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 t.production_year = 1958 AND mi_idx.info_type_id > 101 ### Cardinality: 110110 | 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 = 1958 AND mi_idx.info_type_id > 101 ### Cardinality: | 54 |
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 mk.keyword_id < 833 ### Cardinality: 10100100011001011001100 | 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 mk.keyword_id < 833 ### Cardinality: | 5,386,956 |
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 > 2337 ### Cardinality: 1010001000010010100010 | 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 > 2337 ### Cardinality: | 2,655,394 |
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 > 405 ### Cardinality: 1111000011110011111111 | 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 > 405 ### Cardinality: | 3,947,775 |
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.kind_id > 1 AND t.production_year < 1967 AND mc.company_id < 305 AND mc.company_type_id = 2 ### Cardinality: 10110111011110 | 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.kind_id > 1 AND t.production_year < 1967 AND mc.company_id < 305 AND mc.company_type_id = 2 ### Cardinality: | 11,742 |
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 < 3352599 AND ci.role_id > 2 ### Cardinality: 101110101111110000101101 | 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 < 3352599 AND ci.role_id > 2 ### Cardinality: | 12,254,253 |
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 = 19609 ### Cardinality: 1001110 | 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 = 19609 ### Cardinality: | 78 |
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 > 2012 AND mc.company_id < 6 AND mc.company_type_id < 2 ### Cardinality: 110111110 | 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 > 2012 AND mc.company_id < 6 AND mc.company_type_id < 2 ### Cardinality: | 446 |
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 = 2 AND t.production_year > 2008 ### Cardinality: 101101101110100 | 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 = 2 AND t.production_year > 2008 ### Cardinality: | 23,412 |
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 t.production_year = 2011 AND mi_idx.info_type_id < 100 ### Cardinality: 11000101010010110 | 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 t.production_year = 2011 AND mi_idx.info_type_id < 100 ### Cardinality: | 101,014 |
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 mk.keyword_id > 2554 ### Cardinality: 110111011010001100100 | 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 mk.keyword_id > 2554 ### Cardinality: | 1,815,652 |
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 < 1996 ### Cardinality: 100100101111101100010101010 | 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 < 1996 ### Cardinality: | 77,060,266 |
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 = 1998 AND mi.info_type_id = 16 ### Cardinality: 100001101010011 | 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 = 1998 AND mi.info_type_id = 16 ### Cardinality: | 17,235 |
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.production_year > 2010 AND mk.keyword_id < 335 ### Cardinality: 100110101110110 | 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.production_year > 2010 AND mk.keyword_id < 335 ### Cardinality: | 19,830 |
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 > 2 AND t.production_year = 2010 ### Cardinality: 110111101111110 | 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 > 2 AND t.production_year = 2010 ### Cardinality: | 28,542 |
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 < 2008 AND ci.role_id = 10 ### Cardinality: 1001001010001011011110 | 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 < 2008 AND ci.role_id = 10 ### Cardinality: | 2,400,990 |
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 > 1899 AND mi_idx.info_type_id < 101 ### Cardinality: 110100110011000110110110 | 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 > 1899 AND mi_idx.info_type_id < 101 ### Cardinality: | 13,840,822 |
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 < 2050 ### Cardinality: 101100011011001010100 | 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 < 2050 ### Cardinality: | 1,455,700 |
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 = 21041 ### Cardinality: 11110000011 | 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 = 21041 ### Cardinality: | 1,923 |
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 mc.company_id < 226 AND mc.company_type_id = 2 ### Cardinality: 1010101010110010 | 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 mc.company_id < 226 AND mc.company_type_id = 2 ### Cardinality: | 43,698 |
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 t.kind_id < 7 AND t.production_year < 1959 AND mk.keyword_id = 679 ### Cardinality: 1110100110 | 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 t.kind_id < 7 AND t.production_year < 1959 AND mk.keyword_id = 679 ### Cardinality: | 934 |
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 > 107 ### Cardinality: 100110111001101001111011 | 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 > 107 ### Cardinality: | 10,197,627 |
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 mi.info_type_id = 106 AND mi_idx.info_type_id > 101 ### Cardinality: 1001111111001 | 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 mi.info_type_id = 106 AND mi_idx.info_type_id > 101 ### Cardinality: | 5,113 |
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 t.kind_id = 1 AND mi_idx.info_type_id < 101 ### Cardinality: 10011000110010100010010 | 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 t.kind_id = 1 AND mi_idx.info_type_id < 101 ### Cardinality: | 5,006,610 |
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 > 9790 ### Cardinality: 110000011100001001000 | 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 > 9790 ### Cardinality: | 1,587,272 |
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 < 7 AND t.production_year < 2008 AND mi_idx.info_type_id < 101 ### Cardinality: 110011011111111001100000 | 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 < 7 AND t.production_year < 2008 AND mi_idx.info_type_id < 101 ### Cardinality: | 13,500,000 |
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 > 1972 AND ci.role_id = 9 AND mi_idx.info_type_id < 100 ### Cardinality: 1010001101010101100 | 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 > 1972 AND ci.role_id = 9 AND mi_idx.info_type_id < 100 ### Cardinality: | 334,508 |
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 = 1851583 ### Cardinality: 1000000000 | 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 = 1851583 ### Cardinality: | 512 |
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 > 2556 ### Cardinality: 1010111000110110001001 | 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 > 2556 ### Cardinality: | 2,854,281 |
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 > 1082 ### Cardinality: 1101001001000101001100 | 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 > 1082 ### Cardinality: | 3,445,068 |
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 = 1997 AND mi.info_type_id = 7 ### Cardinality: 100101001100010 | 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 = 1997 AND mi.info_type_id = 7 ### Cardinality: | 19,042 |
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 > 2894396 ### Cardinality: 11101111000111011100111 | 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 > 2894396 ### Cardinality: | 7,835,367 |
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 < 1732 ### Cardinality: 101000010010111111100 | 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 < 1732 ### Cardinality: | 1,320,444 |
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 > 2005 AND ci.person_id > 663925 AND ci.role_id < 5 ### Cardinality: 100010100000000101100001 | 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 > 2005 AND ci.person_id > 663925 AND ci.role_id < 5 ### Cardinality: | 9,044,321 |
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 ci.person_id = 1128035 AND ci.role_id > 4 ### Cardinality: 1011 | 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 ci.person_id = 1128035 AND ci.role_id > 4 ### Cardinality: | 11 |
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 t.production_year > 1999 AND mi_idx.info_type_id > 100 ### Cardinality: 101101111001100101100 | 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 t.production_year > 1999 AND mi_idx.info_type_id > 100 ### Cardinality: | 1,504,044 |
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 < 1977 AND mk.keyword_id > 1517 ### Cardinality: 10110101110000000110011 | 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 < 1977 AND mk.keyword_id > 1517 ### Cardinality: | 5,955,635 |
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.production_year = 1978 AND mi.info_type_id = 3 ### Cardinality: 1111001110111 | 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.production_year = 1978 AND mi.info_type_id = 3 ### Cardinality: | 7,799 |
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 = 4354 ### Cardinality: 10100100 | 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 = 4354 ### Cardinality: | 164 |
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 < 1999 AND mk.keyword_id > 7441 ### Cardinality: 111100011011101111 | 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 < 1999 AND mk.keyword_id > 7441 ### Cardinality: | 247,535 |
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 > 2772129 AND ci.role_id > 3 ### Cardinality: 11100010010001000111101 | 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 > 2772129 AND ci.role_id > 3 ### Cardinality: | 7,414,333 |
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 < 2251656 AND ci.role_id > 2 ### Cardinality: 10100111001100110001001 | 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 < 2251656 AND ci.role_id > 2 ### Cardinality: | 5,478,793 |
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.production_year = 2012 AND mc.company_type_id < 2 ### Cardinality: 1000001001011011101000 | 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.production_year = 2012 AND mc.company_type_id < 2 ### Cardinality: | 2,135,784 |
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 > 2011 AND mk.keyword_id < 19805 ### Cardinality: 111011110101000 | 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 > 2011 AND mk.keyword_id < 19805 ### Cardinality: | 30,632 |
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 < 7105 ### Cardinality: 1001111111101000001010 | 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 < 7105 ### Cardinality: | 2,619,914 |
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 > 2011 ### Cardinality: 1110100010101001000 | 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 > 2011 ### Cardinality: | 476,488 |
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 > 3667 ### Cardinality: 1001010110000110010010 | 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 > 3667 ### Cardinality: | 2,449,810 |
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 < 90276 AND mc.company_type_id = 1 ### Cardinality: 100110111000110000110 | 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 < 90276 AND mc.company_type_id = 1 ### Cardinality: | 1,274,246 |
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 > 1960 AND ci.role_id > 1 ### Cardinality: 1010011101000011110101101 | 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 > 1960 AND ci.role_id > 1 ### Cardinality: | 21,923,757 |
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 < 2003 AND mi.info_type_id < 7 ### Cardinality: 10100110110001001010 | 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 < 2003 AND mi.info_type_id < 7 ### Cardinality: | 683,082 |
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 > 1999 AND mi.info_type_id > 4 ### Cardinality: 11100001101110000001111 | 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 > 1999 AND mi.info_type_id > 4 ### Cardinality: | 7,396,367 |
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 = 1995 AND ci.person_id < 2735711 ### Cardinality: 10101010010000010111000 | 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 = 1995 AND ci.person_id < 2735711 ### Cardinality: | 5,578,936 |
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 = 2021 ### Cardinality: 100011000 | 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 = 2021 ### Cardinality: | 280 |
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 < 3 AND t.production_year > 2011 AND mk.keyword_id = 12836 ### Cardinality: 101 | 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 < 3 AND t.production_year > 2011 AND mk.keyword_id = 12836 ### Cardinality: | 5 |
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 > 2000 AND mi.info_type_id = 16 AND mi_idx.info_type_id = 100 ### Cardinality: 1011110100101100011 | 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 > 2000 AND mi.info_type_id = 16 AND mi_idx.info_type_id = 100 ### Cardinality: | 387,427 |
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 = 1991 ### Cardinality: 110100001100001011 | 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 = 1991 ### Cardinality: | 213,771 |
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 = 3966 ### Cardinality: 11 | 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 = 3966 ### Cardinality: | 3 |
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 > 1 AND t.production_year = 1999 ### Cardinality: 100111100100011 | 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 > 1 AND t.production_year = 1999 ### Cardinality: | 20,259 |
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 < 1989 AND mk.keyword_id = 77599 ### Cardinality: 10101110 | 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 < 1989 AND mk.keyword_id = 77599 ### Cardinality: | 174 |
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 = 3 AND ci.person_id < 3928489 AND ci.role_id > 2 ### Cardinality: 100111111110010111111 | 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 = 3 AND ci.person_id < 3928489 AND ci.role_id > 2 ### Cardinality: | 1,309,887 |
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 < 20151 AND mc.company_type_id < 2 ### Cardinality: 100010110111010000111 | 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 < 20151 AND mc.company_type_id < 2 ### Cardinality: | 1,142,407 |
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 = 1 AND t.production_year > 1975 ### Cardinality: 1100010100100010010 | 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 = 1 AND t.production_year > 1975 ### Cardinality: | 403,730 |
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 > 1239365 AND ci.role_id < 2 ### Cardinality: 1101101010101110100011 | 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 > 1239365 AND ci.role_id < 2 ### Cardinality: | 3,582,883 |
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 = 7879 AND mc.company_type_id > 1 ### Cardinality: 110011110 | 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 = 7879 AND mc.company_type_id > 1 ### Cardinality: | 414 |
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 > 1994 AND ci.person_id < 3509674 AND ci.role_id = 3 ### Cardinality: 1000001010101101010001 | 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 > 1994 AND ci.person_id < 3509674 AND ci.role_id = 3 ### Cardinality: | 2,141,009 |
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 t.production_year = 2007 AND mi.info_type_id = 2 ### Cardinality: 1110111111001100 | 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 t.production_year = 2007 AND mi.info_type_id = 2 ### Cardinality: | 61,388 |
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 = 2 AND mk.keyword_id = 38331 ### 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 = 2 AND mk.keyword_id = 38331 ### Cardinality: | 1 |
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 t.production_year < 2010 ### Cardinality: 1000000100001011111101110 | 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 t.production_year < 2010 ### Cardinality: | 16,914,414 |
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 < 2001 AND mc.company_id > 6881 AND mc.company_type_id = 2 ### Cardinality: 1100001000001000010 | 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 < 2001 AND mc.company_id > 6881 AND mc.company_type_id = 2 ### Cardinality: | 397,378 |
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 = 2522656 ### Cardinality: 1 | 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 = 2522656 ### 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.production_year = 2008 AND mk.keyword_id > 2402 ### Cardinality: 100000011011101001 | 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.production_year = 2008 AND mk.keyword_id > 2402 ### Cardinality: | 132,841 |
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 mc.company_id > 5893 AND mi.info_type_id < 16 ### Cardinality: 1001101011000000000010001 | 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 mc.company_id > 5893 AND mi.info_type_id < 16 ### Cardinality: | 20,283,409 |
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 < 7 AND t.production_year > 2007 AND ci.person_id < 748190 AND ci.role_id > 1 ### Cardinality: 1001100101101011010 | 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 < 7 AND t.production_year > 2007 AND ci.person_id < 748190 AND ci.role_id > 1 ### Cardinality: | 314,202 |
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 > 6401 AND mc.company_type_id = 2 ### Cardinality: 11110101001011001101 | 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 > 6401 AND mc.company_type_id = 2 ### Cardinality: | 1,004,237 |
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 = 161093 ### Cardinality: 1 | 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 = 161093 ### Cardinality: | 1 |
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 > 1996 AND mc.company_type_id = 1 AND mi.info_type_id < 16 ### Cardinality: 101110101110011011111001 | 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 > 1996 AND mc.company_type_id = 1 AND mi.info_type_id < 16 ### Cardinality: | 12,248,825 |
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 < 1886 AND mc.company_type_id > 1 ### Cardinality: 111001001101101010 | 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 < 1886 AND mc.company_type_id > 1 ### Cardinality: | 234,346 |
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 < 236 ### Cardinality: 1000101010011000111 | 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 < 236 ### Cardinality: | 283,847 |
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 = 3012178 ### Cardinality: 11000001 | 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 = 3012178 ### Cardinality: | 193 |
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 t.production_year = 2007 AND mk.keyword_id < 1060 ### Cardinality: 110101101101110010111 | 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 t.production_year = 2007 AND mk.keyword_id < 1060 ### Cardinality: | 1,760,151 |
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 = 27 AND mc.company_type_id < 2 ### Cardinality: 11001000100001 | 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 = 27 AND mc.company_type_id < 2 ### Cardinality: | 12,833 |
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 ci.person_id < 1596733 ### Cardinality: 11010010100000100000110 | 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 ci.person_id < 1596733 ### Cardinality: | 6,897,926 |
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 < 93 AND mc.company_type_id > 1 ### Cardinality: 101001100101010001 | 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 < 93 AND mc.company_type_id > 1 ### Cardinality: | 170,321 |
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 > 1071 ### Cardinality: 1101001011100110011100 | 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 > 1071 ### Cardinality: | 3,455,388 |
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 = 2004 AND mc.company_id > 4957 ### Cardinality: 101010000001011000000 | 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 = 2004 AND mc.company_id > 4957 ### Cardinality: | 1,376,960 |
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 < 782396 AND ci.role_id > 10 AND mk.keyword_id > 116397 ### Cardinality: 100011100011 | 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 < 782396 AND ci.role_id > 10 AND mk.keyword_id > 116397 ### Cardinality: | 2,275 |
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.kind_id > 1 ### Cardinality: 1000011000101011101010000011 | 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.kind_id > 1 ### Cardinality: | 140,688,003 |
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 > 2523 ### Cardinality: 1010111100011010011001 | 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 > 2523 ### Cardinality: | 2,868,889 |
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 = 3734 ### Cardinality: 1110001101 | 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 = 3734 ### Cardinality: | 909 |
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 = 1957 AND mi.info_type_id < 8 ### Cardinality: 11111100010100011 | 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 = 1957 AND mi.info_type_id < 8 ### Cardinality: | 129,187 |
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 t.kind_id < 7 AND t.production_year = 1957 AND mi_idx.info_type_id = 101 ### Cardinality: 11101111001100 | 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 t.kind_id < 7 AND t.production_year = 1957 AND mi_idx.info_type_id = 101 ### Cardinality: | 15,308 |
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.kind_id = 7 AND t.production_year < 2010 AND ci.person_id > 757154 AND mi.info_type_id < 94 ### Cardinality: 11001101111101110000001101 | 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.kind_id = 7 AND t.production_year < 2010 AND ci.person_id > 757154 AND mi.info_type_id < 94 ### Cardinality: | 53,992,461 |
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 < 6 AND t.production_year > 1988 AND mi.info_type_id = 7 AND mi_idx.info_type_id < 100 ### Cardinality: 110101011101110101 | 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 < 6 AND t.production_year > 1988 AND mi.info_type_id = 7 AND mi_idx.info_type_id < 100 ### Cardinality: | 218,997 |
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 < 4 AND t.production_year < 2010 AND mk.keyword_id = 1 ### Cardinality: 1000100001001011 | 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 < 4 AND t.production_year < 2010 AND mk.keyword_id = 1 ### Cardinality: | 34,891 |
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 = 36204 ### 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 = 36204 ### Cardinality: | 4 |
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 < 582903 ### Cardinality: 10111000000111110000000 | 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 < 582903 ### Cardinality: | 6,033,280 |
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.production_year < 1910 AND mk.keyword_id < 3337 ### Cardinality: 110010010100 | 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.production_year < 1910 AND mk.keyword_id < 3337 ### Cardinality: | 3,220 |
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 < 2005 ### Cardinality: 1101000011001010000111 | 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 < 2005 ### Cardinality: | 3,420,807 |
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 < 2013 AND mc.company_id < 529 ### Cardinality: 1100001011011011001000 | 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 < 2013 AND mc.company_id < 529 ### Cardinality: | 3,192,520 |
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 t.production_year > 2000 AND ci.person_id < 1477507 AND ci.role_id > 3 ### Cardinality: 1001010110110000010101 | 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 t.production_year > 2000 AND ci.person_id < 1477507 AND ci.role_id > 3 ### Cardinality: | 2,452,501 |
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