Update voxceleb.py

voxceleb.py

@@ -1,6 +1,6 @@
 # coding=utf-8
 
-"""VoxCeleb sound event classification dataset."""
+"""VoxCeleb dataset."""
 
 
 import os
@@ -65,15 +65,6 @@ class VoxCeleb(datasets.GeneratorBasedBuilder):
     def manual_download_instructions(self):
         return (
             "To use VoxCeleb you have to download it manually. "
-            "Please download the dataset from https://www.robots.ox.ac.uk/~vgg/data/voxceleb/vox1.html \n"
-            "Then extract all files in one folder using the following command: \n"
-            "```bash\n"
-            "cat vox1_dev_wav* > vox1_dev_wav.zip\n"
-            "unzip vox1_dev_wav.zip -d vox1/dev\n"
-            "unzip vox1_test_wav.zip -d vox1/test\n"
-            "```\n"
-            "and load the dataset with: "
-            "`datasets.load_dataset('confit/voxceleb', 'verification', data_dir='path/to/folder/dev/and/test')`\n"
             "The tree structure of the downloaded data looks like: \n"
             f"{DATA_DIR_STRUCTURE}"
         )
@@ -84,9 +75,8 @@ class VoxCeleb(datasets.GeneratorBasedBuilder):
 
         if not os.path.exists(data_dir):
             raise FileNotFoundError(
-                f"{data_dir} does not exist. Make sure you insert a manual dir via "
-                f"`datasets.load_dataset('confit/voxceleb', 'verification', data_dir=...)` that includes files unzipped from all the zip files. "
-                f"Manual download instructions: {self.manual_download_instructions}"
+                f"{data_dir} does not exist. "
+                f"Manual download instructions: \n{self.manual_download_instructions}"
             )
 
         dev_archive_path = os.path.join(data_dir, 'dev', 'wav')