Datasets:
Mozilla
/
smart_ner_dataset

Dataset card Data Studio Files Community
2
tokens
listlengths
1
19
ner_tags
listlengths
1
19
id
int64
0
450k
[ "What", "are", "LeBron", "James", "'", "s", "upcoming", "projects", "?" ]
[ 0, 0, 1, 2, 0, 0, 0, 0, 0 ]
40,197
[ "vegan", "food", "Grand", "Prairie", "TX" ]
[ 0, 0, 9, 10, 10 ]
304,214
[ "stuffed", "crust", "pizza", "in", "Silverbrook" ]
[ 0, 0, 0, 0, 0 ]
163,399
[ "Bellingham", "WA", "salads" ]
[ 9, 10, 0 ]
173,824
[ "LV", "barbecue" ]
[ 0, 0 ]
324,968
[ "Irvine", "Company", "reviews", "in", "RI" ]
[ 3, 4, 0, 0, 7 ]
273,334
[ "fried", "chicken", "Perris", ",", "CA" ]
[ 0, 0, 9, 10, 10 ]
279,713
[ "Where", "to", "find", "the", "best", "dim", "sum", "in", "Daly", "City", ",", "CA", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 0, 9, 10, 10, 10, 0 ]
362,455
[ "North", "Hills", ",", "California", "salads" ]
[ 9, 10, 10, 10, 0 ]
393,409
[ "does", "Baton", "Rouge", "Community", "College", "operate", "in", "Houston", "TX", "?" ]
[ 0, 3, 4, 4, 4, 0, 0, 9, 10, 0 ]
439,787
[ "locations", "of", "Ernst", "&", "Young", "in", "District", "of", "Columbia" ]
[ 0, 0, 3, 4, 4, 0, 7, 8, 8 ]
11,093
[ "Amarill", "temperature" ]
[ 5, 0 ]
270,914
[ "brunch", "Wayne", ",", "New", "Jersey" ]
[ 0, 9, 10, 10, 10 ]
30,795
[ "locations", "of", "Volkswagen", "Group", "in", "PA" ]
[ 0, 0, 3, 4, 0, 7 ]
230,147
[ "find", "hiking", "trails", "in", "Hemet", "CA" ]
[ 0, 0, 0, 0, 9, 10 ]
424,475
[ "does", "Springfield", "Realty", "Group", "provide", "home", "repair", "services", "in", "east", "norwalk", "?" ]
[ 0, 3, 4, 4, 0, 0, 0, 0, 0, 5, 6, 0 ]
436,571
[ "salads", "Buffalo", ",", "NY" ]
[ 0, 9, 10, 10 ]
148,934
[ "ny", "donuts" ]
[ 5, 0 ]
149,302
[ "emergency", "services", "San", "Francisco" ]
[ 0, 0, 5, 6 ]
28,803
[ "Does", "Sarah", "Campbell", "have", "a", "speech", "in", "Raleigh", ",", "NC", "?" ]
[ 0, 1, 2, 0, 0, 0, 0, 9, 10, 10, 0 ]
340,146
[ "hiking", "trails", "Provo", ",", "UT" ]
[ 0, 0, 9, 10, 10 ]
96,019
[ "Olathe", ",", "Kansas", "steak" ]
[ 9, 10, 10, 0 ]
239,141
[ "best", "restaurants", "in", "Royal", "Oak", ",", "MI" ]
[ 0, 0, 0, 9, 10, 10, 10 ]
352,050
[ "home", "improvement", "Casper" ]
[ 0, 0, 5 ]
145,639
[ "XL", "gyros" ]
[ 0, 0 ]
213,397
[ "best", "rated", "Stanford", "University", "in", "Fairfield", ",", "CA" ]
[ 0, 0, 3, 4, 0, 9, 10, 10 ]
449,356
[ "movie", "theaters", "Milford", ",", "CT" ]
[ 0, 0, 9, 10, 10 ]
127,795
[ "ramen", "florissant" ]
[ 0, 5 ]
288,793
[ "Fairfield", "CT", "pharmacies" ]
[ 9, 10, 0 ]
311,822
[ "places", "to", "visit", "in", "Stonecres" ]
[ 0, 0, 0, 0, 5 ]
326,190
[ "pizza", "cpm" ]
[ 0, 5 ]
333,997
[ "noodles", "Huntsville", ",", "AL" ]
[ 0, 9, 10, 10 ]
110,155
[ "movie", "theaters", "territory", "of", "columbia" ]
[ 0, 0, 5, 6, 6 ]
137,653
[ "chili", "in", "MQ" ]
[ 0, 0, 0 ]
223,563
[ "clam", "chowder", "in", "borough", "of", "queens" ]
[ 0, 0, 0, 5, 6, 6 ]
230,823
[ "gyms", "in", "vct" ]
[ 0, 0, 5 ]
32,174
[ "breakfast", "food", "Lexington", "-", "Fayette", ",", "KY" ]
[ 0, 0, 9, 10, 10, 10, 10 ]
59,871
[ "events", "in", "East", "Los", "Angele", "this", "weekend" ]
[ 0, 0, 5, 6, 6, 0, 0 ]
312,023
[ "Best", "deals", "on", "ski", "trips", "in", "Minneapolis", "MN" ]
[ 0, 0, 0, 0, 0, 0, 9, 10 ]
271,312
[ "Tulsa", "OK", "fried", "chicken" ]
[ 9, 10, 0, 0 ]
91,170
[ "plumbing", "services", "in", "Aurora", ",", "Colorado" ]
[ 0, 0, 0, 9, 10, 10 ]
46,403
[ "desserts", "Lakewood", ",", "Colorado" ]
[ 0, 9, 10, 10 ]
227,208
[ "Where", "to", "eat", "pasta", "in", "Camden", "NJ", "?" ]
[ 0, 0, 0, 0, 0, 9, 10, 0 ]
347,580
[ "calamari", "in", "Anderson" ]
[ 0, 0, 5 ]
400,584
[ "gnocchi", "Solace", "Grove" ]
[ 0, 0, 0 ]
72,692
[ "nachos", "in", "Brightwatch" ]
[ 0, 0, 0 ]
278,432
[ "Top", "-", "rated", "fast", "food", "chains", "in", "Denver", ",", "Colorado" ]
[ 0, 0, 0, 0, 0, 0, 0, 9, 10, 10 ]
401,067
[ "best", "restaurants", "in", "South", "Bend", ",", "IN" ]
[ 0, 0, 0, 9, 10, 10, 10 ]
436,162
[ "physio", "therapy", "Concord", ",", "CA" ]
[ 0, 0, 9, 10, 10 ]
44,900
[ "Velvet", "Ridge", "burritos" ]
[ 0, 0, 0 ]
320,787
[ "nachos", "Xantria" ]
[ 0, 0 ]
181,572
[ "Where", "to", "find", "the", "best", "ramen", "in", "Huntersville", ",", "NC", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 9, 10, 10, 0 ]
49,812
[ "roof", "repair", "specialists", "in", "denton" ]
[ 0, 0, 0, 0, 5 ]
358,142
[ "Appleton", ",", "Wisconsin", "brunch" ]
[ 9, 10, 10, 0 ]
422,381
[ "Amazon", ".", "com", "reviews", "in", "VA" ]
[ 3, 4, 4, 0, 0, 7 ]
327,231
[ "restaurants", "near", "Missoula", "with", "good", "reviews" ]
[ 0, 0, 5, 0, 0, 0 ]
328,458
[ "sushi", "North", "Las", "Vegas", ",", "NV" ]
[ 0, 9, 10, 10, 10, 10 ]
185,378
[ "Is", "Joe", "Biden", "traveling", "to", "Florida", "next", "week", "?" ]
[ 0, 1, 2, 0, 0, 7, 0, 0, 0 ]
9,885
[ "Top", "destinations", "for", "hotels", "in", "Hillsboro", ",", "Oregon" ]
[ 0, 0, 0, 0, 0, 9, 10, 10 ]
51,631
[ "pasta", "Seattle", ",", "Washington" ]
[ 0, 9, 10, 10 ]
97,136
[ "soups", "in", "FN" ]
[ 0, 0, 0 ]
74,813
[ "Howard", "Schultz", "age" ]
[ 1, 2, 0 ]
35,292
[ "spring", "rolls", "Dovewood", "Point" ]
[ 0, 0, 0, 0 ]
285,711
[ "florist", "Minneapolis", ",", "MN" ]
[ 0, 9, 10, 10 ]
333,054
[ "Virginia", "bao", "buns" ]
[ 7, 0, 0 ]
117,886
[ "Snowpoint", "burritos" ]
[ 0, 0 ]
63,095
[ "does", "San", "Diego", "Zoo", "provide", "home", "repair", "services", "in", "Charlotte", "?" ]
[ 0, 3, 4, 4, 0, 0, 0, 0, 0, 5, 0 ]
389,032
[ "Bloomington", ",", "Indiana", "steak" ]
[ 9, 10, 10, 0 ]
317,013
[ "Is", "Galileo", "Galilei", "available", "for", "an", "appointment", "in", "la", "?" ]
[ 0, 1, 2, 0, 0, 0, 0, 0, 5, 0 ]
351,853
[ "Top", "empanadas", "restaurants", "in", "Medford", ",", "Oregon", "this", "weekend" ]
[ 0, 0, 0, 0, 9, 10, 10, 0, 0 ]
368,252
[ "stuffed", "crust", "pizza", "near", "me", "ana" ]
[ 0, 0, 0, 0, 0, 5 ]
343,912
[ "doctor", "Brookline" ]
[ 0, 5 ]
276,993
[ "does", "Philadelphia", "Law", "Firm", "offer", "roof", "repair", "in", "Dale", "City", "VA", "?" ]
[ 0, 3, 4, 4, 0, 0, 0, 0, 9, 10, 10, 0 ]
390,919
[ "french", "fries", "Kentucky" ]
[ 0, 0, 7 ]
181,211
[ "pasta", "Great", "Falls", ",", "MT" ]
[ 0, 9, 10, 10, 10 ]
270,403
[ "hiking", "trails", "Appleton", ",", "Wisconsin" ]
[ 0, 0, 9, 10, 10 ]
163,834
[ "Upland", ",", "CA", "fried", "chicken" ]
[ 9, 10, 10, 0, 0 ]
202,435
[ "Carmichael", ",", "California", "hamburgers" ]
[ 9, 10, 10, 0 ]
229,416
[ "Decatur", "AL", "movie", "theaters" ]
[ 9, 10, 0, 0 ]
125,149
[ "does", "Mobile", "Business", "Solutions", "provide", "home", "repair", "services", "in", "Chicago", "?" ]
[ 0, 3, 4, 4, 0, 0, 0, 0, 0, 5, 0 ]
92,493
[ "best", "sushi", "in", "Boston", ",", "MA" ]
[ 0, 0, 0, 9, 10, 10 ]
142,312
[ "pharmacies", "Springfield", "OR" ]
[ 0, 9, 10 ]
95,028
[ "home", "improvement", "contractors", "near", "Marysville", "WA" ]
[ 0, 0, 0, 0, 9, 10 ]
390,346
[ "doctor", "North", "Peoria", ",", "IL" ]
[ 0, 9, 10, 10, 10 ]
308,877
[ "Jersey", "City", "NJ", "tacos" ]
[ 9, 10, 10, 0 ]
64,307
[ "South", "Boston", ",", "MA", "ice", "cream" ]
[ 9, 10, 10, 10, 0, 0 ]
77,175
[ "poutine", "waco" ]
[ 0, 5 ]
137,888
[ "schnitzel", "in", "West", "Covin" ]
[ 0, 0, 5, 6 ]
321,855
[ "confere", "in", "gardena" ]
[ 0, 0, 5 ]
446,331
[ "fettuccine", "alfredo", "Thistlewood" ]
[ 0, 0, 0 ]
311,581
[ "weather", "Sparks" ]
[ 0, 5 ]
43,472
[ "ratatouille", "orlando" ]
[ 0, 5 ]
424,871
[ "Bradenton", "temperature" ]
[ 5, 0 ]
445,091
[ "contact", "Starbucks", "in", "Memphi" ]
[ 0, 3, 0, 5 ]
210,748
[ "does", "Las", "Vegas", "Convention", "Center", "provide", "home", "repair", "services", "in", "New", "Haven", "?" ]
[ 0, 3, 4, 4, 4, 0, 0, 0, 0, 0, 5, 6, 0 ]
34,228
[ "Tempe", "Junction", ",", "Arizona", "breakfast", "food" ]
[ 9, 10, 10, 10, 0, 0 ]
312,229
[ "teriyaki", "Macon" ]
[ 0, 5 ]
255,095
[ "plumbing", "services", "in", "Indio", ",", "California" ]
[ 0, 0, 0, 9, 10, 10 ]
135,565
[ "doctor", "Moore", ",", "OK" ]
[ 0, 9, 10, 10 ]
56,307
[ "Springfield", "MO", "seafood" ]
[ 9, 10, 0 ]
314,286