Datasets:
bltlab
/
queryner

Dataset card Data Studio Files Community
2
tokens
sequencelengths
2
12
ner_tags
sequencelengths
2
12
[ "hello", "kitty", "nevk", "pillow" ]
[ 7, 8, 9, 10 ]
[ "captain", "america", "apple", "watch", "band" ]
[ 7, 8, 11, 25, 9 ]
[ "assassins", "creed", "black", "flag", "collectors", "edition" ]
[ 25, 26, 26, 26, 26, 26 ]
[ "mosquito", "repellent" ]
[ 9, 10 ]
[ "electric", "blanket", "twin", "size", "sunbeam" ]
[ 9, 10, 1, 2, 11 ]
[ "pelton", "treadmill" ]
[ 11, 9 ]
[ "winter", "ski", "half", "mask" ]
[ 19, 9, 31, 9 ]
[ "satin", "robes" ]
[ 15, 9 ]
[ "glass", "paints", "for", "wine", "glasses" ]
[ 9, 10, 17, 18, 18 ]
[ "htc", "vive" ]
[ 11, 25 ]
[ "yudu", "screen", "printing", "supplies" ]
[ 11, 9, 10, 10 ]
[ "crawford", "peg", "hooks" ]
[ 11, 9, 10 ]
[ "led", "strip", "bracket" ]
[ 9, 10, 10 ]
[ "calamine", "lotion" ]
[ 9, 10 ]
[ "come", "along", "winch" ]
[ 17, 18, 9 ]
[ "oaskys", "queen", "mattress", "pad", "cover", "cooling" ]
[ 11, 1, 9, 10, 10, 17 ]
[ "1.6", "mini", "fridge", "without", "freezer" ]
[ 1, 31, 9, 5, 6 ]
[ "generic", "charger", "for", "powerbook", "g4" ]
[ 17, 9, 17, 18, 18 ]
[ "1/8", "extension", "cable", "25", "feet" ]
[ 17, 9, 10, 1, 2 ]
[ "3d", "milling", "metal" ]
[ 17, 18, 9 ]
[ "water", "softener", "system" ]
[ 9, 10, 10 ]
[ "#", "sharp", "not", "hashtag", "shirt" ]
[ 7, 8, 8, 8, 9 ]
[ "metal", "cage" ]
[ 15, 9 ]
[ "microphone", "arm", "for", "sm7b" ]
[ 9, 10, 25, 26 ]
[ "holistic", "select", "lamb" ]
[ 11, 12, 9 ]
[ "white", "hydroflask", "32", "oz", "with", "straw", "lid" ]
[ 3, 11, 1, 2, 17, 18, 18 ]
[ "rug", "grips", "for", "tile", "floor" ]
[ 9, 10, 17, 18, 18 ]
[ "pretend", "washer", "and", "dryer", "for", "kids" ]
[ 17, 9, 10, 10, 13, 14 ]
[ "campbell", "biology", "11th", "edition" ]
[ 7, 8, 8, 8 ]
[ "petits", "fours" ]
[ 9, 10 ]
[ "eraser", "tape" ]
[ 9, 10 ]
[ "squeaky", "inserts" ]
[ 17, 9 ]
[ "dual", "case", "for", "lg", "stylo", "5" ]
[ 17, 9, 17, 18, 18, 18 ]
[ "organic", "gummy", "worms" ]
[ 17, 9, 31 ]
[ "flip", "flop", "decals" ]
[ 17, 18, 9 ]
[ "kitchen", "cabinet", "knobs" ]
[ 17, 9, 10 ]
[ "torx", "wrench" ]
[ 11, 9 ]
[ "one", "cylinder", "diesel", "engine" ]
[ 17, 18, 9, 10 ]
[ "cpap", "battery", "backup", "power", "supply" ]
[ 11, 9, 10, 10, 10 ]
[ "onlypuff", "high", "waisted", "denim", "shorts" ]
[ 11, 9, 10, 15, 9 ]
[ "calvin", "klein", "sleepwear", "women" ]
[ 11, 12, 9, 13 ]
[ "silk", "sheets" ]
[ 15, 9 ]
[ "sony", "24", "mm", "lens" ]
[ 11, 1, 2, 9 ]
[ "bathroom", "items" ]
[ 9, 10 ]
[ "pocket", "size", "red", "led", "flashlight", "multipack" ]
[ 1, 2, 3, 17, 9, 29 ]
[ "3", "month", "baby", "must", "haves" ]
[ 13, 14, 14, 17, 18 ]
[ "apple", "certified", "refurbished", "iphone" ]
[ 11, 17, 5, 25 ]
[ "ipad", "32gb", "wifi" ]
[ 25, 1, 17 ]
[ "great", "mother" ]
[ 7, 8 ]
[ "life", "board", "game" ]
[ 7, 9, 10 ]
[ "16gb", "ram", "for", "macbook", "pro" ]
[ 1, 9, 17, 18, 18 ]
[ "aquage", "shampoo" ]
[ 25, 9 ]
[ "lg", "oled77cxpua" ]
[ 11, 25 ]
[ "lowa", "zepher" ]
[ 25, 26 ]
[ "roto", "tillers", "and", "cultivators" ]
[ 17, 9, 10, 10 ]
[ "1", "32", "scale", "cars" ]
[ 1, 2, 9, 10 ]
[ "ice", "cream" ]
[ 9, 10 ]
[ "guest", "chair" ]
[ 17, 9 ]
[ "kitchen", "tub", "sink", "aluamun" ]
[ 17, 31, 9, 15 ]
[ "nativity", "sets", "for", "christmas", "indoor" ]
[ 9, 10, 19, 20, 17 ]
[ "waterproof", "container" ]
[ 17, 9 ]
[ "yugi", "cards", "deck" ]
[ 9, 10, 10 ]
[ "switch", "case" ]
[ 25, 9 ]
[ "modern", "black", "desk" ]
[ 33, 3, 9 ]
[ "mattress", "pad", "queen" ]
[ 9, 10, 1 ]
[ "food", "vacuum", "packing", "machine" ]
[ 17, 9, 10, 10 ]
[ "on", "off", "road", "motorcycles" ]
[ 17, 18, 18, 9 ]
[ "keto", "drink" ]
[ 9, 10 ]
[ "halo", "movies", "dvd" ]
[ 7, 9, 10 ]
[ "solar", "patio", "umbrella", "9ft" ]
[ 17, 9, 10, 1 ]
[ "rain", "x", "rear", "wiper", "blades" ]
[ 11, 12, 17, 9, 10 ]
[ "duvet", "cover", "queen", "teal", "and", "orange" ]
[ 9, 10, 1, 3, 0, 3 ]
[ "press", "and", "release", "ice", "cream", "scoop" ]
[ 17, 18, 15, 9, 10, 10 ]
[ "tommy", "hilfiger", "coat", "for", "women" ]
[ 11, 12, 9, 13, 14 ]
[ "hot", "pink", "iphone", "xr", "case" ]
[ 3, 4, 25, 26, 9 ]
[ "nfl", "team", "helmet", "puzzle" ]
[ 7, 8, 9, 10 ]
[ "oven", "mitt", "with", "fingers" ]
[ 9, 10, 17, 18 ]
[ "bose", "wireless", "headphones" ]
[ 11, 17, 9 ]
[ "booster", "for", "5", "year", "old" ]
[ 9, 13, 14, 14, 14 ]
[ "magnet", "cube" ]
[ 17, 9 ]
[ "ben", "davis", "pants" ]
[ 11, 12, 9 ]
[ "iphone", "xr", "mama", "bear", "case" ]
[ 25, 26, 7, 8, 9 ]
[ "1", "ethernet", "port", "wall", "plate", "without", "keystone" ]
[ 29, 17, 18, 9, 10, 5, 6 ]
[ "lemon", "skin" ]
[ 0, 0 ]
[ "rexing", "dash", "cam" ]
[ 11, 25, 9 ]
[ "molybell", "one", "piece", "swimsuits", "for", "women", "high", "waisted" ]
[ 11, 17, 18, 9, 13, 14, 31, 32 ]
[ "lighter", "torch" ]
[ 9, 10 ]
[ "asus", "laptop" ]
[ 11, 9 ]
[ "brass", "shower", "faucet", "delta" ]
[ 15, 9, 10, 31 ]
[ "m3", "nylon", "thumb", "screws" ]
[ 1, 15, 9, 10 ]
[ "georgia", "g", "cookie", "cutter" ]
[ 11, 12, 9, 10 ]
[ "eboys", "stuff" ]
[ 7, 9 ]
[ "farming", "simulator" ]
[ 7, 8 ]
[ "mini", "fridge", "without", "freezer" ]
[ 31, 9, 5, 6 ]
[ "thsirt", "dress" ]
[ 31, 9 ]
[ "smartwool", "mens", "vest" ]
[ 11, 13, 9 ]
[ "posture", "corrector", "straps" ]
[ 9, 10, 10 ]
[ "the", "wise", "words", "of", "dwight", "schrute" ]
[ 7, 8, 8, 8, 8, 8 ]
[ "eye", "health", "designs", "for", "health" ]
[ 25, 26, 11, 12, 12 ]
[ "romex", "6/3" ]
[ 9, 1 ]