My own trivial baseline

tasks/text.py

@@ -9,7 +9,7 @@ from .utils.emissions import tracker, clean_emissions_data, get_space_info
 
 router = APIRouter()
 
-DESCRIPTION = "Random Baseline"
+DESCRIPTION = "Most common class baseline"
 ROUTE = "/text"
 
 @router.post(ROUTE, tags=["Text Task"], 
@@ -57,8 +57,11 @@ async def evaluate_text(request: TextEvaluationRequest):
     #--------------------------------------------------------------------------------------------   
     
     # Make random predictions (placeholder for actual model inference)
-    true_labels = test_dataset["label"]
-    predictions = [random.randint(0, 7) for _ in range(len(true_labels))]
+    #true_labels = test_dataset["label"]
+    #predictions = [random.randint(0, 7) for _ in range(len(true_labels))]
+
+    # My favorate baseline is the most common class.
+    predictions = [0] * len(true_labels)
 
     #--------------------------------------------------------------------------------------------
     # YOUR MODEL INFERENCE STOPS HERE