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metadata
annotations_creators:
  - expert-generated
language_creators:
  - found
language:
  - pt
license:
  - unknown
multilinguality:
  - monolingual
size_categories:
  - 1K<n<10K
source_datasets:
  - original
task_categories:
  - text-classification
task_ids: []
pretty_name: HateSpeechPortuguese
tags:
  - hate-speech-detection
dataset_info:
  features:
    - name: text
      dtype: string
    - name: label
      dtype:
        class_label:
          names:
            '0': no-hate
            '1': hate
    - name: hatespeech_G1
      dtype: string
    - name: annotator_G1
      dtype: string
    - name: hatespeech_G2
      dtype: string
    - name: annotator_G2
      dtype: string
    - name: hatespeech_G3
      dtype: string
    - name: annotator_G3
      dtype: string
  splits:
    - name: train
      num_bytes: 826130
      num_examples: 5670
  download_size: 763846
  dataset_size: 826130

Dataset Card for [Dataset Name]

Table of Contents

Dataset Description

Dataset Summary

Portuguese dataset for hate speech detection composed of 5,668 tweets with binary annotations (i.e. 'hate' vs. 'no-hate').

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

@inproceedings{fortuna-etal-2019-hierarchically,
    title = "A Hierarchically-Labeled {P}ortuguese Hate Speech Dataset",
    author = "Fortuna, Paula  and
      Rocha da Silva, Jo{\~a}o  and
      Soler-Company, Juan  and
      Wanner, Leo  and
      Nunes, S{\'e}rgio",
    editor = "Roberts, Sarah T.  and
      Tetreault, Joel  and
      Prabhakaran, Vinodkumar  and
      Waseem, Zeerak",
    booktitle = "Proceedings of the Third Workshop on Abusive Language Online",
    month = aug,
    year = "2019",
    address = "Florence, Italy",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W19-3510",
    doi = "10.18653/v1/W19-3510",
    pages = "94--104",
}

Contributions

Thanks to @hugoabonizio for adding this dataset.