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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,movie_keyword mk FROM T WHERE t.id=mi_idx.movie_id AND t.id=mk.movie_id AND mk.keyword_id < 1293 ### Cardinality: 2500673
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 < 1293 ### Cardinality:
2,500,673
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 < 3017687 ### Cardinality: 29882447
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 < 3017687 ### Cardinality:
29,882,447
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 > 1964 ### Cardinality: 1209704
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 > 1964 ### Cardinality:
1,209,704
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 > 33479 ### Cardinality: 550712
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 > 33479 ### Cardinality:
550,712
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 > 4 AND t.production_year = 1998 AND mc.company_id > 12586 AND mc.company_type_id = 1 ### Cardinality: 3284
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 > 4 AND t.production_year = 1998 AND mc.company_id > 12586 AND mc.company_type_id = 1 ### Cardinality:
3,284
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 > 2343714 ### Cardinality: 171986333
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 > 2343714 ### Cardinality:
171,986,333
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info_idx mi_idx,movie_keyword mk FROM T WHERE t.id=mi_idx.movie_id AND t.id=mk.movie_id AND t.kind_id < 7 AND t.production_year < 2009 AND mi_idx.info_type_id > 99 AND mk.keyword_id = 11112 ### Cardinality:...
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info_idx mi_idx,movie_keyword mk FROM T WHERE t.id=mi_idx.movie_id AND t.id=mk.movie_id AND t.kind_id < 7 AND t.production_year < 2009 AND mi_idx.info_type_id > 99 AND mk.keyword_id = 11112 ### Cardinality:...
179
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 < 2009 AND mc.company_id = 122848 ### Cardinality: 3
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 < 2009 AND mc.company_id = 122848 ### Cardinality:
3
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: 43443666
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,cast_info ci,movie_info mi FROM T WHERE t.id=ci.movie_id AND t.id=mi.movie_id AND ci.person_id > 2366859 AND ci.role_id > 2 AND mi.info_type_id = 7 ### Cardinality: 8935749
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 > 2366859 AND ci.role_id > 2 AND mi.info_type_id = 7 ### Cardinality:
8,935,749
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 > 3585273 AND ci.role_id > 5 AND mi_idx.info_type_id = 101 ### Cardinality: 1246278
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 > 3585273 AND ci.role_id > 5 AND mi_idx.info_type_id = 101 ### Cardinality:
1,246,278
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 > 38974 AND mc.company_type_id < 2 ### Cardinality: 66045
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 > 38974 AND mc.company_type_id < 2 ### Cardinality:
66,045
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 > 1901 AND mc.company_id > 134994 ### Cardinality: 207068
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 > 1901 AND mc.company_id > 134994 ### Cardinality:
207,068
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 < 1982 AND mk.keyword_id = 1382 ### Cardinality: 2452
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 < 1982 AND mk.keyword_id = 1382 ### Cardinality:
2,452
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 < 22946 ### Cardinality: 3717104
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 < 22946 ### Cardinality:
3,717,104
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 > 19676 ### Cardinality: 967462
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 > 19676 ### Cardinality:
967,462
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 mk.keyword_id < 373 ### Cardinality: 418735
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 mk.keyword_id < 373 ### Cardinality:
418,735
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 < 3183967 AND ci.role_id = 3 AND mi.info_type_id < 6 ### Cardinality: 11018396
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 < 3183967 AND ci.role_id = 3 AND mi.info_type_id < 6 ### Cardinality:
11,018,396
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 < 1940 ### Cardinality: 2646
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 < 1940 ### Cardinality:
2,646
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 > 2010 AND mi.info_type_id < 2 ### Cardinality: 54978
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 > 2010 AND mi.info_type_id < 2 ### Cardinality:
54,978
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t FROM T WHERE t.kind_id > 1 AND t.production_year < 1970 ### Cardinality: 139974
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t FROM T WHERE t.kind_id > 1 AND t.production_year < 1970 ### Cardinality:
139,974
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 < 1942 ### Cardinality: 60804
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 < 1942 ### Cardinality:
60,804
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 < 1980 AND mi.info_type_id < 4 ### Cardinality: 1029167
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 < 1980 AND mi.info_type_id < 4 ### Cardinality:
1,029,167
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 = 6 AND t.production_year > 2011 ### Cardinality: 552
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 = 6 AND t.production_year > 2011 ### Cardinality:
552
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 = 1531 ### Cardinality: 5820
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 = 1531 ### Cardinality:
5,820
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 < 1974 AND mi.info_type_id > 17 ### Cardinality: 9856148
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 < 1974 AND mi.info_type_id > 17 ### Cardinality:
9,856,148
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 = 2008 AND mi.info_type_id < 3 ### Cardinality: 623538
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 = 2008 AND mi.info_type_id < 3 ### Cardinality:
623,538
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci,movie_info mi FROM T WHERE t.id=ci.movie_id AND t.id=mi.movie_id AND t.production_year < 1970 AND ci.person_id > 2872165 AND mi.info_type_id < 107 ### Cardinality: 9095005
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci,movie_info mi FROM T WHERE t.id=ci.movie_id AND t.id=mi.movie_id AND t.production_year < 1970 AND ci.person_id > 2872165 AND mi.info_type_id < 107 ### Cardinality:
9,095,005
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci,movie_keyword mk FROM T WHERE t.id=ci.movie_id AND t.id=mk.movie_id AND ci.person_id = 1984076 AND ci.role_id < 9 AND mk.keyword_id > 2110 ### Cardinality: 212
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 = 1984076 AND ci.role_id < 9 AND mk.keyword_id > 2110 ### Cardinality:
212
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi,movie_info_idx mi_idx FROM T WHERE t.id=mi.movie_id AND t.id=mi_idx.movie_id AND t.kind_id < 4 AND t.production_year > 2011 AND mi.info_type_id = 1 AND mi_idx.info_type_id > 101 ### Cardinality: 6
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi,movie_info_idx mi_idx FROM T WHERE t.id=mi.movie_id AND t.id=mi_idx.movie_id AND t.kind_id < 4 AND t.production_year > 2011 AND mi.info_type_id = 1 AND mi_idx.info_type_id > 101 ### Cardinality:
6
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 < 1997 AND ci.person_id < 1057223 AND mk.keyword_id = 21711 ### Cardinality: 63
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 < 1997 AND ci.person_id < 1057223 AND mk.keyword_id = 21711 ### Cardinality:
63
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 = 1985 AND mi.info_type_id = 2 ### Cardinality: 20247
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 = 1985 AND mi.info_type_id = 2 ### Cardinality:
20,247
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 > 2006 ### Cardinality: 1729815
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 > 2006 ### Cardinality:
1,729,815
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 < 2002 AND mk.keyword_id < 16117 ### Cardinality: 1790155
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 < 2002 AND mk.keyword_id < 16117 ### Cardinality:
1,790,155
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 > 7634 ### Cardinality: 4198333
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 > 7634 ### Cardinality:
4,198,333
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 > 1991 AND mi.info_type_id > 7 ### Cardinality: 3155664
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 > 1991 AND mi.info_type_id > 7 ### Cardinality:
3,155,664
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 < 2010 AND ci.person_id < 3054010 AND ci.role_id > 1 ### Cardinality: 3602523
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 < 2010 AND ci.person_id < 3054010 AND ci.role_id > 1 ### Cardinality:
3,602,523
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 < 217291 ### Cardinality: 2228710
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 < 217291 ### Cardinality:
2,228,710
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 > 401643 ### Cardinality: 32069351
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 > 401643 ### Cardinality:
32,069,351
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 = 9482 ### Cardinality: 193
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 = 9482 ### Cardinality:
193
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 < 382114 AND ci.role_id > 10 ### Cardinality: 14476
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 < 382114 AND ci.role_id > 10 ### Cardinality:
14,476
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 = 1 AND mk.keyword_id = 790 ### Cardinality: 6526
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 = 1 AND mk.keyword_id = 790 ### Cardinality:
6,526
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 < 2000 AND mc.company_type_id > 1 AND mi_idx.info_type_id > 101 ### Cardinality: 389
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 < 2000 AND mc.company_type_id > 1 AND mi_idx.info_type_id > 101 ### Cardinality:
389
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 = 33508 ### Cardinality: 35
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 = 33508 ### Cardinality:
35
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 ### Cardinality: 454898
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 ### Cardinality:
454,898
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 > 2008 AND ci.role_id > 2 ### Cardinality: 1479965
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 > 2008 AND ci.role_id > 2 ### Cardinality:
1,479,965
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 = 3403 ### Cardinality: 1372
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 = 3403 ### Cardinality:
1,372
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT cast_info ci FROM T WHERE ci.person_id < 230526 AND ci.role_id = 1 ### Cardinality: 1694045
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 < 230526 AND ci.role_id = 1 ### Cardinality:
1,694,045
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 < 1407913 AND ci.role_id > 3 ### Cardinality: 2888318
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 < 1407913 AND ci.role_id > 3 ### Cardinality:
2,888,318
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 = 1961 ### Cardinality: 37515
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 = 1961 ### Cardinality:
37,515
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 = 7633 ### Cardinality: 2373
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 = 7633 ### Cardinality:
2,373
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 < 37065 ### Cardinality: 4039869
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 < 37065 ### Cardinality:
4,039,869
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi FROM T WHERE t.id=mi.movie_id AND t.production_year = 2007 AND mi.info_type_id = 2 ### Cardinality: 51966
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_info mi FROM T WHERE t.id=mi.movie_id AND t.production_year = 2007 AND mi.info_type_id = 2 ### Cardinality:
51,966
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 < 98 ### Cardinality: 52895594
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 < 98 ### Cardinality:
52,895,594
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 < 59415 ### Cardinality: 4264651
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 < 59415 ### Cardinality:
4,264,651
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 = 3 AND t.production_year > 1966 ### Cardinality: 2152362
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 = 3 AND t.production_year > 1966 ### Cardinality:
2,152,362
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 < 1991 AND mk.keyword_id < 51614 ### Cardinality: 1625356
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 < 1991 AND mk.keyword_id < 51614 ### Cardinality:
1,625,356
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 < 2009 AND ci.person_id > 1711491 AND ci.role_id < 4 ### Cardinality: 78511805
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 < 2009 AND ci.person_id > 1711491 AND ci.role_id < 4 ### Cardinality:
78,511,805
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 < 1965 ### Cardinality: 79092
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 < 1965 ### Cardinality:
79,092
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 < 1974 AND mk.keyword_id < 12173 ### Cardinality: 664488
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 < 1974 AND mk.keyword_id < 12173 ### Cardinality:
664,488
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 > 105405 AND ci.role_id > 1 ### Cardinality: 23295254
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 > 105405 AND ci.role_id > 1 ### Cardinality:
23,295,254
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 > 1 AND t.production_year < 2009 AND ci.role_id < 2 AND mk.keyword_id = 6591 ### Cardinality: 62
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 > 1 AND t.production_year < 2009 AND ci.role_id < 2 AND mk.keyword_id = 6591 ### Cardinality:
62
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 < 2729 ### Cardinality: 889151
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 < 2729 ### Cardinality:
889,151
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 < 1933 AND mi_idx.info_type_id = 100 AND mk.keyword_id = 875 ### Cardinality: 57
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 < 1933 AND mi_idx.info_type_id = 100 AND mk.keyword_id = 875 ### Cardinality:
57
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 < 1799 ### Cardinality: 64014079
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 < 1799 ### Cardinality:
64,014,079
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 > 2013 AND mk.keyword_id = 245 ### Cardinality: 43
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 > 2013 AND mk.keyword_id = 245 ### Cardinality:
43
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 > 4 ### Cardinality: 9384703
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 > 4 ### Cardinality:
9,384,703
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 = 9842 ### Cardinality: 388
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 = 9842 ### Cardinality:
388
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 = 7272 ### Cardinality: 449
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 = 7272 ### Cardinality:
449
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 > 94 ### Cardinality: 8956908
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 > 94 ### Cardinality:
8,956,908
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 > 5329 ### Cardinality: 2159727
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 > 5329 ### Cardinality:
2,159,727
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 < 17 AND mi_idx.info_type_id = 99 ### Cardinality: 5326388
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 < 17 AND mi_idx.info_type_id = 99 ### Cardinality:
5,326,388
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 = 1992 AND ci.role_id > 1 ### Cardinality: 179482
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 = 1992 AND ci.role_id > 1 ### Cardinality:
179,482
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 > 2009 AND mc.company_id > 8977 ### Cardinality: 48226
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 > 2009 AND mc.company_id > 8977 ### Cardinality:
48,226
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 < 4 AND t.production_year < 1999 AND mi_idx.info_type_id > 101 ### Cardinality: 25049
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 < 4 AND t.production_year < 1999 AND mi_idx.info_type_id > 101 ### Cardinality:
25,049
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci FROM T WHERE t.id=ci.movie_id AND t.kind_id = 1 AND ci.role_id > 8 ### Cardinality: 1510774
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,cast_info ci FROM T WHERE t.id=ci.movie_id AND t.kind_id = 1 AND ci.role_id > 8 ### Cardinality:
1,510,774
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 = 28301 AND mc.company_type_id < 2 ### Cardinality: 2
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 = 28301 AND mc.company_type_id < 2 ### Cardinality:
2
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 = 2003 AND mk.keyword_id < 26327 ### Cardinality: 125231
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 = 2003 AND mk.keyword_id < 26327 ### Cardinality:
125,231
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 > 792528 AND ci.role_id > 1 ### Cardinality: 21322116
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 > 792528 AND ci.role_id > 1 ### Cardinality:
21,322,116
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 > 1960 ### Cardinality: 2203697
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 > 1960 ### Cardinality:
2,203,697
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 < 2000 AND mk.keyword_id > 22373 ### Cardinality: 439744
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 < 2000 AND mk.keyword_id > 22373 ### Cardinality:
439,744
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 = 10113 AND mi_idx.info_type_id < 101 ### Cardinality: 502
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 = 10113 AND mi_idx.info_type_id < 101 ### Cardinality:
502
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT cast_info ci FROM T WHERE ci.person_id < 788897 AND ci.role_id < 8 ### Cardinality: 7249461
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT cast_info ci FROM T WHERE ci.person_id < 788897 AND ci.role_id < 8 ### Cardinality:
7,249,461
Below is a task to predict the cardinality of a imagined database from the query. ### Query: SELECT title t,movie_companies mc FROM T WHERE t.id=mc.movie_id AND t.production_year > 1937 AND mc.company_id > 71869 AND mc.company_type_id > 1 ### Cardinality: 498824
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 > 1937 AND mc.company_id > 71869 AND mc.company_type_id > 1 ### Cardinality:
498,824
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 = 2010 AND mi_idx.info_type_id > 100 ### Cardinality: 11384
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 = 2010 AND mi_idx.info_type_id > 100 ### Cardinality:
11,384
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 mi.info_type_id = 1 ### Cardinality: 169002
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 mi.info_type_id = 1 ### Cardinality:
169,002
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 < 1985 AND mc.company_id < 77554 AND mc.company_type_id < 2 ### Cardinality: 484555
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 < 1985 AND mc.company_id < 77554 AND mc.company_type_id < 2 ### Cardinality:
484,555
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 < 48704 ### Cardinality: 216016726
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 < 48704 ### Cardinality:
216,016,726
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 < 2011 ### Cardinality: 12391869
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 < 2011 ### Cardinality:
12,391,869
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 < 11058 ### Cardinality: 3042004
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 < 11058 ### Cardinality:
3,042,004
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 > 9751 ### Cardinality: 1589417
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 > 9751 ### Cardinality:
1,589,417
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 < 1996 AND ci.role_id > 2 ### Cardinality: 27504093
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 < 1996 AND ci.role_id > 2 ### Cardinality:
27,504,093
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 < 2089628 AND ci.role_id = 2 ### Cardinality: 2772016
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 < 2089628 AND ci.role_id = 2 ### Cardinality:
2,772,016
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 = 1276581 ### Cardinality: 20
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 = 1276581 ### Cardinality:
20
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 mk.keyword_id < 1869 ### Cardinality: 62732364
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 mk.keyword_id < 1869 ### Cardinality:
62,732,364
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 < 2004 AND mi_idx.info_type_id > 101 ### Cardinality: 205
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 < 2004 AND mi_idx.info_type_id > 101 ### Cardinality:
205
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 = 3 AND mk.keyword_id > 74541 ### Cardinality: 336413
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 = 3 AND mk.keyword_id > 74541 ### Cardinality:
336,413
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: 1270709
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,movie_info_idx mi_idx FROM T WHERE t.id=mi_idx.movie_id AND t.kind_id = 1 AND t.production_year < 1984 ### Cardinality: 237402
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 < 1984 ### Cardinality:
237,402
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.role_id = 2 AND mk.keyword_id = 335 ### Cardinality: 6565
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.role_id = 2 AND mk.keyword_id = 335 ### Cardinality:
6,565
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Dataset Card for "imdb-card-pred-decimal"

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