In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.

Input: Consider Input: name[The Waterman], food[English], priceRange[£20-25], customer rating[high], area[riverside], familyFriendly[no]

Output: The Waterman offers English food in £20-25. It is located at riverside. Although it is not kids friendly, yet it is rated high, by the customers.


Input: Consider Input: name[Fitzbillies], eatType[coffee shop], food[Fast food], priceRange[less than £20], customer rating[low], area[riverside], familyFriendly[yes]

Output: A coffee shop  located near the Riverside area  Fitzbillies is in the low price range and customers have rated it poorly. Its name is Fitzbillies.


Input: Consider Input: name[Fitzbillies], eatType[coffee shop], food[French], priceRange[less than £20], customer rating[average], area[riverside], familyFriendly[yes]


Output: Fitzbillies is a French coffee shop in riverside that has average reviews. It is kid-friendly and is in the £20 price range.