update benchmark displayed questions

backend/routes/questions.py

@@ -32,14 +32,12 @@ async def get_benchmark_questions(session_id: str):
         questions = []
         
         try:
-            # Essayer de charger les questions single-shot directement avec le nom de config
+            # Try to load single-shot questions directly with the config name
             single_dataset = load_dataset(dataset_repo_id, 'single_shot_questions')
             if single_dataset and len(single_dataset['train']) > 0:
-                # Prendre 2 questions à partir de l'index 1 (en évitant la première question)
+                # Take all questions starting from index 1 (avoiding the first question)
                 start_idx = 1
-                max_questions = min(5, max(0, len(single_dataset['train']) - start_idx))
-                for i in range(max_questions):
-                    idx = start_idx + i
+                for idx in range(start_idx, len(single_dataset['train'])):
                     questions.append({
                         "id": str(idx),
                         "question": single_dataset['train'][idx].get("question", ""),
@@ -50,27 +48,6 @@ async def get_benchmark_questions(session_id: str):
         except Exception as e:
             print(f"Error loading single-shot questions: {str(e)}")
         
-        # try:
-        #     # Essayer de charger les questions multi-hop si nécessaire
-        #     if len(questions) < 2:
-        #         multi_dataset = load_dataset(dataset_repo_id, 'multi_hop_questions')
-        #         if multi_dataset and len(multi_dataset['train']) > 0:
-        #             # Prendre les questions multi-hop pour compléter, en évitant aussi la première
-        #             start_idx = 1
-        #             remaining = 2 - len(questions)
-        #             max_questions = min(remaining, max(0, len(multi_dataset['train']) - start_idx))
-        #             for i in range(max_questions):
-        #                 idx = start_idx + i
-        #                 questions.append({
-        #                     "id": str(idx),
-        #                     "question": multi_dataset['train'][idx].get("question", ""),
-        #                     "answer": multi_dataset['train'][idx].get("self_answer", "No answer available"),
-        #                     "type": "multi_hop"
-        #                 })
-        #             print(f"Loaded {len(questions)} multi-hop questions")
-        # except Exception as e:
-        #     print(f"Error loading multi-hop questions: {str(e)}")
-        
         # If we couldn't load any questions, the dataset might not exist
         if len(questions) == 0:
             # Check if we have a directory for this session locally as fallback