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
[ "Boston", "Tech", "Solutions", "reviews", "in", "Colorado" ]
[ 3, 4, 4, 0, 0, 7 ]
98,502
[ "locations", "of", "The", "New", "York", "Times", "in", "Nevada" ]
[ 0, 0, 3, 4, 4, 4, 0, 7 ]
366,979
[ "weather", "forecast", "for", "West", "Albany", "this", "weekend" ]
[ 0, 0, 0, 5, 6, 0, 0 ]
83,581
[ "ramen", "Gilroy", ",", "California" ]
[ 0, 9, 10, 10 ]
261,226
[ "pharmacies", "Boyle", "Heights", ",", "CA" ]
[ 0, 9, 10, 10, 10 ]
8,341
[ "lawyers", "in", "Corpus", "Christi", ",", "Texas" ]
[ 0, 0, 9, 10, 10, 10 ]
152,153
[ "does", "Esther", "Duflo", "live", "in", "Albuquerque" ]
[ 0, 1, 2, 0, 0, 5 ]
442,938
[ "Affordable", "steakhouses", "in", "Fresno", ",", "California" ]
[ 0, 0, 0, 9, 10, 10 ]
410,531
[ "find", "top", "-", "rated", "hospitals", "in", "Cambridge", ",", "Massachusetts" ]
[ 0, 0, 0, 0, 0, 0, 9, 10, 10 ]
290,405
[ "Affordable", "diner", "in", "Great", "Falls", ",", "Montana" ]
[ 0, 0, 0, 9, 10, 10, 10 ]
399,683
[ "what", "'", "s", "the", "weather", "forecast", "for", "Hollywood", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 5, 0 ]
201,280
[ "hamburgers", "Yuma", ",", "AZ" ]
[ 0, 9, 10, 10 ]
179,523
[ "Best", "deals", "on", "car", "rentals", "in", "Los", "Angeles", ",", "California" ]
[ 0, 0, 0, 0, 0, 0, 9, 10, 10, 10 ]
129,864
[ "parks", "in", "Peabod" ]
[ 0, 0, 5 ]
193,635
[ "breakfast", "food", "Tyler", ",", "Texas" ]
[ 0, 0, 9, 10, 10 ]
291,096
[ "parks", "North", "Charleston", ",", "South", "Carolina" ]
[ 0, 9, 10, 10, 10, 10 ]
33,326
[ "fried", "rice", "in", "Arkansas" ]
[ 0, 0, 0, 7 ]
426,426
[ "samosa", "Kirkland" ]
[ 0, 5 ]
95,517
[ "best", "restaurants", "Livermore" ]
[ 0, 0, 5 ]
49,231
[ "Kindred", "Hollow", "souvlaki" ]
[ 0, 0, 0 ]
365,639
[ "roof", "repair", "specialists", "in", "Highlands", "Ranch" ]
[ 0, 0, 0, 0, 5, 6 ]
86,653
[ "best", "restaurants", "Brownsville" ]
[ 0, 0, 5 ]
112,267
[ "hospital", "Columbia", ",", "MD" ]
[ 0, 9, 10, 10 ]
1,403
[ "nearest", "branch", "of", "Miami", "International", "Airport", "in", "Owensbor" ]
[ 0, 0, 0, 3, 4, 4, 0, 5 ]
7,650
[ "hospital", "waterford" ]
[ 0, 5 ]
228,549
[ "Where", "to", "eat", "tandoori", "chicken", "in", "Los", "Angeles", ",", "CA", "?" ]
[ 0, 0, 0, 0, 0, 0, 9, 10, 10, 10, 0 ]
71,870
[ "exhib", "in", "menifee" ]
[ 0, 0, 5 ]
152,004
[ "Popular", "noodles", "places", "in", "San", "Jose", ",", "CA" ]
[ 0, 0, 0, 0, 9, 10, 10, 10 ]
319,784
[ "best", "rated", "GlaxoSmithKline", "in", "Los", "Angeles", ",", "CA" ]
[ 0, 0, 3, 0, 9, 10, 10, 10 ]
400,399
[ "Is", "Matt", "Damon", "traveling", "to", "ND", "next", "week", "?" ]
[ 0, 1, 2, 0, 0, 7, 0, 0, 0 ]
449,459
[ "breakfast", "food", "salem" ]
[ 0, 0, 5 ]
73,590
[ "Durham", "NC", "sandwiches" ]
[ 9, 10, 0 ]
174,690
[ "doctor", "west", "raleigh" ]
[ 0, 5, 6 ]
29,068
[ "Top", "destinations", "for", "all", "-", "inclusive", "resorts", "in", "Levittown", ",", "New", "York" ]
[ 0, 0, 0, 0, 0, 0, 0, 0, 9, 10, 10, 10 ]
283,783
[ "local", "electricians", "in", "Bensonhurst", ",", "New", "York" ]
[ 0, 0, 0, 9, 10, 10, 10 ]
250,746
[ "Best", "deals", "on", "road", "trips", "in", "Troy", ",", "MI" ]
[ 0, 0, 0, 0, 0, 0, 9, 10, 10 ]
242,569
[ "physio", "therapy", "Colorado", "Spring" ]
[ 0, 0, 5, 6 ]
259,305
[ "Popular", "roti", "places", "in", "San", "Antonio", ",", "TX" ]
[ 0, 0, 0, 0, 9, 10, 10, 10 ]
278,312
[ "Olathe", ",", "Kansas", "desserts" ]
[ 9, 10, 10, 0 ]
344,431
[ "best", "canyon", "in", "Irvine" ]
[ 0, 0, 0, 5 ]
118,328
[ "Where", "to", "eat", "paella", "in", "Toledo", ",", "OH", "?" ]
[ 0, 0, 0, 0, 0, 9, 10, 10, 0 ]
287,697
[ "Columbus", ",", "Georgia", "temperature" ]
[ 9, 10, 10, 0 ]
109,764
[ "home", "services", "Hammon" ]
[ 0, 0, 5 ]
284,153
[ "sushi", "Fordham" ]
[ 0, 5 ]
202,061
[ "tacos", "Royal", "Oak", ",", "Michigan" ]
[ 0, 9, 10, 10, 10 ]
313,486
[ "noodles", "in", "Thorncrest" ]
[ 0, 0, 0 ]
183,493
[ "home", "improvement", "Mesquit" ]
[ 0, 0, 5 ]
410,268
[ "home", "improvement", "services", "Palmdale", ",", "California" ]
[ 0, 0, 0, 9, 10, 10 ]
420,933
[ "sushi", "Naperville", ",", "Illinois" ]
[ 0, 9, 10, 10 ]
297,680
[ "noodles", "UR" ]
[ 0, 0 ]
14,582
[ "Meridian", ",", "Idaho", "hiking", "trails" ]
[ 9, 10, 10, 0, 0 ]
130,847
[ "pizza", "Boca", "Raton", "FL" ]
[ 0, 9, 10, 10 ]
26,407
[ "movie", "theaters", "Kokomo", "IN" ]
[ 0, 0, 9, 10 ]
115,693
[ "What", "are", "the", "most", "famous", "Indian", "restaurants", "in", "Sunrise", "Manor", ",", "NV", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 0, 9, 10, 10, 10, 0 ]
133,778
[ "Chattanooga", ",", "Tennessee", "soups" ]
[ 9, 10, 10, 0 ]
399,900
[ "Is", "Nikola", "Tesla", "traveling", "to", "SD", "next", "week", "?" ]
[ 0, 1, 2, 0, 0, 7, 0, 0, 0 ]
34,020
[ "Popular", "burritos", "places", "in", "Oxnard", ",", "CA" ]
[ 0, 0, 0, 0, 9, 10, 10 ]
410,295
[ "chimichurri", "steak", "near", "me", "schaumburg" ]
[ 0, 0, 0, 0, 5 ]
151,120
[ "empanadas", "in", "huntington", "beach" ]
[ 0, 0, 5, 6 ]
201,172
[ "Can", "I", "meet", "Stephanie", "Diaz", "in", "Omaha", ",", "Nebraska", "?" ]
[ 0, 0, 0, 1, 2, 0, 9, 10, 10, 0 ]
66,179
[ "Where", "to", "eat", "pork", "ribs", "in", "San", "Jose", "CA", "?" ]
[ 0, 0, 0, 0, 0, 0, 9, 10, 10, 0 ]
82,928
[ "Where", "to", "find", "the", "best", "ceviche", "in", "Chicago", ",", "IL", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 9, 10, 10, 0 ]
372,687
[ "coffee", "near", "me", "Fort", "Worth" ]
[ 0, 0, 0, 5, 6 ]
19,498
[ "restaurants", "near", "me", "newton" ]
[ 0, 0, 0, 5 ]
152,284
[ "Tampa", "FL", "steak" ]
[ 9, 10, 0 ]
36,193
[ "does", "Liam", "Neeson", "live", "in", "Danbury" ]
[ 0, 1, 2, 0, 0, 5 ]
219,008
[ "Yuba", "City", ",", "CA", "temperature" ]
[ 9, 10, 10, 10, 0 ]
219,378
[ "plumber", "Sandy" ]
[ 0, 5 ]
176,985
[ "West", "Coon", "Rapids", "MN", "sushi" ]
[ 9, 10, 10, 10, 0 ]
124,070
[ "hiking", "trails", "corona" ]
[ 0, 0, 5 ]
297,998
[ "Bakersfield", ",", "CA", "noodles" ]
[ 9, 10, 10, 0 ]
39,277
[ "top", "hotels", "in", "Allen", ",", "TX" ]
[ 0, 0, 0, 9, 10, 10 ]
129,209
[ "does", "Fayetteville", "Technical", "Community", "College", "operate", "in", "Medford", ",", "MA", "?" ]
[ 0, 3, 4, 4, 4, 0, 0, 9, 10, 10, 0 ]
192,867
[ "hours", "of", "Sacramento", "Kings", "Basketball", "Team", "in", "bradenton" ]
[ 0, 0, 3, 4, 4, 4, 0, 5 ]
214,044
[ "electrician", "Westland" ]
[ 0, 5 ]
335,459
[ "current", "weather", "lehi" ]
[ 0, 0, 5 ]
365,386
[ "Is", "Mason", "Hill", "traveling", "to", "RI", "next", "week", "?" ]
[ 0, 1, 2, 0, 0, 7, 0, 0, 0 ]
245,094
[ "poke", "bowl", "Tallahassee" ]
[ 0, 0, 5 ]
152,978
[ "Where", "to", "find", "the", "best", "falafel", "in", "Gilroy", ",", "CA", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 9, 10, 10, 0 ]
350,424
[ "pharmacies", "Dale", "City", ",", "Virginia" ]
[ 0, 9, 10, 10, 10 ]
78,718
[ "hiking", "trails", "Tacoma" ]
[ 0, 0, 5 ]
53,793
[ "North", "Carolina", "pizza" ]
[ 7, 8, 0 ]
70,989
[ "contact", "IBM", "in", "Georgetown" ]
[ 0, 3, 0, 5 ]
438,312
[ "poke", "bowl", "Bladewind" ]
[ 0, 0, 0 ]
105,310
[ "movie", "theaters", "richland" ]
[ 0, 0, 5 ]
163,721
[ "does", "Salem", "Health", "provide", "home", "repair", "services", "in", "carmichael", "?" ]
[ 0, 3, 4, 0, 0, 0, 0, 0, 5, 0 ]
207,878
[ "Edgewater", "ramen" ]
[ 5, 0 ]
317,611
[ "What", "are", "the", "benefits", "of", "having", "a", "savings", "account", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
11,003
[ "Best", "seafood", "restaurants", "in", "Rochester", "Hills", "MI" ]
[ 0, 0, 0, 0, 9, 10, 10 ]
37,464
[ "can", "I", "book", "a", "doctor", "appointment", "at", "Ford", "Motor", "Company", "in", "NE", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 3, 4, 4, 0, 7, 0 ]
356,156
[ "Top", "brunch", "restaurants", "in", "Columbia", ",", "Maryland", "this", "weekend" ]
[ 0, 0, 0, 0, 9, 10, 10, 0, 0 ]
383,412
[ "East", "Flatbush", ",", "New", "York", "sushi" ]
[ 9, 10, 10, 10, 10, 0 ]
154,075
[ "does", "Glendale", "Unified", "School", "District", "operate", "in", "Jacksonville", "FL", "?" ]
[ 0, 3, 4, 4, 4, 0, 0, 9, 10, 0 ]
342,856
[ "ramen", "places", "in", "Melbourne" ]
[ 0, 0, 0, 5 ]
108,436
[ "buffalo", "wings", "in", "Indiana" ]
[ 0, 0, 0, 7 ]
185,879
[ "San", "Diego", "Software", "Innovations", "in", "Riverside", ",", "CA" ]
[ 3, 4, 4, 4, 0, 9, 10, 10 ]
184,467
[ "doctor", "sat" ]
[ 0, 5 ]
64,061
[ "strudel", "near", "me", "Washington" ]
[ 0, 0, 0, 5 ]
261,647
[ "Arlington", "Cybersecurity", "Group", "in", "Manteca", ",", "California" ]
[ 3, 4, 4, 0, 9, 10, 10 ]
366,351
[ "seafood", "Enid", ",", "Oklahoma" ]
[ 0, 9, 10, 10 ]
378,609