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
[ "restaurants", "near", "me", "Vineland" ]
[ 0, 0, 0, 5 ]
27,924
[ "Burlington", ",", "North", "Carolina", "fried", "chicken" ]
[ 9, 10, 10, 10, 0, 0 ]
347,616
[ "does", "Audrey", "Hepburn", "live", "in", "Glendora" ]
[ 0, 1, 2, 0, 0, 5 ]
391,787
[ "West", "Town", ",", "Illinois", "hiking", "trails" ]
[ 9, 10, 10, 10, 0, 0 ]
354,468
[ "mop" ]
[ 0 ]
1,366
[ "Popular", "shabu", "shabu", "places", "in", "Redding", ",", "CA" ]
[ 0, 0, 0, 0, 0, 9, 10, 10 ]
143,031
[ "home", "services", "redding" ]
[ 0, 0, 5 ]
141,351
[ "baklava", "Elder", "City" ]
[ 0, 0, 0 ]
397,978
[ "malai", "kofta", "Echo", "City" ]
[ 0, 0, 0, 0 ]
314,194
[ "Tranquil", "City", "dumplings" ]
[ 0, 0, 0 ]
170,672
[ "can", "I", "book", "a", "doctor", "appointment", "at", "Virginia", "Beach", "Public", "Schools", "in", "OR", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 3, 4, 4, 4, 0, 7, 0 ]
368,619
[ "New", "Mexico", "souvlaki" ]
[ 7, 8, 0 ]
67,487
[ "tamales", "in", "FW" ]
[ 0, 0, 0 ]
313,551
[ "does", "Santa", "Ana", "College", "operate", "in", "Orland", "Park", ",", "IL", "?" ]
[ 0, 3, 4, 4, 0, 0, 9, 10, 10, 10, 0 ]
401,484
[ "local", "electricians", "in", "Toledo", "OH" ]
[ 0, 0, 0, 9, 10 ]
227,820
[ "RP", "vegan", "food" ]
[ 0, 0, 0 ]
5,813
[ "plumber", "huf" ]
[ 0, 5 ]
362,446
[ "workout", "in", "Union" ]
[ 0, 0, 5 ]
82,566
[ "Where", "to", "find", "the", "best", "chili", "in", "Washington", ",", "DC", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 9, 10, 10, 0 ]
67,311
[ "emergency", "services", "Jackson", "Heights", ",", "New", "York" ]
[ 0, 0, 9, 10, 10, 10, 10 ]
140,794
[ "sck", "arepas" ]
[ 5, 0 ]
342,936
[ "Framingham", ",", "MA", "pharmacies" ]
[ 9, 10, 10, 0 ]
33,037
[ "best", "cafes", "in", "Waltha" ]
[ 0, 0, 0, 5 ]
269,478
[ "pharmacies", "Lincoln", "Park", ",", "IL" ]
[ 0, 9, 10, 10, 10 ]
37,652
[ "sparks", "barbecue" ]
[ 5, 0 ]
418,793
[ "Olympia", "WA", "parks" ]
[ 9, 10, 0 ]
442,396
[ "California", "gnocchi" ]
[ 7, 0 ]
283,334
[ "does", "Albuquerque", "Electronics", "Company", "provide", "home", "repair", "services", "in", "South", "Gate", "?" ]
[ 0, 3, 4, 4, 0, 0, 0, 0, 0, 5, 6, 0 ]
405,347
[ "Does", "Dylan", "Mitchell", "have", "a", "speech", "in", "Tacoma", "WA", "?" ]
[ 0, 1, 2, 0, 0, 0, 0, 9, 10, 0 ]
353,961
[ "conc", "in", "Brooklyn" ]
[ 0, 0, 5 ]
407,771
[ "best", "cafes", "McAllen", ",", "TX" ]
[ 0, 0, 9, 10, 10 ]
61,754
[ "perfor", "in", "Longmont" ]
[ 0, 0, 5 ]
392,364
[ "bibimbap", "in", "Minnesota" ]
[ 0, 0, 7 ]
154,571
[ "does", "St", ".", "Paul", "Medical", "Associates", "provide", "home", "repair", "services", "in", "Denver", "?" ]
[ 0, 3, 4, 4, 4, 4, 0, 0, 0, 0, 0, 5, 0 ]
177,861
[ "Where", "to", "eat", "hummus", "in", "Queens", "NY", "?" ]
[ 0, 0, 0, 0, 0, 9, 10, 0 ]
303,693
[ "contact", "Novartis", "in", "Stamford" ]
[ 0, 3, 0, 5 ]
209,907
[ "plumbing", "services", "in", "Bowie", "MD" ]
[ 0, 0, 0, 9, 10 ]
414,792
[ "Knoxville", "Symphony", "Orchestra", "in", "Irvine", ",", "CA" ]
[ 3, 4, 4, 0, 9, 10, 10 ]
308,186
[ "Top", "destinations", "for", "road", "trips", "in", "Mountain", "View", "CA" ]
[ 0, 0, 0, 0, 0, 0, 9, 10, 10 ]
361,635
[ "Where", "to", "find", "the", "best", "milkshakes", "in", "Boulder", "CO", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 9, 10, 0 ]
60,232
[ "ramen", "places", "in", "saf" ]
[ 0, 0, 0, 5 ]
368,425
[ "Kirkland", ",", "WA", "soups" ]
[ 9, 10, 10, 0 ]
134,083
[ "steak", "Oxnard", ",", "CA" ]
[ 0, 9, 10, 10 ]
181,787
[ "does", "Riverside", "Manufacturing", "Co", ".", "provide", "home", "repair", "services", "in", "Fort", "Wort", "?" ]
[ 0, 3, 4, 4, 4, 0, 0, 0, 0, 0, 5, 6, 0 ]
253,336
[ "Alameda", "temperature" ]
[ 5, 0 ]
288,154
[ "top", "hotels", "in", "bethlehem" ]
[ 0, 0, 0, 5 ]
272,948
[ "best", "rated", "New", "York", "University", "in", "Dallas", ",", "TX" ]
[ 0, 0, 3, 4, 4, 0, 9, 10, 10 ]
345,255
[ "hospital", "Eagan" ]
[ 0, 5 ]
48,255
[ "Emma", "Stone" ]
[ 1, 2 ]
7,924
[ "Best", "steakhouses", "in", "Springfield", ",", "MO" ]
[ 0, 0, 0, 9, 10, 10 ]
159,753
[ "What", "are", "the", "most", "famous", "family", "-", "friendly", "restaurants", "in", "Springfield", "MO", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9, 10, 0 ]
129,891
[ "hospital", "Palo", "Alto", ",", "California" ]
[ 0, 9, 10, 10, 10 ]
120,817
[ "Where", "to", "find", "the", "best", "cakes", "in", "Manhattan", ",", "KS", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 9, 10, 10, 0 ]
199,055
[ "emergency", "services", "eau", "claire" ]
[ 0, 0, 5, 6 ]
276,161
[ "movie", "theaters", "Meriden" ]
[ 0, 0, 5 ]
71,857
[ "find", "top", "-", "rated", "hospitals", "in", "Auburn", ",", "Washington" ]
[ 0, 0, 0, 0, 0, 0, 9, 10, 10 ]
72,183
[ "sushi", "Daly", "City", ",", "CA" ]
[ 0, 9, 10, 10, 10 ]
182,908
[ "frozen", "yogurt", "in", "Wytherstone" ]
[ 0, 0, 0, 0 ]
348,329
[ "Best", "pizzerias", "in", "The", "Bronx", ",", "NY" ]
[ 0, 0, 0, 9, 10, 10, 10 ]
191,351
[ "car", "repair", "Orange", "CA" ]
[ 0, 0, 9, 10 ]
192,069
[ "Albany", "NY", "movie", "theaters" ]
[ 9, 10, 0, 0 ]
182,465
[ "yakitori", "Blueshore" ]
[ 0, 0 ]
91,230
[ "weather", "Surprise" ]
[ 0, 5 ]
248,149
[ "soups", "Duluth", ",", "MN" ]
[ 0, 9, 10, 10 ]
143,997
[ "locations", "of", "Huntsville", "Hospital", "in", "DE" ]
[ 0, 0, 3, 4, 0, 7 ]
139,078
[ "Where", "to", "find", "the", "best", "burgers", "in", "Brownsville", ",", "TX", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 9, 10, 10, 0 ]
210,035
[ "Popular", "cheesecake", "places", "in", "Seattle", ",", "WA" ]
[ 0, 0, 0, 0, 9, 10, 10 ]
396,651
[ "burgers", "Fremont", ",", "CA" ]
[ 0, 9, 10, 10 ]
192,093
[ "Popular", "tacos", "places", "in", "Oxnard", ",", "CA" ]
[ 0, 0, 0, 0, 9, 10, 10 ]
295,540
[ "Does", "Hannah", "Lewis", "have", "a", "speech", "in", "City", "of", "Milford", "(", "balance", ")", ",", "CT", "?" ]
[ 0, 1, 2, 0, 0, 0, 0, 9, 10, 10, 10, 10, 10, 10, 10, 0 ]
413,348
[ "San", "Diego", ",", "CA", "sandwiches" ]
[ 9, 10, 10, 10, 0 ]
36,357
[ "DR", "quesadillas" ]
[ 0, 0 ]
315,421
[ "How", "to", "save", "Apple", "Pay", "for", "the", "future", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
12,028
[ "ramen", "Syracuse", ",", "NY" ]
[ 0, 9, 10, 10 ]
135,302
[ "Where", "to", "eat", "tacos", "in", "Manteca", ",", "CA", "?" ]
[ 0, 0, 0, 0, 0, 9, 10, 10, 0 ]
392,850
[ "weather", "El", "Cajon", ",", "California" ]
[ 0, 9, 10, 10, 10 ]
336,881
[ "Elkhart", ",", "Indiana", "parks" ]
[ 9, 10, 10, 0 ]
322,414
[ "parks", "Arlington", ",", "Texas" ]
[ 0, 9, 10, 10 ]
60,172
[ "Is", "Theresa", "May", "available", "for", "an", "appointment", "in", "las", "?" ]
[ 0, 1, 2, 0, 0, 0, 0, 0, 5, 0 ]
57,449
[ "Best", "deals", "on", "travel", "insurance", "in", "Houston", "TX" ]
[ 0, 0, 0, 0, 0, 0, 9, 10 ]
53,296
[ "doctor", "Richardson", "TX" ]
[ 0, 9, 10 ]
147,308
[ "best", "lighthouse", "in", "dallas" ]
[ 0, 0, 0, 5 ]
56,899
[ "plumbing", "services", "in", "Worcester", ",", "MA" ]
[ 0, 0, 0, 9, 10, 10 ]
33,261
[ "real", "estate", "agents", "Rochester" ]
[ 0, 0, 0, 5 ]
122,175
[ "hospital", "roanoke" ]
[ 0, 5 ]
421,209
[ "Best", "Chinese", "restaurants", "in", "Clarksville", "TN" ]
[ 0, 0, 0, 0, 9, 10 ]
152,827
[ "best", "cafes", "Hesperia", ",", "CA" ]
[ 0, 0, 9, 10, 10 ]
158,767
[ "Top", "destinations", "for", "ski", "trips", "in", "Indianapolis", ",", "IN" ]
[ 0, 0, 0, 0, 0, 0, 9, 10, 10 ]
174,240
[ "hiking", "trails", "Glendale" ]
[ 0, 0, 5 ]
49,151
[ "Can", "I", "meet", "Jacob", "Green", "in", "New", "York", "City", ",", "NY", "?" ]
[ 0, 0, 0, 1, 2, 0, 9, 10, 10, 10, 10, 0 ]
229,938
[ "curry", "in", "Harbor", "Reach" ]
[ 0, 0, 0, 0 ]
369,696
[ "best", "restaurants", "in", "Redding", "CA" ]
[ 0, 0, 0, 9, 10 ]
315,010
[ "home", "improvement", "Elk", "Grov" ]
[ 0, 0, 5, 6 ]
51,803
[ "home", "services", "mgm" ]
[ 0, 0, 5 ]
110,291
[ "hiking", "trails", "enchanted", "hills" ]
[ 0, 0, 5, 6 ]
247,523
[ "locations", "of", "Oracle", "Corporation", "in", "KS" ]
[ 0, 0, 3, 4, 0, 7 ]
207,762
[ "plumbing", "services", "in", "Utica", ",", "NY" ]
[ 0, 0, 0, 9, 10, 10 ]
245,666
[ "weather", "Casa", "Grande", ",", "AZ" ]
[ 0, 9, 10, 10, 10 ]
438,854
[ "cakes", "Fremont", "CA" ]
[ 0, 9, 10 ]
133,170
[ "nearest", "branch", "of", "Merck", "&", "Co", ".", "in", "Oakland" ]
[ 0, 0, 0, 3, 4, 4, 4, 0, 5 ]
106,689