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 Input:
A restaurant called Browns Cambridge sells average Chinese food at an moderate price.

Ex Output:
name[Browns Cambridge], food[Chinese], priceRange[moderate], customer rating[3 out of 5]


Ex Input:
Browns Cambridge is an Indian restaurant located by the riverside near The Sorrento And It is not Children Friendly

Ex Output:
name[Browns Cambridge], food[Indian], area[riverside], familyFriendly[yes], near[The Sorrento]


Ex Input:
The Phoenix has an excellent customer rating for its Chinese food in a central location.

Ex Output:

name[The Phoenix], food[Chinese], customer rating[5 out of 5], area[city centre]