Datasets:

---

Mozilla

/

smart_ner_dataset

like 0

Follow

mozilla 248

[ "poutine", "The", "Bronx" ]

[ 0, 5, 6 ]

[ "plantains", "in", "Frostgrove" ]

[ 0, 0, 0 ]

[ "What", "are", "the", "most", "famous", "Mexican", "restaurants", "in", "Alhambra", ",", "CA", "?" ]

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[ "Top", "-", "rated", "barbecue", "joints", "in", "Mesa", "AZ" ]

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[ "doctor", "Universal", "City", "CA" ]

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[ 0, 0, 0, 9, 10, 10, 10 ]

[ "does", "Lincoln", "Manufacturing", "Inc", ".", "provide", "home", "repair", "services", "in", "New", "Bedfor", "?" ]

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[ "pancakes", "in", "Jasmine", "Vale" ]

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[ "does", "Scottsdale", "Museum", "of", "Contemporary", "Art", "provide", "home", "repair", "services", "in", "Layton", "?" ]

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[ "souvlaki", "in", "Driftstone" ]

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[ "Does", "Serena", "Williams", "have", "a", "speech", "in", "Memphis", ",", "Tennessee", "?" ]

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[ "burgers", "O", "'", "Fallon", ",", "MO" ]

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[ "South", "Bend", "IN", "pharmacies" ]

[ 9, 10, 10, 0 ]

[ "Alhambra", "AZ", "pasta" ]

[ 9, 10, 0 ]

[ "Deerfield", "Beach", "temperature" ]

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[ "Mississippi", "poutine" ]

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[ "movie", "theaters", "alpharetta" ]

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[ "roof", "repair", "specialists", "in", "Revere" ]

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[ "plumber", "Cleveland", "OH" ]

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[ "Nebraska", "teriyaki" ]

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[ "top", "-", "rated", "movie", "theaters", "in", "Minnetonka", "Mills", ",", "MN" ]

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[ "best", "sushi", "in", "Dublin", "CA" ]

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[ "pad", "thai", "ZR" ]

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[ "Alhambra", "AZ", "cakes" ]

[ 9, 10, 0 ]

[ "Best", "gastropubs", "in", "Pembroke", "Pines", ",", "FL" ]

[ 0, 0, 0, 9, 10, 10, 10 ]

[ "PL", "bibimbap" ]

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[ "best", "plaza", "in", "South", "Bosto" ]

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[ "roof", "repair", "specialists", "in", "Baytown" ]

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[ "naan", "Cloudwood" ]

[ 0, 0 ]

[ "waffles", "Bluewater" ]

[ 0, 0 ]

[ "Waterford", ",", "MI", "noodles" ]

[ 9, 10, 10, 0 ]

[ "home", "improvement", "services", "Edina", "MN" ]

[ 0, 0, 0, 9, 10 ]

[ "Obsidian", "Point", "hot", "dogs" ]

[ 0, 0, 0, 0 ]

[ "What", "are", "analysts", "saying", "about", "GOOGL", "?" ]

[ 0, 0, 0, 0, 0, 0, 0 ]

[ "hamburgers", "Raleigh", "NC" ]

[ 0, 9, 10 ]

[ "Best", "deals", "on", "travel", "insurance", "in", "Midwest", "City", ",", "OK" ]

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[ "weather", "forecast", "for", "Park", "Slope", "this", "weekend" ]

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[ "Sandy", ",", "UT", "brunch" ]

[ 9, 10, 10, 0 ]

[ "best", "sushi", "in", "Waukesha", ",", "WI" ]

[ 0, 0, 0, 9, 10, 10 ]

[ "weather", "forecast", "for", "maryvale", "this", "weekend" ]

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[ "pizza", "mfr" ]

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[ "best", "sushi", "in", "Tuscaloosa", ",", "AL" ]

[ 0, 0, 0, 9, 10, 10 ]

[ "Top", "-", "rated", "fine", "dining", "in", "Lauderhill", ",", "Florida" ]

[ 0, 0, 0, 0, 0, 0, 9, 10, 10 ]

[ "pharmacies", "Iowa", "City", "IA" ]

[ 0, 9, 10, 10 ]

[ "Glendale", ",", "California", "sushi" ]

[ 9, 10, 10, 0 ]

[ "roof", "repair", "specialists", "in", "big", "apple" ]

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[ "Where", "to", "find", "the", "best", "pork", "ribs", "near", "me", "?" ]

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[ "who", "are", "the", "top", "doctors", "in", "West", "Raleigh", ",", "North", "Carolina", "?" ]

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[ "Can", "I", "meet", "Amanda", "Carter", "in", "Los", "Angeles", ",", "California", "?" ]

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[ "Palm", "Desert", ",", "California", "hamburgers" ]

[ 9, 10, 10, 10, 0 ]

[ "does", "Neymar", "Jr", ".", "live", "in", "Housto" ]

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[ "KS", "fried", "rice" ]

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[ "dim", "sum", "in", "Harbor", "Reach" ]

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[ "does", "Sony", "Corporation", "provide", "home", "repair", "services", "in", "alafaya", "?" ]

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[ "Miami", "Lakes", "Software", "Solutions", "reviews", "in", "Connecticut" ]

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[ "Where", "to", "eat", "calamari", "in", "Alameda", ",", "CA", "?" ]

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[ "weather", "mso" ]

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[ "nurse", "Briarwood" ]

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[ "naan", "in", "Azure", "City" ]

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[ "weather", "Amherst", "NY" ]

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[ "Oak", "Park", "IL", "sushi" ]

[ 9, 10, 10, 0 ]

[ "Top", "-", "rated", "fine", "dining", "in", "Toms", "River", ",", "NJ" ]

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[ "parks", "in", "Bakersfield", "CA" ]

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[ "car", "repair", "Baldwin", "Park", "CA" ]

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[ "Top", "destinations", "for", "luxury", "travel", "in", "Alexandria", "VA" ]

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[ "burgers", "Cleveland", ",", "OH" ]

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[ "Best", "deals", "on", "train", "tickets", "in", "Reston", ",", "VA" ]

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[ "physio", "therapy", "Harlingen" ]

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[ "electrician", "schenectady" ]

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[ "does", "New", "York", "University", "operate", "in", "Milwaukee", ",", "WI", "?" ]

[ 0, 3, 4, 4, 0, 0, 9, 10, 10, 0 ]

[ "Top", "pad", "thai", "restaurants", "in", "Knoxville", ",", "TN", "this", "weekend" ]

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[ "Affordable", "brunch", "spots", "in", "Shreveport", ",", "LA" ]

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[ "car", "repair", "henderson" ]

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[ "Best", "deals", "on", "ski", "trips", "in", "Yuba", "City", ",", "CA" ]

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[ "home", "improvement", "contractors", "near", "Sterling", "Heights", ",", "MI" ]

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[ "Violet", "Haven", "croquettes" ]

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[ "hours", "of", "Columbia", "University", "Medical", "Center", "in", "Brooklyn" ]

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[ "Can", "I", "meet", "Tom", "Brady", "in", "Yonkers", "NY", "?" ]

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[ "pork", "ribs", "MI" ]

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[ "does", "Pasadena", "Legal", "Consultants", "provide", "home", "repair", "services", "in", "The", "Bron", "?" ]

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[ "contact", "Virginia", "Beach", "Law", "Associates", "in", "Eden", "Prairie" ]

[ 0, 3, 4, 4, 4, 0, 5, 6 ]

[ "Oakland", ",", "California", "soups" ]

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[ "Timber", "City", "waffles" ]

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[ "home", "maintenance", "services", "in", "Westminster", "CO" ]

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[ "Is", "Chase", "Stewart", "available", "for", "an", "appointment", "in", "Astori", "?" ]

[ 0, 1, 2, 0, 0, 0, 0, 0, 5, 0 ]

[ "poutine", "DR" ]

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[ "best", "sushi", "in", "Brownsville", ",", "NY" ]

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[ "Tideridge", "smoothies" ]

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[ "seafood", "Jasmine", "Vale" ]

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