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[Wildwood], eatType[pub], food[Japanese], priceRange[cheap], customer rating[5 out of 5]
Example Output: Wildwood pub has an excellent customer rating for cheap Japanese food.

Example Input: name[The Punter], eatType[coffee shop], food[French], priceRange[moderate], customer rating[1 out of 5], familyFriendly[no], near[Café Sicilia]
Example Output: The Punter is a French coffee shop in Café Sicilia with a kid unfriendly atmosphere and moderate pricing. The store only has a 1 star rating.

Example Input: name[The Rice Boat], food[French], priceRange[more than £30], customer rating[5 out of 5], area[city centre], familyFriendly[no], near[Express by Holiday Inn]
Example Output:
The Rice Boat near Express by Holiday Inn in city centre offers French food at a higher price range