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 cast_info ci FROM T WHERE ci.person_id > 161033 ### Cardinality: 10000100000110010000100001 | 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 > 161033 ### Cardinality: | 34,628,641 |
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 = 1999 AND mc.company_id < 11205 ### Cardinality: 1101000111110110101 | 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 = 1999 AND mc.company_id < 11205 ### Cardinality: | 430,005 |
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 < 2004 AND mc.company_id = 10583 ### Cardinality: 100001001111 | 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 < 2004 AND mc.company_id = 10583 ### Cardinality: | 2,127 |
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 = 1966 AND mi.info_type_id > 16 ### Cardinality: 10011101001001 | 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 = 1966 AND mi.info_type_id > 16 ### Cardinality: | 10,057 |
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 < 1934 ### Cardinality: 11110100110101011 | 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 < 1934 ### Cardinality: | 125,355 |
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 > 2003 AND ci.person_id < 1147844 AND ci.role_id = 10 ### Cardinality: 11010000100... | 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 > 2003 AND ci.person_id < 1147844 AND ci.role_id = 10 ### Cardinality: | 213,621 |
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 ci.person_id = 155187 AND ci.role_id < 10 ### Cardinality: 100 | 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 ci.person_id = 155187 AND ci.role_id < 10 ### Cardinality: | 4 |
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 = 2936 ### Cardinality: 1011100100 | 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 = 2936 ### Cardinality: | 740 |
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 > 37372 ### Cardinality: 1110100110010011110 | 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 > 37372 ### Cardinality: | 478,366 |
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 < 2006 AND mi_idx.info_type_id = 101 ### Cardinality: 11100010010110000101 | 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 < 2006 AND mi_idx.info_type_id = 101 ### Cardinality: | 927,109 |
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 < 1997 AND mi.info_type_id > 105 ### Cardinality: 1100100001101000 | 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 < 1997 AND mi.info_type_id > 105 ### Cardinality: | 51,304 |
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 = 100 AND mk.keyword_id > 15064 ### Cardinality: 11011010011101101000 | 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 = 100 AND mk.keyword_id > 15064 ### Cardinality: | 894,824 |
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 = 1 AND t.production_year > 1984 ### Cardinality: 10010010111101010011011 | 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 = 1 AND t.production_year > 1984 ### Cardinality: | 4,815,515 |
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 = 661577 ### Cardinality: 10110110 | 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 = 661577 ### Cardinality: | 182 |
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 > 4 AND mi_idx.info_type_id = 99 ### Cardinality: 100111010001101001000 | 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 > 4 AND mi_idx.info_type_id = 99 ### Cardinality: | 1,286,984 |
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 = 2007 AND mc.company_id = 352 AND mc.company_type_id = 1 AND mi_idx.info_type_id = 101 ### Ca... | 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 = 2007 AND mc.company_id = 352 AND mc.company_type_id = 1 AND mi_idx.info_type_id = 101 ### Ca... | 52 |
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 < 1980 AND ci.person_id < 3551944 AND ci.role_id > 5 ### Cardinality: 1010100010101000010 | 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 < 1980 AND ci.person_id < 3551944 AND ci.role_id > 5 ### Cardinality: | 345,410 |
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 > 2011 AND mi.info_type_id > 5 AND mi_idx.info_type_id < 101 ### Cardinality: 1010001110001101000 | 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 > 2011 AND mi.info_type_id > 5 AND mi_idx.info_type_id < 101 ### Cardinality: | 334,952 |
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 > 12080 ### Cardinality: 101010001100000011000 | 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 > 12080 ### Cardinality: | 1,382,424 |
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 < 6 AND t.production_year < 1934 AND mi.info_type_id > 6 ### Cardinality: 1010000001111111110101 | 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 < 6 AND t.production_year < 1934 AND mi.info_type_id > 6 ### Cardinality: | 2,629,621 |
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 mc.company_id > 103285 AND mc.company_type_id = 2 ### Cardinality: 1001001011001010111 | 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 mc.company_id > 103285 AND mc.company_type_id = 2 ### Cardinality: | 300,631 |
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 = 1997 AND mi.info_type_id = 4 AND mi_idx.info_type_id < 101 ### Cardinality: 110... | 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 = 1997 AND mi.info_type_id = 4 AND mi_idx.info_type_id < 101 ### Cardinality: | 6,558 |
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 < 7 AND t.production_year < 1970 AND mc.company_id < 2567 ### Cardinality: 1101000010011101010101 | 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 < 7 AND t.production_year < 1970 AND mc.company_id < 2567 ### Cardinality: | 3,417,941 |
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 = 998035 ### Cardinality: 100000 | 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 = 998035 ### Cardinality: | 32 |
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.person_id < 3968588 AND mi.info_type_id = 3 ### Cardinality: 1001101101111101111110 | 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.person_id < 3968588 AND mi.info_type_id = 3 ### Cardinality: | 2,547,582 |
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 < 13781 AND mc.company_type_id = 1 ### Cardinality: 11110111101111001001 | 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 < 13781 AND mc.company_type_id = 1 ### Cardinality: | 1,014,729 |
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 AND t.production_year = 1974 AND mi.info_type_id < 16 ### Cardinality: 11011111111100111101 | 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 AND t.production_year = 1974 AND mi.info_type_id < 16 ### Cardinality: | 917,309 |
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 = 13488 ### Cardinality: 1101001 | 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 = 13488 ### Cardinality: | 105 |
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 ci.person_id < 2151913 ### Cardinality: 101110010110000110000111 | 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 ci.person_id < 2151913 ### Cardinality: | 12,149,127 |
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 = 6 AND ci.person_id < 2907726 AND ci.role_id > 10 AND mk.keyword_id < 22128 ### Cardinality: 1110000101 | 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 = 6 AND ci.person_id < 2907726 AND ci.role_id > 10 AND mk.keyword_id < 22128 ### Cardinality: | 901 |
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 > 2551558 AND ci.role_id = 10 ### Cardinality: 1100110111001010111011 | 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 > 2551558 AND ci.role_id = 10 ### Cardinality: | 3,371,707 |
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 > 2770 AND mc.company_type_id = 2 ### Cardinality: 100000110100010101110 | 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 > 2770 AND mc.company_type_id = 2 ### Cardinality: | 1,075,374 |
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 ci.person_id > 3105480 AND mk.keyword_id = 786 ### Cardinality: 10101100 | 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 ci.person_id > 3105480 AND mk.keyword_id = 786 ### Cardinality: | 172 |
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 = 53066 ### Cardinality: 111 | 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 = 53066 ### Cardinality: | 7 |
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 < 1900 AND ci.person_id > 1249812 AND ci.role_id = 2 ### Cardinality: 110100000 | 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 < 1900 AND ci.person_id > 1249812 AND ci.role_id = 2 ### Cardinality: | 416 |
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 > 6941 ### Cardinality: 101110100110000010011 | 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 > 6941 ### Cardinality: | 1,526,803 |
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 > 2 AND t.production_year < 2006 AND mi.info_type_id = 16 AND mk.keyword_id < 836 ### Cardinality: 10000010011100011... | 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 > 2 AND t.production_year < 2006 AND mi.info_type_id = 16 AND mk.keyword_id < 836 ### Cardinality: | 267,151 |
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 = 11828 AND mc.company_type_id = 2 ### Cardinality: 1 | 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 = 11828 AND mc.company_type_id = 2 ### Cardinality: | 1 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t FROM T WHERE t.production_year = 1935 ### Cardinality: 100110100011 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t FROM T WHERE t.production_year = 1935 ### Cardinality: | 2,467 |
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 = 3287 ### Cardinality: 101101101110 | 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 = 3287 ### Cardinality: | 2,926 |
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 > 2257027 AND ci.role_id < 4 ### Cardinality: 10110100101111011000111 | 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 > 2257027 AND ci.role_id < 4 ### Cardinality: | 5,922,503 |
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 < 1962 AND mc.company_type_id = 2 ### Cardinality: 101000000010111100 | 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 < 1962 AND mc.company_type_id = 2 ### Cardinality: | 164,028 |
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 > 3402 ### Cardinality: 1001110011000000101111 | 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 > 3402 ### Cardinality: | 2,568,239 |
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 > 1948 ### Cardinality: 101010111110101100101111101 | 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 > 1948 ### Cardinality: | 90,134,909 |
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 = 19228 AND mc.company_type_id > 1 ### Cardinality: 10 | 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 = 19228 AND mc.company_type_id > 1 ### Cardinality: | 2 |
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 ci.person_id > 1567446 ### Cardinality: 1010100101011010101100100 | 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 ci.person_id > 1567446 ### Cardinality: | 22,197,604 |
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 > 2009 AND mk.keyword_id = 1203 ### Cardinality: 11000 | 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 > 2009 AND mk.keyword_id = 1203 ### Cardinality: | 24 |
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 > 4032 ### Cardinality: 1000101101110000111011110 | 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 > 4032 ### Cardinality: | 18,276,830 |
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 < 1997 AND ci.role_id > 10 ### Cardinality: 11100011011010011 | 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 < 1997 AND ci.role_id > 10 ### Cardinality: | 116,435 |
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 > 16299 ### Cardinality: 100001000110110011000 | 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 > 16299 ### Cardinality: | 1,084,824 |
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 < 1349806 AND ci.role_id > 2 ### Cardinality: 1110100000011001000100 | 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 < 1349806 AND ci.role_id > 2 ### Cardinality: | 3,802,692 |
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 < 2009 AND ci.role_id = 10 AND mk.keyword_id = 861 ### Cardinality: 10111000001 | 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 < 2009 AND ci.role_id = 10 AND mk.keyword_id = 861 ### Cardinality: | 1,473 |
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 = 7 AND t.production_year = 2010 AND mi.info_type_id > 18 ### Cardinality: 111001000110010 | 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 = 7 AND t.production_year = 2010 AND mi.info_type_id > 18 ### Cardinality: | 29,234 |
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 > 16407 ### Cardinality: 100000111001011110101 | 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 > 16407 ### Cardinality: | 1,078,005 |
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 > 1973 AND mc.company_id < 200133 AND mc.company_type_id < 2 ### Cardinality: 10010001111100010101000000 | 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 > 1973 AND mc.company_id < 200133 AND mc.company_type_id < 2 ### Cardinality: | 38,257,984 |
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 > 2012 AND mi_idx.info_type_id = 100 ### Cardinality: 11000110010011 | 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 > 2012 AND mi_idx.info_type_id = 100 ### Cardinality: | 12,691 |
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 mc.company_id < 92 AND mc.company_type_id > 1 ### Cardinality: 100011001111110010110 | 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 mc.company_id < 92 AND mc.company_type_id > 1 ### Cardinality: | 1,154,966 |
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 > 176716 ### Cardinality: 10001000111000011 | 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 > 176716 ### Cardinality: | 70,083 |
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 > 1695 AND mc.company_type_id < 2 ### Cardinality: 10110000011000110001 | 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 > 1695 AND mc.company_type_id < 2 ### Cardinality: | 722,481 |
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 < 270471 ### Cardinality: 1010101101011010001010 | 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 < 270471 ### Cardinality: | 2,807,434 |
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 < 2000 ### Cardinality: 10100001000111101001101 | 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 < 2000 ### Cardinality: | 5,279,565 |
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 > 5898 AND mc.company_type_id = 2 ### Cardinality: 11111000001011011101 | 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 > 5898 AND mc.company_type_id = 2 ### Cardinality: | 1,016,541 |
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 > 819 ### Cardinality: 1101111110001100001100 | 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 > 819 ### Cardinality: | 3,662,604 |
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 < 2003 ### Cardinality: 101110100100101101000 | 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 < 2003 ### Cardinality: | 1,526,120 |
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 < 7 AND mc.company_type_id = 1 AND mi_idx.info_type_id = 100 ### Cardinality: 10010110110100011010 | 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 < 7 AND mc.company_type_id = 1 AND mi_idx.info_type_id = 100 ### Cardinality: | 617,754 |
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 = 2002 AND mi.info_type_id > 1 ### Cardinality: 100010100010011011110000 | 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 = 2002 AND mi.info_type_id > 1 ### Cardinality: | 9,053,936 |
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 mc.company_id = 9353 AND ci.person_id < 1442374 AND ci.role_id < 8 ### Cardinality: 1100010100110 | 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 mc.company_id = 9353 AND ci.person_id < 1442374 AND ci.role_id < 8 ### Cardinality: | 6,310 |
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 < 1970 AND ci.person_id > 2872165 AND mi.info_type_id < 107 ### Cardinality: 100010101100011101011101 | 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 < 1970 AND ci.person_id > 2872165 AND mi.info_type_id < 107 ### Cardinality: | 9,095,005 |
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 ci.person_id < 1550706 AND ci.role_id > 1 ### Cardinality: 10101100010010001001100 | 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 ci.person_id < 1550706 AND ci.role_id > 1 ### Cardinality: | 5,645,388 |
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 AND mk.keyword_id = 2992 ### Cardinality: 10010101001 | 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 AND mk.keyword_id = 2992 ### Cardinality: | 1,193 |
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 < 1990 ### Cardinality: 11010111111110111 | 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 < 1990 ### Cardinality: | 110,583 |
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 > 1277141 ### Cardinality: 1011000111100110100111011 | 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 > 1277141 ### Cardinality: | 23,317,819 |
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 < 2 AND t.production_year < 1993 AND mc.company_id = 5427 AND mc.company_type_id = 1 ### Cardinality: ... | 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 < 2 AND t.production_year < 1993 AND mc.company_id = 5427 AND mc.company_type_id = 1 ### Cardinality: | 274 |
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 > 1995 AND mc.company_id < 554 AND mc.company_type_id = 1 ### Cardinality: 10101011010011111 | 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 > 1995 AND mc.company_id < 554 AND mc.company_type_id = 1 ### Cardinality: | 87,711 |
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 < 1999 AND ci.person_id < 3496818 AND ci.role_id > 1 ### Cardinality: 1101000010111100011000 | 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 < 1999 AND ci.person_id < 3496818 AND ci.role_id > 1 ### Cardinality: | 3,419,928 |
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 = 52470 ### Cardinality: 10100 | 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 = 52470 ### Cardinality: | 20 |
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 < 7 AND t.production_year > 1958 AND mc.company_id > 105907 AND mi.info_type_id > 54 ### Cardinality: 100011101110... | 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 < 7 AND t.production_year > 1958 AND mc.company_id > 105907 AND mi.info_type_id > 54 ### Cardinality: | 585,372 |
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 < 1148486 AND ci.role_id > 3 ### Cardinality: 1000111111011110111110 | 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 < 1148486 AND ci.role_id > 3 ### Cardinality: | 2,357,182 |
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 = 3143718 ### Cardinality: 1000001011 | 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 = 3143718 ### Cardinality: | 523 |
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 > 1987 ### Cardinality: 10010101011100111011 | 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 > 1987 ### Cardinality: | 612,155 |
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 < 2001 AND ci.role_id = 1 ### Cardinality: 10100111110110100110010101 | 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 < 2001 AND ci.role_id = 1 ### Cardinality: | 44,001,685 |
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 = 438 ### Cardinality: 101101000000 | 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 = 438 ### Cardinality: | 2,880 |
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 = 2007 AND mi_idx.info_type_id = 101 ### Cardinality: 1100101111011 | 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 = 2007 AND mi_idx.info_type_id = 101 ### Cardinality: | 6,523 |
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 > 1983 ### Cardinality: 110010111011011000011 | 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 > 1983 ### Cardinality: | 1,668,803 |
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 < 788897 AND ci.role_id < 8 ### Cardinality: 11011101001111000110101 | 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 < 788897 AND ci.role_id < 8 ### Cardinality: | 7,249,461 |
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 > 1969 ### Cardinality: 10001000000101000000001100 | 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 > 1969 ### Cardinality: | 35,672,076 |
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 > 2337 ### Cardinality: 1011010011011110101011 | 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 > 2337 ### Cardinality: | 2,963,371 |
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 = 1 AND t.production_year > 0 AND mi_idx.info_type_id > 99 ### Cardinality: 101111011100100011101000 | 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 = 1 AND t.production_year > 0 AND mi_idx.info_type_id > 99 ### Cardinality: | 12,437,736 |
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 < 2007 AND mi.info_type_id > 1 ### Cardinality: 100101101111010010001110 | 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 < 2007 AND mi.info_type_id > 1 ### Cardinality: | 9,893,006 |
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 > 2442486 AND ci.role_id > 2 ### Cardinality: 100111110010110111000011 | 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 > 2442486 AND ci.role_id > 2 ### Cardinality: | 10,431,939 |
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 = 2005 AND mi_idx.info_type_id > 101 ### Cardinality: 1011000110 | 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 = 2005 AND mi_idx.info_type_id > 101 ### Cardinality: | 710 |
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 > 1976 ### Cardinality: 110110111110000110111 | 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 > 1976 ### Cardinality: | 1,801,271 |
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 > 2004 AND ci.person_id > 3146075 AND ci.role_id > 3 ### Cardinality: 1011011100010010101001 | 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 > 2004 AND ci.person_id > 3146075 AND ci.role_id > 3 ### Cardinality: | 2,999,465 |
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 = 2 AND t.production_year < 1994 ### Cardinality: 110111001100010 | 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 = 2 AND t.production_year < 1994 ### Cardinality: | 28,258 |
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 = 7556 AND mc.company_type_id = 1 ### Cardinality: 10011011 | 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 = 7556 AND mc.company_type_id = 1 ### Cardinality: | 155 |
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 < 4 AND mi_idx.info_type_id = 99 ### Cardinality: 10100011101000001110101 | 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 < 4 AND mi_idx.info_type_id = 99 ### Cardinality: | 5,361,781 |
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 = 66845 AND mc.company_type_id > 1 ### Cardinality: 101 | 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 = 66845 AND mc.company_type_id > 1 ### Cardinality: | 5 |
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 < 70377 AND mc.company_type_id < 2 ### Cardinality: 100110110111101110101 | 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 < 70377 AND mc.company_type_id < 2 ### Cardinality: | 1,273,717 |
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 > 472391 AND ci.role_id < 2 ### Cardinality: 100010111010010010101011 | 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 > 472391 AND ci.role_id < 2 ### Cardinality: | 9,151,659 |
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 < 1558065 AND mi.info_type_id = 1 ### Cardinality: 11100010011110011011101 | 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 < 1558065 AND mi.info_type_id = 1 ### Cardinality: | 7,421,149 |
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