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.

Ex Input:
The Rice Boat is an Italian restaurant located near the Express by Holiday Inn in the center of the city. It is not children friendly, with a high price range and a customer rating of 1 out of 5.

Ex Output:
name[The Rice Boat], food[Italian], priceRange[high], customer rating[1 out of 5], area[city centre], familyFriendly[no], near[Express by Holiday Inn]


Ex Input:
Italian family friendly near Café Sicilia is The Punter which is a cheap coffee shop with average rating.

Ex Output:
name[The Punter], eatType[coffee shop], food[Italian], priceRange[cheap], customer rating[average], familyFriendly[yes], near[Café Sicilia]


Ex Input:
The Punter is located near The Portland Arms in the city centre. Their prices are less than £20 and they are family-friendly.

Ex Output:

name[The Punter], priceRange[less than £20], area[city centre], familyFriendly[yes], near[The Portland Arms]