Datasets:

bltlab

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queryner

like 0

[ "rainbow", "highlighter" ]

[ 7, 9 ]

[ "thick", "posters", "welcome", "different", "languages" ]

[ 31, 9, 7, 8, 8 ]

[ "raven", "jiu", "jitsu", "gi" ]

[ 11, 25, 26, 26 ]

[ "desk", "organizers", "and", "accessories" ]

[ 9, 10, 17, 18 ]

[ "jockey", "yoga", "pants", "for", "women", "bootcut" ]

[ 11, 9, 10, 13, 14, 17 ]

[ "mens", "nike", "beanie" ]

[ 13, 11, 12 ]

[ "lego", "avengers" ]

[ 11, 7 ]

[ "adhesive", "velcro" ]

[ 17, 9 ]

[ "dumper", "dogg" ]

[ 25, 26 ]

[ "sonas", "blutooth", "speaker" ]

[ 11, 17, 9 ]

[ "arcade", "shooter" ]

[ 9, 10 ]

[ "tesla", "model", "3", "center", "console", "wrap" ]

[ 11, 25, 26, 9, 10, 10 ]

[ "stars", "projector" ]

[ 9, 10 ]

[ "zebra", "crossbody", "bags", "for", "women" ]

[ 11, 31, 9, 13, 14 ]

[ "nail", "polish", "varnish", "mirror", "finish" ]

[ 9, 10, 10, 17, 18 ]

[ "baltimore", "ravens", "shirts", "men" ]

[ 7, 8, 9, 13 ]

[ "full", "bed", "frame", "no", "box", "spring", "needed" ]

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

[ "white", "vans" ]

[ 3, 25 ]

[ "sound", "deadening" ]

[ 9, 10 ]

[ "popcorn", "maker" ]

[ 9, 10 ]

[ "drill", "brush" ]

[ 9, 10 ]

[ "coffee", "filters", "prime", "pantry" ]

[ 9, 10, 0, 0 ]

[ "freedom", "writers" ]

[ 7, 8 ]

[ "drum", "pendant", "light" ]

[ 31, 9, 10 ]

[ "hawaiian", "spirunira" ]

[ 25, 9 ]

[ "iwatch", "4" ]

[ 25, 26 ]

[ "watch", "with", "thermometer" ]

[ 9, 17, 18 ]

[ "lorex", "4k", "security", "camera" ]

[ 11, 17, 9, 10 ]

[ "fuzzy", "slides", "for", "women" ]

[ 17, 9, 13, 14 ]

[ "floral", "dessert", "plates" ]

[ 3, 17, 9 ]

[ "sweet", "16", "yard", "signs", "with", "stakes", "pink" ]

[ 7, 8, 9, 10, 17, 18, 3 ]

[ "tiger", "grip", "orange", "nitrile", "gloves" ]

[ 11, 12, 3, 15, 9 ]

[ "cleveland", "indians", "onsie" ]

[ 7, 8, 9 ]

[ "nuummite", "crystal", "stone" ]

[ 15, 9, 10 ]

[ "pen", "refills" ]

[ 9, 10 ]

[ "240hz", "monitor" ]

[ 1, 9 ]

[ "dog", "cone", "collar", "clear" ]

[ 9, 10, 10, 3 ]

[ "thieves", "household", "cleaner" ]

[ 25, 9, 10 ]

[ "ex", "pokemon", "cards", "pack" ]

[ 25, 26, 9, 10 ]

[ "iverson", "legacy", "shoes" ]

[ 11, 12, 9 ]

[ "truck", "sun", "shade", "visor" ]

[ 17, 9, 10, 10 ]

[ "boys", "3t", "long", "sleeve", "shirt" ]

[ 13, 1, 31, 9, 10 ]

[ "gci", "chair" ]

[ 11, 9 ]

[ "hanging", "egg", "chair", "without", "stand" ]

[ 17, 31, 9, 5, 6 ]

[ "vortex", "funnel" ]

[ 31, 9 ]

[ "airport", "face", "mask", "kids" ]

[ 19, 9, 10, 13 ]

[ "floral", "apple", "watch", "band", "38mm" ]

[ 3, 11, 25, 9, 1 ]

[ "tan", "and", "brown", "bathroom", "wall", "decor" ]

[ 3, 0, 3, 17, 18, 9 ]

[ "book", "shelves" ]

[ 9, 10 ]

[ "bathtub", "faucet", "with", "rough", "valve" ]

[ 9, 10, 31, 32, 32 ]

[ "wide", "toe", "box" ]

[ 9, 10, 10 ]

[ "organic", "sweet", "drop", "peppers" ]

[ 17, 9, 10, 10 ]

[ "spice", "rack", "for", "doors" ]

[ 17, 9, 17, 18 ]

[ "mens", "open", "bottom", "sweatpants" ]

[ 13, 17, 18, 9 ]

[ "power", "ranger", "helmet" ]

[ 7, 8, 9 ]

[ "gator", "patches", "for", "clothing" ]

[ 9, 10, 17, 18 ]

[ "zippo", "american", "flag", "lighter" ]

[ 11, 7, 8, 9 ]

[ "makeup", "case", "with", "makeup", "included" ]

[ 9, 10, 17, 18, 18 ]

[ "human", "hair", "wigs", "with", "bangs" ]

[ 17, 18, 9, 17, 18 ]

[ "knitting", "needle", "sets", "interchangeable" ]

[ 9, 10, 10, 17 ]

[ "cousin", "it", "costume" ]

[ 7, 8, 9 ]

[ "insulated", "grocery", "bags", "with", "zippered", "top" ]

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

[ "20", "gal", "kitchen", "trash", "bags" ]

[ 1, 2, 17, 9, 10 ]

[ "atv", "soap" ]

[ 17, 9 ]

[ "mildew", "resistant", "84", "inch", "shower", "curtain" ]

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

[ "leapreader", "books" ]

[ 7, 9 ]

[ "bathing", "without", "a", "battle" ]

[ 7, 8, 8, 8 ]

[ "air", "blower", "gun", "computer" ]

[ 9, 10, 10, 17 ]

[ "cute", "thermal", "leggings" ]

[ 17, 9, 10 ]

[ "long", "iphone", "charger" ]

[ 1, 25, 9 ]

[ "sheets", "for", "queen", "bed" ]

[ 9, 1, 2, 2 ]

[ "baby", "duck", "boots" ]

[ 13, 9, 10 ]

[ "large", "nonstick", "sauteuse" ]

[ 1, 17, 9 ]

[ "weight", "loss" ]

[ 0, 0 ]

[ "samsung", "note", "9", "privacy", "screen", "protector", "tempered", "glass" ]

[ 11, 25, 26, 9, 10, 10, 15, 16 ]

[ "brail", "toaster" ]

[ 11, 9 ]

[ "broan", "undercabinet", "range", "hood" ]

[ 11, 17, 9, 10 ]

[ "plastic", "straw" ]

[ 15, 9 ]

[ "bass", "guitar", "4", "string" ]

[ 9, 10, 17, 18 ]

[ "per", "carrier", "crate" ]

[ 9, 10, 10 ]

[ "15.6", "inch", "touchscreen", "laptop", "case" ]

[ 1, 2, 17, 18, 9 ]

[ "gun", "rack", "for", "truck" ]

[ 9, 10, 17, 18 ]

[ "converters", "and", "adapters", "for", "cars" ]

[ 9, 10, 10, 17, 18 ]

[ "dodge", "grand", "caravan", "car", "cover" ]

[ 17, 18, 18, 9, 10 ]

[ "pliers", "needle", "nose" ]

[ 9, 31, 32 ]

[ "apple", "watch", "series", "5" ]

[ 11, 25, 26, 26 ]

[ "2ml", "syringe", "without", "needle" ]

[ 1, 9, 5, 6 ]

[ "80s", "exercise", "costume", "for", "women" ]

[ 33, 19, 9, 13, 14 ]

[ "ben", "&", "jerrys" ]

[ 11, 12, 12 ]

[ "color", "mixing", "techniques" ]

[ 0, 0, 0 ]

[ "total", "film", "magazine" ]

[ 25, 26, 9 ]

[ "food", "perservation", "tray" ]

[ 17, 18, 9 ]

[ "musicians", "without", "borders" ]

[ 11, 12, 12 ]

[ "eleanor", "burns" ]

[ 11, 12 ]

[ "10", "slot", "slim", "wallet", "with", "money", "clip", "and", "without", "id", "window" ]

[ 17, 18, 31, 9, 17, 18, 18, 0, 5, 6, 6 ]

[ "book", "of", "lists", "2" ]

[ 7, 8, 8, 8 ]

[ "stutterheim", "raincoat", "men" ]

[ 11, 9, 13 ]

[ "glitter", "headband" ]

[ 17, 9 ]

[ "boba", "fett", "droids", "funco", "pop" ]

[ 7, 8, 8, 11, 12 ]

[ "alter", "eco", "brown", "butter", "chocolate" ]

[ 25, 26, 9, 10, 10 ]