Datasets:
bltlab
/
queryner

Dataset card Data Studio Files Community
2
tokens
sequencelengths
2
12
ner_tags
sequencelengths
2
12
[ "goosebumps", "toys" ]
[ 7, 9 ]
[ "swaddleme", "wrap", "sack", "size", "large" ]
[ 25, 9, 10, 1, 2 ]
[ "boutique", "clothing", "for", "women" ]
[ 17, 9, 13, 14 ]
[ "night", "vision", "camera", "for", "android" ]
[ 9, 10, 10, 17, 18 ]
[ "unifi", "g3" ]
[ 25, 26 ]
[ "ssd", "500gb" ]
[ 9, 1 ]
[ "checkbook", "covers", "for", "personal", "checkbook" ]
[ 9, 10, 17, 18, 18 ]
[ "shaping", "swimsuits", "for", "women" ]
[ 31, 9, 13, 14 ]
[ "traditional", "old", "world" ]
[ 17, 25, 26 ]
[ "snap", "on" ]
[ 11, 12 ]
[ "small", "doll", "clothes" ]
[ 1, 9, 10 ]
[ "hey", "dudes", "kods", "shoes" ]
[ 9, 10, 11, 9 ]
[ "full", "size", "crib" ]
[ 1, 2, 9 ]
[ "michigan", "state", "tshirt" ]
[ 7, 8, 9 ]
[ "crayons", "big", "pack" ]
[ 9, 31, 17 ]
[ "chicco", "baby", "playyard" ]
[ 11, 9, 10 ]
[ "no", "drill", "grab", "bars" ]
[ 17, 18, 9, 10 ]
[ "long", "sleeve", "shirts", "warm" ]
[ 31, 32, 9, 17 ]
[ "clear", "clothing", "organizer" ]
[ 3, 17, 9 ]
[ "purell", "hand", "sanitizer", "travel", "size" ]
[ 11, 9, 10, 1, 2 ]
[ "best", "induction", "cookware", "sets" ]
[ 0, 9, 10, 10 ]
[ "ipad", "pro", "12.9", "screen", "protector", "3rd", "generation" ]
[ 25, 26, 1, 9, 10, 25, 26 ]
[ "coil", "pack", "tester" ]
[ 9, 10, 10 ]
[ "blanket", "organic" ]
[ 9, 17 ]
[ "5/16", "transport", "chain" ]
[ 1, 9, 10 ]
[ "arlo", "3" ]
[ 11, 25 ]
[ "xxx", "mature", "manga" ]
[ 17, 18, 9 ]
[ "psoriasis", "coal", "tar" ]
[ 0, 0, 0 ]
[ "10kpendant", "settings", "without", "stones" ]
[ 0, 0, 5, 6 ]
[ "halloween", "web", "gun" ]
[ 19, 9, 10 ]
[ "perfumes", "men", "channel" ]
[ 9, 13, 11 ]
[ "working", "with", "winston" ]
[ 7, 8, 8 ]
[ "tumbleweed", "tiny", "house" ]
[ 11, 12, 12 ]
[ "baby", "yoda", "blanket" ]
[ 7, 8, 9 ]
[ "samsung", "galaxy", "s7", "active" ]
[ 11, 25, 26, 17 ]
[ "reisport", "ring", "grips" ]
[ 11, 9, 10 ]
[ "ugly", "sweaters", "for", "women" ]
[ 17, 9, 13, 14 ]
[ "fairy", "house", "kit" ]
[ 9, 10, 10 ]
[ "titan", "clips" ]
[ 25, 26 ]
[ "red", "ribbon", "belts", "for", "women" ]
[ 3, 9, 10, 13, 14 ]
[ "setup", "table" ]
[ 17, 9 ]
[ "artist", "apron", "kids" ]
[ 17, 9, 13 ]
[ "outdoor", "edge", "swingblade" ]
[ 11, 12, 25 ]
[ "rimmel", "french", "rose", "nail", "polish" ]
[ 11, 25, 26, 9, 10 ]
[ "3/8", "grosgrain", "ribbon" ]
[ 1, 15, 9 ]
[ "iphone", "xr", "fuzzy", "cases" ]
[ 25, 26, 31, 9 ]
[ "1", "cc", "syringes", "without", "needle" ]
[ 1, 2, 9, 5, 6 ]
[ "portable", "hanging", "fan" ]
[ 17, 31, 9 ]
[ "doctors", "best", "sam-e", "400mg" ]
[ 11, 12, 9, 1 ]
[ "graduation", "bear", "bobblehead" ]
[ 19, 9, 10 ]
[ "girls", "sneekers" ]
[ 13, 9 ]
[ "bronze", "cabinet", "knob" ]
[ 15, 9, 10 ]
[ "shower", "rings" ]
[ 9, 10 ]
[ "3", "pong", "adapter" ]
[ 17, 18, 9 ]
[ "leather", "arm", "harness", "men" ]
[ 15, 9, 10, 13 ]
[ "crocks", "shoes", "big", "kids" ]
[ 11, 9, 13, 14 ]
[ "lone", "wolf", "climbing", "tree", "stands" ]
[ 11, 12, 9, 10, 10 ]
[ "breakroom", "organization" ]
[ 17, 9 ]
[ "snow", "plow", "shoe" ]
[ 9, 10, 10 ]
[ "espresso", "maker" ]
[ 9, 10 ]
[ "honeycomb", "mouse", "and", "keyboard", "combo" ]
[ 17, 9, 10, 10, 10 ]
[ "intict", "grain", "free" ]
[ 11, 17, 18 ]
[ "jeep", "power", "wheels" ]
[ 17, 25, 26 ]
[ "key", "holder", "for", "wall", "giants" ]
[ 9, 10, 17, 18, 18 ]
[ "large", "lined", "journal" ]
[ 1, 17, 9 ]
[ "sonic", "coloring" ]
[ 7, 9 ]
[ "golden", "retriever", "pet" ]
[ 0, 0, 0 ]
[ "luckysoul", "-", "chordbuddy", "guitar", "learning", "system" ]
[ 11, 0, 25, 9, 10, 10 ]
[ "rear", "spare", "tire", "cover", "fog", "lamp", "light", "for", "mitsubishi", "pajero" ]
[ 17, 18, 18, 18, 18, 9, 10, 17, 18, 18 ]
[ "boss", "plow", "electric", "connection" ]
[ 11, 12, 9, 10 ]
[ "mens", "swimming", "tank", "tops" ]
[ 13, 9, 10, 21 ]
[ "space", "jam", "party", "decorations" ]
[ 7, 8, 9, 10 ]
[ "infant", "detroit", "lion", "hat" ]
[ 13, 7, 8, 9 ]
[ "peanut", "m&m", "1.69" ]
[ 9, 11, 1 ]
[ "kimberly", "bay", "screen", "door" ]
[ 11, 12, 9, 10 ]
[ "kids", "chair" ]
[ 13, 9 ]
[ "short", "t", "shirts", "for", "men" ]
[ 31, 9, 10, 13, 14 ]
[ "small", "dog", "puzzle", "bowl" ]
[ 1, 9, 10, 10 ]
[ "coffee", "table", "base" ]
[ 9, 10, 10 ]
[ "christmas", "tree", "button", "switch" ]
[ 9, 10, 9, 9 ]
[ "das", "gesunde", "plus" ]
[ 25, 26, 26 ]
[ "trx4", "shock", "tower", "kyx" ]
[ 25, 9, 10, 11 ]
[ "fine", "point", "pen" ]
[ 9, 10, 10 ]
[ "rose", "gold", "office", "supplies" ]
[ 3, 4, 9, 10 ]
[ "flip", "a", "zoo", "mini", "figures" ]
[ 7, 8, 8, 31, 9 ]
[ "2x", "linen", "shorts", "mens" ]
[ 29, 15, 9, 13 ]
[ "computer", "chair", "kids" ]
[ 9, 10, 13 ]
[ "adidas", "indoor", "soccer", "shoes", "predator" ]
[ 11, 17, 9, 10, 25 ]
[ "teen", "fall", "clothes" ]
[ 13, 19, 9 ]
[ "headrest", "covers", "for", "cars" ]
[ 9, 10, 17, 18 ]
[ "power", "supply", "for", "wd", "external", "hard", "drive" ]
[ 9, 10, 17, 18, 18, 18, 18 ]
[ "cold", "gear", "boys", "shirt" ]
[ 25, 26, 13, 9 ]
[ "cloth", "organizer", "blue" ]
[ 17, 18, 3 ]
[ "febreze", "pet", "odor", "defense", "2x", "fresh", "scent" ]
[ 11, 25, 26, 26, 29, 17, 18 ]
[ "jewelry", "sterling", "silver", "wire", "20", "gauge" ]
[ 17, 9, 15, 17, 1, 2 ]
[ "pentel", "color", "brush", "pen" ]
[ 11, 17, 9, 10 ]
[ "celery", "pills" ]
[ 9, 10 ]
[ "circle", "vase", "for", "flowers" ]
[ 31, 9, 17, 18 ]
[ "fot", "bit", "charge", "2", "band" ]
[ 17, 18, 18, 18, 9 ]
[ "deadpool", "tshirts", "for", "men" ]
[ 7, 9, 13, 14 ]