inter-user agreemnet and other notebooks

scripts/esercitazione_12_2025/README.md

@@ -6,5 +6,8 @@
 - [analisi_esercitazione_12_2025_embedding](analisi_esercitazione_12_2025_embedding) the notebook builds a classifier on the semantic representation of the text generated by the LLM
 - [analisi_esercitazione_12_2025_classificatore](analisi_esercitazione_12_2025_classificatore) the notebook builds a classifier based on some features related to user-LLM alt text similarities, text readibility, etc. 
 - [analisi_esercitazione_ricostruzione_associazioni](analisi_esercitazione_ricostruzione_associazioni) the notebook rebuilds the exercise dataset based on the DB dumbs from UI and backend microservices
-- [analisi_esercitazione_12_2025_models_comparisons](analisi_esercitazione_12_2025_models_comparisons) starting from the rebuild exercise dataset, the notebook performs some test switching LLM model and/or prompt
-
+- [analisi_esercitazione_12_2025_models_comparisons](analisi_esercitazione_12_2025_models_comparisons) starting from the rebuild exercise dataset, the notebook performs some test switching LLM model and/or prompt (also english translation)
+- [analisi_esercitazione_12_2025_build_full_dataset](analisi_esercitazione_12_2025_build_full_dataset) rerun all the features building using pandas apply
+- [analisi_esercitazione_12_2025_clip](analisi_esercitazione_12_2025_clip) run CLIP score calculation between image and alt-text
+- [analisi_esercitazione_12_2025_inter_user_agreement](analisi_esercitazione_12_2025_inter_user_agreement) calculate inter-user agreements and inter LLM runs agreements 
+- [analisi_esercitazione_12_2025_distributions_comparison](analisi_esercitazione_12_2025_distributions_comparison) perform some indicator calculations to compare two candidates distrubutions with a reference one