Update src/assets/text_content.py

src/assets/text_content.py

@@ -39,6 +39,7 @@ We have set up a benchmark using datasets translated into Korean, and applied va
 - Ko-Arc (provided by __[Upstage](https://www.upstage.ai/)__, human translation and variation)
 - Ko-Truthful QA (provided by __[Upstage](https://www.upstage.ai/)__, human translation and variation)
 - Ko-CommonGen V2 (provided by __[Korea University NLP&AI Lab](http://nlp.korea.ac.kr/)__, created from scratch)
+
 To provide an evaluation befitting the LLM era, we've selected benchmark datasets suitable for assessing these elements: expertise, inference, hallucination, and common sense. The final score is converted to the average score from each evaluation datasets.
 
 GPUs are provided by __[KT](https://cloud.kt.com/)__ for the evaluations.