In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer: 
 name: The Eagle,... 
 eatType: restaurant, coffee shop,... 
 food: French, Italian,... 
 priceRange: cheap, expensive,... 
 customerRating: 1 of 5 (low), 4 of 5 (high) 
 area: riverside, city center, ... 
 familyFriendly: Yes / No 
 near: Panda Express,...
 The output table may contain all or only some of the attributes but must not contain unlisted attributes. For the output to be considered correct, it also must parse all of the attributes existant in the input sentence; in other words, incomplete parsing would be considered incorrect.
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Question: Near Café Adriatic in the riverside area is home to Travellers Rest Beefeater. They boost a high price range and a customer rating of 3 out of 5.

Answer: name[Travellers Rest Beefeater], priceRange[high], customer rating[3 out of 5], area[riverside], near[Café Adriatic]


Question: Browns Cambridge is a coffee shop that also serves Italian food.  This is not a family-friendly establishment.  Browns Cambridge is located north of City centre, on the river near Crowne Plaza Hotel.

Answer: name[Browns Cambridge], eatType[coffee shop], food[Italian], customer rating[low], area[riverside], familyFriendly[no], near[Crowne Plaza Hotel]


Question: The Waterman is a kid friendly restaurant with high customer ratings. It serves fast food and its dishes range between £20 and £25. It is located in the city centre.

Answer:
name[The Waterman], food[Fast food], priceRange[£20-25], customer rating[high], area[city centre], familyFriendly[yes]