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+RoBERTA-base finetuned on our Dissonance Dataset, collected from annotating tweets for within-person dissonance, as described in our paper [Transfer and Active Learning for Dissonance Detection: Addressing the Rare Class Challenge](https://arxiv.org/abs/2305.02459). 
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+## Dataset Annotation details
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+Tweets were parsed into discourse units, and marked as Belief (Thought or Action) or Other, and pairs of beliefs within the same tweet were relayed to annotators for Dissonance annotation.
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+![annotation process](./annotation_format/annotation_process.jpg)
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+The annotations were conducted on a sheet in the following **dissonance-first** format. 
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+![annotation format](./annotation_format/annotation_format.png)
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+The annotators used the following flowchart as a more detailed guide to determining the Dissonance, Consonance and Neither/Other classes: 
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+![annotation guidelines](./annotation_format/annotation_guidelines.jpg)