README.md

metadata

annotations_creators:
  - expert-generated
language_creators:
  - found
language:
  - pt
license:
  - mit
multilinguality:
  - monolingual
size_categories:
  - 1K<n<10K
source_datasets:
  - original
task_categories:
  - text-classification
task_ids:
  - fact-checking
pretty_name: FACTCK BR
dataset_info:
  features:
    - name: url
      dtype: string
    - name: author
      dtype: string
    - name: date
      dtype: string
    - name: claim
      dtype: string
    - name: review
      dtype: string
    - name: title
      dtype: string
    - name: rating
      dtype: float32
    - name: best_rating
      dtype: float32
    - name: label
      dtype:
        class_label:
          names:
            '0': falso
            '1': distorcido
            '2': impreciso
            '3': exagerado
            '4': insustentável
            '5': verdadeiro
            '6': outros
            '7': subestimado
            '8': impossível provar
            '9': discutível
            '10': sem contexto
            '11': de olho
            '12': verdadeiro, mas
            '13': ainda é cedo para dizer
  splits:
    - name: train
      num_bytes: 750646
      num_examples: 1313
  download_size: 721314
  dataset_size: 750646

Dataset Card for FACTCK BR

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: https://github.com/jghm-f/FACTCK.BR
• Repository: https://github.com/jghm-f/FACTCK.BR
• Paper: https://dl.acm.org/doi/10.1145/3323503.3361698
• Leaderboard:
• Point of Contact:

Dataset Summary

A dataset to study Fake News in Portuguese, presenting a supposedly false News along with their respective fact check and classification. The data is collected from the ClaimReview, a structured data schema used by fact check agencies to share their results in search engines, enabling data collect in real time. The FACTCK.BR dataset contains 1309 claims with its corresponding label.

Supported Tasks and Leaderboards

[More Information Needed]

Languages

[More Information Needed]

Dataset Structure

Data Instances

[More Information Needed]

Data Fields

[More Information Needed]

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 @hugoabonizio for adding this dataset.