README.md

---
license: apache-2.0
---

# Resource 📖

<h4 align="center">
  <a href="https://arxiv.org/abs/2509.12653">[ACM MM Paper]</a> | <a href="https://huggingface.co/datasets/SJJ0854/SAMM">[SAMM HF]</a> | <a href="https://huggingface.co/datasets/SJJ0854/CAP">[CAP HF]</a> | <a href=" https://github.com/shen8424/SAMM-RamDG-CAP">[Github Code]</a>
</h4>


# Introduction

We present <b>CAP</b>, a large-scale database including over 70k celebrities. Each celebrity in the CAP has at least three associated images along with their gender, birth year, occupation, and main achievements.

Two examples from CAP:

<div align="center">
<img src='./cap.png' width='40%'>
</div>

We provide the Python script `import_cap.py` that automatically integrates CAP information into your custom dataset by identifying all public celebrities mentioned in the textual content of each entry and incorporating their corresponding information.

# Usage 🔧

If you want to import the CAP data into your own dataset, please refer to [this](https://github.com/shen8424/CAP).

# 🤗🤗🤗 Citation

If you find this work useful for your research, please kindly cite our paper:
```
@misc{shen2025artificialmisalignmentdetectinggrounding,
      title={Beyond Artificial Misalignment: Detecting and Grounding Semantic-Coordinated Multimodal Manipulations}, 
      author={Jinjie Shen and Yaxiong Wang and Lechao Cheng and Nan Pu and Zhun Zhong},
      year={2025},
      eprint={2509.12653},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2509.12653}, 
}
```