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:
In the city centre near Café Rouge you will find a low rated French restaurant named The Golden Curry. It is not family-friendly.

Ex Output:
name[The Golden Curry], food[French], customer rating[low], area[city centre], familyFriendly[no], near[Café Rouge]


Ex Input:
In the centre of the city, there is a restaurant called The Waterman.  It is a highly recommended, yet inexpensive, restaurant for families.

Ex Output:
name[The Waterman], food[French], priceRange[cheap], customer rating[5 out of 5], area[riverside], familyFriendly[yes]


Ex Input:
The Waterman cooks up moderate priced English cuisine on the riverside. Its kids friendly but has a 1 out of 5 average customer rating.

Ex Output:

name[The Waterman], food[English], priceRange[moderate], customer rating[1 out of 5], area[riverside], familyFriendly[yes]