Datasets:
bltlab
/
queryner

Dataset card Data Studio Files
xet
Community
2
tokens
listlengths
2
12
ner_tags
listlengths
2
12
[ "teeth", "whitening", "sensitive", "teeth" ]
[ 9, 10, 17, 18 ]
[ "white", "duvet", "cover", "queen" ]
[ 3, 9, 10, 1 ]
[ "eminem", "iphone", "6", "case" ]
[ 7, 25, 26, 9 ]
[ "air", "tight", "containers", "for", "food" ]
[ 17, 18, 9, 17, 18 ]
[ "2", "piece", "living", "room", "curtain" ]
[ 29, 30, 19, 20, 9 ]
[ "byron", "cage", "cd" ]
[ 7, 8, 9 ]
[ "l.o.l", "lady", "diva" ]
[ 11, 25, 26 ]
[ "meguiars", "gold", "class", "car", "wash" ]
[ 11, 25, 26, 9, 10 ]
[ "dog", "book", "for", "1", "year", "old" ]
[ 7, 9, 13, 14, 14, 14 ]
[ "caterpillar", "boots", "for", "women" ]
[ 11, 9, 13, 14 ]
[ "m37", "infiniti", "glass", "mirror", "passenger", "side" ]
[ 25, 11, 15, 9, 17, 18 ]
[ "zippo", "insert" ]
[ 11, 9 ]
[ "light", "bulb", "changer", "for", "high", "ceilings", "with", "pole" ]
[ 9, 10, 10, 17, 18, 18, 17, 18 ]
[ "heat", "protectant", "spray", "for", "hair" ]
[ 9, 10, 10, 17, 18 ]
[ "gray", "paint", "can" ]
[ 3, 9, 10 ]
[ "georgia", "sweater" ]
[ 7, 9 ]
[ "home", "is", "not", "a", "country" ]
[ 7, 8, 8, 8, 8 ]
[ "11", "pro", "max", "case", "pelican" ]
[ 25, 26, 26, 9, 11 ]
[ "billy", "club" ]
[ 25, 26 ]
[ "men’s", "dress", "socks" ]
[ 13, 9, 10 ]
[ "hanging", "wall", "planter" ]
[ 9, 10, 17 ]
[ "night", "light", "plug", "in" ]
[ 9, 10, 17, 18 ]
[ "hydrolyzed", "collagen", "iv" ]
[ 9, 10, 17 ]
[ "sunflower", "door", "handle" ]
[ 31, 9, 10 ]
[ "cardigan", "for", "men" ]
[ 9, 13, 14 ]
[ "bare", "essentials", "makeup" ]
[ 25, 26, 9 ]
[ "aquatalia", "for", "women" ]
[ 11, 13, 14 ]
[ "christmas", "fairy", "lights" ]
[ 19, 9, 10 ]
[ "trilina", "pucci", "kindle", "books" ]
[ 11, 12, 25, 9 ]
[ "gray", "christmas", "box", "signs" ]
[ 3, 19, 9, 0 ]
[ "short", "skirt" ]
[ 31, 9 ]
[ "baby", "swim", "floats", "for", "infants" ]
[ 13, 9, 10, 13, 14 ]
[ "metal", "futon", "frame", "full" ]
[ 15, 9, 10, 31 ]
[ "vibrator", "for", "clit" ]
[ 9, 17, 18 ]
[ "rv", "toilet", "bowl", "cleaner" ]
[ 17, 9, 10, 10 ]
[ "iphone", "7", "plus", "case" ]
[ 25, 26, 26, 9 ]
[ "luigis", "mansion", "toys" ]
[ 7, 8, 9 ]
[ "dust", "mask", "reusable", "with", "alien" ]
[ 9, 10, 17, 7, 8 ]
[ "ballon", "garland", "kits" ]
[ 9, 10, 10 ]
[ "toothbrush", "holder", "wall", "mount" ]
[ 9, 10, 17, 18 ]
[ "iphone", "5" ]
[ 25, 26 ]
[ "saucony", "jazz", "mens", "olive" ]
[ 25, 26, 13, 3 ]
[ "yellow", "pepper" ]
[ 9, 10 ]
[ "crazy", "aarons", "thinking", "putty" ]
[ 11, 12, 25, 26 ]
[ "batgirl", "costume", "for", "women" ]
[ 7, 9, 13, 14 ]
[ "woman", "and", "daughter", "book" ]
[ 7, 8, 8, 9 ]
[ "glass", "jars", "with", "lids" ]
[ 15, 9, 31, 32 ]
[ "10", "inch", "bookshelf" ]
[ 1, 2, 9 ]
[ "goalzero", "yeti", "150", "charger" ]
[ 11, 25, 26, 9 ]
[ "toyota", "yaris", "bumper", "clips" ]
[ 11, 17, 9, 10 ]
[ "iron", "man", "costume" ]
[ 7, 8, 9 ]
[ "panacur", "for", "cats" ]
[ 9, 17, 18 ]
[ "bella", "canvas", "shirt", "triblend" ]
[ 11, 12, 9, 17 ]
[ "3/8", "id", "vinyl", "tubing" ]
[ 1, 2, 15, 9 ]
[ "cruelty", "free", "moisturizer", "face" ]
[ 17, 18, 9, 10 ]
[ "for", "him" ]
[ 13, 14 ]
[ "dual", "tip", "alcohol", "markers" ]
[ 17, 18, 15, 9 ]
[ "sink", "strainer" ]
[ 9, 10 ]
[ "motorcycle", "keychain" ]
[ 31, 9 ]
[ "mini", "figures" ]
[ 31, 9 ]
[ "versa", "fitbits" ]
[ 25, 11 ]
[ "4k", "gopro" ]
[ 17, 11 ]
[ "womans", "tricycle", "adult", "bike" ]
[ 13, 9, 13, 9 ]
[ "lace", "up", "shoes", "for", "women", "flats", "comfortable" ]
[ 31, 32, 9, 13, 14, 31, 17 ]
[ "sling", "backpack" ]
[ 31, 9 ]
[ "mini", "tassels", "gold" ]
[ 31, 9, 3 ]
[ "tree", "costume", "adult" ]
[ 31, 9, 13 ]
[ "john", "deere", "set" ]
[ 11, 12, 9 ]
[ "lg", "k20", "plus" ]
[ 11, 25, 26 ]
[ "feminization", "transformation" ]
[ 0, 0 ]
[ "boys", "robes", "size", "6-7" ]
[ 13, 9, 1, 2 ]
[ "super", "gumball", "toestop", "short" ]
[ 25, 26, 9, 10 ]
[ "joaquin", "phoenix", "joker", "poster" ]
[ 7, 8, 8, 9 ]
[ "golden", "sand", "oil" ]
[ 25, 26, 9 ]
[ "captain", "toad", "treasure", "tracker", "switch" ]
[ 7, 8, 8, 8, 25 ]
[ "college", "crewneck", "sweatshirt" ]
[ 7, 31, 9 ]
[ "avery", "white", "binder" ]
[ 11, 3, 9 ]
[ "ethernet", "splitter" ]
[ 9, 10 ]
[ "short", "green", "wig" ]
[ 31, 3, 9 ]
[ "halloween", "lamp", "decorations" ]
[ 19, 9, 17 ]
[ "fashion", "fair" ]
[ 11, 12 ]
[ "iphone", "11", "casemate", "case" ]
[ 25, 26, 11, 9 ]
[ "nike", "womens", "shoe", "9.5" ]
[ 11, 13, 9, 1 ]
[ "milk", "carton", "water", "bottles" ]
[ 31, 32, 9, 10 ]
[ "long", "high", "low", "shirts" ]
[ 1, 31, 32, 9 ]
[ "bed", "frame", "that", "requires", "a", "box", "spring" ]
[ 9, 10, 17, 18, 18, 18, 18 ]
[ "broadway", "dvd" ]
[ 7, 9 ]
[ "led", "spot", "lights", "outdoor" ]
[ 17, 9, 10, 17 ]
[ "lavento", "womens", "high", "waisted", "yoga", "shorts" ]
[ 11, 13, 31, 32, 9, 10 ]
[ "babyzen", "travel", "bag" ]
[ 11, 9, 10 ]
[ "mercedes", "slk", "350", "exterior", "accessories" ]
[ 17, 18, 18, 18, 9 ]
[ "custom", "iphone", "7\\8", "case" ]
[ 17, 25, 26, 9 ]
[ "hey", "dude", "womens" ]
[ 11, 12, 13 ]
[ "ram", "stick", "16", "gb" ]
[ 9, 10, 1, 2 ]
[ "products", "for", "newborns" ]
[ 9, 13, 14 ]
[ "dragon", "ball", "z", "clothes" ]
[ 7, 8, 8, 9 ]
[ "self", "tanner", "spray" ]
[ 9, 10, 10 ]
[ "ninja", "custom", "for", "boys" ]
[ 7, 9, 13, 14 ]
[ "laptop", "cooler" ]
[ 17, 9 ]
[ "kettlebells", "set" ]
[ 11, 9 ]