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.

[EX Q]: Near All Bar One is a moderately priced Italian place, with a customer rating of 3 out of 5, it's called Midsummer House.
[EX A]: name[Midsummer House], food[Italian], priceRange[moderate], customer rating[3 out of 5], near[All Bar One]

[EX Q]: Enjoy a fondue style meal at Strada where you will get value for money selection of cheese and wine.  Situated in the city center. close to Rainbow Vegetarian Café.
[EX A]: name[Strada], food[French], priceRange[less than £20], customer rating[low], familyFriendly[no], near[Rainbow Vegetarian Café]

[EX Q]: Strada provides Chinese food in the cheap price range. It is near Rainbow Vegetarian Café. Its customer rating is average.
[EX A]:
name[Strada], food[Chinese], priceRange[cheap], customer rating[average], familyFriendly[yes], near[Rainbow Vegetarian Café]