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: There is a family-friendly  coffee shop Aromi in the city centre that provides Italian food but has low customer rating.

Answer: name[Aromi], eatType[coffee shop], food[Italian], customer rating[low], area[city centre], familyFriendly[yes]


Question: The Bibimbap House, near Clare Hall in the city centre, is a moderately priced English food establishment.

Answer: name[Bibimbap House], food[English], priceRange[moderate], area[city centre], near[Clare Hall]


Question: Strada is a child friendly Indian near to Rainbow Vegetarian Café. It is in the high price range but is suitable for children.

Answer:
name[Strada], food[Indian], priceRange[high], customer rating[average], familyFriendly[yes], near[Rainbow Vegetarian Café]