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: Browns Cambridge serves Chinese at a moderate price, but has an average customer rating of 1 out of 5.

A: name[Browns Cambridge], food[Chinese], priceRange[moderate], customer rating[1 out of 5]
****
Q: The Rice Boat is adults only, upscale Italian dining, near the Express by Holiday Inn, in Riverside, that has a customer rating of 1 out of 5.

A: name[The Rice Boat], food[Italian], priceRange[high], customer rating[1 out of 5], area[riverside], familyFriendly[no], near[Express by Holiday Inn]
****
Q: No, Italian restaurant The Rice Boat in the city centre on side Express by Holiday Inn with low rank and price less than £20

A:
name[The Rice Boat], food[Italian], priceRange[less than £20], customer rating[low], area[city centre], familyFriendly[yes], near[Express by Holiday Inn]
****