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
[ "clam", "chowder", "near", "me", "Moreno", "Valley" ]
[ 0, 0, 0, 0, 5, 6 ]
306,800
[ "Popular", "dim", "sum", "places", "in", "Tacoma", ",", "WA" ]
[ 0, 0, 0, 0, 0, 9, 10, 10 ]
438,972
[ "movie", "theaters", "Roseville", "CA" ]
[ 0, 0, 9, 10 ]
426,308
[ "malai", "kofta", "in", "allentown" ]
[ 0, 0, 0, 5 ]
55,145
[ "burgers", "Amberreach" ]
[ 0, 0 ]
73,345
[ "South", "Gate", "CA", "sandwiches" ]
[ 9, 10, 10, 0 ]
369,967
[ "Atascocita", ",", "Texas", "breakfast", "food" ]
[ 9, 10, 10, 0, 0 ]
408,388
[ "Does", "Ringo", "Starr", "have", "a", "speech", "in", "New", "York", "City", ",", "NY", "?" ]
[ 0, 1, 2, 0, 0, 0, 0, 9, 10, 10, 10, 10, 0 ]
163,811
[ "best", "cafes", "in", "lynwood" ]
[ 0, 0, 0, 5 ]
119,747
[ "calamari", "in", "Gilded", "Vale" ]
[ 0, 0, 0, 0 ]
319,690
[ "gyms", "in", "Syracuse" ]
[ 0, 0, 5 ]
194,633
[ "noodles", "Iowa", "City", ",", "Iowa" ]
[ 0, 9, 10, 10, 10 ]
17,988
[ "hiking", "trails", "yonkers" ]
[ 0, 0, 5 ]
148,167
[ "parks", "Arlington", "TX" ]
[ 0, 9, 10 ]
172,818
[ "does", "San", "Diego", "Software", "Innovations", "operate", "in", "San", "Antonio", ",", "TX", "?" ]
[ 0, 3, 4, 4, 4, 0, 0, 9, 10, 10, 10, 0 ]
310,373
[ "la", "ramen" ]
[ 5, 0 ]
366,195
[ "emergency", "services", "Alhambra" ]
[ 0, 0, 5 ]
15,832
[ "speec", "in", "Olympia" ]
[ 0, 0, 5 ]
393,791
[ "What", "are", "the", "most", "famous", "food", "trucks", "in", "Chinatown", ",", "CA", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 0, 9, 10, 10, 0 ]
88,095
[ "pad", "thai", "MT" ]
[ 0, 0, 7 ]
35,914
[ "Duluth", "MN", "pizza" ]
[ 9, 10, 0 ]
311,171
[ "noodles", "Simi", "Valley", ",", "CA" ]
[ 0, 9, 10, 10, 10 ]
75,728
[ "Springdale", ",", "AR", "soups" ]
[ 9, 10, 10, 0 ]
265,177
[ "weather", "forecast", "cle" ]
[ 0, 0, 5 ]
126,215
[ "weather", "Stockton", ",", "California" ]
[ 0, 9, 10, 10 ]
9,384
[ "brownies", "WA" ]
[ 0, 7 ]
254,403
[ "pharmacies", "tracy" ]
[ 0, 5 ]
286,247
[ "top", "-", "rated", "roof", "repair", "Oakland", ",", "California" ]
[ 0, 0, 0, 0, 0, 9, 10, 10 ]
92,451
[ "best", "cathedra", "in", "topeka" ]
[ 0, 0, 0, 5 ]
86,654
[ "dim", "sum", "in", "Obelisk", "Point" ]
[ 0, 0, 0, 0, 0 ]
310,117
[ "Where", "to", "eat", "chimichurri", "steak", "in", "Seattle", "WA", "?" ]
[ 0, 0, 0, 0, 0, 0, 9, 10, 0 ]
47,703
[ "Berwyn", ",", "Illinois", "sushi" ]
[ 9, 10, 10, 0 ]
198,553
[ "pork", "ribs", "lbb" ]
[ 0, 0, 5 ]
169,142
[ "hours", "of", "Tucson", "Data", "Science", "Center", "in", "West", "Valley", "City" ]
[ 0, 0, 3, 4, 4, 4, 0, 5, 6, 6 ]
183,312
[ "movie", "theaters", "Gravesend", "NY" ]
[ 0, 0, 9, 10 ]
146,156
[ "Does", "Justin", "Trudeau", "have", "a", "speech", "in", "Queens", ",", "NY", "?" ]
[ 0, 1, 2, 0, 0, 0, 0, 9, 10, 10, 0 ]
165,625
[ "doctor", "Baltimore", ",", "Maryland" ]
[ 0, 9, 10, 10 ]
107,827
[ "ramen", "tus" ]
[ 0, 5 ]
77,808
[ "barbecue", "in", "Austin" ]
[ 0, 0, 5 ]
437,384
[ "noodles", "Rancho", "Cucamonga", "CA" ]
[ 0, 9, 10, 10 ]
397,860
[ "top", "-", "rated", "movie", "theaters", "in", "Costa", "Mesa", ",", "CA" ]
[ 0, 0, 0, 0, 0, 0, 9, 10, 10, 10 ]
334,749
[ "What", "are", "the", "most", "famous", "gastropubs", "in", "New", "York", "City", "NY", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 9, 10, 10, 10, 0 ]
46,457
[ "electrician", "Concor" ]
[ 0, 5 ]
224,439
[ "Port", "Charlotte", ",", "FL", "fried", "chicken" ]
[ 9, 10, 10, 10, 0, 0 ]
138,429
[ "physio", "therapy", "Largo" ]
[ 0, 0, 5 ]
373,849
[ "movie", "theaters", "Bowie", ",", "MD" ]
[ 0, 0, 9, 10, 10 ]
213,610
[ "hiking", "trails", "cpr" ]
[ 0, 0, 5 ]
373,111
[ "noodles", "Bensalem", "PA" ]
[ 0, 9, 10 ]
174,955
[ "barbecue", "in", "XW" ]
[ 0, 0, 0 ]
102,344
[ "contact", "Knoxville", "Symphony", "Orchestra", "in", "New", "York", "City" ]
[ 0, 3, 4, 4, 0, 5, 6, 6 ]
366,596
[ "El", "Cajon", ",", "CA", "sandwiches" ]
[ 9, 10, 10, 10, 0 ]
133,151
[ "fried", "chicken", "Elmhurst", ",", "NY" ]
[ 0, 0, 9, 10, 10 ]
98,482
[ "Indianapolis", ",", "Indiana", "sandwiches" ]
[ 9, 10, 10, 0 ]
45,043
[ "boi", "guacamole" ]
[ 5, 0 ]
370,659
[ "Pine", "City", "laksa" ]
[ 0, 0, 0 ]
211,178
[ "car", "repair", "Irving", ",", "TX" ]
[ 0, 0, 9, 10, 10 ]
133,834
[ "best", "cafes", "in", "O", "'", "Fallon", ",", "Missouri" ]
[ 0, 0, 0, 9, 10, 10, 10, 10 ]
160,990
[ "Cranston", "RI", "ice", "cream" ]
[ 9, 10, 0, 0 ]
262,520
[ "find", "top", "-", "rated", "hospitals", "in", "Irving", ",", "Texas" ]
[ 0, 0, 0, 0, 0, 0, 9, 10, 10 ]
40,897
[ "best", "restaurants", "Palm", "Desert" ]
[ 0, 0, 5, 6 ]
265,331
[ "pharmacies", "Blue", "Springs", ",", "MO" ]
[ 0, 9, 10, 10, 10 ]
90,755
[ "best", "rated", "Time", "Warner", "in", "San", "Francisco", ",", "CA" ]
[ 0, 0, 3, 4, 0, 9, 10, 10, 10 ]
57,309
[ "soups", "Edina", ",", "Minnesota" ]
[ 0, 9, 10, 10 ]
346,633
[ "Can", "I", "meet", "Rafael", "Nadal", "in", "San", "Jose", ",", "California", "?" ]
[ 0, 0, 0, 1, 2, 0, 9, 10, 10, 10, 0 ]
157,837
[ "home", "services", "Johns", "Cree" ]
[ 0, 0, 5, 6 ]
343,432
[ "Briarwood", ",", "NY", "ramen" ]
[ 9, 10, 10, 0 ]
25,972
[ "weather", "Saint", "Paul", ",", "Minnesota" ]
[ 0, 9, 10, 10, 10 ]
218,418
[ "Can", "I", "meet", "Yuri", "Gagarin", "in", "New", "York", "City", ",", "New", "York", "?" ]
[ 0, 0, 0, 1, 2, 0, 9, 10, 10, 10, 10, 10, 0 ]
245,950
[ "Affordable", "buffet", "restaurants", "in", "Orlando", ",", "Florida" ]
[ 0, 0, 0, 0, 9, 10, 10 ]
165,360
[ "real", "estate", "agents", "Weston" ]
[ 0, 0, 0, 5 ]
39,374
[ "hours", "of", "Mesa", "Auto", "Parts", "in", "lax" ]
[ 0, 0, 3, 4, 4, 0, 5 ]
158,687
[ "snookie" ]
[ 0 ]
1,040
[ "events", "in", "Hesperia", "this", "weekend" ]
[ 0, 0, 5, 0, 0 ]
126,703
[ "Chinatown", ",", "NY", "cakes" ]
[ 9, 10, 10, 0 ]
168,511
[ "Where", "to", "find", "the", "best", "dim", "sum", "in", "San", "Francisco", "CA", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 0, 9, 10, 10, 0 ]
343,295
[ "top", "hotels", "in", "Monterey", "Park" ]
[ 0, 0, 0, 5, 6 ]
107,404
[ "tacos", "Grapevine", "TX" ]
[ 0, 9, 10 ]
389,818
[ "hours", "of", "NASA", "in", "Valenci" ]
[ 0, 0, 3, 0, 5 ]
118,595
[ "home", "services", "Flagami" ]
[ 0, 0, 5 ]
311,193
[ "does", "Austin", "Engineering", "Solutions", "provide", "home", "repair", "services", "in", "north", "las", "vegas", "?" ]
[ 0, 3, 4, 4, 0, 0, 0, 0, 0, 5, 6, 6, 0 ]
182,998
[ "Anchorage", "Energy", "Solutions", "in", "Jersey", "City", ",", "New", "Jersey" ]
[ 3, 4, 4, 0, 9, 10, 10, 10, 10 ]
265,835
[ "yakitori", "Brightmere" ]
[ 0, 0 ]
443,687
[ "unclear" ]
[ 0 ]
1,567
[ "movie", "theaters", "Suffol" ]
[ 0, 0, 5 ]
304,912
[ "florist", "Brookhaven", ",", "GA" ]
[ 0, 9, 10, 10 ]
422,718
[ "Where", "to", "eat", "pierogi", "in", "Baltimore", ",", "MD", "?" ]
[ 0, 0, 0, 0, 0, 9, 10, 10, 0 ]
95,561
[ "hospital", "Cheektowaga", ",", "NY" ]
[ 0, 9, 10, 10 ]
23,195
[ "pharmacies", "Sacramento", ",", "California" ]
[ 0, 9, 10, 10 ]
203,192
[ "roof", "repair", "specialists", "in", "uptown" ]
[ 0, 0, 0, 0, 5 ]
297,812
[ "samosa", "in", "Eugene" ]
[ 0, 0, 5 ]
314,899
[ "seafood", "Lynchburg", ",", "VA" ]
[ 0, 9, 10, 10 ]
122,438
[ "salads", "Palm", "Bay", ",", "FL" ]
[ 0, 9, 10, 10, 10 ]
123,024
[ "Is", "John", "Smith", "available", "for", "an", "appointment", "in", "Oklahoma", "City", "?" ]
[ 0, 1, 2, 0, 0, 0, 0, 0, 5, 6, 0 ]
352,479
[ "Pomona", ",", "California", "brunch" ]
[ 9, 10, 10, 0 ]
31,820
[ "florist", "South", "Ozone", "Park", ",", "NY" ]
[ 0, 9, 10, 10, 10, 10 ]
167,433
[ "does", "Dwayne", "Johnson", "live", "in", "Phoenix" ]
[ 0, 1, 2, 0, 0, 5 ]
385,971
[ "what", "'", "s", "the", "weather", "forecast", "for", "Amherst", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 5, 0 ]
58,447
[ "upcoming", "events", "in", "Pflugerville", "this", "weekend" ]
[ 0, 0, 0, 5, 0, 0 ]
79,691
[ "does", "Reno", "Venture", "Capitalists", "offer", "roof", "repair", "in", "Chino", ",", "CA", "?" ]
[ 0, 3, 4, 4, 0, 0, 0, 0, 9, 10, 10, 0 ]
380,871
[ "vegan", "food", "Baldwin", "Park", ",", "CA" ]
[ 0, 0, 9, 10, 10, 10 ]
156,294