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--- |
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license: cc-by-nc-4.0 |
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task_categories: |
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- text-generation |
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- image-to-text |
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language: |
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- en |
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multilinguality: |
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- monolingual |
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pretty_name: IMAD |
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size_categories: |
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- 1K<n<10K |
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tags: |
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- multi-modal |
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- dialogue |
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--- |
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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. |
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A significant portion of the data has been labeled by assessors, resulting in a high inter-reliability score. The combination of these methods has led to a well-filtered dataset and consequently a high BLEU score. |
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We hope that this dataset will be beneficial for the development of multi-modal deep learning. |
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### Data Fields |
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Dataset contains 5 fields |
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- `image_id`: `string` that contains id of image in the full Unsplash Dataset |
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- `source_data`: `string` that contains the name of source dataset |
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- `utter`: `string` that contains utterance that was replaced in this dialogue with an image |
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- `context`: `list` of `string` that contains sequence of utterances in the dialogue before the replaced utterance |
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- `image_like`: `int` that shows if the data was collected with assessors or via filtering technique |
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### Licensing Information |
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Textual part of IMAD is licensed under [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/). Full Dataset with images could be requested directly contacting authors |
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or could be obtained with matching images_id with Unsplash full dataset. |
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### Contacts |
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Feel free to reach out to us at [vvmoskvoretskiy@yandex.ru] for inquiries, collaboration suggestions, or data requests related to our work. |
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### Citation Information |
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To cite this article please use this BibTex reference |
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```bibtex |
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@misc{viktor2023imad, |
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title={IMAD: IMage-Augmented multi-modal Dialogue}, |
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author={Moskvoretskii Viktor and Frolov Anton and Kuznetsov Denis}, |
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year={2023}, |
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eprint={2305.10512}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL} |
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} |
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``` |
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Or via MLA Citation |
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``` |
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Viktor, Moskvoretskii et al. “IMAD: IMage-Augmented multi-modal Dialogue.” (2023). |
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``` |
