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.
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Question: For a pricey pub serving Indian, look for The Olive Grove in the city centre. please note, this venue is not child friendly.

Answer: name[The Olive Grove], eatType[pub], food[Indian], priceRange[high], area[city centre], familyFriendly[no]


Question: The Rice Boat, located in the city centre neat Express by Holiday Inn, is a high priced fast food restaurant. It has a one of five customer rating and us not children friendly.

Answer: name[The Rice Boat], food[Fast food], priceRange[high], customer rating[1 out of 5], area[city centre], familyFriendly[no], near[Express by Holiday Inn]


Question: Fitzbillies is a fast food coffee shop for adults with a rating of 3 out of 5. This Riverside location has a moderate price range.

Answer:
name[Fitzbillies], eatType[coffee shop], food[Fast food], priceRange[moderate], customer rating[3 out of 5], area[riverside], familyFriendly[no]