Datasets:

maomlab
/

AttentiveSkin

Tasks:

Tabular Classification

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Dataset card Data Studio Files Files and versions

haneulpark commited on Mar 5, 2024

Commit

d4bf022

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1 Parent(s): 2921649

Update README.md

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README.md +5 -5

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@@ -80,11 +80,11 @@ 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%|██████████| 4.02/4.02 [00:00<00:00, 6.14kkB/s]
-   Downloading data: 100%|██████████| 468/468 [00:00<00:00, 3.60MkB/s]
-   Downloading data: 100%|██████████| 1.41k/1.41k [00:00<00:00, 11.9MkB/s]
-   Generating test split: 100%|██████████| 803/803 [00:00<00:00, 1.67Mexamples/s]
-   Generating train split: 100%|██████████| 2.42k/2.42k [00:00<00:00, 13.4Mexamples/s]
 and inspecting the loaded dataset

 and load one of the `AttentiveSkin` datasets, e.g.,
     >>> AttentiveSkin = datasets.load_dataset("maomlab/AttentiveSkin", name = "AttentiveSkin")
+    Downloading readme: 100%|██████████| 4.02/4.02 [00:00<00:00, 6.14kkB/s]
+    Downloading data: 100%|██████████| 468/468 [00:00<00:00, 3.60MkB/s]
+    Downloading data: 100%|██████████| 1.41k/1.41k [00:00<00:00, 11.9MkB/s]
+    Generating test split: 100%|██████████| 803/803 [00:00<00:00, 1.67Mexamples/s]
+    Generating train split: 100%|██████████| 2.42k/2.42k [00:00<00:00, 13.4Mexamples/s]
 and inspecting the loaded dataset