Datasets:
bltlab
/
queryner

Dataset card Data Studio Files Community
2
tokens
sequencelengths
2
12
ner_tags
sequencelengths
2
12
[ "neem", "leaves" ]
[ 9, 10 ]
[ "la", "croix", "prime", "pantry" ]
[ 11, 12, 0, 0 ]
[ "paper", "house", "productions", "journey", "book" ]
[ 11, 12, 12, 9, 10 ]
[ "t-shirts", "for", "men", "with", "pocket" ]
[ 9, 13, 14, 17, 18 ]
[ "dragon", "dreamworks" ]
[ 7, 11 ]
[ "soy", "wax", "for", "candle", "making" ]
[ 15, 9, 19, 20, 20 ]
[ "lionel", "rackng", "1:24" ]
[ 11, 12, 25 ]
[ "selsun", "yellow", "medicated", "shampoo" ]
[ 11, 25, 26, 9 ]
[ "designer", "inspired", "bracelets" ]
[ 17, 18, 9 ]
[ "air", "pump" ]
[ 9, 10 ]
[ "meghan", "march" ]
[ 11, 12 ]
[ "tv", "stand", "for", "55", "inch", "tv", "swivel" ]
[ 9, 10, 1, 2, 2, 17, 18 ]
[ "silicon", "baking", "matas" ]
[ 15, 9, 10 ]
[ "unicorn", "jewelry" ]
[ 11, 12 ]
[ "babyliss", "shaver" ]
[ 11, 9 ]
[ "6x9", "speaker", "box" ]
[ 1, 9, 10 ]
[ "thin", "gray", "line", "silver", "officers" ]
[ 3, 4, 4, 3, 17 ]
[ "teen", "costumes", "for", "girls" ]
[ 13, 9, 13, 14 ]
[ "85w", "magsafe", "2", "power", "adapter" ]
[ 1, 25, 26, 9, 10 ]
[ "beginning", "reader", "books" ]
[ 13, 14, 9 ]
[ "dot", "youth", "&", "kids", "motocross", "offroad", "street", "helmet" ]
[ 17, 13, 14, 14, 19, 20, 20, 9 ]
[ "100%", "cotton", "underwear" ]
[ 15, 16, 9 ]
[ "braun", "folding", "led", "work", "light" ]
[ 11, 17, 9, 10, 10 ]
[ "macbook", "pro", "13", "inch", "case" ]
[ 25, 26, 1, 2, 9 ]
[ "dog", "dress", "pattern" ]
[ 17, 9, 10 ]
[ "recording", "headphones" ]
[ 17, 9 ]
[ "joyce", "carol", "oates" ]
[ 7, 8, 8 ]
[ "plain", "and", "plaid", "pants", "men" ]
[ 11, 12, 12, 9, 13 ]
[ "just", "my", "size", "tops", "plus", "size", "women" ]
[ 11, 12, 12, 9, 1, 2, 13 ]
[ "electric", "pump" ]
[ 9, 10 ]
[ "kayak", "anhor" ]
[ 9, 10 ]
[ "miniature", "food" ]
[ 17, 9 ]
[ "mailing", "scale", "postal", "shipping", "mailing" ]
[ 0, 9, 10, 0, 0 ]
[ "hunting", "for", "teens" ]
[ 7, 8, 8 ]
[ "beer", "making", "kit" ]
[ 9, 10, 10 ]
[ "scalp", "massage", "brush" ]
[ 17, 9, 10 ]
[ "great", "fathers", "day", "gifts" ]
[ 0, 19, 20, 9 ]
[ "pjs", "fannel", "for", "women", "set" ]
[ 9, 10, 13, 14, 9 ]
[ "banner", "paper" ]
[ 9, 10 ]
[ "fire", "pit", "stones" ]
[ 9, 10, 15 ]
[ "turkey", "hat", "newborn" ]
[ 31, 9, 13 ]
[ "fuck", "dolls" ]
[ 9, 10 ]
[ "bear", "head", "wall", "decor" ]
[ 17, 18, 9, 10 ]
[ "moon", "and", "star", "mold" ]
[ 31, 32, 32, 9 ]
[ "tea", "gift" ]
[ 9, 17 ]
[ "guitar", "neck", "straight", "edge" ]
[ 9, 10, 10, 10 ]
[ "water", "bottle", "holder", "table", "top" ]
[ 9, 10, 10, 17, 18 ]
[ "stars", "without", "number", "rpg" ]
[ 7, 8, 8, 11 ]
[ "ironman", "lego", "sets" ]
[ 7, 11, 9 ]
[ "red", "church", "suit", "for", "men" ]
[ 3, 17, 9, 13, 14 ]
[ "large", "containers" ]
[ 1, 9 ]
[ "girls", "bookshelf", "and", "storage" ]
[ 13, 9, 10, 10 ]
[ "computer", "sleeve", "13", "inch", "hp", "envy" ]
[ 9, 10, 1, 2, 11, 25 ]
[ "usb", "hub", "for", "laptop" ]
[ 9, 10, 17, 18 ]
[ "chi", "hair", "straightener" ]
[ 11, 9, 10 ]
[ "jk", "freedom", "panel", "storage", "bag" ]
[ 25, 25, 9, 10, 10 ]
[ "cough", "drops", "without", "menthol" ]
[ 9, 10, 17, 18 ]
[ "15.6", "laptop", "case" ]
[ 1, 17, 9 ]
[ "toy", "story", "pencils" ]
[ 7, 8, 9 ]
[ "badminton", "rackets" ]
[ 9, 10 ]
[ "bjorn", "bouncer" ]
[ 11, 9 ]
[ "large", "number", "5", "balloon" ]
[ 1, 31, 32, 9 ]
[ "fixed", "blade", "hunting", "knives", "with", "sheath" ]
[ 9, 10, 10, 10, 17, 18 ]
[ "paraframe", "knife" ]
[ 25, 9 ]
[ "cases", "for", "iphone", "6s", "plus" ]
[ 9, 0, 25, 26, 26 ]
[ "1", "piece", "wingback", "chair", "cover", "without", "arms" ]
[ 29, 30, 17, 9, 10, 17, 18 ]
[ "kid", "utensils" ]
[ 13, 9 ]
[ "sure", "jell", "for", "less", "or", "no", "sugar" ]
[ 25, 26, 17, 18, 18, 18, 18 ]
[ "women", "shirt" ]
[ 13, 9 ]
[ "aquafresh", "toothpaste", "kids" ]
[ 11, 9, 13 ]
[ "body", "pillow" ]
[ 9, 10 ]
[ "copal", "essential", "oil" ]
[ 9, 10, 10 ]
[ "champion", "hoodie", "women" ]
[ 11, 9, 13 ]
[ "live", "mini", "christmas", "tree" ]
[ 17, 31, 9, 10 ]
[ "shampoo", "for", "oily", "hair", "women" ]
[ 9, 17, 18, 15, 13 ]
[ "engenius", "poe", "injector", "24v" ]
[ 11, 9, 10, 1 ]
[ "panasonic", "full", "frame", "camera" ]
[ 11, 17, 18, 9 ]
[ "therafit", "shoed", "for", "women" ]
[ 11, 9, 13, 14 ]
[ "sonata", "watch" ]
[ 11, 9 ]
[ "cross", "bracelets" ]
[ 31, 9 ]
[ "women's", "muck", "boots" ]
[ 13, 9, 10 ]
[ "marissa", "meyer", "books" ]
[ 11, 12, 9 ]
[ "lisa", "unlasting" ]
[ 11, 7 ]
[ "tab", "s2", "cable" ]
[ 17, 18, 9 ]
[ "car", "seats", "for", "car" ]
[ 9, 10, 17, 18 ]
[ "blue", "peel", "and", "stick", "wallpaper" ]
[ 3, 17, 18, 18, 9 ]
[ "lego", "christmas", "ornaments", "book" ]
[ 7, 8, 8, 8 ]
[ "bottle", "brush", "trees", "christmas", "green", "tall", "truck" ]
[ 9, 10, 31, 19, 3, 31, 32 ]
[ "14", "chromebook", "sleeve" ]
[ 1, 25, 9 ]
[ "move", "md", "joint", "supplement" ]
[ 25, 26, 9, 10 ]
[ "ekwb", "splitter" ]
[ 9, 10 ]
[ "letter", "recognition", "games" ]
[ 7, 8, 9 ]
[ "bracelet", "making", "kit" ]
[ 9, 10, 10 ]
[ "crush", "and", "color", "jason", "momoa", "a", "coloring", "book", "of", "fantasies" ]
[ 7, 8, 8, 8, 8, 25, 26, 26, 17, 18 ]
[ "queen", "duvet", "white" ]
[ 1, 9, 3 ]
[ "boat", "ties", "to", "dock" ]
[ 17, 9, 10, 10 ]
[ "funko", "pop", "coca", "cola" ]
[ 11, 12, 7, 8 ]
[ "tutu", "supplies" ]
[ 9, 10 ]
[ "university", "of", "minnesota", "champion", "sweatshirt" ]
[ 7, 8, 8, 11, 9 ]
[ "volleyball", "knee", "pads" ]
[ 17, 9, 10 ]