Datasets:
Formats:
json
Sub-tasks:
conversational
Languages:
English
Size:
< 1K
ArXiv:
Tags:
multi-modal dialogue
License:
passing2961
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README.md
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# Dataset Card for PhotoChat++
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## Dataset Description
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- **Repository:** [Code](https://github.com/passing2961/DribeR)
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- **Paper:** [Large Language Models can Share Images, Too!](https://arxiv.org/abs/2310.14804)
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We create PhotoChat++ dataset via crowd-sourcing.
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Please refer to our [paper](https://arxiv.org/abs/2310.14804).
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## Limitations
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Please refer to the Limitation section in our [paper](https://arxiv.org/abs/2310.14804).
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Since PhotoChat++ is constructed via crowd-sourcing based on dialogues from the PhotoChat dataset, which is licensed under the CC BY 4.0 International license, PhotoChat++ is shared under the same CC BY 4.0 International license. Therefore, following this license, it is possible to use the PhotoChat++ dataset for commercial purposes. However, we strongly recommend using our dataset for academic and research purposes.
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Please cite our work if you find the resources in this repository useful:
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```
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# Dataset Card for PhotoChat++
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> 🚨 Disclaimer: All models and datasets are intended for research purposes only.
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## Dataset Description
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- **Repository:** [Code](https://github.com/passing2961/DribeR)
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- **Paper:** [Large Language Models can Share Images, Too!](https://arxiv.org/abs/2310.14804)
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We create PhotoChat++ dataset via crowd-sourcing.
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## Further Details, Social Impacts, and Limitations
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Please refer to our [paper](https://arxiv.org/abs/2310.14804).
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## Limitations
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Please refer to the Limitation section in our [paper](https://arxiv.org/abs/2310.14804).
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## Recommendations
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Since PhotoChat++ is constructed via crowd-sourcing based on dialogues from the PhotoChat dataset, which is licensed under the CC BY 4.0 International license, PhotoChat++ is shared under the same CC BY 4.0 International license. Therefore, following this license, it is possible to use the PhotoChat++ dataset for commercial purposes. However, we strongly recommend using our dataset for academic and research purposes.
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## Acknowledgements
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This work was supported by a grant from the KAIST-KT joint research project through AI Tech Lab, Institute of Convergence Technology, funded by KT [Project No. G01230605, Development of Task-oriented Persona-based Dialogue Generation Combining Multi-modal Interaction and Knowledge Modeling].
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## Citation
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Please cite our work if you find the resources in this repository useful:
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```
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