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: there is a coffee shop near from Burger King at city centre named The Eagle made Japanese food

A: name[The Eagle], eatType[coffee shop], food[Japanese], priceRange[more than £30], customer rating[low], area[city centre], familyFriendly[no], near[Burger King]
****
Q: The Mill is a riverside pub that serves cheaply priced Japanese food.

A: name[The Mill], eatType[pub], food[Japanese], priceRange[cheap], area[riverside]
****
Q: The Golden Curry provides Indian food Its customer rating is average.

A:
name[The Golden Curry], food[Indian], customer rating[average], familyFriendly[no]
****