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
[ "hiking", "trails", "Lawrence" ]
[ 0, 0, 5 ]
153,655
[ "Top", "-", "rated", "vegan", "restaurants", "in", "Koreatown", "CA" ]
[ 0, 0, 0, 0, 0, 0, 9, 10 ]
369,739
[ "Springfield", ",", "Illinois", "cakes" ]
[ 9, 10, 10, 0 ]
232,991
[ "Virginia", "Beach", ",", "Virginia", "soups" ]
[ 9, 10, 10, 10, 0 ]
213,802
[ "buffalo", "wings", "Tideridge" ]
[ 0, 0, 0 ]
137,991
[ "best", "cafes", "in", "Citrus", "Heights" ]
[ 0, 0, 0, 5, 6 ]
47,768
[ "does", "Novartis", "operate", "in", "Waltham", ",", "MA", "?" ]
[ 0, 3, 0, 0, 9, 10, 10, 0 ]
314,715
[ "weather", "forecast", "bwg" ]
[ 0, 0, 5 ]
240,631
[ "Does", "Emily", "Brooks", "have", "a", "speech", "in", "Omaha", "NE", "?" ]
[ 0, 1, 2, 0, 0, 0, 0, 9, 10, 0 ]
58,023
[ "weather", "Baltimore", "MD" ]
[ 0, 9, 10 ]
52,196
[ "game", "in", "Waldorf" ]
[ 0, 0, 5 ]
298,355
[ "what", "'", "s", "the", "weather", "forecast", "for", "bdr", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 5, 0 ]
315,659
[ "home", "improvement", "West", "Palm", "Beach" ]
[ 0, 0, 5, 6, 6 ]
63,551
[ "real", "estate", "agents", "dundalk" ]
[ 0, 0, 0, 5 ]
352,344
[ "curry", "in", "New", "York", "Cit" ]
[ 0, 0, 5, 6, 6 ]
326,752
[ "brunch", "Wilmington", ",", "NC" ]
[ 0, 9, 10, 10 ]
47,626
[ "seafood", "in", "Crimson", "Bay" ]
[ 0, 0, 0, 0 ]
258,848
[ "sushi", "Bowling", "Green", ",", "KY" ]
[ 0, 9, 10, 10, 10 ]
140,015
[ "seafood", "Lincoln", "Park", ",", "IL" ]
[ 0, 9, 10, 10, 10 ]
106,474
[ "Where", "to", "find", "the", "best", "tempura", "in", "Nashville", "TN", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 9, 10, 0 ]
255,172
[ "West", "Ridge", ",", "IL", "hamburgers" ]
[ 9, 10, 10, 10, 0 ]
445,587
[ "Best", "deals", "on", "luxury", "travel", "in", "Rio", "Rancho", ",", "NM" ]
[ 0, 0, 0, 0, 0, 0, 9, 10, 10, 10 ]
116,194
[ "Is", "Jessica", "Bennett", "available", "for", "an", "appointment", "in", "Houston", "?" ]
[ 0, 1, 2, 0, 0, 0, 0, 0, 5, 0 ]
150,974
[ "burritos", "Pennsylvania" ]
[ 0, 7 ]
143,657
[ "roof", "repair", "specialists", "in", "Castro", "Valley" ]
[ 0, 0, 0, 0, 5, 6 ]
27,136
[ "doctor", "portage", "park" ]
[ 0, 5, 6 ]
177,610
[ "Stormhaven", "goulash" ]
[ 0, 0 ]
357,899
[ "salads", "Revere", ",", "MA" ]
[ 0, 9, 10, 10 ]
51,411
[ "current", "weather", "Chattanooga" ]
[ 0, 0, 5 ]
78,924
[ "movie", "theaters", "Jersey", "City", "NJ" ]
[ 0, 0, 9, 10, 10 ]
83,731
[ "tacos", "Lafayette", ",", "LA" ]
[ 0, 9, 10, 10 ]
148,474
[ "West", "Raleigh", ",", "North", "Carolina", "ice", "cream" ]
[ 9, 10, 10, 10, 10, 0, 0 ]
258,488
[ "Can", "I", "meet", "Michael", "Jordan", "in", "Chicago", ",", "IL", "?" ]
[ 0, 0, 0, 1, 2, 0, 9, 10, 10, 0 ]
381,922
[ "Novartis", "in", "San", "Antonio", ",", "TX" ]
[ 3, 0, 9, 10, 10, 10 ]
280,411
[ "movie", "theaters", "Decatur", "IL" ]
[ 0, 0, 9, 10 ]
223,043
[ "clam", "chowder", "near", "me", "borough", "park" ]
[ 0, 0, 0, 0, 5, 6 ]
231,461
[ "emergency", "services", "Sunset", "Park", "NY" ]
[ 0, 0, 9, 10, 10 ]
368,112
[ "Popular", "crepes", "places", "in", "Durham", "NC" ]
[ 0, 0, 0, 0, 9, 10 ]
156,401
[ "does", "Arlington", "Cybersecurity", "Group", "provide", "home", "repair", "services", "in", "Madison", "?" ]
[ 0, 3, 4, 4, 0, 0, 0, 0, 0, 5, 0 ]
280,704
[ "transi" ]
[ 0 ]
1,554
[ "top", "hotels", "in", "League", "City", ",", "TX" ]
[ 0, 0, 0, 9, 10, 10, 10 ]
237,627
[ "Killeen", ",", "TX", "pharmacies" ]
[ 9, 10, 10, 0 ]
252,984
[ "Hampton", ",", "Virginia", "soups" ]
[ 9, 10, 10, 0 ]
411,876
[ "nearest", "branch", "of", "Portland", "Art", "Museum", "in", "Columbus" ]
[ 0, 0, 0, 3, 4, 4, 0, 5 ]
151,670
[ "Davenport", ",", "Iowa", "burgers" ]
[ 9, 10, 10, 0 ]
281,959
[ "Affordable", "fast", "food", "chains", "in", "Oceanside", "CA" ]
[ 0, 0, 0, 0, 0, 9, 10 ]
261,662
[ "does", "Reno", "Venture", "Capitalists", "operate", "in", "Laredo", "TX", "?" ]
[ 0, 3, 4, 4, 0, 0, 9, 10, 0 ]
193,336
[ "ice", "cream", "Eagan", ",", "Minnesota" ]
[ 0, 0, 9, 10, 10 ]
179,506
[ "pharmacies", "Los", "Angeles", "CA" ]
[ 0, 9, 10, 10 ]
28,006
[ "Norfolk", "Naval", "Shipyard", "reviews", "in", "Kansas" ]
[ 3, 4, 4, 0, 0, 7 ]
403,213
[ "Beaumont", ",", "TX", "noodles" ]
[ 9, 10, 10, 0 ]
225,003
[ "best", "cafes", "in", "Richmond", "Hill", "NY" ]
[ 0, 0, 0, 9, 10, 10 ]
435,763
[ "Popular", "barbecue", "places", "in", "Fall", "River", ",", "MA" ]
[ 0, 0, 0, 0, 9, 10, 10, 10 ]
432,911
[ "french", "fries", "in", "XY" ]
[ 0, 0, 0, 0 ]
275,749
[ "events", "in", "Vancouver", "WA", "this", "weekend" ]
[ 0, 0, 9, 10, 0, 0 ]
168,664
[ "Where", "to", "eat", "paneer", "in", "Modesto", ",", "California", "?" ]
[ 0, 0, 0, 0, 0, 9, 10, 10, 0 ]
260,216
[ "sushi", "Tustin", ",", "CA" ]
[ 0, 9, 10, 10 ]
56,379
[ "Tampa", "Bay", "Buccaneers", "Football", "Club", "in", "Philadelphia", ",", "PA" ]
[ 3, 4, 4, 4, 4, 0, 9, 10, 10 ]
257,107
[ "best", "restaurants", "Vancouve" ]
[ 0, 0, 5 ]
416,828
[ "College", "Station", ",", "TX", "movie", "theaters" ]
[ 9, 10, 10, 10, 0, 0 ]
323,613
[ "pharmacies", "Temecula" ]
[ 0, 5 ]
114,393
[ "tacos", "near", "me", "bwg" ]
[ 0, 0, 0, 5 ]
131,218
[ "hours", "of", "Nashville", "Symphony", "in", "pembroke", "pines" ]
[ 0, 0, 3, 4, 0, 5, 6 ]
63,935
[ "hospital", "Miami" ]
[ 0, 5 ]
10,961
[ "Redhaven", "frozen", "yogurt" ]
[ 0, 0, 0 ]
163,039
[ "what", "'", "s", "the", "weather", "forecast", "for", "saint", "louis", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 5, 6, 0 ]
59,830
[ "Popular", "fried", "chicken", "places", "in", "Chinatown", ",", "NY" ]
[ 0, 0, 0, 0, 0, 9, 10, 10 ]
14,394
[ "something", "typed" ]
[ 0, 0 ]
1,271
[ "hospital", "Muncie", ",", "IN" ]
[ 0, 9, 10, 10 ]
126,080
[ "yakitori", "in", "Umbershade" ]
[ 0, 0, 0 ]
380,619
[ "Fayetteville", "NC", "fried", "chicken" ]
[ 9, 10, 0, 0 ]
358,437
[ "Watsonville", ",", "CA", "sushi" ]
[ 9, 10, 10, 0 ]
114,014
[ "calamari", "near", "me", "Dallas" ]
[ 0, 0, 0, 5 ]
237,897
[ "Time", "Warner", "in", "Houston", ",", "TX" ]
[ 3, 4, 0, 9, 10, 10 ]
95,018
[ "who", "are", "the", "top", "doctors", "in", "San", "Leandro", ",", "CA", "?" ]
[ 0, 0, 0, 0, 0, 0, 9, 10, 10, 10, 0 ]
159,934
[ "Best", "deals", "on", "adventure", "tours", "in", "Jacksonville", ",", "Florida" ]
[ 0, 0, 0, 0, 0, 0, 9, 10, 10 ]
142,670
[ "plumber", "Tri", "-", "Cities", ",", "WA" ]
[ 0, 9, 10, 10, 10, 10 ]
13,190
[ "hiking", "trails", "fnl" ]
[ 0, 0, 5 ]
260,664
[ "ramen", "places", "in", "Santa", "Clar" ]
[ 0, 0, 0, 5, 6 ]
231,428
[ "CO", "poke", "bowl" ]
[ 7, 0, 0 ]
106,413
[ "plumber", "East", "Los", "Angeles", "CA" ]
[ 0, 9, 10, 10, 10 ]
32,279
[ "nearest", "branch", "of", "Riverside", "Manufacturing", "Co", ".", "in", "dfw" ]
[ 0, 0, 0, 3, 4, 4, 4, 0, 5 ]
424,047
[ "does", "Abhijit", "Banerjee", "live", "in", "Miami" ]
[ 0, 1, 2, 0, 0, 5 ]
373,207
[ "does", "Wall", "Street", "Journal", "offer", "roof", "repair", "in", "Chicago", "IL", "?" ]
[ 0, 3, 4, 4, 0, 0, 0, 0, 9, 10, 0 ]
404,575
[ "How", "to", "open", "a", "auto", "loan", "account", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 0 ]
1,397
[ "events", "in", "Chula", "Vista", "CA", "this", "weekend" ]
[ 0, 0, 9, 10, 10, 0, 0 ]
358,984
[ "pizza", "Glendal" ]
[ 0, 5 ]
419,587
[ "nurse", "Washingto" ]
[ 0, 5 ]
308,708
[ "emergency", "services", "duke", "city" ]
[ 0, 0, 5, 6 ]
334,640
[ "home", "improvement", "contractors", "near", "Hawthorne", ",", "CA" ]
[ 0, 0, 0, 0, 9, 10, 10 ]
399,866
[ "MS", "jollof", "rice" ]
[ 7, 0, 0 ]
143,228
[ "what", "'", "s", "the", "weather", "forecast", "for", "new", "haven", "?" ]
[ 0, 0, 0, 0, 0, 0, 0, 5, 6, 0 ]
168,346
[ "gnocchi", "in", "District", "of", "Columbia" ]
[ 0, 0, 7, 8, 8 ]
9,664
[ "Is", "Pope", "Francis", "traveling", "to", "CO", "next", "week", "?" ]
[ 0, 1, 2, 0, 0, 7, 0, 0, 0 ]
89,240
[ "best", "canyon", "in", "Lubbock" ]
[ 0, 0, 0, 5 ]
225,178
[ "does", "Volkswagen", "Group", "operate", "in", "North", "Little", "Rock", ",", "AR", "?" ]
[ 0, 3, 4, 0, 0, 9, 10, 10, 10, 10, 0 ]
237,678
[ "Where", "to", "eat", "steak", "in", "Roanoke", ",", "VA", "?" ]
[ 0, 0, 0, 0, 0, 9, 10, 10, 0 ]
426,567
[ "contact", "Amazon", ".", "com", "in", "Clovis" ]
[ 0, 3, 4, 4, 0, 5 ]
325,213
[ "Colorado", "Springs", ",", "CO", "brunch" ]
[ 9, 10, 10, 10, 0 ]
58,154
[ "nurse", "Sunrise" ]
[ 0, 5 ]
115,781