Datasets:
bltlab
/
queryner

Dataset card Data Studio Files Community
2
tokens
sequencelengths
2
12
ner_tags
sequencelengths
2
12
[ "nerf", "nailbiter" ]
[ 11, 25 ]
[ "shoei", "gt", "air", "2" ]
[ 11, 25, 26, 26 ]
[ "comedy", "central" ]
[ 11, 12 ]
[ "western", "movies", "prime", "only" ]
[ 21, 9, 0, 0 ]
[ "clothes", "drying", "rack" ]
[ 17, 9, 10 ]
[ "fashion", "nova" ]
[ 11, 12 ]
[ "enamel", "pin", "display" ]
[ 9, 10, 10 ]
[ "troy", "bilt", "lawn", "mower", "parts" ]
[ 11, 12, 9, 10, 10 ]
[ "harry", "potter", "necklace", "for", "boys" ]
[ 7, 8, 9, 13, 14 ]
[ "dream", "on", "me", "play", "pen" ]
[ 11, 12, 12, 9, 10 ]
[ "flat", "extension", "cord" ]
[ 31, 9, 10 ]
[ "gus", "gus", "cinderella", "costume" ]
[ 7, 8, 8, 9 ]
[ "boxing", "shoes" ]
[ 19, 9 ]
[ "sls", "free", "toothpaste" ]
[ 17, 18, 9 ]
[ "vr", "goggles" ]
[ 9, 10 ]
[ "women's", "elf", "shoes" ]
[ 13, 7, 9 ]
[ "12", "bike", "girls" ]
[ 1, 9, 13 ]
[ "javier", "castillo" ]
[ 7, 8 ]
[ "sexy", "plus", "size", "halloween", "coustumes" ]
[ 17, 1, 2, 19, 9 ]
[ "kim", "krans", "tarot", "cards" ]
[ 11, 12, 9, 10 ]
[ "hallmark", "movies", "on", "prime" ]
[ 11, 9, 0, 0 ]
[ "lumbar", "pillow", "cover" ]
[ 9, 10, 10 ]
[ "family", "game", "night" ]
[ 19, 20, 20 ]
[ "bracelet", "multitool" ]
[ 31, 9 ]
[ "frame", "for", "12", "x", "16", "picture", "with", "mat" ]
[ 9, 1, 2, 2, 2, 17, 17, 18 ]
[ "oakley", "holbrook", "xl" ]
[ 11, 11, 25 ]
[ "black", "gift", "bags" ]
[ 3, 9, 10 ]
[ "lipctine", "led" ]
[ 9, 10 ]
[ "neon", "dry", "erase", "markers", "for", "black", "dry", "erase", "board" ]
[ 17, 18, 17, 9, 17, 18, 18, 18, 18 ]
[ "pink", "and", "blue", "tshirt", "women" ]
[ 3, 0, 3, 9, 13 ]
[ "women", "soccer", "shin", "guards" ]
[ 13, 19, 9, 10 ]
[ "mikel", "kors", "bags", "women" ]
[ 11, 12, 9, 13 ]
[ "pool", "table", "ping", "pong", "table", "top", "combo" ]
[ 9, 10, 10, 10, 10, 10, 17 ]
[ "blackmagic", "pocket", "cinema", "camera", "4k" ]
[ 11, 25, 26, 9, 17 ]
[ "3", "ring", "day", "planner", "pad" ]
[ 17, 18, 9, 10, 10 ]
[ "mens", "umidigi", "smart", "watch" ]
[ 13, 11, 9, 10 ]
[ "squirt", "gun" ]
[ 9, 10 ]
[ "daisy", "stickers", "for", "cars" ]
[ 31, 9, 17, 18 ]
[ "ho", "trains", "and", "accessories", "buildings" ]
[ 25, 9, 10, 10, 0 ]
[ "flower", "for", "dress", "decoration" ]
[ 9, 17, 18, 18 ]
[ "flexible", "shaft", "extension", "bits" ]
[ 17, 9, 10, 10 ]
[ "spray", "paint" ]
[ 9, 10 ]
[ "mini", "projectors" ]
[ 31, 9 ]
[ "vinyl", "javier", "solis" ]
[ 9, 11, 12 ]
[ "toddler", "toys", "for", "girls", "age", "2" ]
[ 13, 9, 13, 14, 14, 14 ]
[ "womens", "boots" ]
[ 13, 9 ]
[ "cold", "weather", "tent" ]
[ 17, 18, 9 ]
[ "spike", "air", "cleaner", "harley" ]
[ 31, 9, 10, 17 ]
[ "led", "lights", "for", "tv" ]
[ 9, 10, 17, 18 ]
[ "baby", "boy", "infant", "winter", "clothes" ]
[ 13, 14, 14, 19, 9 ]
[ "pure", "water", "filter", "replacement", "for", "gravity", "filter" ]
[ 17, 9, 10, 10, 17, 18, 18 ]
[ "surgical", "masks", "disposable" ]
[ 9, 10, 17 ]
[ "converse", "high", "tops", "women" ]
[ 11, 31, 32, 13 ]
[ "karrimor", "x", "lite", "15l", "running", "backpack" ]
[ 11, 25, 26, 26, 9, 10 ]
[ "ez", "tote", "cart" ]
[ 9, 10, 10 ]
[ "3.5mm", "fm", "antenna" ]
[ 1, 9, 10 ]
[ "tall", "folding", "stool" ]
[ 31, 17, 9 ]
[ "hospice", "books" ]
[ 7, 9 ]
[ "bad", "sheet" ]
[ 9, 10 ]
[ "knee", "walker", "rental" ]
[ 9, 10, 17 ]
[ "dachshund", "gifts" ]
[ 31, 9 ]
[ "green", "purse" ]
[ 3, 9 ]
[ "coffee", "sugar", "free", "syrups", "pump" ]
[ 17, 18, 18, 9, 10 ]
[ "womens", "addiasas", "leggings" ]
[ 13, 11, 9 ]
[ "evening", "dresses", "for", "women", "evening", "party" ]
[ 9, 10, 13, 14, 19, 20 ]
[ "towels", "bathroom", "fluffy" ]
[ 9, 17, 18 ]
[ "hasbro", "troll" ]
[ 11, 7 ]
[ "not", "your", "mothers", "dry", "shampoo", "dark" ]
[ 11, 12, 12, 9, 10, 3 ]
[ "sony", "noise", "cancelling", "headphones" ]
[ 11, 17, 18, 9 ]
[ "if", "the", "shoe", "fits" ]
[ 7, 8, 8, 8 ]
[ "bushnell", "powerview", "binoculars" ]
[ 11, 25, 26 ]
[ "toner", "for", "face" ]
[ 9, 17, 18 ]
[ "gugilermo", "marconi" ]
[ 11, 12 ]
[ "otoscope", "set" ]
[ 9, 10 ]
[ "replacement", "hose", "for", "shop", "vac", "1.25-inch", "by", "8-foot" ]
[ 17, 9, 17, 18, 18, 1, 2, 2 ]
[ "small", "heated", "dish" ]
[ 1, 9, 10 ]
[ "womens", "orthofeet", "sneakers" ]
[ 13, 11, 9 ]
[ "brita", "water", "bottle", "filter" ]
[ 11, 9, 10, 10 ]
[ "hipster", "shirts", "for", "men" ]
[ 17, 9, 13, 14 ]
[ "12", "inch", "miter", "saw" ]
[ 1, 2, 9, 10 ]
[ "apple", "watch", "44m", "band" ]
[ 11, 25, 1, 9 ]
[ "quest", "study", "bible" ]
[ 7, 8, 8 ]
[ "organ", "india", "amalaki", "vitamin", "c", "immun", "system", "90", "veg", "capsul" ]
[ 11, 12, 9, 10, 10, 10, 10, 29, 30, 30 ]
[ "smart", "notebook", "single", "use" ]
[ 9, 10, 5, 6 ]
[ "rain", "shower", "splash", "pond", "water", "table" ]
[ 17, 18, 18, 18, 9, 10 ]
[ "omniheat", "jacket" ]
[ 25, 9 ]
[ "860", "evo", "500gb" ]
[ 25, 26, 1 ]
[ "elephant", "tea", "mug" ]
[ 31, 17, 9 ]
[ "billabong", "women", "pant" ]
[ 11, 13, 9 ]
[ "pink", "queen", "sheet", "set", "silk" ]
[ 3, 1, 9, 10, 15 ]
[ "nike", "rain", "jacket" ]
[ 11, 19, 9 ]
[ "caro", "white", "cream", "original" ]
[ 11, 12, 9, 5 ]
[ "4.50", "reading", "glasses" ]
[ 1, 17, 9 ]
[ "christel", "nani" ]
[ 11, 12 ]
[ "oncai", "womens", "flip", "flops" ]
[ 11, 13, 9, 10 ]
[ "shower", "shoes", "men", "size", "14" ]
[ 9, 10, 13, 1, 2 ]
[ "mason", "jar", "with", "pour", "spout" ]
[ 9, 10, 17, 18, 18 ]
[ "iphone", "clips", "for", "belt" ]
[ 25, 9, 17, 18 ]
[ "pb8", "probiotics" ]
[ 11, 9 ]
[ "wonderful", "tonight", "eric", "clapton" ]
[ 7, 8, 11, 12 ]