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.

Q: Cotto, offers Chinese food, and has customer rating of 1 out of 5. It is kids friendly and is located near Ranch.

A: name[Cotto], food[Chinese], customer rating[1 out of 5], familyFriendly[yes], near[Ranch]
****
Q: Yes there's a cheap family friendly restaurant near The Bakers, it's called The Golden Curry and serves French food.

A: name[The Golden Curry], food[French], priceRange[cheap], familyFriendly[yes], near[The Bakers]
****
Q: The Punter is a coffee shop serving inexpensive Indian food near Café Sicilia. It is not family friendly and has an average customer rating.

A:
name[The Punter], eatType[coffee shop], food[Indian], priceRange[cheap], customer rating[average], familyFriendly[no], near[Café Sicilia]
****