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.

[EX Q]: Browns Cambridge provides Chinese food in the high price range. Its customer rating is 1 out of 5.
[EX A]: name[Browns Cambridge], food[Chinese], priceRange[high], customer rating[1 out of 5]

[EX Q]: Riverside restaurant The Golden Palace has a customer rating of 3 out of 5.
[EX A]: name[The Golden Palace], eatType[restaurant], customer rating[3 out of 5], area[riverside]

[EX Q]: Fitzbillies is an Italian coffee shop cheaply priced near the city Centre. It is not family-friendly and has a customer rating of 5 out of 5.
[EX A]:
name[Fitzbillies], eatType[coffee shop], food[Italian], priceRange[cheap], customer rating[5 out of 5], area[city centre], familyFriendly[no]