Update tasks/image.py

tasks/image.py

@@ -90,10 +90,9 @@ async def evaluate_image(request: ImageEvaluationRequest):
     
     # Load and prepare the dataset
     dataset = load_dataset(request.dataset_name, token=os.getenv("HF_TOKEN"))
-    
+
     # Split dataset
-    train_test = dataset["train"].train_test_split(test_size=request.test_size, seed=request.test_seed)
-    test_dataset = train_test["test"]
+    test_dataset = dataset["test"]
 
     # model = YOLOv10("best.pt")
     model = YOLOv10("best.onnx")