diff --git a/cctorch/data.py b/cctorch/data.py
index 7b67c0a..82afc01 100644
--- a/cctorch/data.py
+++ b/cctorch/data.py
@@ -170,9 +170,7 @@ def __init__(
             self.block_index = list(itertools.product(range(len(self.group1)), range(len(self.group2))))[
                 rank::world_size
             ]
-            print(
-                f"Pairs: {len(self.pair_list)}, Blocks: {len(self.group1)} x {len(self.group2)} = {len(self.block_index)}"
-            )
+            print(f"Pairs: {len(self.pair_list)}, Blocks: {len(self.group1)} x {len(self.group2)}")
             print(
                 f"data_list1: {len(self.data_list1)}, data_list2: {len(self.data_list2)}, block_size1: {block_size1}, block_size2: {block_size2}"
             )
@@ -533,7 +531,7 @@ def read_pair_list(file_pair_list):
     # data_list2 = sorted(list(set(pairs_df["event2"].tolist())))
 
     pair_list = np.loadtxt(file_pair_list, delimiter=",", dtype=np.int64)
-    # pair_list = pair_list[:10_000_000]
+    # pair_list = pair_list[:1_000_000]
     data_list1 = np.unique(pair_list[:, 0]).tolist()
     data_list2 = np.unique(pair_list[:, 1]).tolist()
     pair_list = pair_list.tolist()
diff --git a/run.py b/run.py
index 2cdd4e7..8cd82b8 100644
--- a/run.py
+++ b/run.py
@@ -332,7 +332,7 @@ def __init__(self, config):
     # metric_logger = utils.MetricLogger(delimiter="  ")
     # log_freq = max(1, 10240 // args.batch_size) if args.mode == "CC" else 1
     # for data in metric_logger.log_every(dataloader, log_freq, ""):
-    for data in tqdm(dataloader):
+    for data in tqdm(dataloader, position=rank, desc=f"CC {rank}/{world_size}"):
         result = ccmodel(data)
 
         thread = threading.Thread(