Update NURC-SP_ENTOA_TTS.py

NURC-SP_ENTOA_TTS.py

@@ -24,6 +24,54 @@ _PATH_TO_CLIPS = {
     "train_automatic": "automatic/audios/train",
 }
 
+def debug_path_matching(csv_path, archive_files):
+    """
+    Debug utility to compare paths between CSV and archive files
+    """
+    import csv
+    from collections import defaultdict
+    
+    # Store CSV paths
+    csv_paths = set()
+    with open(csv_path, "r") as f:
+        reader = csv.DictReader(f)
+        for row in reader:
+            # Store both the full path and filename
+            path = row.get("path") or row.get("file_path")
+            csv_paths.add(path)
+            csv_paths.add(path.split("/")[-1])
+    
+    # Compare with archive paths
+    archive_paths = set()
+    matches = defaultdict(list)
+    
+    for path, _ in archive_files:
+        archive_paths.add(path)
+        archive_paths.add(path.split("/")[-1])
+        
+        # Check for matches
+        for csv_path in csv_paths:
+            if path.endswith(csv_path) or csv_path.endswith(path):
+                matches[path].append(csv_path)
+    
+    print("=== Debug Report ===")
+    print(f"CSV Paths: {len(csv_paths)}")
+    print(f"Archive Paths: {len(archive_paths)}")
+    print(f"Matched Paths: {len(matches)}")
+    print("\nSample CSV paths:")
+    for path in list(csv_paths)[:5]:
+        print(f"  {path}")
+    print("\nSample Archive paths:")
+    for path in list(archive_paths)[:5]:
+        print(f"  {path}")
+    print("\nSample Matches:")
+    for archive_path, csv_paths in list(matches.items())[:5]:
+        print(f"  Archive: {archive_path}")
+        print(f"  CSV: {csv_paths}")
+        print()
+    
+    return csv_paths, archive_paths, matches
+
 class EntoaConfig(BuilderConfig):
     def __init__(self, prompts_type="prosodic", **kwargs):
         super().__init__(**kwargs)
@@ -108,53 +156,7 @@ class EntoaDataset(GeneratorBasedBuilder):
             ),
         ]
 
-    def debug_path_matching(csv_path, archive_files):
-        """
-        Debug utility to compare paths between CSV and archive files
-        """
-        import csv
-        from collections import defaultdict
-        
-        # Store CSV paths
-        csv_paths = set()
-        with open(csv_path, "r") as f:
-            reader = csv.DictReader(f)
-            for row in reader:
-                # Store both the full path and filename
-                path = row.get("path") or row.get("file_path")
-                csv_paths.add(path)
-                csv_paths.add(path.split("/")[-1])
-        
-        # Compare with archive paths
-        archive_paths = set()
-        matches = defaultdict(list)
-        
-        for path, _ in archive_files:
-            archive_paths.add(path)
-            archive_paths.add(path.split("/")[-1])
-            
-            # Check for matches
-            for csv_path in csv_paths:
-                if path.endswith(csv_path) or csv_path.endswith(path):
-                    matches[path].append(csv_path)
-        
-        print("=== Debug Report ===")
-        print(f"CSV Paths: {len(csv_paths)}")
-        print(f"Archive Paths: {len(archive_paths)}")
-        print(f"Matched Paths: {len(matches)}")
-        print("\nSample CSV paths:")
-        for path in list(csv_paths)[:5]:
-            print(f"  {path}")
-        print("\nSample Archive paths:")
-        for path in list(archive_paths)[:5]:
-            print(f"  {path}")
-        print("\nSample Matches:")
-        for archive_path, csv_paths in list(matches.items())[:5]:
-            print(f"  Archive: {archive_path}")
-            print(f"  CSV: {csv_paths}")
-            print()
-        
-        return csv_paths, archive_paths, matches
+
         
 
     def _generate_examples(self, prompts_path, path_to_clips, audio_files):