text stringlengths 160 365 | prompt stringlengths 152 355 | true_cardinality int64 1 460M |
|---|---|---|
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc,movie_info mi FROM T WHERE t.id=mc.movie_id AND t.id=mi.movie_id AND t.kind_id < 7 AND t.production_year < 2005 AND mi.info_type_id = 18 ### Cardinality: 1.676973e6 | 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 < 2005 AND mi.info_type_id = 18 ### Cardinality: | 1,676,973 |
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 < 3 AND t.production_year < 2007 AND mk.keyword_id < 2375 ### Cardinality: 4.3443666e7 | 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 < 3 AND t.production_year < 2007 AND mk.keyword_id < 2375 ### Cardinality: | 43,443,666 |
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 > 2010 ### Cardinality: 5.54763e5 | 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 > 2010 ### Cardinality: | 554,763 |
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 > 2544 ### Cardinality: 1.745643e6 | 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 > 2544 ### Cardinality: | 1,745,643 |
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 > 69271 AND mc.company_type_id = 1 ### Cardinality: 1.706e3 | 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 > 69271 AND mc.company_type_id = 1 ### Cardinality: | 1,706 |
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 < 69498 AND mc.company_type_id = 2 ### Cardinality: 7.42446e5 | 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 < 69498 AND mc.company_type_id = 2 ### Cardinality: | 742,446 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi,movie_keyword mk FROM T WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND t.kind_id = 7 AND mi.info_type_id < 16 ### Cardinality: 4.114753e6 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi,movie_keyword mk FROM T WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND t.kind_id = 7 AND mi.info_type_id < 16 ### Cardinality: | 4,114,753 |
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 < 2006 ### Cardinality: 1.066928e6 | 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 < 2006 ### Cardinality: | 1,066,928 |
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 > 26823 ### Cardinality: 7.02927e5 | 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 > 26823 ### Cardinality: | 702,927 |
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 > 2008 AND mc.company_id > 34 AND mi_idx.info_type_id < 100 ### 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 < 7 AND t.production_year > 2008 AND mc.company_id > 34 AND mi_idx.info_type_id < 100 ### Cardinality:... | 168,378 |
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 = 6393 ### Cardinality: 7.78e2 | 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 = 6393 ### Cardinality: | 778 |
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 > 15713 ### Cardinality: 8.70564e5 | 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 > 15713 ### Cardinality: | 870,564 |
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 < 1594661 AND ci.role_id = 1 ### Cardinality: 1.1606362e7 | 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 < 1594661 AND ci.role_id = 1 ### Cardinality: | 11,606,362 |
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 = 1995 AND ci.person_id > 1146791 AND ci.role_id < 2 AND mi.info_type_id = 16 ### Cardinality:... | 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 = 1995 AND ci.person_id > 1146791 AND ci.role_id < 2 AND mi.info_type_id = 16 ### Cardinality:... | 43,238 |
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 < 4 AND t.production_year < 1980 AND mc.company_id < 73455 AND mc.company_type_id = 2 ### Cardinality: 1.80550e5 | 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 < 4 AND t.production_year < 1980 AND mc.company_id < 73455 AND mc.company_type_id = 2 ### Cardinality: | 180,550 |
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 = 1985 AND mk.keyword_id < 41748 ### Cardinality: 1.775792e6 | 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 = 1985 AND mk.keyword_id < 41748 ### Cardinality: | 1,775,792 |
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 = 2005 AND mk.keyword_id < 4917 ### Cardinality: 1.79308e5 | 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 = 2005 AND mk.keyword_id < 4917 ### Cardinality: | 179,308 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info_idx mi_idx FROM T WHERE t.id=mi_idx.movie_id AND t.kind_id = 1 AND t.production_year = 1965 ### Cardinality: 4.438e3 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info_idx mi_idx FROM T WHERE t.id=mi_idx.movie_id AND t.kind_id = 1 AND t.production_year = 1965 ### Cardinality: | 4,438 |
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 < 3115928 AND ci.role_id < 3 ### Cardinality: 2.36123989e8 | 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 < 3115928 AND ci.role_id < 3 ### Cardinality: | 236,123,989 |
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 < 2008 AND mc.company_id = 85420 AND mi.info_type_id < 16 ### Cardinality: 1.0e1 | 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 < 2008 AND mc.company_id = 85420 AND mi.info_type_id < 16 ### Cardinality: | 10 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci,movie_keyword mk FROM T WHERE t.id=ci.movie_id AND t.id=mk.movie_id AND ci.person_id < 943289 AND ci.role_id = 10 ### Cardinality: 5.707234e6 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci,movie_keyword mk FROM T WHERE t.id=ci.movie_id AND t.id=mk.movie_id AND ci.person_id < 943289 AND ci.role_id = 10 ### Cardinality: | 5,707,234 |
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 < 721 ### Cardinality: 7.65020e5 | 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 < 721 ### Cardinality: | 765,020 |
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 < 28427 ### Cardinality: 3.862346e6 | 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 < 28427 ### Cardinality: | 3,862,346 |
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 = 2755509 AND ci.role_id > 1 ### Cardinality: 1.0e1 | 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 = 2755509 AND ci.role_id > 1 ### Cardinality: | 10 |
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 > 1971 AND mk.keyword_id > 1732 ### Cardinality: 1.9614254e7 | 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 > 1971 AND mk.keyword_id > 1732 ### Cardinality: | 19,614,254 |
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 = 45184 AND mc.company_type_id > 1 ### Cardinality: 7.0e1 | 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 = 45184 AND mc.company_type_id > 1 ### Cardinality: | 7 |
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 > 18358 ### Cardinality: 1.004735e6 | 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 > 18358 ### Cardinality: | 1,004,735 |
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 > 1978 ### Cardinality: 1.80359074e8 | 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 > 1978 ### Cardinality: | 180,359,074 |
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 = 43581 ### Cardinality: 1.6e1 | 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 = 43581 ### Cardinality: | 16 |
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 = 2001 AND ci.person_id < 451980 AND ci.role_id > 8 AND mi.info_type_id < 77 ### Cardinality: ... | 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 = 2001 AND ci.person_id < 451980 AND ci.role_id > 8 AND mi.info_type_id < 77 ### Cardinality: | 162,422 |
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 > 2010 AND mi_idx.info_type_id < 101 ### Cardinality: 8.7676e4 | 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 > 2010 AND mi_idx.info_type_id < 101 ### Cardinality: | 87,676 |
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 > 45243 ### Cardinality: 7.01605e5 | 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 > 45243 ### Cardinality: | 701,605 |
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 < 4 AND t.production_year = 2001 ### Cardinality: 1.4357e4 | 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 < 4 AND t.production_year = 2001 ### Cardinality: | 14,357 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci,movie_keyword mk FROM T WHERE t.id=ci.movie_id AND t.id=mk.movie_id AND ci.person_id > 496227 AND ci.role_id < 4 AND mk.keyword_id > 8274 ### Cardinality: 3.9991267e7 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci,movie_keyword mk FROM T WHERE t.id=ci.movie_id AND t.id=mk.movie_id AND ci.person_id > 496227 AND ci.role_id < 4 AND mk.keyword_id > 8274 ### Cardinality: | 39,991,267 |
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 = 977903 ### Cardinality: 1.539e3 | 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 = 977903 ### Cardinality: | 1,539 |
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 < 2 AND t.production_year > 1994 AND mc.company_id < 78272 AND mc.company_type_id = 1 AND mi.info_type_id > 4 ### ... | 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 < 2 AND t.production_year > 1994 AND mc.company_id < 78272 AND mc.company_type_id = 1 AND mi.info_type_id > 4 ### ... | 21,641,769 |
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 > 2010 AND mk.keyword_id < 85 ### Cardinality: 7.847e3 | 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 > 2010 AND mk.keyword_id < 85 ### Cardinality: | 7,847 |
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 = 1952 ### Cardinality: 5.6164e4 | 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 = 1952 ### Cardinality: | 56,164 |
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 > 2012 AND ci.role_id = 3 ### Cardinality: 7.26639e5 | 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 > 2012 AND ci.role_id = 3 ### Cardinality: | 726,639 |
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 < 115 AND mc.company_type_id > 1 ### Cardinality: 1.80332e5 | 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 < 115 AND mc.company_type_id > 1 ### Cardinality: | 180,332 |
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 = 2014 AND mi_idx.info_type_id = 101 ### Cardinality: 1.3e1 | 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 = 2014 AND mi_idx.info_type_id = 101 ### Cardinality: | 13 |
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 = 239 AND mc.company_type_id = 2 ### Cardinality: 4.7e1 | 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 = 239 AND mc.company_type_id = 2 ### Cardinality: | 47 |
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 < 91419 ### Cardinality: 2.286584e6 | 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 < 91419 ### Cardinality: | 2,286,584 |
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 > 2012 AND mi.info_type_id < 6 AND mi_idx.info_type_id = 99 ### Cardinality: 8.02... | 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 > 2012 AND mi.info_type_id < 6 AND mi_idx.info_type_id = 99 ### Cardinality: | 8,028 |
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 > 49 AND ci.role_id > 1 ### Cardinality: 4.9472617e7 | 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 > 49 AND ci.role_id > 1 ### Cardinality: | 49,472,617 |
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 = 24559 AND mc.company_type_id = 1 ### Cardinality: 4.0e1 | 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 = 24559 AND mc.company_type_id = 1 ### Cardinality: | 4 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc,movie_info mi FROM T WHERE t.id=mc.movie_id AND t.id=mi.movie_id AND t.kind_id = 1 AND t.production_year < 1958 AND mi.info_type_id = 16 ### Cardinality: 9.49791e5 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc,movie_info mi FROM T WHERE t.id=mc.movie_id AND t.id=mi.movie_id AND t.kind_id = 1 AND t.production_year < 1958 AND mi.info_type_id = 16 ### Cardinality: | 949,791 |
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 = 1988 ### Cardinality: 2.693166e6 | 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 = 1988 ### Cardinality: | 2,693,166 |
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 = 2013 AND mk.keyword_id < 3225 ### Cardinality: 6.938e3 | 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 = 2013 AND mk.keyword_id < 3225 ### Cardinality: | 6,938 |
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 < 41509 AND ci.role_id > 1 ### Cardinality: 9.3624e4 | 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 < 41509 AND ci.role_id > 1 ### Cardinality: | 93,624 |
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 < 44488 ### Cardinality: 9.525613e6 | 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 < 44488 ### Cardinality: | 9,525,613 |
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.role_id < 2 AND mi_idx.info_type_id = 99 ### Cardinality: 4.798120e6 | 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.role_id < 2 AND mi_idx.info_type_id = 99 ### Cardinality: | 4,798,120 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi,movie_keyword mk FROM T WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND mi.info_type_id = 8 AND mk.keyword_id > 2319 ### Cardinality: 3.330536e6 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi,movie_keyword mk FROM T WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND mi.info_type_id = 8 AND mk.keyword_id > 2319 ### Cardinality: | 3,330,536 |
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 = 47 ### Cardinality: 7.7e1 | 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 = 47 ### Cardinality: | 77 |
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 = 196 ### Cardinality: 6.516e3 | 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 = 196 ### Cardinality: | 6,516 |
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 > 11479 ### Cardinality: 1.453702e6 | 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 > 11479 ### Cardinality: | 1,453,702 |
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 = 1475026 AND ci.role_id > 1 AND mi.info_type_id = 4 ### Cardinality: 4.7e1 | 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 = 1475026 AND ci.role_id > 1 AND mi.info_type_id = 4 ### Cardinality: | 47 |
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 > 1962 AND ci.role_id < 2 AND mi_idx.info_type_id = 101 ### Cardinality: 4.160334e6 | 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 > 1962 AND ci.role_id < 2 AND mi_idx.info_type_id = 101 ### Cardinality: | 4,160,334 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi FROM T WHERE t.id=mi.movie_id AND t.kind_id < 3 AND t.production_year = 2011 AND mi.info_type_id = 16 ### Cardinality: 5.8487e4 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi FROM T WHERE t.id=mi.movie_id AND t.kind_id < 3 AND t.production_year = 2011 AND mi.info_type_id = 16 ### Cardinality: | 58,487 |
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 > 1089317 AND ci.role_id > 2 ### Cardinality: 1.3018298e7 | 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 > 1089317 AND ci.role_id > 2 ### Cardinality: | 13,018,298 |
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 < 3096213 AND ci.role_id < 2 AND mi_idx.info_type_id > 101 ### Cardinality: 1.2014e4 | 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 < 3096213 AND ci.role_id < 2 AND mi_idx.info_type_id > 101 ### Cardinality: | 12,014 |
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 > 162617 AND mc.company_type_id = 2 ### Cardinality: 9.1697e4 | 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 > 162617 AND mc.company_type_id = 2 ### Cardinality: | 91,697 |
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 > 112150 ### Cardinality: 2.04364e5 | 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 > 112150 ### Cardinality: | 204,364 |
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 < 1983 AND mi_idx.info_type_id > 100 ### Cardinality: 9.0050e4 | 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 < 1983 AND mi_idx.info_type_id > 100 ### Cardinality: | 90,050 |
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 < 1990 AND mi.info_type_id = 6 ### Cardinality: 2.09381e5 | 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 < 1990 AND mi.info_type_id = 6 ### Cardinality: | 209,381 |
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 < 4 ### Cardinality: 3.689372e6 | 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 < 4 ### Cardinality: | 3,689,372 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_keyword mk FROM T WHERE mk.keyword_id > 1082 ### Cardinality: 3.445068e6 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_keyword mk FROM T WHERE mk.keyword_id > 1082 ### Cardinality: | 3,445,068 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci,movie_info mi FROM T WHERE t.id=ci.movie_id AND t.id=mi.movie_id AND ci.person_id > 4019423 AND ci.role_id > 2 ### Cardinality: 3.789619e6 | 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 > 4019423 AND ci.role_id > 2 ### Cardinality: | 3,789,619 |
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 > 3069 ### Cardinality: 2.675696e6 | 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 > 3069 ### Cardinality: | 2,675,696 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_keyword mk FROM T WHERE t.id=mk.movie_id AND t.kind_id = 7 AND t.production_year = 1975 AND mk.keyword_id < 7088 ### Cardinality: 2.038e3 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_keyword mk FROM T WHERE t.id=mk.movie_id AND t.kind_id = 7 AND t.production_year = 1975 AND mk.keyword_id < 7088 ### Cardinality: | 2,038 |
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 > 2007 AND mi.info_type_id > 17 ### Cardinality: 2.2878443e7 | 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 > 2007 AND mi.info_type_id > 17 ### Cardinality: | 22,878,443 |
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 = 2012 AND ci.role_id > 6 AND mi.info_type_id > 4 ### Cardinality: 5.687469e6 | 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 = 2012 AND ci.role_id > 6 AND mi.info_type_id > 4 ### Cardinality: | 5,687,469 |
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 t.production_year > 2011 AND ci.role_id < 3 AND mi.info_type_id > 98 ### Cardinality: 8.850e3 | 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 t.production_year > 2011 AND ci.role_id < 3 AND mi.info_type_id > 98 ### Cardinality: | 8,850 |
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 AND mi_idx.info_type_id = 100 ### Cardinality: 1.21025e5 | 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 AND mi_idx.info_type_id = 100 ### Cardinality: | 121,025 |
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 > 203765 ### Cardinality: 4.33531215e8 | 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 > 203765 ### Cardinality: | 433,531,215 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci,movie_keyword mk FROM T WHERE t.id=ci.movie_id AND t.id=mk.movie_id AND ci.person_id = 2381932 ### Cardinality: 2.2e1 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci,movie_keyword mk FROM T WHERE t.id=ci.movie_id AND t.id=mk.movie_id AND ci.person_id = 2381932 ### Cardinality: | 22 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi,movie_info_idx mi_idx FROM T WHERE t.id=mi.movie_id AND t.id=mi_idx.movie_id AND t.kind_id < 7 AND t.production_year = 1993 AND mi.info_type_id = 16 AND mi_idx.info_type_id = 101 ### Cardinality: 7.... | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi,movie_info_idx mi_idx FROM T WHERE t.id=mi.movie_id AND t.id=mi_idx.movie_id AND t.kind_id < 7 AND t.production_year = 1993 AND mi.info_type_id = 16 AND mi_idx.info_type_id = 101 ### Cardinality: | 7,554 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc,movie_info mi FROM T WHERE t.id=mc.movie_id AND t.id=mi.movie_id AND mc.company_id = 11203 AND mi.info_type_id > 46 ### Cardinality: 5.91e2 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc,movie_info mi FROM T WHERE t.id=mc.movie_id AND t.id=mi.movie_id AND mc.company_id = 11203 AND mi.info_type_id > 46 ### Cardinality: | 591 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info_idx mi_idx,movie_keyword mk FROM T WHERE t.id=mi_idx.movie_id AND t.id=mk.movie_id AND mi_idx.info_type_id = 101 AND mk.keyword_id = 19535 ### Cardinality: 2.4e1 | Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info_idx mi_idx,movie_keyword mk FROM T WHERE t.id=mi_idx.movie_id AND t.id=mk.movie_id AND mi_idx.info_type_id = 101 AND mk.keyword_id = 19535 ### Cardinality: | 24 |
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 = 1252592 AND ci.role_id = 10 ### Cardinality: 3.0e1 | 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 = 1252592 AND ci.role_id = 10 ### Cardinality: | 3 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info_idx mi_idx FROM T WHERE t.id=mi_idx.movie_id AND t.kind_id < 7 AND t.production_year < 1938 ### Cardinality: 4.8652e4 | 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 < 1938 ### Cardinality: | 48,652 |
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 > 2007 AND mi.info_type_id = 3 ### Cardinality: 1.25967e5 | 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 > 2007 AND mi.info_type_id = 3 ### Cardinality: | 125,967 |
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 > 2005 AND mi.info_type_id > 3 ### Cardinality: 4.711800e6 | 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 > 2005 AND mi.info_type_id > 3 ### Cardinality: | 4,711,800 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci FROM T WHERE t.id=ci.movie_id AND t.kind_id < 7 AND t.production_year > 1975 AND ci.person_id > 2925539 AND ci.role_id > 3 ### Cardinality: 2.247362e6 | 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 > 1975 AND ci.person_id > 2925539 AND ci.role_id > 3 ### Cardinality: | 2,247,362 |
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 = 2012 AND ci.person_id < 452898 ### Cardinality: 2.01146e5 | 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 = 2012 AND ci.person_id < 452898 ### Cardinality: | 201,146 |
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 = 2003 AND ci.person_id < 2358293 AND ci.role_id = 3 AND mi.info_type_id < 16 ### Cardinality: 3.53965e5 | 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 = 2003 AND ci.person_id < 2358293 AND ci.role_id = 3 AND mi.info_type_id < 16 ### Cardinality: | 353,965 |
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 > 11856 ### Cardinality: 1.034606e6 | 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 > 11856 ### Cardinality: | 1,034,606 |
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 = 2012 AND ci.role_id < 2 ### Cardinality: 4.75593e5 | 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 = 2012 AND ci.role_id < 2 ### Cardinality: | 475,593 |
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 > 6107 ### Cardinality: 2.024253e6 | 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 > 6107 ### Cardinality: | 2,024,253 |
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 = 2875 ### Cardinality: 1.2789e4 | 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 = 2875 ### Cardinality: | 12,789 |
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 > 3 ### Cardinality: 3.3769171e7 | 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 > 3 ### Cardinality: | 33,769,171 |
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 = 2 AND t.production_year < 2008 ### Cardinality: 1.068930e6 | 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 = 2 AND t.production_year < 2008 ### Cardinality: | 1,068,930 |
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 > 3926201 ### Cardinality: 7.02209e5 | 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 > 3926201 ### Cardinality: | 702,209 |
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 > 74718 AND mc.company_type_id = 2 ### Cardinality: 4.90585e5 | 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 > 74718 AND mc.company_type_id = 2 ### Cardinality: | 490,585 |
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 > 2012 AND mk.keyword_id > 4611 ### Cardinality: 1.4565e4 | 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 > 2012 AND mk.keyword_id > 4611 ### Cardinality: | 14,565 |
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 < 12472 ### Cardinality: 3.170555e6 | 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 < 12472 ### Cardinality: | 3,170,555 |
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 = 3687737 AND ci.role_id > 2 ### Cardinality: 1.1e1 | 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 = 3687737 AND ci.role_id > 2 ### Cardinality: | 11 |
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 < 72776 ### Cardinality: 6.6607323e7 | 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 < 72776 ### Cardinality: | 66,607,323 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci,movie_keyword mk FROM T WHERE t.id=ci.movie_id AND t.id=mk.movie_id AND t.kind_id > 3 AND t.production_year = 1952 AND ci.person_id > 770856 ### Cardinality: 2.1796e4 | 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 > 3 AND t.production_year = 1952 AND ci.person_id > 770856 ### Cardinality: | 21,796 |
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc FROM T WHERE t.id=mc.movie_id AND mc.company_id < 5135 ### Cardinality: 1.013050e6 | 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 < 5135 ### Cardinality: | 1,013,050 |
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