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: Children friendly Japanese food Strada which has low customer rating and price range more than £30 is served near Rainbow Vegetarian Café.

Answer: name[Strada], food[Japanese], priceRange[more than £30], customer rating[low], familyFriendly[yes], near[Rainbow Vegetarian Café]


Question: Fitzbillies coffee shop in the city centre offers highly rated Italian food in the more than £30 range. It is centrally located and is child friendly.

Answer: name[Fitzbillies], eatType[coffee shop], food[Italian], priceRange[more than £30], customer rating[high], area[city centre], familyFriendly[yes]


Question: If you're looking for an upscale coffee shop, look no further than The Dumpling Tree, a child-friendly, riverside coffee shop near Café Sicilia.

Answer:
name[The Dumpling Tree], eatType[coffee shop], priceRange[high], area[riverside], familyFriendly[yes], near[Café Sicilia]