text stringlengths 165 379 | prompt stringlengths 152 355 | true_cardinality int64 1 460M |
|---|---|---|
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc,movie_info_idx mi_idx FROM T WHERE t.id=mc.movie_id AND t.id=mi_idx.movie_id AND mc.company_id = 50669 AND mi_idx.info_type_id < 100 ### Cardinality: 111 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc,movie_info_idx mi_idx FROM T WHERE t.id=mc.movie_id AND t.id=mi_idx.movie_id AND mc.company_id = 50669 AND mi_idx.info_type_id < 100 ### Cardinality: | 7 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_companies mc FROM T WHERE mc.company_id = 10248 ### Cardinality: 100101011 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_companies mc FROM T WHERE mc.company_id = 10248 ### Cardinality: | 299 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_keyword mk FROM T WHERE t.id=mk.movie_id AND mk.keyword_id > 72217 ### Cardinality: 101001000001111111 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_keyword mk FROM T WHERE t.id=mk.movie_id AND mk.keyword_id > 72217 ### Cardinality: | 168,063 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci,movie_keyword mk FROM T WHERE t.id=ci.movie_id AND t.id=mk.movie_id AND t.kind_id < 7 AND t.production_year < 2007 AND mk.keyword_id < 4834 ### Cardinality: 100010001101100111000111100 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci,movie_keyword mk FROM T WHERE t.id=ci.movie_id AND t.id=mk.movie_id AND t.kind_id < 7 AND t.production_year < 2007 AND mk.keyword_id < 4834 ### Cardinality: | 71,749,180 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci FROM T WHERE t.id=ci.movie_id AND t.kind_id > 3 AND t.production_year < 2007 ### Cardinality: 101111101011000000001101 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci FROM T WHERE t.id=ci.movie_id AND t.kind_id > 3 AND t.production_year < 2007 ### Cardinality: | 12,496,909 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi,movie_info_idx mi_idx FROM T WHERE t.id=mi.movie_id AND t.id=mi_idx.movie_id AND t.kind_id < 7 AND mi.info_type_id > 3 ### Cardinality: 110100110111110011110110 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi,movie_info_idx mi_idx FROM T WHERE t.id=mi.movie_id AND t.id=mi_idx.movie_id AND t.kind_id < 7 AND mi.info_type_id > 3 ### Cardinality: | 13,860,086 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc,movie_keyword mk FROM T WHERE t.id=mc.movie_id AND t.id=mk.movie_id AND t.kind_id = 7 AND t.production_year > 2011 AND mc.company_id < 7851 ### Cardinality: 10000001000101100 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc,movie_keyword mk FROM T WHERE t.id=mc.movie_id AND t.id=mk.movie_id AND t.kind_id = 7 AND t.production_year > 2011 AND mc.company_id < 7851 ### Cardinality: | 66,092 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT cast_info ci FROM T WHERE ci.person_id > 189642 AND ci.role_id > 10 ### Cardinality: 1001011011101111000 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT cast_info ci FROM T WHERE ci.person_id > 189642 AND ci.role_id > 10 ### Cardinality: | 309,112 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi,movie_keyword mk FROM T WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND t.production_year > 2011 AND mk.keyword_id < 1002 ### Cardinality: 11011001110010101001 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi,movie_keyword mk FROM T WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND t.production_year > 2011 AND mk.keyword_id < 1002 ### Cardinality: | 892,073 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_keyword mk FROM T WHERE mk.keyword_id > 2891 ### Cardinality: 1010011011011110110110 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_keyword mk FROM T WHERE mk.keyword_id > 2891 ### Cardinality: | 2,734,006 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci,movie_info_idx mi_idx FROM T WHERE t.id=ci.movie_id AND t.id=mi_idx.movie_id AND t.production_year = 2011 AND ci.person_id < 1164279 AND mi_idx.info_type_id > 101 ### Cardinality: 100110100 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci,movie_info_idx mi_idx FROM T WHERE t.id=ci.movie_id AND t.id=mi_idx.movie_id AND t.production_year = 2011 AND ci.person_id < 1164279 AND mi_idx.info_type_id > 101 ### Cardinality: | 308 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi,movie_keyword mk FROM T WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND t.kind_id = 7 AND mi.info_type_id > 3 AND mk.keyword_id < 3379 ### Cardinality: 1000110100010100100100 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi,movie_keyword mk FROM T WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND t.kind_id = 7 AND mi.info_type_id > 3 AND mk.keyword_id < 3379 ### Cardinality: | 2,311,460 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc,movie_info mi FROM T WHERE t.id=mc.movie_id AND t.id=mi.movie_id AND t.kind_id < 4 AND mc.company_type_id = 2 AND mi.info_type_id > 84 ### Cardinality: 1000000100010110100000 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc,movie_info mi FROM T WHERE t.id=mc.movie_id AND t.id=mi.movie_id AND t.kind_id < 4 AND mc.company_type_id = 2 AND mi.info_type_id > 84 ### Cardinality: | 2,114,976 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_keyword mk FROM T WHERE mk.keyword_id > 3459 ### Cardinality: 1001101110101001010011 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_keyword mk FROM T WHERE mk.keyword_id > 3459 ### Cardinality: | 2,550,355 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_companies mc FROM T WHERE mc.company_id = 79477 AND mc.company_type_id > 1 ### Cardinality: 100 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_companies mc FROM T WHERE mc.company_id = 79477 AND mc.company_type_id > 1 ### Cardinality: | 4 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi FROM T WHERE t.id=mi.movie_id AND t.kind_id = 7 AND t.production_year = 1979 ### Cardinality: 111001111000101 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi FROM T WHERE t.id=mi.movie_id AND t.kind_id = 7 AND t.production_year = 1979 ### Cardinality: | 29,637 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci FROM T WHERE t.id=ci.movie_id AND t.production_year > 2010 AND ci.person_id > 3274758 AND ci.role_id > 6 ### Cardinality: 10111110101111100111 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci FROM T WHERE t.id=ci.movie_id AND t.production_year > 2010 AND ci.person_id > 3274758 AND ci.role_id > 6 ### Cardinality: | 781,287 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci,movie_keyword mk FROM T WHERE t.id=ci.movie_id AND t.id=mk.movie_id AND t.kind_id = 7 AND t.production_year < 2004 AND mk.keyword_id < 310 ### Cardinality: 10010000111100000011 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci,movie_keyword mk FROM T WHERE t.id=ci.movie_id AND t.id=mk.movie_id AND t.kind_id = 7 AND t.production_year < 2004 AND mk.keyword_id < 310 ### Cardinality: | 593,667 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci FROM T WHERE t.id=ci.movie_id AND ci.person_id < 2500247 AND ci.role_id > 2 ### Cardinality: 10101111100101111001000 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci FROM T WHERE t.id=ci.movie_id AND ci.person_id < 2500247 AND ci.role_id > 2 ### Cardinality: | 5,753,800 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci FROM T WHERE t.id=ci.movie_id AND t.production_year > 1979 AND ci.person_id = 2810905 AND ci.role_id = 4 ### Cardinality: 101011 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci FROM T WHERE t.id=ci.movie_id AND t.production_year > 1979 AND ci.person_id = 2810905 AND ci.role_id = 4 ### Cardinality: | 43 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci FROM T WHERE t.id=ci.movie_id AND t.production_year > 2009 AND ci.person_id < 1447774 AND ci.role_id = 1 ### Cardinality: 111110010010000101100 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci FROM T WHERE t.id=ci.movie_id AND t.production_year > 2009 AND ci.person_id < 1447774 AND ci.role_id = 1 ### Cardinality: | 2,040,876 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi FROM T WHERE t.id=mi.movie_id AND t.kind_id < 7 AND t.production_year = 1995 AND mi.info_type_id > 4 ### Cardinality: 10101100011010010 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi FROM T WHERE t.id=mi.movie_id AND t.kind_id < 7 AND t.production_year = 1995 AND mi.info_type_id > 4 ### Cardinality: | 88,274 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi,movie_info_idx mi_idx FROM T WHERE t.id=mi.movie_id AND t.id=mi_idx.movie_id AND t.kind_id = 1 AND t.production_year > 2007 AND mi.info_type_id < 6 ### Cardinality: 11000011001001110101 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi,movie_info_idx mi_idx FROM T WHERE t.id=mi.movie_id AND t.id=mi_idx.movie_id AND t.kind_id = 1 AND t.production_year > 2007 AND mi.info_type_id < 6 ### Cardinality: | 799,349 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi,movie_info_idx mi_idx FROM T WHERE t.id=mi.movie_id AND t.id=mi_idx.movie_id AND t.kind_id = 7 AND t.production_year < 2000 AND mi.info_type_id = 5 ### Cardinality: 1010101101001000 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi,movie_info_idx mi_idx FROM T WHERE t.id=mi.movie_id AND t.id=mi_idx.movie_id AND t.kind_id = 7 AND t.production_year < 2000 AND mi.info_type_id = 5 ### Cardinality: | 43,848 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci,movie_info mi FROM T WHERE t.id=ci.movie_id AND t.id=mi.movie_id AND ci.person_id > 2021838 AND ci.role_id < 4 AND mi.info_type_id = 17 ### Cardinality: 1011101010100010111111 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci,movie_info mi FROM T WHERE t.id=ci.movie_id AND t.id=mi.movie_id AND ci.person_id > 2021838 AND ci.role_id < 4 AND mi.info_type_id = 17 ### Cardinality: | 3,057,855 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_companies mc FROM T WHERE mc.company_id > 72033 ### Cardinality: 10000101000101010111 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_companies mc FROM T WHERE mc.company_id > 72033 ### Cardinality: | 545,111 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info_idx mi_idx FROM T WHERE t.id=mi_idx.movie_id AND t.production_year < 1959 AND mi_idx.info_type_id < 101 ### Cardinality: 10100011111001110 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info_idx mi_idx FROM T WHERE t.id=mi_idx.movie_id AND t.production_year < 1959 AND mi_idx.info_type_id < 101 ### Cardinality: | 83,918 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci FROM T WHERE t.id=ci.movie_id AND t.production_year = 1995 AND ci.person_id < 1328631 AND ci.role_id > 1 ### Cardinality: 1101010000110111 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci FROM T WHERE t.id=ci.movie_id AND t.production_year = 1995 AND ci.person_id < 1328631 AND ci.role_id > 1 ### Cardinality: | 54,327 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc FROM T WHERE t.id=mc.movie_id AND t.kind_id > 1 AND t.production_year = 2010 AND mc.company_id < 92273 ### Cardinality: 1111100110110111 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc FROM T WHERE t.id=mc.movie_id AND t.kind_id > 1 AND t.production_year = 2010 AND mc.company_id < 92273 ### Cardinality: | 63,927 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_companies mc FROM T WHERE mc.company_id > 12030 AND mc.company_type_id > 1 ### Cardinality: 11011000011010011111 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_companies mc FROM T WHERE mc.company_id > 12030 AND mc.company_type_id > 1 ### Cardinality: | 886,431 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci,movie_info mi FROM T WHERE t.id=ci.movie_id AND t.id=mi.movie_id AND ci.person_id < 412828 ### Cardinality: 11010101110010110110100100 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci,movie_info mi FROM T WHERE t.id=ci.movie_id AND t.id=mi.movie_id AND ci.person_id < 412828 ### Cardinality: | 56,044,964 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi,movie_keyword mk FROM T WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND t.kind_id = 1 AND mi.info_type_id < 16 AND mk.keyword_id < 6419 ### Cardinality: 11001001010110100011100010 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi,movie_keyword mk FROM T WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND t.kind_id = 1 AND mi.info_type_id < 16 AND mk.keyword_id < 6419 ### Cardinality: | 52,783,330 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci,movie_info_idx mi_idx FROM T WHERE t.id=ci.movie_id AND t.id=mi_idx.movie_id AND t.production_year > 1955 AND ci.person_id < 1845692 AND ci.role_id < 4 ### Cardinality: 111011001100011010110101 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci,movie_info_idx mi_idx FROM T WHERE t.id=ci.movie_id AND t.id=mi_idx.movie_id AND t.production_year > 1955 AND ci.person_id < 1845692 AND ci.role_id < 4 ### Cardinality: | 15,517,365 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT cast_info ci FROM T WHERE ci.person_id > 1415351 ### Cardinality: 1010011011011000110000110 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT cast_info ci FROM T WHERE ci.person_id > 1415351 ### Cardinality: | 21,868,934 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc,movie_info mi FROM T WHERE t.id=mc.movie_id AND t.id=mi.movie_id AND t.production_year = 1975 ### Cardinality: 1100101100000001011 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc,movie_info mi FROM T WHERE t.id=mc.movie_id AND t.id=mi.movie_id AND t.production_year = 1975 ### Cardinality: | 415,755 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc,movie_info_idx mi_idx FROM T WHERE t.id=mc.movie_id AND t.id=mi_idx.movie_id AND t.production_year < 1982 AND mc.company_id < 2435 AND mi_idx.info_type_id = 100 ### Cardinality: 111111100101101... | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc,movie_info_idx mi_idx FROM T WHERE t.id=mc.movie_id AND t.id=mi_idx.movie_id AND t.production_year < 1982 AND mc.company_id < 2435 AND mi_idx.info_type_id = 100 ### Cardinality: | 130,231 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_keyword mk FROM T WHERE t.id=mk.movie_id AND mk.keyword_id = 7771 ### Cardinality: 110000110100 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_keyword mk FROM T WHERE t.id=mk.movie_id AND mk.keyword_id = 7771 ### Cardinality: | 3,124 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci,movie_info mi FROM T WHERE t.id=ci.movie_id AND t.id=mi.movie_id AND t.production_year > 2011 AND ci.role_id > 10 ### Cardinality: 111100010110000101 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci,movie_info mi FROM T WHERE t.id=ci.movie_id AND t.id=mi.movie_id AND t.production_year > 2011 AND ci.role_id > 10 ### Cardinality: | 247,173 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_keyword mk FROM T WHERE t.id=mk.movie_id AND t.kind_id < 7 AND mk.keyword_id < 10140 ### Cardinality: 1001110010110000101000 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_keyword mk FROM T WHERE t.id=mk.movie_id AND t.kind_id < 7 AND mk.keyword_id < 10140 ### Cardinality: | 2,567,208 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi,movie_keyword mk FROM T WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND t.kind_id < 7 AND t.production_year = 2008 AND mi.info_type_id = 16 ### Cardinality: 111101010111111101110 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi,movie_keyword mk FROM T WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND t.kind_id < 7 AND t.production_year = 2008 AND mi.info_type_id = 16 ### Cardinality: | 2,011,118 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci,movie_keyword mk FROM T WHERE t.id=ci.movie_id AND t.id=mk.movie_id AND ci.person_id < 1265641 AND ci.role_id < 2 ### Cardinality: 11011101010011000000111010 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci,movie_keyword mk FROM T WHERE t.id=ci.movie_id AND t.id=mk.movie_id AND ci.person_id < 1265641 AND ci.role_id < 2 ### Cardinality: | 58,011,706 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi,movie_info_idx mi_idx FROM T WHERE t.id=mi.movie_id AND t.id=mi_idx.movie_id AND t.production_year > 1976 AND mi_idx.info_type_id > 100 ### Cardinality: 10100011000011000111101 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi,movie_info_idx mi_idx FROM T WHERE t.id=mi.movie_id AND t.id=mi_idx.movie_id AND t.production_year > 1976 AND mi_idx.info_type_id > 100 ### Cardinality: | 5,342,781 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi,movie_keyword mk FROM T WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND mi.info_type_id > 3 AND mk.keyword_id > 9454 ### Cardinality: 100110010110010111110111000 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi,movie_keyword mk FROM T WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND mi.info_type_id > 3 AND mk.keyword_id > 9454 ### Cardinality: | 80,424,888 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_keyword mk FROM T WHERE t.id=mk.movie_id AND t.kind_id > 1 AND t.production_year > 1918 ### Cardinality: 110001011111011000001 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_keyword mk FROM T WHERE t.id=mk.movie_id AND t.kind_id > 1 AND t.production_year > 1918 ### Cardinality: | 1,621,697 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_keyword mk FROM T WHERE mk.keyword_id = 24894 ### Cardinality: 11101101 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_keyword mk FROM T WHERE mk.keyword_id = 24894 ### Cardinality: | 237 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info_idx mi_idx,movie_keyword mk FROM T WHERE t.id=mi_idx.movie_id AND t.id=mk.movie_id AND mi_idx.info_type_id > 101 AND mk.keyword_id < 1878 ### Cardinality: 10010110010010 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info_idx mi_idx,movie_keyword mk FROM T WHERE t.id=mi_idx.movie_id AND t.id=mk.movie_id AND mi_idx.info_type_id > 101 AND mk.keyword_id < 1878 ### Cardinality: | 9,618 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc,movie_keyword mk FROM T WHERE t.id=mc.movie_id AND t.id=mk.movie_id AND mc.company_id = 88911 ### Cardinality: 1010 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc,movie_keyword mk FROM T WHERE t.id=mc.movie_id AND t.id=mk.movie_id AND mc.company_id = 88911 ### Cardinality: | 10 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_keyword mk FROM T WHERE t.id=mk.movie_id AND mk.keyword_id = 7550 ### Cardinality: 10000100 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_keyword mk FROM T WHERE t.id=mk.movie_id AND mk.keyword_id = 7550 ### Cardinality: | 132 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc,cast_info ci FROM T WHERE t.id=mc.movie_id AND t.id=ci.movie_id AND t.kind_id = 4 AND t.production_year = 2003 AND ci.person_id > 1303926 ### Cardinality: 10111111011000010 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc,cast_info ci FROM T WHERE t.id=mc.movie_id AND t.id=ci.movie_id AND t.kind_id = 4 AND t.production_year = 2003 AND ci.person_id > 1303926 ### Cardinality: | 97,986 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_keyword mk FROM T WHERE t.id=mk.movie_id AND t.kind_id < 4 AND mk.keyword_id < 22318 ### Cardinality: 1010010101010000001111 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_keyword mk FROM T WHERE t.id=mk.movie_id AND t.kind_id < 4 AND mk.keyword_id < 22318 ### Cardinality: | 2,708,495 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc,cast_info ci FROM T WHERE t.id=mc.movie_id AND t.id=ci.movie_id AND t.kind_id > 1 AND t.production_year = 1961 AND mc.company_id > 71105 ### Cardinality: 111111001011010 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc,cast_info ci FROM T WHERE t.id=mc.movie_id AND t.id=ci.movie_id AND t.kind_id > 1 AND t.production_year = 1961 AND mc.company_id > 71105 ### Cardinality: | 32,346 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t FROM T WHERE t.kind_id < 7 AND t.production_year < 2011 ### Cardinality: 11001101110100001010 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t FROM T WHERE t.kind_id < 7 AND t.production_year < 2011 ### Cardinality: | 843,018 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci FROM T WHERE t.id=ci.movie_id AND t.kind_id = 1 AND t.production_year = 2001 AND ci.role_id < 8 ### Cardinality: 11111110001010110 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci FROM T WHERE t.id=ci.movie_id AND t.kind_id = 1 AND t.production_year = 2001 AND ci.role_id < 8 ### Cardinality: | 130,134 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT cast_info ci FROM T WHERE ci.person_id < 2919119 AND ci.role_id > 1 ### Cardinality: 111101001010000110111100 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT cast_info ci FROM T WHERE ci.person_id < 2919119 AND ci.role_id > 1 ### Cardinality: | 16,032,188 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_companies mc FROM T WHERE mc.company_id > 11387 ### Cardinality: 100111000010010010101 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_companies mc FROM T WHERE mc.company_id > 11387 ### Cardinality: | 1,279,125 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_keyword mk FROM T WHERE mk.keyword_id > 3117 ### Cardinality: 1010001010000101000100 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_keyword mk FROM T WHERE mk.keyword_id > 3117 ### Cardinality: | 2,662,724 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc FROM T WHERE t.id=mc.movie_id AND t.kind_id = 7 AND t.production_year > 2007 AND mc.company_id < 127135 AND mc.company_type_id = 2 ### Cardinality: 11101011001110100 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc FROM T WHERE t.id=mc.movie_id AND t.kind_id = 7 AND t.production_year > 2007 AND mc.company_id < 127135 AND mc.company_type_id = 2 ### Cardinality: | 120,436 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_keyword mk FROM T WHERE t.id=mk.movie_id AND t.kind_id > 4 AND t.production_year < 2012 AND mk.keyword_id < 4801 ### Cardinality: 1001100001100000010 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_keyword mk FROM T WHERE t.id=mk.movie_id AND t.kind_id > 4 AND t.production_year < 2012 AND mk.keyword_id < 4801 ### Cardinality: | 312,066 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT cast_info ci FROM T WHERE ci.person_id = 2446607 AND ci.role_id < 4 ### Cardinality: 1110011 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT cast_info ci FROM T WHERE ci.person_id = 2446607 AND ci.role_id < 4 ### Cardinality: | 115 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci FROM T WHERE t.id=ci.movie_id AND t.kind_id = 7 AND t.production_year < 1913 AND ci.person_id < 1797851 AND ci.role_id > 3 ### Cardinality: 1 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci FROM T WHERE t.id=ci.movie_id AND t.kind_id = 7 AND t.production_year < 1913 AND ci.person_id < 1797851 AND ci.role_id > 3 ### Cardinality: | 1 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_keyword mk FROM T WHERE t.id=mk.movie_id AND t.kind_id = 1 AND t.production_year > 2002 AND mk.keyword_id < 359 ### Cardinality: 10011001100001111 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_keyword mk FROM T WHERE t.id=mk.movie_id AND t.kind_id = 1 AND t.production_year > 2002 AND mk.keyword_id < 359 ### Cardinality: | 78,607 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci,movie_keyword mk FROM T WHERE t.id=ci.movie_id AND t.id=mk.movie_id AND t.kind_id > 1 AND mk.keyword_id < 8017 ### Cardinality: 1101100011100100000100011 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci,movie_keyword mk FROM T WHERE t.id=ci.movie_id AND t.id=mk.movie_id AND t.kind_id > 1 AND mk.keyword_id < 8017 ### Cardinality: | 28,428,323 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci,movie_keyword mk FROM T WHERE t.id=ci.movie_id AND t.id=mk.movie_id AND t.production_year < 1995 AND ci.person_id > 2089637 AND mk.keyword_id < 1301 ### Cardinality: 10101010001111101001001 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci,movie_keyword mk FROM T WHERE t.id=ci.movie_id AND t.id=mk.movie_id AND t.production_year < 1995 AND ci.person_id > 2089637 AND mk.keyword_id < 1301 ### Cardinality: | 5,578,569 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_keyword mk FROM T WHERE mk.keyword_id = 15901 ### Cardinality: 100001000 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_keyword mk FROM T WHERE mk.keyword_id = 15901 ### Cardinality: | 264 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci,movie_info mi FROM T WHERE t.id=ci.movie_id AND t.id=mi.movie_id AND ci.person_id < 77798 AND ci.role_id > 7 AND mi.info_type_id = 4 ### Cardinality: 1100110011111100 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci,movie_info mi FROM T WHERE t.id=ci.movie_id AND t.id=mi.movie_id AND ci.person_id < 77798 AND ci.role_id > 7 AND mi.info_type_id = 4 ### Cardinality: | 52,476 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc,movie_info_idx mi_idx FROM T WHERE t.id=mc.movie_id AND t.id=mi_idx.movie_id AND mc.company_id > 20125 AND mi_idx.info_type_id = 99 ### Cardinality: 1101001011010000010 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc,movie_info_idx mi_idx FROM T WHERE t.id=mc.movie_id AND t.id=mi_idx.movie_id AND mc.company_id > 20125 AND mi_idx.info_type_id = 99 ### Cardinality: | 431,746 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi FROM T WHERE t.id=mi.movie_id AND t.kind_id > 4 AND t.production_year = 2008 AND mi.info_type_id = 2 ### Cardinality: 11101000110100 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi FROM T WHERE t.id=mi.movie_id AND t.kind_id > 4 AND t.production_year = 2008 AND mi.info_type_id = 2 ### Cardinality: | 14,900 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc,movie_keyword mk FROM T WHERE t.id=mc.movie_id AND t.id=mk.movie_id AND t.kind_id = 1 AND t.production_year < 2009 ### Cardinality: 1100000100111100100110111 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc,movie_keyword mk FROM T WHERE t.id=mc.movie_id AND t.id=mk.movie_id AND t.kind_id = 1 AND t.production_year < 2009 ### Cardinality: | 25,327,927 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci,movie_info mi FROM T WHERE t.id=ci.movie_id AND t.id=mi.movie_id AND t.production_year = 2000 AND ci.role_id > 2 ### Cardinality: 10111010011000101110001 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci,movie_info mi FROM T WHERE t.id=ci.movie_id AND t.id=mi.movie_id AND t.production_year = 2000 AND ci.role_id > 2 ### Cardinality: | 6,107,505 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci FROM T WHERE t.id=ci.movie_id AND t.kind_id < 7 AND t.production_year = 2008 AND ci.person_id > 428529 AND ci.role_id > 10 ### Cardinality: 1001101001010 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci FROM T WHERE t.id=ci.movie_id AND t.kind_id < 7 AND t.production_year = 2008 AND ci.person_id > 428529 AND ci.role_id > 10 ### Cardinality: | 4,938 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci,movie_info_idx mi_idx FROM T WHERE t.id=ci.movie_id AND t.id=mi_idx.movie_id AND t.kind_id > 2 AND mi_idx.info_type_id = 101 ### Cardinality: 11010011010101101000000 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci,movie_info_idx mi_idx FROM T WHERE t.id=ci.movie_id AND t.id=mi_idx.movie_id AND t.kind_id > 2 AND mi_idx.info_type_id = 101 ### Cardinality: | 6,925,120 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi,movie_keyword mk FROM T WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND t.kind_id = 7 AND t.production_year > 1996 AND mk.keyword_id > 12029 ### Cardinality: 101001100111100000011 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi,movie_keyword mk FROM T WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND t.kind_id = 7 AND t.production_year > 1996 AND mk.keyword_id > 12029 ### Cardinality: | 1,363,715 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi,movie_keyword mk FROM T WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND mk.keyword_id = 1110 ### Cardinality: 101000011100000 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi,movie_keyword mk FROM T WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND mk.keyword_id = 1110 ### Cardinality: | 20,704 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi FROM T WHERE t.id=mi.movie_id AND t.kind_id > 3 AND t.production_year = 2013 AND mi.info_type_id > 17 ### Cardinality: 1010100000101 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi FROM T WHERE t.id=mi.movie_id AND t.kind_id > 3 AND t.production_year = 2013 AND mi.info_type_id > 17 ### Cardinality: | 5,381 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci FROM T WHERE t.id=ci.movie_id AND t.kind_id < 7 AND t.production_year = 1983 AND ci.person_id < 3194840 ### Cardinality: 11000101111101000 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci FROM T WHERE t.id=ci.movie_id AND t.kind_id < 7 AND t.production_year = 1983 AND ci.person_id < 3194840 ### Cardinality: | 101,352 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci FROM T WHERE t.id=ci.movie_id AND t.production_year < 1944 AND ci.role_id > 1 ### Cardinality: 10100001000101101111 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci FROM T WHERE t.id=ci.movie_id AND t.production_year < 1944 AND ci.role_id > 1 ### Cardinality: | 659,823 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_keyword mk FROM T WHERE mk.keyword_id = 25945 ### Cardinality: 1100011 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_keyword mk FROM T WHERE mk.keyword_id = 25945 ### Cardinality: | 99 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc FROM T WHERE t.id=mc.movie_id AND t.production_year = 1962 ### Cardinality: 100000010010010 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc FROM T WHERE t.id=mc.movie_id AND t.production_year = 1962 ### Cardinality: | 16,530 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_keyword mk FROM T WHERE mk.keyword_id < 6116 ### Cardinality: 1001100010110010100100 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_keyword mk FROM T WHERE mk.keyword_id < 6116 ### Cardinality: | 2,501,796 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc FROM T WHERE t.id=mc.movie_id AND mc.company_id > 57927 AND mc.company_type_id > 1 ### Cardinality: 10010111101100101100 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc FROM T WHERE t.id=mc.movie_id AND mc.company_id > 57927 AND mc.company_type_id > 1 ### Cardinality: | 621,356 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc,movie_info mi FROM T WHERE t.id=mc.movie_id AND t.id=mi.movie_id AND t.kind_id = 1 AND t.production_year > 2001 AND mc.company_id < 160 AND mc.company_type_id = 1 AND mi.info_type_id > 18 ### C... | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc,movie_info mi FROM T WHERE t.id=mc.movie_id AND t.id=mi.movie_id AND t.kind_id = 1 AND t.production_year > 2001 AND mc.company_id < 160 AND mc.company_type_id = 1 AND mi.info_type_id > 18 ### C... | 189,533 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc,movie_keyword mk FROM T WHERE t.id=mc.movie_id AND t.id=mk.movie_id AND t.production_year > 0 AND mc.company_id < 73817 AND mc.company_type_id = 1 AND mk.keyword_id > 24 ### Cardinality: 110010... | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc,movie_keyword mk FROM T WHERE t.id=mc.movie_id AND t.id=mk.movie_id AND t.production_year > 0 AND mc.company_id < 73817 AND mc.company_type_id = 1 AND mk.keyword_id > 24 ### Cardinality: | 26,368,862 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci,movie_info mi FROM T WHERE t.id=ci.movie_id AND t.id=mi.movie_id AND ci.person_id < 1661259 ### Cardinality: 1101000010111110101100111111 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci,movie_info mi FROM T WHERE t.id=ci.movie_id AND t.id=mi.movie_id AND ci.person_id < 1661259 ### Cardinality: | 218,884,927 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci,movie_keyword mk FROM T WHERE t.id=ci.movie_id AND t.id=mk.movie_id AND ci.person_id < 1909340 ### Cardinality: 110111110101110000100000010 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci,movie_keyword mk FROM T WHERE t.id=ci.movie_id AND t.id=mk.movie_id AND ci.person_id < 1909340 ### Cardinality: | 117,104,898 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci FROM T WHERE t.id=ci.movie_id AND ci.person_id < 3753037 ### Cardinality: 10000100010011100101100101 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci FROM T WHERE t.id=ci.movie_id AND ci.person_id < 3753037 ### Cardinality: | 34,683,237 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_keyword mk FROM T WHERE mk.keyword_id > 9015 ### Cardinality: 110010000011110110011 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_keyword mk FROM T WHERE mk.keyword_id > 9015 ### Cardinality: | 1,640,371 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc,cast_info ci FROM T WHERE t.id=mc.movie_id AND t.id=ci.movie_id AND t.kind_id = 7 AND mc.company_id > 2609 AND ci.role_id > 6 ### Cardinality: 1001000110101101011101 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc,cast_info ci FROM T WHERE t.id=mc.movie_id AND t.id=ci.movie_id AND t.kind_id = 7 AND mc.company_id > 2609 AND ci.role_id > 6 ### Cardinality: | 2,386,781 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc FROM T WHERE t.id=mc.movie_id AND t.kind_id = 1 AND t.production_year > 2007 AND mc.company_type_id = 1 ### Cardinality: 11100001101000110 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc FROM T WHERE t.id=mc.movie_id AND t.kind_id = 1 AND t.production_year > 2007 AND mc.company_type_id = 1 ### Cardinality: | 115,526 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_companies mc FROM T WHERE mc.company_id < 5867 AND mc.company_type_id < 2 ### Cardinality: 10101111100100010101 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_companies mc FROM T WHERE mc.company_id < 5867 AND mc.company_type_id < 2 ### Cardinality: | 719,125 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info_idx mi_idx,movie_keyword mk FROM T WHERE t.id=mi_idx.movie_id AND t.id=mk.movie_id AND mi_idx.info_type_id = 99 AND mk.keyword_id < 12097 ### Cardinality: 1001010001011010010000 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info_idx mi_idx,movie_keyword mk FROM T WHERE t.id=mi_idx.movie_id AND t.id=mk.movie_id AND mi_idx.info_type_id = 99 AND mk.keyword_id < 12097 ### Cardinality: | 2,430,608 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc FROM T WHERE t.id=mc.movie_id AND t.production_year < 2013 AND mc.company_id = 18590 ### Cardinality: 10 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc FROM T WHERE t.id=mc.movie_id AND t.production_year < 2013 AND mc.company_id = 18590 ### Cardinality: | 2 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_keyword mk FROM T WHERE mk.keyword_id = 20119 ### Cardinality: 10000111 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_keyword mk FROM T WHERE mk.keyword_id = 20119 ### Cardinality: | 135 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_keyword mk FROM T WHERE mk.keyword_id = 19204 ### Cardinality: 100010 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_keyword mk FROM T WHERE mk.keyword_id = 19204 ### Cardinality: | 34 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_keyword mk FROM T WHERE t.id=mk.movie_id AND t.kind_id = 7 AND t.production_year = 2008 AND mk.keyword_id < 309 ### Cardinality: 110010010011 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_keyword mk FROM T WHERE t.id=mk.movie_id AND t.kind_id = 7 AND t.production_year = 2008 AND mk.keyword_id < 309 ### Cardinality: | 3,219 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_keyword mk FROM T WHERE mk.keyword_id < 7773 ### Cardinality: 1010011100100100101100 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_keyword mk FROM T WHERE mk.keyword_id < 7773 ### Cardinality: | 2,738,476 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info_idx mi_idx FROM T WHERE t.id=mi_idx.movie_id AND t.production_year < 1952 AND mi_idx.info_type_id > 101 ### Cardinality: 100011 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info_idx mi_idx FROM T WHERE t.id=mi_idx.movie_id AND t.production_year < 1952 AND mi_idx.info_type_id > 101 ### Cardinality: | 35 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_keyword mk FROM T WHERE t.id=mk.movie_id AND mk.keyword_id > 1415 ### Cardinality: 1100101110011110100111 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_keyword mk FROM T WHERE t.id=mk.movie_id AND mk.keyword_id > 1415 ### Cardinality: | 3,336,103 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info_idx mi_idx FROM T WHERE t.id=mi_idx.movie_id AND t.kind_id < 7 AND t.production_year < 1998 AND mi_idx.info_type_id > 99 ### Cardinality: 1001001110110011111 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info_idx mi_idx FROM T WHERE t.id=mi_idx.movie_id AND t.kind_id < 7 AND t.production_year < 1998 AND mi_idx.info_type_id > 99 ### Cardinality: | 302,495 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info_idx mi_idx,movie_keyword mk FROM T WHERE t.id=mi_idx.movie_id AND t.id=mk.movie_id AND mk.keyword_id < 249 ### Cardinality: 10100100111010100110 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info_idx mi_idx,movie_keyword mk FROM T WHERE t.id=mi_idx.movie_id AND t.id=mk.movie_id AND mk.keyword_id < 249 ### Cardinality: | 675,494 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc,movie_keyword mk FROM T WHERE t.id=mc.movie_id AND t.id=mk.movie_id AND t.kind_id < 7 AND mc.company_id < 2541 AND mc.company_type_id > 1 ### Cardinality: 11111010011111000100 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc,movie_keyword mk FROM T WHERE t.id=mc.movie_id AND t.id=mk.movie_id AND t.kind_id < 7 AND mc.company_id < 2541 AND mc.company_type_id > 1 ### Cardinality: | 1,025,988 |
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