Datasets:
bltlab
/
queryner

Dataset card Data Studio Files Community
2
tokens
sequencelengths
2
12
ner_tags
sequencelengths
2
12
[ "glass", "food", "prep", "containers", "10", "pack" ]
[ 15, 19, 20, 9, 29, 30 ]
[ "ky", "glide" ]
[ 11, 25 ]
[ "ice", "fishign", "reel" ]
[ 9, 10, 10 ]
[ "ketones", "test", "kit" ]
[ 9, 10, 10 ]
[ "rolex", "sea", "dweller" ]
[ 11, 25, 26 ]
[ "full", "size", "comforter" ]
[ 1, 2, 9 ]
[ "vans", "men", "shirt" ]
[ 11, 13, 9 ]
[ "coffee", "tumbler", "for", "men" ]
[ 9, 10, 13, 14 ]
[ "in", "ground", "trampoline", "outdoor" ]
[ 17, 18, 9, 17 ]
[ "kids", "multivitamin", "gummy" ]
[ 13, 9, 10 ]
[ "bonsai", "tree" ]
[ 9, 10 ]
[ "martha", "stewart", "cookbooks" ]
[ 11, 12, 9 ]
[ "desk", "letterboard" ]
[ 9, 10 ]
[ "maxi", "slit", "skirt" ]
[ 31, 31, 9 ]
[ "dish", "soap", "dispenser", "bottle", "glass" ]
[ 17, 9, 10, 31, 15 ]
[ "pure", "wave", "massager" ]
[ 11, 12, 9 ]
[ "craft", "sarcophagus" ]
[ 17, 9 ]
[ "iphone", "7", "under", "150", "dollars", "unlocked" ]
[ 25, 26, 23, 24, 24, 17 ]
[ "swiffer", "wet", "refills" ]
[ 11, 9, 10 ]
[ "men", "striped", "blue", "long", "sleeve" ]
[ 13, 3, 4, 31, 32 ]
[ "jerry", "can", "pour", "spout" ]
[ 9, 10, 10, 10 ]
[ "megaba", "deodorant" ]
[ 11, 9 ]
[ "tea", "bigelow" ]
[ 9, 11 ]
[ "work", "jumpsuit", "for", "women", "office" ]
[ 19, 9, 13, 14, 19 ]
[ "minimalist", "wallet", "paper" ]
[ 17, 9, 15 ]
[ "sexy", "high", "waisted", "swimsuit" ]
[ 17, 9, 10, 9 ]
[ "guess", "women" ]
[ 11, 13 ]
[ "white", "leather", "sneakers", "for", "women" ]
[ 3, 15, 9, 13, 14 ]
[ "lucy", "the", "doctor", "is", "in", "sign" ]
[ 7, 8, 8, 8, 8, 0 ]
[ "flatware", "set", "w", "hostess", "set" ]
[ 9, 10, 17, 18, 18 ]
[ "ch341a", "usb", "programmer" ]
[ 27, 9, 10 ]
[ "optiflow", "pen" ]
[ 25, 9 ]
[ "posh", "moomy" ]
[ 11, 12 ]
[ "womens", "disney", "shirts" ]
[ 13, 11, 9 ]
[ "ugg", "ashbury" ]
[ 11, 25 ]
[ "demi", "balconette", "push", "up", "bra" ]
[ 31, 17, 9, 10, 10 ]
[ "sexy", "dresses", "for", "women" ]
[ 17, 9, 13, 14 ]
[ "trailer", "hitch", "cargo", "carrier", "folding" ]
[ 9, 10, 10, 10, 17 ]
[ "temporary", "tattoos" ]
[ 17, 0 ]
[ "replacement", "remote", "samsung", "smart", "tv" ]
[ 9, 10, 11, 17, 18 ]
[ "octonauts", "gup", "q" ]
[ 7, 25, 26 ]
[ "xj", "stinger" ]
[ 25, 26 ]
[ "ruffled", "white", "blouses", "for", "women" ]
[ 31, 3, 9, 13, 14 ]
[ "earbuds", "samsung" ]
[ 9, 11 ]
[ "hickory", "stripe", "cap" ]
[ 9, 10, 10 ]
[ "gobo", "customized" ]
[ 11, 17 ]
[ "usa", "usaf", "flag", "pin" ]
[ 7, 8, 8, 9 ]
[ "cbd", "tea" ]
[ 17, 9 ]
[ "k9", "fitbone" ]
[ 25, 26 ]
[ "bentgo", "lunch", "bag" ]
[ 11, 9, 10 ]
[ "heated", "gloves", "for", "arthritis", "hands" ]
[ 9, 10, 17, 18, 18 ]
[ "rustic", "chandeliers", "farmhouse" ]
[ 5, 9, 17 ]
[ "poop", "pig" ]
[ 0, 0 ]
[ "ceiling", "light", "cover" ]
[ 17, 18, 9 ]
[ "1", "1/2", "leather", "belts", "without", "buckle" ]
[ 1, 2, 15, 9, 5, 6 ]
[ "bio", "hazards", "bags" ]
[ 17, 18, 9 ]
[ "halloween", "masks", "for", "kids" ]
[ 19, 9, 13, 14 ]
[ "metal", "ice", "bucket" ]
[ 15, 9, 10 ]
[ "spiralizer", "vegetable", "slicer" ]
[ 9, 17, 9 ]
[ "i", "watch", "4", "series" ]
[ 25, 26, 26, 26 ]
[ "leather", "rune", "pouch" ]
[ 15, 7, 9 ]
[ "racerback", "tank", "tops", "for", "women" ]
[ 31, 9, 10, 13, 14 ]
[ "spiderman", "night", "light", "projector" ]
[ 7, 9, 10, 17 ]
[ "classic", "lego", "sets" ]
[ 25, 11, 9 ]
[ "dual", "pistol", "case" ]
[ 17, 9, 10 ]
[ "harman", "esp", "sensor" ]
[ 11, 12, 9 ]
[ "alpha", "1", "gen", "1", "bellows", "kit" ]
[ 25, 26, 26, 26, 9, 10 ]
[ "top", "max" ]
[ 25, 26 ]
[ "trucker", "jacket", "men" ]
[ 11, 9, 13 ]
[ "amazon", "essentials", "boots" ]
[ 11, 17, 9 ]
[ "in", "the", "belly", "of", "the", "beast" ]
[ 7, 8, 8, 8, 8, 8 ]
[ "10”", "ceramic", "pots", "for", "indoor", "plants", "without", "drainage" ]
[ 1, 15, 9, 17, 18, 18, 31, 32 ]
[ "tea", "k", "cups", "timothy" ]
[ 9, 10, 10, 11 ]
[ "work", "flats", "for", "women" ]
[ 17, 9, 13, 14 ]
[ "laundry", "room", "symbol" ]
[ 0, 0, 0 ]
[ "porter", "cable", "variable", "speed", "20v", "drill" ]
[ 11, 12, 17, 18, 1, 9 ]
[ "car", "head", "rest" ]
[ 17, 9, 10 ]
[ "nintendo", "duck", "hunt", "game", "with", "gun" ]
[ 11, 25, 26, 9, 17, 18 ]
[ "dryer", "handle" ]
[ 9, 10 ]
[ "ugg", "boots", "for", "women", "9" ]
[ 11, 9, 13, 14, 1 ]
[ "stair", "gripper", "tape" ]
[ 17, 9, 10 ]
[ "darth", "vader", "toys" ]
[ 7, 8, 9 ]
[ "led", "lights", "10", "ft" ]
[ 9, 10, 1, 2 ]
[ "hair", "ties" ]
[ 9, 10 ]
[ "mens", "lion", "rings" ]
[ 13, 31, 9 ]
[ "lip", "rings", "16", "gauge" ]
[ 9, 10, 1, 2 ]
[ "peach", "fit", "leggings" ]
[ 3, 31, 9 ]
[ "g-", "shock" ]
[ 11, 12 ]
[ "counting", "cubes" ]
[ 9, 10 ]
[ "eye", "concealer" ]
[ 17, 9 ]
[ "emo", "handbags" ]
[ 17, 9 ]
[ "air", "force", "ones", "for", "men" ]
[ 25, 26, 26, 13, 14 ]
[ "girl", "toys", "for", "girls", "ages", "8-12" ]
[ 13, 9, 13, 14, 13, 14 ]
[ "lacoste", "jersey" ]
[ 11, 9 ]
[ "water", "spigot", "splitter" ]
[ 9, 10, 10 ]
[ "ryder", "indestructible", "shoes" ]
[ 11, 12, 9 ]
[ "sketchers", "for", "girls", "size", "1" ]
[ 11, 13, 14, 1, 2 ]
[ "board", "games", "for", "kids", "7", "and", "up" ]
[ 9, 10, 13, 14, 14, 14, 14 ]
[ "ladies", "breeches", "kerritz" ]
[ 13, 25, 11 ]
[ "adesso", "bell", "arc", "floor", "lamp" ]
[ 11, 25, 31, 9, 10 ]