diff --git a/options/default_dataset_opt.yml b/options/default_dataset_opt.yml
index 475afc4..e26e96a 100644
--- a/options/default_dataset_opt.yml
+++ b/options/default_dataset_opt.yml
@@ -79,14 +79,14 @@ ava:
 
 pipal:
   name: PIPAL
-  type: GeneralFRDataset
+  type: PIPALDataset 
   dataroot_target: './datasets/PIPAL/Dist_Imgs'
   dataroot_ref: './datasets/PIPAL/Train_Ref'
   meta_info_file: './datasets/meta_info/meta_info_PIPALDataset.csv'
 
 flive:
   name: FLIVE
-  type: GeneralNRDataset
+  type: FLIVEDataset 
   dataroot_target: './datasets/FLIVE_Database/database'
   meta_info_file: './datasets/meta_info/meta_info_FLIVEDataset.csv'
   split_file: './datasets/train_split_info/flive_official.pkl'
diff --git a/pyiqa/data/flive_dataset.py b/pyiqa/data/flive_dataset.py
index ff51fb8..db82cf5 100644
--- a/pyiqa/data/flive_dataset.py
+++ b/pyiqa/data/flive_dataset.py
@@ -9,7 +9,7 @@
 from torchvision.transforms.functional import normalize
 
 from pyiqa.data.data_util import read_meta_info_file
-from pyiqa.data.transforms import transform_mapping 
+from pyiqa.data.transforms import transform_mapping
 from pyiqa.utils import FileClient, imfrombytes, img2tensor
 from pyiqa.utils.registry import DATASET_REGISTRY
 
@@ -41,12 +41,7 @@ def __init__(self, opt):
                 else:
                     splits = split_dict[split_index][opt['override_phase']]
 
-            if opt['phase'] == 'train':
-                self.paths_mos = [self.paths_mos[i] for i in splits]
-            else:
-                # remove patches during validation and test
-                self.paths_mos = [self.paths_mos[i] for i in splits]
-                self.paths_mos = [[p, m] for p, m in self.paths_mos if not 'patches/' in p]
+            self.paths_mos = [self.paths_mos[i] for i in splits]
 
         dmos_max = opt.get('dmos_max', 0.)
         if dmos_max: