diff --git a/GPT_SoVITS/prepare_datasets/1-get-text.py b/GPT_SoVITS/prepare_datasets/1-get-text.py
index d9c53228..f4ed5fa6 100644
--- a/GPT_SoVITS/prepare_datasets/1-get-text.py
+++ b/GPT_SoVITS/prepare_datasets/1-get-text.py
@@ -79,7 +79,8 @@ if os.path.exists(txt_path) == False:
         return phone_level_feature.T
 
     def process(data, res):
-        for name, text, lan in tqdm(data, desc="Processing"):
+        print(i_part)
+        for name, text, lan in tqdm(data, desc=f"Process {i_part}"):
             try:
                 name = os.path.basename(name)
                 phones, word2ph, norm_text = clean_text(
diff --git a/GPT_SoVITS/prepare_datasets/2-get-hubert-wav32k.py b/GPT_SoVITS/prepare_datasets/2-get-hubert-wav32k.py
index bd9a1953..e5dfe56c 100644
--- a/GPT_SoVITS/prepare_datasets/2-get-hubert-wav32k.py
+++ b/GPT_SoVITS/prepare_datasets/2-get-hubert-wav32k.py
@@ -97,7 +97,7 @@ def name2go(wav_name,wav_path):
 with open(inp_text,"r",encoding="utf8")as f:
     lines=f.read().strip("\n").split("\n")
 
-for line in tqdm(lines[int(i_part)::int(all_parts)], desc="Processing"):
+for line in tqdm(lines[int(i_part)::int(all_parts)], desc=f"Process {i_part}"):
     try:
         # wav_name,text=line.split("\t")
         wav_name, spk_name, language, text = line.split("|")
diff --git a/GPT_SoVITS/prepare_datasets/3-get-semantic.py b/GPT_SoVITS/prepare_datasets/3-get-semantic.py
index be7067e0..ad0f6287 100644
--- a/GPT_SoVITS/prepare_datasets/3-get-semantic.py
+++ b/GPT_SoVITS/prepare_datasets/3-get-semantic.py
@@ -81,7 +81,7 @@ if os.path.exists(semantic_path) == False:
         lines = f.read().strip("\n").split("\n")
 
     lines1 = []
-    for line in tqdm(lines[int(i_part) :: int(all_parts)], desc="Processing"):
+    for line in tqdm(lines[int(i_part) :: int(all_parts)], desc=f"Process {i_part}"):
         # print(line)
         try:
             # wav_name,text=line.split("\t")