Update README.md

README.md

@@ -279,8 +279,8 @@ We also selected three authoritative datasets containing benign samples:
 
 + **fka/awesome-chatgpt-prompts**[<sup>[awesome]</sup>](#awesome): 203 English samples  
 + **StrongReject-Benign**[<sup>[Chi2024]</sup>](#Chi2024): 3,800 English samples, the benign portion of StrongReject  
-+ **COIG-COIA**[<sup>[COIA]</sup>](#COIA): 44,694 Chinese samples  
-  > COIG-COIA (Chinese Open Instruction Generalist - *Quality is All You Need*) is an open-source, high-quality instruction tuning dataset designed to support human-aligned interactions in the Chinese NLP community.
++ **COIG-CQIA**[<sup>[CQIA]</sup>](#CQIA): 44,694 Chinese samples  
+  > COIG-CQIA (Chinese Open Instruction Generalist - *Quality is All You Need*) is an open-source, high-quality instruction tuning dataset designed to support human-aligned interactions in the Chinese NLP community.
 
 By merging the six datasets listed above, we constructed a comprehensive test set to evaluate the effectiveness of the proposed method on third-party data. This test set contains: