update column name

create_valid_csv.py

@@ -74,9 +74,9 @@ if __name__ == "__main__":
         valid_df_source["source"] = source
         all_dfs.append(valid_df_source)
 
-        # Add is_cloned_voice column
+        # Add cloned_or_real column
         is_cloned_voice = source != "commonvoice"
-        valid_df_source["is_cloned_voice"] = is_cloned_voice
+        valid_df_source["cloned_or_human"] = "cloned" if is_cloned_voice else "human"
 
         # Add fname column
         valid_df_source["filename"] = valid_df_source["path"]
@@ -92,8 +92,8 @@ if __name__ == "__main__":
     print()
 
     print("Statistics:")
-    print("Number of original voices: ", len(all_df[all_df.is_cloned_voice == False]))
-    print("Number of cloned voices: ", len(all_df[all_df.is_cloned_voice == True]))
+    print("Number of human voices: ", len(all_df[all_df.cloned_or_human == "human"]))
+    print("Number of cloned voices: ", len(all_df[all_df.cloned_or_human == "cloned"]))
     print("Number of TOTAL voices: ", len(all_df))
     print()
 
@@ -105,6 +105,10 @@ if __name__ == "__main__":
     print(all_df.gender.value_counts())
     print()
 
-    print("Gender distribution (not cloned):")
-    print(all_df[all_df.is_cloned_voice == False].gender.value_counts())
-    print()
+    print("Gender distribution (human):")
+    print(all_df[all_df.cloned_or_human == "human"].gender.value_counts())
+    print()
+
+    print("Gender distribution (cloned):")
+    print(all_df[all_df.cloned_or_human == "cloned"].gender.value_counts())
+    print()

metadata-valid.csv

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2d078991bedfe4aecaca197f17f857bd395c80a3cfc39dab4a7330fa42834059
-size 849080
+oid sha256:e02789c50fa8265b537e4ab06d73d4fa2b833957dd1c5b2675ec836cd648e174
+size 856672