Update README.md

README.md

@@ -125,11 +125,11 @@ Here some results are reported from the two prompting strategies
 
 ## Acknowledge
 
-We want to thanks the authors of this resource to publicly release such interesting benchmark.
+We would like to thank the authors of this resource for publicly releasing such an intriguing benchmark.
 
-Further, We want to thanks the student of [MNLP-2024 course](https://naviglinlp.blogspot.com/), where with their first homework tried different interesting prompting strategies and reframing strategies.
+Further, We want to thanks the student of [MNLP-2024 course](https://naviglinlp.blogspot.com/), where with their first homework tried different interesting prompting strategies, reframing strategies, and distractor generation approaches.
 
-The data can be freely downloaded form the following links: [link_1](https://github.com/ghigliottin-AI/ghigliottin-AI.github.io), [link_2](https://github.com/nlp4fun/nlp4fun.github.io).
+The original dataset is freely available for download [link_1](https://github.com/ghigliottin-AI/ghigliottin-AI.github.io), [link_2](https://github.com/nlp4fun/nlp4fun.github.io).
 
 ## License