Datasets:

tokens
sequencelengths
2
12
ner_tags
sequencelengths
2
12
[ "jak", "and", "daxter", "ps4" ]
[ 7, 8, 8, 25 ]
[ "nike", "head", "tie" ]
[ 11, 9, 10 ]
[ "maidenform", "bra" ]
[ 11, 9 ]
[ "plastic", "wrap", "dispenser" ]
[ 15, 9, 10 ]
[ "writing", "to", "the", "point" ]
[ 7, 8, 8, 8 ]
[ "bell", "bottom", "jeans", "baby", "valentine" ]
[ 9, 10, 10, 13, 7 ]
[ "pavilion", "13", "laptop", "bag" ]
[ 11, 25, 9, 10 ]
[ "mooncake", "box" ]
[ 9, 10 ]
[ "decked", "truck", "bed", "storage" ]
[ 11, 9, 10, 10 ]
[ "mens", "waste", "pack" ]
[ 13, 9, 10 ]
[ "left", "handed", "youth", "bow", "package" ]
[ 31, 32, 13, 9, 10 ]
[ "passport", "holder", "genuine", "leather" ]
[ 9, 10, 15, 16 ]
[ "metal", "angel" ]
[ 15, 9 ]
[ "10", "micron", "fuel", "filter", "6an", "without", "regulator" ]
[ 1, 2, 9, 10, 1, 5, 6 ]
[ "providing", "professional", "services", "as", "a", "business" ]
[ 7, 8, 8, 8, 8, 8 ]
[ "cell", "phone", "bags", "for", "women" ]
[ 9, 10, 10, 13, 14 ]
[ "re", "animator", "poster" ]
[ 7, 8, 9 ]
[ "athletic", "sweat", "bands" ]
[ 17, 9, 10 ]
[ "college", "scantrons" ]
[ 17, 9 ]
[ "tamashii", "nations", "stand" ]
[ 11, 12, 9 ]
[ "washable", "face", "mask", "2", "layers" ]
[ 17, 9, 10, 17, 18 ]
[ "big", "urn" ]
[ 31, 9 ]
[ "hallmark", "legendary", "concept", "cars" ]
[ 11, 25, 26, 26 ]
[ "dobsonian", "telescopes" ]
[ 9, 10 ]
[ "tan", "extender", "lotion" ]
[ 9, 10, 10 ]
[ "ipad", "covers", "6th" ]
[ 25, 9, 17 ]
[ "pickle", "juice", "sport" ]
[ 11, 12, 25 ]
[ "bivy", "sack" ]
[ 9, 10 ]
[ "hockey", "pretend", "play", "for", "dolls" ]
[ 17, 9, 10, 17, 18 ]
[ "coax", "50", "ohm" ]
[ 9, 1, 2 ]
[ "shampoo", "and", "conditioner", "for", "color", "treated", "hair" ]
[ 9, 10, 10, 17, 18, 18, 18 ]
[ "bears", "nfl" ]
[ 7, 8 ]
[ "pour", "wine", "without", "removing", "cork" ]
[ 0, 0, 0, 0, 0 ]
[ "laptop", "chromebook" ]
[ 9, 10 ]
[ "steel", "sink", "strainers" ]
[ 15, 9, 10 ]
[ "cropped", "hoodie" ]
[ 31, 9 ]
[ "felt", "pillow", "craft", "for", "kids" ]
[ 15, 9, 10, 13, 14 ]
[ "baby", "boy", "shoes", "0-3", "months" ]
[ 13, 13, 9, 13, 14 ]
[ "us", "stove", "company", "parts" ]
[ 11, 12, 9, 10 ]
[ "light", "up", "halloween", "balloons" ]
[ 17, 18, 19, 9 ]
[ "cotton", "pillowcases", "standard" ]
[ 15, 9, 17 ]
[ "disney", "face", "masks" ]
[ 11, 9, 10 ]
[ "lights", "corless", "zone" ]
[ 9, 17, 18 ]
[ "doggie", "bags", "for", "poop", "biodegradable" ]
[ 9, 10, 17, 18, 18 ]
[ "christmas", "sticker", "activity" ]
[ 19, 9, 10 ]
[ "insulated", "holder", "for", "20", "oz", "bottle" ]
[ 17, 9, 17, 1, 2, 17 ]
[ "tactical", "pants", "5.11", "men" ]
[ 9, 10, 11, 13 ]
[ "bell", "sleeve", "blouses", "for", "women" ]
[ 9, 10, 10, 13, 14 ]
[ "claw", "garden", "gloves", "women" ]
[ 17, 9, 10, 13 ]
[ "blush", "pink", "flower", "girl", "dress" ]
[ 3, 4, 3, 13, 9 ]
[ "color", "block", "bathing", "suits", "for", "women" ]
[ 3, 4, 9, 10, 13, 14 ]
[ "live", "sand", "for", "saltwater", "aquarium" ]
[ 9, 10, 17, 18, 18 ]
[ "liftmaster", "1/2", "hp", "remote", "garage", "door", "opener" ]
[ 11, 1, 2, 17, 9, 10, 10 ]
[ "simms", "women", "fishing", "cap" ]
[ 11, 13, 17, 9 ]
[ "detergent", "without", "bleach" ]
[ 9, 5, 6 ]
[ "boudoir", "ribe" ]
[ 9, 10 ]
[ "irwin", "tools" ]
[ 11, 12 ]
[ "under", "bathroom", "sink", "plumbing", "kit" ]
[ 17, 18, 18, 9, 10 ]
[ "jigsaw", "puzzles", "for", "older", "adults" ]
[ 9, 10, 13, 14, 14 ]
[ "air", "humidifier", "with", "essential", "oils" ]
[ 9, 10, 17, 18, 18 ]
[ "miniature", "deer" ]
[ 0, 0 ]
[ "baitcaster", "reel" ]
[ 9, 10 ]
[ "moon", "necklace" ]
[ 31, 9 ]
[ "alpaca", "comforter", "queen" ]
[ 15, 9, 1 ]
[ "thigh", "strap", "on", "for", "sex" ]
[ 17, 9, 10, 19, 20 ]
[ "indoor", "handles", "for", "doors" ]
[ 17, 9, 17, 18 ]
[ "small", "transistor", "radio" ]
[ 1, 9, 10 ]
[ "queen", "comforter", "set", "with", "sheets" ]
[ 1, 9, 10, 17, 18 ]
[ "salt", "and", "pepper", "mill", "set" ]
[ 9, 10, 10, 10, 10 ]
[ "vivohome", "6", "inch", "inline", "fan" ]
[ 11, 1, 2, 17, 9 ]
[ "sports", "trivia", "games", "for", "adults" ]
[ 7, 8, 9, 13, 14 ]
[ "subzero", "water", "bottles" ]
[ 11, 9, 10 ]
[ "10k", "white", "gold", "diamond", "princess", "cut", "earrings", "screw", "on", "back" ]
[ 15, 16, 16, 31, 32, 32, 9, 17, 18, 18 ]
[ "driftwood", "small" ]
[ 9, 1 ]
[ "led", "light", "strip", "hangers" ]
[ 17, 18, 18, 9 ]
[ "glass", "windows", "stickers" ]
[ 17, 18, 9 ]
[ "now", "foods" ]
[ 11, 12 ]
[ "pink", "victoria", "secret", "jogging", "suits" ]
[ 3, 11, 12, 17, 9 ]
[ "louis", "vuitton", "phone", "case" ]
[ 11, 12, 9, 10 ]
[ "child", "gates" ]
[ 13, 9 ]
[ "mk", "bags", "for", "women" ]
[ 11, 9, 13, 14 ]
[ "noel", "lawrence" ]
[ 11, 12 ]
[ "#i", "am", "not", "chinese" ]
[ 7, 8, 8, 8 ]
[ "toys", "for", "girls", "age", "3", "dolls" ]
[ 9, 13, 14, 14, 14, 9 ]
[ "dji", "osmo", "pocket", "hd" ]
[ 11, 25, 26, 17 ]
[ "sanding", "mask" ]
[ 9, 10 ]
[ "natracure", "cold", "therapy", "socks" ]
[ 11, 25, 26, 9 ]
[ "nuzest", "clean", "lean", "protein" ]
[ 11, 25, 26, 9 ]
[ "zk", "g1" ]
[ 11, 25 ]
[ "gold", "floor", "mirror" ]
[ 3, 9, 10 ]
[ "hp", "m604", "toner" ]
[ 11, 27, 9 ]
[ "xe3", "shutter", "button" ]
[ 25, 9, 10 ]
[ "origins", "face", "mask" ]
[ 11, 9, 10 ]
[ "lego", "spiderman" ]
[ 11, 7 ]
[ "stainless", "steel", "mixing", "bowls" ]
[ 15, 16, 9, 10 ]
[ "wall", "storage", "coat", "rack" ]
[ 9, 10, 10, 10 ]
[ "macbook", "air", "13", "inch", "case", "yellow" ]
[ 25, 26, 1, 2, 9, 3 ]
[ "three", "co-ed", "killer" ]
[ 0, 0, 0 ]
[ "keto", "strips" ]
[ 9, 10 ]
[ "vision", "tv", "stand" ]
[ 11, 9, 10 ]