Datasets:
bltlab
/
queryner

Dataset card Data Studio Files Community
2
tokens
sequencelengths
2
12
ner_tags
sequencelengths
2
12
[ "orange", "ink", "refill" ]
[ 3, 9, 10 ]
[ "shoe", "s" ]
[ 9, 10 ]
[ "loaf", "pan" ]
[ 9, 10 ]
[ "3m", "particulate", "filters" ]
[ 11, 17, 9 ]
[ "curvy", "high", "waisted", "shorts" ]
[ 9, 10, 10, 10 ]
[ "recieving", "blankets", "for", "boys" ]
[ 9, 10, 13, 14 ]
[ "champion", "woman", "shirt" ]
[ 11, 13, 9 ]
[ "leather", "elegant", "bar", "stools" ]
[ 15, 17, 9, 10 ]
[ "nun", "girls", "costume" ]
[ 17, 13, 9 ]
[ "fila", "neutral", "cleaner" ]
[ 11, 9, 10 ]
[ "tea", "bag", "squeezer" ]
[ 9, 10, 10 ]
[ "clear", "nose", "rings", "for", "work" ]
[ 3, 9, 10, 19, 20 ]
[ "ice", "makers", "under", "counter" ]
[ 9, 10, 0, 0 ]
[ "fish", "oil", "without", "soy" ]
[ 9, 10, 17, 18 ]
[ "start", "switch", "stop" ]
[ 9, 10, 10 ]
[ "mo2", "thermal", "printer" ]
[ 25, 9, 10 ]
[ "back", "to", "smith", "mountain", "lake" ]
[ 7, 8, 8, 8, 8 ]
[ "boys", "wallets", "for", "teens" ]
[ 13, 9, 13, 14 ]
[ "3lb", "dumbellsweights" ]
[ 1, 9 ]
[ "kwikset", "smart", "lock", "front", "door", "locksets", "with", "deadbolt" ]
[ 11, 9, 10, 17, 18, 9, 17, 18 ]
[ "shave", "cream" ]
[ 9, 10 ]
[ "billfolds", "for", "men" ]
[ 9, 13, 14 ]
[ "metallic", "fabric" ]
[ 15, 16 ]
[ "avent", "baby", "bottles" ]
[ 11, 9, 10 ]
[ "native", "american", "hoodies", "for", "women" ]
[ 17, 18, 9, 13, 14 ]
[ "friday", "the", "13th", "dvd" ]
[ 7, 8, 8, 9 ]
[ "slr", "bag" ]
[ 9, 10 ]
[ "christams", "tree", "stand" ]
[ 9, 10, 10 ]
[ "the", "gray", "barn", "book", "case" ]
[ 25, 26, 26, 9, 10 ]
[ "clear", "mk", "tote" ]
[ 3, 11, 9 ]
[ "keyboard", "for", "ipad", "pro" ]
[ 9, 0, 25, 26 ]
[ "tag", "huer", "watch", "men" ]
[ 11, 12, 9, 13 ]
[ "free", "kindle", "billonaire", "romance" ]
[ 23, 25, 7, 8 ]
[ "2-way", "radios", "long", "range" ]
[ 17, 9, 17, 18 ]
[ "rubbermaid", "storage", "containers" ]
[ 11, 9, 10 ]
[ "outdoor", "kid", "games" ]
[ 17, 13, 9 ]
[ "shelves", "without", "screws" ]
[ 9, 17, 18 ]
[ "paint", "roller", "covers" ]
[ 9, 10, 10 ]
[ "that's", "not", "what", "i", "meant" ]
[ 7, 8, 8, 8, 8 ]
[ "fertilaid", "for", "women" ]
[ 11, 13, 14 ]
[ "glass", "repair", "kit" ]
[ 9, 10, 10 ]
[ "pout", "pout", "fish", "toy" ]
[ 25, 26, 31, 9 ]
[ "star", "wars", "shirt" ]
[ 7, 8, 9 ]
[ "grazing", "board" ]
[ 9, 10 ]
[ "garmin", "edge", "130" ]
[ 11, 25, 26 ]
[ "battery", "cables", "2", "gauge" ]
[ 9, 10, 1, 2 ]
[ "quicksand", "cat", "iphone11", "case" ]
[ 17, 7, 25, 9 ]
[ "crossbody", "western", "fringe", "purse" ]
[ 17, 17, 9, 10 ]
[ "fertility", "tea", "pink", "stork" ]
[ 0, 25, 26, 26 ]
[ "facbric", "paint", "denim" ]
[ 9, 10, 17 ]
[ "battery", "isolator", "solenoid" ]
[ 9, 10, 17 ]
[ "pot", "saucer" ]
[ 9, 10 ]
[ "shrek", "mask", "adult" ]
[ 7, 9, 13 ]
[ "metal", "toothpicks", "for", "appetizers" ]
[ 15, 9, 17, 18 ]
[ "nalgene", "splashguard", "wide", "mouth" ]
[ 25, 9, 31, 32 ]
[ "20", "womens", "jeans", "elastic", "waist" ]
[ 1, 13, 9, 17, 18 ]
[ "acer", "chromebook", "r", "11", "convertible", "laptop", "cover" ]
[ 11, 25, 26, 26, 26, 9, 10 ]
[ "vita", "liberata", "self", "tanner" ]
[ 11, 12, 9, 10 ]
[ "dowel", "2", "inch" ]
[ 9, 1, 2 ]
[ "ethique", "perfector" ]
[ 11, 25 ]
[ "medieval", "high", "low", "skirt" ]
[ 33, 31, 32, 9 ]
[ "slight", "turtleneck", "sweater", "women" ]
[ 9, 10, 10, 13 ]
[ "ohio", "state", "buckeyes" ]
[ 11, 12, 12 ]
[ "infant", "jackets", "for", "girls" ]
[ 13, 9, 13, 14 ]
[ "230-lbs", "weight", "base" ]
[ 1, 2, 9 ]
[ "american", "horror", "story", "t", "shirt" ]
[ 7, 8, 8, 9, 10 ]
[ "girls", "underwear", "size", "10" ]
[ 13, 9, 1, 2 ]
[ "cable", "concealer" ]
[ 9, 10 ]
[ "snowboard", "goggles", "men" ]
[ 9, 10, 13 ]
[ "security", "+", "mike", "meyers" ]
[ 7, 8, 11, 12 ]
[ "ace", "of", "spades", "hoodie" ]
[ 7, 8, 8, 9 ]
[ "games", "for", "kids", "ages", "4-8" ]
[ 9, 13, 14, 13, 14 ]
[ "fireproof", "bags", "for", "documents", "&", "valuables" ]
[ 17, 9, 17, 18, 18, 18 ]
[ "bl", "manga" ]
[ 17, 9 ]
[ "mary", "beth", "davis" ]
[ 11, 12, 12 ]
[ "usb", "type", "c", "hub" ]
[ 9, 17, 18, 9 ]
[ "the", "mistress's", "daughter", "by", "a.m.", "homes" ]
[ 7, 8, 8, 11, 12, 12 ]
[ "adjust", "dumbbell" ]
[ 17, 9 ]
[ "top", "burner", "valve" ]
[ 17, 9, 10 ]
[ "cat", "urine", "enzyme", "cleaner", "for", "carpet", "cleaner" ]
[ 17, 18, 9, 10, 17, 18, 9 ]
[ "auto", "fan" ]
[ 17, 9 ]
[ "clearance", "pressure", "washer" ]
[ 23, 9, 10 ]
[ "gel", "pads", "for", "high", "heels" ]
[ 9, 10, 17, 18, 18 ]
[ "count", "sesame", "street", "adult" ]
[ 7, 8, 8, 13 ]
[ "home", "filters", "20x25x4" ]
[ 9, 10, 1 ]
[ "au", "lait", "hand", "wash" ]
[ 25, 26, 9, 10 ]
[ "cable", "access", "wall", "plate" ]
[ 9, 10, 17, 18 ]
[ "manual", "washing", "machine" ]
[ 17, 9, 10 ]
[ "s9", "plus", "soft", "gel", "case" ]
[ 17, 18, 9, 10, 10 ]
[ "elizabeth", "gilbert", "books" ]
[ 11, 12, 9 ]
[ "external", "cellular", "antenna" ]
[ 17, 9, 10 ]
[ "lego", "police", "station" ]
[ 11, 25, 26 ]
[ "swaddle", "me", "newborn", "swaddle" ]
[ 25, 26, 13, 9 ]
[ "airpods", "skin" ]
[ 25, 9 ]
[ "metal", "bookmark" ]
[ 15, 9 ]
[ "dash", "camera", "for", "cars" ]
[ 9, 10, 17, 18 ]
[ "sushi", "roller" ]
[ 9, 10 ]
[ "barbie", "dream", "house" ]
[ 25, 26, 26 ]
[ "color", "contact", "lenses" ]
[ 3, 9, 10 ]
[ "cubs", "sport", "pant" ]
[ 7, 17, 9 ]