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: Bibimbap House offers French food with expensive price near Clare Hall.

A: name[Bibimbap House], food[French], priceRange[more than £30], area[city centre], near[Clare Hall]
****
Q: There is a 3-star coffee shop called Clowns located east of Clare Hall.

A: name[Clowns], eatType[coffee shop], food[Fast food], customer rating[average], area[riverside], near[Clare Hall]
****
Q: There is a French cuisine establishment located near Rainbow Vegetarian Café, Strada. The price range is moderate, the environment is not kid friendly and the customer satisfaction rating is a low 1 out of 5.

A:
name[Strada], food[French], priceRange[moderate], customer rating[1 out of 5], familyFriendly[no], near[Rainbow Vegetarian Café]
****