance': 0
}

Data Fields

• id: a 'string' feature.
• s1: a 'string' expressing a claim/topic.
• s2: a 'string' to be classified for its stance to the source.
• stance: a class label representing the stance the article expresses towards the claim. Full tagset with indices:

                0: "disagree",
                1: "agree",
                2: "other",

Data Splits

name	instances
train	2652
validation	755
test	379

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

The dataset is curated by the paper's authors

Licensing Information

The authors distribute this data under the Apache License, Version 2.0

Citation Information

@inproceedings{,
    title = "Stance Prediction and Claim Verification: An {A}rabic Perspective", 
    author = "Khouja, Jude",
    booktitle = "Proceedings of the Third Workshop on Fact Extraction and {VER}ification ({FEVER})",
    year = "2020",
    address = "Seattle, USA",
    publisher = "Association for Computational Linguistics",
}

Contributions

Thanks to mkonxd for adding this dataset.