Update hyvoxpopuli.py

hyvoxpopuli.py

@@ -80,19 +80,19 @@ class Hyvoxpopuli(datasets.GeneratorBasedBuilder):
         ]
 
     def _generate_examples(self, audio_archives, local_extracted_archives_paths, metadata_paths):
-    features = ["raw_text", "normalized_text", "speaker_id", "gender", "is_gold_transcript", "accent"]
-
-    for split, meta_path in metadata_paths.items():
-        with open(meta_path) as f:
-            metadata = {x["id"]: x for x in csv.DictReader(f, delimiter="\t")}
-
-        for audio_archive, local_extracted_archive_path in zip(audio_archives[split], local_extracted_archives_paths[split]):
-            for audio_filename, audio_file in audio_archive:
-                audio_id = audio_filename.split(os.sep)[-1].split(".wav")[0]
-                path = os.path.join(local_extracted_archive_path, audio_filename) if local_extracted_archive_path else audio_filename
-
-                yield audio_id, {
-                    "audio_id": audio_id,
-                    **{feature: metadata[audio_id][feature] for feature in features},
-                    "audio": {"path": path, "bytes": audio_file.read()},
-                }
+        features = ["raw_text", "normalized_text", "speaker_id", "gender", "is_gold_transcript", "accent"]
+    
+        for split, meta_path in metadata_paths.items():
+            with open(meta_path) as f:
+                metadata = {x["id"]: x for x in csv.DictReader(f, delimiter="\t")}
+    
+            for audio_archive, local_extracted_archive_path in zip(audio_archives[split], local_extracted_archives_paths[split]):
+                for audio_filename, audio_file in audio_archive:
+                    audio_id = audio_filename.split(os.sep)[-1].split(".wav")[0]
+                    path = os.path.join(local_extracted_archive_path, audio_filename) if local_extracted_archive_path else audio_filename
+    
+                    yield audio_id, {
+                        "audio_id": audio_id,
+                        **{feature: metadata[audio_id][feature] for feature in features},
+                        "audio": {"path": path, "bytes": audio_file.read()},
+                    }