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.

Input: Consider Input: The Olive Grove is a children friendly pub in Riverside. They serve fast food in the high price range.

Output: name[The Olive Grove], eatType[pub], food[Fast food], priceRange[high], area[riverside], familyFriendly[yes]


Input: Consider Input: Blue Spice is an expensive Japanese restaurant in riverside providing at a starting price of £30.

Output: name[Blue Spice], food[Japanese], priceRange[more than £30], area[riverside]


Input: Consider Input: Wildwood is a coffee shop providing Indian food in the moderate price range. It is near Ranch. Its customer rating is 3 out of 5.


Output: name[Wildwood], eatType[coffee shop], food[Indian], priceRange[moderate], customer rating[3 out of 5], near[Ranch]