Datasets:
Mozilla
/
smart_ner_dataset

Dataset card Data Studio Files Community
2
tokens
sequencelengths
1
19
ner_tags
sequencelengths
1
19
id
int64
0
450k
[ "real", "estate", "agents", "kennewick" ]
[ 0, 0, 0, 5 ]
111,358
[ "best", "rated", "AstraZeneca", "in", "New", "Brunswick", ",", "NJ" ]
[ 0, 0, 3, 0, 9, 10, 10, 10 ]
447,262
[ "lawyers", "in", "Elk", "Grove" ]
[ 0, 0, 5, 6 ]
127,128
[ "frozen", "yogurt", "near", "me", "hempstead" ]
[ 0, 0, 0, 0, 5 ]
164,218
[ "top", "yelp", "reviews", "gso" ]
[ 0, 0, 0, 5 ]
209,620
[ "best", "mountain", "in", "Compton" ]
[ 0, 0, 0, 5 ]
383,639
[ "hours", "of", "Intel", "Corporation", "in", "phl" ]
[ 0, 0, 3, 4, 0, 5 ]
409,449
[ "emergency", "services", "Astoria" ]
[ 0, 0, 5 ]
164,852
[ "Affordable", "buffet", "restaurants", "in", "Folsom", ",", "California" ]
[ 0, 0, 0, 0, 9, 10, 10 ]
363,241
[ "tzatziki", "near", "me", "irvine" ]
[ 0, 0, 0, 5 ]
250,071
[ "breakfast", "food", "North", "Stamford", "CT" ]
[ 0, 0, 9, 10, 10 ]
443,304
[ "Garnet", "Crossing", "souvlaki" ]
[ 0, 0, 0 ]
276,015
[ "Las", "Vegas", ",", "NV", "salads" ]
[ 9, 10, 10, 10, 0 ]
160,194
[ "best", "observato", "in", "Alhambra" ]
[ 0, 0, 0, 5 ]
223,322
[ "does", "Scottsdale", "Museum", "of", "Contemporary", "Art", "offer", "roof", "repair", "in", "Camden", "NJ", "?" ]
[ 0, 3, 4, 4, 4, 4, 0, 0, 0, 0, 9, 10, 0 ]
177,725
[ "Where", "to", "eat", "hummus", "in", "Dallas", ",", "TX", "?" ]
[ 0, 0, 0, 0, 0, 9, 10, 10, 0 ]
119,777
[ "breakfast", "near", "me", "Fort", "Myers" ]
[ 0, 0, 0, 5, 6 ]
369,187
[ "salads", "Yonkers", ",", "NY" ]
[ 0, 9, 10, 10 ]
137,568
[ "pizza", "Woodland", "Hills" ]
[ 0, 5, 6 ]
284,953
[ "Pennsylvania", "pad", "thai" ]
[ 7, 0, 0 ]
200,183
[ "quesadillas", "in", "sf" ]
[ 0, 0, 5 ]
441,218
[ "does", "Jennifer", "Lawrence", "live", "in", "Colorado", "Springs" ]
[ 0, 1, 2, 0, 0, 5, 6 ]
168,703
[ "electrician", "Warren" ]
[ 0, 5 ]
35,948
[ "best", "cafes", "in", "hampton" ]
[ 0, 0, 0, 5 ]
215,601
[ "coffee", "near", "me", "Lubbock" ]
[ 0, 0, 0, 5 ]
17,696
[ "car", "repair", "san", "pedro" ]
[ 0, 0, 5, 6 ]
355,907
[ "Revere", "temperature" ]
[ 5, 0 ]
178,515
[ "physio", "therapy", "Haverhill", ",", "MA" ]
[ 0, 0, 9, 10, 10 ]
6,292
[ "ice", "cream", "El", "Paso" ]
[ 0, 0, 5, 6 ]
443,034
[ "what", "'", "s", "the", "weather", "forecast", "for", "cordova", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 5, 0 ]
43,974
[ "Boise", "Energy", "Technologies", "in", "Decatur", "IL" ]
[ 3, 4, 4, 0, 9, 10 ]
343,269
[ "steak", "Taunton", ",", "MA" ]
[ 0, 9, 10, 10 ]
109,107
[ "hours", "of", "Arlington", "Cybersecurity", "Group", "in", "Van", "Nuys" ]
[ 0, 0, 3, 4, 4, 0, 5, 6 ]
308,142
[ "noodles", "Vineland", ",", "NJ" ]
[ 0, 9, 10, 10 ]
274,179
[ "home", "improvement", "contractors", "near", "Bayonne", ",", "NJ" ]
[ 0, 0, 0, 0, 9, 10, 10 ]
130,316
[ "Best", "deals", "on", "flights", "in", "Seattle", ",", "Washington" ]
[ 0, 0, 0, 0, 0, 9, 10, 10 ]
328,926
[ "top", "hotels", "in", "Hampto" ]
[ 0, 0, 0, 5 ]
448,135
[ "locations", "of", "Seattle", "Pacific", "University", "in", "IA" ]
[ 0, 0, 3, 4, 4, 0, 7 ]
43,060
[ "Firgrove", "gyros" ]
[ 0, 0 ]
202,394
[ "San", "Mateo", "CA", "fried", "chicken" ]
[ 9, 10, 10, 0, 0 ]
115,982
[ "locations", "of", "Columbus", "Financial", "Advisors", "in", "OK" ]
[ 0, 0, 3, 4, 4, 0, 7 ]
80,101
[ "current", "weather", "Sacramento" ]
[ 0, 0, 5 ]
87,783
[ "meatballs", "in", "Lexington", "-", "Fayette" ]
[ 0, 0, 5, 6, 6 ]
92,287
[ "Cinder", "Hollow", "sichuan", "chicken" ]
[ 0, 0, 0, 0 ]
304,439
[ "home", "improvement", "services", "Laredo", "TX" ]
[ 0, 0, 0, 9, 10 ]
82,643
[ "breakfast", "food", "Manteca" ]
[ 0, 0, 5 ]
401,206
[ "Best", "deals", "on", "vacation", "packages", "in", "St", ".", "Louis", "MO" ]
[ 0, 0, 0, 0, 0, 0, 9, 10, 10, 10 ]
326,621
[ "Logan", "UT", "pasta" ]
[ 9, 10, 0 ]
113,999
[ "top", "hotels", "in", "Pittsburg", "CA" ]
[ 0, 0, 0, 9, 10 ]
233,843
[ "plumber", "Palm", "Coas" ]
[ 0, 5, 6 ]
133,801
[ "does", "Houston", "General", "Hospital", "operate", "in", "Los", "Angeles", ",", "CA", "?" ]
[ 0, 3, 4, 4, 0, 0, 9, 10, 10, 10, 0 ]
95,975
[ "Where", "to", "eat", "poke", "bowl", "in", "Salem", ",", "OR", "?" ]
[ 0, 0, 0, 0, 0, 0, 9, 10, 10, 0 ]
411,371
[ "Buffalo", "NY", "hamburgers" ]
[ 9, 10, 0 ]
182,081
[ "hospital", "Dearborn", ",", "MI" ]
[ 0, 9, 10, 10 ]
281,101
[ "best", "sushi", "in", "New", "Braunfels", ",", "TX" ]
[ 0, 0, 0, 9, 10, 10, 10 ]
295,758
[ "New", "York", "City", "empanadas" ]
[ 5, 6, 6, 0 ]
303,965
[ "Pembroke", "Pines", ",", "Florida", "pharmacies" ]
[ 9, 10, 10, 10, 0 ]
109,098
[ "car", "repair", "anaheim" ]
[ 0, 0, 5 ]
294,085
[ "best", "rated", "Boeing", "Company", "in", "Norwalk", ",", "CA" ]
[ 0, 0, 3, 4, 0, 9, 10, 10 ]
350,332
[ "gyros", "in", "Elder", "City" ]
[ 0, 0, 0, 0 ]
63,328
[ "Shreveport", ",", "LA", "temperature" ]
[ 9, 10, 10, 0 ]
94,812
[ "does", "Reno", "-", "Tahoe", "International", "Airport", "provide", "home", "repair", "services", "in", "woodbury", "?" ]
[ 0, 3, 4, 4, 4, 4, 0, 0, 0, 0, 0, 5, 0 ]
65,593
[ "upcoming", "events", "in", "South", "Lawndal", "this", "weekend" ]
[ 0, 0, 0, 5, 6, 0, 0 ]
298,091
[ "GH", "malai", "kofta" ]
[ 0, 0, 0 ]
156,429
[ "real", "estate", "agents", "everett" ]
[ 0, 0, 0, 5 ]
71,114
[ "best", "cafes", "in", "Des", "Plaines" ]
[ 0, 0, 0, 5, 6 ]
214,262
[ "salads", "in", "Moonwatch" ]
[ 0, 0, 0 ]
443,994
[ "Spokane", ",", "Washington", "noodles" ]
[ 9, 10, 10, 0 ]
68,504
[ "top", "hotels", "in", "Bellevue", ",", "Nebraska" ]
[ 0, 0, 0, 9, 10, 10 ]
261,477
[ "brunch", "Boston", ",", "Massachusetts" ]
[ 0, 9, 10, 10 ]
388,105
[ "Saint", "Clair", "Shores", "MI", "ice", "cream" ]
[ 9, 10, 10, 10, 0, 0 ]
331,732
[ "breakfast", "food", "Saint", "Charles", "MO" ]
[ 0, 0, 9, 10, 10 ]
313,329
[ "home", "improvement", "Sandy" ]
[ 0, 0, 5 ]
196,721
[ "Boeing", "Company", "in", "Houston", ",", "TX" ]
[ 3, 4, 0, 9, 10, 10 ]
432,464
[ "Gilber", "korean", "barbecue" ]
[ 5, 0, 0 ]
75,782
[ "contact", "Detroit", "Institute", "of", "Arts", "in", "new", "york", "city" ]
[ 0, 3, 4, 4, 4, 0, 5, 6, 6 ]
326,984
[ "Miami", "Gardens", ",", "FL", "hiking", "trails" ]
[ 9, 10, 10, 10, 0, 0 ]
164,635
[ "plumber", "Visalia", ",", "CA" ]
[ 0, 9, 10, 10 ]
95,232
[ "find", "top", "-", "rated", "hospitals", "in", "Elizabeth", "NJ" ]
[ 0, 0, 0, 0, 0, 0, 9, 10 ]
337,662
[ "plumbing", "services", "in", "Toms", "River", ",", "NJ" ]
[ 0, 0, 0, 9, 10, 10, 10 ]
74,752
[ "local", "electricians", "in", "Trenton", ",", "New", "Jersey" ]
[ 0, 0, 0, 9, 10, 10, 10 ]
324,219
[ "weather", "Pinellas", "Park" ]
[ 0, 5, 6 ]
169,406
[ "Can", "I", "meet", "Prince", "William", "in", "New", "York", "City", ",", "New", "York", "?" ]
[ 0, 0, 0, 1, 2, 0, 9, 10, 10, 10, 10, 10, 0 ]
366,383
[ "best", "cafes", "Racine", ",", "Wisconsin" ]
[ 0, 0, 9, 10, 10 ]
53,624
[ "physio", "therapy", "Saint", "Peters" ]
[ 0, 0, 5, 6 ]
396,112
[ "Canton", ",", "MI", "burgers" ]
[ 9, 10, 10, 0 ]
231,751
[ "parks", "Garland", ",", "TX" ]
[ 0, 9, 10, 10 ]
33,195
[ "can", "I", "book", "a", "doctor", "appointment", "at", "Glendale", "Unified", "School", "District", "in", "NH", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 3, 4, 4, 4, 0, 7, 0 ]
392,099
[ "emergency", "services", "Tallahassee", ",", "FL" ]
[ 0, 0, 9, 10, 10 ]
13,826
[ "car", "repair", "Valdosta", ",", "Georgia" ]
[ 0, 0, 9, 10, 10 ]
354,115
[ "Does", "Kamala", "Harris", "have", "a", "speech", "in", "Philadelphia", "PA", "?" ]
[ 0, 1, 2, 0, 0, 0, 0, 9, 10, 0 ]
218,295
[ "sushi", "Turlock", ",", "CA" ]
[ 0, 9, 10, 10 ]
148,354
[ "Roseville", "CA", "burgers" ]
[ 9, 10, 0 ]
378,590
[ "can", "I", "book", "a", "doctor", "appointment", "at", "Cincinnati", "Reds", "Baseball", "Club", "in", "California", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 3, 4, 4, 4, 0, 7, 0 ]
337,672
[ "ramen", "plymouth" ]
[ 0, 5 ]
56,432
[ "does", "Chesapeake", "Energy", "Corporation", "offer", "roof", "repair", "in", "Greeley", ",", "CO", "?" ]
[ 0, 3, 4, 4, 0, 0, 0, 0, 9, 10, 10, 0 ]
273,396
[ "roof", "repair", "Shreveport" ]
[ 0, 0, 5 ]
130,655
[ "cakes", "New", "South", "Memphis", ",", "TN" ]
[ 0, 9, 10, 10, 10, 10 ]
26,901
[ "what", "'", "s", "the", "weather", "forecast", "for", "taylorsville", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 5, 0 ]
424,501
[ "best", "stadium", "in", "maf" ]
[ 0, 0, 0, 5 ]
123,595