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: Strada Sushi is a moderately priced, family friendly restaurant near the Rainbow Vegetarian Café.

A: name[Strada], food[Japanese], priceRange[moderate], customer rating[1 out of 5], familyFriendly[yes], near[Rainbow Vegetarian Café]
****
Q: The Waterman is a French pub located in Riverside. It has an average customer rating.

A: name[The Waterman], eatType[pub], food[French], customer rating[average], area[riverside]
****
Q: The Rice Boat is a cheap fast food restaurant with a poor rating. It is conveniently located near the Express by Holiday Inn outside the City centre but does not welcome families.

A:
name[The Rice Boat], food[Fast food], priceRange[less than £20], customer rating[low], area[riverside], familyFriendly[no], near[Express by Holiday Inn]
****