Update README.md

README.md

@@ -80,16 +80,16 @@ then, from within python load the datasets library
 and load one of the `AttentiveSkin` datasets, e.g.,
 
     >>> AttentiveSkin = datasets.load_dataset("maomlab/AttentiveSkin", name = "AttentiveSkin")
-Downloading readme: 100%
- 3.54k/3.54k [00:00<00:00, 173kB/s]
-Downloading data: 100%
- 468k/468k [00:00<00:00, 2.12MB/s]
-Downloading data: 100%
- 1.41M/1.41M [00:00<00:00, 7.26MB/s]
-Generating test split: 100%
- 803/803 [00:00<00:00, 10244.39 examples/s]
-Generating train split: 100%
- 2416/2416 [00:00<00:00, 24942.38 examples/s]
+  Downloading readme:
+  4%|▍         | 4.02/100 [00:00<00:00, 6.39kkB/s]
+  Downloading data:
+  100%|██████████| 468/468 [00:00<00:00, 2.97MkB/s]
+  Downloading data:
+  100%|██████████| 1.41k/1.41k [00:00<00:00, 9.94MkB/s]
+  Generating test split:
+  100%|██████████| 803/803 [00:00<00:00, 3.75Mexamples/s]
+  Generating train split:
+  100%|██████████| 2.42k/2.42k [00:00<00:00, 7.37Mexamples/s]