update readme file

README.md

@@ -30,4 +30,25 @@ Detecting app issues proactively by identifying prominent app reviews.
 
 English
 
-## How to use the dataset?
+## How to use the dataset?
+```
+from datasets import load_dataset
+
+# Load the dataset
+dataset = load_dataset("recmeapp/thumbs-up")
+
+# Convert to Pandas
+dfs = {split: dset.to_pandas() for split, dset in dataset.items()}
+
+# How many rows are there in the training split of the thumbs-up dataset?
+print(f'There are {len(dfs["train"])} rows in the training split of the thumbs-up dataset.')
+
+# What is the highest vote a review received in the training split of the thumbs-up dataset?
+print(f'The highest vote a review received is {max(dfs["train"]["votes"])}.')
+
+# How many categoris are there in the training split of the thumbs-up dataset?
+print(f'There are {len(dfs["train"]["category"].unique())} unique categories.')
+
+# How many unique app are there in the training split of the thumbs-up dataset?
+print(f'There are {len(dfs["train"]["app_name"].unique())} unique apps.')
+```