passing2961/stark-face-image

Dataset Card for Stark

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List of Provided Model Series

• Ultron-Summarizer-Series: 🤖 Ultron-Summarizer-1B | 🤖 Ultron-Summarizer-3B | 🤖 Ultron-Summarizer-8B
• Ultron 7B: 🤖 Ultron-7B

🚨 Disclaimer: All models and datasets are intended for research purposes only.

Dataset Summary

Stark is a publicly available, large-scale, long-term multi-modal conversation dataset that encompasses a diverse range of social personas, multi-modality formats, time intervals, and images. To automatically construct Stark, we introduce a novel multi-modal contextualization framework, MCU, which generates long-term multi-modal dialogues distilled from ChatGPT and our proposed Plan-and-Execute Image Aligner. An overview of MCU and an example from Stark are illustrated below.

This repository contains virtual human face images generated from text-to-image generative model (i.e., SDXL-Lightning). The virtual human face is created based on a predefined human attribute collection from CosmicMan, with the full human attribute information presented in the Appendix A.3 of our paper.

Dataset Structure

Since the number of images is large (roughly 899K), we store and provide the image datasets in WebDataset format for efficiency.

Field	Type	Description
key	str	A unique identifier for each data entry in the dataset.
url	str	The URL path to the image stored in the dataset repository on HuggingFace. All URLs point to the base HuggingFace repository where images are stored.
jpg	image	The image data associated with each entry, displayed as a thumbnail in the dataset viewer. This column stores the actual image content relevant to the conversation in the dataset.
json	dict	Contains additional metadata and information for each image, structured as a dictionary. The JSON field typically includes the following keys: image_source, image_url, face_description, and index.

• image_source: Source of the image (t2i), where:
  • "t2i": Image from a general text-to-image generative model (i.e., SDXL-Lightning).
• image_url: External URL where the image was originally sourced. In this dataset, the image_url is always an empty string.
• face_description: The virtual human face description that is created based on a predefined human attribute collection from CosmicMan.
• index: A unique index identifier for each image within the dataset, which is the same as the key field.

Data Instance

The following is an example instance from the dataset.

{
  "__key__": "14c9849f-ec2b-4b96-9dae-71645106c8ab",
  "__url__": "hf://datasets/passing2961/stark-face-image@c3a0b98979522e79174676583528c3c2f54741a8/stark-train-000000-of-000002.tar",
  "jpg": "<image/png>",
  "json": {
    "face_description": "A nearly full-body shot, a 85-years-old female from Japan, fit, a brown wall, ponytail blonde above chest hair, off-shoulder short scoop neckline sleeveless silk graphic dress, striped green scoop neckline normal sleeveless cotton graphic camisole, cotton graphic tie.",
    "image_source": "t2i",
    "image_url": "",
    "index": "14c9849f-ec2b-4b96-9dae-71645106c8ab"
  }
}

Dataset Construction

We construct the Stark dataset using our proposed novel framework, MCU, which distills long-term multi-modal dialogue from ChatGPT and our proposed Plan-and-Execute Image Aligner, powered by a personalized text-to-image generative model (i.e., PhotoMaker), image database retrieval, and web search. All prompt templates used for dataset construction are presented in the Appendix of our paper.

Languages

• English

Further Details and Limitations

For additional information and limitations, please refer to our paper.

License and Recommendations

The Stark dataset is intended for research purposes only. Despite our efforts to generate high-quality and diverse personalized images, users should be mindful of ethical considerations when utilizing the dataset.

Acknowledgements

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].

Citation

If you find the resources in this repository useful, please cite our work:

@article{lee2024stark,
  title={Stark: Social Long-Term Multi-Modal Conversation with Persona Commonsense Knowledge},
  author={Lee, Young-Jun and Lee, Dokyong and Youn, Junyoung and Oh, Kyeongjin and Ko, Byungsoo and Hyeon, Jonghwan and Choi, Ho-Jin},
  journal={arXiv preprint arXiv:2407.03958},
  year={2024}
}