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
[ "weather", "forecast", "Hoffman", "Estate" ]
[ 0, 0, 5, 6 ]
161,379
[ "KP", "banh", "mi" ]
[ 0, 0, 0 ]
171,165
[ "El", "Paso", ",", "TX", "brunch" ]
[ 9, 10, 10, 10, 0 ]
35,310
[ "dim", "sum", "QQ" ]
[ 0, 0, 0 ]
244,106
[ "ramen", "places", "in", "warwick" ]
[ 0, 0, 0, 5 ]
146,982
[ "does", "Nike", "Inc", ".", "operate", "in", "Bend", ",", "Oregon", "?" ]
[ 0, 3, 4, 4, 0, 0, 9, 10, 10, 0 ]
369,282
[ "What", "are", "the", "most", "famous", "seafood", "restaurants", "in", "Honolulu", "HI", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 0, 9, 10, 0 ]
164,987
[ "worksho", "in", "Fort", "Worth" ]
[ 0, 0, 5, 6 ]
23,656
[ "soups", "Wilmington", ",", "DE" ]
[ 0, 9, 10, 10 ]
80,014
[ "best", "cafes", "in", "normal" ]
[ 0, 0, 0, 5 ]
91,644
[ "best", "cafes", "in", "Dothan", ",", "Alabama" ]
[ 0, 0, 0, 9, 10, 10 ]
178,499
[ "fontana", "temperature" ]
[ 5, 0 ]
357,111
[ "glendora", "donuts" ]
[ 5, 0 ]
143,303
[ "home", "maintenance", "services", "in", "Santa", "Maria", ",", "California" ]
[ 0, 0, 0, 0, 9, 10, 10, 10 ]
367,224
[ "pho", "Connecticut" ]
[ 0, 7 ]
177,459
[ "seminar", "in", "Dallas" ]
[ 0, 0, 5 ]
106,789
[ "car", "repair", "miramar" ]
[ 0, 0, 5 ]
278,384
[ "Where", "to", "eat", "kebabs", "in", "Fargo", ",", "North", "Dakota", "?" ]
[ 0, 0, 0, 0, 0, 9, 10, 10, 10, 0 ]
115,314
[ "Vanguard", "Group", "in", "Cleveland", "OH" ]
[ 3, 4, 0, 9, 10 ]
367,951
[ "Popular", "clam", "chowder", "places", "in", "Memphis", "TN" ]
[ 0, 0, 0, 0, 0, 9, 10 ]
429,025
[ "events", "in", "Taylorsville", ",", "UT", "this", "weekend" ]
[ 0, 0, 9, 10, 10, 0, 0 ]
165,774
[ "electrician", "Santa", "Maria" ]
[ 0, 5, 6 ]
114,917
[ "Does", "Austin", "Hernandez", "have", "a", "speech", "in", "Escondido", ",", "CA", "?" ]
[ 0, 1, 2, 0, 0, 0, 0, 9, 10, 10, 0 ]
257,749
[ "Pocatello", ",", "ID", "seafood" ]
[ 9, 10, 10, 0 ]
444,151
[ "Santa", "Maria", "CA", "cakes" ]
[ 9, 10, 10, 0 ]
360,917
[ "Does", "Dalai", "Lama", "have", "a", "speech", "in", "Philadelphia", ",", "PA", "?" ]
[ 0, 1, 2, 0, 0, 0, 0, 9, 10, 10, 0 ]
224,510
[ "Can", "I", "meet", "Mitchell", "Wright", "in", "Wichita", ",", "KS", "?" ]
[ 0, 0, 0, 1, 2, 0, 9, 10, 10, 0 ]
40,215
[ "Federal", "Way", "WA", "temperature" ]
[ 9, 10, 10, 0 ]
207,501
[ "best", "sushi", "in", "Des", "Plaines", ",", "IL" ]
[ 0, 0, 0, 9, 10, 10, 10 ]
421,677
[ "guacamole", "Crescent", "Bluff" ]
[ 0, 0, 0 ]
372,463
[ "can", "I", "book", "a", "doctor", "appointment", "at", "Charlotte", "Digital", "Marketing", "in", "LA", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 3, 4, 4, 0, 7, 0 ]
223,740
[ "Wraithstone", "steak" ]
[ 0, 0 ]
189,237
[ "ramen", "Henderso" ]
[ 0, 5 ]
341,349
[ "Affordable", "Mexican", "restaurants", "in", "Lincoln", ",", "NE" ]
[ 0, 0, 0, 0, 9, 10, 10 ]
395,016
[ "hospital", "cheyenne" ]
[ 0, 5 ]
268,937
[ "pharmacies", "Royal", "Oak" ]
[ 0, 5, 6 ]
184,199
[ "does", "Toledo", "Museum", "of", "Art", "offer", "roof", "repair", "in", "West", "Albany", ",", "New", "York", "?" ]
[ 0, 3, 4, 4, 4, 0, 0, 0, 0, 9, 10, 10, 10, 10, 0 ]
272,089
[ "North", "Little", "Rock", ",", "AR", "parks" ]
[ 9, 10, 10, 10, 10, 0 ]
261,324
[ "souvlaki", "Glimmerbrook" ]
[ 0, 0 ]
337,390
[ "Where", "to", "eat", "pad", "thai", "in", "Philadelphia", ",", "PA", "?" ]
[ 0, 0, 0, 0, 0, 0, 9, 10, 10, 0 ]
192,858
[ "Top", "noodles", "restaurants", "in", "New", "Haven", "CT", "this", "weekend" ]
[ 0, 0, 0, 0, 9, 10, 10, 0, 0 ]
7,298
[ "home", "improvement", "New", "York", "City" ]
[ 0, 0, 5, 6, 6 ]
10,569
[ "Davis", ",", "California", "breakfast", "food" ]
[ 9, 10, 10, 0, 0 ]
36,478
[ "lawyers", "in", "Spring", "Valle" ]
[ 0, 0, 5, 6 ]
271,742
[ "Where", "to", "find", "the", "best", "plantains", "in", "Minnetonka", "Mills", ",", "Minnesota", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 9, 10, 10, 10, 0 ]
335,979
[ "Is", "Cole", "Thomas", "traveling", "to", "MI", "next", "week", "?" ]
[ 0, 1, 2, 0, 0, 7, 0, 0, 0 ]
154,777
[ "Where", "to", "eat", "ramen", "in", "Roswell", ",", "GA", "?" ]
[ 0, 0, 0, 0, 0, 9, 10, 10, 0 ]
390,123
[ "pizza", "Albany", "Park", "IL" ]
[ 0, 9, 10, 10 ]
439,395
[ "pasta", "MX" ]
[ 0, 0 ]
60,337
[ "hours", "of", "Springfield", "Cardinals", "Baseball", "Team", "in", "Surprise" ]
[ 0, 0, 3, 4, 4, 4, 0, 5 ]
269,724
[ "ramen", "Huntsville", ",", "AL" ]
[ 0, 9, 10, 10 ]
43,008
[ "Popular", "milkshakes", "places", "in", "Lansing", "MI" ]
[ 0, 0, 0, 0, 9, 10 ]
98,176
[ "Lubbock", "TX", "noodles" ]
[ 9, 10, 0 ]
4,143
[ "coffee", "near", "me", "Redwood", "City" ]
[ 0, 0, 0, 5, 6 ]
93,704
[ "schnitzel", "in", "Pinecairn" ]
[ 0, 0, 0 ]
47,617
[ "salads", "Fountainebleau", ",", "Florida" ]
[ 0, 9, 10, 10 ]
191,280
[ "gyms", "in", "Mesa" ]
[ 0, 0, 5 ]
12,973
[ "places", "to", "visit", "in", "deer", "valley" ]
[ 0, 0, 0, 0, 5, 6 ]
30,756
[ "breakfast", "food", "Summit", "City" ]
[ 0, 0, 0, 0 ]
304,270
[ "physio", "therapy", "Palm", "Bay", ",", "FL" ]
[ 0, 0, 9, 10, 10, 10 ]
88,357
[ "home", "services", "Lincoln", "Park" ]
[ 0, 0, 5, 6 ]
33,137
[ "pharmacies", "Abington", ",", "PA" ]
[ 0, 9, 10, 10 ]
136,005
[ "Fort", "Worth", ",", "TX", "cakes" ]
[ 9, 10, 10, 10, 0 ]
106,834
[ "roof", "repair", "specialists", "in", "corpus", "christi" ]
[ 0, 0, 0, 0, 5, 6 ]
39,283
[ "pharmacies", "in", "Kansas" ]
[ 0, 0, 7 ]
30,128
[ "hospitals", "in", "WA" ]
[ 0, 0, 7 ]
12,563
[ "Where", "to", "find", "the", "best", "miso", "soup", "in", "Wilmington", ",", "North", "Carolina", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 0, 9, 10, 10, 10, 0 ]
425,471
[ "pizza", "El", "Monte", ",", "California" ]
[ 0, 9, 10, 10, 10 ]
224,026
[ "clt", "fettuccine", "alfredo" ]
[ 5, 0, 0 ]
182,902
[ "pancakes", "Scranton" ]
[ 0, 5 ]
385,480
[ "Danbury", ",", "CT", "breakfast", "food" ]
[ 9, 10, 10, 0, 0 ]
251,120
[ "seafood", "Boston", ",", "Massachusetts" ]
[ 0, 9, 10, 10 ]
138,985
[ "nurse", "rio", "rancho" ]
[ 0, 5, 6 ]
377,497
[ "Nashua", "NH", "seafood" ]
[ 9, 10, 0 ]
16,103
[ "Great", "Falls", ",", "MT", "pharmacies" ]
[ 9, 10, 10, 10, 0 ]
63,302
[ "hamburgers", "Honolulu", "HI" ]
[ 0, 9, 10 ]
28,291
[ "San", "Francisco", "CA", "salads" ]
[ 9, 10, 10, 0 ]
214,253
[ "Is", "Novak", "Djokovic", "traveling", "to", "Alaska", "next", "week", "?" ]
[ 0, 1, 2, 0, 0, 7, 0, 0, 0 ]
97,637
[ "what", "'", "s", "the", "weather", "forecast", "for", "blaine", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 5, 0 ]
232,630
[ "car", "repair", "Visalia", ",", "CA" ]
[ 0, 0, 9, 10, 10 ]
158,110
[ "best", "lake", "in", "East", "Chattanooga" ]
[ 0, 0, 0, 5, 6 ]
370,068
[ "Is", "Jane", "Goodall", "traveling", "to", "Pennsylvania", "next", "week", "?" ]
[ 0, 1, 2, 0, 0, 7, 0, 0, 0 ]
144,655
[ "Harbor", "Reach", "fried", "chicken" ]
[ 0, 0, 0, 0 ]
323,109
[ "hours", "of", "Akron", "Public", "Schools", "in", "okc" ]
[ 0, 0, 3, 4, 4, 0, 5 ]
225,618
[ "stadium", "address" ]
[ 0, 0 ]
3,240
[ "best", "restaurants", "in", "Brentwood", ",", "NY" ]
[ 0, 0, 0, 9, 10, 10 ]
336,531
[ "home", "improvement", "services", "Bridgeport", ",", "CT" ]
[ 0, 0, 0, 9, 10, 10 ]
207,283
[ "Duluth", ",", "Minnesota", "steak" ]
[ 9, 10, 10, 0 ]
229,272
[ "lawyers", "in", "Fort", "Worth", ",", "TX" ]
[ 0, 0, 9, 10, 10, 10 ]
78,031
[ "best", "sushi", "in", "Fairfield", ",", "Connecticut" ]
[ 0, 0, 0, 9, 10, 10 ]
208,796
[ "Margate", ",", "FL", "fried", "chicken" ]
[ 9, 10, 10, 0, 0 ]
428,885
[ "home", "maintenance", "services", "in", "Lincoln", "Park", ",", "Illinois" ]
[ 0, 0, 0, 0, 9, 10, 10, 10 ]
338,077
[ "top", "hotels", "in", "Stratfor" ]
[ 0, 0, 0, 5 ]
119,299
[ "weather", "forecast", "Fontana" ]
[ 0, 0, 5 ]
190,745
[ "locations", "of", "Raleigh", "-", "Durham", "International", "Airport", "in", "TX" ]
[ 0, 0, 3, 4, 4, 4, 4, 0, 7 ]
117,692
[ "home", "improvement", "services", "Waterloo", ",", "IA" ]
[ 0, 0, 0, 9, 10, 10 ]
168,538
[ "pizza", "in", "Jamaica" ]
[ 0, 0, 5 ]
247,711
[ "teriyaki", "Umbershade" ]
[ 0, 0 ]
357,452
[ "locations", "of", "Los", "Angeles", "County", "Library", "in", "Michigan" ]
[ 0, 0, 3, 4, 4, 4, 0, 7 ]
87,548
[ "Eaglebrooke", "dim", "sum" ]
[ 0, 0, 0 ]
193,492