Datasets:
bltlab
/
queryner

Dataset card Data Studio Files Community
2
tokens
sequencelengths
2
12
ner_tags
sequencelengths
2
12
[ "nearsighted", "glasses", "men" ]
[ 9, 10, 13 ]
[ "spiderman", "costume", "adult" ]
[ 7, 9, 13 ]
[ "big", "kids", "chair" ]
[ 31, 13, 9 ]
[ "hamster", "food" ]
[ 9, 10 ]
[ "predator", "gaming", "laptop" ]
[ 7, 17, 9 ]
[ "green", "one", "shoulder", "dress" ]
[ 3, 31, 32, 9 ]
[ "key", "finder" ]
[ 9, 10 ]
[ "john", "grisham" ]
[ 11, 12 ]
[ "sippy", "cup" ]
[ 9, 10 ]
[ "75th", "bday", "tshirt", "man" ]
[ 19, 20, 9, 13 ]
[ "vet", "classics", "no", "scoot" ]
[ 11, 12, 25, 26 ]
[ "frontal", "wigs" ]
[ 17, 9 ]
[ "petite", "womens", "pants" ]
[ 31, 13, 9 ]
[ "mma", "shorts" ]
[ 19, 9 ]
[ "swivel", "fishing" ]
[ 9, 10 ]
[ "farmhouse", "light", "fixtures", "flush", "mount", "2", "pack" ]
[ 9, 10, 10, 17, 18, 29, 30 ]
[ "best", "laptop", "backpack", "for", "travel" ]
[ 0, 9, 10, 19, 20 ]
[ "halloween", "led", "string", "lights" ]
[ 19, 9, 10, 10 ]
[ "toys", "boys", "age", "8" ]
[ 9, 13, 14, 14 ]
[ "soft", "camera", "strap" ]
[ 17, 9, 10 ]
[ "rc", "gliders", "and", "sailplanes" ]
[ 9, 10, 10, 10 ]
[ "yugioh", "ninja", "cards" ]
[ 7, 7, 9 ]
[ "fairy", "lights", "without", "plug" ]
[ 9, 10, 5, 6 ]
[ "acrylic", "nail", "brush", "18" ]
[ 15, 9, 10, 1 ]
[ "boys", "athletic", "socks" ]
[ 13, 17, 9 ]
[ "skinny", "jeans", "for", "women" ]
[ 9, 10, 13, 14 ]
[ "drone", "dropping", "device" ]
[ 9, 10, 10 ]
[ "eyelash", "tinting", "kit", "black" ]
[ 9, 10, 10, 3 ]
[ "electric", "kettle" ]
[ 17, 9 ]
[ "memory", "foam", "mattress", "sale" ]
[ 15, 16, 9, 23 ]
[ "maxxis", "24", "inch", "tire" ]
[ 11, 1, 2, 9 ]
[ "3w", "landscape", "light" ]
[ 1, 17, 9 ]
[ "samsung", "s7", "edge" ]
[ 11, 25, 26 ]
[ "sliding", "glass", "door", "dog", "protector" ]
[ 9, 10, 10, 17, 18 ]
[ "phillips", "norelco", "replacement", "blades" ]
[ 11, 12, 9, 10 ]
[ "dogtra", "280c", "2", "dog", "remote" ]
[ 11, 25, 26, 26, 9 ]
[ "gucci", "belts" ]
[ 11, 9 ]
[ "wipex", "natural", "gym", "&", "fitness", "equipment", "wipes" ]
[ 11, 17, 9, 10, 10, 10, 10 ]
[ "spoons", "for", "baby", "self", "feeding" ]
[ 9, 13, 14, 17, 18 ]
[ "rachel", "ray", "dog", "food", "40", "lb", "bag" ]
[ 11, 12, 9, 10, 1, 2, 17 ]
[ "days", "gone", "xbox", "one" ]
[ 7, 8, 25, 26 ]
[ "usb", "camera" ]
[ 9, 17 ]
[ "simply", "southern", "chaos", "coordinator" ]
[ 11, 12, 12, 12 ]
[ "sandisk", "memory", "card" ]
[ 11, 9, 10 ]
[ "work", "vest", "for", "men" ]
[ 9, 10, 13, 14 ]
[ "v11", "dyson" ]
[ 25, 9 ]
[ "ps4", "controller", "charger", "cable" ]
[ 25, 9, 10, 10 ]
[ "carolyn", "brown", "kindle", "books", "free" ]
[ 11, 12, 25, 9, 23 ]
[ "power", "fusion", "razor" ]
[ 25, 26, 9 ]
[ "counting", "down", "with", "you" ]
[ 7, 8, 8, 8 ]
[ "usb", "controller", "extension", "cable" ]
[ 9, 17, 18, 9 ]
[ "espaciadores", "de", "rines" ]
[ 9, 10, 10 ]
[ "high", "heels", "for", "women" ]
[ 9, 10, 13, 14 ]
[ "lumix", "point", "and", "shoot", "digital", "cameras" ]
[ 11, 17, 18, 18, 9, 10 ]
[ "pink", "table", "cloths", "for", "parties" ]
[ 3, 9, 10, 17, 18 ]
[ "paper", "plates", "8", "1/2" ]
[ 15, 9, 1, 2 ]
[ "earbuds", "sport" ]
[ 9, 19 ]
[ "brick", "wallpaper", "3d", "textured" ]
[ 3, 9, 31, 32 ]
[ "all", "black" ]
[ 3, 4 ]
[ "reclaim", "it", "insecticide" ]
[ 25, 26, 9 ]
[ "accuquilt", "mix", "and", "match" ]
[ 11, 25, 26, 26 ]
[ "picnic", "mat" ]
[ 9, 10 ]
[ "reebok", "ufc", "backpack" ]
[ 11, 7, 9 ]
[ "slide", "rider" ]
[ 9, 10 ]
[ "saw", "palmetto" ]
[ 9, 10 ]
[ "needle", "tip", "bottle" ]
[ 31, 32, 9 ]
[ "director", "chair", "without", "arms" ]
[ 17, 9, 5, 6 ]
[ "graco", "verb", "carseat" ]
[ 11, 12, 9 ]
[ "squegees", "shower" ]
[ 9, 17 ]
[ "purneat", "refrigerator", "water", "filter" ]
[ 9, 10, 10, 10 ]
[ "sleepsuit", "newborn" ]
[ 9, 13 ]
[ "rc", "raptor", "truck" ]
[ 9, 17, 9 ]
[ "towel", "racks", "for", "bathroom" ]
[ 9, 10, 17, 18 ]
[ "exact", "fit", "mens", "belt" ]
[ 31, 32, 13, 9 ]
[ "bathroom", "drawer", "organizers", "and", "storage" ]
[ 9, 10, 10, 17, 18 ]
[ "iphone", "xr", "protective", "case" ]
[ 25, 26, 9, 10 ]
[ "leg", "compression", "machine", "for", "home", "use" ]
[ 9, 10, 10, 17, 18, 18 ]
[ "skates", "for", "women" ]
[ 9, 13, 14 ]
[ "metallic", "pens" ]
[ 15, 9 ]
[ "crispin", "cross", "of", "lead" ]
[ 7, 8, 8, 8 ]
[ "pink", "hair", "accessories" ]
[ 3, 17, 9 ]
[ "medify", "airx" ]
[ 11, 25 ]
[ "glass", "jar", "with", "whire" ]
[ 15, 9, 17, 18 ]
[ "baby", "safe", "sleeping" ]
[ 13, 17, 18 ]
[ "womens", "riding", "boot" ]
[ 13, 19, 9 ]
[ "orange", "bells" ]
[ 3, 9 ]
[ "welch's", "variety", "pack" ]
[ 11, 17, 9 ]
[ "quiksilver", "beanie" ]
[ 11, 9 ]
[ "turtle", "beach", "stealth", "700", "xbox", "one" ]
[ 11, 12, 25, 26, 25, 26 ]
[ "archery", "quiverd" ]
[ 9, 10 ]
[ "dumbbell", "set", "with", "rack", "5-50", "lbs" ]
[ 9, 10, 17, 18, 1, 2 ]
[ "cap", "toe", "brown", "shoes" ]
[ 17, 18, 3, 9 ]
[ "black", "shirt", "womens" ]
[ 3, 9, 13 ]
[ "usb", "flash", "drive", "crystal" ]
[ 9, 10, 10, 31 ]
[ "sneaker", "shields" ]
[ 9, 10 ]
[ "goodthreada", "cardigan", "wool" ]
[ 11, 17, 9 ]
[ "strong", "vibrator" ]
[ 17, 9 ]
[ "mens", "boxer", "briefs", "calvin", "klein" ]
[ 13, 9, 10, 11, 12 ]
[ "window", "tint", "see", "out", "but", "not", "in" ]
[ 9, 10, 17, 18, 18, 18, 18 ]
[ "gta", "san", "andreas" ]
[ 7, 8, 8 ]