Datasets:
bltlab
/
queryner

Dataset card Data Studio Files Community
2
tokens
sequencelengths
2
12
ner_tags
sequencelengths
2
12
[ "workout", "yoga", "pants", "high", "waisted" ]
[ 19, 9, 10, 31, 32 ]
[ "liberty", "bottleworks" ]
[ 11, 12 ]
[ "laminators", "for", "home", "use" ]
[ 17, 18, 18, 18 ]
[ "bike", "seats" ]
[ 9, 10 ]
[ "rocket", "dog", "shoes", "for", "women" ]
[ 11, 12, 9, 13, 14 ]
[ "david", "bowie", "novelty" ]
[ 11, 12, 9 ]
[ "tommy", "jeans", "hat" ]
[ 11, 15, 9 ]
[ "zoya", "gel", "polish" ]
[ 11, 9, 10 ]
[ "magnetic", "screen", "door" ]
[ 17, 9, 10 ]
[ "kevin", "with", "chili", "funko", "pop" ]
[ 7, 8, 8, 11, 12 ]
[ "how", "universe", "works" ]
[ 7, 8, 8 ]
[ "high", "back", "booster", "seat", "for", "car" ]
[ 17, 18, 18, 9, 17, 18 ]
[ "adult", "disney", "gifts" ]
[ 13, 11, 9 ]
[ "3m", "scotch", "weld", "structural", "adhesive" ]
[ 11, 25, 17, 18, 9 ]
[ "school", "bag", "with", "lunch", "box", "for", "6", "years", "old", "boy" ]
[ 9, 10, 17, 18, 18, 13, 14, 14, 14, 13 ]
[ "full", "length", "swivel", "mirror" ]
[ 31, 32, 9, 10 ]
[ "freshly", "picked", "diaper", "bag" ]
[ 11, 12, 9, 10 ]
[ "floral", "dresses", "for", "women" ]
[ 3, 9, 13, 14 ]
[ "raw", "mini", "rolling", "tray" ]
[ 11, 31, 9, 10 ]
[ "upright", "vacuum", "cleaner" ]
[ 9, 10, 10 ]
[ "orange", "bedspread" ]
[ 3, 9 ]
[ "ddr3", "samsung", "ram" ]
[ 25, 11, 9 ]
[ "kia", "sportage", "roof", "rack", "without", "rails" ]
[ 17, 18, 9, 10, 5, 6 ]
[ "halloween", "decorations", "outdoor" ]
[ 19, 9, 17 ]
[ "womens", "cocktail", "dresses", "for", "special", "occasions" ]
[ 13, 17, 9, 17, 18, 18 ]
[ "pooh", "onesie" ]
[ 7, 9 ]
[ "santa", "hat", "for", "women" ]
[ 7, 9, 13, 14 ]
[ "shimano", "105", "crankset" ]
[ 11, 25, 9 ]
[ "kids", "9-12" ]
[ 13, 14 ]
[ "trike", "motorcycle", "for", "adults", "street", "legal" ]
[ 9, 10, 13, 14, 17, 18 ]
[ "orthofeet", "shoes" ]
[ 11, 9 ]
[ "lifeproof", "iphone", "6s" ]
[ 11, 25, 26 ]
[ "men's", "dress", "socks" ]
[ 13, 9, 10 ]
[ "laptop", "bag", "13", "inch" ]
[ 9, 10, 1, 2 ]
[ "coin", "capsules", "for", "silver", "dollars" ]
[ 9, 10, 17, 18, 18 ]
[ "40watt", "bulb" ]
[ 1, 9 ]
[ "outdoor", "club", "chairs" ]
[ 17, 9, 10 ]
[ "wart", "freeze" ]
[ 9, 10 ]
[ "the", "last", "days", "of", "the", "beatles" ]
[ 7, 8, 8, 8, 8, 8 ]
[ "farinhite", "451" ]
[ 7, 8 ]
[ "ambercrombie&fitch", "perfume", "for", "women" ]
[ 11, 9, 13, 14 ]
[ "xxl", "club", "dress" ]
[ 1, 19, 9 ]
[ "nano", "pak" ]
[ 25, 26 ]
[ "bluetooth", "speaker", "for", "classroom" ]
[ 17, 9, 17, 18 ]
[ "doctor", "mcstuffins", "doll" ]
[ 25, 26, 9 ]
[ "keto", "chocolate", "snacks" ]
[ 17, 15, 9 ]
[ "shower", "curtain", "mold", "resistant" ]
[ 9, 10, 17, 18 ]
[ "eye", "wash", "solution" ]
[ 9, 10, 10 ]
[ "mens", "xs", "running", "shorts", "cell", "phone" ]
[ 13, 1, 9, 10, 17, 18 ]
[ "sexy", "black", "dress" ]
[ 17, 3, 9 ]
[ "trojan", "t105", "batteries" ]
[ 11, 25, 9 ]
[ "men", "athletic", "shoes" ]
[ 13, 9, 10 ]
[ "pool", "noodle" ]
[ 9, 10 ]
[ "matte", "nail", "polish" ]
[ 3, 9, 10 ]
[ "vegan", "benzoyl", "peroxide", "face", "wash" ]
[ 17, 15, 16, 9, 10 ]
[ "jaws", "board", "game" ]
[ 7, 9, 10 ]
[ "dish", "towels" ]
[ 9, 10 ]
[ "knee", "hole", "jeans", "womens" ]
[ 31, 32, 9, 13 ]
[ "used", "trekking", "poles" ]
[ 5, 9, 10 ]
[ "heeled", "booties", "for", "women" ]
[ 31, 9, 13, 14 ]
[ "glider", "rocker" ]
[ 9, 10 ]
[ "mr", "kool" ]
[ 11, 12 ]
[ "red", "youth", "tshirt" ]
[ 3, 13, 9 ]
[ "bearbrick", "400" ]
[ 25, 26 ]
[ "womens", "comfort", "fit", "platinum" ]
[ 13, 31, 32, 15 ]
[ "tophe", "oil" ]
[ 11, 9 ]
[ "3d", "printer" ]
[ 9, 10 ]
[ "15", "ft", "curtain", "rod" ]
[ 1, 2, 9, 10 ]
[ "fleece", "lined", "flannel", "shirt", "women" ]
[ 17, 18, 15, 9, 13 ]
[ "mens", "button", "down", "shirts", "with", "flowers" ]
[ 13, 9, 10, 10, 17, 18 ]
[ "banjo", "skeleton" ]
[ 9, 10 ]
[ "sonic", "plush", "toys", "amy" ]
[ 7, 9, 10, 7 ]
[ "cottingham’s", "western", "philosophy" ]
[ 7, 8, 8 ]
[ "aveda", "shampoo", "and", "conditioner" ]
[ 11, 9, 10, 10 ]
[ "cord", "cover", "outdoor" ]
[ 9, 10, 17 ]
[ "battery", "motors" ]
[ 9, 17 ]
[ "barn", "pictures", "wall", "decor" ]
[ 7, 9, 10, 10 ]
[ "fnaf", "costume", "nightmare", "bonnie" ]
[ 7, 9, 7, 8 ]
[ "bike", "pedals", "with", "straps" ]
[ 9, 10, 17, 18 ]
[ "chicken", "home", "decor" ]
[ 31, 9, 10 ]
[ "plastic", "cereal", "bins" ]
[ 15, 9, 10 ]
[ "shave", "soap", "for", "men" ]
[ 9, 10, 13, 14 ]
[ "tracie", "peterson", "books" ]
[ 11, 12, 9 ]
[ "puma", "bucket", "bag" ]
[ 11, 9, 10 ]
[ "rbi", "baseball", "19", "xbox", "one" ]
[ 25, 26, 26, 25, 26 ]
[ "decorative", "oil", "bottle" ]
[ 17, 9, 10 ]
[ "baking", "sets", "for", "girls", "9-12", "real" ]
[ 9, 10, 13, 14, 14, 17 ]
[ "5mm", "laminating", "sheets" ]
[ 1, 9, 10 ]
[ "belly", "dance", "belts", "for", "women" ]
[ 19, 20, 9, 13, 14 ]
[ "gift", "certificates", "blank" ]
[ 0, 0, 0 ]
[ "kids", "roller", "blades" ]
[ 13, 9, 10 ]
[ "niv,", "adventure", "bible,", "leathersoft,", "gray/blue,", "full", "color" ]
[ 7, 8, 8, 8, 8, 17, 18 ]
[ "flower", "pillows" ]
[ 7, 9 ]
[ "running", "gel", "pcks" ]
[ 19, 9, 10 ]
[ "silverado", "shocks" ]
[ 17, 9 ]
[ "garmin", "smart", "watches", "for", "women" ]
[ 11, 25, 26, 13, 14 ]
[ "elsa", "doll" ]
[ 7, 9 ]
[ "wall", "inspiration" ]
[ 0, 0 ]
[ "women's", "size", "10", "two", "tone", "rings" ]
[ 13, 1, 2, 3, 4, 9 ]
[ "cinimon", "toothpick", "not", "wood" ]
[ 9, 10, 5, 6 ]