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: In the city centre located near to Yippee Noodle Bar is a Chinese restaurant called Alimentum. Despite being a cheap place to eat it's customers recommend it and gave it a rating of 5 out of 5.

Answer: name[Alimentum], food[Chinese], priceRange[cheap], customer rating[5 out of 5], area[city centre], near[Yippee Noodle Bar]


Question: The Punter is a family restaurant with low prices and delicious sushi, located near the Café Sicilia

Answer: name[The Punter], eatType[coffee shop], food[Japanese], priceRange[moderate], customer rating[1 out of 5], familyFriendly[yes], near[Café Sicilia]


Question: The Travellers Rest Beefeater is a family friendly restaurant where you can eat for cheap.

Answer:
name[Travellers Rest Beefeater], eatType[restaurant], priceRange[cheap], familyFriendly[yes]