Update src/assets/text_content.py

src/assets/text_content.py

@@ -8,19 +8,22 @@ INTRODUCTION_TEXT = f"""
 The data on this page is sourced from a research paper. If you intend to use the data from this page, please remember to cite the following source: https://arxiv.org/abs/2303.07992
 
 We compare the current SOTA traditional KBQA models (fine-tuned (FT) and zero-shot (ZS)),
+
 LLMs in the GPT family, and Other Non-GPT LLM. In QALD-9 and LC-quad2, the evaluation metric used is F1, while other datasets use Accuracy (Exact match).
 
 """
 
 LLM_BENCHMARKS_TEXT = f"""
-ChatGPT is a powerful large language model (LLM) that
-covers knowledge resources such as Wikipedia and supports natural language question answering using its own knowledge. Therefore, there is
-growing interest in exploring whether ChatGPT can replace traditional
-knowledge-based question answering (KBQA) models. Although there
-have been some works analyzing the question answering performance of
-ChatGPT, there is still a lack of large-scale, comprehensive testing of various types of complex questions to analyze the limitations of the model.
-In this paper, we present a framework that follows the black-box testing specifications of CheckList proposed by Microsoft. We evaluate ChatGPT
-and its family of LLMs on eight real-world KB-based complex question answering datasets, which include six English datasets and two multilingual datasets.
+ChatGPT is a powerful large language model (LLM) that covers knowledge resources such as Wikipedia and supports natural language question answering using its own knowledge. 
+
+Therefore, there is growing interest in exploring whether ChatGPT can replace traditional knowledge-based question answering (KBQA) models.
+
+Although there have been some works analyzing the question answering performance of ChatGPT, there is still a lack of large-scale, comprehensive testing of various types of complex questions to analyze the limitations of the model.
+
+In this paper, we present a framework that follows the black-box testing specifications of CheckList proposed by Microsoft. 
+
+We evaluate ChatGPT and its family of LLMs on eight real-world KB-based complex question answering datasets, which include six English datasets and two multilingual datasets.
+
 The total number of test cases is approximately 190,000.
 
 """