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.

The Golden Palace is a Japanese coffee shop in the riverside area with a low customer rating. it costs more than £30.
name[The Golden Palace], eatType[coffee shop], food[Japanese], priceRange[more than £30], customer rating[low], area[riverside]

In the city centre there is a highly rated coffee shop serving Italian food priced between £20-£25 called The Golden Palace.
name[The Golden Palace], eatType[coffee shop], food[Italian], priceRange[£20-25], customer rating[high], area[city centre]

Near the Crowne Plaza Hotel in riverside, you will find a 5 out of 5 rated family friendly Café called Browns Cambridge that serves Indian food.

name[Browns Cambridge], eatType[coffee shop], food[Indian], customer rating[5 out of 5], area[riverside], familyFriendly[yes], near[Crowne Plaza Hotel]