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
[ "What", "awards", "has", "Jamie", "Lee", "Curtis", "won", "?" ]
[ 0, 0, 0, 1, 2, 2, 0, 0 ]
24,098
[ "what", "'", "s", "the", "weather", "forecast", "for", "Tallahasse", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 5, 0 ]
138,638
[ "weather", "Santa", "Rosa" ]
[ 0, 5, 6 ]
201,094
[ "does", "Albany", "Law", "School", "operate", "in", "Laredo", ",", "TX", "?" ]
[ 0, 3, 4, 4, 0, 0, 9, 10, 10, 0 ]
423,861
[ "tacos", "near", "me", "cape", "coral" ]
[ 0, 0, 0, 5, 6 ]
338,588
[ "Does", "Owen", "Jenkins", "have", "a", "speech", "in", "Salt", "Lake", "City", "UT", "?" ]
[ 0, 1, 2, 0, 0, 0, 0, 9, 10, 10, 10, 0 ]
350,491
[ "steak", "Noblesville", ",", "Indiana" ]
[ 0, 9, 10, 10 ]
359,011
[ "breakfast", "food", "in", "HI" ]
[ 0, 0, 0, 7 ]
342,842
[ "Top", "destinations", "for", "travel", "insurance", "in", "New", "Orleans", "LA" ]
[ 0, 0, 0, 0, 0, 0, 9, 10, 10 ]
308,610
[ "weather", "forecast", "Round", "Rock" ]
[ 0, 0, 5, 6 ]
252,228
[ "Provo", "UT", "temperature" ]
[ 9, 10, 0 ]
346,640
[ "spring", "rolls", "Nevada" ]
[ 0, 0, 7 ]
400,513
[ "does", "Xi", "Jinping", "live", "in", "Lakewoo" ]
[ 0, 1, 2, 0, 0, 5 ]
380,862
[ "home", "improvement", "contractors", "near", "Raleigh", ",", "NC" ]
[ 0, 0, 0, 0, 9, 10, 10 ]
64,718
[ "burgers", "The", "Bronx", ",", "NY" ]
[ 0, 9, 10, 10, 10 ]
39,667
[ "goulash", "VW" ]
[ 0, 0 ]
334,359
[ "best", "restaurants", "in", "Baldwin", "Park", ",", "CA" ]
[ 0, 0, 0, 9, 10, 10, 10 ]
95,389
[ "french", "fries", "in", "Kennewick" ]
[ 0, 0, 0, 5 ]
210,657
[ "racquetball", "schedule" ]
[ 0, 0 ]
7,382
[ "car", "repair", "Chula", "Vista", ",", "CA" ]
[ 0, 0, 9, 10, 10, 10 ]
159,977
[ "plano", "temperature" ]
[ 5, 0 ]
146,014
[ "seafood", "Lodi", ",", "California" ]
[ 0, 9, 10, 10 ]
381,085
[ "Affordable", "vegan", "restaurants", "in", "Santa", "Clarita", ",", "CA" ]
[ 0, 0, 0, 0, 9, 10, 10, 10 ]
301,630
[ "is", "Sylvester", "Stallone", "married", "?" ]
[ 0, 1, 2, 0, 0 ]
323,027
[ "top", "hotels", "in", "Walnut", "Creek" ]
[ 0, 0, 0, 5, 6 ]
410,989
[ "tacos", "Tulsa", "OK" ]
[ 0, 9, 10 ]
91,114
[ "nurse", "Palm", "Coast" ]
[ 0, 5, 6 ]
148,656
[ "crepes", "in", "Highland" ]
[ 0, 0, 5 ]
438,818
[ "can", "I", "book", "a", "doctor", "appointment", "at", "Boise", "State", "University", "in", "WA", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 3, 4, 4, 0, 7, 0 ]
352,096
[ "hospital", "ny" ]
[ 0, 5 ]
95,799
[ "lawyers", "in", "Boca", "Raton", ",", "FL" ]
[ 0, 0, 9, 10, 10, 10 ]
292,220
[ "lawyers", "in", "Hollywood", "CA" ]
[ 0, 0, 9, 10 ]
148,743
[ "fondue", "QT" ]
[ 0, 0 ]
189,845
[ "hot", "dogs", "in", "District", "of", "Columbia" ]
[ 0, 0, 0, 7, 8, 8 ]
409,610
[ "fried", "chicken", "Edison", ",", "NJ" ]
[ 0, 0, 9, 10, 10 ]
46,912
[ "Brockton", ",", "Massachusetts", "breakfast", "food" ]
[ 9, 10, 10, 0, 0 ]
53,686
[ "Miami", "Lakes", "Software", "Solutions", "reviews", "in", "Tennessee" ]
[ 3, 4, 4, 4, 0, 0, 7 ]
108,630
[ "hamburgers", "Millcreek", ",", "UT" ]
[ 0, 9, 10, 10 ]
18,144
[ "top", "-", "rated", "movie", "theaters", "in", "Edinburg", ",", "TX" ]
[ 0, 0, 0, 0, 0, 0, 9, 10, 10 ]
219,818
[ "Hamden", "CT", "vegan", "food" ]
[ 9, 10, 0, 0 ]
84,156
[ "sushi", "Southaven", ",", "MS" ]
[ 0, 9, 10, 10 ]
319,970
[ "home", "improvement", "contractors", "near", "Greeley", "CO" ]
[ 0, 0, 0, 0, 9, 10 ]
359,091
[ "home", "improvement", "contractors", "near", "Grand", "Prairie", ",", "TX" ]
[ 0, 0, 0, 0, 9, 10, 10, 10 ]
141,574
[ "movie", "theaters", "Peabody", ",", "MA" ]
[ 0, 0, 9, 10, 10 ]
142,249
[ "Affordable", "Italian", "restaurants", "in", "Wheaton", "IL" ]
[ 0, 0, 0, 0, 9, 10 ]
294,852
[ "Arizona", "kimchi" ]
[ 7, 0 ]
376,827
[ "top", "hotels", "in", "Antioch" ]
[ 0, 0, 0, 5 ]
68,298
[ "best", "river", "in", "Tampa" ]
[ 0, 0, 0, 5 ]
96,913
[ "Affordable", "Chinese", "restaurants", "in", "College", "Station", ",", "TX" ]
[ 0, 0, 0, 0, 9, 10, 10, 10 ]
239,780
[ "best", "monument", "in", "Athens" ]
[ 0, 0, 0, 5 ]
154,503
[ "sushi", "McAllen" ]
[ 0, 5 ]
124,271
[ "Popular", "cakes", "places", "in", "Los", "Angeles", "CA" ]
[ 0, 0, 0, 0, 9, 10, 10 ]
195,272
[ "does", "Shreveport", "Regional", "Airport", "provide", "home", "repair", "services", "in", "Lincoln", "Park", "?" ]
[ 0, 3, 4, 4, 0, 0, 0, 0, 0, 5, 6, 0 ]
230,399
[ "Framingham", ",", "MA", "burgers" ]
[ 9, 10, 10, 0 ]
168,845
[ "Tennessee", "shabu", "shabu" ]
[ 7, 0, 0 ]
410,821
[ "top", "-", "rated", "roof", "repair", "West", "Valley", "City", ",", "UT" ]
[ 0, 0, 0, 0, 0, 9, 10, 10, 10, 10 ]
169,460
[ "does", "Gal", "Gadot", "live", "in", "port", "saint", "lucie" ]
[ 0, 1, 2, 0, 0, 5, 6, 6 ]
348,352
[ "car", "repair", "Simi", "Valle" ]
[ 0, 0, 5, 6 ]
260,296
[ "best", "cafes", "in", "Uptown", ",", "IL" ]
[ 0, 0, 0, 9, 10, 10 ]
240,717
[ "best", "cafes", "in", "Riversid" ]
[ 0, 0, 0, 5 ]
388,500
[ "parks", "in", "ccr" ]
[ 0, 0, 5 ]
316,428
[ "breakfast", "food", "Greensboro", "NC" ]
[ 0, 0, 9, 10 ]
106,527
[ "arena", "entry", "fee" ]
[ 0, 0, 0 ]
20,235
[ "Ventura", ",", "CA", "pizza" ]
[ 9, 10, 10, 0 ]
56,932
[ "buffalo", "wings", "in", "Fayettevill" ]
[ 0, 0, 0, 5 ]
56,616
[ "emergency", "services", "Flower", "Mound" ]
[ 0, 0, 5, 6 ]
316,192
[ "physio", "therapy", "El", "Mont" ]
[ 0, 0, 5, 6 ]
348,205
[ "Lakeshore", "Valley", "yakitori" ]
[ 0, 0, 0 ]
299,143
[ "emergency", "services", "roc" ]
[ 0, 0, 5 ]
348,487
[ "best", "garden", "in", "Tri", "-", "Cities" ]
[ 0, 0, 0, 5, 6, 6 ]
384,385
[ "Norwalk", ",", "CT", "soups" ]
[ 9, 10, 10, 0 ]
352,889
[ "nurse", "Midland" ]
[ 0, 5 ]
83,880
[ "best", "garden", "in", "Columbus" ]
[ 0, 0, 0, 5 ]
3,316
[ "soups", "Universal", "City", ",", "CA" ]
[ 0, 9, 10, 10, 10 ]
62,975
[ "weather", "forecast", "houston" ]
[ 0, 0, 5 ]
45,611
[ "Where", "to", "find", "the", "best", "roti", "in", "Bellingham", ",", "WA", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 9, 10, 10, 0 ]
262,193
[ "hiking", "trails", "Rockville", ",", "Maryland" ]
[ 0, 0, 9, 10, 10 ]
39,318
[ "Popular", "burgers", "places", "in", "Koreatown", ",", "CA" ]
[ 0, 0, 0, 0, 9, 10, 10 ]
445,809
[ "tzatziki", "in", "NT" ]
[ 0, 0, 0 ]
347,604
[ "best", "restaurants", "in", "Texas" ]
[ 0, 0, 0, 7 ]
23,361
[ "nearest", "branch", "of", "Boise", "State", "University", "in", "National", "City" ]
[ 0, 0, 0, 3, 4, 4, 0, 5, 6 ]
394,202
[ "vegan", "food", "in", "Tideridge" ]
[ 0, 0, 0, 0 ]
186,951
[ "pharmacies", "Hoover", ",", "Alabama" ]
[ 0, 9, 10, 10 ]
231,222
[ "best", "restaurants", "in", "South", "Gate", ",", "CA" ]
[ 0, 0, 0, 9, 10, 10, 10 ]
304,057
[ "Financial", "District", ",", "NY", "seafood" ]
[ 9, 10, 10, 10, 0 ]
111,506
[ "electrician", "Hialeah" ]
[ 0, 5 ]
116,211
[ "brunch", "Conroe", ",", "Texas" ]
[ 0, 9, 10, 10 ]
370,735
[ "hospital", "Fairfield", ",", "California" ]
[ 0, 9, 10, 10 ]
388,134
[ "North", "Hills", ",", "CA", "burgers" ]
[ 9, 10, 10, 10, 0 ]
195,204
[ "local", "electricians", "in", "Uptown", ",", "IL" ]
[ 0, 0, 0, 9, 10, 10 ]
312,790
[ "nearest", "branch", "of", "Phoenix", "Solar", "Power", "in", "St", ".", "Louis" ]
[ 0, 0, 0, 3, 4, 4, 0, 5, 6, 6 ]
57,298
[ "local", "electricians", "in", "Cedar", "Rapids", ",", "IA" ]
[ 0, 0, 0, 9, 10, 10, 10 ]
274,476
[ "current", "weather", "Miami", "Gardens" ]
[ 0, 0, 5, 6 ]
59,245
[ "farmington", "hills", "temperature" ]
[ 5, 6, 0 ]
299,934
[ "Awkwafina", "net", "worth" ]
[ 1, 0, 0 ]
68,650
[ "Where", "to", "eat", "dim", "sum", "in", "Manhattan", ",", "NY", "?" ]
[ 0, 0, 0, 0, 0, 0, 9, 10, 10, 0 ]
344,004
[ "best", "sushi", "in", "Paradise", ",", "Nevada" ]
[ 0, 0, 0, 9, 10, 10 ]
427,680
[ "ramen", "Sunrise", "Manor", ",", "Nevada" ]
[ 0, 9, 10, 10, 10 ]
13,963
[ "roof", "repair", "west", "covina" ]
[ 0, 0, 5, 6 ]
114,101
[ "home", "maintenance", "services", "in", "Columbia", ",", "SC" ]
[ 0, 0, 0, 0, 9, 10, 10 ]
275,800