diff --git a/common_dataset.py b/common_dataset.py
index 42c4c191ae891b3217c7dd009025aa6aa5b9ab74..dbed634aaaeed2d4aab3ac259ca286e7cd66c32e 100644
--- a/common_dataset.py
+++ b/common_dataset.py
@@ -165,17 +165,17 @@ def load_data(path_train, path_val, path_test, batch_size, length, pad=False, co
     return train_loader, val_loader, test_loader
 
 
-irt_train = np.load('data/intensity/collision_irt_train.npy')
-seq_train = np.load('data/intensity/sequence_train.npy')
-charge_train = np.load('data/intensity/precursor_charge_train.npy')
-spectra_train = np.load('data/intensity/intensity_train.npy')
-
-irt_holdout = np.load('data/intensity/collision_irt_holdout.npy')
-seq_holdout = np.load('data/intensity/sequence_holdout.npy')
-charge_holdout = np.load('data/intensity/precursor_charge_holdout.npy')
-spectra_holdout = np.load('data/intensity/intensity_holdout.npy')
-
-dataset_train = pd.DataFrame({'Sequence':list(seq_train), 'Retention time':list(irt_train), 'Charge':list(charge_train), 'Spectra' : list(spectra_train)},index=list(range(6787933)))
-dataset_train.to_pickle('database/data_prosit_merged_train.pkl')
-dataset_test = pd.DataFrame({'Sequence':list(seq_holdout), 'Retention time':list(irt_holdout), 'Charge':list(charge_holdout), 'Spectra' : list(spectra_holdout)},index=list(range(754215)))
-dataset_train.to_pickle('database/data_prosit_merged_holdout.pkl')
\ No newline at end of file
+# irt_train = np.load('data/intensity/collision_irt_train.npy')
+# seq_train = np.load('data/intensity/sequence_train.npy')
+# charge_train = np.load('data/intensity/precursor_charge_train.npy')
+# spectra_train = np.load('data/intensity/intensity_train.npy')
+#
+# irt_holdout = np.load('data/intensity/collision_irt_holdout.npy')
+# seq_holdout = np.load('data/intensity/sequence_holdout.npy')
+# charge_holdout = np.load('data/intensity/precursor_charge_holdout.npy')
+# spectra_holdout = np.load('data/intensity/intensity_holdout.npy')
+#
+# dataset_train = pd.DataFrame({'Sequence':list(seq_train), 'Retention time':list(irt_train), 'Charge':list(charge_train), 'Spectra' : list(spectra_train)},index=list(range(6787933)))
+# dataset_train.to_pickle('database/data_prosit_merged_train.pkl')
+# dataset_test = pd.DataFrame({'Sequence':list(seq_holdout), 'Retention time':list(irt_holdout), 'Charge':list(charge_holdout), 'Spectra' : list(spectra_holdout)},index=list(range(754215)))
+# dataset_train.to_pickle('database/data_prosit_merged_holdout.pkl')
\ No newline at end of file
diff --git a/data/intensity/intensity_train.npy b/data/intensity/intensity_train.npy
index c4da2bf768efb229b1c2d4016063b90c2e387c49..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 100644
Binary files a/data/intensity/intensity_train.npy and b/data/intensity/intensity_train.npy differ
diff --git a/dataloader.py b/dataloader.py
index 89a0083eac601fcf0608b37c632400af6a064b73..743676ecb9535962056cc4dc5b216b6a18aa0928 100644
--- a/dataloader.py
+++ b/dataloader.py
@@ -195,9 +195,9 @@ class Intentsity_Dataset(Dataset):
         return torch.tensor(self.seq[idx]), torch.tensor([self.energy[idx]]).float(), torch.tensor(
             self.precursor_charge[idx]), torch.tensor(self.intensity[idx]).float()
 
-storage = H5ToStorage('database/traintest_hcd.hdf5')
-storage.make_npy_file('data/intensity/method_train.npy','method')
-storage.make_npy_file('data/intensity/sequence_train.npy','sequence_integer')
-storage.make_npy_file('data/intensity/intensity_train.npy', 'intensities_raw')
-storage.make_npy_file('data/intensity/collision_energy_train.npy', 'collision_energy_aligned_normed')
-storage.make_npy_file('data/intensity/precursor_charge_train.npy', 'precursor_charge_onehot')
+# storage = H5ToStorage('database/traintest_hcd.hdf5')
+# storage.make_npy_file('data/intensity/method_train.npy','method')
+# storage.make_npy_file('data/intensity/sequence_train.npy','sequence_integer')
+# storage.make_npy_file('data/intensity/intensity_train.npy', 'intensities_raw')
+# storage.make_npy_file('data/intensity/collision_energy_train.npy', 'collision_energy_aligned_normed')
+# storage.make_npy_file('data/intensity/precursor_charge_train.npy', 'precursor_charge_onehot')