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 is an expensive, highly rated establishment serving Japanese food in the city centre near Express by Holiday Inn.  It is not child friendly.

Output: name[The Rice Boat], food[Japanese], priceRange[more than £30], customer rating[5 out of 5], area[city centre], familyFriendly[no], near[Express by Holiday Inn]


Input: Consider Input: The Browns Cambridge is a Chinese restaurant in the high price range. The customer rating is average.

Output: name[Browns Cambridge], food[Chinese], priceRange[high], customer rating[average]


Input: Consider Input: Blue Spice is a Chinese restaurant. it has cheap prices. It is locate din riverside,


Output: name[Blue Spice], food[Chinese], priceRange[cheap], area[riverside]