README.md

metadata

annotations_creators:
  - expert-generated
language_creators:
  - expert-generated
language:
  - ur
license:
  - unknown
multilinguality:
  - monolingual
size_categories:
  - n<1K
source_datasets:
  - original
task_categories:
  - text-classification
task_ids:
  - fact-checking
  - intent-classification
pretty_name: Bend the Truth (Urdu Fake News)
dataset_info:
  features:
    - name: news
      dtype: string
    - name: label
      dtype:
        class_label:
          names:
            '0': Fake
            '1': Real
    - name: category
      dtype:
        class_label:
          names:
            '0': bus
            '1': hlth
            '2': sp
            '3': tch
            '4': sbz
  splits:
    - name: train
      num_bytes: 1762905
      num_examples: 638
    - name: test
      num_bytes: 799587
      num_examples: 262
  download_size: 1042653
  dataset_size: 2562492

Dataset Card for Bend the Truth (Urdu Fake News)

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: Github
• Repository: Github
• Paper:
• Leaderboard:
• Point of Contact: Maaz Amjad

Dataset Summary

[More Information Needed]

Supported Tasks and Leaderboards

[More Information Needed]

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.