Datasets:
bltlab
/
queryner

Dataset card Data Studio Files Community
2
tokens
sequencelengths
2
12
ner_tags
sequencelengths
2
12
[ "calcium", "citrate", "400", "mg", "+", "d3", "vitamin", "d" ]
[ 9, 10, 1, 2, 0, 9, 10, 10 ]
[ "100ml", "large", "syringes", "without", "needle" ]
[ 1, 1, 9, 5, 6 ]
[ "bows", "for", "girls" ]
[ 9, 13, 14 ]
[ "twin", "daybed", "bedding", "sets" ]
[ 17, 18, 9, 10 ]
[ "suede", "cleaner", "for", "shoes" ]
[ 9, 10, 17, 18 ]
[ "toshiba", "chromebook" ]
[ 11, 9 ]
[ "colored", "tank", "tops", "for", "men", "fruit", "of", "the", "loom" ]
[ 17, 9, 10, 13, 14, 11, 12, 12, 12 ]
[ "leather", "gloves" ]
[ 15, 9 ]
[ "colored", "flatware", "sets" ]
[ 17, 9, 10 ]
[ "glorious", "mousepad" ]
[ 11, 9 ]
[ "lazy", "susan", "turntable" ]
[ 9, 10, 17 ]
[ "lap", "gear" ]
[ 25, 26 ]
[ "boho", "floating", "shelves" ]
[ 5, 9, 10 ]
[ "hocus", "pocus", "cape", "for", "women" ]
[ 7, 8, 9, 13, 14 ]
[ "air", "fryer", "lazy", "susab" ]
[ 9, 10, 17, 18 ]
[ "cleaning", "gloves" ]
[ 9, 10 ]
[ "milwaukee", "mid", "torque", "1/2", "impact" ]
[ 11, 17, 18, 1, 9 ]
[ "valvoline", "premium", "blue", "extreme", "5w40" ]
[ 11, 25, 26, 26, 26 ]
[ "iphone", "11", "wireless", "charger" ]
[ 25, 26, 9, 10 ]
[ "pellet", "smoker" ]
[ 9, 10 ]
[ "small", "table", "lamps" ]
[ 1, 9, 10 ]
[ "cj5", "door" ]
[ 25, 9 ]
[ "canon", "g7x" ]
[ 11, 25 ]
[ "square", "hand", "held", "shower" ]
[ 31, 17, 18, 9 ]
[ "maroon", "slacks" ]
[ 3, 9 ]
[ "earrings", "swarovsky" ]
[ 9, 15 ]
[ "tribesigns", "white", "bookshelf" ]
[ 11, 3, 9 ]
[ "scribbles", "that", "matter" ]
[ 7, 8, 8 ]
[ "360", "lace", "front", "closure" ]
[ 25, 9, 10, 10 ]
[ "chain", "degreaser", "for", "bicycle" ]
[ 9, 17, 18, 18 ]
[ "how", "to", "train", "your", "dragon", "the", "hidden", "world" ]
[ 7, 8, 8, 8, 8, 8, 8, 8 ]
[ "old", "school", "nike", "air", "force", "shoes" ]
[ 17, 18, 11, 25, 26, 9 ]
[ "me456", "a4", "led", "light", "box", "9x12", "inch", "light", "pad" ]
[ 25, 1, 9, 10, 10, 1, 2, 9, 10 ]
[ "rule", "of", "three", "series" ]
[ 7, 8, 8, 9 ]
[ "goodr", "glasses", "women" ]
[ 11, 9, 13 ]
[ "bed", "table" ]
[ 9, 10 ]
[ "hydro", "flask", "flip", "lid", "cap" ]
[ 11, 12, 17, 18, 9 ]
[ "gluten", "free", "dumpling", "wrappers" ]
[ 0, 0, 0, 0 ]
[ "taking", "her", "innocence" ]
[ 7, 8, 8 ]
[ "cup", "handles", "for", "30", "ounce", "tumblers" ]
[ 9, 10, 1, 2, 2, 17 ]
[ "f150", "tailgateplug" ]
[ 25, 9 ]
[ "coleman", "pants", "fleece", "lined" ]
[ 11, 9, 17, 18 ]
[ "portable", "toilet", "for", "camping" ]
[ 9, 10, 17, 18 ]
[ "converse", "shoes", "for", "women", "pink" ]
[ 11, 9, 13, 14, 3 ]
[ "litter", "box", "dome" ]
[ 9, 10, 31 ]
[ "ge", "led", "flood" ]
[ 11, 25, 26 ]
[ "fishing", "pole", "ground", "holder" ]
[ 9, 10, 10, 10 ]
[ "4", "color", "printing", "press" ]
[ 17, 18, 9, 10 ]
[ "oakley", "sunglasses", "for", "men" ]
[ 11, 9, 13, 14 ]
[ "vegetable", "oil" ]
[ 9, 10 ]
[ "ugly", "christmas", "sweater", "for", "women", "with", "words" ]
[ 17, 19, 9, 13, 14, 17, 18 ]
[ "edible", "ink", "for", "cannon", "pixma", "ts702" ]
[ 9, 10, 17, 18, 25, 27 ]
[ "kavu", "bag", "clearance" ]
[ 11, 9, 17 ]
[ "cool", "gifts", "for", "women" ]
[ 17, 9, 13, 14 ]
[ "mouse", "for", "laptop" ]
[ 9, 17, 18 ]
[ "silk", "two", "piece", "skirt", "outfit", "for", "women" ]
[ 15, 17, 18, 9, 10, 13, 14 ]
[ "dog", "diapers", "male", "xlarge", "disposable" ]
[ 9, 10, 17, 1, 17 ]
[ "fishnet", "stockings", "men" ]
[ 17, 9, 13 ]
[ "cold", "water", "knee", "therapy", "system" ]
[ 0, 0, 0, 0, 0 ]
[ "thermostat", "digital" ]
[ 9, 17 ]
[ "books", "for", "4", "year", "olds" ]
[ 9, 13, 14, 14, 14 ]
[ "tv", "wifi", "remote" ]
[ 9, 17, 9 ]
[ "h10", "yellow", "led" ]
[ 1, 3, 9 ]
[ "men", "athletic", "dress", "shirt" ]
[ 13, 17, 9, 10 ]
[ "prom", "dresses", "under", "30", "dollars" ]
[ 19, 9, 23, 24, 24 ]
[ "mental", "health" ]
[ 0, 0 ]
[ "ssd", "sata", "renewed" ]
[ 9, 10, 5 ]
[ "infant", "spongebob", "costume" ]
[ 13, 7, 9 ]
[ "icon", "radio" ]
[ 0, 0 ]
[ "humorous", "gifts" ]
[ 17, 9 ]
[ "gore", "bike", "wear" ]
[ 11, 9, 10 ]
[ "multifunctional", "car", "seat", "organizer" ]
[ 17, 9, 10, 10 ]
[ "heated", "vests", "for", "men" ]
[ 17, 9, 13, 14 ]
[ "throw", "rugs", "bedroom" ]
[ 9, 10, 17 ]
[ "mickey", "mouse", "clothes", "for", "women" ]
[ 7, 8, 9, 13, 14 ]
[ "pocket", "diaper", "holiday" ]
[ 9, 10, 19 ]
[ "wind", "up", "tub", "toys" ]
[ 17, 18, 9, 10 ]
[ "ipilot", "trolling", "motor", "saltwater" ]
[ 17, 9, 10, 10 ]
[ "showerheads", "with", "handheld", "shower", "high", "pressure" ]
[ 9, 17, 18, 15, 16, 16 ]
[ "phone", "charger", "battery", "pack", "portable" ]
[ 9, 10, 9, 10, 17 ]
[ "tee", "shirt", "christmas" ]
[ 9, 10, 19 ]
[ "plus", "size", "curvy", "jeans" ]
[ 1, 2, 31, 9 ]
[ "tandem", "ugly", "christmas", "sweater" ]
[ 31, 17, 19, 9 ]
[ "station", "eleven" ]
[ 7, 8 ]
[ "unicorn", "poster" ]
[ 7, 9 ]
[ "earrings", "for", "women", "glass" ]
[ 9, 13, 14, 15 ]
[ "woodland", "christmas", "table", "runner" ]
[ 7, 19, 9, 10 ]
[ "birthday", "decorations", "18" ]
[ 19, 9, 19 ]
[ "soft", "pink", "blanket" ]
[ 17, 3, 9 ]
[ "airpod", "refurbished", "apple" ]
[ 25, 5, 11 ]
[ "meth", "bumper", "sticker" ]
[ 7, 9, 10 ]
[ "camping", "lantern" ]
[ 19, 9 ]
[ "cycling", "shoes", "without", "cleats" ]
[ 9, 10, 31, 32 ]
[ "greenbay", "packer", "tatoo" ]
[ 7, 8, 9 ]
[ "ibiyaya", "doggie", "stroller", "lite" ]
[ 11, 9, 10, 17 ]
[ "beer", "shirt" ]
[ 7, 9 ]
[ "apple", "watch", "band", "holder", "case", "in", "leather" ]
[ 11, 25, 9, 10, 10, 15, 16 ]
[ "digitrax", "dcc" ]
[ 11, 25 ]
[ "kids", "mike", "myers", "mask" ]
[ 13, 7, 8, 9 ]
[ "lockers", "decoration" ]
[ 9, 10 ]