Datasets:
bltlab
/
queryner

Dataset card Data Studio Files Community
2
tokens
sequencelengths
2
12
ner_tags
sequencelengths
2
12
[ "xbox", "phone", "mount" ]
[ 25, 9, 10 ]
[ "starbucks", "pin" ]
[ 11, 9 ]
[ "sarenite", "crystal" ]
[ 15, 16 ]
[ "recess", "chalk" ]
[ 7, 8 ]
[ "clear", "coat", "repair" ]
[ 9, 10, 10 ]
[ "treasure", "chest", "mini" ]
[ 9, 10, 31 ]
[ "utility", "shelf", "cart" ]
[ 9, 10, 31 ]
[ "cheetah", "sarongs", "for", "women" ]
[ 3, 9, 13, 14 ]
[ "yellow", "pants", "for", "toddler" ]
[ 3, 9, 13, 14 ]
[ "graduation", "frame", "4x6" ]
[ 19, 9, 1 ]
[ "superhero", "movies" ]
[ 7, 9 ]
[ "2-3t", "boys", "underwear" ]
[ 1, 13, 9 ]
[ "iphone", "8", "case", "supreme" ]
[ 25, 26, 9, 7 ]
[ "a/c", "thermostats", "for", "home" ]
[ 9, 10, 17, 18 ]
[ "ponchos", "for", "women" ]
[ 9, 13, 14 ]
[ "black", "boho", "shirt", "plus", "size" ]
[ 3, 17, 9, 1, 2 ]
[ "white", "flats", "or", "ballet", "shoes" ]
[ 3, 9, 0, 9, 10 ]
[ "1lb", "propane", "fitting" ]
[ 1, 9, 10 ]
[ "ipad", "cover" ]
[ 25, 9 ]
[ "farmhouse", "bathroom", "rug" ]
[ 7, 9, 10 ]
[ "purple", "gowns", "formal", "dress", "for", "women" ]
[ 3, 9, 10, 10, 13, 14 ]
[ "hot", "rollers" ]
[ 0, 0 ]
[ "educational", "toys", "for", "1", "year", "olds" ]
[ 17, 9, 13, 14, 14, 14 ]
[ "corsette", "tops" ]
[ 31, 9 ]
[ "apple", "18", "watt", "charger" ]
[ 11, 1, 2, 9 ]
[ "western", "black", "and", "white", "wall", "art" ]
[ 17, 3, 0, 3, 9, 10 ]
[ "ps2", "dbz", "budokai", "tenkaichi", "3" ]
[ 25, 7, 8, 8, 8 ]
[ "jackie", "moon", "costume" ]
[ 7, 8, 9 ]
[ "pink", "hair", "chalk" ]
[ 3, 9, 10 ]
[ "red", "rosin", "paper" ]
[ 3, 9, 10 ]
[ "electric", "cord", "cover" ]
[ 17, 9, 10 ]
[ "outdoor", "furniture", "bistro", "sets" ]
[ 17, 9, 9, 10 ]
[ "dr", "seuss", "wall", "decals", "quotes" ]
[ 11, 12, 0, 0, 0 ]
[ "shirt", "white", "for", "women" ]
[ 9, 3, 13, 14 ]
[ "priobiotic", "for", "uti" ]
[ 9, 17, 18 ]
[ "sound", "bars", "with", "sub", "for", "tv" ]
[ 9, 10, 17, 18, 18, 18 ]
[ "colorful", "towel", "hooks", "for", "bathrooms" ]
[ 17, 9, 10, 17, 18 ]
[ "identifier", "holder" ]
[ 25, 26 ]
[ "womens", "santa", "costume" ]
[ 13, 7, 9 ]
[ "fertility", "monitor" ]
[ 9, 10 ]
[ "pet", "face", "shield" ]
[ 15, 9, 10 ]
[ "kids", "dinnerware", "sets" ]
[ 13, 9, 10 ]
[ "whirlpool", "refrigerstor", "filter" ]
[ 9, 10, 10 ]
[ "the", "little", "seagull", "handbook", "3rd", "edition" ]
[ 7, 8, 8, 9, 17, 18 ]
[ "music", "stand", "for", "keyboard" ]
[ 9, 10, 17, 18 ]
[ "sandpaper", "sheets" ]
[ 9, 10 ]
[ "macbook", "pro", "charger", "13", "in" ]
[ 25, 26, 9, 1, 2 ]
[ "soccer", "medals" ]
[ 17, 9 ]
[ "mag", "one", "bpr40", "earpiece" ]
[ 25, 26, 27, 9 ]
[ "women", "sexy", "toyes", "with", "remote" ]
[ 13, 17, 9, 17, 18 ]
[ "adidas", "shoes", "men", "15" ]
[ 11, 9, 13, 1 ]
[ "reading", "glasses" ]
[ 17, 9 ]
[ "emt", "gear" ]
[ 9, 10 ]
[ "small", "home", "projectors" ]
[ 1, 9, 10 ]
[ "moto", "g7", "power", "case" ]
[ 25, 26, 9, 10 ]
[ "john", "green" ]
[ 11, 12 ]
[ "pe", "design", "software" ]
[ 9, 10, 10 ]
[ "bands", "for", "weight", "lifting" ]
[ 9, 10, 10, 10 ]
[ "nail", "art", "kit" ]
[ 9, 10, 10 ]
[ "sticky", "yoga", "socks" ]
[ 17, 18, 9 ]
[ "tissot", "watches", "men" ]
[ 11, 9, 13 ]
[ "unifi", "ac" ]
[ 11, 25 ]
[ "logitech", "m535", "bluetooth", "mouse" ]
[ 11, 25, 17, 9 ]
[ "co", "sleeper", "for", "baby", "bedside" ]
[ 9, 10, 13, 14, 17 ]
[ "print", "then", "cut", "vinyl", "cricut" ]
[ 17, 18, 18, 9, 10 ]
[ "sink", "faucet" ]
[ 9, 10 ]
[ "blackout", "curtains", "for", "bedroom" ]
[ 17, 9, 17, 18 ]
[ "korean", "marshmallow" ]
[ 21, 9 ]
[ "froth", "pak", "210" ]
[ 25, 26, 26 ]
[ "womens", "fall", "tops" ]
[ 13, 19, 9 ]
[ "chef", "pants" ]
[ 9, 10 ]
[ "dealcoholized", "wine" ]
[ 17, 9 ]
[ "exhaust", "system" ]
[ 9, 10 ]
[ "snore", "stopper" ]
[ 9, 10 ]
[ "mary", "kay", "lipstick", "crushed", "berry" ]
[ 11, 12, 9, 25, 26 ]
[ "infant", "wolf", "costume" ]
[ 13, 7, 9 ]
[ "ramps", "for", "lawn", "mowers" ]
[ 9, 17, 18, 18 ]
[ "briggs", "and", "stratton", "parts" ]
[ 11, 12, 12, 9 ]
[ "fortnite", "drift", "costume" ]
[ 7, 8, 9 ]
[ "blessed", "mother", "outdoor", "statue" ]
[ 7, 8, 9, 10 ]
[ "mugs", "llama" ]
[ 9, 7 ]
[ "twin", "tub", "washer", "and", "spin", "dryer" ]
[ 31, 32, 9, 10, 10, 10 ]
[ "mens", "reebok", "tennis", "shoes" ]
[ 13, 11, 9, 10 ]
[ "foods", "that", "built", "america" ]
[ 7, 8, 8, 8 ]
[ "tv", "cardboard", "box" ]
[ 17, 9, 10 ]
[ "real", "simple", "3", "in", "1", "charging" ]
[ 25, 26, 17, 18, 18, 9 ]
[ "frame", "and", "box", "spring", "full" ]
[ 9, 10, 10, 10, 31 ]
[ "fireball", "mirror", "sign" ]
[ 7, 9, 10 ]
[ "onion", "rings" ]
[ 9, 10 ]
[ "woks", "and", "stir", "fry", "pans" ]
[ 17, 18, 18, 9, 10 ]
[ "chicco", "bravo", "trio", "travel", "system" ]
[ 11, 25, 26, 26, 26 ]
[ "trailer", "light" ]
[ 9, 10 ]
[ "todays", "homeowner", "with", "danny", "lipford" ]
[ 7, 8, 8, 8, 8 ]
[ "japanese", "lingerie", "leather" ]
[ 21, 9, 15 ]
[ "footjoy", "spikeless", "golf", "shoes", "for", "men" ]
[ 11, 31, 19, 9, 13, 14 ]
[ "david", "archuleta", "music" ]
[ 11, 12, 9 ]
[ "first", "aid", "kit" ]
[ 9, 10, 10 ]
[ "best", "magnetic", "knife", "rack" ]
[ 0, 17, 9, 10 ]
[ "ruby", "glasses", "palstic" ]
[ 3, 9, 15 ]
[ "couples", "shirts", "for", "him", "and", "her" ]
[ 17, 9, 13, 14, 14, 14 ]