Add paper link, code link and improve metadata
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by nielsr HF Staff - opened
README.md
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---
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language:
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license: mit
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tags:
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datasets:
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dataset_info:
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configs:
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size_categories:
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- 10<n<100
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---
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<!-- @format -->
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# RedNote Covert Advertisement Detection Dataset
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## Dataset Overview
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## Dataset Features
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- **Multimodal Data**: Each post contains both text (title, description, comments) and images
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- **Real-world Data**: Collected from actual social media posts on the RedNote platform
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- **Multiple Images**: Each post may contain multiple images (average of 5.27 images per post)
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## Data Format
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If you use this dataset in your research, please cite:
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```
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@
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journal = {Hugging Face Hub},
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howpublished = {\url{https://huggingface.co/datasets/Jingyi77/CHASM-Covert_Advertisement_on_RedNote}}
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}
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```
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---
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language:
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- zh
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license: mit
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size_categories:
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- 1K<n<10K
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pretty_name: CHASM - RedNote Covert Advertisement Detection Dataset
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task_categories:
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- image-text-to-text
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tags:
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- covert advertisement detection
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- social-media
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- image-text
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- multimodal
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- RedNote
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- Xiaohongshu
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datasets:
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- Jingyi77/CHASM-Covert_Advertisement_on_RedNote
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dataset_info:
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- config_name: default
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features:
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- name: id
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dtype: string
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- name: title
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dtype: string
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- name: description
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dtype: string
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- name: date
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dtype: string
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- name: comments
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sequence:
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dtype: string
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- name: images
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sequence:
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dtype: string
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- name: image_count
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dtype: int32
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- name: label
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dtype: int8
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- name: split
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dtype: string
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configs:
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- config_name: Example
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data_files:
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- split: Example
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path: example.parquet
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- split: Train_1
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path: train_part_1.parquet
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- split: Train_2
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path: train_part_2.parquet
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- split: Train_3
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path: train_part_3.parquet
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- split: Train_4
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path: train_part_4.parquet
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- split: Test
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path: test.parquet
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- split: Validation
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path: validation.parquet
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---
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<!-- @format -->
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# RedNote Covert Advertisement Detection Dataset (CHASM)
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This dataset contains posts from the RedNote platform for covert advertisement detection tasks, introduced in the paper [CHASM: Unveiling Covert Advertisements on Chinese Social Media](https://huggingface.co/papers/2604.20511).
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[**Paper**](https://huggingface.co/papers/2604.20511) | [**Code**](https://github.com/Jingyi62/CHASM)
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## Dataset Overview
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## Dataset Features
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- **Multimodal Data**: Each post contains both text (title, description, comments) and images.
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- **Real-world Data**: Collected from actual social media posts on the RedNote platform.
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- **Multiple Images**: Each post may contain multiple images (average of 5.27 images per post).
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## Data Format
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If you use this dataset in your research, please cite:
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```bibtex
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@article{zheng2025chasm,
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title={CHASM: Unveiling Covert Advertisements on Chinese Social Media},
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author={Zheng, Jingyi and Hu, Tianyi and Liu, Yule and Sun, Zhen and Zhang, Zongmin and Dong, Wenhan and Peng, Zifan and He, Xinlei},
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journal={arXiv preprint arXiv:2604.20511},
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year={2025}
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}
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```
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