updated the provided code

README.md

@@ -20,7 +20,7 @@ size_categories:
 
 ### Dataset Summary
 
-This dataset contains more than 2.1 million negative user reviews (reviews with 1 or 2 ratings) from 9869 apps across 48 categories from Google Play. Moreover, the number of votes that each review received within a month is also recorded. Those reviews having more votes can be cosidered as improtant reviews.
+This dataset contains more than 2.1 million negative user reviews (reviews with 1 or 2 ratings) from 9775 apps across 48 categories from Google Play. Moreover, the number of votes that each review received within a month is also recorded. Those reviews having more votes can be cosidered as improtant reviews.
 
 ### Supported Tasks and Leaderboards
 
@@ -33,22 +33,24 @@ English
 ## How to use the dataset?
 ```
 from datasets import load_dataset
+import pandas as pd
 
 # Load the dataset
 dataset = load_dataset("recmeapp/thumbs-up")
 
 # Convert to Pandas
 dfs = {split: dset.to_pandas() for split, dset in dataset.items()}
+dataset_df = pd.concat([dfs["train"], dfs["validation"], dfs["test"]])
 
-# 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.')
+# How many rows are there in the thumbs-up dataset?
+print(f'There are {len(dataset_df)} rows in 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 unique apps are there in the thumbs-up dataset?
+print(f'There are {len(dataset_df["app_name"].unique())} unique apps.')
 
-# 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 categoris are there in the thumbs-up dataset?
+print(f'There are {len(dataset_df["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.')
+# What is the highest vote a review received in the thumbs-up dataset?
+print(f'The highest vote a review received is {max(dataset_df["votes"])}.')
 ```