diff --git a/exps/NATS-Bench/sss-collect.py b/exps/NATS-Bench/sss-collect.py
index 37afe15..a17f8b1 100644
--- a/exps/NATS-Bench/sss-collect.py
+++ b/exps/NATS-Bench/sss-collect.py
@@ -10,7 +10,7 @@
 # Usage:                                                                     #
 # python exps/NATS-Bench/sss-collect.py                                      #
 ##############################################################################
-import os, re, sys, time, argparse, collections
+import os, re, sys, time, shutil, argparse, collections
 import numpy as np
 import torch
 from tqdm import tqdm
@@ -26,6 +26,8 @@ from nas_201_api  import ArchResults, ResultsCount
 from procedures   import bench_pure_evaluate as pure_evaluate, get_nas_bench_loaders
 from utils        import get_md5_file
 
+NATS_TSS_BASE_NAME = 'NATS-tss-v1_0'  # 2020.08.28
+
 
 def account_one_arch(arch_index: int, arch_str: Text, checkpoints: List[Text], datasets: List[Text]) -> ArchResults:
   information = ArchResults(arch_index, arch_str)
@@ -231,8 +233,16 @@ def simplify(save_dir, save_name, nets, total):
                  'evaluated_indexes': evaluated_indexes}
   save_file_name = save_dir / '{:}.npy'.format(save_name)
   np.save(str(save_file_name), final_infos)
-  import pdb; pdb.set_trace()
-  print ('Save {:} / {:} architecture results into {:}.'.format(len(evaluated_indexes), total, save_file_name))
+  # move the benchmark file to a new path
+  hd5sum = get_md5_file(save_file_name)
+  hd5_file_name = save_dir / '{:}-{:}.npy'.format(NATS_TSS_BASE_NAME, hd5sum)
+  shutil.move(save_file_name, hd5_file_name)
+  print('Save {:} / {:} architecture results into {:} -> {:}.'.format(len(evaluated_indexes), total, save_file_name, hd5_file_name))
+  # move the directory to a new path
+  hd5_full_save_dir = save_dir / '{:}-{:}-full'.format(NATS_TSS_BASE_NAME, hd5sum)
+  hd5_simple_save_dir = save_dir / '{:}-{:}-simple'.format(NATS_TSS_BASE_NAME, hd5sum)
+  shutil.move(full_save_dir, hd5_full_save_dir)
+  shutil.move(simple_save_dir, hd5_simple_save_dir)
 
 
 def traverse_net(candidates: List[int], N: int):