Add paper link, code link and improve metadata

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by nielsr HF Staff - opened
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  1. README.md +65 -63
README.md CHANGED
@@ -1,66 +1,70 @@
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  ---
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  language:
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- - zh
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  license: mit
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- pretty_name: RedNote Covert Advertisement Detection Dataset
 
 
 
 
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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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- 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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- This dataset contains posts from the RedNote platform for covert advertisement detection tasks.
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  ## Dataset Overview
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@@ -89,9 +93,9 @@ The example parquet file contains the following fields:
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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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@@ -129,13 +133,11 @@ images = example["images"] # List of images
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  If you use this dataset in your research, please cite:
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- ```
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- @dataset{CHASM,
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- author = {Jingyi Zheng, Tianyi Hu, Yule Liu, Zhen Sun, Zongmin Zhang, Wenhan Dong, Zifan Peng, Xinlei He},
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- title = {CHASM: Unveiling Covert Advertisements on Chinese Social Media},
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- year = {2025},
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- publisher = {Hugging Face},
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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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+
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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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+ ```