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.

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

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


Input: Consider Input: The Mill is a riverside pub that serves cheaply priced Japanese food.

Output: name[The Mill], eatType[pub], food[Japanese], priceRange[cheap], area[riverside]


Input: Consider Input: Fitzbillies is an average rated low cost French coffee shop located in the city centre.


Output: name[Fitzbillies], eatType[coffee shop], food[French], priceRange[less than £20], customer rating[average], area[city centre], familyFriendly[no]