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:
Near The Portland Arms is a kid friendly pub that serves English food named The Dumpling Tree.

Ex Output:
name[The Dumpling Tree], eatType[pub], food[English], familyFriendly[yes], near[The Portland Arms]


Ex Input:
The Golden Palace is a Japanese coffee shop in the riverside area with a low customer rating. it costs more than £30.

Ex Output:
name[The Golden Palace], eatType[coffee shop], food[Japanese], priceRange[more than £30], customer rating[low], area[riverside]


Ex Input:
The Rice Boat is a children-friendly, French food restaurant with a perfect rating and a price range of more than £30, it is located in the city centre near the Express by Holiday Inn.

Ex Output:

name[The Rice Boat], food[French], priceRange[more than £30], customer rating[5 out of 5], area[city centre], familyFriendly[yes], near[Express by Holiday Inn]


