Update NURC-SP_ENTOA_TTS.py

NURC-SP_ENTOA_TTS.py

@@ -85,6 +85,10 @@ class EntoaDataset(GeneratorBasedBuilder):
         archive = dl_manager.download(_ARCHIVES[self.config.name])
         prompts_path = dl_manager.download(prompts_urls)
 
+        # Debug prints for downloaded paths
+        print(f"Downloaded prompts: {prompts_path}")
+        print(f"Downloaded archive: {archive}")
+
         return [
             SplitGenerator(
                 name=Split.VALIDATION,
@@ -106,9 +110,15 @@ class EntoaDataset(GeneratorBasedBuilder):
 
     def _generate_examples(self, prompts_path, path_to_clips, audio_files):
         examples = {}
+
+        # Debug print for prompts path
+        print(f"Reading prompts from: {prompts_path}")
         with open(prompts_path, "r") as f:
             csv_reader = csv.DictReader(f)
             for row in csv_reader:
+                # Debug print for row processing
+                print(f"Processing row: {row}")
+
                 if self.config.name == "prosodic":
                     examples[row['path']] = {
                         "path": row['path'],
@@ -151,9 +161,16 @@ class EntoaDataset(GeneratorBasedBuilder):
         for path, f in audio_files:
             if path.startswith(path_to_clips):
                 inside_clips_dir = True
+
+                # Debug print for matching audio file
+                print(f"Found matching audio file: {path}")
+
                 if path in examples:
                     audio = {"path": path, "bytes": f.read()}
                     yield id_, {**examples[path], "audio": audio}
                     id_ += 1
             elif inside_clips_dir:
                 break
+
+        # Debug print for completion
+        print(f"Completed generating examples. Total examples: {id_}")