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  ## Dataset Description
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  - **Repository:** [Link to repo](https://github.com/VityaVitalich/IMAD)
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- - **Paper:** [IMage Augmented Dialogue: IMAD](https://arxiv.org/abs/2305.10512v1)
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  - **Point of Contact:** [Contacts Section](https://github.com/VityaVitalich/IMAD#contacts)
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  ### Dataset Summary
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- This dataset contains data from the paper [IMage Augmented Dialogue: IMAD](https://arxiv.org/abs/2305.10512v1).
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  The main feature of this dataset is the novelty of the task. It has been generated specifically for the purpose of image interpretation in a dialogue context.
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  Some of the dialogue utterances have been replaced with images, allowing a generative model to be trained to restore the initial utterance.
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  The dialogues are sourced from multiple dialogue datasets (DailyDialog, Commonsense, PersonaChat, MuTual, Empathetic Dialogues, Dream) and have been filtered using a technique described in the paper.
 
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  ## Dataset Description
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  - **Repository:** [Link to repo](https://github.com/VityaVitalich/IMAD)
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+ - **Paper:** [IMage Augmented multi-modal Dialogue: IMAD](https://arxiv.org/abs/2305.10512v1)
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  - **Point of Contact:** [Contacts Section](https://github.com/VityaVitalich/IMAD#contacts)
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  ### Dataset Summary
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+ This dataset contains data from the paper [IMage Augmented multi-modal Dialogue: IMAD](https://arxiv.org/abs/2305.10512v1).
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  The main feature of this dataset is the novelty of the task. It has been generated specifically for the purpose of image interpretation in a dialogue context.
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  Some of the dialogue utterances have been replaced with images, allowing a generative model to be trained to restore the initial utterance.
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  The dialogues are sourced from multiple dialogue datasets (DailyDialog, Commonsense, PersonaChat, MuTual, Empathetic Dialogues, Dream) and have been filtered using a technique described in the paper.