Update README.md

README.md

@@ -10,15 +10,42 @@ licenses:
 - cc0-1.0
 multilinguality:
 - monolingual
-pretty_name: Cats Vs. Dogs
+pretty_name: Cat and Dog
 size_categories:
 - 10K<n<100K
 source_datasets:
 - original
 task_categories:
 - image-classification
-task_ids:
-- single-label-image-classification
 ---
 
-A dataset from [kaggle](https://www.kaggle.com/datasets/tongpython/cat-and-dog)
+## Dataset Description
+- **Homepage:** [Cat and Dog](https://www.kaggle.com/datasets/tongpython/cat-and-dog)
+- **Repository:** N/A
+- **Paper:** N/A
+- **Leaderboard:** N/A
+- **Point of Contact:** N/A
+
+### Dataset Summary
+
+A dataset from [kaggle](https://www.kaggle.com/datasets/tongpython/cat-and-dog), removed 5 duplicated data.
+
+### Data Fields
+
+The data instances have the following fields:
+- `image`: A `PIL.Image.Image` object containing the image. Note that when accessing the image column: `dataset[0]["image"]` the image file is automatically decoded. Decoding of a large number of image files might take a significant amount of time. Thus it is important to first query the sample index before the `"image"` column, *i.e.* `dataset[0]["image"]` should **always** be preferred over `dataset["image"][0]`.
+- `labels`: an `int` classification label.
+
+### Class Label Mappings:
+
+```
+{
+  "cat": 0,
+  "dog": 1,
+}
+```
+
+### Data Splits
+|               | train | test |
+|---------------|-------|-----:|
+| # of examples |  8000 | 2000 |