Datasets:
bltlab
/
queryner

Dataset card Data Studio Files Community
2
tokens
sequencelengths
2
12
ner_tags
sequencelengths
2
12
[ "barco", "one", "scrubs", "men" ]
[ 11, 25, 9, 13 ]
[ "silver", "nitrate", "sticks", "for", "wounds" ]
[ 9, 10, 10, 17, 18 ]
[ "womens", "button", "down", "shirts", "with", "tiger" ]
[ 13, 31, 32, 9, 7, 8 ]
[ "non", "adhesive", "shelf", "liner" ]
[ 17, 18, 9, 10 ]
[ "gift", "for", "wife", "anniversary" ]
[ 9, 13, 14, 19 ]
[ "moto", "g", "stylus", "wallet", "case" ]
[ 25, 26, 26, 9, 10 ]
[ "carhartt", "sunshaed" ]
[ 11, 9 ]
[ "gift", "cards", "for", "amazon" ]
[ 9, 10, 17, 18 ]
[ "lawn", "chair" ]
[ 9, 10 ]
[ "adj", "bed", "frame", "queen" ]
[ 17, 9, 10, 1 ]
[ "16", "inch", "level" ]
[ 1, 2, 9 ]
[ "blood", "pressure", "cuff", "and", "stethoscope", "kit" ]
[ 9, 10, 10, 10, 10, 10 ]
[ "lace", "bodysuit", "pants", "suit" ]
[ 15, 9, 9, 10 ]
[ "graphic", "tees", "for", "women", "plus", "size", "boss" ]
[ 17, 9, 13, 14, 1, 2, 11 ]
[ "mummy", "kids", "costume" ]
[ 7, 13, 9 ]
[ "schluter", "kerdi", "band" ]
[ 11, 25, 26 ]
[ "facial", "peel", "off", "mask" ]
[ 17, 17, 18, 9 ]
[ "bowl", "noodle", "soup", "hot", "and", "spicy" ]
[ 17, 9, 10, 17, 18, 18 ]
[ "steep", "ware", "for", "tea" ]
[ 25, 26, 17, 18 ]
[ "women", "sailor", "hat" ]
[ 13, 9, 10 ]
[ "porch", "lock", "box", "for", "packages" ]
[ 17, 9, 10, 17, 18 ]
[ "power", "drill", "cordless" ]
[ 9, 10, 10 ]
[ "pink", "heart", "in", "white", "picture", "frame" ]
[ 7, 8, 0, 3, 9, 10 ]
[ "price", "is", "right", "game" ]
[ 7, 8, 8, 9 ]
[ "polaris", "570", "lift", "kit" ]
[ 11, 25, 9, 10 ]
[ "36", "inch", "lanyard" ]
[ 1, 2, 9 ]
[ "end", "table" ]
[ 9, 10 ]
[ "callus", "remover", "for", "feet", "professional" ]
[ 9, 10, 17, 18, 18 ]
[ "glass", "meal", "prep", "containers" ]
[ 15, 17, 18, 9 ]
[ "elliptical", "trainer" ]
[ 9, 10 ]
[ "rv", "sewer", "hose" ]
[ 17, 9, 10 ]
[ "black", "henna", "hair", "color" ]
[ 3, 25, 9, 10 ]
[ "fp", "100c", "film" ]
[ 25, 26, 9 ]
[ "v35", "thinq", "screen", "protector" ]
[ 25, 11, 9, 10 ]
[ "tagaderm", "waterproof", "patches" ]
[ 11, 9, 10 ]
[ "michael", "kors", "crossbody", "bags", "for", "women" ]
[ 11, 12, 9, 10, 13, 14 ]
[ "mens", "blazers", "and", "sport", "coats" ]
[ 13, 9, 0, 9, 10 ]
[ "lush", "bath", "bomb" ]
[ 11, 9, 10 ]
[ "lightning", "cables" ]
[ 9, 10 ]
[ "chasing", "red", "lights" ]
[ 7, 8, 8 ]
[ "face", "paint", "kit" ]
[ 9, 10, 10 ]
[ "beard", "straightener" ]
[ 9, 10 ]
[ "bathroom", "baskets" ]
[ 17, 9 ]
[ "kiddy", "carrier" ]
[ 9, 10 ]
[ "black", "skirts", "for", "women", "size", "large" ]
[ 3, 9, 13, 14, 31, 1 ]
[ "childs", "bath", "toys" ]
[ 13, 9, 10 ]
[ "plant", "netting", "for", "bugs" ]
[ 9, 10, 17, 18 ]
[ "lacrosse", "accessories", "for", "boys" ]
[ 9, 10, 13, 14 ]
[ "girls", "clothes" ]
[ 13, 9 ]
[ "24", "tool", "bag" ]
[ 1, 9, 10 ]
[ "technology", "gifts", "for", "dad" ]
[ 17, 9, 13, 14 ]
[ "2", "panel", "wall", "art" ]
[ 17, 18, 9, 10 ]
[ "inflatable", "pool", "raft" ]
[ 17, 9, 10 ]
[ "lego", "duplo", "cars" ]
[ 11, 25, 9 ]
[ "new", "iphone", "charger", "cable", "10", "ft" ]
[ 5, 25, 9, 10, 1, 2 ]
[ "dulcolax", "liquid", "laxative" ]
[ 11, 9, 10 ]
[ "barenaked", "ladies", "greatest", "hits", "cd" ]
[ 11, 12, 7, 8, 9 ]
[ "the", "amazon", "nightgown", "dress" ]
[ 25, 26, 26, 9 ]
[ "bohemian", "rug" ]
[ 5, 9 ]
[ "breast", "pump", "hands", "free" ]
[ 9, 10, 17, 18 ]
[ "hard", "start", "kit", "for", "air", "conditioner" ]
[ 9, 10, 10, 17, 18, 18 ]
[ "120", "crayola", "colored", "pencils" ]
[ 29, 9, 10, 10 ]
[ "d", "batteries", "8", "pack" ]
[ 9, 10, 29, 30 ]
[ "franmar", "soy", "gel", "paint", "remover" ]
[ 11, 15, 16, 9, 10 ]
[ "millennium", "solid", "black", "tanning", "lotion" ]
[ 11, 25, 26, 9, 10 ]
[ "toe", "guards", "for", "boots" ]
[ 9, 10, 17, 18 ]
[ "native", "indian", "costume", "for", "men" ]
[ 17, 18, 9, 13, 14 ]
[ "hanging", "pouch", "organizer" ]
[ 17, 9, 10 ]
[ "coat", "rack" ]
[ 9, 10 ]
[ "small", "vanity", "without", "mirror" ]
[ 1, 9, 5, 6 ]
[ "phone", "case", "iphone", "8", "plus", "protective", "for", "women", "beach" ]
[ 9, 10, 25, 26, 26, 17, 13, 14, 19 ]
[ "mermaid", "sinking", "pool", "toys", "for", "kids" ]
[ 31, 17, 9, 10, 13, 14 ]
[ "angle", "finder", "digital" ]
[ 9, 10, 17 ]
[ "mens", "pants", "slim", "fit" ]
[ 13, 9, 31, 32 ]
[ "weatherproof", "outlet", "cover" ]
[ 17, 9, 10 ]
[ "gifts", "for", "mom", "from", "son" ]
[ 9, 13, 14, 17, 18 ]
[ "emirates", "toy", "plane" ]
[ 11, 9, 10 ]
[ "secrional", "sofa", "covers" ]
[ 11, 9, 10 ]
[ "webcam", "with", "microphone" ]
[ 9, 17, 18 ]
[ "link2home", "solar", "outdoor", "light" ]
[ 11, 17, 17, 9 ]
[ "do", "not", "water", "plants", "sign" ]
[ 7, 8, 8, 8, 9 ]
[ "12", "inch", "dial", "vernier", "caliper" ]
[ 1, 2, 17, 9, 10 ]
[ "button", "down", "shirt", "hot", "pink" ]
[ 17, 18, 9, 17, 3 ]
[ "do", "not", "give", "into", "the", "war", "within", "shirt" ]
[ 7, 8, 8, 8, 8, 8, 8, 9 ]
[ "ring", "tray", "for", "jewelry" ]
[ 9, 10, 17, 18 ]
[ "camera", "without", "wifi" ]
[ 9, 5, 6 ]
[ "kids", "virtual", "reality", "headset" ]
[ 13, 9, 10, 10 ]
[ "the", "school", "for", "good", "and", "evil", "a", "world", "without", "princes" ]
[ 7, 8, 8, 8, 8, 8, 8, 8, 8, 8 ]
[ "command™", "large", "picture", "hanging", "strips" ]
[ 25, 1, 17, 9, 10 ]
[ "date", "sugar" ]
[ 15, 9 ]
[ "6-12", "month", "boy", "clothes" ]
[ 13, 14, 13, 9 ]
[ "truff", "hot", "sauce" ]
[ 11, 9, 10 ]
[ "forever", "chic", "book" ]
[ 7, 8, 9 ]
[ "red", "crayons", "only" ]
[ 3, 9, 0 ]
[ "10.9", "inch", "ipad", "case", "without", "pencil", "holder" ]
[ 1, 2, 25, 9, 5, 6, 6 ]
[ "sock", "donner" ]
[ 9, 10 ]
[ "i", "love", "you", "heart", "charms" ]
[ 7, 8, 8, 31, 9 ]
[ "chicago", "symphony", "orchestra", "&", "pierre", "boulez" ]
[ 11, 12, 12, 12, 12, 12 ]
[ "laptops", "financing" ]
[ 9, 0 ]
[ "i9", "laptop" ]
[ 17, 9 ]