add tqdm for metadata

libriheavy.py

@@ -3,6 +3,7 @@ import gzip
 
 import datasets
 import numpy as np
+from tqdm import tqdm
 
 logger = datasets.logging.get_logger(__name__)
 
@@ -77,8 +78,7 @@ class Libriheavy(datasets.GeneratorBasedBuilder):
             speaker_list = json.load(f)
         # now we load the individual speaker metadata
         speaker_metadata = {}
-        for speaker_id, metadata_path in speaker_list.items():
-            print(f"Downloading metadata for speaker {speaker_id}")
+        for speaker_id, metadata_path in tqdm(speaker_list.items()):
             metadata_path = f"{PATH}/{speaker_id}/{metadata_path}"
             metadata_path = dl_manager.download_and_extract(metadata_path)
             with open(metadata_path, "r") as f:
@@ -92,8 +92,8 @@ class Libriheavy(datasets.GeneratorBasedBuilder):
                 chunk_dict = {
                     "speaker_id": speaker_id,
                     "id": f"{speaker_id}_{chunk_id}",
-                    "audio": dl_manager.download_and_extract(f"{PATH}/{speaker_id}/{chunk['npz'].replace('.gz', '')}"),
-                    "text": dl_manager.download_and_extract(f"{PATH}/{speaker_id}/{chunk['json']}"),
+                    "audio": dl_manager.download(f"{PATH}/{speaker_id}/{chunk['npz'].replace('.gz', '')}"),
+                    "text": dl_manager.download(f"{PATH}/{speaker_id}/{chunk['json']}"),
                 }
                 speaker_chunks.append(chunk_dict)
                 if int(chunk_id) % 2 == 0: