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
[ "idiosyncratic" ]
[ 0 ]
1,499
[ "ceviche", "NV" ]
[ 0, 7 ]
328,316
[ "JR", "gyros" ]
[ 0, 0 ]
317,360
[ "best", "pier", "in", "Los", "Angeles" ]
[ 0, 0, 0, 5, 6 ]
34,626
[ "Does", "Leonardo", "DiCaprio", "have", "a", "speech", "in", "Salem", ",", "Oregon", "?" ]
[ 0, 1, 2, 0, 0, 0, 0, 9, 10, 10, 0 ]
383,940
[ "dumplings", "Velvet", "Ridge" ]
[ 0, 0, 0 ]
204,980
[ "New", "York", "City", "hummus" ]
[ 5, 6, 6, 0 ]
411,252
[ "hiking", "trails", "Lake", "Charles" ]
[ 0, 0, 5, 6 ]
69,289
[ "does", "Indianapolis", "Marketing", "Solutions", "provide", "home", "repair", "services", "in", "Philadelphia", "?" ]
[ 0, 3, 4, 4, 0, 0, 0, 0, 0, 5, 0 ]
447,814
[ "schnitzel", "fay" ]
[ 0, 5 ]
344,782
[ "Is", "Johnny", "Cash", "available", "for", "an", "appointment", "in", "Huntsville", "?" ]
[ 0, 1, 2, 0, 0, 0, 0, 0, 5, 0 ]
92,501
[ "Is", "Logan", "Hughes", "available", "for", "an", "appointment", "in", "Boise", "?" ]
[ 0, 1, 2, 0, 0, 0, 0, 0, 5, 0 ]
401,037
[ "Top", "tempura", "restaurants", "in", "Flint", "MI", "this", "weekend" ]
[ 0, 0, 0, 0, 9, 10, 0, 0 ]
376,936
[ "Popular", "barbecue", "places", "in", "Miramar", ",", "FL" ]
[ 0, 0, 0, 0, 9, 10, 10 ]
428,385
[ "contact", "Tampa", "Bay", "Buccaneers", "Football", "Club", "in", "Manchester" ]
[ 0, 3, 4, 4, 4, 4, 0, 5 ]
320,748
[ "sandwiches", "Dublin", "CA" ]
[ 0, 9, 10 ]
191,746
[ "Top", "baklava", "restaurants", "in", "Houston", ",", "TX", "this", "weekend" ]
[ 0, 0, 0, 0, 9, 10, 10, 0, 0 ]
341,299
[ "can", "I", "book", "a", "doctor", "appointment", "at", "American", "Airlines", "in", "VA", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 3, 4, 0, 7, 0 ]
212,122
[ "plumbing", "services", "in", "Santee", "CA" ]
[ 0, 0, 0, 9, 10 ]
269,291
[ "Top", "pasta", "restaurants", "in", "Wichita", ",", "KS", "this", "weekend" ]
[ 0, 0, 0, 0, 9, 10, 10, 0, 0 ]
247,730
[ "best", "restaurants", "in", "Ventura", ",", "CA" ]
[ 0, 0, 0, 9, 10, 10 ]
238,727
[ "pharmacies", "South", "San", "Francisco" ]
[ 0, 5, 6, 6 ]
181,772
[ "hours", "of", "Pasadena", "Legal", "Consultants", "in", "Fresno" ]
[ 0, 0, 3, 4, 4, 0, 5 ]
285,611
[ "best", "mountain", "in", "East", "Independence" ]
[ 0, 0, 0, 5, 6 ]
348,088
[ "AL", "barbecue" ]
[ 7, 0 ]
213,192
[ "Fullerton", "CA", "pharmacies" ]
[ 9, 10, 0 ]
396,463
[ "best", "cafes", "in", "El", "Monte", ",", "CA" ]
[ 0, 0, 0, 9, 10, 10, 10 ]
90,310
[ "florist", "San", "Antoni" ]
[ 0, 5, 6 ]
403,991
[ "Where", "does", "Virat", "Kohli", "live", "?" ]
[ 0, 0, 1, 2, 0, 0 ]
8,696
[ "best", "rated", "Fresno", "State", "University", "in", "Cedar", "Park", "TX" ]
[ 0, 0, 3, 4, 4, 0, 9, 10, 10 ]
96,362
[ "Where", "to", "eat", "quesadillas", "in", "Irvine", ",", "CA", "?" ]
[ 0, 0, 0, 0, 0, 9, 10, 10, 0 ]
226,922
[ "burgers", "Palm", "Coast", ",", "FL" ]
[ 0, 9, 10, 10, 10 ]
256,775
[ "laksa", "in", "SC" ]
[ 0, 0, 7 ]
231,847
[ "Affordable", "Italian", "restaurants", "in", "New", "South", "Memphis", ",", "TN" ]
[ 0, 0, 0, 0, 9, 10, 10, 10, 10 ]
65,301
[ "Affordable", "Italian", "restaurants", "in", "Atlanta", ",", "Georgia" ]
[ 0, 0, 0, 0, 9, 10, 10 ]
269,202
[ "plumber", "Olympia", "WA" ]
[ 0, 9, 10 ]
415,694
[ "Can", "I", "meet", "Stephen", "Hawking", "in", "Ridgewood", ",", "NY", "?" ]
[ 0, 0, 0, 1, 2, 0, 9, 10, 10, 0 ]
448,873
[ "croissants", "in", "Frostspire" ]
[ 0, 0, 0 ]
376,821
[ "best", "restaurants", "sfo" ]
[ 0, 0, 5 ]
163,960
[ "Santa", "Clara", ",", "California", "movie", "theaters" ]
[ 9, 10, 10, 10, 0, 0 ]
2,851
[ "Top", "-", "rated", "cafes", "in", "Indianapolis", "IN" ]
[ 0, 0, 0, 0, 0, 9, 10 ]
290,016
[ "Wichita", "Falls", "TX", "temperature" ]
[ 9, 10, 10, 0 ]
30,634
[ "seafood", "Grand", "Rapids", ",", "Michigan" ]
[ 0, 9, 10, 10, 10 ]
113,915
[ "gyms", "in", "chicago" ]
[ 0, 0, 5 ]
128,542
[ "Daytona", "International", "Speedway", "in", "Murfreesboro", ",", "TN" ]
[ 3, 4, 4, 0, 9, 10, 10 ]
416,737
[ "Lake", "Elsinore", ",", "CA", "breakfast", "food" ]
[ 9, 10, 10, 10, 0, 0 ]
102,297
[ "events", "in", "Kansas", "City", ",", "KS", "this", "weekend" ]
[ 0, 0, 9, 10, 10, 10, 0, 0 ]
47,521
[ "gyms", "in", "Waldorf" ]
[ 0, 0, 5 ]
93,158
[ "Where", "to", "eat", "jollof", "rice", "in", "Little", "Rock", ",", "AR", "?" ]
[ 0, 0, 0, 0, 0, 0, 9, 10, 10, 10, 0 ]
351,471
[ "best", "mansion", "in", "Pleasanton" ]
[ 0, 0, 0, 5 ]
290,946
[ "gyms", "in", "Plainfield" ]
[ 0, 0, 5 ]
14,705
[ "car", "repair", "Pharr", "TX" ]
[ 0, 0, 9, 10 ]
243,183
[ "pork", "ribs", "QZ" ]
[ 0, 0, 0 ]
360,995
[ "Yorba", "Linda", ",", "CA", "fried", "chicken" ]
[ 9, 10, 10, 10, 0, 0 ]
34,529
[ "Arlington", "Cybersecurity", "Group", "reviews", "in", "ND" ]
[ 3, 4, 4, 0, 0, 7 ]
239,789
[ "Popular", "clam", "chowder", "places", "in", "Denver", ",", "CO" ]
[ 0, 0, 0, 0, 0, 9, 10, 10 ]
46,926
[ "Portsmouth", "Heights", ",", "VA", "ice", "cream" ]
[ 9, 10, 10, 10, 0, 0 ]
147,539
[ "Appleton", ",", "WI", "steak" ]
[ 9, 10, 10, 0 ]
71,689
[ "Cedar", "Park", ",", "Texas", "hamburgers" ]
[ 9, 10, 10, 10, 0 ]
74,035
[ "top", "hotels", "in", "Naperville", ",", "Illinois" ]
[ 0, 0, 0, 9, 10, 10 ]
21,502
[ "nurse", "east", "pensacola", "heights" ]
[ 0, 5, 6, 6 ]
222,625
[ "bibimbap", "Bellingham" ]
[ 0, 5 ]
257,873
[ "top", "-", "rated", "movie", "theaters", "in", "Miami", "Gardens", "FL" ]
[ 0, 0, 0, 0, 0, 0, 9, 10, 10 ]
120,094
[ "seafood", "Sandy", "Springs", "GA" ]
[ 0, 9, 10, 10 ]
164,569
[ "find", "hiking", "trails", "in", "Greeley", "CO" ]
[ 0, 0, 0, 0, 9, 10 ]
107,245
[ "pho", "in", "ND" ]
[ 0, 0, 7 ]
310,815
[ "top", "-", "rated", "roof", "repair", "Clearwater", "FL" ]
[ 0, 0, 0, 0, 0, 9, 10 ]
402,469
[ "hot", "dogs", "in", "QT" ]
[ 0, 0, 0, 0 ]
319,963
[ "Popular", "banh", "mi", "places", "in", "Olathe", ",", "KS" ]
[ 0, 0, 0, 0, 0, 9, 10, 10 ]
441,130
[ "sandwiches", "Gaithersburg", ",", "MD" ]
[ 0, 9, 10, 10 ]
254,674
[ "sushi", "Fremon" ]
[ 0, 5 ]
321,694
[ "hot", "dogs", "in", "ME" ]
[ 0, 0, 0, 7 ]
261,551
[ "does", "Jersey", "City", "Financial", "Group", "operate", "in", "New", "Rochelle", ",", "NY", "?" ]
[ 0, 3, 4, 4, 4, 0, 0, 9, 10, 10, 10, 0 ]
194,741
[ "weather", "forecast", "for", "Yuba", "City", "this", "weekend" ]
[ 0, 0, 0, 5, 6, 0, 0 ]
254,481
[ "places", "to", "visit", "in", "Maryvale" ]
[ 0, 0, 0, 0, 5 ]
44,911
[ "fondue", "WR" ]
[ 0, 0 ]
259,938
[ "nurse", "manchester" ]
[ 0, 5 ]
117,936
[ "cakes", "Lafayette", ",", "IN" ]
[ 0, 9, 10, 10 ]
245,647
[ "contact", "Spokane", "Transit", "Authority", "in", "Irving" ]
[ 0, 3, 4, 4, 0, 5 ]
190,778
[ "top", "badminto", "players" ]
[ 0, 0, 0 ]
12,440
[ "waffles", "QZ" ]
[ 0, 0 ]
34,248
[ "hospital", "Stockton", "CA" ]
[ 0, 9, 10 ]
260,763
[ "Is", "Bill", "Gates", "available", "for", "an", "appointment", "in", "Colton", "?" ]
[ 0, 1, 2, 0, 0, 0, 0, 0, 5, 0 ]
393,903
[ "movie", "theaters", "San", "Ramon" ]
[ 0, 0, 5, 6 ]
321,425
[ "restaurants", "near", "encinitas", "with", "good", "reviews" ]
[ 0, 0, 5, 0, 0, 0 ]
320,873
[ "Edina", "MN", "vegan", "food" ]
[ 9, 10, 0, 0 ]
338,677
[ "best", "temple", "in", "New", "York", "Cit" ]
[ 0, 0, 0, 5, 6, 6 ]
245,252
[ "home", "maintenance", "services", "in", "Lewisville", ",", "TX" ]
[ 0, 0, 0, 0, 9, 10, 10 ]
326,699
[ "Aurora", ",", "Illinois", "temperature" ]
[ 9, 10, 10, 0 ]
347,233
[ "asdfasdf" ]
[ 0 ]
1,470
[ "pasta", "Mesa", ",", "AZ" ]
[ 0, 9, 10, 10 ]
51,032
[ "lawyers", "in", "North", "Chicopee", ",", "Massachusetts" ]
[ 0, 0, 9, 10, 10, 10 ]
152,334
[ "What", "are", "Karim", "Benzema", "'", "s", "upcoming", "projects", "?" ]
[ 0, 0, 1, 2, 0, 0, 0, 0, 0 ]
86,160
[ "tacos", "Pleasanton", ",", "CA" ]
[ 0, 9, 10, 10 ]
110,487
[ "electrician", "rog" ]
[ 0, 5 ]
339,417
[ "Where", "to", "find", "the", "best", "seafood", "in", "Buffalo", "NY", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 9, 10, 0 ]
20,112
[ "hours", "of", "Lexington", "University", "Hospital", "in", "Mesa" ]
[ 0, 0, 3, 4, 4, 0, 5 ]
421,606
[ "pharmacies", "Methuen", ",", "MA" ]
[ 0, 9, 10, 10 ]
95,605
[ "best", "rated", "Johnson", "&", "Johnson", "in", "New", "York", "City", "NY" ]
[ 0, 0, 3, 4, 4, 0, 9, 10, 10, 10 ]
278,373
[ "Rohit", "Sharma", "movies" ]
[ 1, 2, 0 ]
108,094