Datasets:

tokens
sequencelengths
2
12
ner_tags
sequencelengths
2
12
[ "dress", "formal", "for", "women" ]
[ 9, 17, 13, 14 ]
[ "pink", "toddler", "boy", "shirt" ]
[ 3, 13, 14, 9 ]
[ "24", "month", "girl", "clothes" ]
[ 13, 14, 13, 9 ]
[ "training", "underwear" ]
[ 19, 9 ]
[ "kinesio", "tape" ]
[ 9, 10 ]
[ "find", "me" ]
[ 7, 8 ]
[ "curtain", "for", "slider" ]
[ 9, 17, 18 ]
[ "jennifer", "aniston", "perfume", "for", "women" ]
[ 11, 12, 9, 13, 14 ]
[ "tiara", "sweet", "16" ]
[ 9, 19, 20 ]
[ "fleece-lined", "pants", "women" ]
[ 17, 9, 13 ]
[ "james", "goll", "dreams" ]
[ 11, 12, 7 ]
[ "folding", "shelves" ]
[ 17, 9 ]
[ "better", "not", "younger" ]
[ 11, 12, 12 ]
[ "desktop", "computer", "without", "monitor" ]
[ 9, 10, 5, 6 ]
[ "nude", "heels", "for", "women" ]
[ 3, 9, 13, 14 ]
[ "maniquin", "heads", "with", "hair", "for", "kids" ]
[ 9, 10, 17, 18, 13, 14 ]
[ "aleve", "liquid", "gel" ]
[ 25, 9, 10 ]
[ "black", "floral", "tapestry" ]
[ 3, 3, 9 ]
[ "craft", "painters", "tape" ]
[ 19, 9, 10 ]
[ "amla", "oil", "for", "hair" ]
[ 9, 10, 17, 18 ]
[ "library", "of", "flowers" ]
[ 25, 26, 26 ]
[ "stickman", "costume", "for", "adults" ]
[ 7, 9, 13, 14 ]
[ "laundry", "room", "decorations" ]
[ 17, 18, 9 ]
[ "af1", "laces" ]
[ 17, 9 ]
[ "small", "cat", "litter", "box", "top", "entry" ]
[ 1, 9, 10, 10, 31, 32 ]
[ "expo", "international", "fringe", "trim" ]
[ 11, 12, 9, 10 ]
[ "family", "games" ]
[ 13, 9 ]
[ "rv", "refrigerator", "fan", "battery", "operated" ]
[ 17, 9, 10, 17, 18 ]
[ "who", "would", "win", "books" ]
[ 7, 8, 8, 9 ]
[ "7", "iphone" ]
[ 25, 26 ]
[ "raymond", "weil", "strap" ]
[ 11, 12, 9 ]
[ "dunkin", "ground", "coffee", "30", "oz" ]
[ 11, 9, 10, 1, 2 ]
[ "smartphone", "tripod", "mount" ]
[ 17, 9, 10 ]
[ "quilting", "blue", "wave", "fabrics" ]
[ 19, 3, 25, 9 ]
[ "tesla", "gun" ]
[ 9, 10 ]
[ "ots", "rival", "chiefs" ]
[ 7, 8, 8 ]
[ "children’s", "board", "books" ]
[ 13, 9, 10 ]
[ "spanx", "bra" ]
[ 15, 9 ]
[ "camping", "sleeping", "pad" ]
[ 19, 9, 10 ]
[ "infusio", "coffee", "k", "cups" ]
[ 11, 17, 9, 10 ]
[ "knifes", "sharpener", "stone" ]
[ 9, 10, 15 ]
[ "pantyhose", "for", "women" ]
[ 9, 13, 14 ]
[ "hurricane", "spin", "mop" ]
[ 11, 9, 10 ]
[ "bluetooth", "headphones", "quality" ]
[ 17, 9, 17 ]
[ "amp", "running", "boards" ]
[ 11, 9, 10 ]
[ "shotgun", "recoil", "pad" ]
[ 17, 9, 10 ]
[ "titanium", "&", "boar", "bristle", "brush" ]
[ 15, 16, 16, 9, 10 ]
[ "white", "sethascopes" ]
[ 3, 9 ]
[ "plus", "hoodies", "for", "women" ]
[ 1, 9, 13, 14 ]
[ "christmas", "decorating" ]
[ 19, 0 ]
[ "watergun", "packs" ]
[ 9, 29 ]
[ "motor", "shaft", "adapter" ]
[ 9, 10, 10 ]
[ "wrangler", "relaxed", "fit", "jeans", "for", "men" ]
[ 11, 31, 32, 9, 13, 14 ]
[ "inflatable", "full", "mattress", "with", "built", "in", "pump" ]
[ 17, 31, 9, 17, 18, 18, 18 ]
[ "26", "italian", "songs", "and", "arias", "medium", "high" ]
[ 7, 8, 8, 8, 8, 8, 8 ]
[ "curly", "hair", "products", "without", "alcohol" ]
[ 0, 0, 0, 0, 0 ]
[ "surface", "pad", "twelve", "south" ]
[ 9, 10, 25, 26 ]
[ "8", "inch", "memory", "foam", "mattress", "full" ]
[ 1, 2, 15, 16, 9, 31 ]
[ "rolex", "watch" ]
[ 11, 9 ]
[ "speakers", "bluetooth", "with", "microphone" ]
[ 9, 17, 17, 18 ]
[ "the", "salt", "path", "raynor", "winn" ]
[ 7, 8, 8, 11, 12 ]
[ "avenger", "costumes", "for", "women" ]
[ 7, 9, 13, 14 ]
[ "pack", "and", "play" ]
[ 9, 10, 10 ]
[ "superman", "infant", "costume" ]
[ 7, 13, 9 ]
[ "solarium", "kit" ]
[ 9, 10 ]
[ "0cedar", "spin", "mop", "without", "bucket" ]
[ 11, 9, 10, 5, 6 ]
[ "satin", "mint", "green", "bow", "tie" ]
[ 15, 3, 4, 9, 10 ]
[ "winter", "scarf", "for", "men" ]
[ 19, 9, 13, 14 ]
[ "the", "manor", "house", "murder" ]
[ 7, 8, 8, 8 ]
[ "kt", "tape", "x" ]
[ 11, 12, 25 ]
[ "mercedes", "w204", "led", "parking", "lights" ]
[ 11, 25, 17, 9, 10 ]
[ "o", "cedar", "easy", "squeeze", "sponge", "mop", "refill" ]
[ 11, 12, 25, 26, 9, 10, 10 ]
[ "baby", "kta" ]
[ 25, 26 ]
[ "english", "laundry" ]
[ 11, 12 ]
[ "boys", "pants", "3-6", "months" ]
[ 13, 9, 13, 14 ]
[ "wood", "playground", "set" ]
[ 15, 9, 10 ]
[ "shower", "curtain", "rings" ]
[ 9, 10, 10 ]
[ "gold", "hoop", "earrings", "for", "women" ]
[ 15, 31, 9, 13, 14 ]
[ "2", "inch", "belts", "for", "men" ]
[ 1, 2, 9, 13, 14 ]
[ "hario", "v60", "filter" ]
[ 11, 25, 9 ]
[ "wedge", "tall", "boots" ]
[ 9, 10, 10 ]
[ "hydroflask", "standard", "mouth", "water", "bottle" ]
[ 11, 31, 32, 9, 10 ]
[ "kobe", "bryant", "face", "mask" ]
[ 7, 8, 9, 10 ]
[ "biking", "water", "and", "phone", "holder" ]
[ 9, 10, 0, 9, 10 ]
[ "reading", "glasses", "computer" ]
[ 9, 10, 17 ]
[ "guess", "polarized", "sunglasses" ]
[ 11, 17, 9 ]
[ "wacom", "screen", "protector" ]
[ 11, 9, 10 ]
[ "cardigan", "jacket", "sweaters", "for", "women" ]
[ 17, 18, 9, 13, 14 ]
[ "picture", "wall", "hangers", "without", "nails" ]
[ 9, 10, 10, 17, 18 ]
[ "embroidery", "hoop", "without", "screw" ]
[ 9, 10, 5, 6 ]
[ "not", "my", "circus", "not", "my", "monkeys", "t", "shirt" ]
[ 7, 8, 8, 8, 8, 8, 9, 10 ]
[ "iron", "man", "adult", "costume" ]
[ 7, 8, 13, 9 ]
[ "laptop", "cooling", "pad" ]
[ 17, 9, 10 ]
[ "hairbands", "for", "women's", "hair" ]
[ 9, 17, 18, 18 ]
[ "men", "grey", "tuxedo" ]
[ 13, 3, 9 ]
[ "trickle", "charger" ]
[ 9, 10 ]
[ "motion", "activated", "solar", "lights" ]
[ 17, 18, 9, 10 ]
[ "streaming", "preamplifier" ]
[ 25, 9 ]
[ "phone", "book" ]
[ 9, 10 ]
[ "adjustable", "dumbbells" ]
[ 17, 9 ]