Datasets:
Tasks:
Text Classification
Sub-tasks:
hate-speech-detection
Languages:
Portuguese
Size:
1K<n<10K
Tags:
instagram
DOI:
Merge branch 'main' of https://huggingface.co/datasets/ruanchaves/hatebr into main
Browse files
README.md
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### Data Instances
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### Data Fields
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* instagram_comments: Instagram comments.
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* offensive_language:
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* offensiveness_levels:
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### Data Splits
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No standard splits have been provided by the authors.
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## Dataset Creation
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### Curation Rationale
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[More Information Needed]
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### Source Data
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#### Initial Data Collection and Normalization
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[More Information Needed]
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#### Who are the source language producers?
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[More Information Needed]
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### Annotations
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#### Annotation process
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[More Information Needed]
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#### Who are the annotators?
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[More Information Needed]
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### Personal and Sensitive Information
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[More Information Needed]
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## Considerations for Using the Data
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### Social Impact of Dataset
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[More Information Needed]
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### Discussion of Biases
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[More Information Needed]
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### Other Known Limitations
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[More Information Needed]
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## Additional Information
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### Dataset Curators
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[More Information Needed]
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### Licensing Information
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[More Information Needed]
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### Citation Information
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### Data Instances
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```
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{'instagram_comments': 'Plano da esquerda foi é e será sempre críticar não nunca teve um plano de governo único plano era como roubar .',
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'offensive_language': 1,
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'offensiveness_levels': 2,
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'antisemitism': False,
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'apology_for_the_dictatorship': False,
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'fatphobia': False,
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'homophobia': False,
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'partyism': True,
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'racism': False,
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'religious_intolerance': False,
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'sexism': False,
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'xenophobia': False,
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'offensive_&_non-hate_speech': False,
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'non-offensive': False
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}
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```
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### Data Fields
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* instagram_comments: Instagram comments.
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* offensive_language: A classification of comments as either offensive (1) or non-offensive (0).
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* offensiveness_levels: A classification of comments based on their level of offensiveness, including highly offensive (3), moderately offensive (2), slightly offensive (1) and non-offensive (0).
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* antisemitism: A classification of whether or not the comment contains antisemitic language.
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* apology_for_the_dictatorship: A classification of whether or not the comment praises the military dictatorship period in Brazil.
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* fatphobia: A classification of whether or not the comment contains language that promotes fatphobia.
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* homophobia: A classification of whether or not the comment contains language that promotes homophobia.
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* partyism: A classification of whether or not the comment contains language that promotes partyism.
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* racism: A classification of whether or not the comment contains racist language.
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* religious_intolerance: A classification of whether or not the comment contains language that promotes religious intolerance.
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* sexism: A classification of whether or not the comment contains sexist language.
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* xenophobia: A classification of whether or not the comment contains language that promotes xenophobia.
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* offensive_&_no-hate_speech: A classification of whether or not the comment is offensive but does not contain hate speech.
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### Data Splits
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No standard data splits have been provided by the authors.
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### Citation Information
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```
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@inproceedings{vargas2022hatebr,
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title={HateBR: A Large Expert Annotated Corpus of Brazilian Instagram Comments for Offensive Language and Hate Speech Detection},
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author={Vargas, Francielle and Carvalho, Isabelle and de G{\'o}es, Fabiana Rodrigues and Pardo, Thiago and Benevenuto, Fabr{\'\i}cio},
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booktitle={Proceedings of the Thirteenth Language Resources and Evaluation Conference},
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pages={7174--7183},
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year={2022}
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}
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```
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