diff --git a/KAIR/options/optuna_options.json b/KAIR/options/optuna_options.json
index e9c9686..9ac1446 100644
--- a/KAIR/options/optuna_options.json
+++ b/KAIR/options/optuna_options.json
@@ -27,8 +27,8 @@
     "train": {
       "name": "train_dataset"           // just name
       , "dataset_type": "ffdnet"         // "dncnn" | "dnpatch" for dncnn,  | "fdncnn" | "ffdnet" | "sr" | "srmd" | "dpsr" | "plain" | "plainpatch"
-      , "dataroot_H": "trainsets/ground-truth" // path of H training dataset
-      , "dataroot_L": "trainsets/simulations" // path of L training dataset, if using noisy H type: null
+      , "dataroot_H": "path/to/train_original" // path of H training dataset
+      , "dataroot_L": "path/to/train_degraded" // path of L training dataset, if using noisy H type: null
       , "sigma": [0, 20]      // 15, 25, 50 for DnCNN | [0, 75] for FFDNet and FDnCNN
       , "num_patches_per_image": 21   // number of random patches of training image
       , "H_size": 256                    // patch size 40 | 64 | 96 | 128 | 192
@@ -39,8 +39,8 @@
     , "test": {
       "name": "test_dataset"            // just name
       , "dataset_type": "ffdnet"         // "dncnn" | "dnpatch" for dncnn,  | "fdncnn" | "ffdnet" | "sr" | "srmd" | "dpsr" | "plain" | "plainpatch"
-      , "dataroot_H": "valsets/ground-truth"  // path of H testing dataset
-      , "dataroot_L": "valsets/simulations"   // path of L testing dataset
+      , "dataroot_H": "path/to/val_original"  // path of H testing dataset
+      , "dataroot_L": "path/to/val_degraded"   // path of L testing dataset
       , "sigma_test": 15 // 15, 25, 50 for DnCNN and ffdnet
     }
   }
diff --git a/KAIR/options/tempest_simulation.json b/KAIR/options/tempest_simulation.json
index 7f15699..f7e1939 100644
--- a/KAIR/options/tempest_simulation.json
+++ b/KAIR/options/tempest_simulation.json
@@ -1,9 +1,9 @@
 {
     "paths": {
-        "folder_original_images": "web_imgs_tmp/test",    
+        "folder_original_images": "path/to/folder",    
         "__comment1__": "Insert input folder (original images)",
 
-        "folder_simulated_images": "testsets/simulations",
+        "folder_simulated_images": "path/to/new_folder",
         "__comment2__": "Insert output folder (tempest degraded images)"
     },
     
diff --git a/KAIR/options/test_drunet.json b/KAIR/options/test_drunet.json
index 2f3e806..6921521 100644
--- a/KAIR/options/test_drunet.json
+++ b/KAIR/options/test_drunet.json
@@ -9,7 +9,7 @@
 
   , "path": {
     "root": "drunet_inference"            // "denoising" | "superresolution"
-    , "pretrained_netG": "denoising/drunet/models/70_G.pth"    // path of pretrained model, if model from scratch type: null
+    , "pretrained_netG": "path/to/model"    // path of pretrained model, if model from scratch type: null
   }
 
   , "datasets": {
@@ -28,8 +28,8 @@
     , "test": {
       "name": "test_dataset"            // just name
       , "dataset_type": "ffdnet"         // "dncnn" | "dnpatch" for dncnn,  | "fdncnn" | "ffdnet" | "sr" | "srmd" | "dpsr" | "plain" | "plainpatch"
-      , "dataroot_H": "trainsets/ground-truth"  // path of H testing dataset
-      , "dataroot_L": "trainsets/simulations"   // path of L testing dataset
+      , "dataroot_H": "web_subset/capturas_splitter"  // path of H testing dataset
+      , "dataroot_L": "web_subset/capturas_splitter"   // path of L testing dataset
       , "sigma_test": 0 // 15, 25, 50 for DnCNN and ffdnet
     }
   }
diff --git a/KAIR/options/train_drunet.json b/KAIR/options/train_drunet.json
index c78d175..e887eb8 100644
--- a/KAIR/options/train_drunet.json
+++ b/KAIR/options/train_drunet.json
@@ -8,16 +8,16 @@
   , "n_channels_datasetload": 3 // broadcast to image training set
 
   , "path": {
-    "root": "denoising"            // "denoising" | "superresolution"
-    , "pretrained_netG": "denoising/drunet/models/170_G.pth"    // path of pretrained model, if model from scratch type: null
+    "root": "drunet_training"            // "denoising" | "superresolution"
+    , "pretrained_netG": "path/to/model"    // path of pretrained model, if model from scratch type: null
   }
 
   , "datasets": {
     "train": {
       "name": "train_dataset"           // just name
       , "dataset_type": "ffdnet"         // "dncnn" | "dnpatch" for dncnn,  | "fdncnn" | "ffdnet" | "sr" | "srmd" | "dpsr" | "plain" | "plainpatch"
-      , "dataroot_H": "train_val/ground-truth"// path of H training dataset
-      , "dataroot_L": "train_val/simulations" // path of L training dataset, if using noisy H type: null
+      , "dataroot_H": "path/to/train_original"// path of H training dataset
+      , "dataroot_L": "path/to/train_degraded" // path of L training dataset, if using noisy H type: null
       , "sigma": [0, 20]      // 15, 25, 50 for DnCNN | [0, 75] for FFDNet and FDnCNN
       , "use_all_patches": true     // use or not all image patches
       , "skip_natural_patches": false// keep only non-natural image patches/text based image patches
@@ -30,8 +30,8 @@
     , "test": {
       "name": "test_dataset"            // just name
       , "dataset_type": "ffdnet"         // "dncnn" | "dnpatch" for dncnn,  | "fdncnn" | "ffdnet" | "sr" | "srmd" | "dpsr" | "plain" | "plainpatch"
-      , "dataroot_H": null  // path of H testing dataset
-      , "dataroot_L": null   // path of L testing dataset
+      , "dataroot_H": "path/to/val_original"  // path of H testing dataset
+      , "dataroot_L": "path/to/val_degraded"   // path of L testing dataset
       , "sigma_test": 15 // 15, 25, 50 for DnCNN and ffdnet
     }
   }
diff --git a/KAIR/options/train_drunet_finetuning.json b/KAIR/options/train_drunet_finetuning.json
index 218f74b..66e236f 100644
--- a/KAIR/options/train_drunet_finetuning.json
+++ b/KAIR/options/train_drunet_finetuning.json
@@ -8,15 +8,15 @@
   , "n_channels_datasetload": 3 // broadcast to image training set
 
   , "path": {
-    "root": "max_entropy_thrs_test"  // "finetuning_{border, middle}"
-    , "pretrained_netG": "finetuning_down2_down3_up3_up2/drunet/models/100_G.pth"    // path of pretrained model, if model from scratch type: null
+    "root": "finetuning"  // "finetuning_{border, middle}"
+    , "pretrained_netG": "path/to/model"    // path of pretrained model, if model from scratch type: null
   }
 
   , "datasets": {
     "train": {
       "name": "train_dataset"           // just name
       , "dataset_type": "drunet_finetune"         // "dncnn" | "dnpatch" for dncnn,  | "fdncnn" | "ffdnet" | "sr" | "srmd" | "dpsr" | "plain" | "plainpatch"
-      , "dataroot_H": null // path of H training dataset
+      , "dataroot_H": "path/to/train_original" // path of H training dataset
       , "dataroot_L": null // path of L training dataset, not used for finetuning
       , "sigma": [0, 0]      // 15, 25, 50 for DnCNN | [0, 75] for FFDNet and FDnCNN
       , "use_all_patches": true     // use or not all image patches
@@ -30,7 +30,7 @@
     , "test": {
       "name": "test_dataset"            // just name
       , "dataset_type": "drunet_finetune"         // "drunet" | "drunet_finetune" | "dncnn" | "dnpatch" for dncnn,  | "fdncnn" | "ffdnet" | "sr" | "srmd" | "dpsr" | "plain" | "plainpatch"
-      , "dataroot_H": "finetuning_images/test"  // path of H testing dataset
+      , "dataroot_H": "path/to/val_original"  // path of H testing dataset
       , "dataroot_L": null   // path of L testing dataset, not used for finetuning
       , "sigma_test": 0 // 15, 25, 50 for DnCNN and ffdnet
     }