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: A restaurant with a price range greater than  £30 that serves English food is The Dumpling Tree.

Output: name[The Dumpling Tree], eatType[restaurant], food[English], priceRange[more than £30]


Input: Consider Input: Green Man by a riverside near All Bar One is child Friendly serving Japanese food with a high price Range.

Output: name[Green Man], food[Japanese], priceRange[high], area[riverside], familyFriendly[yes], near[All Bar One]


Input: Consider Input: The Golden Curry, an English restaurant in a moderate price range that is not kids friendly is situated near The Bakers


Output: name[The Golden Curry], food[English], priceRange[moderate], familyFriendly[no], near[The Bakers]