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

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


Question: The Mill is a  pub in the city centre that serves Japanese Food at a price of lower than 20.

Answer: name[The Mill], eatType[pub], food[Japanese], priceRange[less than £20], area[city centre]


Question: A low customer rated fast food and coffee shop, Browns Cambridge, is family friendly and is near Crown Plaza Hotel in riverside

Answer:
name[Browns Cambridge], eatType[coffee shop], food[Fast food], customer rating[low], area[riverside], familyFriendly[yes], near[Crowne Plaza Hotel]