Update README.md

README.md

@@ -35,7 +35,9 @@ configs:
 
 # ghigliottinAI MCQA
 
-Original Papers: https://ghigliottin-ai.github.io/ https://nlp4fun.github.io/
+References:
+- https://ghigliottin-ai.github.io/
+- https://nlp4fun.github.io/
 
 Starting from two different EVALITA tasks, nlp4fun (EVALITA 2018) and ghigliottin-AI (EVALITA 2020), we collected cc. 600 different games extracted from TV show and from BOARDGAME of "L'Eredità".
 
@@ -96,4 +98,16 @@ Date le parole: {{w1}}, {{w2}}, {{w3}}, {{w4}}, {{w5}}\nDomanda: Quale tra i seg
 | ZEFIRO | 40.86 |
 | Llama-3-8B | 46.65 |
 | Llama-3-8B-IT | 47.38 |
-| ANITA | 41.95 |
+| ANITA | 41.95 |
+
+## Acknowledge
+
+We want to thanks the authors of this resource to publicly release such interesting 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.
+
+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).
+
+## License
+
+No license found on original data.