PhotoChat: A Human-Human Dialogue Dataset With Photo Sharing Behavior For Joint Image-Text Modeling

@article{Zang2021PhotoChatAH,
  title={PhotoChat: A Human-Human Dialogue Dataset With Photo Sharing Behavior For Joint Image-Text Modeling},
  author={Xiaoxue Zang and Lijuan Liu and Maria Wang and Yang Song and Hao Zhang and Jindong Chen},
  journal={ArXiv},
  year={2021},
  volume={abs/2108.01453}
}
We present a new human-human dialogue dataset - PhotoChat, the first dataset that casts light on the photo sharing behavior in online messaging. PhotoChat contains 12k dialogues, each of which is paired with a user photo that is shared during the conversation. Based on this dataset, we propose two tasks to facilitate research on image-text modeling: a photo-sharing intent prediction task that predicts whether one intends to share a photo in the next conversation turn, and a photo retrieval task… 

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