Datasets:
bltlab
/
queryner

Dataset card Data Studio Files Community
2
tokens
sequencelengths
2
12
ner_tags
sequencelengths
2
12
[ "dog", "dryers", "high", "velocity" ]
[ 9, 10, 17, 18 ]
[ "micrieave", "plate", "cover" ]
[ 17, 9, 10 ]
[ "halo", "hair", "extensions" ]
[ 11, 12, 12 ]
[ "cat6", "patch", "cable", "15", "foot" ]
[ 17, 9, 10, 1, 2 ]
[ "birthday", "postcards", "for", "students" ]
[ 19, 9, 13, 14 ]
[ "decendents", "3", "dolls" ]
[ 7, 8, 9 ]
[ "samsung", "tab", "e", "case" ]
[ 11, 25, 26, 9 ]
[ "18", "piece", "dish", "set" ]
[ 29, 30, 9, 10 ]
[ "motorguide", "tour", "prop" ]
[ 11, 25, 9 ]
[ "2", "3/4", "center", "caps" ]
[ 1, 2, 9, 10 ]
[ "big", "and", "tall", "tommy", "hilfiger", "men" ]
[ 31, 32, 32, 11, 12, 13 ]
[ "skull", "balaclava", "face", "mask" ]
[ 7, 31, 9, 10 ]
[ "cross", "cut", "sled" ]
[ 31, 32, 9 ]
[ "automatic", "esspresso/coffee", "machine" ]
[ 17, 9, 10 ]
[ "rose", "gold", "led", "lights" ]
[ 3, 4, 9, 10 ]
[ "bose", "home", "theater", "system" ]
[ 11, 9, 10, 10 ]
[ "shirts", "for", "men", "casual", "button", "down" ]
[ 9, 13, 14, 17, 31, 32 ]
[ "samsung", "fridge", "water", "filter" ]
[ 11, 17, 9, 10 ]
[ "mother", "of", "bride", "dresses", "for", "wedding", "tea", "length" ]
[ 17, 18, 18, 9, 19, 20, 1, 2 ]
[ "eye", "for", "an", "eye", "dvd" ]
[ 7, 8, 8, 8, 9 ]
[ "peru", "travel", "adapter" ]
[ 21, 9, 10 ]
[ "allergy", "pro", "ap350", "replacement", "filter" ]
[ 17, 18, 25, 9, 10 ]
[ "hulk", "bandana", "face", "mask" ]
[ 7, 9, 10, 10 ]
[ "paper", "espresso", "cups" ]
[ 15, 9, 10 ]
[ "bernie", "mac" ]
[ 7, 8 ]
[ "ipad", "pro", "12.9", "keyboard", "and", "mouse", "compatible" ]
[ 25, 26, 1, 17, 18, 18, 18 ]
[ "wild", "alaskan", "salmon", "oil" ]
[ 25, 26, 26, 26 ]
[ "toddler", "boys", "winter", "boots", "size", "9" ]
[ 13, 14, 19, 9, 1, 2 ]
[ "tye", "die", "bandanas" ]
[ 9, 10, 10 ]
[ "metrix", "protien", "bars" ]
[ 11, 9, 10 ]
[ "powder", "coat", "paint" ]
[ 17, 18, 9 ]
[ "pump", "membranes", "bpa", "free" ]
[ 9, 10, 17, 18 ]
[ "youtube", "videos" ]
[ 0, 0 ]
[ "chinese", "iphone", "xr", "case" ]
[ 21, 25, 26, 9 ]
[ "usb", "3", "cable", "a", "to", "a" ]
[ 9, 10, 10, 17, 18, 18 ]
[ "the", "little", "book", "of", "sloth", "philosophy" ]
[ 7, 8, 8, 8, 8, 8 ]
[ "kidzlane", "laser", "tag" ]
[ 11, 9, 10 ]
[ "solar", "christmas", "tree" ]
[ 17, 9, 10 ]
[ "red", "suspenders" ]
[ 3, 9 ]
[ "kids", "helmet", "3-5", "years" ]
[ 13, 9, 13, 14 ]
[ "12v", "pa", "system" ]
[ 1, 9, 10 ]
[ "big", "gold", "hoop", "earrings" ]
[ 31, 15, 31, 9 ]
[ "boys", "size", "5", "faux", "fur" ]
[ 13, 1, 2, 15, 16 ]
[ "media", "console" ]
[ 9, 10 ]
[ "halo", "light", "ring" ]
[ 9, 10, 10 ]
[ "1oz", "vodka", "shooters" ]
[ 1, 9, 10 ]
[ "isopropyl", "alcohol" ]
[ 9, 10 ]
[ "work", "gloves", "men" ]
[ 17, 9, 13 ]
[ "the", "butterfly", "project" ]
[ 11, 12, 12 ]
[ "fabric", "storage" ]
[ 0, 0 ]
[ "clairol", "root", "cover", "powder" ]
[ 11, 9, 10, 10 ]
[ "men", "chains", "with", "pendants" ]
[ 13, 9, 17, 18 ]
[ "lanyard", "badge", "key" ]
[ 9, 17, 18 ]
[ "fish", "tank", "ornament", "shipwreck" ]
[ 17, 18, 9, 10 ]
[ "men", "beer", "hoodie" ]
[ 13, 7, 9 ]
[ "usb", "plug", "hub", "3", "port" ]
[ 9, 10, 10, 17, 18 ]
[ "vintage", "suitcase", "for", "women" ]
[ 5, 9, 13, 14 ]
[ "nike", "toddler", "girl", "shoes" ]
[ 11, 13, 14, 9 ]
[ "ethernet", "gaming", "cable" ]
[ 9, 19, 9 ]
[ "panty", "liners", "for", "women" ]
[ 9, 10, 13, 14 ]
[ "13", "gallon", "garbage", "bags" ]
[ 1, 2, 17, 9 ]
[ "trek", "marlin", "4" ]
[ 11, 25, 26 ]
[ "plus", "size", "homecoming", "dresses", "for", "women" ]
[ 1, 2, 7, 9, 13, 14 ]
[ "iphone", "earphones" ]
[ 25, 9 ]
[ "grease", "stain", "remover", "for", "clothes" ]
[ 9, 10, 10, 17, 18 ]
[ "pasta", "de", "cecco", "thin" ]
[ 9, 11, 12, 17 ]
[ "lawn", "chair", "without", "arms" ]
[ 9, 10, 31, 32 ]
[ "lawn", "mower", "without", "motor" ]
[ 9, 10, 17, 18 ]
[ "foaming", "wasp", "and", "hornet", "killer" ]
[ 17, 9, 10, 10, 10 ]
[ "zip", "up", "sports", "bras", "for", "women" ]
[ 17, 18, 9, 10, 13, 14 ]
[ "metal", "keaf", "tray" ]
[ 15, 31, 9 ]
[ "learning", "toys" ]
[ 17, 9 ]
[ "thermal", "paper", "rolls", "2", "1", "4", "x", "50" ]
[ 17, 9, 10, 1, 2, 2, 2, 2 ]
[ "amazon", "luggage" ]
[ 11, 9 ]
[ "mud", "clay", "acne", "soap" ]
[ 9, 10, 10, 10 ]
[ "winter", "boots", "liner" ]
[ 19, 9, 10 ]
[ "waterproof", "limit", "switch" ]
[ 17, 18, 9 ]
[ "dreft", "baby", "detergent" ]
[ 11, 17, 9 ]
[ "ar", "15", "pec", "15" ]
[ 25, 26, 26, 26 ]
[ "safety", "pin", "earring" ]
[ 17, 9, 10 ]
[ "belly", "button", "rings" ]
[ 9, 10, 10 ]
[ "zevia", "ginger", "ale" ]
[ 11, 9, 10 ]
[ "custom", "jewelry", "for", "women" ]
[ 17, 9, 13, 14 ]
[ "magnetic", "phone", "accessories" ]
[ 17, 9, 10 ]
[ "led", "purge", "mask" ]
[ 17, 7, 9 ]
[ "fox", "racing", "hoodie" ]
[ 11, 12, 9 ]
[ "glade", "plugins", "refills" ]
[ 11, 17, 9 ]
[ "logitech", "m705" ]
[ 11, 25 ]
[ "monitor", "gaming" ]
[ 9, 10 ]
[ "i", "am", "with", "you", "always", "do", "not", "be", "afraid" ]
[ 7, 8, 8, 8, 8, 8, 8, 8, 8 ]
[ "fisher", "paykel", "water", "filter" ]
[ 11, 12, 9, 10 ]
[ "standing", "dinner", "table" ]
[ 17, 9, 10 ]
[ "328i", "led", "halo" ]
[ 25, 9, 10 ]
[ "lg", "tones" ]
[ 11, 25 ]
[ "elemental", "dinnerware" ]
[ 17, 9 ]
[ "nursing", "robe" ]
[ 9, 10 ]
[ "white", "basket", "with", "handle" ]
[ 3, 9, 31, 32 ]
[ "cat5e", "coupler" ]
[ 17, 9 ]
[ "nba", "starter", "jacket" ]
[ 7, 8, 9 ]
[ "face", "mask" ]
[ 9, 10 ]