Datasets:
Mozilla
/
smart_ner_dataset

Dataset card Data Studio Files
xet
Community
2
tokens
listlengths
1
19
ner_tags
listlengths
1
19
id
int64
0
450k
[ "coffee", "near", "me", "territory", "of", "columbia" ]
[ 0, 0, 0, 5, 6, 6 ]
206,634
[ "doctor", "West", "Haven", "CT" ]
[ 0, 9, 10, 10 ]
297,164
[ "physio", "therapy", "Gainesville", "FL" ]
[ 0, 0, 9, 10 ]
22,353
[ "does", "Felicity", "Jones", "live", "in", "Austin" ]
[ 0, 1, 2, 0, 0, 5 ]
301,812
[ "lawyers", "in", "Burban" ]
[ 0, 0, 5 ]
362,425
[ "ramen", "near", "me", "Los", "Angeles" ]
[ 0, 0, 0, 5, 6 ]
38,452
[ "soups", "Bonita", "Springs", ",", "FL" ]
[ 0, 9, 10, 10, 10 ]
35,321
[ "does", "Henderson", "Engineering", "operate", "in", "Canarsie", ",", "NY", "?" ]
[ 0, 3, 4, 0, 0, 9, 10, 10, 0 ]
390,689
[ "nearest", "branch", "of", "The", "New", "York", "Times", "in", "San", "Diego" ]
[ 0, 0, 0, 3, 4, 4, 4, 0, 5, 6 ]
135,878
[ "roof", "repair", "near", "hammond" ]
[ 0, 0, 0, 5 ]
138,994
[ "What", "are", "Geoffrey", "Rush", "'", "s", "upcoming", "projects", "?" ]
[ 0, 0, 1, 2, 0, 0, 0, 0, 0 ]
77,023
[ "Downey", ",", "California", "noodles" ]
[ 9, 10, 10, 0 ]
317,925
[ "what", "'", "s", "the", "weather", "forecast", "for", "Richardso", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 5, 0 ]
441,750
[ "Top", "tacos", "restaurants", "in", "Dubuque", ",", "IA", "this", "weekend" ]
[ 0, 0, 0, 0, 9, 10, 10, 0, 0 ]
300,757
[ "ramen", "places", "in", "Philadelphia" ]
[ 0, 0, 0, 5 ]
28,767
[ "desserts", "Grand", "Rapids", "MI" ]
[ 0, 9, 10, 10 ]
375,507
[ "best", "restaurants", "Madiso" ]
[ 0, 0, 5 ]
405,893
[ "Keira", "Knightley", "age" ]
[ 1, 2, 0 ]
15,399
[ "Where", "to", "eat", "stuffed", "crust", "pizza", "in", "Las", "Vegas", ",", "NV", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 9, 10, 10, 10, 0 ]
441,471
[ "Columbia", "University", "reviews", "in", "Delaware" ]
[ 3, 4, 0, 0, 7 ]
110,376
[ "Is", "Nelson", "Mandela", "traveling", "to", "Arkansas", "next", "week", "?" ]
[ 0, 1, 2, 0, 0, 7, 0, 0, 0 ]
405,783
[ "pork", "ribs", "in", "Little", "Havana" ]
[ 0, 0, 0, 5, 6 ]
352,208
[ "Affordable", "family", "-", "friendly", "restaurants", "in", "Alhambra", ",", "CA" ]
[ 0, 0, 0, 0, 0, 0, 9, 10, 10 ]
370,087
[ "Whittier", ",", "California", "noodles" ]
[ 9, 10, 10, 0 ]
360,177
[ "hiking", "trails", "terre", "haute" ]
[ 0, 0, 5, 6 ]
361,380
[ "hospital", "San", "Diego", "CA" ]
[ 0, 9, 10, 10 ]
15,943
[ "Top", "buffalo", "wings", "restaurants", "in", "East", "Flatbush", ",", "NY", "this", "weekend" ]
[ 0, 0, 0, 0, 0, 9, 10, 10, 10, 0, 0 ]
359,495
[ "quesadillas", "in", "GA" ]
[ 0, 0, 7 ]
131,637
[ "car", "repair", "Fort", "Wayne", ",", "Indiana" ]
[ 0, 0, 9, 10, 10, 10 ]
71,004
[ "Manteca", "CA", "best", "cafes" ]
[ 9, 10, 0, 0 ]
184,545
[ "restaurants", "near", "me", "Chico" ]
[ 0, 0, 0, 5 ]
379,626
[ "Popular", "french", "fries", "places", "in", "Bloomington", ",", "IN" ]
[ 0, 0, 0, 0, 0, 9, 10, 10 ]
441,702
[ "Where", "to", "eat", "buffalo", "wings", "in", "Rockville", ",", "MD", "?" ]
[ 0, 0, 0, 0, 0, 0, 9, 10, 10, 0 ]
362,052
[ "Where", "to", "find", "the", "best", "fried", "chicken", "in", "Schenectady", "NY", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 0, 9, 10, 0 ]
337,712
[ "Honolulu", ",", "HI", "burgers" ]
[ 9, 10, 10, 0 ]
74,500
[ "soups", "Spokane", ",", "WA" ]
[ 0, 9, 10, 10 ]
125,225
[ "sushi", "leesburg" ]
[ 0, 5 ]
252,311
[ "Lakeland", "FL", "seafood" ]
[ 9, 10, 0 ]
80,311
[ "weather", "forecast", "Hendersonville" ]
[ 0, 0, 5 ]
14,320
[ "Tamiami", ",", "FL", "noodles" ]
[ 9, 10, 10, 0 ]
388,098
[ "plumber", "West", "Allis", ",", "Wisconsin" ]
[ 0, 9, 10, 10, 10 ]
123,783
[ "Top", "-", "rated", "Chinese", "restaurants", "in", "South", "Boston", ",", "MA" ]
[ 0, 0, 0, 0, 0, 0, 9, 10, 10, 10 ]
233,048
[ "Carmichael", ",", "CA", "breakfast", "food" ]
[ 9, 10, 10, 0, 0 ]
343,856
[ "locations", "of", "Toledo", "Museum", "of", "Art", "in", "AK" ]
[ 0, 0, 3, 4, 4, 4, 0, 7 ]
443,065
[ "AK", "paella" ]
[ 7, 0 ]
274,318
[ "Goldenvale", "crepes" ]
[ 0, 0 ]
33,365
[ "car", "repair", "wichita" ]
[ 0, 0, 5 ]
136,926
[ "Does", "Charles", "Darwin", "have", "a", "speech", "in", "Wichita", ",", "Kansas", "?" ]
[ 0, 1, 2, 0, 0, 0, 0, 9, 10, 10, 0 ]
337,900
[ "Is", "Elton", "John", "traveling", "to", "New", "York", "next", "week", "?" ]
[ 0, 1, 2, 0, 0, 7, 8, 0, 0, 0 ]
119,312
[ "Where", "does", "Hugo", "Weaving", "live", "?" ]
[ 0, 0, 1, 2, 0, 0 ]
74,083
[ "What", "awards", "has", "Bob", "Odenkirk", "won", "?" ]
[ 0, 0, 0, 1, 2, 0, 0 ]
17,193
[ "smoothies", "St", ".", "Louis" ]
[ 0, 5, 6, 6 ]
226,775
[ "Does", "Justin", "Trudeau", "have", "a", "speech", "in", "Milwaukee", ",", "WI", "?" ]
[ 0, 1, 2, 0, 0, 0, 0, 9, 10, 10, 0 ]
324,211
[ "contact", "Chattanooga", "Symphony", "and", "Opera", "in", "New", "York", "Cit" ]
[ 0, 3, 4, 4, 4, 0, 5, 6, 6 ]
330,065
[ "best", "zoo", "in", "Fort", "Worth" ]
[ 0, 0, 0, 5, 6 ]
275,636
[ "who", "are", "the", "top", "doctors", "in", "Lynn", "MA", "?" ]
[ 0, 0, 0, 0, 0, 0, 9, 10, 0 ]
370,812
[ "Is", "Xi", "Jinping", "available", "for", "an", "appointment", "in", "New", "Orleans", "?" ]
[ 0, 1, 2, 0, 0, 0, 0, 0, 5, 6, 0 ]
355,526
[ "seafood", "in", "New", "York", "City" ]
[ 0, 0, 5, 6, 6 ]
206,331
[ "sushi", "Plano", "TX" ]
[ 0, 9, 10 ]
78,546
[ "bhm", "strudel" ]
[ 5, 0 ]
47,714
[ "breakfast", "food", "AK" ]
[ 0, 0, 7 ]
328,585
[ "Popular", "croquettes", "places", "in", "Castro", "Valley", "CA" ]
[ 0, 0, 0, 0, 9, 10, 10 ]
362,303
[ "events", "in", "Wilmington", "NC", "this", "weekend" ]
[ 0, 0, 9, 10, 0, 0 ]
158,683
[ "car", "repair", "san", "tan", "valley" ]
[ 0, 0, 5, 6, 6 ]
232,119
[ "baklava", "Louisiana" ]
[ 0, 7 ]
53,531
[ "doctor", "East", "Hampton", "VA" ]
[ 0, 9, 10, 10 ]
339,554
[ "MT", "biryani" ]
[ 7, 0 ]
385,143
[ "pharmacies", "Metairie", ",", "LA" ]
[ 0, 9, 10, 10 ]
63,693
[ "upcoming", "events", "in", "rdu", "this", "weekend" ]
[ 0, 0, 0, 5, 0, 0 ]
138,796
[ "Does", "Gabriel", "Morris", "have", "a", "speech", "in", "Brooklyn", ",", "NY", "?" ]
[ 0, 1, 2, 0, 0, 0, 0, 9, 10, 10, 0 ]
221,742
[ "Best", "deals", "on", "budget", "travel", "in", "Jersey", "City", ",", "NJ" ]
[ 0, 0, 0, 0, 0, 0, 9, 10, 10, 10 ]
154,338
[ "top", "yelp", "reviews", "West", "Jorda" ]
[ 0, 0, 0, 5, 6 ]
257,145
[ "top", "yelp", "reviews", "gary" ]
[ 0, 0, 0, 5 ]
135,860
[ "salads", "Buena", "Park", ",", "CA" ]
[ 0, 9, 10, 10, 10 ]
175,997
[ "Does", "Megan", "Allen", "have", "a", "speech", "in", "West", "Raleigh", ",", "North", "Carolina", "?" ]
[ 0, 1, 2, 0, 0, 0, 0, 9, 10, 10, 10, 10, 0 ]
346,256
[ "sushi", "Apple", "Valley", ",", "CA" ]
[ 0, 9, 10, 10, 10 ]
19,727
[ "Naperville", "IL", "soups" ]
[ 9, 10, 0 ]
202,097
[ "pancakes", "Driftshade" ]
[ 0, 0 ]
68,164
[ "waffles", "in", "New", "York", "City" ]
[ 0, 0, 5, 6, 6 ]
107,992
[ "current", "weather", "Federal", "Wa" ]
[ 0, 0, 5, 6 ]
354,677
[ "events", "in", "Bowie", ",", "Maryland", "this", "weekend" ]
[ 0, 0, 9, 10, 10, 0, 0 ]
350,358
[ "Long", "Beach", ",", "CA", "salads" ]
[ 9, 10, 10, 10, 0 ]
31,386
[ "parks", "Burlington", ",", "NC" ]
[ 0, 9, 10, 10 ]
187,211
[ "pork", "ribs", "near", "me", "Brandon" ]
[ 0, 0, 0, 0, 5 ]
162,206
[ "hours", "of", "Washington", "Wizards", "Basketball", "Club", "in", "seattle" ]
[ 0, 0, 3, 4, 4, 4, 0, 5 ]
198,214
[ "Boulder", "CO", "pizza" ]
[ 9, 10, 0 ]
334,899
[ "weather", "forecast", "anchorage" ]
[ 0, 0, 5 ]
79,391
[ "top", "hotels", "in", "Bartlett", ",", "TN" ]
[ 0, 0, 0, 9, 10, 10 ]
373,158
[ "hiking", "trails", "Bend" ]
[ 0, 0, 5 ]
393,599
[ "home", "improvement", "Torrance" ]
[ 0, 0, 5 ]
246,108
[ "find", "top", "-", "rated", "hospitals", "in", "Rockville", ",", "Maryland" ]
[ 0, 0, 0, 0, 0, 0, 9, 10, 10 ]
438,979
[ "emergency", "services", "Pontiac" ]
[ 0, 0, 5 ]
379,651
[ "brownies", "in", "cmh" ]
[ 0, 0, 5 ]
140,582
[ "fondue", "maryvale" ]
[ 0, 5 ]
371,455
[ "doctor", "Rogers" ]
[ 0, 5 ]
40,031
[ "plumber", "Lakewood", ",", "Colorado" ]
[ 0, 9, 10, 10 ]
27,312
[ "best", "restaurants", "east", "independence" ]
[ 0, 0, 5, 6 ]
10,288
[ "Willowthorn", "salads" ]
[ 0, 0 ]
172,559
[ "does", "Salem", "Solar", "Energy", "Solutions", "offer", "roof", "repair", "in", "Houston", ",", "TX", "?" ]
[ 0, 3, 4, 4, 4, 0, 0, 0, 0, 9, 10, 10, 0 ]
357,726
[ "Where", "does", "Helen", "Mirren", "live", "?" ]
[ 0, 0, 1, 2, 0, 0 ]
14,039