Datasets:
bltlab
/
queryner

Dataset card Data Studio Files Community
2
tokens
sequencelengths
2
12
ner_tags
sequencelengths
2
12
[ "clothing", "printer", "machine" ]
[ 9, 10, 10 ]
[ "30x45", "rug", "without", "latex", "backing" ]
[ 1, 9, 17, 18, 18 ]
[ "men", "fragrance" ]
[ 13, 9 ]
[ "flush", "mount", "drum", "light", "fixture" ]
[ 17, 18, 31, 9, 10 ]
[ "outdoor", "camera" ]
[ 9, 10 ]
[ "2", "way", "bluetooth", "speakers" ]
[ 17, 18, 18, 9 ]
[ "vera", "bradley", "mimosa", "medallion" ]
[ 11, 12, 3, 4 ]
[ "smart", "watch", "yamay" ]
[ 25, 26, 11 ]
[ "denin", "dress", "for", "women" ]
[ 15, 9, 13, 14 ]
[ "smoke", "buddy" ]
[ 11, 12 ]
[ "marshall", "stanmore", "2" ]
[ 11, 25, 26 ]
[ "a", "year", "without", "a", "santa", "clause", "dvd" ]
[ 7, 8, 8, 8, 8, 8, 9 ]
[ "cremo", "polish", "pomade" ]
[ 11, 9, 10 ]
[ "trailer", "safty", "chain", "hooks" ]
[ 9, 10, 10, 10 ]
[ "fintie", "rotating", "case", "for", "new", "ipad" ]
[ 11, 17, 9, 17, 18, 18 ]
[ "wella", "hair", "gel" ]
[ 11, 9, 10 ]
[ "madden", "20", "ps4" ]
[ 7, 8, 25 ]
[ "some", "will", "not", "sleep" ]
[ 7, 8, 8, 8 ]
[ "silicone", "molds", "for", "cooking", "pancakes" ]
[ 15, 9, 17, 18, 18 ]
[ "tech", "armor", "iphone", "x" ]
[ 11, 12, 25, 26 ]
[ "cooler", "bag" ]
[ 9, 10 ]
[ "park", "tool" ]
[ 11, 12 ]
[ "watch", "seiko" ]
[ 9, 11 ]
[ "thomas", "the", "train", "toys" ]
[ 7, 8, 8, 9 ]
[ "canon", "rebel", "t6i", "accessories" ]
[ 11, 17, 18, 9 ]
[ "black", "sheer", "short", "sleeve", "shirt" ]
[ 3, 15, 31, 9, 10 ]
[ "gold", "chain" ]
[ 15, 9 ]
[ "cheap", "hot", "tub" ]
[ 23, 9, 10 ]
[ "turtle", "neck", "tunic", "shirt" ]
[ 31, 32, 9, 10 ]
[ "pool", "cl", "testing", "kit" ]
[ 17, 18, 9, 10 ]
[ "red", "ducky", "one", "2", "mini", "keyboard" ]
[ 3, 11, 25, 26, 31, 9 ]
[ "two", "pack", "water", "bottle" ]
[ 29, 30, 9, 10 ]
[ "christmas", "napkins", "paper" ]
[ 19, 9, 15 ]
[ "fire", "tools" ]
[ 9, 10 ]
[ "cute", "stuffed", "animals" ]
[ 17, 9, 10 ]
[ "samsung", "galaxy", "j36", "case" ]
[ 11, 25, 26, 9 ]
[ "nfl", "new", "england", "patriots", "jersey" ]
[ 7, 8, 8, 8, 9 ]
[ "bigfoot", "monster", "truck" ]
[ 25, 9, 10 ]
[ "monopoly", "fallout", "collectors", "edition" ]
[ 25, 26, 26, 26 ]
[ "black", "and", "gold", "necklaces", "for", "women" ]
[ 3, 0, 3, 9, 13, 14 ]
[ "canister", "aprilaire", "model", "800" ]
[ 9, 11, 27, 28 ]
[ "t", "ball", "bat" ]
[ 9, 10, 10 ]
[ "harley", "merlin", "series", "paperback", "set" ]
[ 7, 8, 8, 15, 9 ]
[ "one", "punch", "man", "figpin" ]
[ 7, 8, 8, 9 ]
[ "mike", "myers", "dvd" ]
[ 7, 8, 9 ]
[ "korg", "kronos" ]
[ 11, 25 ]
[ "ladies", "halloween", "costumes" ]
[ 13, 19, 9 ]
[ "tropical", "plates", "and", "bowls", "sets" ]
[ 17, 9, 10, 10, 10 ]
[ "wire", "wheel", "4-inch", "grinder" ]
[ 9, 10, 1, 9 ]
[ "room", "chair" ]
[ 17, 9 ]
[ "bath", "overflow", "cover" ]
[ 17, 18, 9 ]
[ "glass", "apothecary", "jars", "set", "of", "3" ]
[ 15, 9, 10, 29, 30, 30 ]
[ "wendy", "peffercorn", "sunglasses" ]
[ 7, 8, 9 ]
[ "cheer", "bows" ]
[ 9, 10 ]
[ "whirlpool", "refrigerator", "water", "filter", "housing" ]
[ 9, 10, 10, 10, 17 ]
[ "romeo", "and", "juliet" ]
[ 7, 8, 8 ]
[ "5", "pack", "blink", "camera", "mount" ]
[ 29, 30, 17, 9, 10 ]
[ "kids", "water", "shoes" ]
[ 13, 9, 10 ]
[ "dragon", "mxv", "goggles" ]
[ 11, 25, 9 ]
[ "mezcal", "and", "tequila", "infusion", "set" ]
[ 9, 10, 10, 10, 10 ]
[ "flea", "collar", "for", "dogs" ]
[ 9, 10, 17, 18 ]
[ "purvana", "shampoo" ]
[ 11, 9 ]
[ "denman", "brush", "for", "curly", "hair" ]
[ 11, 9, 17, 18, 18 ]
[ "assorted", "english", "coffeemugs" ]
[ 17, 21, 9 ]
[ "cardcaptor", "sakura", "purse" ]
[ 7, 8, 9 ]
[ "the", "five", "love", "languages", "gary", "chapman" ]
[ 7, 8, 8, 8, 11, 12 ]
[ "iphone", "light", "selfie" ]
[ 25, 9, 10 ]
[ "boxer", "briefs", "men", "6", "inch" ]
[ 9, 17, 13, 1, 2 ]
[ "joe", "dispenser" ]
[ 9, 10 ]
[ "copper", "wire", "earrings" ]
[ 15, 16, 9 ]
[ "bed", "booster", "blocks" ]
[ 17, 9, 10 ]
[ "astronomical", "clock" ]
[ 17, 9 ]
[ "bts", "life", "size", "cardboard", "cutouts" ]
[ 7, 31, 32, 9, 10 ]
[ "world", "map", "tapestry" ]
[ 7, 8, 9 ]
[ "plus", "size", "brands", "for", "women" ]
[ 1, 2, 17, 13, 14 ]
[ "under", "cabinet", "lighting" ]
[ 17, 18, 9 ]
[ "long", "ballerina", "nails", "full", "cover" ]
[ 1, 9, 10, 17, 18 ]
[ "large", "bowling", "pins" ]
[ 1, 9, 10 ]
[ "skiis", "for", "a", "walker" ]
[ 9, 17, 18, 18 ]
[ "ps4", "external", "storage" ]
[ 25, 9, 10 ]
[ "cabbage", "patch", "dolls" ]
[ 11, 12, 9 ]
[ "luxury", "vintage", "vanity", "lights" ]
[ 17, 5, 9, 10 ]
[ "diamond", "sharpener", "stone" ]
[ 15, 9, 10 ]
[ "henry", "fuller" ]
[ 11, 12 ]
[ "halloween", "costumes", "for", "girls" ]
[ 19, 9, 13, 14 ]
[ "horseshoe", "ring" ]
[ 9, 10 ]
[ "three", "without", "fear" ]
[ 7, 8, 8 ]
[ "ororo", "womens", "heated", "jacket" ]
[ 11, 13, 9, 10 ]
[ "vent", "cover" ]
[ 9, 10 ]
[ "tot", "cot", "nap", "mat" ]
[ 25, 26, 9, 10 ]
[ "five", "nights", "at", "freddy's", "party", "supplies" ]
[ 7, 8, 8, 8, 9, 10 ]
[ "ladies", "halloween", "costumes", "flapper", "dresses" ]
[ 13, 19, 9, 10, 10 ]
[ "24", "volt", "pure", "sine", "wave", "inverter" ]
[ 1, 2, 9, 10, 10, 10 ]
[ "lantern", "old", "fashioned" ]
[ 9, 17, 18 ]
[ "hanskin", "pore", "cleansing", "oil" ]
[ 11, 9, 10, 10 ]
[ "hamilton", "beach", "programmable", "coffee", "maker" ]
[ 11, 12, 17, 9, 10 ]
[ "tv", "led", "lights" ]
[ 9, 17, 9 ]
[ "all", "white", "jordans", "for", "men" ]
[ 0, 3, 25, 13, 14 ]
[ "beville", "espresso", "maker" ]
[ 11, 9, 10 ]
[ "microsoft", "wireless", "mouse" ]
[ 11, 17, 9 ]