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

A: name[The Cambridge Blue], eatType[restaurant], food[Chinese], customer rating[high]
****
Q: There is a cheap coffee shop named Zizzi in Riverside that is family friendly and has a rating of 5 out of 5

A: name[Zizzi], eatType[coffee shop], priceRange[cheap], customer rating[5 out of 5], area[riverside], familyFriendly[yes]
****
Q: The Waterman is a high priced, child friendly place located in riverside.  It serves French food and has a rating of 3 out of 5.

A:
name[The Waterman], food[French], priceRange[high], customer rating[3 out of 5], area[riverside], familyFriendly[yes]
****