Datasets:
bltlab
/
queryner

Dataset card Data Studio Files Community
2
tokens
sequencelengths
2
12
ner_tags
sequencelengths
2
12
[ "frozen", "blanket" ]
[ 7, 9 ]
[ "11-speed", "crankset", "without", "ring", "mtb" ]
[ 1, 9, 5, 6, 17 ]
[ "mass", "airflow", "sensor", "cleaner" ]
[ 17, 18, 18, 9 ]
[ "14", "birthday", "decorations", "for", "girls" ]
[ 19, 20, 9, 13, 14 ]
[ "tackle", "bo" ]
[ 9, 10 ]
[ "wustoff", "classic", "knives" ]
[ 11, 25, 9 ]
[ "honeywell", "portable", "air", "conditioner" ]
[ 11, 9, 10, 10 ]
[ "18x48", "shelves", "6", "tier" ]
[ 1, 9, 17, 18 ]
[ "helmet", "hud" ]
[ 9, 0 ]
[ "large", "christmas", "gift", "bags" ]
[ 1, 19, 9, 10 ]
[ "suction", "cup", "without", "hooks" ]
[ 9, 10, 5, 6 ]
[ "vivitar", "sports", "action", "camera", "12.1mp" ]
[ 11, 25, 26, 9, 1 ]
[ "bronco", "accessories" ]
[ 17, 9 ]
[ "baseball", "jerseys", "for", "men" ]
[ 17, 9, 13, 14 ]
[ "pink", "piano", "for", "girls" ]
[ 3, 9, 13, 14 ]
[ "guitar", "pedal", "boards" ]
[ 17, 9, 10 ]
[ "defurminator", "for", "dogs" ]
[ 9, 17, 18 ]
[ "study", "bibles", "for", "women" ]
[ 17, 9, 13, 14 ]
[ "straight", "hair", "bundles", "with", "closure" ]
[ 9, 10, 10, 17, 18 ]
[ "tear", "stain", "remover", "for", "french", "bulldog" ]
[ 9, 10, 10, 17, 18, 18 ]
[ "gaming", "chair", "rocker", "game", "chair" ]
[ 9, 10, 25, 9, 10 ]
[ "aluminum", "radiator", "74", "chevy", "c10" ]
[ 15, 9, 33, 17, 18 ]
[ "pillow", "pet", "stitch" ]
[ 9, 17, 7 ]
[ "face", "mask", "kids" ]
[ 9, 10, 13 ]
[ "apple", "charging", "case", "iphone" ]
[ 11, 9, 10, 25 ]
[ "j", "balvin", "shirt" ]
[ 7, 8, 9 ]
[ "2.5", "gallon", "gas", "can" ]
[ 1, 2, 9, 10 ]
[ "high", "waisted", "thong", "bikini" ]
[ 31, 32, 32, 9 ]
[ "cotton", "pads" ]
[ 9, 10 ]
[ "carbon", "window", "tint", "for", "cars" ]
[ 15, 9, 10, 17, 18 ]
[ "espresso", "machine" ]
[ 9, 10 ]
[ "masks", "disposable", "500" ]
[ 9, 17, 29 ]
[ "dragon", "tree", "planner" ]
[ 11, 12, 9 ]
[ "toilet", "stool" ]
[ 9, 10 ]
[ "leather", "iphone", "xs", "max", "case" ]
[ 15, 25, 26, 26, 9 ]
[ "white", "magnetic", "knife", "holder" ]
[ 3, 17, 9, 10 ]
[ "bose", "speaker" ]
[ 11, 9 ]
[ "denim", "overalls", "for", "men" ]
[ 15, 9, 13, 14 ]
[ "scleral", "lens", "inserter", "ring" ]
[ 17, 9, 10, 31 ]
[ "corner", "tv", "stand" ]
[ 9, 10, 10 ]
[ "tight", "t", "shirt" ]
[ 31, 9, 10 ]
[ "paintbrush", "cups" ]
[ 9, 10 ]
[ "superhero", "learning", "games" ]
[ 7, 17, 9 ]
[ "southside", "serpents", "jacket" ]
[ 7, 8, 9 ]
[ "gray", "towels", "for", "bathroom" ]
[ 3, 9, 17, 18 ]
[ "bulova", "latin" ]
[ 11, 25 ]
[ "men's", "shoulder", "bag" ]
[ 13, 9, 10 ]
[ "pentel", "energel", "0.07" ]
[ 11, 25, 1 ]
[ "men", "multicam", "cp", "shirts", "xxl" ]
[ 13, 11, 9, 10, 1 ]
[ "mini", "display", "port", "to", "display", "port", "cable" ]
[ 9, 10, 10, 10, 10, 10, 10 ]
[ "womens", "bedroom", "slippers" ]
[ 13, 17, 9 ]
[ "lipton", "tea", "mix", "lemon" ]
[ 11, 9, 10, 17 ]
[ "broan", "36", "inch", "range", "hood", "stainless", "steel" ]
[ 25, 1, 2, 9, 10, 15, 16 ]
[ "microwave", "egg", "poacher" ]
[ 17, 9, 10 ]
[ "men's", "fun", "dress", "socks", "penguins" ]
[ 13, 17, 9, 10, 7 ]
[ "bar", "chair" ]
[ 9, 10 ]
[ "gifts", "for", "mystics" ]
[ 9, 17, 18 ]
[ "pink", "tank", "for", "women" ]
[ 3, 9, 13, 14 ]
[ "twisted", "navy", "and", "brown", "tees" ]
[ 17, 3, 0, 3, 9 ]
[ "sweet", "16", "birthday" ]
[ 19, 20, 20 ]
[ "rose", "gold", "napkins" ]
[ 3, 4, 9 ]
[ "cat", "tower" ]
[ 9, 10 ]
[ "polk", "db652" ]
[ 11, 27 ]
[ "hawaiian", "flower" ]
[ 21, 9 ]
[ "frances", "ha" ]
[ 7, 8 ]
[ "shout", "stain", "remover", "spray" ]
[ 11, 9, 10, 10 ]
[ "cheap", "lego", "jurassic", "park", "game", "ps4" ]
[ 23, 11, 7, 8, 9, 25 ]
[ "coler", "master" ]
[ 11, 12 ]
[ "framed", "print" ]
[ 17, 9 ]
[ "greg", "boyle" ]
[ 11, 12 ]
[ "motoz", "play", "cases" ]
[ 17, 18, 9 ]
[ "photo", "storage", "box" ]
[ 17, 9, 10 ]
[ "yarzheit", "memorial", "candles" ]
[ 19, 19, 9 ]
[ "awnings", "for", "patio" ]
[ 9, 17, 18 ]
[ "anal", "beads" ]
[ 9, 10 ]
[ "driving", "test" ]
[ 0, 0 ]
[ "book", "of", "elsewhere" ]
[ 7, 8, 8 ]
[ "crochet", "hair" ]
[ 9, 10 ]
[ "bowflex", "max", "trainer", "m6" ]
[ 11, 25, 26, 26 ]
[ "i'm", "fine", "and", "neither", "are", "you" ]
[ 7, 8, 8, 8, 8, 8 ]
[ "camera", "dolly" ]
[ 9, 10 ]
[ "links", "awakening" ]
[ 7, 8 ]
[ "headset", "bose", "aviation" ]
[ 9, 11, 19 ]
[ "natural", "fiber", "rope", "1.5", "inch" ]
[ 15, 16, 9, 1, 2 ]
[ "plastic", "grid", "dividers" ]
[ 15, 9, 10 ]
[ "best", "travel", "coffee", "mugs" ]
[ 0, 17, 18, 9 ]
[ "airpods", "pro", "case", "cover", "zelda" ]
[ 25, 26, 9, 10, 7 ]
[ "sklz", "gold", "flex", "golf", "trainer" ]
[ 11, 25, 26, 9, 10 ]
[ "collect", "moments", "not", "things", "journal" ]
[ 7, 8, 8, 8, 8 ]
[ "wireless", "karaoke", "microphone", "for", "kids" ]
[ 17, 19, 9, 13, 14 ]
[ "we", "could've", "finished", "last", "without", "you" ]
[ 7, 8, 8, 8, 8, 8 ]
[ "tarantino", "collection" ]
[ 7, 9 ]
[ "sponge", "holder", "for", "kitchen", "sink" ]
[ 9, 10, 17, 18, 18 ]
[ "baby", "shark", "toy" ]
[ 7, 8, 9 ]
[ "orange", "bikes" ]
[ 3, 9 ]
[ "travel", "shaver" ]
[ 17, 9 ]
[ "marvel", "drinking", "cups", "for", "kids" ]
[ 7, 9, 10, 13, 14 ]
[ "automatic", "tire", "deflator" ]
[ 17, 9, 10 ]
[ "scoth", "brite" ]
[ 11, 12 ]
[ "archery", "kisser", "buttons" ]
[ 19, 9, 10 ]