Datasets:

bltlab

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queryner

like 1

[ "dog", "dryers", "high", "velocity" ]

[ 9, 10, 17, 18 ]

[ "micrieave", "plate", "cover" ]

[ 17, 9, 10 ]

[ "halo", "hair", "extensions" ]

[ 11, 12, 12 ]

[ "cat6", "patch", "cable", "15", "foot" ]

[ 17, 9, 10, 1, 2 ]

[ "birthday", "postcards", "for", "students" ]

[ 19, 9, 13, 14 ]

[ "decendents", "3", "dolls" ]

[ 7, 8, 9 ]

[ "samsung", "tab", "e", "case" ]

[ 11, 25, 26, 9 ]

[ "18", "piece", "dish", "set" ]

[ 29, 30, 9, 10 ]

[ "motorguide", "tour", "prop" ]

[ 11, 25, 9 ]

[ "2", "3/4", "center", "caps" ]

[ 1, 2, 9, 10 ]

[ "big", "and", "tall", "tommy", "hilfiger", "men" ]

[ 31, 32, 32, 11, 12, 13 ]

[ "skull", "balaclava", "face", "mask" ]

[ 7, 31, 9, 10 ]

[ "cross", "cut", "sled" ]

[ 31, 32, 9 ]

[ "automatic", "esspresso/coffee", "machine" ]

[ 17, 9, 10 ]

[ "rose", "gold", "led", "lights" ]

[ 3, 4, 9, 10 ]

[ "bose", "home", "theater", "system" ]

[ 11, 9, 10, 10 ]

[ "shirts", "for", "men", "casual", "button", "down" ]

[ 9, 13, 14, 17, 31, 32 ]

[ "samsung", "fridge", "water", "filter" ]

[ 11, 17, 9, 10 ]

[ "mother", "of", "bride", "dresses", "for", "wedding", "tea", "length" ]

[ 17, 18, 18, 9, 19, 20, 1, 2 ]

[ "eye", "for", "an", "eye", "dvd" ]

[ 7, 8, 8, 8, 9 ]

[ "peru", "travel", "adapter" ]

[ 21, 9, 10 ]

[ "allergy", "pro", "ap350", "replacement", "filter" ]

[ 17, 18, 25, 9, 10 ]

[ "hulk", "bandana", "face", "mask" ]

[ 7, 9, 10, 10 ]

[ "paper", "espresso", "cups" ]

[ 15, 9, 10 ]

[ "bernie", "mac" ]

[ 7, 8 ]

[ "ipad", "pro", "12.9", "keyboard", "and", "mouse", "compatible" ]

[ 25, 26, 1, 17, 18, 18, 18 ]

[ "wild", "alaskan", "salmon", "oil" ]

[ 25, 26, 26, 26 ]

[ "toddler", "boys", "winter", "boots", "size", "9" ]

[ 13, 14, 19, 9, 1, 2 ]

[ "tye", "die", "bandanas" ]

[ 9, 10, 10 ]

[ "metrix", "protien", "bars" ]

[ 11, 9, 10 ]

[ "powder", "coat", "paint" ]

[ 17, 18, 9 ]

[ "pump", "membranes", "bpa", "free" ]

[ 9, 10, 17, 18 ]

[ "youtube", "videos" ]

[ 0, 0 ]

[ "chinese", "iphone", "xr", "case" ]

[ 21, 25, 26, 9 ]

[ "usb", "3", "cable", "a", "to", "a" ]

[ 9, 10, 10, 17, 18, 18 ]

[ "the", "little", "book", "of", "sloth", "philosophy" ]

[ 7, 8, 8, 8, 8, 8 ]

[ "kidzlane", "laser", "tag" ]

[ 11, 9, 10 ]

[ "solar", "christmas", "tree" ]

[ 17, 9, 10 ]

[ "red", "suspenders" ]

[ 3, 9 ]

[ "kids", "helmet", "3-5", "years" ]

[ 13, 9, 13, 14 ]

[ "12v", "pa", "system" ]

[ 1, 9, 10 ]

[ "big", "gold", "hoop", "earrings" ]

[ 31, 15, 31, 9 ]

[ "boys", "size", "5", "faux", "fur" ]

[ 13, 1, 2, 15, 16 ]

[ "media", "console" ]

[ 9, 10 ]

[ "halo", "light", "ring" ]

[ 9, 10, 10 ]

[ "1oz", "vodka", "shooters" ]

[ 1, 9, 10 ]

[ "isopropyl", "alcohol" ]

[ 9, 10 ]

[ "work", "gloves", "men" ]

[ 17, 9, 13 ]

[ "the", "butterfly", "project" ]

[ 11, 12, 12 ]

[ "fabric", "storage" ]

[ 0, 0 ]

[ "clairol", "root", "cover", "powder" ]

[ 11, 9, 10, 10 ]

[ "men", "chains", "with", "pendants" ]

[ 13, 9, 17, 18 ]

[ "lanyard", "badge", "key" ]

[ 9, 17, 18 ]

[ "fish", "tank", "ornament", "shipwreck" ]

[ 17, 18, 9, 10 ]

[ "men", "beer", "hoodie" ]

[ 13, 7, 9 ]

[ "usb", "plug", "hub", "3", "port" ]

[ 9, 10, 10, 17, 18 ]

[ "vintage", "suitcase", "for", "women" ]

[ 5, 9, 13, 14 ]

[ "nike", "toddler", "girl", "shoes" ]

[ 11, 13, 14, 9 ]

[ "ethernet", "gaming", "cable" ]

[ 9, 19, 9 ]

[ "panty", "liners", "for", "women" ]

[ 9, 10, 13, 14 ]

[ "13", "gallon", "garbage", "bags" ]

[ 1, 2, 17, 9 ]

[ "trek", "marlin", "4" ]

[ 11, 25, 26 ]

[ "plus", "size", "homecoming", "dresses", "for", "women" ]

[ 1, 2, 7, 9, 13, 14 ]

[ "iphone", "earphones" ]

[ 25, 9 ]

[ "grease", "stain", "remover", "for", "clothes" ]

[ 9, 10, 10, 17, 18 ]

[ "pasta", "de", "cecco", "thin" ]

[ 9, 11, 12, 17 ]

[ "lawn", "chair", "without", "arms" ]

[ 9, 10, 31, 32 ]

[ "lawn", "mower", "without", "motor" ]

[ 9, 10, 17, 18 ]

[ "foaming", "wasp", "and", "hornet", "killer" ]

[ 17, 9, 10, 10, 10 ]

[ "zip", "up", "sports", "bras", "for", "women" ]

[ 17, 18, 9, 10, 13, 14 ]

[ "metal", "keaf", "tray" ]

[ 15, 31, 9 ]

[ "learning", "toys" ]

[ 17, 9 ]

[ "thermal", "paper", "rolls", "2", "1", "4", "x", "50" ]

[ 17, 9, 10, 1, 2, 2, 2, 2 ]

[ "amazon", "luggage" ]

[ 11, 9 ]

[ "mud", "clay", "acne", "soap" ]

[ 9, 10, 10, 10 ]

[ "winter", "boots", "liner" ]

[ 19, 9, 10 ]

[ "waterproof", "limit", "switch" ]

[ 17, 18, 9 ]

[ "dreft", "baby", "detergent" ]

[ 11, 17, 9 ]

[ "ar", "15", "pec", "15" ]

[ 25, 26, 26, 26 ]

[ "safety", "pin", "earring" ]

[ 17, 9, 10 ]

[ "belly", "button", "rings" ]

[ 9, 10, 10 ]

[ "zevia", "ginger", "ale" ]

[ 11, 9, 10 ]

[ "custom", "jewelry", "for", "women" ]

[ 17, 9, 13, 14 ]

[ "magnetic", "phone", "accessories" ]

[ 17, 9, 10 ]

[ "led", "purge", "mask" ]

[ 17, 7, 9 ]

[ "fox", "racing", "hoodie" ]

[ 11, 12, 9 ]

[ "glade", "plugins", "refills" ]

[ 11, 17, 9 ]

[ "logitech", "m705" ]

[ 11, 25 ]

[ "monitor", "gaming" ]

[ 9, 10 ]

[ "i", "am", "with", "you", "always", "do", "not", "be", "afraid" ]

[ 7, 8, 8, 8, 8, 8, 8, 8, 8 ]

[ "fisher", "paykel", "water", "filter" ]

[ 11, 12, 9, 10 ]

[ "standing", "dinner", "table" ]

[ 17, 9, 10 ]

[ "328i", "led", "halo" ]

[ 25, 9, 10 ]

[ "lg", "tones" ]

[ 11, 25 ]

[ "elemental", "dinnerware" ]

[ 17, 9 ]

[ "nursing", "robe" ]

[ 9, 10 ]

[ "white", "basket", "with", "handle" ]

[ 3, 9, 31, 32 ]

[ "cat5e", "coupler" ]

[ 17, 9 ]

[ "nba", "starter", "jacket" ]

[ 7, 8, 9 ]

[ "face", "mask" ]

[ 9, 10 ]