diff --git a/src/papyrus_scripts/__init__.py b/src/papyrus_scripts/__init__.py
index bfb035e..d522244 100644
--- a/src/papyrus_scripts/__init__.py
+++ b/src/papyrus_scripts/__init__.py
@@ -16,4 +16,4 @@
 from .utils.mol_reader import MolSupplier
 from .utils import IO, UniprotMatch
 
-__version__ = '1.0.0'
+__version__ = '1.0.1'
diff --git a/src/papyrus_scripts/preprocess.py b/src/papyrus_scripts/preprocess.py
index 8642bd2..d15bb0a 100644
--- a/src/papyrus_scripts/preprocess.py
+++ b/src/papyrus_scripts/preprocess.py
@@ -83,7 +83,7 @@ def _chunked_keep_quality(chunks: Union[PandasTextFileReader, Iterator], min_qua
         yield filtered_chunk
 
 
-def process_group(group):
+def process_group(group, additional_columns: Optional[List[str]] = None):
     """Aggregate data from one group accordingly"""
     if (group.values[0] == group.values).all():  # If all values are equal, return first record
         group['pchembl_value_Mean'] = group['pchembl_value']
@@ -93,13 +93,20 @@ def process_group(group):
         group['pchembl_value_Median'] = group['pchembl_value']
         group['pchembl_value_MAD'] = np.NaN
         return group.iloc[:1, :]
+    # Lambda: Return one value if all are the same
     listvals = lambda x: ';'.join(set(str(y) for y in x)) if (x.values[0] == x.values).all() else ';'.join(
         str(y) for y in x)
+    # Lambda: Return all values everytime
     listallvals = lambda x: ';'.join(str(y) for y in x)
+    # Aggregation rules
     mappings = {'source': 'first', 'CID': listvals, 'AID': listvals,
-                'type_IC50': listallvals, 'type_EC50': listallvals, 'type_KD': listallvals,
-                'type_Ki': listallvals, 'type_other': listallvals, 'relation': listvals,
+                'type_IC50': listvals, 'type_EC50': listvals, 'type_KD': listvals,
+                'type_Ki': listvals, 'type_other': listvals, 'relation': listvals,
                 'pchembl_value': listallvals}
+    # Consider other columns
+    if additional_columns is not None:
+        for column in additional_columns:
+            mappings[column] = listvals
     return pd.concat([group.groupby('Activity_ID').aggregate(mappings).reset_index(),
                       group.groupby('Activity_ID')['pchembl_value'].aggregate(pchembl_value_Mean='mean',
                                                                               pchembl_value_StdDev='std',
@@ -110,9 +117,9 @@ def process_group(group):
                                                                               ).reset_index(drop=True)], axis=1)
 
 
-def process_groups(groups):
+def process_groups(groups, additional_columns: Optional[List[str]] = None):
     """Aggregate data from multiple groups"""
-    return pd.concat([process_group(group) for group in groups])
+    return pd.concat([process_group(group, additional_columns) for group in groups])
 
 
 def keep_source(data: Union[pd.DataFrame, PandasTextFileReader, Iterator], source: Union[List[str], str] = 'all', njobs: int = 1,
diff --git a/src/papyrus_scripts/utils/links.json b/src/papyrus_scripts/utils/links.json
index ab9eb96..a39fb6a 100644
--- a/src/papyrus_scripts/utils/links.json
+++ b/src/papyrus_scripts/utils/links.json
@@ -28,9 +28,9 @@
     ],
     "papyrus++": {
       "name": "05.4++_combined_set_without_stereochemistry.tsv.xz",
-      "url": "https://drive.google.com/uc?id=1Z3Y7BTrUxgui1E6e1qYbG-YiCEPf_95L&confirm=t",
-      "size": 96413812,
-      "sha256": "e37aef941739ec2524a13a25d515812e91b90f2241bf4c1185096ed5e5a01999"
+      "url": "https://drive.google.com/uc?id=1ES8V3Pbw3xVpDIjs9J2RL2jeTHr_YTm0&confirm=t",
+      "size": 40278204,
+      "sha256": "42dcbe76b33ad541f6c54673eccffa15af64785cf844938c0f73518dfdf4404b"
     },
     "2D_papyrus": {
       "name": "05.4_combined_set_without_stereochemistry.tsv.xz",
@@ -132,9 +132,9 @@
     }],
     "papyrus++": {
       "name": "05.5++_combined_set_without_stereochemistry.tsv.xz",
-      "url": "https://zenodo.org/record/7019874/files/05.5%2B%2B_combined_set_without_stereochemistry.tsv.xz?download=1",
-      "size": 116092692,
-      "sha256": "ad15ac5535c6640f8dc3e501b1c7fd0cb39b7bbcd025e4506ec5efc82ec0a266"
+      "url": "https://drive.google.com/uc?id=11QDDruvyf8OhVuGf5V38etvorL8SPqcp&confirm=t",
+      "size": 41357608,
+      "sha256": "8ecaea9533f3c475dca6d335f30dd1b4abb259fa77b7441548dd15879e1afa58"
     },
     "2D_papyrus": {
       "name": "05.5_combined_set_without_stereochemistry.tsv.xz",
@@ -224,9 +224,9 @@
     },
     "papyrus++": {
       "name": "05.6++_combined_set_without_stereochemistry.tsv.xz",
-      "url": "https://zenodo.org/record/7377161/files/05.6%2B%2B_combined_set_without_stereochemistry.tsv.xz?download=1",
-      "size": 104203892,
-      "sha256": "3499c9364a3a9044090ccdf44f21346546945f729c79925de0906194eec9a0b2"
+      "url": "https://drive.google.com/uc?id=1KCzcAJBvn_EcYjyBrOTmxzWFKGoazJp2&confirm=t",
+      "size": 31085780,
+      "sha256": "7518019c3ba287cd4cd0ff29425fe9da8a4760d891d22ed1abb33da4920cf96a"
     },
     "2D_papyrus": {
       "name": "05.6_combined_set_without_stereochemistry.tsv.xz",