Description This dataset contains restaurant reviews from TripAdvisor for five European cities, capturing detailed information on users, restaurants (items), and reviews. It offers a comprehensive view of user experiences, opinions, and restaurant attributes. Data Structure User Information userId: Unique identifier for each user (hashed). name: Display name or username. location: User's location (city and country). Restaurant Information (Items) itemId: Unique identifier for each restaurant. name: Restaurant name. city: City where the restaurant is located. priceInterval: Price range. url: Link to the restaurant’s TripAdvisor review page. rating: Average rating score for the restaurant. type: List of cuisine types (e.g., [Spanish, Mediterranean]). Review Information reviewId: Unique identifier for each review. userId: Corresponding user who wrote the review. itemId: Restaurant associated with the review. title: Title of the review summarizing the user’s impression. text: Full text of the review describing the user’s experience. date: Date when the review was posted. rating: Numerical score (typically from 0 to 50, where 50 represents the highest satisfaction). language: Language of the review. images: List of URLs pointing to images uploaded by the user (if available). url: Link to the full review on TripAdvisor. Code example import pandas as pd city = "Barcelona" # Load restaurants items = pd.read_pickle(f"{city}/items.pkl") # Load users users = pd.read_pickle(f"{city}/users.pkl") # Load reviews reviews = pd.read_pickle(f"{city}/reviews.pkl")