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Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info_idx mi_idx WHERE t.id=mi_idx.movie_id AND t.kind_id = 7 AND mi_idx.info_type_id > 99 ### Cardinality: 1000101010010100100 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t WHERE t.production_year > 2004 ### Cardinality: 100001110011111010101 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_info mi WHERE mi.info_type_id < 4 ### Cardinality: 1101110101000000010001 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc WHERE t.id=mc.movie_id AND mc.company_id < 27 ### Cardinality: 100000111010010111 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_keyword mk WHERE mk.keyword_id < 55 ### Cardinality: 1101011000101010 |
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 WHERE t.id=mc.movie_id AND t.id=mi.movie_id AND t.production_year > 1977 AND mc.company_id > 71403 AND mi.info_type_id < 4 ### Cardinality: 100011110010100011010 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_keyword mk WHERE mk.keyword_id < 35049 ### Cardinality: 1111010010010011001111 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc WHERE t.id=mc.movie_id ### Cardinality: 1001111100111111101001 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_info_idx mi_idx WHERE mi_idx.info_type_id > 99 ### Cardinality: 11100000101000101110 |
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 WHERE t.id=mi.movie_id AND t.id=mi_idx.movie_id AND mi.info_type_id > 16 AND mi_idx.info_type_id = 100 ### Cardinality: 110000111100101101010 |
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 WHERE t.id=ci.movie_id AND t.id=mk.movie_id AND ci.person_id = 890821 AND ci.role_id = 1 AND mk.keyword_id > 3624 ### Cardinality: 10 |
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 WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND t.production_year > 2010 AND mi.info_type_id < 16 ### Cardinality: 10100010100101100110111 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info_idx mi_idx WHERE t.id=mi_idx.movie_id AND t.production_year < 2010 AND mi_idx.info_type_id = 101 ### Cardinality: 1100000101000011010 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT cast_info ci WHERE ci.role_id = 10 ### Cardinality: 10000011111011011001010 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci WHERE t.id=ci.movie_id AND t.kind_id > 1 ### Cardinality: 1100010100110011011111101 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_info mi WHERE mi.info_type_id = 3 ### Cardinality: 101110110011111010101 |
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 WHERE t.id=mi.movie_id AND t.id=mi_idx.movie_id AND t.production_year > 2003 AND mi.info_type_id = 16 ### Cardinality: 110000111101011110100 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_info mi WHERE mi.info_type_id > 16 ### Cardinality: 1000100001010111111010 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_info mi WHERE mi.info_type_id < 16 ### Cardinality: 100100011111001111011111 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_keyword mk WHERE mk.keyword_id = 18559 ### Cardinality: 1001010 |
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 WHERE t.id=ci.movie_id AND t.id=mi_idx.movie_id ### Cardinality: 10011100000100001101111101 |
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 WHERE t.id=mc.movie_id AND t.id=mi.movie_id AND mi.info_type_id < 4 ### Cardinality: 11101100000111000101110 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_keyword mk WHERE t.id=mk.movie_id AND t.production_year < 2007 AND mk.keyword_id > 60992 ### Cardinality: 101100110110110101 |
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 WHERE t.id=ci.movie_id AND t.id=mi.movie_id AND t.kind_id = 7 AND t.production_year > 1998 AND mi.info_type_id < 15 ### Cardinality: 1001111101101011100000111 |
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 WHERE t.id=ci.movie_id AND t.id=mi_idx.movie_id AND ci.person_id > 761742 AND ci.role_id = 3 ### Cardinality: 1110011101100110001101 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_info_idx mi_idx WHERE mi_idx.info_type_id < 101 ### Cardinality: 11100000100100101010 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc WHERE t.id=mc.movie_id AND t.kind_id > 1 AND t.production_year < 2010 AND mc.company_type_id < 2 ### Cardinality: 1111011001000010001 |
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 WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND t.kind_id < 7 AND t.production_year > 2000 ### Cardinality: 110011001001011011100110001 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_keyword mk WHERE t.id=mk.movie_id AND mk.keyword_id = 20450 ### Cardinality: 1111011 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_info mi WHERE mi.info_type_id < 98 ### Cardinality: 110101010001000011101000 |
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 WHERE t.id=mc.movie_id AND t.id=mi_idx.movie_id AND mc.company_type_id = 2 ### Cardinality: 110101100000100111011 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi WHERE t.id=mi.movie_id AND mi.info_type_id > 98 ### Cardinality: 10000100101010000111 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi WHERE t.id=mi.movie_id AND t.production_year < 1999 ### Cardinality: 11011100000111100101100 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci WHERE t.id=ci.movie_id AND t.kind_id = 7 AND t.production_year = 1992 AND ci.person_id > 2415257 AND ci.role_id < 3 ### Cardinality: 11010101101000 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_info_idx mi_idx WHERE mi_idx.info_type_id = 101 ### Cardinality: 1110000010010010101 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi WHERE t.id=mi.movie_id AND t.kind_id = 1 AND t.production_year = 1993 AND mi.info_type_id > 3 ### Cardinality: 1101111010011111 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_companies mc WHERE mc.company_type_id < 2 ### Cardinality: 100110111000110000110 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_keyword mk WHERE t.id=mk.movie_id AND mk.keyword_id > 11868 ### Cardinality: 101010111110101101100 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_companies mc WHERE mc.company_id > 312 AND mc.company_type_id = 2 ### Cardinality: 100101100101101010000 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_keyword mk WHERE mk.keyword_id > 5071 ### Cardinality: 1000011001001101001101 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_info_idx mi_idx WHERE mi_idx.info_type_id < 100 ### Cardinality: 1110000010010010101 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_info_idx mi_idx WHERE mi_idx.info_type_id = 100 ### Cardinality: 1110000010010010101 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_keyword mk WHERE t.id=mk.movie_id AND t.production_year < 2001 ### Cardinality: 1001101001100100111000 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT cast_info ci WHERE ci.person_id > 1423339 ### Cardinality: 1010011001000001101111010 |
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 WHERE t.id=mi.movie_id AND t.id=mk.movie_id ### Cardinality: 1110000010000011101100000001 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_info mi WHERE mi.info_type_id = 7 ### Cardinality: 101010110010000101110 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_keyword mk WHERE mk.keyword_id < 3639 ### Cardinality: 111110001000111100100 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi WHERE t.id=mi.movie_id AND t.production_year = 1913 AND mi.info_type_id = 7 ### Cardinality: 1001101001000011 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t WHERE t.production_year = 1993 ### Cardinality: 110100010010111 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t WHERE t.kind_id > 3 ### Cardinality: 110011000101101110010 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT cast_info ci WHERE ci.role_id > 2 ### Cardinality: 111101011111111101010011 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi WHERE t.id=mi.movie_id AND mi.info_type_id < 5 ### Cardinality: 10010110010001000111110 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_keyword mk WHERE t.id=mk.movie_id AND t.kind_id > 4 AND mk.keyword_id = 5889 ### Cardinality: 1011110 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info_idx mi_idx WHERE t.id=mi_idx.movie_id AND t.kind_id = 7 ### Cardinality: 1100111111011110110 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT cast_info ci WHERE ci.role_id = 3 ### Cardinality: 1111010010100001100101 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT cast_info ci WHERE ci.person_id < 1700496 ### Cardinality: 1000001101011001001010011 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc WHERE t.id=mc.movie_id AND t.kind_id > 1 AND t.production_year < 2002 ### Cardinality: 10011010101001010110 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_keyword mk WHERE t.id=mk.movie_id AND t.kind_id = 7 AND t.production_year > 2011 ### Cardinality: 1001101011101111 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info_idx mi_idx WHERE t.id=mi_idx.movie_id AND t.kind_id < 4 AND t.production_year > 2001 ### Cardinality: 1010110100111100111 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_keyword mk WHERE mk.keyword_id > 2758 ### Cardinality: 1010101101011000001011 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_keyword mk WHERE mk.keyword_id > 430 ### Cardinality: 1110111111101110101100 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_keyword mk WHERE mk.keyword_id < 15518 ### Cardinality: 1100101101001101010001 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t WHERE t.production_year < 2012 ### Cardinality: 1000011111000110111001 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t WHERE t.kind_id = 7 AND t.production_year > 2011 ### Cardinality: 100100110010000011 |
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 WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND mk.keyword_id < 6258 ### Cardinality: 111100000000111110110010011 |
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 WHERE t.id=mc.movie_id AND t.id=mk.movie_id AND t.production_year < 2011 AND mc.company_id > 1700 AND mk.keyword_id < 746 ### Cardinality: 1101001110111100110001 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info_idx mi_idx WHERE t.id=mi_idx.movie_id AND mi_idx.info_type_id > 101 ### Cardinality: 100000100 |
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 WHERE t.id=mc.movie_id AND t.id=mk.movie_id AND t.production_year < 2005 AND mk.keyword_id > 807 ### Cardinality: 1001001110101001110110011 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_companies mc WHERE mc.company_id < 95839 ### Cardinality: 1000111000010111110111 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t WHERE t.kind_id = 1 ### Cardinality: 10100001110100101001 |
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 WHERE t.id=ci.movie_id AND t.id=mk.movie_id AND t.kind_id < 7 AND t.production_year = 2003 AND ci.person_id < 3759296 AND ci.role_id = 10 ### Cardinality: 110011001111101100100 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT cast_info ci WHERE ci.role_id = 1 ### Cardinality: 110000010101011011100000 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_keyword mk WHERE mk.keyword_id < 865 ### Cardinality: 11011101001100011110 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_keyword mk WHERE mk.keyword_id = 73864 ### Cardinality: 1111 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci WHERE t.id=ci.movie_id AND t.kind_id < 7 AND t.production_year < 2009 AND ci.person_id < 1384789 AND ci.role_id > 1 ### Cardinality: 100100010100000010001 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi WHERE t.id=mi.movie_id AND t.production_year = 2008 ### Cardinality: 10011010100100101110 |
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 WHERE t.id=ci.movie_id AND t.id=mi.movie_id AND t.production_year < 1981 AND ci.person_id > 3447372 AND ci.role_id < 10 AND mi.info_type_id > 3 ### Cardinality: 100000001000000000111 |
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 WHERE t.id=ci.movie_id AND t.id=mi_idx.movie_id AND ci.role_id > 3 ### Cardinality: 111000101011101100111110 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci WHERE t.id=ci.movie_id ### Cardinality: 10001010010000101101111000 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi WHERE t.id=mi.movie_id AND t.production_year < 2002 ### Cardinality: 11110111101100110011001 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi WHERE t.id=mi.movie_id AND t.production_year > 2002 ### Cardinality: 11000000011101101011100 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_companies mc WHERE mc.company_id < 21 AND mc.company_type_id < 2 ### Cardinality: 11010101010000001 |
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 WHERE t.id=mc.movie_id AND t.id=mk.movie_id AND t.kind_id = 7 AND t.production_year < 2013 AND mc.company_type_id = 1 ### Cardinality: 11010111111111001010 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi WHERE t.id=mi.movie_id AND t.production_year > 2010 ### Cardinality: 110100101100000111011 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_info mi WHERE mi.info_type_id = 4 ### Cardinality: 100111101001000101101 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_keyword mk WHERE t.id=mk.movie_id AND t.kind_id > 1 AND t.production_year = 2011 ### Cardinality: 10001000001011011 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t WHERE t.production_year > 2010 ### Cardinality: 1011111100111110010 |
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 WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND t.kind_id = 7 AND t.production_year < 1983 AND mi.info_type_id = 18 ### Cardinality: 11001000001000110 |
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 WHERE t.id=mc.movie_id AND t.id=ci.movie_id AND t.production_year > 1958 ### Cardinality: 100010101001101000010110001 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info_idx mi_idx WHERE t.id=mi_idx.movie_id AND t.production_year < 2011 AND mi_idx.info_type_id < 101 ### Cardinality: 11001011001000110110 |
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 WHERE t.id=mc.movie_id AND t.id=mi.movie_id AND t.kind_id = 7 AND mc.company_type_id > 1 ### Cardinality: 1011011101010100110110 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t WHERE t.production_year < 1999 ### Cardinality: 11101101000110110100 |
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 WHERE t.id=mc.movie_id AND t.id=mi_idx.movie_id AND mc.company_id = 133 AND mc.company_type_id = 1 ### Cardinality: 10110101111 |
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 WHERE t.id=ci.movie_id AND t.id=mk.movie_id AND ci.person_id > 3028889 AND mk.keyword_id = 6079 ### Cardinality: 11000000000 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_info mi WHERE mi.info_type_id < 18 ### Cardinality: 110001011110100001101000 |
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 WHERE t.id=mi.movie_id AND t.id=mi_idx.movie_id AND mi.info_type_id = 3 ### Cardinality: 110010000001110011111 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_info mi WHERE mi.info_type_id = 5 ### Cardinality: 1110110110010011010 |
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 WHERE t.id=mc.movie_id AND t.id=mi_idx.movie_id AND t.kind_id < 7 AND t.production_year < 1995 AND mc.company_id > 93251 AND mc.company_type_id = 2 ### Cardinality: 100110101000110001 |
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 WHERE t.id=ci.movie_id AND t.id=mk.movie_id AND ci.role_id > 5 AND mk.keyword_id > 21497 ### Cardinality: 110110100000000100010010 |
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 WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND t.kind_id = 7 AND t.production_year > 2009 AND mi.info_type_id < 73 AND mk.keyword_id > 5346 ### Cardinality: 10000101100001110100 |
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