README.md

metadata

language:
  - en
license: cc
size_categories:
  - 1M<n<10M
task_categories:
  - any-to-any

RU-AI: A Large Multimodal Dataset for Machine Generated Content Detection

This is the noise agumented data for paper: RU-AI: A Large Multimodal Dataset for Machine Generated Content Detection

The original dataset is avaliable at zenodo and HuggingFace:

https://zenodo.org/records/11406538

https://huggingface.co/datasets/zzha6204/RU-AI-origin

The official repo is avaliable at:

https://github.com/ZhihaoZhang97/RU-AI

Reference

We are appreciated the open-source community for the datasets and the models.

Microsoft COCO: Common Objects in Context

Framing Image Description as a Ranking Task: Data, Models and Evaluation Metrics

Learning Deep Features for Scene Recognition using Places Database

Text-Free Image-to-Speech Synthesis Using Learned Segmental Units

Unsupervised Learning of Spoken Language with Visual Context

Learning Word-Like Units from Joint Audio-Visual Analysis

LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment

ImageBind: One Embedding Space To Bind Them All

Citation

If found our dataset or research useful, please cite:

@misc{huang2024ruai,
      title={RU-AI: A Large Multimodal Dataset for Machine Generated Content Detection}, 
      author={Liting Huang and Zhihao Zhang and Yiran Zhang and Xiyue Zhou and Shoujin Wang},
      year={2024},
      eprint={2406.04906},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}