Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
Spanish
Size:
10K - 100K
ArXiv:
Tags:
hate_speech
finiteautomata
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## Dataset Description
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- **Repository:**
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- **Paper**: ["Assessing the impact of contextual information in hate speech detection"](https://arxiv.org/abs/2210.00465), Juan Manuel Pérez, Franco Luque, Demian Zayat, Martín Kondratzky, Agustín Moro, Pablo Serrati, Joaquín Zajac, Paula Miguel, Natalia Debandi, Agustín Gravano, Viviana Cotik
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- **Point of Contact**: jmperez (at) dc uba ar
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### Dataset Summary
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![Graphical representation of the dataset](Dataset%20graph.png)
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This dataset is a collection of tweets
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Each
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## Dataset Description
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- **Repository: [https://github.com/finiteautomata/contextualized-hatespeech-classification](https://github.com/finiteautomata/contextualized-hatespeech-classification)**
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- **Paper**: ["Assessing the impact of contextual information in hate speech detection"](https://arxiv.org/abs/2210.00465), Juan Manuel Pérez, Franco Luque, Demian Zayat, Martín Kondratzky, Agustín Moro, Pablo Serrati, Joaquín Zajac, Paula Miguel, Natalia Debandi, Agustín Gravano, Viviana Cotik
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- **Point of Contact**: jmperez (at) dc uba ar
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### Dataset Summary
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![Graphical representation of the dataset](Dataset%20graph.png)
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This dataset is a collection of tweets 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 annotated for the presence of 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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Each comment is labeled with the following variables
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