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: There is a high priced, highly rated, kid friendly coffee shop called Blue Spice. It is in riverside near Avalon.

A: name[Blue Spice], eatType[coffee shop], priceRange[more than £30], customer rating[high], area[riverside], familyFriendly[yes], near[Avalon]
****
Q: The Waterman restaurant is not kid friendly, has a customer rating of 1 out of 5 and a moderate price range.  Serves Chinese food in the riverside area.

A: name[The Waterman], food[Chinese], priceRange[moderate], customer rating[1 out of 5], area[riverside], familyFriendly[no]
****
Q: Welcome to The Rice Boat, where our food is English and our customer rating is average. Our price range is cheap, we're family-friendly, and we're located in the city centre by the Express by Holiday Inn

A:
name[The Rice Boat], food[English], priceRange[cheap], customer rating[average], area[city centre], familyFriendly[yes], near[Express by Holiday Inn]
****