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+ ---
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+ language:
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+ - es
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+ pretty_name: contextualized_hate_speech
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+ ---
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+ # Dataset Card for Dataset Name
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+
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+ ## Dataset Description
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+
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+ - **Homepage:**
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+ - **Repository:**
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+ - **Paper:**
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+ - **Leaderboard:**
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+ - **Point of Contact:**
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+
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+ ### Dataset Summary
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+ This dataset is a collection of tweets that were posted in response to news articles from five specific Argentinean news outlets: Clarín, Infobae, La Nación, Perfil and Crónica, during the COVID-19 pandemic. The comments were analyzed for hate speech across eight different characteristics: against women, racist content, class hatred, against LGBTQ+ individuals, against physical appearance, against people with disabilities, against criminals, and for political reasons. All the data is in Spanish.
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+ ### Supported Tasks and Leaderboards
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+ [More Information Needed]
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+ ### Languages
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+ [More Information Needed]
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+ ## Dataset Structure
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+ ### Data Instances
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+ [More Information Needed]
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+ ### Data Fields
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+ [More Information Needed]
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+ ### Data Splits
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+ [More Information Needed]
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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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+ [More Information Needed]
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+ ### Contributions
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+ [More Information Needed]