Datasets:
bltlab
/
queryner

Dataset card Data Studio Files Community
2
tokens
sequencelengths
2
12
ner_tags
sequencelengths
2
12
[ "reflective", "suits", "for", "men", "waterproof" ]
[ 17, 9, 13, 14, 17 ]
[ "1", "hour", "twist", "timer", "not", "photo", "electric", "electrical", "outlets" ]
[ 1, 2, 9, 10, 5, 6, 6, 17, 18 ]
[ "control", "arms" ]
[ 9, 10 ]
[ "face", "shine", "spray" ]
[ 9, 10, 10 ]
[ "14", "gauge", "3", "wire" ]
[ 1, 2, 9, 10 ]
[ "long", "swimming", "tops", "for", "women" ]
[ 1, 9, 10, 13, 14 ]
[ "finishing", "nail", "gun", "battery", "powered" ]
[ 9, 10, 10, 17, 18 ]
[ "wood", "burning", "kit", "with", "stencils" ]
[ 9, 10, 10, 17, 18 ]
[ "privacy", "screen", "samsung", "note", "10", "plus" ]
[ 9, 10, 11, 25, 26, 26 ]
[ "blue", "light", "screen", "protector" ]
[ 17, 18, 9, 10 ]
[ "electric", "toothbrush", "kids" ]
[ 17, 9, 13 ]
[ "bucket", "hat", "bees" ]
[ 9, 10, 7 ]
[ "shark", "rain", "boot" ]
[ 31, 9, 10 ]
[ "kids", "disposable", "face", "mask" ]
[ 13, 17, 9, 10 ]
[ "print", "machine", "cutter" ]
[ 9, 10, 10 ]
[ "college", "printer" ]
[ 17, 9 ]
[ "big", "paper", "clips" ]
[ 31, 9, 10 ]
[ "oneida", "spoons", "two", "toned", "pattern" ]
[ 11, 9, 3, 4, 4 ]
[ "hot", "handle", "holders" ]
[ 9, 10, 10 ]
[ "kanken", "backpack" ]
[ 11, 9 ]
[ "plus", "size", "sailor", "costume", "for", "women" ]
[ 1, 2, 17, 9, 13, 14 ]
[ "brush", "multiple", "functions" ]
[ 9, 17, 18 ]
[ "artu", "drill", "bits" ]
[ 11, 9, 10 ]
[ "bandaid", "for", "dogs" ]
[ 9, 17, 18 ]
[ "continental", "gator", "hardshell", "duraskin", "folding", "tire" ]
[ 11, 25, 26, 17, 18, 9 ]
[ "ford", "logo", "seat", "covers" ]
[ 7, 8, 9, 10 ]
[ "blank", "high", "security", "check", "paper" ]
[ 3, 17, 18, 9, 10 ]
[ "lego", "mail", "plane" ]
[ 11, 7, 8 ]
[ "pressing", "mat", "for", "quilting" ]
[ 9, 10, 17, 18 ]
[ "el", "salvador", "jersey", "for", "men" ]
[ 25, 26, 9, 13, 14 ]
[ "door", "jammer" ]
[ 9, 10 ]
[ "small", "plastic", "pitcher" ]
[ 1, 15, 9 ]
[ "iphone", "watch", "40mm", "series", "5", "band", "flowers" ]
[ 25, 25, 1, 25, 26, 9, 7 ]
[ "magnifying", "mirror" ]
[ 9, 10 ]
[ "waterproof", "wire", "connectors" ]
[ 17, 9, 10 ]
[ "now", "frankincense", "essential", "oil" ]
[ 11, 9, 10, 10 ]
[ "boss", "bottled", "intense" ]
[ 11, 25, 26 ]
[ "baby", "interactive", "toys", "6", "to", "12", "months" ]
[ 13, 17, 9, 13, 14, 14, 14 ]
[ "ladies", "sweatshirts", "without", "hoods" ]
[ 13, 9, 31, 32 ]
[ "pix-star", "15", "inch", "wifi", "cloud", "digital", "photo", "frame" ]
[ 11, 1, 2, 17, 17, 17, 9, 10 ]
[ "white", "sox", "flat", "bill", "hat" ]
[ 7, 8, 9, 10, 10 ]
[ "filter", "kit", "5/8", "x", "24" ]
[ 9, 10, 1, 2, 2 ]
[ "baby", "thermometer", "forehead", "and", "ear", "iproven" ]
[ 9, 10, 17, 18, 18, 11 ]
[ "bath", "accessories", "for", "women" ]
[ 9, 10, 13, 14 ]
[ "infinity", "endless", "love", "heartbeat", "bracelets" ]
[ 7, 8, 8, 8, 9 ]
[ "ottoman", "bench", "storage", "brown" ]
[ 9, 10, 10, 3 ]
[ "the", "boys", "season", "1" ]
[ 7, 8, 8, 8 ]
[ "tire", "pressure", "gauge" ]
[ 9, 10, 10 ]
[ "silver", "bathroom", "accessories", "set" ]
[ 3, 17, 9, 10 ]
[ "aluminum", "j", "channel" ]
[ 15, 9, 10 ]
[ "gerber", "paraframe" ]
[ 11, 25 ]
[ "plastic", "flowers", "no", "stem" ]
[ 15, 9, 5, 6 ]
[ "the", "sage", "owl" ]
[ 11, 12, 12 ]
[ "dog", "seat", "belt" ]
[ 17, 9, 10 ]
[ "sofas", "for", "living", "room", "clearance", "sectional" ]
[ 9, 17, 18, 18, 9, 10 ]
[ "berberine", "complex", "supplements" ]
[ 25, 26, 9 ]
[ "modern", "lamps" ]
[ 33, 9 ]
[ "waterproof", "lightweight", "gloves" ]
[ 17, 18, 9 ]
[ "yellow", "sweatsuit" ]
[ 3, 9 ]
[ "great", "american", "railroad", "journeys", "michael", "portillo" ]
[ 7, 8, 8, 8, 11, 12 ]
[ "dutch", "processes", "cocoa", "powder" ]
[ 17, 18, 9, 10 ]
[ "no", "it's", "not", "a", "camera" ]
[ 7, 8, 8, 8, 8 ]
[ "dinosaur", "shirt", "adult" ]
[ 7, 9, 13 ]
[ "dogs", "make", "me", "happy", "humans", "not", "so", "much" ]
[ 7, 8, 8, 8, 8, 8, 8, 8 ]
[ "vehicle", "ramp" ]
[ 9, 10 ]
[ "furniture", "strap" ]
[ 17, 9 ]
[ "shun", "knife" ]
[ 9, 10 ]
[ "no", "fear", "shakespeare", "othello" ]
[ 7, 8, 11, 7 ]
[ "blimpie", "toys" ]
[ 7, 9 ]
[ "woman", "levis", "jean" ]
[ 13, 11, 9 ]
[ "boys", "soccer", "cleats", "size", "13" ]
[ 13, 9, 10, 1, 2 ]
[ "ram", "cooling" ]
[ 17, 9 ]
[ "white", "solar", "deck", "lights", "outdoor", "waterproof" ]
[ 3, 17, 9, 10, 17, 18 ]
[ "1", "airpod", "not", "charging", "case" ]
[ 29, 25, 5, 6, 6 ]
[ "lift", "recliners", "for", "elderly", "wide", "heavy", "duty" ]
[ 9, 10, 13, 14, 31, 17, 18 ]
[ "cream", "and", "sugar" ]
[ 9, 10, 10 ]
[ "riunded", "disposable", "wine", "glasses" ]
[ 31, 17, 18, 9 ]
[ "100%", "cotton", "tartan", "boxer", "shorts" ]
[ 15, 16, 7, 9, 31 ]
[ "kids", "recording", "mike" ]
[ 13, 9, 10 ]
[ "whool", "socks" ]
[ 15, 9 ]
[ "vaseline", "intensive", "care", "lotion" ]
[ 11, 25, 26, 9 ]
[ "bases", "para", "dj" ]
[ 9, 17, 18 ]
[ "6", "drawer", "dresser" ]
[ 17, 9, 10 ]
[ "small", "block", "letters" ]
[ 1, 9, 10 ]
[ "majic", "light", "thumbs" ]
[ 9, 10, 10 ]
[ "dino", "dana" ]
[ 7, 8 ]
[ "women", "gray", "sweatpants" ]
[ 13, 3, 9 ]
[ "sand", "socks", "kids" ]
[ 9, 10, 13 ]
[ "0-3", "month", "boy", "fall", "clothes" ]
[ 13, 14, 13, 19, 9 ]
[ "wireless", "gaming", "mouse" ]
[ 17, 9, 10 ]
[ "storm", "trooper", "helmet" ]
[ 7, 8, 9 ]
[ "skateboard", "grind", "box" ]
[ 17, 9, 10 ]
[ "reeses", "tshirt" ]
[ 11, 9 ]
[ "ob2", "code", "reader" ]
[ 25, 9, 10 ]
[ "very", "difficult", "sudduko" ]
[ 17, 18, 9 ]
[ "tweety", "calendar" ]
[ 7, 9 ]
[ "tree", "free", "toilet", "paper" ]
[ 17, 18, 9, 10 ]
[ "rachel", "ashwell", "swaddle" ]
[ 11, 12, 9 ]
[ "wolverine", "mens", "small", "costume" ]
[ 7, 13, 1, 9 ]
[ "grill", "pik", "up" ]
[ 9, 10, 10 ]