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README.md

@@ -1,14 +1,15 @@
 ---
 language:
-- en
 - zh
 license: mit
 pretty_name: RedNote Covert Advertisement Detection Dataset
 tags:
-- advertisement-detection
+- covert advertisement detection
 - social-media
 - image-text
 - multimodal
+- RedNote
+- Xiaohongshu
 datasets:
 - Jingyi77/CHASM-Covert_Advertisement_on_RedNote
 ---
@@ -81,23 +82,18 @@ img.show()
 
 - **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
-- **Balanced Classes**: Equal distribution of advertisement and non-advertisement posts
 - **Multiple Images**: Each post may contain multiple images (average of 5.27 images per post)
 
-## Reviewers
-
-- **Academic Reviewer**: Prof. Zhang, University of Science and Technology
-- **Industry Reviewer**: Dr. Wang, Lead Researcher at AI Research Lab
 
 ## Citation
 
 If you use this dataset in your research, please cite:
 
 ```
-@dataset{rednote_covert_ad_2023,
-  author = {Jingyi},
-  title = {RedNote Covert Advertisement Detection Dataset},
-  year = {2023},
+@dataset{CHASM,
+  author = {Jingyi Zheng, Tianyi Hu, Yule Liu, Zhen Sun, Zongmin Zhang, Wenhan Dong, Zifan Peng},
+  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}}