TASK DEFINITION: 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.
PROBLEM: The Cambridge Blue is a restaurant that provides Chinese food Its customer rating is high.

SOLUTION: name[The Cambridge Blue], eatType[restaurant], food[Chinese], customer rating[high]

PROBLEM: Near the Burger King, The Eagle is a coffee shop style Japanese, low price, this restaurant is a good place for kids.

SOLUTION: name[The Eagle], eatType[coffee shop], food[Japanese], priceRange[£20-25], customer rating[high], area[city centre], familyFriendly[yes], near[Burger King]

PROBLEM: In the city centre area, The Golden Palace coffee shop has a customer rating of 5 out of 5. We feature a cheap price range and fast food.

SOLUTION:
name[The Golden Palace], eatType[coffee shop], food[Fast food], priceRange[cheap], customer rating[5 out of 5], area[city centre]