Jingyi77/CHASM-Covert_Advertisement_on_RedNote

RedNote Covert Advertisement Detection Dataset

This dataset contains posts from the RedNote platform for covert advertisement detection tasks.

Dataset Overview

Split	Posts	Ad Posts	Non-Ad Posts	Total Images
Train	3493	426	3067	18543
Validation	499	57	442	2678
Test	1000	130	870	5103
Total	4992	613	4379	26324

Note: The viewer shows a small example subset of the data (60 samples) for demonstration purposes. The complete dataset is available via WebDataset format in the repository.

Field Descriptions

The example parquet file contains the following fields:

• id: Unique identifier for each post
• title: Post title
• description: Post description content
• date: Publication date (format: MM-DD)
• comments: List of comments
• images: List of base64-encoded images
• image_count: Number of images
• label: Label (0=non-advertisement, 1=advertisement)
• split: Data split (train/validation/test)

Dataset Features

• Multimodal Data: Each post contains both text (title, description, comments) and images
• Real-world Data: Collected from actual social media posts on the RedNote platform
• Multiple Images: Each post may contain multiple images (average of 5.27 images per post)

Data Format

The complete dataset is stored in WebDataset format, with each sample containing:

1. One or more image files (.jpg format)
2. A JSON metadata file with the following fields:
   • id: Sample ID
   • title: Title
   • description: Description
   • date: Date
   • comments: List of comments
   • label: Label (0: non-advertisement, 1: advertisement)

Loading the Dataset

from datasets import load_dataset

# Load example dataset
dataset = load_dataset("Jingyi77/CHASM-Covert_Advertisement_on_RedNote")

# Access a sample
example = dataset[0]
metadata = {
    "id": example["id"],
    "title": example["title"],
    "description": example["description"],
    "label": example["label"]
}
images = example["images"]  # List of images

Citation

If you use this dataset in your research, please cite:

@dataset{CHASM,
  author = {Jingyi Zheng, Tianyi Hu, Yule Liu, Zhen Sun, Zongmin Zhang, Wenhan Dong, Zifan Peng, Xinlei He},
  title = {CHASM: Unveiling Covert Advertisements on Chinese Social Media},
  year = {2025},
  publisher = {Hugging Face},
  journal = {Hugging Face Hub},
  howpublished = {\url{https://huggingface.co/datasets/Jingyi77/CHASM-Covert_Advertisement_on_RedNote}}
}