Metadata support

archive/nst/metadata_se_csv.zip

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:94993f25e3cc9415a465dbdb1529a300aca3dc24e0a29cdfb112d153be06f1bc
-size 19735371

babelbox_voice.py

@@ -1,20 +1,14 @@
 """ Babelbox Voice Dataset"""
 
+import os 
 import csv
-import os
-import urllib
-
+import codecs
 import datasets
-import requests
-import glob
-import gzip
 from typing import List
-from datasets.utils.py_utils import size_str
-logger = datasets.logging.get_logger(__name__)
-import torchaudio
-import torch
-from tqdm import tqdm
 from pathlib import Path
+from tqdm import tqdm
+
+logger = datasets.logging.get_logger(__name__)
 
 _CITATION = """\
 @inproceedings{babelboxvoice:2022,
@@ -92,35 +86,46 @@ class BabelboxVoice(datasets.GeneratorBasedBuilder):
     def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
             
         archive_paths = dl_manager.download(_DL_URLS)
-        
         local_extracted_archive_paths = dl_manager.extract(archive_paths) if not dl_manager.is_streaming else {}
+                     
+        metadata_path = dl_manager.download(_METADATA_URL)
+        local_extracted_metadata_path = dl_manager.extract(metadata_path) if not dl_manager.is_streaming else None
         
-        #meta_url = self.config.meta_url
-        
-        #meta_path = dl_manager.download_and_extract(_METADATA_URL)
-        
-        meta_archive = dl_manager.iter_archive(_METADATA_URL)
-        
-        print(meta_archive)
-        
+        metadata_archive = dl_manager.iter_archive(metadata_path)
         metadata = {}
-        for path, file in meta_archive:
-            print(type(file))
-            reader = csv.DictReader(file)
+        for path, file in metadata_archive:
+            reader = csv.DictReader(codecs.iterdecode(file, 'utf-8'))
             for row in tqdm(reader, desc="Reading metadata..."):
-                filename = row['filename_channel_1']
-                sentence = row['text']
-                metadata[filename] = sentence
+                        filename = row['filename_channel_1']
+                        sentence = row['text']
+                        metadata[filename] = sentence
+                        
             
         """
         metadata = {}
-        with open(meta_path, encoding="utf-8") as f:
-            reader = csv.DictReader(f)
-            for row in tqdm(reader, desc="Reading metadata..."):
-                filename = row['filename_channel_1']
-                sentence = row['text']
-                metadata[filename] = sentence
-        """
+        if dl_manager.is_streaming:
+            meta_archive = dl_manager.iter_archive(_METADATA_URL)
+            for path, file in meta_archive:
+                reader = csv.DictReader(codecs.iterdecode(file, 'utf-8'))
+                for row in tqdm(reader, desc="Reading metadata..."):
+                    filename = row['filename_channel_1']
+                    sentence = row['text']
+                    metadata[filename] = sentence
+        else:
+            metadata_path = dl_manager.download(_METADATA_URL)
+            local_extracted_metadata_path = dl_manager.extract(metadata_path)
+            metadata_path = Path(local_extracted_metadata_path)
+            for filename in metadata_path.glob("*.csv"):
+                with open(filename) as csv_file:
+                    reader = csv.DictReader(csv_file)
+                    for row in tqdm(reader, desc="Reading metadata..."):
+                        filename = row['filename_channel_1']
+                        sentence = row['text']
+                        metadata[filename] = sentence
+         
+         """
+            
+            
         
         return [
             datasets.SplitGenerator(name=datasets.Split.TRAIN,