diff --git a/explaining_framework/utils/config_gen.py b/explaining_framework/utils/config_gen.py
index b9a6939..c6a1891 100644
--- a/explaining_framework/utils/config_gen.py
+++ b/explaining_framework/utils/config_gen.py
@@ -2,15 +2,11 @@ import glob
 import os
 import shutil
 
-from explaining_framework.utils.io import read_yaml, write_yaml
 from torch_geometric.data.makedirs import makedirs
 from torch_geometric.graphgym.loader import create_dataset
 from torch_geometric.graphgym.utils.io import string_to_python
 
-
-def chunkizing_list(l, n):
-    return [l[i : i + n] for i in range(0, len(l), n)]
-
+from explaining_framework.utils.io import read_yaml, write_yaml
 
 if "__main__" == __name__:
     config_folder = os.path.abspath(
@@ -21,61 +17,60 @@ if "__main__" == __name__:
     makedirs(explaining_folder)
     explainer_folder = os.path.join(config_folder, "explaining")
     makedirs(explainer_folder)
-    chunk = list(range(154, 160, 2))
 
     DATASET = [
         "CIFAR10",
-        # "TRIANGLES",
-        # "COLORS-3",
-        # "REDDIT-BINARY",
-        # "REDDIT-MULTI-5K",
-        # "REDDIT-MULTI-12K",
-        # "COLLAB",
-        # "DBLP_v1",
-        # "COIL-DEL",
-        # "COIL-RAG",
-        # "Fingerprint",
-        # "Letter-high",
-        # "Letter-low",
-        # "Letter-med",
-        # "MSRC_9",
-        # "MSRC_21",
-        # "MSRC_21C",
-        # "DD",
-        # "ENZYMES",
-        # "PROTEINS",
-        # "QM9",
-        # "MUTAG",
-        # "Mutagenicity",
-        # "AIDS",
-        # "PATTERN",
-        # "CLUSTER",
-        # "MNIST",
-        # "CIFAR10",
-        # "TSP",
-        # "CSL",
-        # "KarateClub",
-        # "CS",
-        # "Physics",
-        # "BBBP",
-        # "Tox21",
-        # "HIV",
-        # "PCBA",
-        # "MUV",
-        # "BACE",
-        # "SIDER",
-        # "ClinTox",
-        # "AIFB",
-        # "AM",
-        # "MUTAG",
-        # "BGS",
-        # "FAUST",
-        # "DynamicFAUST",
-        # "ShapeNet",
-        # "ModelNet10",
-        # "ModelNet40",
-        # "PascalVOC-SP",
-        # "COCO-SP",
+        "TRIANGLES",
+        "COLORS-3",
+        "REDDIT-BINARY",
+        "REDDIT-MULTI-5K",
+        "REDDIT-MULTI-12K",
+        "COLLAB",
+        "DBLP_v1",
+        "COIL-DEL",
+        "COIL-RAG",
+        "Fingerprint",
+        "Letter-high",
+        "Letter-low",
+        "Letter-med",
+        "MSRC_9",
+        "MSRC_21",
+        "MSRC_21C",
+        "DD",
+        "ENZYMES",
+        "PROTEINS",
+        "QM9",
+        "MUTAG",
+        "Mutagenicity",
+        "AIDS",
+        "PATTERN",
+        "CLUSTER",
+        "MNIST",
+        "CIFAR10",
+        "TSP",
+        "CSL",
+        "KarateClub",
+        "CS",
+        "Physics",
+        "BBBP",
+        "Tox21",
+        "HIV",
+        "PCBA",
+        "MUV",
+        "BACE",
+        "SIDER",
+        "ClinTox",
+        "AIFB",
+        "AM",
+        "MUTAG",
+        "BGS",
+        "FAUST",
+        "DynamicFAUST",
+        "ShapeNet",
+        "ModelNet10",
+        "ModelNet40",
+        "PascalVOC-SP",
+        "COCO-SP",
     ]
     EXPLAINER = [
         "CAM",
@@ -100,15 +95,14 @@ if "__main__" == __name__:
                 explaining_cfg = {}
                 # explaining_cfg['adjust']['strategy']= 'rpns'
                 # explaining_cfg['attack']['name']= 'all'
-                explaining_cfg[
-                    "cfg_dest"
-                ] = f"dataset={dataset_name}-model={model_kind}=explainer={explainer_name}-chunk=[{chunk[0]},{chunk[-1]}]"
+                explaining_cfg["cfg_dest"] = string_to_python(
+                    f"dataset={dataset_name}-model={model_kind}=explainer={explainer_name}"
+                )
+                # = f"dataset={dataset_name}-model={model_kind}=explainer={explainer_name}-chunk=[{chunk[0]},{chunk[-1]}]"
 
-                # = string_to_python(
-                # f"dataset={dataset_name}-model={model_kind}=explainer={explainer_name}"
                 explaining_cfg["dataset"] = {}
                 explaining_cfg["dataset"]["name"] = string_to_python(dataset_name)
-                explaining_cfg["dataset"]["item"] = chunk
+                # explaining_cfg["dataset"]["item"] = chunk
                 # explaining_cfg['explainer']['cfg']= 'default'
                 explaining_cfg["explainer"] = {}
                 explaining_cfg["explainer"]["name"] = string_to_python(explainer_name)
@@ -120,7 +114,7 @@ if "__main__" == __name__:
                 explaining_cfg["model"] = {}
                 explaining_cfg["model"]["ckpt"] = string_to_python(model_kind)
                 explaining_cfg["model"]["path"] = string_to_python(
-                    "/home/SIC/araison/test_ggym/pytorch_geometric/graphgym/results"
+                    "/media/data/SIC/araison/exps/pyg_fork/graphgym/results/graph_classif_base_grid_graph_classif_grid"
                 )
                 # explaining_cfg['out_dir']='./explanation'
                 # explaining_cfg['print']='both'