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 where you can eat Chinese. Low customer rating. Riverside area near Café Rouge. Family Friendly.

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


Ex Input:
Blue Spice is an expensive Japanese restaurant in riverside providing at a starting price of £30.

Ex Output:
name[Blue Spice], food[Japanese], priceRange[more than £30], area[riverside]


Ex Input:
For cheap Italian food near the riverside is the family friendly pub called The Olive Grove

Ex Output:

name[The Olive Grove], eatType[pub], food[Italian], priceRange[cheap], area[riverside], familyFriendly[yes]