strombergnlp/ara-stance

Dataset Card for AraStance

Dataset Summary

The AraStance dataset contains true and false claims, where each claim is paired with one or more documents. Each claim–article pair has a stance label: agree, disagree, discuss, or unrelated.

Languages

Arabic

Dataset Structure

Data Instances

An example of 'train' looks as follows:

{
    'id': '0', 
    'claim': 'تم رفع صورة السيسي في ملعب ليفربول', 
    'article': 'خطفت مكة محمد صلاح نجلة نجم ليفربول الإنجليزي الأنظار في ظهورها بملعب آنفيلد عقب مباراة والدها أمام برايتون في ختام الدوري الإنجليزي والتي انتهت بفوز الأول برباعية نظيفة. وأوضحت صحيفة "ميرور" البريطانية أن مكة محمد صلاح أضفت حالة من المرح في ملعب آنفيلد أثناء مداعبة الكرة بعد تتويج نجم منتخب مصر بجائزة هداف الدوري الإنجليزي. وأشارت إلى أن مكة أظهرت بعضًا من مهاراتها بمداعبة الكرة ونجحت في خطف قلوب مشجعي الريدز.', 
    'stance': 3

}

Data Fields

• id: a 'string' feature.
• claim: a 'string' expressing a claim/topic.
• article: 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: "Agree",
                1: "Disagree",
                2: "Discuss",
                3: "Unrelated",

Data Splits

name	instances
train	2848
validation	569
test	646

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 Creative Commons attribution license, CC-BY 4.0

Citation Information

@article{arastance,
  url = {https://arxiv.org/abs/2104.13559},
  author = {Alhindi, Tariq and Alabdulkarim, Amal and Alshehri, Ali and Abdul-Mageed, Muhammad and Nakov, Preslav},
  title = {AraStance: A Multi-Country and Multi-Domain Dataset of Arabic Stance Detection for Fact Checking},
  year = {2021},  
  copyright = {Creative Commons Attribution 4.0 International}
}

Contributions

Thanks to mkonxd for adding this dataset.