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 Rainbow Vegetarian Café, The Rice Boat received a 3 out of 5 customer rating.  Food cost is £20-25.

Answer: name[The Rice Boat], priceRange[£20-25], customer rating[3 out of 5], near[Rainbow Vegetarian Café]


Question: The coffee shop, The Punter, is a high priced shop located near Café Sicilia offering French food.  While children-friendly, customers have only given this location a 3 out of 5 rating.

Answer: name[The Punter], eatType[coffee shop], food[French], priceRange[high], customer rating[3 out of 5], familyFriendly[yes], near[Café Sicilia]


Question: Near the Rainbow Vegetarian Café is The Rice Boat. It has a low rating but costs less than £20.

Answer:
name[The Rice Boat], priceRange[less than £20], customer rating[low], near[Rainbow Vegetarian Café]