Add train test split info

README.md

@@ -68,14 +68,22 @@ English
 ## Dataset Structure
 ```json
 {
-  "image": <PIL image of the food item>
-  "label": class
+  "image": "Image(decode=True, id=None)",
+  "target": "ClassLabel(names=['biryani', 'cholebhature', 'dabeli', 'dal', 'dhokla', 'dosa', 'jalebi', 'kathiroll', 'kofta', 'naan', 'pakora', 'paneer', 'panipuri', 'pavbhaji', 'vadapav'], id=None)"
 }
 ```
-where the categories are one of `biryani, cholebhature, jalebi, kofta, naan, paneer, panipuri, pavbhaji, dabeli, dhokla, dosa, kathiroll, pakora, vadapav`
+### Dataset Splits
+
+This dataset is split into a train and test split. The split sizes are as follows:
+
+| Split name   | Num samples         |
+| ------------ | ------------------- |
+| train        | 3809 |
+| test        | 961 |
+
 ### Data Instances
 
-Each instance is a picture of the Indian food item,along with the category it belongs to.
+Each instance is a picture of the Indian food item, along with the category it belongs to.
 
 #### Initial Data Collection and Normalization