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
[ "car", "repair", "Olathe" ]
[ 0, 0, 5 ]
228,263
[ "best", "beach", "in", "bwi" ]
[ 0, 0, 0, 5 ]
162,979
[ "fettuccine", "alfredo", "Ashspire" ]
[ 0, 0, 0 ]
26,930
[ "Top", "fried", "chicken", "restaurants", "in", "Manhattan", ",", "NY", "this", "weekend" ]
[ 0, 0, 0, 0, 0, 9, 10, 10, 0, 0 ]
415,979
[ "brunch", "Kendale", "Lakes", ",", "FL" ]
[ 0, 9, 10, 10, 10 ]
353,080
[ "cakes", "in", "Torrance" ]
[ 0, 0, 5 ]
335,189
[ "top", "-", "rated", "roof", "repair", "Oakland", "CA" ]
[ 0, 0, 0, 0, 0, 9, 10 ]
126,168
[ "hospital", "Borough", "Park", ",", "NY" ]
[ 0, 9, 10, 10, 10 ]
77,359
[ "Does", "Peyton", "Manning", "have", "a", "speech", "in", "Dallas", ",", "TX", "?" ]
[ 0, 1, 2, 0, 0, 0, 0, 9, 10, 10, 0 ]
384,821
[ "Yakima", ",", "WA", "cakes" ]
[ 9, 10, 10, 0 ]
223,443
[ "best", "pizza", "near", "Winston", "-", "Salem" ]
[ 0, 0, 0, 5, 6, 6 ]
60,111
[ "Hanford", ",", "California", "temperature" ]
[ 9, 10, 10, 0 ]
228,774
[ "does", "Hialeah", "Shipping", "and", "Logistics", "operate", "in", "Overland", "Park", ",", "Kansas", "?" ]
[ 0, 3, 4, 4, 4, 0, 0, 9, 10, 10, 10, 0 ]
363,653
[ "car", "repair", "South", "Peabody" ]
[ 0, 0, 5, 6 ]
296,739
[ "is", "Esther", "Duflo", "married", "?" ]
[ 0, 1, 2, 0, 0 ]
14,377
[ "Ann", "Arbor", "MI", "temperature" ]
[ 9, 10, 10, 0 ]
296,133
[ "OK", "baklava" ]
[ 7, 0 ]
79,180
[ "desserts", "Hawthorne", ",", "California" ]
[ 0, 9, 10, 10 ]
234,763
[ "pancakes", "Flower", "Mound" ]
[ 0, 5, 6 ]
447,758
[ "strudel", "FG" ]
[ 0, 0 ]
129,724
[ "does", "Jenna", "Ortega", "live", "in", "san", "marcos" ]
[ 0, 1, 2, 0, 0, 5, 6 ]
259,856
[ "lasagna", "in", "QQ" ]
[ 0, 0, 0 ]
409,038
[ "Alhambra", ",", "AZ", "temperature" ]
[ 9, 10, 10, 0 ]
154,017
[ "locations", "of", "BMW", "Group", "in", "NJ" ]
[ 0, 0, 3, 4, 0, 7 ]
294,533
[ "Is", "Angelina", "Jolie", "traveling", "to", "New", "Mexico", "next", "week", "?" ]
[ 0, 1, 2, 0, 0, 7, 8, 0, 0, 0 ]
212,763
[ "florist", "Rock", "Hill", ",", "South", "Carolina" ]
[ 0, 9, 10, 10, 10, 10 ]
292,400
[ "coffee", "near", "me", "troy" ]
[ 0, 0, 0, 5 ]
286,460
[ "gyros", "phx" ]
[ 0, 5 ]
272,908
[ "Where", "does", "Prince", "Harry", "live", "?" ]
[ 0, 0, 1, 2, 0, 0 ]
134,990
[ "physio", "therapy", "Queens", "Village" ]
[ 0, 0, 5, 6 ]
257,629
[ "Chesapeake", ",", "VA", "pasta" ]
[ 9, 10, 10, 0 ]
248,150
[ "plumber", "Arden", "-", "Arcade" ]
[ 0, 5, 6, 6 ]
78,438
[ "League", "City", ",", "TX", "fried", "chicken" ]
[ 9, 10, 10, 10, 0, 0 ]
222,968
[ "fettuccine", "alfredo", "in", "Zephyr", "Bay" ]
[ 0, 0, 0, 0, 0 ]
38,008
[ "ice", "cream", "Columbus", ",", "OH" ]
[ 0, 0, 9, 10, 10 ]
40,781
[ "cakes", "Allentown", ",", "PA" ]
[ 0, 9, 10, 10 ]
162,707
[ "fried", "rice", "in", "Idaho" ]
[ 0, 0, 0, 7 ]
397,033
[ "bagels", "in", "Windswept" ]
[ 0, 0, 0 ]
27,105
[ "doctor", "petaluma" ]
[ 0, 5 ]
212,820
[ "souvlaki", "Union" ]
[ 0, 5 ]
145,495
[ "desserts", "Rogers", "Park", "IL" ]
[ 0, 9, 10, 10 ]
265,112
[ "gyms", "in", "Maryvale" ]
[ 0, 0, 5 ]
273,913
[ "car", "repair", "Perris" ]
[ 0, 0, 5 ]
207,199
[ "best", "church", "in", "Denver" ]
[ 0, 0, 0, 5 ]
446,492
[ "Caldwell", ",", "ID", "desserts" ]
[ 9, 10, 10, 0 ]
315,193
[ "hiking", "trails", "daytona", "beach" ]
[ 0, 0, 5, 6 ]
420,761
[ "Wytherstone", "kebabs" ]
[ 0, 0 ]
302,881
[ "does", "University", "of", "Cambridge", "provide", "home", "repair", "services", "in", "Baldwin", "Park", "?" ]
[ 0, 3, 4, 4, 0, 0, 0, 0, 0, 5, 6, 0 ]
217,152
[ "pork", "ribs", "Starcrest" ]
[ 0, 0, 0 ]
271,007
[ "florist", "canarsie" ]
[ 0, 5 ]
263,470
[ "roof", "repair", "near", "battle", "creek" ]
[ 0, 0, 0, 5, 6 ]
317,008
[ "can", "I", "book", "a", "doctor", "appointment", "at", "Gilbert", "Transportation", "Group", "in", "New", "Jersey", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 3, 4, 4, 0, 7, 8, 0 ]
411,538
[ "does", "Google", "Inc", ".", "offer", "roof", "repair", "in", "Los", "Angeles", ",", "CA", "?" ]
[ 0, 3, 4, 4, 0, 0, 0, 0, 9, 10, 10, 10, 0 ]
226,695
[ "Downey", ",", "California", "seafood" ]
[ 9, 10, 10, 0 ]
323,101
[ "current", "weather", "hoboken" ]
[ 0, 0, 5 ]
331,011
[ "movie", "theaters", "las" ]
[ 0, 0, 5 ]
206,121
[ "pharmacies", "high", "point" ]
[ 0, 5, 6 ]
421,264
[ "does", "Olaf", "Scholz", "live", "in", "toledo" ]
[ 0, 1, 2, 0, 0, 5 ]
283,612
[ "Is", "Kevin", "Perry", "available", "for", "an", "appointment", "in", "ny", "?" ]
[ 0, 1, 2, 0, 0, 0, 0, 0, 5, 0 ]
178,720
[ "Google", "Inc", ".", "in", "Lexington", ",", "KY" ]
[ 3, 4, 4, 0, 9, 10, 10 ]
406,525
[ "Santa", "Fe", ",", "NM", "hamburgers" ]
[ 9, 10, 10, 10, 0 ]
152,663
[ "physio", "therapy", "Jackson", ",", "New", "Jersey" ]
[ 0, 0, 9, 10, 10, 10 ]
379,945
[ "contact", "Miami", "International", "Airport", "in", "Las", "Vegas" ]
[ 0, 3, 4, 4, 0, 5, 6 ]
83,531
[ "ice", "cream", "South", "Boston", ",", "Massachusetts" ]
[ 0, 0, 9, 10, 10, 10 ]
127,494
[ "fried", "chicken", "Arlington", ",", "Texas" ]
[ 0, 0, 9, 10, 10 ]
367,755
[ "Where", "to", "eat", "crepes", "in", "Poway", ",", "CA", "?" ]
[ 0, 0, 0, 0, 0, 9, 10, 10, 0 ]
404,498
[ "Crystalbourne", "miso", "soup" ]
[ 0, 0, 0 ]
134,626
[ "florist", "Kenner", "LA" ]
[ 0, 9, 10 ]
235,967
[ "banh", "mi", "NV" ]
[ 0, 0, 7 ]
434,022
[ "Does", "Emily", "Brooks", "have", "a", "speech", "in", "Glendale", ",", "AZ", "?" ]
[ 0, 1, 2, 0, 0, 0, 0, 9, 10, 10, 0 ]
100,358
[ "nearest", "branch", "of", "Mobile", "Public", "Library", "in", "Bridgeport" ]
[ 0, 0, 0, 3, 4, 4, 0, 5 ]
326,922
[ "what", "'", "s", "the", "weather", "forecast", "for", "cape", "coral", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 5, 6, 0 ]
196,519
[ "Is", "Bob", "Dylan", "traveling", "to", "Wisconsin", "next", "week", "?" ]
[ 0, 1, 2, 0, 0, 7, 0, 0, 0 ]
183,242
[ "pharmacies", "Davie" ]
[ 0, 5 ]
102,136
[ "Is", "Bryan", "Taylor", "traveling", "to", "ND", "next", "week", "?" ]
[ 0, 1, 2, 0, 0, 7, 0, 0, 0 ]
152,689
[ "Colorado", "Springs", "tikka", "masala" ]
[ 5, 6, 0, 0 ]
336,755
[ "home", "services", "Redondo", "Beac" ]
[ 0, 0, 5, 6 ]
146,393
[ "hours", "of", "Time", "Warner", "in", "Bossier", "City" ]
[ 0, 0, 3, 4, 0, 5, 6 ]
83,235
[ "can", "I", "book", "a", "doctor", "appointment", "at", "Cleveland", "Clinic", "in", "LA", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 3, 4, 0, 7, 0 ]
350,269
[ "who", "are", "the", "top", "doctors", "in", "Compton", ",", "CA", "?" ]
[ 0, 0, 0, 0, 0, 0, 9, 10, 10, 0 ]
168,887
[ "plumbing", "services", "in", "Lancaster", ",", "California" ]
[ 0, 0, 0, 9, 10, 10 ]
441,822
[ "Bellevue", ",", "NE", "ramen" ]
[ 9, 10, 10, 0 ]
138,409
[ "nurse", "Revere" ]
[ 0, 5 ]
2,934
[ "hours", "of", "JPMorgan", "Chase", "in", "Murfreesboro" ]
[ 0, 0, 3, 4, 0, 5 ]
53,578
[ "Atlanta", "GA", "pharmacies" ]
[ 9, 10, 0 ]
300,025
[ "Largo", ",", "FL", "fried", "chicken" ]
[ 9, 10, 10, 0, 0 ]
127,002
[ "Lexington", "-", "Fayette", ",", "Kentucky", "soups" ]
[ 9, 10, 10, 10, 10, 0 ]
407,621
[ "emergency", "services", "maryvale" ]
[ 0, 0, 5 ]
433,100
[ "doctor", "Florence", "-", "Graham", ",", "CA" ]
[ 0, 9, 10, 10, 10, 10 ]
169,038
[ "strudel", "in", "Santa", "Monica" ]
[ 0, 0, 5, 6 ]
362,780
[ "does", "Liv", "Tyler", "live", "in", "blaine" ]
[ 0, 1, 2, 0, 0, 5 ]
49,600
[ "sushi", "milford" ]
[ 0, 5 ]
54,053
[ "Zerith", "Hollow", "steak" ]
[ 0, 0, 0 ]
212,136
[ "Terre", "Haute", ",", "IN", "temperature" ]
[ 9, 10, 10, 10, 0 ]
228,862
[ "top", "-", "rated", "movie", "theaters", "in", "Terre", "Haute", ",", "IN" ]
[ 0, 0, 0, 0, 0, 0, 9, 10, 10, 10 ]
197,407
[ "Is", "Ian", "Sanders", "traveling", "to", "Oregon", "next", "week", "?" ]
[ 0, 1, 2, 0, 0, 7, 0, 0, 0 ]
438,306
[ "Vallejo", ",", "CA", "noodles" ]
[ 9, 10, 10, 0 ]
328,600
[ "real", "estate", "agents", "East", "Independence" ]
[ 0, 0, 0, 5, 6 ]
54,271
[ "parks", "Petaluma", ",", "CA" ]
[ 0, 9, 10, 10 ]
297,268
[ "does", "BMW", "Group", "operate", "in", "Albuquerque", "NM", "?" ]
[ 0, 3, 4, 0, 0, 9, 10, 0 ]
146,198