Update README.md

README.md

@@ -7,9 +7,9 @@ license: mit
 ### Dataset Summary
 
 PopQA-TP (PopQA Templated Paraphrases) is a dataset derived from PopQA (https://huggingface.co/datasets/akariasai/PopQA), created for the paper "Predicting Question-Answering Performance of Large Language Models
-through Semantic Consistency".  PopQA-TP takes each question in PopQA and paraphrases it using each of several manually-created templates specific to each question category.  The paper investigates the connection between
+through Semantic Consistency".  PopQA-TP takes each question in PopQA and paraphrases it using each of several manually-created templates specific to each question category. The paper investigates the relationship between
 the semantic consistency of generated answers to each question's paraphrases and the accuracy (correctness) of the generated answer to the original question, evaluated by string match to one of the ground
-truth answers.  PopQA-TP can be used as a benchmark dataset for measuring the semantic consistency of LLMs in the context of question-answering (QA).
+truth answers. PopQA-TP can be used as a benchmark dataset for evaluating the semantic consistency of LLMs in the context of factiod question-answering (QA).
 
 ### Data Instances