Datasets:
Tasks:
Text Classification
Formats:
csv
Languages:
Portuguese
Size:
1K - 10K
Tags:
hate
hatespeech
brazilianportuguese
evaluationbenchmark
naturallanguageprocessing
machinelearning
License:
Update README.md
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README.md
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# Dataset Card for Dataset Name
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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
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- **Shared by [optional]:** [More Information Needed]
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- **Language(s) (NLP):**
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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]
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