Dataset:
Task Categories:
text-classification
Languages:
ur
Multilinguality:
monolingual
Size Categories:
n<1K
Licenses:
unknown
Language Creators:
expert-generated
Annotations Creators:
expert-generated
Source Datasets:
original
Dataset Card for Bend the Truth (Urdu Fake News)
Dataset Summary
[More Information Needed]
Supported Tasks and Leaderboards
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Languages
[More Information Needed]
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
- news: a string in urdu
- label: the label indicating whethere the provided news is real or fake.
- category: The intent of the news being presented. The available 5 classes are Sports, Health, Technology, Entertainment, and Business.
Data Splits
[More Information Needed]
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
[More Information Needed]
Citation Information
[More Information Needed]
Contributions
Thanks to @chaitnayabasava for adding this dataset.
Homepage:
Github
Repository:
Github
Paper:
Paper:
Leaderboard:
Leaderboard:
Point of Contact:
Maaz Amjad
Models trained or fine-tuned on urdu_fake_news
None yet