Datasets:

tokens
sequencelengths
2
12
ner_tags
sequencelengths
2
12
[ "face", "masks", "sheets" ]
[ 9, 10, 31 ]
[ "aoc", "agon", "ag352ucg6", "black", "edition" ]
[ 11, 25, 27, 17, 18 ]
[ "curved", "computer", "monitor" ]
[ 31, 9, 10 ]
[ "eversmile", "white", "foam", "invisalign", "cleaner" ]
[ 11, 9, 10, 10, 10 ]
[ "stabilizer", "a7ii" ]
[ 9, 25 ]
[ "croosbody", "shiny", "cell", "phone", "case" ]
[ 11, 17, 9, 10, 10 ]
[ "toyota", "tire", "pressure", "sensor", "reset", "tool" ]
[ 17, 9, 10, 10, 10, 10 ]
[ "fire", "stick", "without", "alexa", "voice" ]
[ 25, 26, 5, 6, 6 ]
[ "ink", "pad", "red" ]
[ 9, 10, 3 ]
[ "keto", "coffee" ]
[ 17, 9 ]
[ "secret", "organizations" ]
[ 7, 8 ]
[ "$10", "candles" ]
[ 23, 9 ]
[ "bmw", "oem", "headlights" ]
[ 11, 17, 9 ]
[ "heat", "sink" ]
[ 9, 10 ]
[ "9x12", "envelopes", "250", "count" ]
[ 1, 9, 29, 30 ]
[ "commercial", "air", "conditioning" ]
[ 17, 9, 10 ]
[ "byredo", "hair", "perfume" ]
[ 11, 9, 10 ]
[ "family", "blessings", "-", "lavyrle", "spencer" ]
[ 7, 8, 0, 11, 12 ]
[ "diamond", "bezel", "necklace", "for", "women" ]
[ 15, 17, 9, 13, 14 ]
[ "samsung", "42mm", "watch", "screen", "protector", "40mm" ]
[ 11, 1, 25, 9, 10, 1 ]
[ "pimp", "hat" ]
[ 7, 9 ]
[ "hdmi", "audio", "inserter" ]
[ 9, 10, 10 ]
[ "egg", "cooking", "pan" ]
[ 17, 9, 10 ]
[ "halloween", "mask" ]
[ 19, 9 ]
[ "silicon", "pan", "covers", "for", "cooking" ]
[ 15, 9, 10, 19, 20 ]
[ "woven", "bed", "blanket" ]
[ 15, 9, 10 ]
[ "wow", "wee", "robots", "for", "kids" ]
[ 25, 26, 9, 13, 14 ]
[ "designer", "watches", "for", "men" ]
[ 17, 9, 13, 14 ]
[ "room", "darkening", "curtains", "52", "x", "63" ]
[ 17, 18, 9, 1, 2, 2 ]
[ "board", "and", "batten", "composite", "exterior", "sutters" ]
[ 9, 10, 10, 17, 18, 18 ]
[ "levis", "skinny", "curvy", "jeans" ]
[ 11, 31, 32, 9 ]
[ "clear", "balloons", "5", "inch" ]
[ 3, 9, 1, 2 ]
[ "twin", "rollaway", "bed", "with", "mattress" ]
[ 31, 17, 9, 17, 18 ]
[ "lenovo", "w541", "battery" ]
[ 11, 27, 9 ]
[ "floor", "lamps", "for", "bedrooms" ]
[ 17, 9, 17, 18 ]
[ "teapot", "made", "in", "japan" ]
[ 9, 21, 22, 22 ]
[ "batman", "grant", "morrison" ]
[ 7, 11, 12 ]
[ "mens", "pretied", "bow", "tie", "orange", "striped" ]
[ 13, 17, 9, 10, 3, 3 ]
[ "mets", "cufflinks" ]
[ 7, 9 ]
[ "plus", "size", "lingerie", "set" ]
[ 1, 2, 9, 10 ]
[ "nintendo", "switch", "tablet" ]
[ 11, 25, 9 ]
[ "shotski", "board", "with", "glasses" ]
[ 9, 10, 17, 18 ]
[ "kitchen", "curtains", "tie", "up", "36", "inch" ]
[ 17, 9, 17, 18, 1, 2 ]
[ "blue-light", "blocking", "glasses" ]
[ 17, 18, 9 ]
[ "under", "armour", "hunting", "clothes", "for", "men" ]
[ 11, 12, 19, 9, 13, 14 ]
[ "plantar", "fasciitis", "shoes", "for", "women" ]
[ 9, 10, 10, 13, 14 ]
[ "slim", "fast", "keto" ]
[ 11, 12, 9 ]
[ "tropical", "tank" ]
[ 17, 9 ]
[ "370z", "coilovers" ]
[ 17, 9 ]
[ "supreme", "outfit", "for", "dog" ]
[ 7, 9, 17, 18 ]
[ "american", "sportworks" ]
[ 25, 26 ]
[ "mens", "wool", "pants", "dress" ]
[ 13, 15, 9, 10 ]
[ "christmas", "tree", "fence" ]
[ 9, 10, 10 ]
[ "steering", "wheel", "knob" ]
[ 9, 10, 10 ]
[ "miss", "onederful" ]
[ 7, 8 ]
[ "peugeot", "salt", "and", "pepper", "mill" ]
[ 11, 9, 10, 10, 10 ]
[ "hp", "spectre" ]
[ 11, 25 ]
[ "purple", "pedals", "9/16" ]
[ 3, 9, 1 ]
[ "outdoor", "slide", "sandal" ]
[ 17, 9, 10 ]
[ "japanese", "bicycle", "gear" ]
[ 21, 9, 10 ]
[ "marvel", "legends", "spider", "girl" ]
[ 7, 8, 7, 8 ]
[ "assassins", "creed", "odyssey", "pc", "code" ]
[ 7, 8, 8, 9, 10 ]
[ "loose", "zip", "up", "sweatshirt", "women" ]
[ 31, 17, 18, 9, 13 ]
[ "positive", "energy", "bracelet", "for", "women" ]
[ 17, 18, 9, 13, 14 ]
[ "iphone", "xr", "halloween", "case" ]
[ 25, 26, 19, 9 ]
[ "pvc", "joints" ]
[ 9, 10 ]
[ "white", "vanity" ]
[ 3, 9 ]
[ "iphone", "11", "tv", "adapter" ]
[ 25, 26, 9, 10 ]
[ "headband", "bandana" ]
[ 9, 10 ]
[ "stretch", "medical", "scrubs" ]
[ 17, 9, 10 ]
[ "airpods", "case", "dragon", "ball", "z" ]
[ 25, 9, 7, 8, 8 ]
[ "wavemaster", "punch", "bag" ]
[ 25, 9, 10 ]
[ "studded", "belt" ]
[ 31, 9 ]
[ "white", "pantrys" ]
[ 3, 9 ]
[ "dickies", "work", "pants" ]
[ 11, 19, 9 ]
[ "crate", "pads" ]
[ 9, 10 ]
[ "la", "blanca", "bandeau" ]
[ 11, 12, 25 ]
[ "white", "maid", "cap" ]
[ 3, 9, 10 ]
[ "lockable", "chest" ]
[ 9, 10 ]
[ "spanish", "love", "cards" ]
[ 17, 9, 10 ]
[ "columbia", "gaiter" ]
[ 11, 9 ]
[ "kids", "toys", "age", "10" ]
[ 13, 9, 13, 14 ]
[ "stud", "tee", "shirt", "for", "men" ]
[ 7, 9, 10, 13, 14 ]
[ "women's", "heated", "jackets" ]
[ 13, 17, 9 ]
[ "hair", "caps", "for", "women", "shower" ]
[ 9, 10, 13, 14, 17 ]
[ "large", "unpainted", "eggs" ]
[ 1, 5, 9 ]
[ "black", "shorts", "men" ]
[ 3, 9, 13 ]
[ "dc", "high", "tops", "women" ]
[ 11, 9, 10, 13 ]
[ "whip", "it", "cracker" ]
[ 11, 12, 9 ]
[ "umidigi", "smartwatch" ]
[ 11, 25 ]
[ "black", "booties", "leather", "lace", "up" ]
[ 3, 9, 15, 31, 32 ]
[ "game", "camera", "mounting", "bracket" ]
[ 9, 10, 10, 10 ]
[ "vdi", "to", "hdmi", "cable" ]
[ 9, 10, 10, 10 ]
[ "fuzzy", "circular", "rug", "5", "ft" ]
[ 31, 31, 9, 1, 2 ]
[ "airsoft", "vest" ]
[ 17, 9 ]
[ "cordless", "small", "vacuum", "handheld" ]
[ 17, 1, 9, 17 ]
[ "digital", "tv", "antenna", "outdoor" ]
[ 17, 18, 9, 17 ]
[ "wireless", "dog", "fence" ]
[ 9, 10, 10 ]
[ "kindergarten", "workbooks", "age", "5-6" ]
[ 13, 9, 13, 14 ]
[ "elsa", "costume", "for", "girls" ]
[ 7, 9, 13, 14 ]