Datasets:
bltlab
/
queryner

Dataset card Data Studio Files Community
2
tokens
sequencelengths
2
12
ner_tags
sequencelengths
2
12
[ "tasting", "spoons", "biodegradable" ]
[ 9, 10, 17 ]
[ "sweetnight", "king", "mattress" ]
[ 11, 31, 9 ]
[ "circuit", "board", "soldering", "kit" ]
[ 9, 10, 10, 10 ]
[ "art", "prints", "minimalist" ]
[ 9, 10, 17 ]
[ "olaf", "toddler", "costume" ]
[ 7, 13, 9 ]
[ "red", "and", "white", "nike", "shoes", "women" ]
[ 3, 0, 3, 11, 9, 13 ]
[ "1-2-3", "blocks", "without", "holes" ]
[ 7, 9, 31, 32 ]
[ "satin", "sheets", "dark", "green" ]
[ 15, 9, 3, 4 ]
[ "purple", "dress", "teen" ]
[ 3, 9, 13 ]
[ "cardio", "drumming", "equipment" ]
[ 17, 18, 9 ]
[ "ladies", "9", "wood", "golf", "club" ]
[ 13, 1, 15, 9, 10 ]
[ "laker", "hoodie" ]
[ 7, 9 ]
[ "wheel", "cleaner" ]
[ 9, 10 ]
[ "earbuds", "redmi" ]
[ 9, 11 ]
[ "air", "hogs" ]
[ 25, 26 ]
[ "black", "childs", "cowboy", "hat" ]
[ 3, 13, 17, 9 ]
[ "hidiz", "ap80" ]
[ 11, 25 ]
[ "kids", "dress", "up", "clothes" ]
[ 13, 0, 0, 9 ]
[ "white", "tablecloth", "6", "foot" ]
[ 3, 9, 1, 2 ]
[ "haven", "dvd" ]
[ 7, 9 ]
[ "lysol", "brand", "crisp", "linen", "scent", "disinfectant", "spray" ]
[ 11, 12, 25, 26, 26, 9, 10 ]
[ "puzzle", "sorting", "trays" ]
[ 17, 9, 10 ]
[ "knee", "high", "navy", "boots" ]
[ 31, 32, 3, 9 ]
[ "100%", "egyptian", "cotton", "sheets", "without", "sateen", "weave" ]
[ 15, 16, 16, 9, 17, 18, 18 ]
[ "ninja", "turtle", "tshirt" ]
[ 7, 8, 9 ]
[ "zac", "posen", "handbags" ]
[ 9, 10, 10 ]
[ "safe", "fireproof", "waterproof" ]
[ 9, 17, 18 ]
[ "prime", "day", "bible" ]
[ 19, 20, 9 ]
[ "pink", "desserts" ]
[ 3, 9 ]
[ "upholstered", "bench", "with", "storage" ]
[ 9, 10, 17, 18 ]
[ "external", "wifi", "card" ]
[ 17, 18, 9 ]
[ "6", "cameras", "all", "in", "one", "wired", "security", "systems" ]
[ 29, 30, 17, 18, 18, 17, 9, 10 ]
[ "led", "conference", "call", "light" ]
[ 9, 19, 20, 9 ]
[ "leather", "collar", "moon" ]
[ 15, 9, 17 ]
[ "baby", "finger", "food", "storage", "container" ]
[ 13, 17, 18, 9, 10 ]
[ "2xl", "tall", "man", "shirt" ]
[ 1, 1, 13, 9 ]
[ "cut", "and", "run", "series" ]
[ 7, 8, 8, 9 ]
[ "25", "pieces", "10ml", "empty", "eyelash", "mascara", "tubes" ]
[ 29, 30, 1, 5, 9, 10, 10 ]
[ "18x18", "fall", "pillow", "covers", "set", "of", "4" ]
[ 1, 19, 9, 10, 29, 30, 30 ]
[ "nordic", "ware", "natural", "aluminum", "commercial", "baker's" ]
[ 11, 12, 25, 15, 9, 10 ]
[ "generators", "portable" ]
[ 9, 10 ]
[ "mens", "ankle", "socks", "size", "9-11" ]
[ 13, 9, 10, 1, 2 ]
[ "pork", "rinds", "breadcrumbs" ]
[ 17, 18, 9 ]
[ "mens", "briefcase" ]
[ 13, 9 ]
[ "wired", "earbuds" ]
[ 17, 9 ]
[ "do", "not", "worry", "about", "anything" ]
[ 7, 8, 8, 8, 8 ]
[ "charisma", "blanket" ]
[ 25, 9 ]
[ "the", "grim", "adventures", "of", "billy", "&", "mandy" ]
[ 7, 8, 8, 8, 8, 8, 8 ]
[ "bathtub", "table", "tray", "for", "adults" ]
[ 17, 9, 10, 13, 14 ]
[ "campbell", "posture", "cane" ]
[ 11, 9, 10 ]
[ "cousin", "joe" ]
[ 11, 12 ]
[ "car", "trunk", "organizer" ]
[ 17, 18, 9 ]
[ "succulent", "plants", "artificial" ]
[ 17, 9, 10 ]
[ "popsicle", "molds" ]
[ 9, 10 ]
[ "hamburger", "patty", "maker" ]
[ 9, 10, 10 ]
[ "beads", "sea", "glass", "seed", "beads" ]
[ 9, 10, 10, 10, 10 ]
[ "not", "my", "circus", "not", "my", "monkeys", "t-shirt" ]
[ 7, 8, 8, 8, 8, 8, 9 ]
[ "we'll", "miss", "you", "decorations" ]
[ 7, 8, 8, 9 ]
[ "4/3", "micro", "fisheye", "olympus" ]
[ 17, 18, 17, 11 ]
[ "no", "chip", "clear", "nail", "polish", "top", "coat" ]
[ 25, 26, 3, 9, 10, 17, 18 ]
[ "cat", "food" ]
[ 9, 10 ]
[ "brown", "belt", "without", "buckle" ]
[ 3, 9, 5, 6 ]
[ "iphone", "x", "headphone", "adapter" ]
[ 25, 26, 9, 10 ]
[ "oil", "rubbed", "bronze", "tub", "faucet", "without", "diverter" ]
[ 17, 18, 3, 9, 10, 5, 6 ]
[ "first", "aid", "kit", "home" ]
[ 9, 10, 10, 17 ]
[ "full", "grain", "buffalo", "leather", "56", "belt", "strap" ]
[ 25, 26, 15, 16, 1, 9, 10 ]
[ "firestickstick", "4k" ]
[ 25, 17 ]
[ "project", "source", "bathroom", "faucet" ]
[ 25, 26, 9, 10 ]
[ "1.5", "inwide", "gold", "ribbon", "without", "wire" ]
[ 1, 0, 3, 9, 5, 6 ]
[ "shrugs", "for", "women", "3/4", "sleeve" ]
[ 9, 13, 14, 31, 32 ]
[ "custom", "name", "necklace", "personalized", "name", "necklace", "18k" ]
[ 17, 31, 9, 17, 31, 9, 15 ]
[ "macbook", "charge", "cable", "mfi" ]
[ 25, 9, 10, 17 ]
[ "wag", "dog", "food" ]
[ 11, 9, 10 ]
[ "to", "kill", "a", "mockingbird", "graphic", "novel" ]
[ 7, 8, 8, 8, 9, 10 ]
[ "door", "security", "bar", "sliding" ]
[ 9, 10, 10, 10 ]
[ "maternity", "overalls" ]
[ 9, 10 ]
[ "western", "charms", "bulk" ]
[ 17, 9, 29 ]
[ "flex", "hones" ]
[ 11, 12 ]
[ "23andme", "test" ]
[ 11, 9 ]
[ "brown", "mens", "apple", "watch", "band" ]
[ 3, 13, 11, 25, 9 ]
[ "fuck", "off", "slipper" ]
[ 25, 26, 9 ]
[ "the", "nutcracker", "props" ]
[ 7, 8, 9 ]
[ "free", "standing", "lighted", "mirror" ]
[ 17, 18, 17, 9 ]
[ "sport", "bras", "for", "women", "adidas" ]
[ 9, 10, 13, 14, 11 ]
[ "desk", "pads", "on", "top", "of", "desks", "clear" ]
[ 9, 10, 17, 18, 18, 18, 3 ]
[ "leopard", "print", "women", "ballet", "shoes" ]
[ 3, 4, 13, 9, 10 ]
[ "brown", "booties", "women", "ankle", "boots" ]
[ 3, 9, 13, 31, 32 ]
[ "red", "athletic", "shorts", "women" ]
[ 3, 9, 10, 13 ]
[ "bento", "box", "adult" ]
[ 9, 10, 13 ]
[ "the", "night", "fire", "michael", "connelly" ]
[ 7, 8, 8, 11, 12 ]
[ "amika", "velveteen", "shampoo" ]
[ 11, 25, 9 ]
[ "dyson", "air", "purifier" ]
[ 11, 9, 10 ]
[ "latex", "gloves", "disposable" ]
[ 15, 9, 17 ]
[ "car", "seat", "compatible", "stroller" ]
[ 17, 18, 18, 9 ]
[ "real", "cukky", "doll" ]
[ 17, 7, 9 ]
[ "magnetic", "drawing", "board", "for", "kids" ]
[ 17, 9, 10, 13, 14 ]
[ "mattress", "protector", "full" ]
[ 9, 10, 31 ]
[ "sketchers", "womens", "slip", "on", "sneakers" ]
[ 11, 13, 17, 18, 9 ]
[ "active", "dual", "link", "dvi", "to", "displayport" ]
[ 17, 18, 18, 9, 10, 10 ]
[ "fluffy", "bathroom", "rugs" ]
[ 31, 17, 9 ]