Datasets:

---

Mozilla

/

smart_ner_dataset

like 0

Follow

mozilla 263

[ "Worcester", ",", "MA", "temperature" ]

[ 9, 10, 10, 0 ]

[ "Raleigh", ",", "North", "Carolina", "brunch" ]

[ 9, 10, 10, 10, 0 ]

[ "Where", "to", "eat", "goulash", "in", "Cedar", "Park", ",", "TX", "?" ]

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

[ "Murfreesboro", ",", "TN", "vegan", "food" ]

[ 9, 10, 10, 0, 0 ]

[ "pizza", "Parkchester" ]

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[ "malai", "kofta", "in", "Cloudwood" ]

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[ "meet", "in", "charlotte" ]

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[ "florist", "Saint", "Clair", "Shores", "MI" ]

[ 0, 9, 10, 10, 10 ]

[ "coffee", "near", "me", "El", "Monte" ]

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[ "Boynton", "Beach", "FL", "burgers" ]

[ 9, 10, 10, 0 ]

[ "Affordable", "barbecue", "joints", "in", "Seattle", ",", "WA" ]

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

[ "Denver", "CO", "noodles" ]

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[ "does", "Mae", "Jemison", "live", "in", "Carmel" ]

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[ "pizza", "Denver" ]

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[ "coffee", "near", "me", "Milpitas" ]

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[ "hours", "of", "McKinsey", "&", "Company", "in", "nyc" ]

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[ "Top", "souvlaki", "restaurants", "in", "Queens", ",", "New", "York", "this", "weekend" ]

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[ "home", "improvement", "services", "Arlington", ",", "TX" ]

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[ "Does", "Michelle", "Obama", "have", "a", "speech", "in", "New", "South", "Memphis", ",", "TN", "?" ]

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[ "does", "David", "Baszucki", "live", "in", "South", "Bend" ]

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[ "New", "Jersey", "shawarma" ]

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[ "real", "estate", "agents", "lgu" ]

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[ "pasta", "Boynton", "Beach", ",", "FL" ]

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[ "breakfast", "food", "Framingham", "Center", ",", "MA" ]

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[ "nearest", "branch", "of", "Time", "Warner", "in", "East", "New", "York" ]

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[ "ramen", "Harlingen", ",", "Texas" ]

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[ "does", "Lakeith", "Stanfield", "live", "in", "Phoenix" ]

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[ "pharmacies", "Chicago", "Lawn" ]

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[ "Best", "pizzerias", "in", "Tamiami", ",", "FL" ]

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[ "Spokane", "Transit", "Authority", "reviews", "in", "DE" ]

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[ "emergency", "services", "Davenport" ]

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[ "restaurants", "near", "Sterling", "Heights", "with", "good", "reviews" ]

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[ "Is", "Rebecca", "Collins", "available", "for", "an", "appointment", "in", "Sioux", "Fall", "?" ]

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[ "Parsippany", "NJ", "parks" ]

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[ "best", "rated", "PricewaterhouseCoopers", "in", "Milpitas", ",", "CA" ]

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

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[ "does", "Newark", "Beth", "Israel", "Medical", "Center", "operate", "in", "The", "Bronx", ",", "New", "York", "?" ]

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[ "burritos", "Harborwood" ]

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[ "sushi", "North", "Las", "Vegas", ",", "Nevada" ]

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

[ "hamburgers", "Sherman", "Oaks", ",", "CA" ]

[ 0, 9, 10, 10, 10 ]

[ "coffee", "near", "me", "West", "Allis" ]

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[ "Miramar", ",", "Florida", "seafood" ]

[ 9, 10, 10, 0 ]

[ "conc", "in", "Orland", "Park" ]

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[ "fried", "chicken", "in", "GH" ]

[ 0, 0, 0, 0 ]

[ "risotto", "in", "Fernwood" ]

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[ "doctor", "Colorado", "Springs", ",", "Colorado" ]

[ 0, 9, 10, 10, 10 ]

[ "Lexington", "-", "Fayette", "KY", "ramen" ]

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[ "lawyers", "in", "csn" ]

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[ "Where", "to", "find", "the", "best", "spring", "rolls", "in", "Kansas", "City", ",", "MO", "?" ]

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

[ "Top", "-", "rated", "Indian", "restaurants", "in", "Peoria", "IL" ]

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[ "pierogi", "Centennial" ]

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[ "fettuccine", "alfredo", "near", "me", "Houston" ]

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[ "home", "maintenance", "services", "in", "Birmingham", "AL" ]

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[ "Affordable", "gastropubs", "in", "Riverside", "CA" ]

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[ "sushi", "Palo", "Alto" ]

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[ "Bellflower", ",", "CA", "ramen" ]

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[ "Shreveport", "Regional", "Airport", "in", "New", "York", "City", "NY" ]

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[ "does", "Aurora", "Public", "Schools", "provide", "home", "repair", "services", "in", "Homestead", "?" ]

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[ "nearest", "branch", "of", "The", "New", "York", "Times", "in", "woodbury" ]

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[ "salads", "XK" ]

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[ "OK", "tandoori", "chicken" ]

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[ "top", "hotels", "in", "miami", "beach" ]

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[ "buffalo", "wings", "in", "Sunspire" ]

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[ "locations", "of", "Anaheim", "Technology", "Hub", "in", "South", "Dakota" ]

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[ "doctor", "Redwood", "City" ]

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[ "steak", "Rocklin", "CA" ]

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[ "Top", "-", "rated", "Indian", "restaurants", "in", "Madera", ",", "California" ]

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[ "Miami", "Beach", ",", "FL", "ramen" ]

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[ "Coon", "Rapids", "MN", "brunch" ]

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[ "weather", "center", "city" ]

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[ "What", "are", "the", "most", "famous", "family", "-", "friendly", "restaurants", "in", "Lakewood", ",", "CO", "?" ]

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

[ "Top", "destinations", "for", "vacation", "packages", "in", "Clarksville", ",", "TN" ]

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[ "hamburgers", "Queens", ",", "NY" ]

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[ "best", "rated", "Lexington", "University", "Hospital", "in", "Livonia", ",", "MI" ]

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[ "plumber", "Tuscaloosa", "AL" ]

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[ "buffalo", "wings", "duke", "city" ]

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[ "sushi", "corpus", "christi" ]

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[ "Daytona", "Beach", "FL", "cakes" ]

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[ "nearest", "branch", "of", "Cleveland", "Clinic", "in", "Queens" ]

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[ "pharmacies", "New", "Britain", ",", "CT" ]

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[ "Popular", "bagels", "places", "in", "Riverside", ",", "California" ]

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[ "florist", "chino", "hills" ]

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[ "contact", "Volkswagen", "Group", "in", "phoenix" ]

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[ "physio", "therapy", "atascocita" ]

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[ "hours", "of", "PepsiCo", "in", "Los", "Angeles" ]

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

[ "does", "San", "Bernardino", "Logistics", "Group", "operate", "in", "Albuquerque", "NM", "?" ]

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[ "Bakersfield", ",", "CA", "sushi" ]

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[ "ramen", "Jacksonville", "NC" ]

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[ "cookies", "MQ" ]

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[ "can", "I", "book", "a", "doctor", "appointment", "at", "Chicago", "Regional", "Bank", "in", "Iowa", "?" ]

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[ "korean", "barbecue", "in", "Bluewater" ]

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[ "Top", "fondue", "restaurants", "in", "Ann", "Arbor", ",", "MI", "this", "weekend" ]

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

[ "best", "boardwal", "in", "phx" ]

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[ "Bridgeport", ",", "CT", "breakfast", "food" ]

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[ "real", "estate", "agents", "Phoeni" ]

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[ "game", "in", "Tucson" ]

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[ "sushi", "in", "Knollfield" ]

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[ "movie", "theaters", "Ahwatukee", "Foothills", ",", "Arizona" ]

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

[ "yakitori", "Kansas", "City" ]

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[ "best", "conservato", "in", "la" ]

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