Datasets:

tokens
sequencelengths
2
12
ner_tags
sequencelengths
2
12
[ "2", "temperature", "glue", "gun", "battery" ]
[ 17, 18, 9, 10, 17 ]
[ "blackhead", "tool" ]
[ 17, 9 ]
[ "women", "tank", "tops", "cotton", "short" ]
[ 13, 9, 10, 15, 9 ]
[ "fusion", "12", "kerastase" ]
[ 25, 26, 11 ]
[ "shapermint", "for", "women", "tummy", "control", "plus", "size" ]
[ 11, 13, 14, 9, 10, 1, 2 ]
[ "samsung", "note", "10", "screen", "protector" ]
[ 11, 25, 26, 9, 10 ]
[ "girl", "macbook", "13inch", "cover" ]
[ 13, 25, 1, 9 ]
[ "all", "in", "one", "desktop", "computer" ]
[ 17, 18, 18, 9, 10 ]
[ "duracell", "powersource" ]
[ 11, 25 ]
[ "1/2", "velcro", "strips", "without", "adhesive" ]
[ 1, 9, 10, 17, 18 ]
[ "ncis", "season", "18", "on", "amazon", "prime" ]
[ 7, 8, 8, 17, 18, 18 ]
[ "spa", "sensations" ]
[ 11, 12 ]
[ "moon", "rising" ]
[ 7, 8 ]
[ "pant", "pajama", "set", "for", "women" ]
[ 9, 10, 10, 13, 14 ]
[ "protector", "lg", "q7" ]
[ 9, 17, 18 ]
[ "alarm", "light", "clock" ]
[ 17, 18, 9 ]
[ "vanity", "chairs", "cheap" ]
[ 9, 10, 23 ]
[ "hawaii", "luggage", "tag" ]
[ 7, 9, 10 ]
[ "around", "the", "neck", "bluetooth", "ear", "buds" ]
[ 17, 18, 18, 17, 9, 10 ]
[ "automatic", "freshener", "refill", "cherry" ]
[ 17, 9, 10, 17 ]
[ "columbia", "neck", "gaiter" ]
[ 11, 9, 10 ]
[ "hair", "spray" ]
[ 9, 10 ]
[ "cordless", "hot", "glue", "gun" ]
[ 17, 9, 10, 10 ]
[ "snow", "white", "party", "supplies" ]
[ 7, 8, 9, 10 ]
[ "the", "reluctant", "heroes", "hiroyuki", "sawano" ]
[ 7, 8, 8, 11, 12 ]
[ "withco", "old", "fashioned" ]
[ 11, 25, 26 ]
[ "xl", "coffin", "nail", "tips" ]
[ 1, 31, 9, 10 ]
[ "peanuts", "movie" ]
[ 7, 9 ]
[ "violin", "chin", "rest", "pad" ]
[ 17, 9, 10, 10 ]
[ "stress", "relief", "pills" ]
[ 9, 10, 10 ]
[ "low", "profile", "hair", "clip" ]
[ 17, 18, 9, 10 ]
[ "barbie", "chelsey" ]
[ 11, 25 ]
[ "lectrofan", "black", "noise", "machine" ]
[ 25, 3, 9, 10 ]
[ "small", "wallets", "for", "women" ]
[ 1, 9, 13, 14 ]
[ "teen", "desk" ]
[ 13, 9 ]
[ "body", "back", "scalp", "massager" ]
[ 11, 12, 9, 10 ]
[ "stainless", "steel", "tea", "kettle" ]
[ 15, 16, 9, 10 ]
[ "google", "wifi", "router", "3", "pack" ]
[ 11, 9, 10, 29, 30 ]
[ "roy", "clark", "cd", "greatest", "hits" ]
[ 11, 12, 9, 25, 26 ]
[ "perfect", "keto", "collagen" ]
[ 11, 12, 9 ]
[ "rainguard", "for", "car", "windows" ]
[ 9, 17, 18, 18 ]
[ "white", "polo", "shirt", "men", "bulk" ]
[ 3, 9, 10, 13, 17 ]
[ "sterling", "silver", "single", "diamond" ]
[ 17, 15, 17, 18 ]
[ "amsoil", "signature", "series", "0w20" ]
[ 11, 25, 26, 26 ]
[ "slim", "fit", "satin", "shirts", "for", "men" ]
[ 31, 32, 15, 9, 13, 14 ]
[ "glider", "cushion" ]
[ 31, 9 ]
[ "coral", "cup" ]
[ 7, 8 ]
[ "aussie", "hair", "jel" ]
[ 25, 9, 10 ]
[ "wheel", "locks", "lug", "nuts" ]
[ 9, 10, 10, 10 ]
[ "yellow", "heels" ]
[ 3, 9 ]
[ "bitch", "chain" ]
[ 7, 9 ]
[ "whiskey", "toothpicks", "daneson" ]
[ 25, 9, 11 ]
[ "bushnell", "permafocus", "binoculars" ]
[ 11, 17, 9 ]
[ "rv", "showet", "curtain" ]
[ 17, 9, 10 ]
[ "crafting", "table", "top" ]
[ 19, 9, 10 ]
[ "marines", "hoodies" ]
[ 11, 9 ]
[ "4x", "women", "outfits" ]
[ 31, 13, 9 ]
[ "a", "history", "of", "america", "in", "ten", "strikes" ]
[ 7, 8, 8, 8, 8, 8, 8 ]
[ "mens", "wrestling", "shoes", "size", "8" ]
[ 13, 19, 9, 1, 2 ]
[ "water", "bottle", "sleeves" ]
[ 9, 10, 10 ]
[ "laser", "2", "pack" ]
[ 25, 29, 30 ]
[ "silverware", "set", "black" ]
[ 9, 10, 3 ]
[ "mask", "respirator" ]
[ 9, 10 ]
[ "bongs", "and", "water", "pipes" ]
[ 9, 10, 10, 10 ]
[ "c", "fold", "paper", "towels", "case" ]
[ 17, 18, 9, 10, 10 ]
[ "snacks", "sold", "by", "amazon" ]
[ 9, 17, 18, 18 ]
[ "l736", "battery" ]
[ 25, 9 ]
[ "portable", "computer", "monitors", "for", "laptop" ]
[ 17, 9, 10, 17, 18 ]
[ "calcium", "potassium", "boron" ]
[ 9, 10, 10 ]
[ "2”", "thick", "cutting", "board" ]
[ 1, 31, 9, 10 ]
[ "dermaplane", "glo" ]
[ 0, 0 ]
[ "steering", "wheel", "cover" ]
[ 17, 18, 9 ]
[ "blank", "lawn", "signs", "with", "stakes" ]
[ 9, 10, 10, 10, 10 ]
[ "necklaces", "for", "women" ]
[ 9, 13, 14 ]
[ "mens", "pork", "pie", "hat", "stingy", "brim" ]
[ 13, 9, 10, 10, 25, 26 ]
[ "weber", "jumbo", "joe", "charcoal", "grill", "18", "inch", "black" ]
[ 11, 25, 26, 9, 10, 1, 2, 3 ]
[ "thick", "warm", "hoodie" ]
[ 17, 18, 9 ]
[ "leisure", "seeker" ]
[ 7, 8 ]
[ "christmas", "decorations" ]
[ 19, 9 ]
[ "wall", "picture", "frames" ]
[ 9, 10, 10 ]
[ "table", "legs" ]
[ 9, 10 ]
[ "queen", "size", "blanket", "cover" ]
[ 1, 2, 9, 10 ]
[ "wooden", "napkin", "holder" ]
[ 15, 9, 10 ]
[ "electric", "piano", "yamaha", "psr" ]
[ 17, 9, 11, 25 ]
[ "factory", "shoes", "for", "men" ]
[ 5, 9, 13, 14 ]
[ "cardboard", "cutter" ]
[ 9, 10 ]
[ "foot", "exfoliator" ]
[ 9, 10 ]
[ "moto", "g7", "wireless", "charging", "case" ]
[ 25, 26, 17, 9, 10 ]
[ "adaptors", "for", "stove", "top", "knobs" ]
[ 9, 17, 18, 18, 18 ]
[ "agate", "coasters", "with", "gold", "edge" ]
[ 15, 9, 17, 3, 17 ]
[ "300", "piece", "puzzles" ]
[ 29, 30, 9 ]
[ "baby", "thermometer" ]
[ 13, 9 ]
[ "fog", "machine" ]
[ 9, 10 ]
[ "womens", "earrings" ]
[ 13, 9 ]
[ "new", "balance", "turf", "shoes", "baseball" ]
[ 11, 12, 9, 10, 19 ]
[ "art", "studio", "set" ]
[ 9, 10, 10 ]
[ "resmonds", "real", "salt" ]
[ 11, 17, 9 ]
[ "5", "nights", "at", "freddy's", "toys" ]
[ 7, 8, 8, 8, 9 ]
[ "snake", "print", "dress" ]
[ 3, 4, 9 ]
[ "2a", "apparel" ]
[ 11, 12 ]