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
[ "plumber", "Frederick", ",", "MD" ]
[ 0, 9, 10, 10 ]
248,357
[ "Can", "I", "meet", "Megan", "Allen", "in", "Rio", "Rancho", ",", "NM", "?" ]
[ 0, 0, 0, 1, 2, 0, 9, 10, 10, 10, 0 ]
294,010
[ "PT", "soups" ]
[ 0, 0 ]
281,144
[ "top", "hotels", "in", "sna" ]
[ 0, 0, 0, 5 ]
80,716
[ "CO", "milkshakes" ]
[ 7, 0 ]
422,070
[ "Iowa", "mac", "and", "cheese" ]
[ 7, 0, 0, 0 ]
163,069
[ "breakfast", "near", "me", "Cupertino" ]
[ 0, 0, 0, 5 ]
358,988
[ "Is", "Jake", "Thompson", "traveling", "to", "Ohio", "next", "week", "?" ]
[ 0, 1, 2, 0, 0, 7, 0, 0, 0 ]
412,412
[ "Affordable", "brunch", "spots", "in", "Sterling", "Heights", ",", "MI" ]
[ 0, 0, 0, 0, 9, 10, 10, 10 ]
372,823
[ "Where", "to", "eat", "barbecue", "in", "New", "York", "City", ",", "NY", "?" ]
[ 0, 0, 0, 0, 0, 9, 10, 10, 10, 10, 0 ]
180,576
[ "does", "Springfield", "Realty", "Group", "operate", "in", "Sugar", "Land", ",", "TX", "?" ]
[ 0, 3, 4, 4, 0, 0, 9, 10, 10, 10, 0 ]
280,486
[ "contact", "Nashville", "Business", "Enterprises", "in", "Henderson" ]
[ 0, 3, 4, 4, 0, 5 ]
341,805
[ "lawyers", "in", "Bellevue", ",", "WA" ]
[ 0, 0, 9, 10, 10 ]
206,401
[ "plumber", "Des", "Moines", ",", "Iowa" ]
[ 0, 9, 10, 10, 10 ]
253,181
[ "florist", "Woodland", "Hills" ]
[ 0, 5, 6 ]
336,203
[ "does", "Melissa", "McCarthy", "live", "in", "Bensonhurst" ]
[ 0, 1, 2, 0, 0, 5 ]
403,891
[ "brownies", "in", "Verdantia" ]
[ 0, 0, 0 ]
360,371
[ "vegan", "food", "Pinecairn" ]
[ 0, 0, 0 ]
65,453
[ "cakes", "Wytherstone" ]
[ 0, 0 ]
438,800
[ "electrician", "north", "little", "rock" ]
[ 0, 5, 6, 6 ]
437,933
[ "brunch", "Dallas", ",", "Texas" ]
[ 0, 9, 10, 10 ]
85,848
[ "best", "pizza", "near", "Readin" ]
[ 0, 0, 0, 5 ]
192,095
[ "onigiri", "District", "of", "Columbia" ]
[ 0, 7, 8, 8 ]
414,511
[ "best", "cafes", "in", "Casa", "Grande" ]
[ 0, 0, 0, 5, 6 ]
255,600
[ "roof", "repair", "near", "Fairfield" ]
[ 0, 0, 0, 5 ]
138,671
[ "XL", "tamales" ]
[ 0, 0 ]
430,149
[ "Where", "to", "find", "the", "best", "pancakes", "in", "Lewisville", ",", "TX", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 9, 10, 10, 0 ]
446,307
[ "burgers", "Cambridge", ",", "MA" ]
[ 0, 9, 10, 10 ]
218,407
[ "nurse", "Santa", "Clara" ]
[ 0, 5, 6 ]
181,609
[ "coffee", "ME" ]
[ 0, 7 ]
221,896
[ "guacamole", "FL" ]
[ 0, 7 ]
70,922
[ "Irvington", "NJ", "pizza" ]
[ 9, 10, 0 ]
416,964
[ "does", "Des", "Moines", "Public", "Library", "operate", "in", "Amarillo", ",", "Texas", "?" ]
[ 0, 3, 4, 4, 4, 0, 0, 9, 10, 10, 0 ]
186,055
[ "Pasadena", ",", "CA", "burgers" ]
[ 9, 10, 10, 0 ]
172,521
[ "Quillhaven", "soups" ]
[ 0, 0 ]
421,361
[ "Top", "destinations", "for", "ski", "trips", "in", "New", "York", "City", ",", "NY" ]
[ 0, 0, 0, 0, 0, 0, 9, 10, 10, 10, 10 ]
33,453
[ "sandwiches", "Koreatown", ",", "California" ]
[ 0, 9, 10, 10 ]
419,229
[ "Best", "buffet", "restaurants", "in", "Oak", "Lawn", ",", "IL" ]
[ 0, 0, 0, 0, 9, 10, 10, 10 ]
169,650
[ "roof", "repair", "gxy" ]
[ 0, 0, 5 ]
347,964
[ "french", "fries", "JT" ]
[ 0, 0, 0 ]
414,667
[ "hospital", "virginia", "beach" ]
[ 0, 5, 6 ]
335,547
[ "best", "restaurants", "in", "Casa", "Grande", "AZ" ]
[ 0, 0, 0, 9, 10, 10 ]
98,997
[ "Is", "Aaron", "Cook", "traveling", "to", "MD", "next", "week", "?" ]
[ 0, 1, 2, 0, 0, 7, 0, 0, 0 ]
293,068
[ "lasagna", "in", "Missouri" ]
[ 0, 0, 7 ]
341,610
[ "nurse", "Methuen" ]
[ 0, 5 ]
218,497
[ "East", "Harlem", ",", "New", "York", "steak" ]
[ 9, 10, 10, 10, 10, 0 ]
48,347
[ "Cleveland", ",", "OH", "hamburgers" ]
[ 9, 10, 10, 0 ]
44,112
[ "cheesecake", "near", "me", "ny" ]
[ 0, 0, 0, 5 ]
216,699
[ "sushi", "Arden", "-", "Arcade", "CA" ]
[ 0, 9, 10, 10, 10 ]
306,790
[ "movie", "theaters", "Clifton", ",", "New", "Jersey" ]
[ 0, 0, 9, 10, 10, 10 ]
429,789
[ "pharmacies", "madison" ]
[ 0, 5 ]
285,821
[ "Is", "Celine", "Dion", "available", "for", "an", "appointment", "in", "San", "Jose", "?" ]
[ 0, 1, 2, 0, 0, 0, 0, 0, 5, 6, 0 ]
277,520
[ "Is", "Tiger", "Woods", "available", "for", "an", "appointment", "in", "newark", "?" ]
[ 0, 1, 2, 0, 0, 0, 0, 0, 5, 0 ]
61,604
[ "events", "in", "fresno", "this", "weekend" ]
[ 0, 0, 5, 0, 0 ]
64,302
[ "smoothies", "in", "DF" ]
[ 0, 0, 0 ]
134,741
[ "Is", "Galileo", "Galilei", "traveling", "to", "Colorado", "next", "week", "?" ]
[ 0, 1, 2, 0, 0, 7, 0, 0, 0 ]
259,504
[ "plumber", "Maple", "Grove", ",", "MN" ]
[ 0, 9, 10, 10, 10 ]
6,936
[ "roof", "repair", "largo" ]
[ 0, 0, 5 ]
320,912
[ "Affordable", "steakhouses", "in", "Meads", "KY" ]
[ 0, 0, 0, 9, 10 ]
188,435
[ "galbi", "Hoffman", "Estates" ]
[ 0, 5, 6 ]
180,578
[ "restaurants", "near", "me", "seattle" ]
[ 0, 0, 0, 5 ]
205,486
[ "Orlando", "FL", "ramen" ]
[ 9, 10, 0 ]
113,952
[ "salads", "Cleveland", "OH" ]
[ 0, 9, 10 ]
228,222
[ "Edmond", "OK", "salads" ]
[ 9, 10, 0 ]
15,952
[ "JR", "quesadillas" ]
[ 0, 0 ]
391,064
[ "kimchi", "in", "Golden", "City" ]
[ 0, 0, 0, 0 ]
422,084
[ "movie", "theaters", "Upland", ",", "CA" ]
[ 0, 0, 9, 10, 10 ]
319,771
[ "Medford", ",", "MA", "pharmacies" ]
[ 9, 10, 10, 0 ]
184,297
[ "Ravenshire", "salads" ]
[ 0, 0 ]
219,666
[ "find", "top", "-", "rated", "hospitals", "in", "Newport", "Beach", ",", "CA" ]
[ 0, 0, 0, 0, 0, 0, 9, 10, 10, 10 ]
30,255
[ "ramen", "Stamford", ",", "CT" ]
[ 0, 9, 10, 10 ]
129,775
[ "Popular", "hummus", "places", "in", "Loveland", ",", "CO" ]
[ 0, 0, 0, 0, 9, 10, 10 ]
320,337
[ "locations", "of", "Flint", "Institute", "of", "Arts", "in", "NJ" ]
[ 0, 0, 3, 4, 4, 4, 0, 7 ]
283,660
[ "Meridian", "ID", "temperature" ]
[ 9, 10, 0 ]
240,901
[ "cakes", "Jackson", "Heights", ",", "NY" ]
[ 0, 9, 10, 10, 10 ]
123,142
[ "does", "Portland", "Health", "Services", "provide", "home", "repair", "services", "in", "Manhattan", "?" ]
[ 0, 3, 4, 4, 0, 0, 0, 0, 0, 5, 0 ]
305,133
[ "best", "forest", "in", "Beaumont" ]
[ 0, 0, 0, 5 ]
94,834
[ "fried", "chicken", "Frisco", ",", "Texas" ]
[ 0, 0, 9, 10, 10 ]
257,195
[ "plumbing", "services", "in", "Loveland", "CO" ]
[ 0, 0, 0, 9, 10 ]
199,544
[ "hours", "of", "Shell", "Oil", "Company", "in", "gresham" ]
[ 0, 0, 3, 4, 4, 0, 5 ]
387,584
[ "hiking", "trails", "Hoffman", "Estates" ]
[ 0, 0, 5, 6 ]
325,388
[ "New", "Braunfels", "TX", "parks" ]
[ 9, 10, 10, 0 ]
428,224
[ "sandwiches", "Rockville", "MD" ]
[ 0, 9, 10 ]
400,832
[ "plumbing", "services", "in", "Jonesboro", "AR" ]
[ 0, 0, 0, 9, 10 ]
231,356
[ "weather", "forecast", "for", "ironville", "this", "weekend" ]
[ 0, 0, 0, 5, 0, 0 ]
217,100
[ "strudel", "near", "me", "Grand", "Junction" ]
[ 0, 0, 0, 5, 6 ]
34,491
[ "emergency", "services", "billings" ]
[ 0, 0, 5 ]
360,982
[ "What", "are", "the", "most", "famous", "vegan", "restaurants", "in", "Baton", "Rouge", "LA", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 0, 9, 10, 10, 0 ]
89,018
[ "does", "Columbia", "University", "Medical", "Center", "operate", "in", "McKinney", ",", "TX", "?" ]
[ 0, 3, 4, 4, 4, 0, 0, 9, 10, 10, 0 ]
406,568
[ "St", ".", "Louis", "Cardinals", "Baseball", "Team", "in", "Oklahoma", "City", ",", "OK" ]
[ 3, 4, 4, 4, 4, 4, 0, 9, 10, 10, 10 ]
130,859
[ "best", "cafes", "Warren", ",", "Michigan" ]
[ 0, 0, 9, 10, 10 ]
338,266
[ "La", "Habra", ",", "CA", "parks" ]
[ 9, 10, 10, 10, 0 ]
7,722
[ "bibimbap", "in", "Eaglebrooke" ]
[ 0, 0, 0 ]
446,114
[ "Bismarck", "ND", "brunch" ]
[ 9, 10, 0 ]
251,270
[ "hospital", "Fairfield", ",", "CT" ]
[ 0, 9, 10, 10 ]
153,468
[ "physio", "therapy", "Brooklyn", "Park", ",", "MN" ]
[ 0, 0, 9, 10, 10, 10 ]
196,797
[ "Can", "I", "meet", "Austin", "Hernandez", "in", "Denver", ",", "CO", "?" ]
[ 0, 0, 0, 1, 2, 0, 9, 10, 10, 0 ]
225,615
[ "weather", "Elmhurst", ",", "New", "York" ]
[ 0, 9, 10, 10, 10 ]
262,717
[ "sushi", "Silver", "Spring", ",", "Maryland" ]
[ 0, 9, 10, 10, 10 ]
37,135
[ "pierogi", "ND" ]
[ 0, 7 ]
325,241