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: Browns Cambridge provides cheap Chinese food with an average customer rating.

Answer: name[Browns Cambridge], food[Chinese], priceRange[cheap], customer rating[average]


Question: The Golden Palace is a coffee Shop. It is located in riverside area. High price range and have 3 out of 5 costumer rating.

Answer: name[The Golden Palace], eatType[coffee shop], food[French], priceRange[high], customer rating[3 out of 5], area[riverside]


Question: The Cambridge Blue is a restaurant serving Japanese food. It has an average customer rating.

Answer:
name[The Cambridge Blue], eatType[restaurant], food[Japanese], customer rating[average]


