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: The Rice Boat provides Chinese food in the high price range. It is located in the city centre. It is near Express by Holiday Inn. Its customer rating is 1 out of 5.

Output: name[The Rice Boat], food[Chinese], priceRange[high], customer rating[1 out of 5], area[city centre], familyFriendly[yes], near[Express by Holiday Inn]


Input: Consider Input: The coffee shop The Golden Palace is north of the city centre. It serves expensive food and has a 5 star rating.

Output: name[The Golden Palace], eatType[coffee shop], food[Japanese], priceRange[more than £30], customer rating[5 out of 5], area[riverside]


Input: Consider Input: Taste of Cambridge is a family friendly coffee shop on the riverside near the Crowne Plaza Hotel offering Indian food.


Output: name[Taste of Cambridge], eatType[coffee shop], food[Indian], area[riverside], familyFriendly[yes], near[Crowne Plaza Hotel]


