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.

Q: In the city centre, near the Express by Holiday Inn, is a highly rated fast food restaurant called The Rice Boat. It is not children friendly and is in the higher price bracket of more than £30.

A: name[The Rice Boat], food[Fast food], priceRange[more than £30], customer rating[high], area[city centre], familyFriendly[no], near[Express by Holiday Inn]
****
Q: 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.

A: name[Browns Cambridge], eatType[coffee shop], food[Italian], customer rating[low], area[riverside], familyFriendly[no], near[Crowne Plaza Hotel]
****
Q: There is The Waterman offering Chinese food and it is located at the riverside. It has an average customer rating and a typical meal is in the high price range. This is no children friendly.

A:
name[The Waterman], food[Chinese], priceRange[high], customer rating[average], area[riverside], familyFriendly[no]
****