Datasets:
bltlab
/
queryner

Dataset card Data Studio Files
xet
Community
2
tokens
listlengths
2
12
ner_tags
listlengths
2
12
[ "backless", "knit", "bow", "sweater" ]
[ 31, 15, 31, 9 ]
[ "5", "inch", "hitch", "extension" ]
[ 1, 2, 9, 10 ]
[ "opal", "and", "garnet", "stackable", "rings" ]
[ 15, 16, 16, 17, 9 ]
[ "whicker", "baskets" ]
[ 9, 10 ]
[ "rose", "gold", "graduation", "decorations" ]
[ 3, 4, 19, 9 ]
[ "light", "blue", "skirt" ]
[ 3, 4, 9 ]
[ "small", "dog", "clothes", "male" ]
[ 1, 9, 10, 13 ]
[ "long", "johns", "for", "men" ]
[ 9, 10, 13, 14 ]
[ "ariens", "riding", "lawn", "mower", "parts" ]
[ 11, 17, 9, 10, 10 ]
[ "water", "bottles", "stainless", "steel" ]
[ 9, 10, 15, 16 ]
[ "swiss", "chocolate", "bars", "made", "in", "switzerland" ]
[ 9, 10, 10, 21, 22, 22 ]
[ "dell", "all", "in", "one", "computer" ]
[ 11, 17, 18, 18, 9 ]
[ "bolster", "foam" ]
[ 9, 10 ]
[ "nintendo", "joy-con" ]
[ 11, 9 ]
[ "instafuel", "coffee" ]
[ 11, 9 ]
[ "punctuation", "mark", "childrens", "book" ]
[ 7, 8, 9, 10 ]
[ "daily", "wellness", "superfood", "blend" ]
[ 17, 18, 9, 10 ]
[ "boys", "dress", "shirt" ]
[ 13, 9, 10 ]
[ "fruit", "of", "the", "loom", "mens" ]
[ 11, 12, 12, 12, 13 ]
[ "flashlight", "low", "lumen" ]
[ 9, 17, 18 ]
[ "the", "olympians", "series" ]
[ 7, 8, 9 ]
[ "highlights", "magazine", "coupon", "code" ]
[ 11, 9, 0, 0 ]
[ "razors", "for", "bald", "men" ]
[ 9, 13, 14, 14 ]
[ "tractor", "implements" ]
[ 9, 10 ]
[ "multi", "color", "shimmer", "tops" ]
[ 3, 4, 17, 9 ]
[ "composition", "quad-ruled", "notebook" ]
[ 17, 17, 9 ]
[ "power", "pepper", "grinder" ]
[ 17, 9, 10 ]
[ "phones", "for", "home", "with", "answering", "machine" ]
[ 9, 17, 18, 17, 18, 18 ]
[ "tiny", "human" ]
[ 0, 0 ]
[ "good", "boys" ]
[ 7, 13 ]
[ "telescopic", "back", "scratchers", "for", "adults", "extendable" ]
[ 17, 9, 10, 13, 14, 17 ]
[ "storage", "bench", "organizer" ]
[ 17, 18, 9 ]
[ "3", "prong", "garden", "hoe" ]
[ 17, 18, 9, 10 ]
[ "party", "fish", "decor" ]
[ 19, 9, 10 ]
[ "infinity", "car", "accessories" ]
[ 11, 9, 10 ]
[ "slip", "absorbent", "door", "mat", "outdoor" ]
[ 17, 18, 9, 10, 17 ]
[ "25", "cu", "ft", "refrigerator" ]
[ 1, 2, 2, 9 ]
[ "macbook", "pro", "16", "inch", "case" ]
[ 25, 26, 1, 2, 9 ]
[ "once", "upon", "a", "time", "pops" ]
[ 7, 8, 8, 8, 25 ]
[ "pokemon", "toys" ]
[ 7, 9 ]
[ "countertop", "dishcloth", "drying", "rack" ]
[ 17, 18, 9, 10 ]
[ "unicorn", "beads" ]
[ 11, 12 ]
[ "replacement", "engine", "for", "lawn", "mowers" ]
[ 9, 10, 17, 18, 18 ]
[ "66", "mustang", "antenna" ]
[ 33, 17, 9 ]
[ "wet", "brush" ]
[ 9, 10 ]
[ "she", "shed" ]
[ 9, 10 ]
[ "oklahoma", "back", "road", "restaurant", "recipes" ]
[ 7, 8, 8, 8, 8 ]
[ "truck", "with", "camping", "trailer" ]
[ 9, 17, 18, 18 ]
[ "baby", "alive", "real", "as", "can", "be", "doll" ]
[ 11, 12, 25, 26, 26, 26, 9 ]
[ "needles", "#32" ]
[ 9, 1 ]
[ "double", "sided", "tape" ]
[ 9, 10, 10 ]
[ "sun", "shaped", "alarm", "clock" ]
[ 31, 32, 9, 10 ]
[ "dinosaur", "toys", "for", "girls" ]
[ 17, 9, 13, 14 ]
[ "planters", "for", "outdoor", "plants" ]
[ 9, 17, 18, 18 ]
[ "boat", "jack", "stands" ]
[ 9, 10, 10 ]
[ "black", "aprons", "for", "adults", "with", "pockets" ]
[ 3, 9, 13, 14, 17, 18 ]
[ "afro", "mannequin", "head", "for", "braiding" ]
[ 17, 9, 10, 17, 18 ]
[ "spiderman", "scooter" ]
[ 7, 9 ]
[ "fraulein", "costume", "women" ]
[ 17, 9, 13 ]
[ "0.6ml", "syringe", "without", "needle" ]
[ 1, 9, 5, 6 ]
[ "bed", "cot", "mattress" ]
[ 9, 10, 10 ]
[ "coffee", "mate", "powdered", "creamer", "fat", "free" ]
[ 25, 26, 9, 10, 17, 18 ]
[ "20", "pound", "weights" ]
[ 1, 2, 9 ]
[ "kids", "gloves" ]
[ 13, 9 ]
[ "work", "tables" ]
[ 17, 9 ]
[ "hon", "ignition", "2.0", "ergonomic", "office", "chair" ]
[ 11, 25, 26, 9, 10, 10 ]
[ "96", "inch", "sheer", "curtains" ]
[ 1, 2, 17, 9 ]
[ "vinyl", "cutter", "machine" ]
[ 9, 10, 10 ]
[ "gallon", "high", "build", "primer" ]
[ 1, 25, 26, 9 ]
[ "buddha", "hair", "stick" ]
[ 31, 9, 10 ]
[ "vince", "camuto", "cottara" ]
[ 11, 12, 25 ]
[ "video", "doorbell", "without", "subscription" ]
[ 17, 9, 0, 0 ]
[ "sanitizer", "wipe", "stand" ]
[ 17, 18, 9 ]
[ "organic", "body", "wash", "for", "toddlers" ]
[ 17, 9, 10, 13, 14 ]
[ "wood", "animal", "enclosure" ]
[ 15, 9, 10 ]
[ "flat", "black", "angelus", "paint" ]
[ 31, 3, 11, 9 ]
[ "stainless", "steel", "protectant" ]
[ 17, 18, 9 ]
[ "legos", "for", "boys", "age", "4-7" ]
[ 11, 13, 14, 14, 14 ]
[ "kids", "stepping", "stone", "kit" ]
[ 13, 9, 10, 10 ]
[ "six", "plug" ]
[ 17, 9 ]
[ "cast", "iron", "dutch", "oven", "with", "lid" ]
[ 15, 16, 9, 10, 17, 18 ]
[ "whole", "foods", "multivitamin", "for", "teens" ]
[ 25, 26, 26, 13, 14 ]
[ "crystal", "bags", "to", "hold", "crystals" ]
[ 9, 10, 17, 18, 18 ]
[ "lg", "oem", "headphones" ]
[ 11, 17, 9 ]
[ "butey", "and", "the", "beast" ]
[ 7, 8, 8, 8 ]
[ "long", "lasting", "batteries" ]
[ 17, 18, 9 ]
[ "pharmacy", "jewelry" ]
[ 0, 9 ]
[ "10", "foot", "surge", "protector" ]
[ 1, 2, 9, 10 ]
[ "dog", "hip", "joint", "c.f." ]
[ 17, 25, 26, 11 ]
[ "dwayne", "wade", "nba", "shirt" ]
[ 7, 8, 8, 9 ]
[ "crochet", "sweaters", "for", "women" ]
[ 17, 9, 13, 14 ]
[ "printer", "brother", "mcf" ]
[ 9, 11, 25 ]
[ "artificial", "christmas", "trees", "without", "lights" ]
[ 17, 9, 10, 5, 6 ]
[ "mens", "shorts", "without", "pockets" ]
[ 13, 9, 17, 18 ]
[ "tea", "pot", "set,", "chinese", "style" ]
[ 9, 10, 10, 17, 18 ]
[ "classic", "graphic", "crocs", "girls" ]
[ 5, 17, 11, 13 ]
[ "1/4", "zip", "pullover", "women" ]
[ 31, 9, 9, 13 ]
[ "shirts", "for", "men" ]
[ 9, 13, 14 ]
[ "game", "camera" ]
[ 9, 10 ]
[ "arched", "window", "mirror" ]
[ 31, 9, 10 ]