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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 (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. offensive language identifcation (**this repo**, 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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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6193f446979eb76ec3cc5b89/vKw1k6v4ZGtsj8b1BgPYM.png)
 
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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 (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. offensive language identification (**this repo**, https://huggingface.co/datasets/mmaguero/gn-offensive-language-identification).
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  The statistics for the Jopara afective analysis datasets and their splits for each proposed task:
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6193f446979eb76ec3cc5b89/vKw1k6v4ZGtsj8b1BgPYM.png)