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imdb-card-pred-decimal

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Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info_idx mi_idx FROM T WHERE t.id=mi_idx.movie_id AND t.kind_id = 7 AND mi_idx.info_type_id > 99 ### Cardinality: 283812
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t FROM T WHERE t.production_year > 2004 ### Cardinality: 1107925
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_info mi FROM T WHERE mi.info_type_id < 4 ### Cardinality: 3624977
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 < 27 ### Cardinality: 134807
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 < 55 ### Cardinality: 54826
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 > 1977 AND mc.company_id > 71403 AND mi.info_type_id < 4 ### Cardinality: 1172762
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 < 35049 ### Cardinality: 4007119
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 ### Cardinality: 2609129
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_info_idx mi_idx FROM T WHERE mi_idx.info_type_id > 99 ### Cardinality: 920110
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 AND mi_idx.info_type_id = 100 ### Cardinality: 1603946
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 = 890821 AND ci.role_id = 1 AND mk.keyword_id > 3624 ### Cardinality: 2
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 > 2010 AND mi.info_type_id < 16 ### Cardinality: 5327671
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: 395802
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT cast_info ci FROM T WHERE ci.role_id = 10 ### Cardinality: 4323018
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 ### Cardinality: 25847549
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_info mi FROM T WHERE mi.info_type_id = 3 ### Cardinality: 1533909
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 > 2003 AND mi.info_type_id = 16 ### Cardinality: 1604340
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_info mi FROM T WHERE mi.info_type_id > 16 ### Cardinality: 2233850
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_info mi FROM T WHERE mi.info_type_id < 16 ### Cardinality: 9565151
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 = 18559 ### Cardinality: 74
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 ### Cardinality: 40911741
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 mi.info_type_id < 4 ### Cardinality: 7736878
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 < 2007 AND mk.keyword_id > 60992 ### Cardinality: 183733
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 > 1998 AND mi.info_type_id < 15 ### Cardinality: 20895495
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 > 761742 AND ci.role_id = 3 ### Cardinality: 3791245
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_info_idx mi_idx FROM T WHERE mi_idx.info_type_id < 101 ### Cardinality: 919850
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 < 2010 AND mc.company_type_id < 2 ### Cardinality: 504337
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 > 2000 ### Cardinality: 107263793
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 = 20450 ### Cardinality: 123
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_info mi FROM T WHERE mi.info_type_id < 98 ### Cardinality: 13963496
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc,movie_info_idx mi_idx FROM T WHERE t.id=mc.movie_id AND t.id=mi_idx.movie_id AND mc.company_type_id = 2 ### Cardinality: 1753403
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 mi.info_type_id > 98 ### Cardinality: 543367
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 < 1999 ### Cardinality: 7212844
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 = 1992 AND ci.person_id > 2415257 AND ci.role_id < 3 ### Cardinality: 13672
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_info_idx mi_idx FROM T WHERE mi_idx.info_type_id = 101 ### Cardinality: 459925
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 = 1993 AND mi.info_type_id > 3 ### Cardinality: 56991
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_type_id < 2 ### Cardinality: 1274246
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 > 11868 ### Cardinality: 1408364
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 > 312 AND mc.company_type_id = 2 ### Cardinality: 1231696
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 > 5071 ### Cardinality: 2200397
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_info_idx mi_idx FROM T WHERE mi_idx.info_type_id < 100 ### Cardinality: 459925
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_info_idx mi_idx FROM T WHERE mi_idx.info_type_id = 100 ### Cardinality: 459925
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 < 2001 ### Cardinality: 2529592
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 > 1423339 ### Cardinality: 21791610
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 ### Cardinality: 235420417
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_info mi FROM T WHERE mi.info_type_id = 7 ### Cardinality: 1401902
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 < 3639 ### Cardinality: 2036196
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 = 1913 AND mi.info_type_id = 7 ### Cardinality: 39491
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t FROM T WHERE t.production_year = 1993 ### Cardinality: 26775
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 ### Cardinality: 1674098
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT cast_info ci FROM T WHERE ci.role_id > 2 ### Cardinality: 16121683
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 mi.info_type_id < 5 ### Cardinality: 4923966
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_keyword mk FROM T WHERE t.id=mk.movie_id AND t.kind_id > 4 AND mk.keyword_id = 5889 ### Cardinality: 94
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 ### Cardinality: 425718
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT cast_info ci FROM T WHERE ci.role_id = 3 ### Cardinality: 4008037
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 < 1700496 ### Cardinality: 17216083
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 < 2002 ### Cardinality: 633430
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 > 2011 ### Cardinality: 39663
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 < 4 AND t.production_year > 2001 ### Cardinality: 354791
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 > 2758 ### Cardinality: 2807307
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 > 430 ### Cardinality: 3931052
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 < 15518 ### Cardinality: 3330897
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t FROM T WHERE t.production_year < 2012 ### Cardinality: 2224569
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 > 2011 ### Cardinality: 150659
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 < 6258 ### Cardinality: 125861267
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 < 2011 AND mc.company_id > 1700 AND mk.keyword_id < 746 ### Cardinality: 3469105
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 mi_idx.info_type_id > 101 ### Cardinality: 260
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 < 2005 AND mk.keyword_id > 807 ### Cardinality: 19354547
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 < 95839 ### Cardinality: 2328055
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t FROM T WHERE t.kind_id = 1 ### Cardinality: 662825
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 = 2003 AND ci.person_id < 3759296 AND ci.role_id = 10 ### Cardinality: 1679204
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT cast_info ci FROM T WHERE ci.role_id = 1 ### Cardinality: 12670688
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 < 865 ### Cardinality: 906014
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 = 73864 ### Cardinality: 15
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 < 2009 AND ci.person_id < 1384789 AND ci.role_id > 1 ### Cardinality: 1189905
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 = 2008 ### Cardinality: 633134
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 < 1981 AND ci.person_id > 3447372 AND ci.role_id < 10 AND mi.info_type_id > 3 ### Cardinality: 1052679
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 > 3 ### Cardinality: 14859070
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 ### Cardinality: 36244344
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 < 2002 ### Cardinality: 8116633
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 > 2002 ### Cardinality: 6306652
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 < 21 AND mc.company_type_id < 2 ### Cardinality: 109185
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 mc.company_type_id = 1 ### Cardinality: 884682
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 > 2010 ### Cardinality: 1726523
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_info mi FROM T WHERE mi.info_type_id = 4 ### Cardinality: 1298989
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 = 2011 ### Cardinality: 69723
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t FROM T WHERE t.production_year > 2010 ### Cardinality: 391666
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 < 1983 AND mi.info_type_id = 18 ### Cardinality: 102470
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc,cast_info ci FROM T WHERE t.id=mc.movie_id AND t.id=ci.movie_id AND t.production_year > 1958 ### Cardinality: 72667313
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 < 2011 AND mi_idx.info_type_id < 101 ### Cardinality: 832054
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 mc.company_type_id > 1 ### Cardinality: 3003702
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t FROM T WHERE t.production_year < 1999 ### Cardinality: 971188
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc,movie_info_idx mi_idx FROM T WHERE t.id=mc.movie_id AND t.id=mi_idx.movie_id AND mc.company_id = 133 AND mc.company_type_id = 1 ### Cardinality: 1455
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 > 3028889 AND mk.keyword_id = 6079 ### Cardinality: 1536
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_info mi FROM T WHERE mi.info_type_id < 18 ### Cardinality: 12970088
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 = 3 ### Cardinality: 1639327
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT movie_info mi FROM T WHERE mi.info_type_id = 5 ### Cardinality: 486554
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 < 1995 AND mc.company_id > 93251 AND mc.company_type_id = 2 ### Car...
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.role_id > 5 AND mk.keyword_id > 21497 ### Cardinality: 14287122
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 > 2009 AND mi.info_type_id < 73 AND mk.keyword_id > 5346 ### Cardinality: 546932
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