Update README.md

README.md

@@ -22,8 +22,6 @@ CleanVul is a function-level vulnerability dataset derived from vulnerability-fi
 
 ## Dataset Details
 
-### Dataset Description
-
 CleanVul targets the noise present in many vulnerability datasets that label all modified files or functions in vulnerability-fixing commits as vulnerability-related. The dataset is constructed by applying VulSifter, which combines LLM-based semantic inspection with filtering heuristics (e.g., to remove test-related changes). CleanVul is released in multiple confidence “threshold” variants so users can trade off dataset size and label correctness.
 
 - **Curated by:** Yikun Li, Ting Zhang, Ratnadira Widyasari, Yan Naing Tun, Huu Hung Nguyen, Tan Bui, Ivana Clairine Irsan, Yiran Cheng, Xiang Lan, Han Wei Ang, et al.
@@ -42,7 +40,6 @@ To reconstruct the commonly used “Threshold 3” subset (score ≥ 3), combine
 
 ## Citation
 
-**BibTeX:**
 ```bibtex
 @article{li2024cleanvul,
   title={CleanVul: Automatic Function-Level Vulnerability Detection in Code Commits Using LLM Heuristics},