Update README.md

README.md

@@ -5,7 +5,7 @@ licenses:
 - odbl-1.0
 pretty_name: Human Action Recognition
 size_categories:
-- 1K<n<10K
+- 10K<n<100K
 source_datasets:
 - original
 task_categories:
@@ -70,4 +70,35 @@ The data instances have the following fields:
 ### Data Splits
 |               | train  | test |
 |---------------|--------|-----:|
-| # of examples |  12600 | 5400 |
+| # of examples |  12600 | 5400 |
+
+### Data Size
+
+- download: 311.96 MiB
+- generated: 312.59 MiB
+- total: 624.55 MiB
+
+```pycon
+>>> from datasets import load_dataset
+
+>>> ds = load_dataset("Bingsu/Human_Action_Recognition")
+>>> ds
+DatasetDict({
+    test: Dataset({
+        features: ['image', 'labels'],
+        num_rows: 5400
+    })
+    train: Dataset({
+        features: ['image', 'labels'],
+        num_rows: 12600
+    })
+})
+
+>>> ds["train"].features
+{'image': Image(decode=True, id=None),
+ 'labels': ClassLabel(num_classes=15, names=['calling', 'clapping', 'cycling', 'dancing', 'drinking', 'eating', 'fighting', 'hugging', 'laughing', 'listening_to_music', 'running', 'sitting', 'sleeping', 'texting', 'using_laptop'], id=None)}
+ 
+>>> ds["train"][0]
+{'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=240x160>,
+ 'labels': 11}
+```