Update NURC-SP_ENTOA_TTS.py

NURC-SP_ENTOA_TTS.py

@@ -39,21 +39,21 @@ class NurcSPDataset(GeneratorBasedBuilder):
         return DatasetInfo(
             features=datasets.Features(
                 {
-                    "audio_name": datasets.Value("string"),
-                    "file_path": datasets.Value("string"),
-                    "text": datasets.Value("string"),
+                    "path": datasets.Value("string"),
+                    "name": datasets.Value("string"),
+                    "speaker": datasets.Value("string"),
                     "start_time": datasets.Value("string"),
                     "end_time": datasets.Value("string"),
+                    "normalized_text": datasets.Value("string"),
+                    "text": datasets.Value("string"),
                     "duration": datasets.Value("string"),
-                    "quality": datasets.Value("string"),
-                    "speech_genre": datasets.Value("string"),
-                    "speech_style": datasets.Value("string"),
-                    "variety": datasets.Value("string"),
-                    "accent": datasets.Value("string"),
-                    "sex": datasets.Value("string"),
+                    "type": datasets.Value("string"),
+                    "year": datasets.Value("string"),
+                    "gender": datasets.Value("string"),
                     "age_range": datasets.Value("string"),
-                    "num_speakers": datasets.Value("string"),
-                    "speaker_id": datasets.Value("string"),
+                    "total_duration": datasets.Value("string"),
+                    "quality": datasets.Value("string"),
+                    "theme": datasets.Value("string"),
                     "audio": datasets.Audio(sampling_rate=16_000),
                 }
             )
@@ -113,21 +113,21 @@ class NurcSPDataset(GeneratorBasedBuilder):
             for row in csv_reader:
                 file_path = Path(row['file_path']).as_posix()
                 examples[file_path] = {
-                    "audio_name": row['audio_name'],
-                    "file_path": file_path,
-                    "text": row['text'],
+                    "path": row['path'],
+                    "name": row['name'],
+                    "speaker": row['speaker'],
                     "start_time": row['start_time'],
                     "end_time": row['end_time'],
+                    "normalized_text": row['normalized_text'],
+                    "text": row['text'],
                     "duration": row['duration'],
-                    "quality": row['quality'],
-                    "speech_genre": row['speech_genre'],
-                    "speech_style": row['speech_style'],
-                    "variety": row['variety'],
-                    "accent": row['accent'],
-                    "sex": row['sex'],
+                    "type": row['type'],
+                    "year": row['year'],
+                    "gender": row['gender'],
                     "age_range": row['age_range'],
-                    "num_speakers": row['num_speakers'],
-                    "speaker_id": row['speaker_id'],
+                    "total_duration": row['total_duration'],
+                    "quality": row['quality'],
+                    "theme": row['theme'],
                 }
                 csv_paths.append(file_path)