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 Golden Curry, in the center of the city, is an Italian restaurant. Close to Café Rouge, it does have a low customer rating.

Ex Output:
name[The Golden Curry], food[Italian], customer rating[low], area[city centre], familyFriendly[yes], near[Café Rouge]


Ex Input:
Midsummer House serves a French food, and this French restaurant is locate  near Café Rouge. Midsummer House, but it has average rating.

Ex Output:
name[Midsummer House], food[French], customer rating[average], near[Café Rouge]


Ex Input:
Zizzi is a coffee shop in the city centre with average customer ratings and a price range of less than £20.  It is not a family-friendly place.

Ex Output:

name[Zizzi], eatType[coffee shop], priceRange[less than £20], customer rating[average], area[city centre], familyFriendly[no]