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.

Example Input: name[Strada], food[Chinese], priceRange[more than £30], customer rating[high], familyFriendly[no], near[Rainbow Vegetarian Café]
Example Output: Despite its high customer rating, Strada located near Rainbow Vegetarian Café, offers Chinese food at price range of more than £30. It is not child friendly

Example Input: name[Green Man], food[English], priceRange[high], area[riverside], familyFriendly[yes], near[All Bar One]
Example Output: Green Man is a children friendly restaurant that serves expensive English food. Its located in riverside near All Bar One.

Example Input: name[The Punter], eatType[coffee shop], food[Indian], priceRange[moderate], customer rating[1 out of 5], familyFriendly[no], near[Café Sicilia]
Example Output:
With a customer rating of 1 out of 5, The Punter coffee shop serves moderately priced Indian food. It is located near Café Sicilia and is not kid friendly.