Update README.md

README.md

@@ -1,35 +1,71 @@
----
-license: mit
-dataset_info:
-  features:
-  - name: image
-    dtype:
-      array3_d:
-        shape:
-        - 128
-        - 128
-        - 3
-        dtype: uint8
-  - name: label
-    dtype:
-      class_label:
-        names:
-          '0': cats
-          '1': dogs
-  splits:
-  - name: train
-    num_bytes: 921696000
-    num_examples: 8000
-  - name: test
-    num_bytes: 230424000
-    num_examples: 2000
-  download_size: 487392383
-  dataset_size: 1152120000
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: test
-    path: data/test-*
----
+---
+license: mit
+dataset_info:
+  features:
+  - name: image
+    dtype:
+      array3_d:
+        shape:
+        - 128
+        - 128
+        - 3
+        dtype: uint8
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': cats
+          '1': dogs
+  splits:
+  - name: train
+    num_bytes: 921696000
+    num_examples: 8000
+  - name: test
+    num_bytes: 230424000
+    num_examples: 2000
+  download_size: 487392383
+  dataset_size: 1152120000
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+  - split: test
+    path: data/test-*
+---
+---
+dataset_name: cats_dogs_dataset
+dataset_summary: A dataset of resized (128x128) RGB images of cats and dogs for image classification tasks.
+dataset_description: |
+  This dataset consists of images of cats and dogs organized into training and testing sets. 
+  The images have been resized to 128x128 pixels and converted to NumPy arrays for ease of use in machine learning models.
+  The dataset includes labeled categories corresponding to each animal type.
+  
+  - **Train Set:** Contains images for training the model.
+  - **Test Set:** Contains images for model evaluation.
+
+  Each image is stored as a NumPy array with shape (128, 128, 3) and labels are provided as class indices.
+
+dataset_features:
+  - image: An `Array3D` of shape `(128, 128, 3)` representing an RGB image.
+  - label: A `ClassLabel` corresponding to the category of the image.
+
+dataset_splits:
+  - train: Contains images used for training.
+  - test: Contains images used for testing.
+
+dataset_usage: |
+  To load this dataset using the `datasets` library:
+  
+  ```python
+  from datasets import load_dataset
+
+  dataset = load_dataset("cats_dogs_dataset")
+
+  # Access the train split
+  train_dataset = dataset["train"]
+
+  # Access an image and label
+  sample = train_dataset[0]
+  image = sample["image"]
+  label = sample["label"]