Datasets:
bltlab
/
queryner

Dataset card Data Studio Files Community
2
tokens
sequencelengths
2
12
ner_tags
sequencelengths
2
12
[ "coffee", "silicone", "tray" ]
[ 17, 15, 9 ]
[ "soil", "probe", "tool" ]
[ 9, 10, 10 ]
[ "cute", "airpods", "case" ]
[ 17, 25, 9 ]
[ "2", "piece", "outfits", "for", "teen", "girls" ]
[ 17, 18, 9, 13, 14, 14 ]
[ "christmas", "picture", "frame", "photo", "booth" ]
[ 19, 17, 18, 9, 10 ]
[ "frederique", "constant" ]
[ 11, 12 ]
[ "ar", "15", "sticker" ]
[ 7, 8, 9 ]
[ "sexy", "club", "outfits", "for", "women", "party", "club", "night" ]
[ 17, 19, 9, 13, 14, 19, 20, 20 ]
[ "sequined", "pillows", "that", "change", "color" ]
[ 15, 9, 17, 18, 18 ]
[ "ergonomic", "office", "chair", "with", "adjustable", "arms", "for", "short", "person" ]
[ 17, 9, 10, 17, 18, 18, 13, 14, 14 ]
[ "wood", "napkin", "holders" ]
[ 15, 9, 10 ]
[ "columbia", "knee", "high", "socks" ]
[ 11, 17, 18, 9 ]
[ "masquerade", "mask", "for", "women" ]
[ 19, 9, 13, 14 ]
[ "play", "mobile" ]
[ 11, 12 ]
[ "dragon", "tongue", "bean", "seeds" ]
[ 0, 0, 0, 0 ]
[ "watch", "braslet", "for", "man" ]
[ 9, 10, 13, 14 ]
[ "hand", "sanitizer" ]
[ 9, 10 ]
[ "queen", "pillows", "set", "of", "4" ]
[ 1, 9, 29, 30, 30 ]
[ "tea", "tree", "shampoo" ]
[ 11, 12, 9 ]
[ "martha", "stewart", "notebook", "by", "avery" ]
[ 11, 12, 9, 11, 12 ]
[ "pool", "heater", "hl150" ]
[ 9, 10, 25 ]
[ "daddy", "little", "princess", "outfit" ]
[ 7, 8, 8, 9 ]
[ "swiss", "watches", "for", "men" ]
[ 11, 9, 13, 14 ]
[ "girls", "trench", "coat" ]
[ 13, 9, 10 ]
[ "fruit", "wraps" ]
[ 9, 10 ]
[ "wamsutta", "micro", "cotton", "towels" ]
[ 11, 15, 16, 9 ]
[ "led", "transformer", "24v" ]
[ 9, 10, 1 ]
[ "amber", "pendants" ]
[ 15, 9 ]
[ "mens", "swim", "trunks", "us", "flag" ]
[ 13, 9, 10, 7, 8 ]
[ "6", "sanding", "discs", "hook", "and", "loop" ]
[ 29, 9, 10, 17, 18, 18 ]
[ "bathroom", "cabinet", "hardware", "brushed", "nickel" ]
[ 17, 9, 10, 15, 16 ]
[ "red", "denim", "jacket", "for", "men" ]
[ 3, 15, 9, 13, 14 ]
[ "press", "tshirt", "machine" ]
[ 9, 10, 10 ]
[ "t", "shirts", "for", "women" ]
[ 9, 10, 13, 14 ]
[ "collapsible", "straw" ]
[ 17, 9 ]
[ "bathtub", "hair", "catcher" ]
[ 17, 9, 10 ]
[ "b450", "tomahawk", "max" ]
[ 25, 26, 26 ]
[ "laundry", "dog", "hair", "catcher" ]
[ 9, 10, 10, 10 ]
[ "acorn", "bookends" ]
[ 31, 9 ]
[ "woman's", "costume" ]
[ 13, 9 ]
[ "ocyclone", "iphone", "11", "pro", "max", "case" ]
[ 11, 25, 26, 26, 26, 9 ]
[ "soap", "making", "for", "beginners", "without", "lye", "recipes", "for" ]
[ 7, 8, 8, 8, 8, 8, 8, 8 ]
[ "the", "unlikely", "thru", "hiker" ]
[ 7, 8, 8, 8 ]
[ "brown", "blackout", "lined", "curtains", "120", "inch" ]
[ 3, 17, 17, 9, 1, 2 ]
[ "tara", "hollaway", "series" ]
[ 7, 8, 9 ]
[ "l", "desk" ]
[ 31, 9 ]
[ "10", "inch", "saute", "pan", "nonstick", "without", "long", "handle" ]
[ 1, 2, 9, 10, 17, 17, 18, 18 ]
[ "press", "on", "nails", "almond", "shape" ]
[ 9, 10, 10, 31, 32 ]
[ "sweaters", "aesthetic" ]
[ 9, 17 ]
[ "organizer", "desk" ]
[ 9, 10 ]
[ "tv", "headphones", "wireless" ]
[ 17, 9, 17 ]
[ "pla", "filament" ]
[ 9, 10 ]
[ "magnetic", "face", "mask" ]
[ 17, 9, 10 ]
[ "new", "kid", "craft" ]
[ 7, 8, 11 ]
[ "iron", "spider", "posable", "action", "figure" ]
[ 7, 8, 8, 8, 9 ]
[ "45", "long", "curtains" ]
[ 1, 1, 9 ]
[ "xbox", "controller", "charger" ]
[ 25, 9, 10 ]
[ "baby", "blanket", "with", "name" ]
[ 13, 9, 17, 18 ]
[ "girls", "guid" ]
[ 7, 8 ]
[ "scream", "tshirt" ]
[ 7, 9 ]
[ "riders", "of", "thunder", "realm" ]
[ 7, 8, 8, 8 ]
[ "pure", "magnesium", "citrate", "180", "capsules" ]
[ 17, 9, 10, 29, 30 ]
[ "womens", "shirt", "dress" ]
[ 13, 9, 10 ]
[ "tree", "of", "life", "ring" ]
[ 31, 32, 32, 9 ]
[ "kreg", "tool" ]
[ 11, 12 ]
[ "texas", "a&m", "cap" ]
[ 7, 8, 9 ]
[ "fiber", "termination", "kit" ]
[ 9, 10, 10 ]
[ "(can't", "live", "without", "your)", "love", "and", "affection", "nelson" ]
[ 7, 8, 8, 8, 8, 8, 8, 11 ]
[ "pie", "plate" ]
[ 17, 9 ]
[ "razer", "phone", "2" ]
[ 11, 25, 26 ]
[ "suede", "brush", "and", "eraser", "for", "shoes" ]
[ 15, 9, 10, 10, 17, 18 ]
[ "bar", "soap" ]
[ 31, 9 ]
[ "artificial", "flowers", "for", "decoration" ]
[ 9, 10, 17, 18 ]
[ "chain", "necklace" ]
[ 31, 9 ]
[ "map", "picture" ]
[ 9, 10 ]
[ "to", "paint", "without", "thinking" ]
[ 7, 8, 8, 8 ]
[ "bell's", "seasoning" ]
[ 25, 9 ]
[ "cardiff", "travel", "headrest" ]
[ 11, 9, 10 ]
[ "apartment", "decor" ]
[ 17, 9 ]
[ "scott", "wolter" ]
[ 11, 12 ]
[ "womens", "fleece", "robe" ]
[ 13, 15, 9 ]
[ "cute", "car", "accessories" ]
[ 17, 9, 10 ]
[ "boho", "dress", "casual" ]
[ 17, 9, 17 ]
[ "flasks", "for", "liquor", "for", "men" ]
[ 9, 17, 18, 13, 14 ]
[ "dodge", "charger", "accessories" ]
[ 17, 9, 10 ]
[ "benuo", "iphone", "case" ]
[ 11, 25, 9 ]
[ "beard", "comb", "hot" ]
[ 9, 10, 17 ]
[ "shoe", "wearing", "helper" ]
[ 17, 9, 10 ]
[ "head", "cover", "rays" ]
[ 9, 10, 7 ]
[ "corner", "tv", "wall", "mount" ]
[ 17, 17, 9, 10 ]
[ "sociology", "of", "mental", "disorder" ]
[ 7, 8, 8, 8 ]
[ "go", "kart", "helmet", "youth" ]
[ 17, 18, 9, 13 ]
[ "gundry", "gut", "restore" ]
[ 11, 25, 26 ]
[ "stickers", "cute", "aesthetic" ]
[ 9, 17, 18 ]
[ "heater", "for", "bedroom" ]
[ 9, 17, 18 ]
[ "car", "seat", "covers", "for", "equinox" ]
[ 17, 9, 10, 17, 18 ]
[ "king", "duvet" ]
[ 31, 9 ]
[ "building", "blocks", "huge" ]
[ 9, 10, 31 ]
[ "car", "sun", "shade", "for", "windshield" ]
[ 17, 9, 10, 17, 18 ]
[ "cauliflower", "pizza" ]
[ 0, 0 ]