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: There is a family friendly English restaurant within the  £20 price range in riverside near All Bar One by the name of Green Man.

A: name[Green Man], food[English], priceRange[less than £20], area[riverside], familyFriendly[yes], near[All Bar One]
****
Q: Indian restaurant Midsummer House has an average customer rating and is found near All Bar One. It has a high price range.

A: name[Midsummer House], food[Indian], priceRange[high], customer rating[average], near[All Bar One]
****
Q: Moderately priced, The Mill serves Japanese food in a city centre pub.

A:
name[The Mill], eatType[pub], food[Japanese], priceRange[moderate], area[city centre]
****