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  # Dataset Card for Dataset Name
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- <!-- Provide a quick summary of the dataset. -->
 
 
 
 
 
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- This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
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  ## Dataset Details
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  - **Curated by:** [More Information Needed]
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- - **Funded by [optional]:** [More Information Needed]
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  - **Shared by [optional]:** [More Information Needed]
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- - **Language(s) (NLP):** [More Information Needed]
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  - **License:** [More Information Needed]
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  ### Dataset Sources [optional]
 
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  # Dataset Card for Dataset Name
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+ HateBR is the first large-scale expert annotated dataset of Brazilian Instagram comments for hate speech detection on the web and social media.
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+ The HateBR was collected from Brazilian Instagram comments of politicians and manually annotated by specialists.
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+ It is composed of 7,000 documents annotated according to three different layers: a binary classification
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+ (offensive versus non-offensive comments), offensiveness-level (highly, moderately, and slightly offensive messages), and
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+ hate speech targets. Each comment was annotated by three different expert annotators and achieved high inter-annotator agreement.
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+ We hope that the proposed expert annotated dataset may foster research on hate speech detection in the Natural Language Processing area.
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  ## Dataset Details
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  - **Curated by:** [More Information Needed]
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+ - **Funded by Francielle Vargas:** [More Information Needed]
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  - **Shared by [optional]:** [More Information Needed]
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+ - **Language(s) (NLP):** Portuguese
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  - **License:** [More Information Needed]
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  ### Dataset Sources [optional]