text stringlengths 165 379 | prompt stringlengths 152 355 | true_cardinality int64 1 460M |
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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 > 373638 ### Cardinality: 1001001000001110011110111 | 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 > 373638 ### Cardinality: | 19,143,927 |
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 = 6291 ### Cardinality: 10000100000 | 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 = 6291 ### Cardinality: | 1,056 |
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 t.production_year < 2010 AND mi_idx.info_type_id > 100 ### Cardinality: 11001101010100010110 | 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 t.production_year < 2010 AND mi_idx.info_type_id > 100 ### Cardinality: | 840,982 |
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 = 3691072 ### Cardinality: 111111000 | 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 = 3691072 ### Cardinality: | 504 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci FROM T WHERE t.id=ci.movie_id AND t.production_year < 2009 AND ci.person_id > 1153079 ### Cardinality: 111111111111111000101011 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci FROM T WHERE t.id=ci.movie_id AND t.production_year < 2009 AND ci.person_id > 1153079 ### Cardinality: | 16,776,747 |
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 = 232 ### Cardinality: 100101010010 | 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 = 232 ### Cardinality: | 2,386 |
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 = 1975 ### Cardinality: 1000001101100110 | 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 = 1975 ### Cardinality: | 33,638 |
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 < 3146463 AND ci.role_id < 3 ### Cardinality: 1001100110000110000100101 | 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 < 3146463 AND ci.role_id < 3 ### Cardinality: | 20,122,661 |
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 > 654 AND mc.company_type_id = 1 ### Cardinality: 11010000010101110011 | 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 > 654 AND mc.company_type_id = 1 ### Cardinality: | 853,363 |
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 = 2576 ### Cardinality: 11101000 | 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 = 2576 ### Cardinality: | 232 |
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 > 1691617 AND ci.role_id < 3 ### Cardinality: 11101101010101111110010 | 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 > 1691617 AND ci.role_id < 3 ### Cardinality: | 7,777,266 |
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 = 2009 AND mc.company_id = 626 ### Cardinality: 1011001 | 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 = 2009 AND mc.company_id = 626 ### Cardinality: | 89 |
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 < 2005 ### Cardinality: 110001000111100000000 | 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 < 2005 ### Cardinality: | 1,609,472 |
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 = 5809 AND mc.company_type_id > 1 AND ci.person_id > 1672992 ### Cardinality: 100000110 | 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 = 5809 AND mc.company_type_id > 1 AND ci.person_id > 1672992 ### Cardinality: | 262 |
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 mk.keyword_id < 15783 ### Cardinality: 10010011111010101010110 | 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 mk.keyword_id < 15783 ### Cardinality: | 4,846,934 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc,movie_info mi FROM T WHERE t.id=mc.movie_id AND t.id=mi.movie_id AND t.production_year = 2012 AND mc.company_id < 91513 AND mc.company_type_id = 1 ### Cardinality: 100101011010101001011 | 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 = 2012 AND mc.company_id < 91513 AND mc.company_type_id = 1 ### Cardinality: | 1,226,059 |
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 < 2005 AND mi.info_type_id < 2 ### Cardinality: 11100000110001010 | 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 < 2005 AND mi.info_type_id < 2 ### Cardinality: | 115,082 |
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 > 1995 AND mk.keyword_id = 31114 ### Cardinality: 11001010 | 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 > 1995 AND mk.keyword_id = 31114 ### Cardinality: | 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 t.kind_id < 7 AND mc.company_id = 21950 ### Cardinality: 100 | 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 = 21950 ### Cardinality: | 4 |
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 < 1964 ### Cardinality: 110011110111000001 | 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 < 1964 ### Cardinality: | 212,417 |
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 < 559241 ### Cardinality: 10110000000111101000100 | 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 < 559241 ### Cardinality: | 5,771,076 |
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 < 28339 AND mc.company_type_id = 1 ### Cardinality: 100100011100001111100 | 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 < 28339 AND mc.company_type_id = 1 ### Cardinality: | 1,194,108 |
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 = 1989 AND ci.role_id = 3 ### Cardinality: 100011010011111110 | 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 = 1989 AND ci.role_id = 3 ### Cardinality: | 144,638 |
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 < 250 ### Cardinality: 1100001000101010110 | 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 < 250 ### Cardinality: | 397,654 |
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 = 34856 ### Cardinality: 101010 | 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 = 34856 ### Cardinality: | 42 |
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 < 2879056 AND ci.role_id > 5 ### Cardinality: 1100100011110111011011 | 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 < 2879056 AND ci.role_id > 5 ### Cardinality: | 3,292,635 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi,movie_keyword mk FROM T WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND mk.keyword_id < 80987 ### Cardinality: 1101100101101111111110011001 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi,movie_keyword mk FROM T WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND mk.keyword_id < 80987 ### Cardinality: | 227,999,641 |
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 < 1946 AND mc.company_id = 11149 ### Cardinality: 1101101111101010 | 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 < 1946 AND mc.company_id = 11149 ### Cardinality: | 56,298 |
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 mi.info_type_id < 16 ### Cardinality: 111011100010001111000 | 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 mi.info_type_id < 16 ### Cardinality: | 1,950,840 |
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 < 3361163 AND ci.role_id > 8 ### Cardinality: 1001101111110110010110 | 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 < 3361163 AND ci.role_id > 8 ### Cardinality: | 2,555,286 |
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 < 7469 ### Cardinality: 10111011101101100100100 | 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 < 7469 ### Cardinality: | 6,150,948 |
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 > 457528 ### Cardinality: 1111000010001001001110001 | 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 > 457528 ### Cardinality: | 31,527,537 |
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 = 509780 AND ci.role_id < 8 ### Cardinality: 111010 | 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 = 509780 AND ci.role_id < 8 ### Cardinality: | 58 |
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 < 341388 ### Cardinality: 1101101000001000111011 | 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 < 341388 ### Cardinality: | 3,572,283 |
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 < 2012 AND ci.person_id > 3858625 AND ci.role_id > 3 ### Cardinality: 101011110100001000011 | 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 < 2012 AND ci.person_id > 3858625 AND ci.role_id > 3 ### Cardinality: | 1,435,715 |
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 < 2012 AND ci.person_id < 1373816 ### Cardinality: 11100110110110111101110 | 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 < 2012 AND ci.person_id < 1373816 ### Cardinality: | 7,564,782 |
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 > 2697615 AND ci.role_id < 5 ### Cardinality: 1101111011001111000111 | 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 > 2697615 AND ci.role_id < 5 ### Cardinality: | 3,650,503 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc,cast_info ci FROM T WHERE t.id=mc.movie_id AND t.id=ci.movie_id AND t.kind_id > 1 AND t.production_year < 1994 AND mc.company_id > 160 AND mc.company_type_id > 1 AND ci.role_id = 10 ### Cardinality: 1100110110011010010 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc,cast_info ci FROM T WHERE t.id=mc.movie_id AND t.id=ci.movie_id AND t.kind_id > 1 AND t.production_year < 1994 AND mc.company_id > 160 AND mc.company_type_id > 1 AND ci.role_id = 10 ### Cardinality: | 421,074 |
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 > 2005 ### Cardinality: 10100110100101110011 | 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 > 2005 ### Cardinality: | 682,355 |
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 t.production_year = 2006 AND mc.company_type_id = 2 ### Cardinality: 1111001110101011 | 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 t.production_year = 2006 AND mc.company_type_id = 2 ### Cardinality: | 62,379 |
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 < 94330 ### Cardinality: 1000110011110011110000 | 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 < 94330 ### Cardinality: | 2,309,360 |
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 = 4 AND ci.person_id > 1386071 AND ci.role_id > 1 ### Cardinality: 11010011001000110100001 | 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 = 4 AND ci.person_id > 1386071 AND ci.role_id > 1 ### Cardinality: | 6,918,561 |
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 < 2 AND t.production_year < 1999 AND mi.info_type_id > 7 ### Cardinality: 111010001110101000010 | 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 < 2 AND t.production_year < 1999 AND mi.info_type_id > 7 ### Cardinality: | 1,908,034 |
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 < 979 ### Cardinality: 10100001011101110111 | 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 < 979 ### Cardinality: | 661,367 |
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 < 21735 ### Cardinality: 1110000010011110010111 | 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 < 21735 ### Cardinality: | 3,680,151 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi FROM T WHERE t.id=mi.movie_id AND t.kind_id < 4 AND t.production_year = 2011 ### Cardinality: 1110011111100110110 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi FROM T WHERE t.id=mi.movie_id AND t.kind_id < 4 AND t.production_year = 2011 ### Cardinality: | 474,934 |
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 > 189360 ### Cardinality: 1100110111010100 | 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 > 189360 ### Cardinality: | 52,692 |
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 > 2586 ### Cardinality: 1010110110100111111111 | 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 > 2586 ### Cardinality: | 2,845,183 |
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 > 2003 ### Cardinality: 1000110101110101110001100 | 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 > 2003 ### Cardinality: | 18,541,452 |
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 < 2011 AND mi.info_type_id = 16 ### Cardinality: 101001011111011110100 | 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 < 2011 AND mi.info_type_id = 16 ### Cardinality: | 1,359,604 |
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 = 4 AND t.production_year < 1976 ### Cardinality: 101100000 | 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 = 4 AND t.production_year < 1976 ### Cardinality: | 352 |
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 < 2004 AND mc.company_id < 48054 AND mk.keyword_id > 3836 ### Cardinality: 101000110010000010110000 | 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 < 2004 AND mc.company_id < 48054 AND mk.keyword_id > 3836 ### Cardinality: | 10,690,736 |
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 = 71922 ### Cardinality: 11001000 | 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 = 71922 ### Cardinality: | 200 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info_idx mi_idx FROM T WHERE t.id=mi_idx.movie_id AND t.production_year < 2005 AND mi_idx.info_type_id = 100 ### Cardinality: 1001000100000110001 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info_idx mi_idx FROM T WHERE t.id=mi_idx.movie_id AND t.production_year < 2005 AND mi_idx.info_type_id = 100 ### Cardinality: | 297,009 |
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 < 3022706 AND ci.role_id = 1 ### Cardinality: 110000010101011011100000 | 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 < 3022706 AND ci.role_id = 1 ### Cardinality: | 12,670,688 |
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 mi.info_type_id = 15 ### Cardinality: 10101110100100111111111 | 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 mi.info_type_id = 15 ### Cardinality: | 5,720,575 |
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 > 2225 AND mc.company_type_id < 2 ### Cardinality: 10100101100011001100 | 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 > 2225 AND mc.company_type_id < 2 ### Cardinality: | 678,092 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT cast_info ci FROM T WHERE ci.person_id < 2828414 ### Cardinality: 1101001011101010011000001 | 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 < 2828414 ### Cardinality: | 27,645,121 |
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 > 91265 ### Cardinality: 10001000011011101 | 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 > 91265 ### Cardinality: | 69,853 |
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 > 433726 AND ci.role_id < 2 ### Cardinality: 11001100100011010101100000 | 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 > 433726 AND ci.role_id < 2 ### Cardinality: | 53,622,112 |
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 > 1408992 AND ci.role_id = 1 ### Cardinality: 1000111011010000001101 | 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 > 1408992 AND ci.role_id = 1 ### Cardinality: | 2,339,853 |
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 < 1978 AND mk.keyword_id = 135 ### Cardinality: 1000010 | 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 < 1978 AND mk.keyword_id = 135 ### Cardinality: | 66 |
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 > 4 AND t.production_year < 1983 AND mi.info_type_id > 7 AND mk.keyword_id = 3361 ### Cardinality: 101111 | 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 > 4 AND t.production_year < 1983 AND mi.info_type_id > 7 AND mk.keyword_id = 3361 ### Cardinality: | 47 |
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 > 707014 ### Cardinality: 1101110010110101000101100 | 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 > 707014 ### Cardinality: | 28,928,556 |
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 mi_idx.info_type_id = 100 AND mk.keyword_id < 1433 ### Cardinality: 11000010011100100101 | 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 mi_idx.info_type_id = 100 AND mk.keyword_id < 1433 ### Cardinality: | 796,453 |
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 > 3 AND t.production_year > 2012 ### Cardinality: 11101100111110 | 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 > 3 AND t.production_year > 2012 ### Cardinality: | 15,166 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci FROM T WHERE t.id=ci.movie_id AND t.production_year > 2010 AND ci.person_id > 1769139 AND ci.role_id < 10 ### Cardinality: 1001100010101101111011 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci FROM T WHERE t.id=ci.movie_id AND t.production_year > 2010 AND ci.person_id > 1769139 AND ci.role_id < 10 ### Cardinality: | 2,501,499 |
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 > 2003 AND mk.keyword_id < 24146 ### Cardinality: 10010110101010100011 | 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 > 2003 AND mk.keyword_id < 24146 ### Cardinality: | 617,123 |
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 < 2004 AND ci.person_id = 1174724 ### Cardinality: 1000000100 | 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 < 2004 AND ci.person_id = 1174724 ### Cardinality: | 516 |
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 > 1554127 ### Cardinality: 1001110001111001110001111 | 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 > 1554127 ### Cardinality: | 20,509,583 |
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 > 42599 ### Cardinality: 1100011010100011010 | 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 > 42599 ### Cardinality: | 406,810 |
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 = 36685 ### Cardinality: 10110 | 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 = 36685 ### Cardinality: | 22 |
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 t.production_year = 2013 AND mk.keyword_id < 840 ### Cardinality: 100101000101 | 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 t.production_year = 2013 AND mk.keyword_id < 840 ### Cardinality: | 2,373 |
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 < 3184258 AND ci.role_id < 5 ### Cardinality: 1101100110001101110001111 | 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 < 3184258 AND ci.role_id < 5 ### Cardinality: | 28,515,215 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci FROM T WHERE t.id=ci.movie_id AND t.kind_id < 3 AND t.production_year > 1987 AND ci.person_id = 482273 AND ci.role_id < 2 ### Cardinality: 10001 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci FROM T WHERE t.id=ci.movie_id AND t.kind_id < 3 AND t.production_year > 1987 AND ci.person_id = 482273 AND ci.role_id < 2 ### Cardinality: | 17 |
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 = 1927 ### Cardinality: 101101101000010 | 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 = 1927 ### Cardinality: | 23,362 |
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 > 3 AND t.production_year < 1996 ### Cardinality: 1100111111001111010 | 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 > 3 AND t.production_year < 1996 ### Cardinality: | 425,594 |
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 < 1319390 ### Cardinality: 110011000001110101101001 | 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 < 1319390 ### Cardinality: | 13,376,873 |
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 < 1962 ### Cardinality: 1100101110001010100110100 | 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 < 1962 ### Cardinality: | 26,678,580 |
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 < 1925 ### Cardinality: 100111000101111 | 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 < 1925 ### Cardinality: | 20,015 |
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 mi_idx.info_type_id < 101 ### Cardinality: 1100111101100001110 | 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 mi_idx.info_type_id < 101 ### Cardinality: | 424,718 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi FROM T WHERE t.id=mi.movie_id AND t.kind_id = 4 AND mi.info_type_id < 8 ### Cardinality: 10000111100000100101 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi FROM T WHERE t.id=mi.movie_id AND t.kind_id = 4 AND mi.info_type_id < 8 ### Cardinality: | 555,045 |
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 < 27844 ### Cardinality: 1110101100000011110011 | 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 < 27844 ### Cardinality: | 3,850,483 |
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 > 704566 ### Cardinality: 1101110011100100010001100 | 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 > 704566 ### Cardinality: | 28,952,716 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi FROM T WHERE t.id=mi.movie_id AND t.kind_id = 4 AND t.production_year < 1999 ### Cardinality: 101000000110111010 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi FROM T WHERE t.id=mi.movie_id AND t.kind_id = 4 AND t.production_year < 1999 ### Cardinality: | 164,282 |
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 > 1454 AND mc.company_type_id < 2 ### Cardinality: 1001010011 | 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 > 1454 AND mc.company_type_id < 2 ### Cardinality: | 595 |
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 > 149725 AND ci.role_id < 10 ### Cardinality: 1110011000111010000000011 | 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 > 149725 AND ci.role_id < 10 ### Cardinality: | 30,176,259 |
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 mc.company_id > 24845 AND mk.keyword_id < 1741 ### Cardinality: 110110101101101011110 | 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 > 24845 AND mk.keyword_id < 1741 ### Cardinality: | 1,792,862 |
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 > 2011 AND ci.person_id > 2569445 ### Cardinality: 100110110001110110101 | 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 > 2011 AND ci.person_id > 2569445 ### Cardinality: | 1,270,709 |
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 ci.person_id > 4025269 AND ci.role_id > 1 AND mi.info_type_id > 2 ### Cardinality: 1110101100011110111 | 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 ci.person_id > 4025269 AND ci.role_id > 1 AND mi.info_type_id > 2 ### Cardinality: | 481,527 |
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 > 33188 AND mc.company_type_id = 1 ### Cardinality: 1111010001010110 | 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 > 33188 AND mc.company_type_id = 1 ### Cardinality: | 62,550 |
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 < 16 ### Cardinality: 110000010010011100011101 | 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 < 16 ### Cardinality: | 12,658,461 |
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 = 2137 ### Cardinality: 101100010 | 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 = 2137 ### Cardinality: | 354 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc FROM T WHERE t.id=mc.movie_id AND t.kind_id = 1 AND t.production_year < 2013 ### Cardinality: 100110101001000010000 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc FROM T WHERE t.id=mc.movie_id AND t.kind_id = 1 AND t.production_year < 2013 ### Cardinality: | 1,266,192 |
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 ci.person_id = 2356325 ### Cardinality: 1000101 | 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 ci.person_id = 2356325 ### Cardinality: | 69 |
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 = 1917 ### Cardinality: 1111110110101 | 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 = 1917 ### Cardinality: | 8,117 |
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 < 3947929 AND ci.role_id = 1 ### Cardinality: 110000010101011011100000 | 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 < 3947929 AND ci.role_id = 1 ### Cardinality: | 12,670,688 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_keyword mk FROM T WHERE t.id=mk.movie_id AND t.kind_id = 4 AND t.production_year = 2012 ### Cardinality: 10011001001111 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_keyword mk FROM T WHERE t.id=mk.movie_id AND t.kind_id = 4 AND t.production_year = 2012 ### Cardinality: | 9,807 |
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 > 3262 ### Cardinality: 1001111111010100111111 | 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 > 3262 ### Cardinality: | 2,618,687 |
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 < 2012 AND mi.info_type_id > 16 AND mi_idx.info_type_id < 100 ### Cardinality: 101111010111010010110 | 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 < 2012 AND mi.info_type_id > 16 AND mi_idx.info_type_id < 100 ### Cardinality: | 1,552,022 |
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