Datasets:

bltlab

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queryner

like 0

[ "rbg", "tank", "women" ]

[ 3, 9, 13 ]

[ "hello", "world", "newborn", "clothes", "for", "girls" ]

[ 7, 8, 13, 9, 13, 14 ]

[ "kitchen", "sponge" ]

[ 9, 10 ]

[ "nike", "backpacks", "for", "boys" ]

[ 11, 9, 13, 14 ]

[ "dewalt", "hole", "saw", "kit" ]

[ 11, 9, 10, 10 ]

[ "door", "camera" ]

[ 9, 10 ]

[ "glitter", "ankle", "booties" ]

[ 17, 9, 10 ]

[ "black", "jumpsuit", "for", "women" ]

[ 3, 9, 13, 14 ]

[ "towel", "dress", "for", "hand" ]

[ 9, 31, 17, 18 ]

[ "turbo", "feed", "fitting" ]

[ 9, 10, 10 ]

[ "fishing", "boots", "&", "waders" ]

[ 17, 9, 10, 10 ]

[ "wristlet", "wallet", "with", "cell", "phone", "holder", "leather" ]

[ 9, 10, 17, 18, 18, 18, 15 ]

[ "journal", "for", "women" ]

[ 9, 13, 14 ]

[ "tv", "onn" ]

[ 9, 11 ]

[ "weighted", "workout", "bar" ]

[ 9, 10, 10 ]

[ "womens", "slip", "on", "shoes" ]

[ 13, 17, 18, 9 ]

[ "wig", "caps", "for", "women" ]

[ 9, 10, 13, 14 ]

[ "1", "1/4", "well", "strainer", "for", "water", "well", "without", "foot", "valve" ]

[ 1, 2, 9, 10, 17, 18, 18, 5, 6, 6 ]

[ "windshiel", "wipers", "malibu" ]

[ 9, 10, 17 ]

[ "mens", "xbox" ]

[ 13, 25 ]

[ "crease", "protectors", "for", "air", "force", "1", "size", "13" ]

[ 9, 10, 17, 18, 18, 18, 1, 2 ]

[ "tacos", "vs", "burritos" ]

[ 25, 26, 26 ]

[ "flaming", "lips" ]

[ 11, 12 ]

[ "knee", "socks", "girl", "strip" ]

[ 9, 10, 13, 3 ]

[ "pheromone", "sexy", "body", "oil" ]

[ 17, 17, 9, 10 ]

[ "the", "body", "a", "guide", "for", "occupants" ]

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

[ "old", "russian", "movies", "in", "prime", "video" ]

[ 33, 21, 9, 17, 18, 18 ]

[ "oval", "velvet", "ring", "box" ]

[ 31, 15, 9, 10 ]

[ "crotchless", "panties", "for", "women" ]

[ 31, 9, 13, 14 ]

[ "batgirl", "cape", "and", "mask" ]

[ 7, 9, 10, 10 ]

[ "pastel", "backpacks" ]

[ 3, 9 ]

[ "blue", "sandals" ]

[ 3, 9 ]

[ "waterfowl", "hunting", "gear" ]

[ 25, 26, 9 ]

[ "travel", "monitor" ]

[ 9, 10 ]

[ "mrs", "meyers", "foaming", "hand", "soap", "lemon", "verbena" ]

[ 11, 12, 17, 9, 10, 15, 16 ]

[ "obama", "shir" ]

[ 7, 9 ]

[ "magic", "chef", "mini", "fridge", "without", "freezer" ]

[ 11, 12, 31, 9, 5, 6 ]

[ "camera", "lens" ]

[ 9, 10 ]

[ "naked", "mole", "rat", "stuffed", "animal" ]

[ 31, 32, 32, 9, 10 ]

[ "rotator", "cuff", "pillow" ]

[ 9, 10, 10 ]

[ "mud", "pie", "valentines", "day" ]

[ 11, 12, 19, 20 ]

[ "desk", "toys" ]

[ 17, 9 ]

[ "banzai", "jr.", "ducky", "splash", "mat" ]

[ 11, 25, 26, 26, 9 ]

[ "dupont", "tyvek" ]

[ 11, 25 ]

[ "treamills", "for", "running" ]

[ 9, 17, 18 ]

[ "sun", "readers", "for", "men" ]

[ 9, 10, 13, 14 ]

[ "everyone", "poops" ]

[ 7, 8 ]

[ "shower", "drain", "hair", "trap" ]

[ 9, 10, 10, 10 ]

[ "army", "nco", "sword" ]

[ 17, 18, 9 ]

[ "frosted", "e12", "candle", "bulb" ]

[ 17, 18, 31, 9 ]

[ "hairdresser", "spray", "bottle", "mist" ]

[ 13, 9, 10, 10 ]

[ "enzymes", "for", "digestion" ]

[ 9, 17, 18 ]

[ "outdoor", "games" ]

[ 17, 9 ]

[ "blue", "wedge", "heels", "for", "women", "size", "9" ]

[ 3, 9, 10, 13, 14, 1, 2 ]

[ "iphone", "xs", "max", "case", "jordan", "shoes" ]

[ 25, 26, 26, 9, 7, 8 ]

[ "pixel", "dongle" ]

[ 31, 9 ]

[ "ddi", "sx2" ]

[ 25, 26 ]

[ "bleaching", "cream", "for", "intimate", "areas" ]

[ 9, 10, 17, 18, 18 ]

[ "boltune", "noise", "canceling", "headphones" ]

[ 11, 17, 18, 9 ]

[ "solar", "lantern", "pink" ]

[ 17, 9, 3 ]

[ "huggies", "size", "1" ]

[ 11, 1, 2 ]

[ "samsung", "a", "50", "phone" ]

[ 11, 25, 26, 9 ]

[ "snap", "fastener" ]

[ 9, 10 ]

[ "pastel", "ball", "gown" ]

[ 3, 9, 10 ]

[ "sand", "rail", "interior" ]

[ 9, 10, 17 ]

[ "3.5", "jack" ]

[ 1, 9 ]

[ "lemongrass", "spearmint", "honey", "hand", "soap" ]

[ 25, 26, 26, 9, 10 ]

[ "crisp", "rat", "puppet" ]

[ 17, 31, 9 ]

[ "under", "armour", "shoes", "for", "men" ]

[ 11, 12, 9, 13, 14 ]

[ "carters", "baby", "girl", "set" ]

[ 11, 13, 14, 9 ]

[ "bridesmaids", "decorations" ]

[ 17, 9 ]

[ "hulk", "t", "shirts", "for", "men" ]

[ 7, 9, 10, 13, 14 ]

[ "school", "desk", "and", "chair", "set" ]

[ 9, 10, 10, 10, 10 ]

[ "new", "style", "cresent", "wrench" ]

[ 5, 6, 31, 9 ]

[ "ice", "age", "collection" ]

[ 7, 8, 0 ]

[ "filter", "turtle", "tank" ]

[ 9, 17, 18 ]

[ "grape", "jam" ]

[ 9, 10 ]

[ "f250", "badges" ]

[ 7, 9 ]

[ "issey", "miyake", "for", "women" ]

[ 11, 12, 13, 14 ]

[ "lg", "fiesta", "2", "camo", "phone", "cases" ]

[ 17, 18, 18, 3, 9, 10 ]

[ "usb", "outlet", "plug" ]

[ 9, 10, 10 ]

[ "womens", "running", "shoes", "size", "8.5", "asics" ]

[ 13, 17, 9, 1, 2, 11 ]

[ "pugs", "not", "drugs" ]

[ 7, 8, 8 ]

[ "round", "shoelaces", "for", "boots" ]

[ 31, 9, 17, 18 ]

[ "seiko", "flieger" ]

[ 11, 25 ]

[ "fishing", "fm", "radio" ]

[ 7, 8, 8 ]

[ "potato", "box" ]

[ 9, 10 ]

[ "russbe", "reusable", "bags" ]

[ 11, 17, 9 ]

[ "gel", "camping", "pad" ]

[ 9, 10, 10 ]

[ "toyota", "corolla", "accessories" ]

[ 17, 18, 9 ]

[ "fritz", "sprinmeier" ]

[ 11, 12 ]

[ "hanna", "713", "po4" ]

[ 11, 25, 26 ]

[ "monitor", "frameless" ]

[ 9, 17 ]

[ "macbook", "air", "case" ]

[ 25, 26, 9 ]

[ "zipper", "binders", "3", "inch" ]

[ 9, 10, 1, 2 ]

[ "greenland", "zip", "15" ]

[ 25, 26, 1 ]

[ "aieyezo", "blue", "light", "glasses", "flexible" ]

[ 11, 17, 18, 9, 17 ]

[ "daddy", "daughter", "dress" ]

[ 0, 0, 9 ]

[ "small", "jesus", "cross", "necklace" ]

[ 1, 31, 32, 9 ]

[ "lenovo", "tab", "4", "8", "case" ]

[ 11, 17, 18, 18, 9 ]