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: The Rice Boat Chinese restaurant is near Express by Holiday Inn in the city centre.  It is children friendly with a high price range.  It has an average customer rating.

A: name[The Rice Boat], food[Chinese], priceRange[high], customer rating[average], area[city centre], familyFriendly[yes], near[Express by Holiday Inn]
****
Q: The Olive Grove is a pub selling good sushi at low prices , but not familiar. It is north of the City Centre.

A: name[The Olive Grove], eatType[pub], food[Japanese], priceRange[less than £20], area[riverside], familyFriendly[no]
****
Q: Wildwood pub is serving 5 star food while keeping their prices low.

A:
name[Wildwood], eatType[pub], food[Fast food], priceRange[cheap], customer rating[5 out of 5]
****