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:
Near All Bar One, Midsummer House serves Indian food for high prices and is rated one out of five stars.

Ex Output:
name[Midsummer House], food[Indian], priceRange[high], customer rating[1 out of 5], near[All Bar One]


Ex Input:
The Waterman is a high priced, fast-food restaurant in the riverside area.  Customer reviews of the restaurant give it a 1 out of 5.  This is not a  children friendly location.

Ex Output:
name[The Waterman], food[Fast food], priceRange[high], customer rating[1 out of 5], area[riverside], familyFriendly[no]


Ex Input:
Browns Cambridge is a coffee shop that serves Indian food. Located in city centre near the Crowne Plaza Hotel, this eatery gets a high rating from its customers of 5 out of 5 stars. Please remember this restaurant is not family friendly.

Ex Output:

name[Browns Cambridge], eatType[coffee shop], food[Indian], customer rating[5 out of 5], area[city centre], familyFriendly[no], near[Crowne Plaza Hotel]