Datasets:
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license: mit
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---
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license: mit
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task_categories:
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- text-classification
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language:
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- gn
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- es
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pretty_name: JOTAD
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size_categories:
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- 1K<n<10K
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---
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# Text-based afective computing
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We collected a dataset of tweets primarily written in Guarani (and Jopara, a code-switching language that combines Guarani and Spanish) and annotated them for three widely-used dimensions in sentiment analysis:
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1. emotion recognition (**this repo**, https://huggingface.co/datasets/mmaguero/gn-emotion-recognition),
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2. humor detection (https://huggingface.co/datasets/mmaguero/gn-humor-detection), and
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3. ofensive language identifcation (https://huggingface.co/datasets/mmaguero/gn-offensive-language-identifcation).
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The statistics for the Jopara afective analysis datasets and their splits for each proposed task:
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