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.

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

A: name[The Waterman], food[French], priceRange[cheap], customer rating[5 out of 5], area[riverside], familyFriendly[yes]
****
Q: Situated in the riverside area near to Café Rouge, The Golden Curry is  family friendly and provides English food. It has a low customer rating.

A: name[The Golden Curry], food[English], customer rating[low], area[riverside], familyFriendly[yes], near[Café Rouge]
****
Q: Fitzbillies is a riverside fast food restaurant and coffee shop in Cambridge. Customers rate it as average, it is higher priced and does not welcome children.

A:
name[Fitzbillies], eatType[coffee shop], food[Fast food], priceRange[high], customer rating[average], area[riverside], familyFriendly[no]
****