Datasets:
namejun12000
/
PALR_preference2_yelp

Dataset card Data Studio Files
xet
 Community
1
instruction
stringclasses
1 value
input
dict
Your task is to find two categories to summarize user's preference based on history interactions and their categories.
{ "category": [ "Food, Ramen, Bubble Tea, Asian Fusion, Japanese, Restaurants, Pan Asian, Sandwiches", "Pizza, Burgers, Local Flavor, Restaurants", "Bars, Cocktail Bars, Restaurants, Nightlife, American (New), American (Traditional)", "Chicken Wings, Bars, Nightlife, Restaurants, American (New), Cockt...
Your task is to find two categories to summarize user's preference based on history interactions and their categories.
{ "category": [ "Food, Asian Fusion, Coffee & Tea, Restaurants, Desserts, Bubble Tea, Vietnamese", "Italian, Restaurants, Pizza", "Bars, Restaurants, Wine Bars, Italian, Nightlife", "Nightlife, Bars, Restaurants, American (New), Burgers, Sports Bars, American (Traditional)", "Burgers, Desserts, Ba...
Your task is to find two categories to summarize user's preference based on history interactions and their categories.
{ "category": [ "Vietnamese, Restaurants, Sandwiches, Cafes, Bubble Tea, Food", "Seafood, Cajun/Creole, Chicken Wings, Food, Food Trucks, Restaurants, Wraps", "Restaurants, American (Traditional), American (New), Cafes, Breakfast & Brunch", "Active Life, Playgrounds, Parks", "Books, Mags, Music & ...
Your task is to find two categories to summarize user's preference based on history interactions and their categories.
{ "category": [ "Southern, Nightlife, Sandwiches, Barbeque, Restaurants, Bars", "Restaurants, Seafood, Cajun/Creole, Breakfast & Brunch", "Grocery, Food, Restaurants, Beer, Wine & Spirits, American (Traditional)", "Food, Ice Cream & Frozen Yogurt, Coffee & Tea, Chicken Wings, Sandwiches, Restaurants, ...
Your task is to find two categories to summarize user's preference based on history interactions and their categories.
{ "category": [ "Beauty & Spas, Nail Salons, Hair Removal, Massage, Waxing, Eyelash Service, Day Spas", "Desserts, Bars, Food, Nightlife, Italian, Restaurants", "Bars, American (Traditional), Nightlife, Sports Bars, Restaurants, Chicken Wings", "Nightlife, Event Planning & Services, Restaurants, Bars,...
Your task is to find two categories to summarize user's preference based on history interactions and their categories.
{ "category": [ "Food, Specialty Food, Delis, Cheese Shops, Restaurants, Cheesesteaks, Cafes, Sandwiches", "Food, Food Delivery Services, Restaurants, Pizza, Delis, Italian", "Restaurants, Bars, Nightlife, Burgers, American (New), Breakfast & Brunch, Comfort Food", "American (Traditional), Restaurants...