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.
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Question: Fitzbillies is a cheap Indian food spot, it's a coffee shop style place near Riverside with average ratings and it's family friendly.

Answer: name[Fitzbillies], eatType[coffee shop], food[Indian], priceRange[cheap], customer rating[average], area[riverside], familyFriendly[no]


Question: Fitzbillies is a coffee shop that offers Fast Food with a moderate price and a customer rating 1 out of 5. It is located in the riverside and there is no kids area.

Answer: name[Fitzbillies], eatType[coffee shop], food[Fast food], priceRange[moderate], customer rating[1 out of 5], area[riverside], familyFriendly[no]


Question: The Cambridge Blue is a pub located near Café Brazil. It offers Chinese food in the range of £20-£25.

Answer:
name[The Cambridge Blue], eatType[pub], food[Chinese], priceRange[£20-25], near[Café Brazil]