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 Chinese restaurant is near Express by Holiday Inn in the city centre.  It is children friendly with a high price range.  It has an average customer rating.

Ex Output:
name[The Rice Boat], food[Chinese], priceRange[high], customer rating[average], area[city centre], familyFriendly[yes], near[Express by Holiday Inn]


Ex Input:
Alimentum is an Indian restaurant that is moderately priced. It is kid friendly and in the city centre.

Ex Output:
name[Alimentum], food[Indian], priceRange[moderate], area[city centre], familyFriendly[yes]


Ex Input:
There's an expensive family friendly sushi restaurant called Strada just north of the Rainbow Vegetarian Café.

Ex Output:

name[Strada], food[Japanese], priceRange[£20-25], customer rating[3 out of 5], familyFriendly[yes], near[Rainbow Vegetarian Café]