Datasets:
bltlab
/
queryner

Dataset card Data Studio Files Community
2
tokens
sequencelengths
2
12
ner_tags
sequencelengths
2
12
[ "hand", "held", "vacuum", "cordless", "charging", "base" ]
[ 17, 18, 18, 18, 9, 10 ]
[ "lava", "lanp" ]
[ 9, 10 ]
[ "f30t8", "black", "light" ]
[ 27, 9, 10 ]
[ "black", "tank", "mini", "dress" ]
[ 3, 31, 31, 9 ]
[ "scrubbing", "bubbles", "shower", "cleaner" ]
[ 9, 10, 10, 10 ]
[ "minnkota", "products" ]
[ 11, 9 ]
[ "baggy", "pants" ]
[ 31, 9 ]
[ "lands", "end", "school", "uniform" ]
[ 11, 12, 13, 9 ]
[ "livestock", "solar", "pumps", "water" ]
[ 17, 17, 9, 10 ]
[ "can", "you", "stand", "the", "rain", "new", "edition" ]
[ 7, 8, 8, 8, 8, 8, 8 ]
[ "heater", "hose" ]
[ 9, 10 ]
[ "ceramtic", "coating" ]
[ 9, 10 ]
[ "plastic", "soap", "holder" ]
[ 15, 9, 10 ]
[ "raw", "garden", "of", "life", "b" ]
[ 17, 11, 12, 12, 9 ]
[ "grilzs", "teeth" ]
[ 0, 0 ]
[ "it's", "okay", "to", "not", "be", "okay" ]
[ 7, 8, 8, 8, 8, 8 ]
[ "adult", "toy" ]
[ 9, 10 ]
[ "mens", "omega", "watch" ]
[ 13, 11, 9 ]
[ "purse", "hooks", "for", "wall" ]
[ 9, 10, 17, 18 ]
[ "looney", "tunes", "dvd" ]
[ 7, 8, 9 ]
[ "smart", "light", "bulb" ]
[ 17, 9, 10 ]
[ "outdoor", "sensor", "light", "motion", "detector", "battery", "operated" ]
[ 17, 9, 10, 17, 18, 17, 18 ]
[ "outdoor", "led", "light", "bar" ]
[ 17, 9, 10, 10 ]
[ "here", "we", "are" ]
[ 7, 8, 8 ]
[ "nature's", "nutrition", "brain", "support", "supplement" ]
[ 11, 12, 25, 26, 9 ]
[ "1", "oz", "tin", "without", "lid" ]
[ 1, 2, 9, 5, 6 ]
[ "free", "kindle", "books", "mystery", "thriller", "suspense" ]
[ 23, 25, 9, 17, 18, 18 ]
[ "dewalt", "20-volt", "max", "8", "tool" ]
[ 11, 1, 25, 26, 9 ]
[ "led", "taper", "candles", "flickering" ]
[ 9, 10, 10, 10 ]
[ "esp32", "can-bus" ]
[ 9, 10 ]
[ "apple", "case", "for", "iphone", "x" ]
[ 11, 9, 0, 25, 26 ]
[ "iphone", "11", "back", "protector" ]
[ 25, 26, 9, 10 ]
[ "recipie", "cook", "books", "for", "inmates" ]
[ 7, 9, 10, 17, 18 ]
[ "cremo", "beard", "cream", "thickening" ]
[ 11, 9, 10, 17 ]
[ "folding", "picnic", "basket" ]
[ 17, 9, 10 ]
[ "women", "cowgirl", "boots" ]
[ 13, 17, 9 ]
[ "lighting", "without", "electricity" ]
[ 17, 17, 18 ]
[ "kindle", "fire", "kids", "edition" ]
[ 25, 26, 26, 26 ]
[ "tumi", "monaco", "wallet" ]
[ 11, 12, 9 ]
[ "wood", "wall", "mounted", "planter" ]
[ 15, 17, 18, 9 ]
[ "keto", "pasta" ]
[ 9, 10 ]
[ "lighted", "wooden", "advent", "calendar", "with", "drawers" ]
[ 17, 15, 9, 10, 17, 18 ]
[ "bassinet", "waterproof", "mattress", "cover" ]
[ 1, 17, 9, 10 ]
[ "carhartt", "delmont" ]
[ 11, 17 ]
[ "ento", "otoscope" ]
[ 11, 9 ]
[ "world", "peace" ]
[ 0, 0 ]
[ "cable", "management", "wall", "clips" ]
[ 17, 18, 9, 10 ]
[ "poppin", "cookin" ]
[ 11, 12 ]
[ "lambs", "ear", "wreath", "24", "inch" ]
[ 9, 10, 10, 1, 2 ]
[ "reading", "sunglasses", "not", "bifocal" ]
[ 19, 9, 17, 18 ]
[ "samsung", "galaxy", "j2" ]
[ 11, 25, 26 ]
[ "be", "yourself", "unless", "you", "can", "be", "a", "rhino" ]
[ 7, 8, 8, 8, 8, 8, 8, 8 ]
[ "broke", "in", "leather", "jacket" ]
[ 0, 0, 15, 9 ]
[ "full", "size", "bed", "without", "box", "spring" ]
[ 1, 2, 9, 5, 6, 6 ]
[ "cute", "stuffed", "cat" ]
[ 17, 9, 10 ]
[ "converse", "shoreline", "women" ]
[ 11, 25, 13 ]
[ "gloves", "disposable", "powdered" ]
[ 9, 17, 18 ]
[ "magic", "treehouse", "ninjas" ]
[ 7, 8, 8 ]
[ "jim", "jefferies" ]
[ 7, 8 ]
[ "karaoke", "machine" ]
[ 9, 10 ]
[ "men", "birkenstock" ]
[ 13, 11 ]
[ "macbook", "pro", "15", "inch", "refurbished" ]
[ 25, 26, 1, 2, 5 ]
[ "white", "cardigan", "chunky" ]
[ 3, 9, 17 ]
[ "garbage", "grippers" ]
[ 9, 10 ]
[ "women", "sexual", "enhancement", "pills" ]
[ 13, 17, 18, 9 ]
[ "cyberverse", "optimus", "prime" ]
[ 7, 8, 8 ]
[ "leave", "blowers" ]
[ 9, 10 ]
[ "vortex", "rifle", "scope" ]
[ 11, 9, 10 ]
[ "fuel", "transfer", "tank" ]
[ 9, 10, 10 ]
[ "iphone", "case", "7", "plus", "with", "card", "holder" ]
[ 25, 9, 25, 26, 17, 18, 18 ]
[ "guinea", "pig", "christmas", "clothes" ]
[ 17, 18, 19, 9 ]
[ "vasija", "para", "almuerzo", "calentadora" ]
[ 9, 17, 18, 17 ]
[ "used", "laptop", "computers", "under", "100", "dollars" ]
[ 5, 9, 10, 23, 24, 24 ]
[ "keystone", "mag", "wheels" ]
[ 25, 9, 10 ]
[ "food", "processors", "best", "rated" ]
[ 9, 10, 0, 0 ]
[ "stand", "up", "cabinet" ]
[ 31, 32, 9 ]
[ "bath", "and", "bodyworks", "water", "line" ]
[ 11, 12, 12, 25, 26 ]
[ "detroit", "lions", "golladay", "jersey" ]
[ 7, 8, 8, 9 ]
[ "unicorn", "tea", "set" ]
[ 17, 9, 10 ]
[ "illenium", "jon", "bellion", "good", "things", "fall", "apart" ]
[ 11, 12, 12, 7, 8, 8, 8 ]
[ "bbb", "bell" ]
[ 11, 9 ]
[ "keyless", "deadbolt" ]
[ 9, 10 ]
[ "evaporative", "cooler", "outdoor" ]
[ 17, 9, 17 ]
[ "blouson", "tankini", "swimsuits", "for", "women", "18" ]
[ 11, 12, 9, 13, 14, 1 ]
[ "mabeline", "eye", "shadows" ]
[ 11, 9, 10 ]
[ "kids", "instruments" ]
[ 13, 9 ]
[ "science", "gift" ]
[ 17, 9 ]
[ "wedding", "band", "size" ]
[ 9, 10, 0 ]
[ "cat", "furniture", "deterrent", "spray" ]
[ 17, 9, 10, 10 ]
[ "halloween", "jack", "skellington", "2", "year", "old", "boy" ]
[ 19, 7, 8, 13, 14, 14, 14 ]
[ "leotards", "for", "girls", "gymnastics" ]
[ 9, 13, 14, 19 ]
[ "mood", "necklaces", "color", "changing" ]
[ 9, 10, 17, 18 ]
[ "indoor", "thermometer" ]
[ 17, 9 ]
[ "wood", "chest" ]
[ 15, 9 ]
[ "1", "5/8", "copper", "sink", "drain", "without", "overflow" ]
[ 1, 2, 15, 9, 10, 5, 6 ]
[ "21st", "birthday", "games", "for", "her" ]
[ 19, 20, 9, 13, 14 ]
[ "oxford", "university" ]
[ 0, 0 ]
[ "moon", "wall", "art" ]
[ 17, 9, 10 ]
[ "toothbrush", "flosser" ]
[ 9, 10 ]
[ "kids", "gaming", "headset" ]
[ 13, 9, 10 ]