db_id stringclasses 146
values | question stringlengths 3 224 | sql stringlengths 18 577 | database_schema stringclasses 146
values |
|---|---|---|---|
academic | return me the conferences, which have more than 10 papers by " H. V. Jagadish " . | SELECT t2.name FROM publication AS t4 JOIN conference AS t2 ON t4.cid = t2.cid JOIN writes AS t3 ON t3.pid = t4.pid JOIN author AS t1 ON t3.aid = t1.aid WHERE t1.name = "H. V. Jagadish" GROUP BY t2.name HAVING COUNT ( DISTINCT t4.title ) > 10; | CREATE TABLE "author" (
"aid" int,
"homepage" text,
"name" text,
"oid" int,
primary key("aid")
)
3 rows from author table:
Empty DataFrame
Columns: [aid, homepage, name, oid]
Index: []
CREATE TABLE "conference" (
"cid" int,
"homepage" text,
"name" text,
primary key ("cid")
)
3 rows from conference table:
Empty DataFrame
Columns: [cid, homepage, name]
Index: []
CREATE TABLE "domain" (
"did" int,
"name" text,
primary key ("did")
)
3 rows from domain table:
Empty DataFrame
Columns: [did, name]
Index: []
CREATE TABLE "domain_author" (
"aid" int,
"did" int,
primary key ("did", "aid"),
foreign key("aid") references `author`("aid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_author table:
Empty DataFrame
Columns: [aid, did]
Index: []
CREATE TABLE "domain_conference" (
"cid" int,
"did" int,
primary key ("did", "cid"),
foreign key("cid") references `conference`("cid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_conference table:
Empty DataFrame
Columns: [cid, did]
Index: []
CREATE TABLE "journal" (
"homepage" text,
"jid" int,
"name" text,
primary key("jid")
)
3 rows from journal table:
Empty DataFrame
Columns: [homepage, jid, name]
Index: []
CREATE TABLE "domain_journal" (
"did" int,
"jid" int,
primary key ("did", "jid"),
foreign key("jid") references "journal"("jid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_journal table:
Empty DataFrame
Columns: [did, jid]
Index: []
CREATE TABLE "keyword" (
"keyword" text,
"kid" int,
primary key("kid")
)
3 rows from keyword table:
Empty DataFrame
Columns: [keyword, kid]
Index: []
CREATE TABLE "domain_keyword" (
"did" int,
"kid" int,
primary key ("did", "kid"),
foreign key("kid") references "keyword"("kid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_keyword table:
Empty DataFrame
Columns: [did, kid]
Index: []
CREATE TABLE "publication" (
"abstract" text,
"cid" text,
"citation_num" int,
"jid" int,
"pid" int,
"reference_num" int,
"title" text,
"year" int,
primary key("pid"),
foreign key("jid") references "journal"("jid"),
foreign key("cid") references "conference"("cid")
)
3 rows from publication table:
Empty DataFrame
Columns: [abstract, cid, citation_num, jid, pid, reference_num, title, year]
Index: []
CREATE TABLE "domain_publication" (
"did" int,
"pid" int,
primary key ("did", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_publication table:
Empty DataFrame
Columns: [did, pid]
Index: []
CREATE TABLE "organization" (
"continent" text,
"homepage" text,
"name" text,
"oid" int,
primary key("oid")
)
3 rows from organization table:
Empty DataFrame
Columns: [continent, homepage, name, oid]
Index: []
CREATE TABLE "publication_keyword" (
"pid" int,
"kid" int,
primary key ("kid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("kid") references "keyword"("kid")
)
3 rows from publication_keyword table:
Empty DataFrame
Columns: [pid, kid]
Index: []
CREATE TABLE "writes" (
"aid" int,
"pid" int,
primary key ("aid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("aid") references "author"("aid")
)
3 rows from writes table:
Empty DataFrame
Columns: [aid, pid]
Index: []
CREATE TABLE "cite" (
"cited" int,
"citing" int,
foreign key("cited") references "publication"("pid"),
foreign key("citing") references "publication"("pid")
)
3 rows from cite table:
Empty DataFrame
Columns: [cited, citing]
Index: []
|
academic | return me the conference, which have the most number of papers by " H. V. Jagadish " . | SELECT t2.name FROM publication AS t4 JOIN conference AS t2 ON t4.cid = t2.cid JOIN writes AS t3 ON t3.pid = t4.pid JOIN author AS t1 ON t3.aid = t1.aid WHERE t1.name = "H. V. Jagadish" GROUP BY t2.name ORDER BY COUNT ( DISTINCT t4.title ) DESC LIMIT 1; | CREATE TABLE "author" (
"aid" int,
"homepage" text,
"name" text,
"oid" int,
primary key("aid")
)
3 rows from author table:
Empty DataFrame
Columns: [aid, homepage, name, oid]
Index: []
CREATE TABLE "conference" (
"cid" int,
"homepage" text,
"name" text,
primary key ("cid")
)
3 rows from conference table:
Empty DataFrame
Columns: [cid, homepage, name]
Index: []
CREATE TABLE "domain" (
"did" int,
"name" text,
primary key ("did")
)
3 rows from domain table:
Empty DataFrame
Columns: [did, name]
Index: []
CREATE TABLE "domain_author" (
"aid" int,
"did" int,
primary key ("did", "aid"),
foreign key("aid") references `author`("aid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_author table:
Empty DataFrame
Columns: [aid, did]
Index: []
CREATE TABLE "domain_conference" (
"cid" int,
"did" int,
primary key ("did", "cid"),
foreign key("cid") references `conference`("cid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_conference table:
Empty DataFrame
Columns: [cid, did]
Index: []
CREATE TABLE "journal" (
"homepage" text,
"jid" int,
"name" text,
primary key("jid")
)
3 rows from journal table:
Empty DataFrame
Columns: [homepage, jid, name]
Index: []
CREATE TABLE "domain_journal" (
"did" int,
"jid" int,
primary key ("did", "jid"),
foreign key("jid") references "journal"("jid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_journal table:
Empty DataFrame
Columns: [did, jid]
Index: []
CREATE TABLE "keyword" (
"keyword" text,
"kid" int,
primary key("kid")
)
3 rows from keyword table:
Empty DataFrame
Columns: [keyword, kid]
Index: []
CREATE TABLE "domain_keyword" (
"did" int,
"kid" int,
primary key ("did", "kid"),
foreign key("kid") references "keyword"("kid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_keyword table:
Empty DataFrame
Columns: [did, kid]
Index: []
CREATE TABLE "publication" (
"abstract" text,
"cid" text,
"citation_num" int,
"jid" int,
"pid" int,
"reference_num" int,
"title" text,
"year" int,
primary key("pid"),
foreign key("jid") references "journal"("jid"),
foreign key("cid") references "conference"("cid")
)
3 rows from publication table:
Empty DataFrame
Columns: [abstract, cid, citation_num, jid, pid, reference_num, title, year]
Index: []
CREATE TABLE "domain_publication" (
"did" int,
"pid" int,
primary key ("did", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_publication table:
Empty DataFrame
Columns: [did, pid]
Index: []
CREATE TABLE "organization" (
"continent" text,
"homepage" text,
"name" text,
"oid" int,
primary key("oid")
)
3 rows from organization table:
Empty DataFrame
Columns: [continent, homepage, name, oid]
Index: []
CREATE TABLE "publication_keyword" (
"pid" int,
"kid" int,
primary key ("kid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("kid") references "keyword"("kid")
)
3 rows from publication_keyword table:
Empty DataFrame
Columns: [pid, kid]
Index: []
CREATE TABLE "writes" (
"aid" int,
"pid" int,
primary key ("aid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("aid") references "author"("aid")
)
3 rows from writes table:
Empty DataFrame
Columns: [aid, pid]
Index: []
CREATE TABLE "cite" (
"cited" int,
"citing" int,
foreign key("cited") references "publication"("pid"),
foreign key("citing") references "publication"("pid")
)
3 rows from cite table:
Empty DataFrame
Columns: [cited, citing]
Index: []
|
academic | return me the journals, which have more than 10 papers by " H. V. Jagadish " . | SELECT t2.name FROM publication AS t4 JOIN journal AS t2 ON t4.jid = t2.jid JOIN writes AS t3 ON t3.pid = t4.pid JOIN author AS t1 ON t3.aid = t1.aid WHERE t1.name = "H. V. Jagadish" GROUP BY t2.name HAVING COUNT ( DISTINCT t4.title ) > 10; | CREATE TABLE "author" (
"aid" int,
"homepage" text,
"name" text,
"oid" int,
primary key("aid")
)
3 rows from author table:
Empty DataFrame
Columns: [aid, homepage, name, oid]
Index: []
CREATE TABLE "conference" (
"cid" int,
"homepage" text,
"name" text,
primary key ("cid")
)
3 rows from conference table:
Empty DataFrame
Columns: [cid, homepage, name]
Index: []
CREATE TABLE "domain" (
"did" int,
"name" text,
primary key ("did")
)
3 rows from domain table:
Empty DataFrame
Columns: [did, name]
Index: []
CREATE TABLE "domain_author" (
"aid" int,
"did" int,
primary key ("did", "aid"),
foreign key("aid") references `author`("aid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_author table:
Empty DataFrame
Columns: [aid, did]
Index: []
CREATE TABLE "domain_conference" (
"cid" int,
"did" int,
primary key ("did", "cid"),
foreign key("cid") references `conference`("cid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_conference table:
Empty DataFrame
Columns: [cid, did]
Index: []
CREATE TABLE "journal" (
"homepage" text,
"jid" int,
"name" text,
primary key("jid")
)
3 rows from journal table:
Empty DataFrame
Columns: [homepage, jid, name]
Index: []
CREATE TABLE "domain_journal" (
"did" int,
"jid" int,
primary key ("did", "jid"),
foreign key("jid") references "journal"("jid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_journal table:
Empty DataFrame
Columns: [did, jid]
Index: []
CREATE TABLE "keyword" (
"keyword" text,
"kid" int,
primary key("kid")
)
3 rows from keyword table:
Empty DataFrame
Columns: [keyword, kid]
Index: []
CREATE TABLE "domain_keyword" (
"did" int,
"kid" int,
primary key ("did", "kid"),
foreign key("kid") references "keyword"("kid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_keyword table:
Empty DataFrame
Columns: [did, kid]
Index: []
CREATE TABLE "publication" (
"abstract" text,
"cid" text,
"citation_num" int,
"jid" int,
"pid" int,
"reference_num" int,
"title" text,
"year" int,
primary key("pid"),
foreign key("jid") references "journal"("jid"),
foreign key("cid") references "conference"("cid")
)
3 rows from publication table:
Empty DataFrame
Columns: [abstract, cid, citation_num, jid, pid, reference_num, title, year]
Index: []
CREATE TABLE "domain_publication" (
"did" int,
"pid" int,
primary key ("did", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_publication table:
Empty DataFrame
Columns: [did, pid]
Index: []
CREATE TABLE "organization" (
"continent" text,
"homepage" text,
"name" text,
"oid" int,
primary key("oid")
)
3 rows from organization table:
Empty DataFrame
Columns: [continent, homepage, name, oid]
Index: []
CREATE TABLE "publication_keyword" (
"pid" int,
"kid" int,
primary key ("kid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("kid") references "keyword"("kid")
)
3 rows from publication_keyword table:
Empty DataFrame
Columns: [pid, kid]
Index: []
CREATE TABLE "writes" (
"aid" int,
"pid" int,
primary key ("aid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("aid") references "author"("aid")
)
3 rows from writes table:
Empty DataFrame
Columns: [aid, pid]
Index: []
CREATE TABLE "cite" (
"cited" int,
"citing" int,
foreign key("cited") references "publication"("pid"),
foreign key("citing") references "publication"("pid")
)
3 rows from cite table:
Empty DataFrame
Columns: [cited, citing]
Index: []
|
academic | return me the journal, which have the most number of papers by " H. V. Jagadish " . | SELECT t2.name FROM publication AS t4 JOIN journal AS t2 ON t4.jid = t2.jid JOIN writes AS t3 ON t3.pid = t4.pid JOIN author AS t1 ON t3.aid = t1.aid WHERE t1.name = "H. V. Jagadish" GROUP BY t2.name ORDER BY COUNT ( DISTINCT t4.title ) DESC LIMIT 1; | CREATE TABLE "author" (
"aid" int,
"homepage" text,
"name" text,
"oid" int,
primary key("aid")
)
3 rows from author table:
Empty DataFrame
Columns: [aid, homepage, name, oid]
Index: []
CREATE TABLE "conference" (
"cid" int,
"homepage" text,
"name" text,
primary key ("cid")
)
3 rows from conference table:
Empty DataFrame
Columns: [cid, homepage, name]
Index: []
CREATE TABLE "domain" (
"did" int,
"name" text,
primary key ("did")
)
3 rows from domain table:
Empty DataFrame
Columns: [did, name]
Index: []
CREATE TABLE "domain_author" (
"aid" int,
"did" int,
primary key ("did", "aid"),
foreign key("aid") references `author`("aid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_author table:
Empty DataFrame
Columns: [aid, did]
Index: []
CREATE TABLE "domain_conference" (
"cid" int,
"did" int,
primary key ("did", "cid"),
foreign key("cid") references `conference`("cid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_conference table:
Empty DataFrame
Columns: [cid, did]
Index: []
CREATE TABLE "journal" (
"homepage" text,
"jid" int,
"name" text,
primary key("jid")
)
3 rows from journal table:
Empty DataFrame
Columns: [homepage, jid, name]
Index: []
CREATE TABLE "domain_journal" (
"did" int,
"jid" int,
primary key ("did", "jid"),
foreign key("jid") references "journal"("jid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_journal table:
Empty DataFrame
Columns: [did, jid]
Index: []
CREATE TABLE "keyword" (
"keyword" text,
"kid" int,
primary key("kid")
)
3 rows from keyword table:
Empty DataFrame
Columns: [keyword, kid]
Index: []
CREATE TABLE "domain_keyword" (
"did" int,
"kid" int,
primary key ("did", "kid"),
foreign key("kid") references "keyword"("kid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_keyword table:
Empty DataFrame
Columns: [did, kid]
Index: []
CREATE TABLE "publication" (
"abstract" text,
"cid" text,
"citation_num" int,
"jid" int,
"pid" int,
"reference_num" int,
"title" text,
"year" int,
primary key("pid"),
foreign key("jid") references "journal"("jid"),
foreign key("cid") references "conference"("cid")
)
3 rows from publication table:
Empty DataFrame
Columns: [abstract, cid, citation_num, jid, pid, reference_num, title, year]
Index: []
CREATE TABLE "domain_publication" (
"did" int,
"pid" int,
primary key ("did", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_publication table:
Empty DataFrame
Columns: [did, pid]
Index: []
CREATE TABLE "organization" (
"continent" text,
"homepage" text,
"name" text,
"oid" int,
primary key("oid")
)
3 rows from organization table:
Empty DataFrame
Columns: [continent, homepage, name, oid]
Index: []
CREATE TABLE "publication_keyword" (
"pid" int,
"kid" int,
primary key ("kid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("kid") references "keyword"("kid")
)
3 rows from publication_keyword table:
Empty DataFrame
Columns: [pid, kid]
Index: []
CREATE TABLE "writes" (
"aid" int,
"pid" int,
primary key ("aid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("aid") references "author"("aid")
)
3 rows from writes table:
Empty DataFrame
Columns: [aid, pid]
Index: []
CREATE TABLE "cite" (
"cited" int,
"citing" int,
foreign key("cited") references "publication"("pid"),
foreign key("citing") references "publication"("pid")
)
3 rows from cite table:
Empty DataFrame
Columns: [cited, citing]
Index: []
|
academic | return me the paper with the most citations . | SELECT title FROM publication ORDER BY citation_num DESC LIMIT 1; | CREATE TABLE "author" (
"aid" int,
"homepage" text,
"name" text,
"oid" int,
primary key("aid")
)
3 rows from author table:
Empty DataFrame
Columns: [aid, homepage, name, oid]
Index: []
CREATE TABLE "conference" (
"cid" int,
"homepage" text,
"name" text,
primary key ("cid")
)
3 rows from conference table:
Empty DataFrame
Columns: [cid, homepage, name]
Index: []
CREATE TABLE "domain" (
"did" int,
"name" text,
primary key ("did")
)
3 rows from domain table:
Empty DataFrame
Columns: [did, name]
Index: []
CREATE TABLE "domain_author" (
"aid" int,
"did" int,
primary key ("did", "aid"),
foreign key("aid") references `author`("aid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_author table:
Empty DataFrame
Columns: [aid, did]
Index: []
CREATE TABLE "domain_conference" (
"cid" int,
"did" int,
primary key ("did", "cid"),
foreign key("cid") references `conference`("cid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_conference table:
Empty DataFrame
Columns: [cid, did]
Index: []
CREATE TABLE "journal" (
"homepage" text,
"jid" int,
"name" text,
primary key("jid")
)
3 rows from journal table:
Empty DataFrame
Columns: [homepage, jid, name]
Index: []
CREATE TABLE "domain_journal" (
"did" int,
"jid" int,
primary key ("did", "jid"),
foreign key("jid") references "journal"("jid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_journal table:
Empty DataFrame
Columns: [did, jid]
Index: []
CREATE TABLE "keyword" (
"keyword" text,
"kid" int,
primary key("kid")
)
3 rows from keyword table:
Empty DataFrame
Columns: [keyword, kid]
Index: []
CREATE TABLE "domain_keyword" (
"did" int,
"kid" int,
primary key ("did", "kid"),
foreign key("kid") references "keyword"("kid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_keyword table:
Empty DataFrame
Columns: [did, kid]
Index: []
CREATE TABLE "publication" (
"abstract" text,
"cid" text,
"citation_num" int,
"jid" int,
"pid" int,
"reference_num" int,
"title" text,
"year" int,
primary key("pid"),
foreign key("jid") references "journal"("jid"),
foreign key("cid") references "conference"("cid")
)
3 rows from publication table:
Empty DataFrame
Columns: [abstract, cid, citation_num, jid, pid, reference_num, title, year]
Index: []
CREATE TABLE "domain_publication" (
"did" int,
"pid" int,
primary key ("did", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_publication table:
Empty DataFrame
Columns: [did, pid]
Index: []
CREATE TABLE "organization" (
"continent" text,
"homepage" text,
"name" text,
"oid" int,
primary key("oid")
)
3 rows from organization table:
Empty DataFrame
Columns: [continent, homepage, name, oid]
Index: []
CREATE TABLE "publication_keyword" (
"pid" int,
"kid" int,
primary key ("kid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("kid") references "keyword"("kid")
)
3 rows from publication_keyword table:
Empty DataFrame
Columns: [pid, kid]
Index: []
CREATE TABLE "writes" (
"aid" int,
"pid" int,
primary key ("aid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("aid") references "author"("aid")
)
3 rows from writes table:
Empty DataFrame
Columns: [aid, pid]
Index: []
CREATE TABLE "cite" (
"cited" int,
"citing" int,
foreign key("cited") references "publication"("pid"),
foreign key("citing") references "publication"("pid")
)
3 rows from cite table:
Empty DataFrame
Columns: [cited, citing]
Index: []
|
academic | return me the paper in Databases area with the most citations . | SELECT t3.title FROM DOMAIN AS t2 JOIN domain_publication AS t1 ON t2.did = t1.did JOIN publication AS t3 ON t3.pid = t1.pid WHERE t2.name = "Databases" ORDER BY t3.citation_num DESC LIMIT 1; | CREATE TABLE "author" (
"aid" int,
"homepage" text,
"name" text,
"oid" int,
primary key("aid")
)
3 rows from author table:
Empty DataFrame
Columns: [aid, homepage, name, oid]
Index: []
CREATE TABLE "conference" (
"cid" int,
"homepage" text,
"name" text,
primary key ("cid")
)
3 rows from conference table:
Empty DataFrame
Columns: [cid, homepage, name]
Index: []
CREATE TABLE "domain" (
"did" int,
"name" text,
primary key ("did")
)
3 rows from domain table:
Empty DataFrame
Columns: [did, name]
Index: []
CREATE TABLE "domain_author" (
"aid" int,
"did" int,
primary key ("did", "aid"),
foreign key("aid") references `author`("aid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_author table:
Empty DataFrame
Columns: [aid, did]
Index: []
CREATE TABLE "domain_conference" (
"cid" int,
"did" int,
primary key ("did", "cid"),
foreign key("cid") references `conference`("cid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_conference table:
Empty DataFrame
Columns: [cid, did]
Index: []
CREATE TABLE "journal" (
"homepage" text,
"jid" int,
"name" text,
primary key("jid")
)
3 rows from journal table:
Empty DataFrame
Columns: [homepage, jid, name]
Index: []
CREATE TABLE "domain_journal" (
"did" int,
"jid" int,
primary key ("did", "jid"),
foreign key("jid") references "journal"("jid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_journal table:
Empty DataFrame
Columns: [did, jid]
Index: []
CREATE TABLE "keyword" (
"keyword" text,
"kid" int,
primary key("kid")
)
3 rows from keyword table:
Empty DataFrame
Columns: [keyword, kid]
Index: []
CREATE TABLE "domain_keyword" (
"did" int,
"kid" int,
primary key ("did", "kid"),
foreign key("kid") references "keyword"("kid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_keyword table:
Empty DataFrame
Columns: [did, kid]
Index: []
CREATE TABLE "publication" (
"abstract" text,
"cid" text,
"citation_num" int,
"jid" int,
"pid" int,
"reference_num" int,
"title" text,
"year" int,
primary key("pid"),
foreign key("jid") references "journal"("jid"),
foreign key("cid") references "conference"("cid")
)
3 rows from publication table:
Empty DataFrame
Columns: [abstract, cid, citation_num, jid, pid, reference_num, title, year]
Index: []
CREATE TABLE "domain_publication" (
"did" int,
"pid" int,
primary key ("did", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_publication table:
Empty DataFrame
Columns: [did, pid]
Index: []
CREATE TABLE "organization" (
"continent" text,
"homepage" text,
"name" text,
"oid" int,
primary key("oid")
)
3 rows from organization table:
Empty DataFrame
Columns: [continent, homepage, name, oid]
Index: []
CREATE TABLE "publication_keyword" (
"pid" int,
"kid" int,
primary key ("kid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("kid") references "keyword"("kid")
)
3 rows from publication_keyword table:
Empty DataFrame
Columns: [pid, kid]
Index: []
CREATE TABLE "writes" (
"aid" int,
"pid" int,
primary key ("aid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("aid") references "author"("aid")
)
3 rows from writes table:
Empty DataFrame
Columns: [aid, pid]
Index: []
CREATE TABLE "cite" (
"cited" int,
"citing" int,
foreign key("cited") references "publication"("pid"),
foreign key("citing") references "publication"("pid")
)
3 rows from cite table:
Empty DataFrame
Columns: [cited, citing]
Index: []
|
academic | return me the paper in PVLDB with the most citations . | SELECT t2.title FROM publication AS t2 JOIN journal AS t1 ON t2.jid = t1.jid WHERE t1.name = "PVLDB" ORDER BY t2.citation_num DESC LIMIT 1; | CREATE TABLE "author" (
"aid" int,
"homepage" text,
"name" text,
"oid" int,
primary key("aid")
)
3 rows from author table:
Empty DataFrame
Columns: [aid, homepage, name, oid]
Index: []
CREATE TABLE "conference" (
"cid" int,
"homepage" text,
"name" text,
primary key ("cid")
)
3 rows from conference table:
Empty DataFrame
Columns: [cid, homepage, name]
Index: []
CREATE TABLE "domain" (
"did" int,
"name" text,
primary key ("did")
)
3 rows from domain table:
Empty DataFrame
Columns: [did, name]
Index: []
CREATE TABLE "domain_author" (
"aid" int,
"did" int,
primary key ("did", "aid"),
foreign key("aid") references `author`("aid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_author table:
Empty DataFrame
Columns: [aid, did]
Index: []
CREATE TABLE "domain_conference" (
"cid" int,
"did" int,
primary key ("did", "cid"),
foreign key("cid") references `conference`("cid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_conference table:
Empty DataFrame
Columns: [cid, did]
Index: []
CREATE TABLE "journal" (
"homepage" text,
"jid" int,
"name" text,
primary key("jid")
)
3 rows from journal table:
Empty DataFrame
Columns: [homepage, jid, name]
Index: []
CREATE TABLE "domain_journal" (
"did" int,
"jid" int,
primary key ("did", "jid"),
foreign key("jid") references "journal"("jid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_journal table:
Empty DataFrame
Columns: [did, jid]
Index: []
CREATE TABLE "keyword" (
"keyword" text,
"kid" int,
primary key("kid")
)
3 rows from keyword table:
Empty DataFrame
Columns: [keyword, kid]
Index: []
CREATE TABLE "domain_keyword" (
"did" int,
"kid" int,
primary key ("did", "kid"),
foreign key("kid") references "keyword"("kid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_keyword table:
Empty DataFrame
Columns: [did, kid]
Index: []
CREATE TABLE "publication" (
"abstract" text,
"cid" text,
"citation_num" int,
"jid" int,
"pid" int,
"reference_num" int,
"title" text,
"year" int,
primary key("pid"),
foreign key("jid") references "journal"("jid"),
foreign key("cid") references "conference"("cid")
)
3 rows from publication table:
Empty DataFrame
Columns: [abstract, cid, citation_num, jid, pid, reference_num, title, year]
Index: []
CREATE TABLE "domain_publication" (
"did" int,
"pid" int,
primary key ("did", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_publication table:
Empty DataFrame
Columns: [did, pid]
Index: []
CREATE TABLE "organization" (
"continent" text,
"homepage" text,
"name" text,
"oid" int,
primary key("oid")
)
3 rows from organization table:
Empty DataFrame
Columns: [continent, homepage, name, oid]
Index: []
CREATE TABLE "publication_keyword" (
"pid" int,
"kid" int,
primary key ("kid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("kid") references "keyword"("kid")
)
3 rows from publication_keyword table:
Empty DataFrame
Columns: [pid, kid]
Index: []
CREATE TABLE "writes" (
"aid" int,
"pid" int,
primary key ("aid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("aid") references "author"("aid")
)
3 rows from writes table:
Empty DataFrame
Columns: [aid, pid]
Index: []
CREATE TABLE "cite" (
"cited" int,
"citing" int,
foreign key("cited") references "publication"("pid"),
foreign key("citing") references "publication"("pid")
)
3 rows from cite table:
Empty DataFrame
Columns: [cited, citing]
Index: []
|
academic | return me the paper in VLDB conference with the most citations . | SELECT t2.title FROM publication AS t2 JOIN conference AS t1 ON t2.cid = t1.cid WHERE t1.name = "VLDB" ORDER BY t2.citation_num DESC LIMIT 1; | CREATE TABLE "author" (
"aid" int,
"homepage" text,
"name" text,
"oid" int,
primary key("aid")
)
3 rows from author table:
Empty DataFrame
Columns: [aid, homepage, name, oid]
Index: []
CREATE TABLE "conference" (
"cid" int,
"homepage" text,
"name" text,
primary key ("cid")
)
3 rows from conference table:
Empty DataFrame
Columns: [cid, homepage, name]
Index: []
CREATE TABLE "domain" (
"did" int,
"name" text,
primary key ("did")
)
3 rows from domain table:
Empty DataFrame
Columns: [did, name]
Index: []
CREATE TABLE "domain_author" (
"aid" int,
"did" int,
primary key ("did", "aid"),
foreign key("aid") references `author`("aid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_author table:
Empty DataFrame
Columns: [aid, did]
Index: []
CREATE TABLE "domain_conference" (
"cid" int,
"did" int,
primary key ("did", "cid"),
foreign key("cid") references `conference`("cid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_conference table:
Empty DataFrame
Columns: [cid, did]
Index: []
CREATE TABLE "journal" (
"homepage" text,
"jid" int,
"name" text,
primary key("jid")
)
3 rows from journal table:
Empty DataFrame
Columns: [homepage, jid, name]
Index: []
CREATE TABLE "domain_journal" (
"did" int,
"jid" int,
primary key ("did", "jid"),
foreign key("jid") references "journal"("jid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_journal table:
Empty DataFrame
Columns: [did, jid]
Index: []
CREATE TABLE "keyword" (
"keyword" text,
"kid" int,
primary key("kid")
)
3 rows from keyword table:
Empty DataFrame
Columns: [keyword, kid]
Index: []
CREATE TABLE "domain_keyword" (
"did" int,
"kid" int,
primary key ("did", "kid"),
foreign key("kid") references "keyword"("kid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_keyword table:
Empty DataFrame
Columns: [did, kid]
Index: []
CREATE TABLE "publication" (
"abstract" text,
"cid" text,
"citation_num" int,
"jid" int,
"pid" int,
"reference_num" int,
"title" text,
"year" int,
primary key("pid"),
foreign key("jid") references "journal"("jid"),
foreign key("cid") references "conference"("cid")
)
3 rows from publication table:
Empty DataFrame
Columns: [abstract, cid, citation_num, jid, pid, reference_num, title, year]
Index: []
CREATE TABLE "domain_publication" (
"did" int,
"pid" int,
primary key ("did", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_publication table:
Empty DataFrame
Columns: [did, pid]
Index: []
CREATE TABLE "organization" (
"continent" text,
"homepage" text,
"name" text,
"oid" int,
primary key("oid")
)
3 rows from organization table:
Empty DataFrame
Columns: [continent, homepage, name, oid]
Index: []
CREATE TABLE "publication_keyword" (
"pid" int,
"kid" int,
primary key ("kid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("kid") references "keyword"("kid")
)
3 rows from publication_keyword table:
Empty DataFrame
Columns: [pid, kid]
Index: []
CREATE TABLE "writes" (
"aid" int,
"pid" int,
primary key ("aid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("aid") references "author"("aid")
)
3 rows from writes table:
Empty DataFrame
Columns: [aid, pid]
Index: []
CREATE TABLE "cite" (
"cited" int,
"citing" int,
foreign key("cited") references "publication"("pid"),
foreign key("citing") references "publication"("pid")
)
3 rows from cite table:
Empty DataFrame
Columns: [cited, citing]
Index: []
|
academic | return me the paper by " H. V. Jagadish " with the most citations . | SELECT t3.title FROM writes AS t2 JOIN author AS t1 ON t2.aid = t1.aid JOIN publication AS t3 ON t2.pid = t3.pid WHERE t1.name = "H. V. Jagadish" ORDER BY t3.citation_num DESC LIMIT 1; | CREATE TABLE "author" (
"aid" int,
"homepage" text,
"name" text,
"oid" int,
primary key("aid")
)
3 rows from author table:
Empty DataFrame
Columns: [aid, homepage, name, oid]
Index: []
CREATE TABLE "conference" (
"cid" int,
"homepage" text,
"name" text,
primary key ("cid")
)
3 rows from conference table:
Empty DataFrame
Columns: [cid, homepage, name]
Index: []
CREATE TABLE "domain" (
"did" int,
"name" text,
primary key ("did")
)
3 rows from domain table:
Empty DataFrame
Columns: [did, name]
Index: []
CREATE TABLE "domain_author" (
"aid" int,
"did" int,
primary key ("did", "aid"),
foreign key("aid") references `author`("aid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_author table:
Empty DataFrame
Columns: [aid, did]
Index: []
CREATE TABLE "domain_conference" (
"cid" int,
"did" int,
primary key ("did", "cid"),
foreign key("cid") references `conference`("cid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_conference table:
Empty DataFrame
Columns: [cid, did]
Index: []
CREATE TABLE "journal" (
"homepage" text,
"jid" int,
"name" text,
primary key("jid")
)
3 rows from journal table:
Empty DataFrame
Columns: [homepage, jid, name]
Index: []
CREATE TABLE "domain_journal" (
"did" int,
"jid" int,
primary key ("did", "jid"),
foreign key("jid") references "journal"("jid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_journal table:
Empty DataFrame
Columns: [did, jid]
Index: []
CREATE TABLE "keyword" (
"keyword" text,
"kid" int,
primary key("kid")
)
3 rows from keyword table:
Empty DataFrame
Columns: [keyword, kid]
Index: []
CREATE TABLE "domain_keyword" (
"did" int,
"kid" int,
primary key ("did", "kid"),
foreign key("kid") references "keyword"("kid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_keyword table:
Empty DataFrame
Columns: [did, kid]
Index: []
CREATE TABLE "publication" (
"abstract" text,
"cid" text,
"citation_num" int,
"jid" int,
"pid" int,
"reference_num" int,
"title" text,
"year" int,
primary key("pid"),
foreign key("jid") references "journal"("jid"),
foreign key("cid") references "conference"("cid")
)
3 rows from publication table:
Empty DataFrame
Columns: [abstract, cid, citation_num, jid, pid, reference_num, title, year]
Index: []
CREATE TABLE "domain_publication" (
"did" int,
"pid" int,
primary key ("did", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_publication table:
Empty DataFrame
Columns: [did, pid]
Index: []
CREATE TABLE "organization" (
"continent" text,
"homepage" text,
"name" text,
"oid" int,
primary key("oid")
)
3 rows from organization table:
Empty DataFrame
Columns: [continent, homepage, name, oid]
Index: []
CREATE TABLE "publication_keyword" (
"pid" int,
"kid" int,
primary key ("kid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("kid") references "keyword"("kid")
)
3 rows from publication_keyword table:
Empty DataFrame
Columns: [pid, kid]
Index: []
CREATE TABLE "writes" (
"aid" int,
"pid" int,
primary key ("aid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("aid") references "author"("aid")
)
3 rows from writes table:
Empty DataFrame
Columns: [aid, pid]
Index: []
CREATE TABLE "cite" (
"cited" int,
"citing" int,
foreign key("cited") references "publication"("pid"),
foreign key("citing") references "publication"("pid")
)
3 rows from cite table:
Empty DataFrame
Columns: [cited, citing]
Index: []
|
academic | return me the paper after 2000 with the most citations . | SELECT title FROM publication WHERE YEAR > 2000 ORDER BY citation_num DESC LIMIT 1; | CREATE TABLE "author" (
"aid" int,
"homepage" text,
"name" text,
"oid" int,
primary key("aid")
)
3 rows from author table:
Empty DataFrame
Columns: [aid, homepage, name, oid]
Index: []
CREATE TABLE "conference" (
"cid" int,
"homepage" text,
"name" text,
primary key ("cid")
)
3 rows from conference table:
Empty DataFrame
Columns: [cid, homepage, name]
Index: []
CREATE TABLE "domain" (
"did" int,
"name" text,
primary key ("did")
)
3 rows from domain table:
Empty DataFrame
Columns: [did, name]
Index: []
CREATE TABLE "domain_author" (
"aid" int,
"did" int,
primary key ("did", "aid"),
foreign key("aid") references `author`("aid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_author table:
Empty DataFrame
Columns: [aid, did]
Index: []
CREATE TABLE "domain_conference" (
"cid" int,
"did" int,
primary key ("did", "cid"),
foreign key("cid") references `conference`("cid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_conference table:
Empty DataFrame
Columns: [cid, did]
Index: []
CREATE TABLE "journal" (
"homepage" text,
"jid" int,
"name" text,
primary key("jid")
)
3 rows from journal table:
Empty DataFrame
Columns: [homepage, jid, name]
Index: []
CREATE TABLE "domain_journal" (
"did" int,
"jid" int,
primary key ("did", "jid"),
foreign key("jid") references "journal"("jid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_journal table:
Empty DataFrame
Columns: [did, jid]
Index: []
CREATE TABLE "keyword" (
"keyword" text,
"kid" int,
primary key("kid")
)
3 rows from keyword table:
Empty DataFrame
Columns: [keyword, kid]
Index: []
CREATE TABLE "domain_keyword" (
"did" int,
"kid" int,
primary key ("did", "kid"),
foreign key("kid") references "keyword"("kid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_keyword table:
Empty DataFrame
Columns: [did, kid]
Index: []
CREATE TABLE "publication" (
"abstract" text,
"cid" text,
"citation_num" int,
"jid" int,
"pid" int,
"reference_num" int,
"title" text,
"year" int,
primary key("pid"),
foreign key("jid") references "journal"("jid"),
foreign key("cid") references "conference"("cid")
)
3 rows from publication table:
Empty DataFrame
Columns: [abstract, cid, citation_num, jid, pid, reference_num, title, year]
Index: []
CREATE TABLE "domain_publication" (
"did" int,
"pid" int,
primary key ("did", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_publication table:
Empty DataFrame
Columns: [did, pid]
Index: []
CREATE TABLE "organization" (
"continent" text,
"homepage" text,
"name" text,
"oid" int,
primary key("oid")
)
3 rows from organization table:
Empty DataFrame
Columns: [continent, homepage, name, oid]
Index: []
CREATE TABLE "publication_keyword" (
"pid" int,
"kid" int,
primary key ("kid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("kid") references "keyword"("kid")
)
3 rows from publication_keyword table:
Empty DataFrame
Columns: [pid, kid]
Index: []
CREATE TABLE "writes" (
"aid" int,
"pid" int,
primary key ("aid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("aid") references "author"("aid")
)
3 rows from writes table:
Empty DataFrame
Columns: [aid, pid]
Index: []
CREATE TABLE "cite" (
"cited" int,
"citing" int,
foreign key("cited") references "publication"("pid"),
foreign key("citing") references "publication"("pid")
)
3 rows from cite table:
Empty DataFrame
Columns: [cited, citing]
Index: []
|
academic | return me the paper after 2000 in Databases area with the most citations . | SELECT t3.title FROM DOMAIN AS t2 JOIN domain_publication AS t1 ON t2.did = t1.did JOIN publication AS t3 ON t3.pid = t1.pid WHERE t2.name = "Databases" AND t3.year > 2000 ORDER BY t3.citation_num DESC LIMIT 1; | CREATE TABLE "author" (
"aid" int,
"homepage" text,
"name" text,
"oid" int,
primary key("aid")
)
3 rows from author table:
Empty DataFrame
Columns: [aid, homepage, name, oid]
Index: []
CREATE TABLE "conference" (
"cid" int,
"homepage" text,
"name" text,
primary key ("cid")
)
3 rows from conference table:
Empty DataFrame
Columns: [cid, homepage, name]
Index: []
CREATE TABLE "domain" (
"did" int,
"name" text,
primary key ("did")
)
3 rows from domain table:
Empty DataFrame
Columns: [did, name]
Index: []
CREATE TABLE "domain_author" (
"aid" int,
"did" int,
primary key ("did", "aid"),
foreign key("aid") references `author`("aid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_author table:
Empty DataFrame
Columns: [aid, did]
Index: []
CREATE TABLE "domain_conference" (
"cid" int,
"did" int,
primary key ("did", "cid"),
foreign key("cid") references `conference`("cid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_conference table:
Empty DataFrame
Columns: [cid, did]
Index: []
CREATE TABLE "journal" (
"homepage" text,
"jid" int,
"name" text,
primary key("jid")
)
3 rows from journal table:
Empty DataFrame
Columns: [homepage, jid, name]
Index: []
CREATE TABLE "domain_journal" (
"did" int,
"jid" int,
primary key ("did", "jid"),
foreign key("jid") references "journal"("jid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_journal table:
Empty DataFrame
Columns: [did, jid]
Index: []
CREATE TABLE "keyword" (
"keyword" text,
"kid" int,
primary key("kid")
)
3 rows from keyword table:
Empty DataFrame
Columns: [keyword, kid]
Index: []
CREATE TABLE "domain_keyword" (
"did" int,
"kid" int,
primary key ("did", "kid"),
foreign key("kid") references "keyword"("kid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_keyword table:
Empty DataFrame
Columns: [did, kid]
Index: []
CREATE TABLE "publication" (
"abstract" text,
"cid" text,
"citation_num" int,
"jid" int,
"pid" int,
"reference_num" int,
"title" text,
"year" int,
primary key("pid"),
foreign key("jid") references "journal"("jid"),
foreign key("cid") references "conference"("cid")
)
3 rows from publication table:
Empty DataFrame
Columns: [abstract, cid, citation_num, jid, pid, reference_num, title, year]
Index: []
CREATE TABLE "domain_publication" (
"did" int,
"pid" int,
primary key ("did", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_publication table:
Empty DataFrame
Columns: [did, pid]
Index: []
CREATE TABLE "organization" (
"continent" text,
"homepage" text,
"name" text,
"oid" int,
primary key("oid")
)
3 rows from organization table:
Empty DataFrame
Columns: [continent, homepage, name, oid]
Index: []
CREATE TABLE "publication_keyword" (
"pid" int,
"kid" int,
primary key ("kid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("kid") references "keyword"("kid")
)
3 rows from publication_keyword table:
Empty DataFrame
Columns: [pid, kid]
Index: []
CREATE TABLE "writes" (
"aid" int,
"pid" int,
primary key ("aid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("aid") references "author"("aid")
)
3 rows from writes table:
Empty DataFrame
Columns: [aid, pid]
Index: []
CREATE TABLE "cite" (
"cited" int,
"citing" int,
foreign key("cited") references "publication"("pid"),
foreign key("citing") references "publication"("pid")
)
3 rows from cite table:
Empty DataFrame
Columns: [cited, citing]
Index: []
|
academic | return me the paper after 2000 in PVLDB with the most citations . | SELECT t2.title FROM publication AS t2 JOIN journal AS t1 ON t2.jid = t1.jid WHERE t1.name = "PVLDB" AND t2.year > 2000 ORDER BY t2.citation_num DESC LIMIT 1; | CREATE TABLE "author" (
"aid" int,
"homepage" text,
"name" text,
"oid" int,
primary key("aid")
)
3 rows from author table:
Empty DataFrame
Columns: [aid, homepage, name, oid]
Index: []
CREATE TABLE "conference" (
"cid" int,
"homepage" text,
"name" text,
primary key ("cid")
)
3 rows from conference table:
Empty DataFrame
Columns: [cid, homepage, name]
Index: []
CREATE TABLE "domain" (
"did" int,
"name" text,
primary key ("did")
)
3 rows from domain table:
Empty DataFrame
Columns: [did, name]
Index: []
CREATE TABLE "domain_author" (
"aid" int,
"did" int,
primary key ("did", "aid"),
foreign key("aid") references `author`("aid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_author table:
Empty DataFrame
Columns: [aid, did]
Index: []
CREATE TABLE "domain_conference" (
"cid" int,
"did" int,
primary key ("did", "cid"),
foreign key("cid") references `conference`("cid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_conference table:
Empty DataFrame
Columns: [cid, did]
Index: []
CREATE TABLE "journal" (
"homepage" text,
"jid" int,
"name" text,
primary key("jid")
)
3 rows from journal table:
Empty DataFrame
Columns: [homepage, jid, name]
Index: []
CREATE TABLE "domain_journal" (
"did" int,
"jid" int,
primary key ("did", "jid"),
foreign key("jid") references "journal"("jid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_journal table:
Empty DataFrame
Columns: [did, jid]
Index: []
CREATE TABLE "keyword" (
"keyword" text,
"kid" int,
primary key("kid")
)
3 rows from keyword table:
Empty DataFrame
Columns: [keyword, kid]
Index: []
CREATE TABLE "domain_keyword" (
"did" int,
"kid" int,
primary key ("did", "kid"),
foreign key("kid") references "keyword"("kid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_keyword table:
Empty DataFrame
Columns: [did, kid]
Index: []
CREATE TABLE "publication" (
"abstract" text,
"cid" text,
"citation_num" int,
"jid" int,
"pid" int,
"reference_num" int,
"title" text,
"year" int,
primary key("pid"),
foreign key("jid") references "journal"("jid"),
foreign key("cid") references "conference"("cid")
)
3 rows from publication table:
Empty DataFrame
Columns: [abstract, cid, citation_num, jid, pid, reference_num, title, year]
Index: []
CREATE TABLE "domain_publication" (
"did" int,
"pid" int,
primary key ("did", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_publication table:
Empty DataFrame
Columns: [did, pid]
Index: []
CREATE TABLE "organization" (
"continent" text,
"homepage" text,
"name" text,
"oid" int,
primary key("oid")
)
3 rows from organization table:
Empty DataFrame
Columns: [continent, homepage, name, oid]
Index: []
CREATE TABLE "publication_keyword" (
"pid" int,
"kid" int,
primary key ("kid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("kid") references "keyword"("kid")
)
3 rows from publication_keyword table:
Empty DataFrame
Columns: [pid, kid]
Index: []
CREATE TABLE "writes" (
"aid" int,
"pid" int,
primary key ("aid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("aid") references "author"("aid")
)
3 rows from writes table:
Empty DataFrame
Columns: [aid, pid]
Index: []
CREATE TABLE "cite" (
"cited" int,
"citing" int,
foreign key("cited") references "publication"("pid"),
foreign key("citing") references "publication"("pid")
)
3 rows from cite table:
Empty DataFrame
Columns: [cited, citing]
Index: []
|
academic | return me the paper after 2000 in VLDB conference with the most citations . | SELECT t2.title FROM publication AS t2 JOIN conference AS t1 ON t2.cid = t1.cid WHERE t1.name = "VLDB" AND t2.year > 2000 ORDER BY t2.citation_num DESC LIMIT 1; | CREATE TABLE "author" (
"aid" int,
"homepage" text,
"name" text,
"oid" int,
primary key("aid")
)
3 rows from author table:
Empty DataFrame
Columns: [aid, homepage, name, oid]
Index: []
CREATE TABLE "conference" (
"cid" int,
"homepage" text,
"name" text,
primary key ("cid")
)
3 rows from conference table:
Empty DataFrame
Columns: [cid, homepage, name]
Index: []
CREATE TABLE "domain" (
"did" int,
"name" text,
primary key ("did")
)
3 rows from domain table:
Empty DataFrame
Columns: [did, name]
Index: []
CREATE TABLE "domain_author" (
"aid" int,
"did" int,
primary key ("did", "aid"),
foreign key("aid") references `author`("aid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_author table:
Empty DataFrame
Columns: [aid, did]
Index: []
CREATE TABLE "domain_conference" (
"cid" int,
"did" int,
primary key ("did", "cid"),
foreign key("cid") references `conference`("cid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_conference table:
Empty DataFrame
Columns: [cid, did]
Index: []
CREATE TABLE "journal" (
"homepage" text,
"jid" int,
"name" text,
primary key("jid")
)
3 rows from journal table:
Empty DataFrame
Columns: [homepage, jid, name]
Index: []
CREATE TABLE "domain_journal" (
"did" int,
"jid" int,
primary key ("did", "jid"),
foreign key("jid") references "journal"("jid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_journal table:
Empty DataFrame
Columns: [did, jid]
Index: []
CREATE TABLE "keyword" (
"keyword" text,
"kid" int,
primary key("kid")
)
3 rows from keyword table:
Empty DataFrame
Columns: [keyword, kid]
Index: []
CREATE TABLE "domain_keyword" (
"did" int,
"kid" int,
primary key ("did", "kid"),
foreign key("kid") references "keyword"("kid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_keyword table:
Empty DataFrame
Columns: [did, kid]
Index: []
CREATE TABLE "publication" (
"abstract" text,
"cid" text,
"citation_num" int,
"jid" int,
"pid" int,
"reference_num" int,
"title" text,
"year" int,
primary key("pid"),
foreign key("jid") references "journal"("jid"),
foreign key("cid") references "conference"("cid")
)
3 rows from publication table:
Empty DataFrame
Columns: [abstract, cid, citation_num, jid, pid, reference_num, title, year]
Index: []
CREATE TABLE "domain_publication" (
"did" int,
"pid" int,
primary key ("did", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_publication table:
Empty DataFrame
Columns: [did, pid]
Index: []
CREATE TABLE "organization" (
"continent" text,
"homepage" text,
"name" text,
"oid" int,
primary key("oid")
)
3 rows from organization table:
Empty DataFrame
Columns: [continent, homepage, name, oid]
Index: []
CREATE TABLE "publication_keyword" (
"pid" int,
"kid" int,
primary key ("kid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("kid") references "keyword"("kid")
)
3 rows from publication_keyword table:
Empty DataFrame
Columns: [pid, kid]
Index: []
CREATE TABLE "writes" (
"aid" int,
"pid" int,
primary key ("aid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("aid") references "author"("aid")
)
3 rows from writes table:
Empty DataFrame
Columns: [aid, pid]
Index: []
CREATE TABLE "cite" (
"cited" int,
"citing" int,
foreign key("cited") references "publication"("pid"),
foreign key("citing") references "publication"("pid")
)
3 rows from cite table:
Empty DataFrame
Columns: [cited, citing]
Index: []
|
academic | return me the authors who have more than 10 papers in PVLDB . | SELECT t1.name FROM publication AS t4 JOIN journal AS t2 ON t4.jid = t2.jid JOIN writes AS t3 ON t3.pid = t4.pid JOIN author AS t1 ON t3.aid = t1.aid WHERE t2.name = "PVLDB" GROUP BY t1.name HAVING COUNT ( DISTINCT t4.title ) > 10; | CREATE TABLE "author" (
"aid" int,
"homepage" text,
"name" text,
"oid" int,
primary key("aid")
)
3 rows from author table:
Empty DataFrame
Columns: [aid, homepage, name, oid]
Index: []
CREATE TABLE "conference" (
"cid" int,
"homepage" text,
"name" text,
primary key ("cid")
)
3 rows from conference table:
Empty DataFrame
Columns: [cid, homepage, name]
Index: []
CREATE TABLE "domain" (
"did" int,
"name" text,
primary key ("did")
)
3 rows from domain table:
Empty DataFrame
Columns: [did, name]
Index: []
CREATE TABLE "domain_author" (
"aid" int,
"did" int,
primary key ("did", "aid"),
foreign key("aid") references `author`("aid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_author table:
Empty DataFrame
Columns: [aid, did]
Index: []
CREATE TABLE "domain_conference" (
"cid" int,
"did" int,
primary key ("did", "cid"),
foreign key("cid") references `conference`("cid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_conference table:
Empty DataFrame
Columns: [cid, did]
Index: []
CREATE TABLE "journal" (
"homepage" text,
"jid" int,
"name" text,
primary key("jid")
)
3 rows from journal table:
Empty DataFrame
Columns: [homepage, jid, name]
Index: []
CREATE TABLE "domain_journal" (
"did" int,
"jid" int,
primary key ("did", "jid"),
foreign key("jid") references "journal"("jid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_journal table:
Empty DataFrame
Columns: [did, jid]
Index: []
CREATE TABLE "keyword" (
"keyword" text,
"kid" int,
primary key("kid")
)
3 rows from keyword table:
Empty DataFrame
Columns: [keyword, kid]
Index: []
CREATE TABLE "domain_keyword" (
"did" int,
"kid" int,
primary key ("did", "kid"),
foreign key("kid") references "keyword"("kid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_keyword table:
Empty DataFrame
Columns: [did, kid]
Index: []
CREATE TABLE "publication" (
"abstract" text,
"cid" text,
"citation_num" int,
"jid" int,
"pid" int,
"reference_num" int,
"title" text,
"year" int,
primary key("pid"),
foreign key("jid") references "journal"("jid"),
foreign key("cid") references "conference"("cid")
)
3 rows from publication table:
Empty DataFrame
Columns: [abstract, cid, citation_num, jid, pid, reference_num, title, year]
Index: []
CREATE TABLE "domain_publication" (
"did" int,
"pid" int,
primary key ("did", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_publication table:
Empty DataFrame
Columns: [did, pid]
Index: []
CREATE TABLE "organization" (
"continent" text,
"homepage" text,
"name" text,
"oid" int,
primary key("oid")
)
3 rows from organization table:
Empty DataFrame
Columns: [continent, homepage, name, oid]
Index: []
CREATE TABLE "publication_keyword" (
"pid" int,
"kid" int,
primary key ("kid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("kid") references "keyword"("kid")
)
3 rows from publication_keyword table:
Empty DataFrame
Columns: [pid, kid]
Index: []
CREATE TABLE "writes" (
"aid" int,
"pid" int,
primary key ("aid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("aid") references "author"("aid")
)
3 rows from writes table:
Empty DataFrame
Columns: [aid, pid]
Index: []
CREATE TABLE "cite" (
"cited" int,
"citing" int,
foreign key("cited") references "publication"("pid"),
foreign key("citing") references "publication"("pid")
)
3 rows from cite table:
Empty DataFrame
Columns: [cited, citing]
Index: []
|
academic | return me the authors who have the most number of papers in PVLDB . | SELECT t1.name FROM publication AS t4 JOIN journal AS t2 ON t4.jid = t2.jid JOIN writes AS t3 ON t3.pid = t4.pid JOIN author AS t1 ON t3.aid = t1.aid WHERE t2.name = "PVLDB" GROUP BY t1.name ORDER BY COUNT ( DISTINCT t4.title ) DESC LIMIT 1; | CREATE TABLE "author" (
"aid" int,
"homepage" text,
"name" text,
"oid" int,
primary key("aid")
)
3 rows from author table:
Empty DataFrame
Columns: [aid, homepage, name, oid]
Index: []
CREATE TABLE "conference" (
"cid" int,
"homepage" text,
"name" text,
primary key ("cid")
)
3 rows from conference table:
Empty DataFrame
Columns: [cid, homepage, name]
Index: []
CREATE TABLE "domain" (
"did" int,
"name" text,
primary key ("did")
)
3 rows from domain table:
Empty DataFrame
Columns: [did, name]
Index: []
CREATE TABLE "domain_author" (
"aid" int,
"did" int,
primary key ("did", "aid"),
foreign key("aid") references `author`("aid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_author table:
Empty DataFrame
Columns: [aid, did]
Index: []
CREATE TABLE "domain_conference" (
"cid" int,
"did" int,
primary key ("did", "cid"),
foreign key("cid") references `conference`("cid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_conference table:
Empty DataFrame
Columns: [cid, did]
Index: []
CREATE TABLE "journal" (
"homepage" text,
"jid" int,
"name" text,
primary key("jid")
)
3 rows from journal table:
Empty DataFrame
Columns: [homepage, jid, name]
Index: []
CREATE TABLE "domain_journal" (
"did" int,
"jid" int,
primary key ("did", "jid"),
foreign key("jid") references "journal"("jid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_journal table:
Empty DataFrame
Columns: [did, jid]
Index: []
CREATE TABLE "keyword" (
"keyword" text,
"kid" int,
primary key("kid")
)
3 rows from keyword table:
Empty DataFrame
Columns: [keyword, kid]
Index: []
CREATE TABLE "domain_keyword" (
"did" int,
"kid" int,
primary key ("did", "kid"),
foreign key("kid") references "keyword"("kid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_keyword table:
Empty DataFrame
Columns: [did, kid]
Index: []
CREATE TABLE "publication" (
"abstract" text,
"cid" text,
"citation_num" int,
"jid" int,
"pid" int,
"reference_num" int,
"title" text,
"year" int,
primary key("pid"),
foreign key("jid") references "journal"("jid"),
foreign key("cid") references "conference"("cid")
)
3 rows from publication table:
Empty DataFrame
Columns: [abstract, cid, citation_num, jid, pid, reference_num, title, year]
Index: []
CREATE TABLE "domain_publication" (
"did" int,
"pid" int,
primary key ("did", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_publication table:
Empty DataFrame
Columns: [did, pid]
Index: []
CREATE TABLE "organization" (
"continent" text,
"homepage" text,
"name" text,
"oid" int,
primary key("oid")
)
3 rows from organization table:
Empty DataFrame
Columns: [continent, homepage, name, oid]
Index: []
CREATE TABLE "publication_keyword" (
"pid" int,
"kid" int,
primary key ("kid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("kid") references "keyword"("kid")
)
3 rows from publication_keyword table:
Empty DataFrame
Columns: [pid, kid]
Index: []
CREATE TABLE "writes" (
"aid" int,
"pid" int,
primary key ("aid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("aid") references "author"("aid")
)
3 rows from writes table:
Empty DataFrame
Columns: [aid, pid]
Index: []
CREATE TABLE "cite" (
"cited" int,
"citing" int,
foreign key("cited") references "publication"("pid"),
foreign key("citing") references "publication"("pid")
)
3 rows from cite table:
Empty DataFrame
Columns: [cited, citing]
Index: []
|
academic | return me the authors who have more than 10 papers containing keyword " Relational Database " . | SELECT t2.name FROM publication_keyword AS t5 JOIN keyword AS t1 ON t5.kid = t1.kid JOIN publication AS t3 ON t3.pid = t5.pid JOIN writes AS t4 ON t4.pid = t3.pid JOIN author AS t2 ON t4.aid = t2.aid WHERE t1.keyword = "Relational Database" GROUP BY t2.name HAVING COUNT ( DISTINCT t3.title ) > 10; | CREATE TABLE "author" (
"aid" int,
"homepage" text,
"name" text,
"oid" int,
primary key("aid")
)
3 rows from author table:
Empty DataFrame
Columns: [aid, homepage, name, oid]
Index: []
CREATE TABLE "conference" (
"cid" int,
"homepage" text,
"name" text,
primary key ("cid")
)
3 rows from conference table:
Empty DataFrame
Columns: [cid, homepage, name]
Index: []
CREATE TABLE "domain" (
"did" int,
"name" text,
primary key ("did")
)
3 rows from domain table:
Empty DataFrame
Columns: [did, name]
Index: []
CREATE TABLE "domain_author" (
"aid" int,
"did" int,
primary key ("did", "aid"),
foreign key("aid") references `author`("aid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_author table:
Empty DataFrame
Columns: [aid, did]
Index: []
CREATE TABLE "domain_conference" (
"cid" int,
"did" int,
primary key ("did", "cid"),
foreign key("cid") references `conference`("cid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_conference table:
Empty DataFrame
Columns: [cid, did]
Index: []
CREATE TABLE "journal" (
"homepage" text,
"jid" int,
"name" text,
primary key("jid")
)
3 rows from journal table:
Empty DataFrame
Columns: [homepage, jid, name]
Index: []
CREATE TABLE "domain_journal" (
"did" int,
"jid" int,
primary key ("did", "jid"),
foreign key("jid") references "journal"("jid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_journal table:
Empty DataFrame
Columns: [did, jid]
Index: []
CREATE TABLE "keyword" (
"keyword" text,
"kid" int,
primary key("kid")
)
3 rows from keyword table:
Empty DataFrame
Columns: [keyword, kid]
Index: []
CREATE TABLE "domain_keyword" (
"did" int,
"kid" int,
primary key ("did", "kid"),
foreign key("kid") references "keyword"("kid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_keyword table:
Empty DataFrame
Columns: [did, kid]
Index: []
CREATE TABLE "publication" (
"abstract" text,
"cid" text,
"citation_num" int,
"jid" int,
"pid" int,
"reference_num" int,
"title" text,
"year" int,
primary key("pid"),
foreign key("jid") references "journal"("jid"),
foreign key("cid") references "conference"("cid")
)
3 rows from publication table:
Empty DataFrame
Columns: [abstract, cid, citation_num, jid, pid, reference_num, title, year]
Index: []
CREATE TABLE "domain_publication" (
"did" int,
"pid" int,
primary key ("did", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_publication table:
Empty DataFrame
Columns: [did, pid]
Index: []
CREATE TABLE "organization" (
"continent" text,
"homepage" text,
"name" text,
"oid" int,
primary key("oid")
)
3 rows from organization table:
Empty DataFrame
Columns: [continent, homepage, name, oid]
Index: []
CREATE TABLE "publication_keyword" (
"pid" int,
"kid" int,
primary key ("kid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("kid") references "keyword"("kid")
)
3 rows from publication_keyword table:
Empty DataFrame
Columns: [pid, kid]
Index: []
CREATE TABLE "writes" (
"aid" int,
"pid" int,
primary key ("aid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("aid") references "author"("aid")
)
3 rows from writes table:
Empty DataFrame
Columns: [aid, pid]
Index: []
CREATE TABLE "cite" (
"cited" int,
"citing" int,
foreign key("cited") references "publication"("pid"),
foreign key("citing") references "publication"("pid")
)
3 rows from cite table:
Empty DataFrame
Columns: [cited, citing]
Index: []
|
academic | return me the conferences, which have more than 60 papers containing keyword " Relational Database " . | SELECT t2.name FROM publication_keyword AS t4 JOIN keyword AS t1 ON t4.kid = t1.kid JOIN publication AS t3 ON t3.pid = t4.pid JOIN conference AS t2 ON t3.cid = t2.cid WHERE t1.keyword = "Relational Database" GROUP BY t2.name HAVING COUNT ( DISTINCT t3.title ) > 60; | CREATE TABLE "author" (
"aid" int,
"homepage" text,
"name" text,
"oid" int,
primary key("aid")
)
3 rows from author table:
Empty DataFrame
Columns: [aid, homepage, name, oid]
Index: []
CREATE TABLE "conference" (
"cid" int,
"homepage" text,
"name" text,
primary key ("cid")
)
3 rows from conference table:
Empty DataFrame
Columns: [cid, homepage, name]
Index: []
CREATE TABLE "domain" (
"did" int,
"name" text,
primary key ("did")
)
3 rows from domain table:
Empty DataFrame
Columns: [did, name]
Index: []
CREATE TABLE "domain_author" (
"aid" int,
"did" int,
primary key ("did", "aid"),
foreign key("aid") references `author`("aid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_author table:
Empty DataFrame
Columns: [aid, did]
Index: []
CREATE TABLE "domain_conference" (
"cid" int,
"did" int,
primary key ("did", "cid"),
foreign key("cid") references `conference`("cid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_conference table:
Empty DataFrame
Columns: [cid, did]
Index: []
CREATE TABLE "journal" (
"homepage" text,
"jid" int,
"name" text,
primary key("jid")
)
3 rows from journal table:
Empty DataFrame
Columns: [homepage, jid, name]
Index: []
CREATE TABLE "domain_journal" (
"did" int,
"jid" int,
primary key ("did", "jid"),
foreign key("jid") references "journal"("jid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_journal table:
Empty DataFrame
Columns: [did, jid]
Index: []
CREATE TABLE "keyword" (
"keyword" text,
"kid" int,
primary key("kid")
)
3 rows from keyword table:
Empty DataFrame
Columns: [keyword, kid]
Index: []
CREATE TABLE "domain_keyword" (
"did" int,
"kid" int,
primary key ("did", "kid"),
foreign key("kid") references "keyword"("kid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_keyword table:
Empty DataFrame
Columns: [did, kid]
Index: []
CREATE TABLE "publication" (
"abstract" text,
"cid" text,
"citation_num" int,
"jid" int,
"pid" int,
"reference_num" int,
"title" text,
"year" int,
primary key("pid"),
foreign key("jid") references "journal"("jid"),
foreign key("cid") references "conference"("cid")
)
3 rows from publication table:
Empty DataFrame
Columns: [abstract, cid, citation_num, jid, pid, reference_num, title, year]
Index: []
CREATE TABLE "domain_publication" (
"did" int,
"pid" int,
primary key ("did", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_publication table:
Empty DataFrame
Columns: [did, pid]
Index: []
CREATE TABLE "organization" (
"continent" text,
"homepage" text,
"name" text,
"oid" int,
primary key("oid")
)
3 rows from organization table:
Empty DataFrame
Columns: [continent, homepage, name, oid]
Index: []
CREATE TABLE "publication_keyword" (
"pid" int,
"kid" int,
primary key ("kid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("kid") references "keyword"("kid")
)
3 rows from publication_keyword table:
Empty DataFrame
Columns: [pid, kid]
Index: []
CREATE TABLE "writes" (
"aid" int,
"pid" int,
primary key ("aid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("aid") references "author"("aid")
)
3 rows from writes table:
Empty DataFrame
Columns: [aid, pid]
Index: []
CREATE TABLE "cite" (
"cited" int,
"citing" int,
foreign key("cited") references "publication"("pid"),
foreign key("citing") references "publication"("pid")
)
3 rows from cite table:
Empty DataFrame
Columns: [cited, citing]
Index: []
|
academic | return me the journals, which have more than 60 papers containing keyword " Relational Database " . | SELECT t3.name FROM publication_keyword AS t4 JOIN keyword AS t1 ON t4.kid = t1.kid JOIN publication AS t2 ON t2.pid = t4.pid JOIN journal AS t3 ON t2.jid = t3.jid WHERE t1.keyword = "Relational Database" GROUP BY t3.name HAVING COUNT ( DISTINCT t2.title ) > 60; | CREATE TABLE "author" (
"aid" int,
"homepage" text,
"name" text,
"oid" int,
primary key("aid")
)
3 rows from author table:
Empty DataFrame
Columns: [aid, homepage, name, oid]
Index: []
CREATE TABLE "conference" (
"cid" int,
"homepage" text,
"name" text,
primary key ("cid")
)
3 rows from conference table:
Empty DataFrame
Columns: [cid, homepage, name]
Index: []
CREATE TABLE "domain" (
"did" int,
"name" text,
primary key ("did")
)
3 rows from domain table:
Empty DataFrame
Columns: [did, name]
Index: []
CREATE TABLE "domain_author" (
"aid" int,
"did" int,
primary key ("did", "aid"),
foreign key("aid") references `author`("aid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_author table:
Empty DataFrame
Columns: [aid, did]
Index: []
CREATE TABLE "domain_conference" (
"cid" int,
"did" int,
primary key ("did", "cid"),
foreign key("cid") references `conference`("cid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_conference table:
Empty DataFrame
Columns: [cid, did]
Index: []
CREATE TABLE "journal" (
"homepage" text,
"jid" int,
"name" text,
primary key("jid")
)
3 rows from journal table:
Empty DataFrame
Columns: [homepage, jid, name]
Index: []
CREATE TABLE "domain_journal" (
"did" int,
"jid" int,
primary key ("did", "jid"),
foreign key("jid") references "journal"("jid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_journal table:
Empty DataFrame
Columns: [did, jid]
Index: []
CREATE TABLE "keyword" (
"keyword" text,
"kid" int,
primary key("kid")
)
3 rows from keyword table:
Empty DataFrame
Columns: [keyword, kid]
Index: []
CREATE TABLE "domain_keyword" (
"did" int,
"kid" int,
primary key ("did", "kid"),
foreign key("kid") references "keyword"("kid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_keyword table:
Empty DataFrame
Columns: [did, kid]
Index: []
CREATE TABLE "publication" (
"abstract" text,
"cid" text,
"citation_num" int,
"jid" int,
"pid" int,
"reference_num" int,
"title" text,
"year" int,
primary key("pid"),
foreign key("jid") references "journal"("jid"),
foreign key("cid") references "conference"("cid")
)
3 rows from publication table:
Empty DataFrame
Columns: [abstract, cid, citation_num, jid, pid, reference_num, title, year]
Index: []
CREATE TABLE "domain_publication" (
"did" int,
"pid" int,
primary key ("did", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_publication table:
Empty DataFrame
Columns: [did, pid]
Index: []
CREATE TABLE "organization" (
"continent" text,
"homepage" text,
"name" text,
"oid" int,
primary key("oid")
)
3 rows from organization table:
Empty DataFrame
Columns: [continent, homepage, name, oid]
Index: []
CREATE TABLE "publication_keyword" (
"pid" int,
"kid" int,
primary key ("kid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("kid") references "keyword"("kid")
)
3 rows from publication_keyword table:
Empty DataFrame
Columns: [pid, kid]
Index: []
CREATE TABLE "writes" (
"aid" int,
"pid" int,
primary key ("aid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("aid") references "author"("aid")
)
3 rows from writes table:
Empty DataFrame
Columns: [aid, pid]
Index: []
CREATE TABLE "cite" (
"cited" int,
"citing" int,
foreign key("cited") references "publication"("pid"),
foreign key("citing") references "publication"("pid")
)
3 rows from cite table:
Empty DataFrame
Columns: [cited, citing]
Index: []
|
academic | return me the keywords, which have been contained by more than 100 papers in VLDB conference . | SELECT t1.keyword FROM publication_keyword AS t4 JOIN keyword AS t1 ON t4.kid = t1.kid JOIN publication AS t3 ON t3.pid = t4.pid JOIN conference AS t2 ON t3.cid = t2.cid WHERE t2.name = "VLDB" GROUP BY t1.keyword HAVING COUNT ( DISTINCT t3.title ) > 100; | CREATE TABLE "author" (
"aid" int,
"homepage" text,
"name" text,
"oid" int,
primary key("aid")
)
3 rows from author table:
Empty DataFrame
Columns: [aid, homepage, name, oid]
Index: []
CREATE TABLE "conference" (
"cid" int,
"homepage" text,
"name" text,
primary key ("cid")
)
3 rows from conference table:
Empty DataFrame
Columns: [cid, homepage, name]
Index: []
CREATE TABLE "domain" (
"did" int,
"name" text,
primary key ("did")
)
3 rows from domain table:
Empty DataFrame
Columns: [did, name]
Index: []
CREATE TABLE "domain_author" (
"aid" int,
"did" int,
primary key ("did", "aid"),
foreign key("aid") references `author`("aid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_author table:
Empty DataFrame
Columns: [aid, did]
Index: []
CREATE TABLE "domain_conference" (
"cid" int,
"did" int,
primary key ("did", "cid"),
foreign key("cid") references `conference`("cid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_conference table:
Empty DataFrame
Columns: [cid, did]
Index: []
CREATE TABLE "journal" (
"homepage" text,
"jid" int,
"name" text,
primary key("jid")
)
3 rows from journal table:
Empty DataFrame
Columns: [homepage, jid, name]
Index: []
CREATE TABLE "domain_journal" (
"did" int,
"jid" int,
primary key ("did", "jid"),
foreign key("jid") references "journal"("jid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_journal table:
Empty DataFrame
Columns: [did, jid]
Index: []
CREATE TABLE "keyword" (
"keyword" text,
"kid" int,
primary key("kid")
)
3 rows from keyword table:
Empty DataFrame
Columns: [keyword, kid]
Index: []
CREATE TABLE "domain_keyword" (
"did" int,
"kid" int,
primary key ("did", "kid"),
foreign key("kid") references "keyword"("kid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_keyword table:
Empty DataFrame
Columns: [did, kid]
Index: []
CREATE TABLE "publication" (
"abstract" text,
"cid" text,
"citation_num" int,
"jid" int,
"pid" int,
"reference_num" int,
"title" text,
"year" int,
primary key("pid"),
foreign key("jid") references "journal"("jid"),
foreign key("cid") references "conference"("cid")
)
3 rows from publication table:
Empty DataFrame
Columns: [abstract, cid, citation_num, jid, pid, reference_num, title, year]
Index: []
CREATE TABLE "domain_publication" (
"did" int,
"pid" int,
primary key ("did", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_publication table:
Empty DataFrame
Columns: [did, pid]
Index: []
CREATE TABLE "organization" (
"continent" text,
"homepage" text,
"name" text,
"oid" int,
primary key("oid")
)
3 rows from organization table:
Empty DataFrame
Columns: [continent, homepage, name, oid]
Index: []
CREATE TABLE "publication_keyword" (
"pid" int,
"kid" int,
primary key ("kid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("kid") references "keyword"("kid")
)
3 rows from publication_keyword table:
Empty DataFrame
Columns: [pid, kid]
Index: []
CREATE TABLE "writes" (
"aid" int,
"pid" int,
primary key ("aid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("aid") references "author"("aid")
)
3 rows from writes table:
Empty DataFrame
Columns: [aid, pid]
Index: []
CREATE TABLE "cite" (
"cited" int,
"citing" int,
foreign key("cited") references "publication"("pid"),
foreign key("citing") references "publication"("pid")
)
3 rows from cite table:
Empty DataFrame
Columns: [cited, citing]
Index: []
|
academic | return me the keywords, which have been contained by more than 100 papers in PVLDB . | SELECT t1.keyword FROM publication_keyword AS t4 JOIN keyword AS t1 ON t4.kid = t1.kid JOIN publication AS t2 ON t2.pid = t4.pid JOIN journal AS t3 ON t2.jid = t3.jid WHERE t3.name = "PVLDB" GROUP BY t1.keyword HAVING COUNT ( DISTINCT t2.title ) > 100; | CREATE TABLE "author" (
"aid" int,
"homepage" text,
"name" text,
"oid" int,
primary key("aid")
)
3 rows from author table:
Empty DataFrame
Columns: [aid, homepage, name, oid]
Index: []
CREATE TABLE "conference" (
"cid" int,
"homepage" text,
"name" text,
primary key ("cid")
)
3 rows from conference table:
Empty DataFrame
Columns: [cid, homepage, name]
Index: []
CREATE TABLE "domain" (
"did" int,
"name" text,
primary key ("did")
)
3 rows from domain table:
Empty DataFrame
Columns: [did, name]
Index: []
CREATE TABLE "domain_author" (
"aid" int,
"did" int,
primary key ("did", "aid"),
foreign key("aid") references `author`("aid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_author table:
Empty DataFrame
Columns: [aid, did]
Index: []
CREATE TABLE "domain_conference" (
"cid" int,
"did" int,
primary key ("did", "cid"),
foreign key("cid") references `conference`("cid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_conference table:
Empty DataFrame
Columns: [cid, did]
Index: []
CREATE TABLE "journal" (
"homepage" text,
"jid" int,
"name" text,
primary key("jid")
)
3 rows from journal table:
Empty DataFrame
Columns: [homepage, jid, name]
Index: []
CREATE TABLE "domain_journal" (
"did" int,
"jid" int,
primary key ("did", "jid"),
foreign key("jid") references "journal"("jid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_journal table:
Empty DataFrame
Columns: [did, jid]
Index: []
CREATE TABLE "keyword" (
"keyword" text,
"kid" int,
primary key("kid")
)
3 rows from keyword table:
Empty DataFrame
Columns: [keyword, kid]
Index: []
CREATE TABLE "domain_keyword" (
"did" int,
"kid" int,
primary key ("did", "kid"),
foreign key("kid") references "keyword"("kid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_keyword table:
Empty DataFrame
Columns: [did, kid]
Index: []
CREATE TABLE "publication" (
"abstract" text,
"cid" text,
"citation_num" int,
"jid" int,
"pid" int,
"reference_num" int,
"title" text,
"year" int,
primary key("pid"),
foreign key("jid") references "journal"("jid"),
foreign key("cid") references "conference"("cid")
)
3 rows from publication table:
Empty DataFrame
Columns: [abstract, cid, citation_num, jid, pid, reference_num, title, year]
Index: []
CREATE TABLE "domain_publication" (
"did" int,
"pid" int,
primary key ("did", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_publication table:
Empty DataFrame
Columns: [did, pid]
Index: []
CREATE TABLE "organization" (
"continent" text,
"homepage" text,
"name" text,
"oid" int,
primary key("oid")
)
3 rows from organization table:
Empty DataFrame
Columns: [continent, homepage, name, oid]
Index: []
CREATE TABLE "publication_keyword" (
"pid" int,
"kid" int,
primary key ("kid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("kid") references "keyword"("kid")
)
3 rows from publication_keyword table:
Empty DataFrame
Columns: [pid, kid]
Index: []
CREATE TABLE "writes" (
"aid" int,
"pid" int,
primary key ("aid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("aid") references "author"("aid")
)
3 rows from writes table:
Empty DataFrame
Columns: [aid, pid]
Index: []
CREATE TABLE "cite" (
"cited" int,
"citing" int,
foreign key("cited") references "publication"("pid"),
foreign key("citing") references "publication"("pid")
)
3 rows from cite table:
Empty DataFrame
Columns: [cited, citing]
Index: []
|
academic | return me the keywords, which have been contained by more than 10 papers of " H. V. Jagadish " . | SELECT t1.keyword FROM publication_keyword AS t5 JOIN keyword AS t1 ON t5.kid = t1.kid JOIN publication AS t3 ON t3.pid = t5.pid JOIN writes AS t4 ON t4.pid = t3.pid JOIN author AS t2 ON t4.aid = t2.aid WHERE t2.name = "H. V. Jagadish" GROUP BY t1.keyword HAVING COUNT ( DISTINCT t3.title ) > 10; | CREATE TABLE "author" (
"aid" int,
"homepage" text,
"name" text,
"oid" int,
primary key("aid")
)
3 rows from author table:
Empty DataFrame
Columns: [aid, homepage, name, oid]
Index: []
CREATE TABLE "conference" (
"cid" int,
"homepage" text,
"name" text,
primary key ("cid")
)
3 rows from conference table:
Empty DataFrame
Columns: [cid, homepage, name]
Index: []
CREATE TABLE "domain" (
"did" int,
"name" text,
primary key ("did")
)
3 rows from domain table:
Empty DataFrame
Columns: [did, name]
Index: []
CREATE TABLE "domain_author" (
"aid" int,
"did" int,
primary key ("did", "aid"),
foreign key("aid") references `author`("aid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_author table:
Empty DataFrame
Columns: [aid, did]
Index: []
CREATE TABLE "domain_conference" (
"cid" int,
"did" int,
primary key ("did", "cid"),
foreign key("cid") references `conference`("cid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_conference table:
Empty DataFrame
Columns: [cid, did]
Index: []
CREATE TABLE "journal" (
"homepage" text,
"jid" int,
"name" text,
primary key("jid")
)
3 rows from journal table:
Empty DataFrame
Columns: [homepage, jid, name]
Index: []
CREATE TABLE "domain_journal" (
"did" int,
"jid" int,
primary key ("did", "jid"),
foreign key("jid") references "journal"("jid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_journal table:
Empty DataFrame
Columns: [did, jid]
Index: []
CREATE TABLE "keyword" (
"keyword" text,
"kid" int,
primary key("kid")
)
3 rows from keyword table:
Empty DataFrame
Columns: [keyword, kid]
Index: []
CREATE TABLE "domain_keyword" (
"did" int,
"kid" int,
primary key ("did", "kid"),
foreign key("kid") references "keyword"("kid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_keyword table:
Empty DataFrame
Columns: [did, kid]
Index: []
CREATE TABLE "publication" (
"abstract" text,
"cid" text,
"citation_num" int,
"jid" int,
"pid" int,
"reference_num" int,
"title" text,
"year" int,
primary key("pid"),
foreign key("jid") references "journal"("jid"),
foreign key("cid") references "conference"("cid")
)
3 rows from publication table:
Empty DataFrame
Columns: [abstract, cid, citation_num, jid, pid, reference_num, title, year]
Index: []
CREATE TABLE "domain_publication" (
"did" int,
"pid" int,
primary key ("did", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_publication table:
Empty DataFrame
Columns: [did, pid]
Index: []
CREATE TABLE "organization" (
"continent" text,
"homepage" text,
"name" text,
"oid" int,
primary key("oid")
)
3 rows from organization table:
Empty DataFrame
Columns: [continent, homepage, name, oid]
Index: []
CREATE TABLE "publication_keyword" (
"pid" int,
"kid" int,
primary key ("kid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("kid") references "keyword"("kid")
)
3 rows from publication_keyword table:
Empty DataFrame
Columns: [pid, kid]
Index: []
CREATE TABLE "writes" (
"aid" int,
"pid" int,
primary key ("aid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("aid") references "author"("aid")
)
3 rows from writes table:
Empty DataFrame
Columns: [aid, pid]
Index: []
CREATE TABLE "cite" (
"cited" int,
"citing" int,
foreign key("cited") references "publication"("pid"),
foreign key("citing") references "publication"("pid")
)
3 rows from cite table:
Empty DataFrame
Columns: [cited, citing]
Index: []
|
academic | return me the authors who have more than 10 papers in the VLDB conference . | SELECT t1.name FROM publication AS t4 JOIN conference AS t2 ON t4.cid = t2.cid JOIN writes AS t3 ON t3.pid = t4.pid JOIN author AS t1 ON t3.aid = t1.aid WHERE t2.name = "VLDB" GROUP BY t1.name HAVING COUNT ( DISTINCT t4.title ) > 10; | CREATE TABLE "author" (
"aid" int,
"homepage" text,
"name" text,
"oid" int,
primary key("aid")
)
3 rows from author table:
Empty DataFrame
Columns: [aid, homepage, name, oid]
Index: []
CREATE TABLE "conference" (
"cid" int,
"homepage" text,
"name" text,
primary key ("cid")
)
3 rows from conference table:
Empty DataFrame
Columns: [cid, homepage, name]
Index: []
CREATE TABLE "domain" (
"did" int,
"name" text,
primary key ("did")
)
3 rows from domain table:
Empty DataFrame
Columns: [did, name]
Index: []
CREATE TABLE "domain_author" (
"aid" int,
"did" int,
primary key ("did", "aid"),
foreign key("aid") references `author`("aid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_author table:
Empty DataFrame
Columns: [aid, did]
Index: []
CREATE TABLE "domain_conference" (
"cid" int,
"did" int,
primary key ("did", "cid"),
foreign key("cid") references `conference`("cid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_conference table:
Empty DataFrame
Columns: [cid, did]
Index: []
CREATE TABLE "journal" (
"homepage" text,
"jid" int,
"name" text,
primary key("jid")
)
3 rows from journal table:
Empty DataFrame
Columns: [homepage, jid, name]
Index: []
CREATE TABLE "domain_journal" (
"did" int,
"jid" int,
primary key ("did", "jid"),
foreign key("jid") references "journal"("jid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_journal table:
Empty DataFrame
Columns: [did, jid]
Index: []
CREATE TABLE "keyword" (
"keyword" text,
"kid" int,
primary key("kid")
)
3 rows from keyword table:
Empty DataFrame
Columns: [keyword, kid]
Index: []
CREATE TABLE "domain_keyword" (
"did" int,
"kid" int,
primary key ("did", "kid"),
foreign key("kid") references "keyword"("kid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_keyword table:
Empty DataFrame
Columns: [did, kid]
Index: []
CREATE TABLE "publication" (
"abstract" text,
"cid" text,
"citation_num" int,
"jid" int,
"pid" int,
"reference_num" int,
"title" text,
"year" int,
primary key("pid"),
foreign key("jid") references "journal"("jid"),
foreign key("cid") references "conference"("cid")
)
3 rows from publication table:
Empty DataFrame
Columns: [abstract, cid, citation_num, jid, pid, reference_num, title, year]
Index: []
CREATE TABLE "domain_publication" (
"did" int,
"pid" int,
primary key ("did", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_publication table:
Empty DataFrame
Columns: [did, pid]
Index: []
CREATE TABLE "organization" (
"continent" text,
"homepage" text,
"name" text,
"oid" int,
primary key("oid")
)
3 rows from organization table:
Empty DataFrame
Columns: [continent, homepage, name, oid]
Index: []
CREATE TABLE "publication_keyword" (
"pid" int,
"kid" int,
primary key ("kid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("kid") references "keyword"("kid")
)
3 rows from publication_keyword table:
Empty DataFrame
Columns: [pid, kid]
Index: []
CREATE TABLE "writes" (
"aid" int,
"pid" int,
primary key ("aid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("aid") references "author"("aid")
)
3 rows from writes table:
Empty DataFrame
Columns: [aid, pid]
Index: []
CREATE TABLE "cite" (
"cited" int,
"citing" int,
foreign key("cited") references "publication"("pid"),
foreign key("citing") references "publication"("pid")
)
3 rows from cite table:
Empty DataFrame
Columns: [cited, citing]
Index: []
|
academic | return me the author who has the most number of papers in the VLDB conference . | SELECT t1.name FROM publication AS t4 JOIN conference AS t2 ON t4.cid = t2.cid JOIN writes AS t3 ON t3.pid = t4.pid JOIN author AS t1 ON t3.aid = t1.aid WHERE t2.name = "VLDB" GROUP BY t1.name ORDER BY COUNT ( DISTINCT t4.title ) DESC LIMIT 1; | CREATE TABLE "author" (
"aid" int,
"homepage" text,
"name" text,
"oid" int,
primary key("aid")
)
3 rows from author table:
Empty DataFrame
Columns: [aid, homepage, name, oid]
Index: []
CREATE TABLE "conference" (
"cid" int,
"homepage" text,
"name" text,
primary key ("cid")
)
3 rows from conference table:
Empty DataFrame
Columns: [cid, homepage, name]
Index: []
CREATE TABLE "domain" (
"did" int,
"name" text,
primary key ("did")
)
3 rows from domain table:
Empty DataFrame
Columns: [did, name]
Index: []
CREATE TABLE "domain_author" (
"aid" int,
"did" int,
primary key ("did", "aid"),
foreign key("aid") references `author`("aid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_author table:
Empty DataFrame
Columns: [aid, did]
Index: []
CREATE TABLE "domain_conference" (
"cid" int,
"did" int,
primary key ("did", "cid"),
foreign key("cid") references `conference`("cid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_conference table:
Empty DataFrame
Columns: [cid, did]
Index: []
CREATE TABLE "journal" (
"homepage" text,
"jid" int,
"name" text,
primary key("jid")
)
3 rows from journal table:
Empty DataFrame
Columns: [homepage, jid, name]
Index: []
CREATE TABLE "domain_journal" (
"did" int,
"jid" int,
primary key ("did", "jid"),
foreign key("jid") references "journal"("jid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_journal table:
Empty DataFrame
Columns: [did, jid]
Index: []
CREATE TABLE "keyword" (
"keyword" text,
"kid" int,
primary key("kid")
)
3 rows from keyword table:
Empty DataFrame
Columns: [keyword, kid]
Index: []
CREATE TABLE "domain_keyword" (
"did" int,
"kid" int,
primary key ("did", "kid"),
foreign key("kid") references "keyword"("kid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_keyword table:
Empty DataFrame
Columns: [did, kid]
Index: []
CREATE TABLE "publication" (
"abstract" text,
"cid" text,
"citation_num" int,
"jid" int,
"pid" int,
"reference_num" int,
"title" text,
"year" int,
primary key("pid"),
foreign key("jid") references "journal"("jid"),
foreign key("cid") references "conference"("cid")
)
3 rows from publication table:
Empty DataFrame
Columns: [abstract, cid, citation_num, jid, pid, reference_num, title, year]
Index: []
CREATE TABLE "domain_publication" (
"did" int,
"pid" int,
primary key ("did", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_publication table:
Empty DataFrame
Columns: [did, pid]
Index: []
CREATE TABLE "organization" (
"continent" text,
"homepage" text,
"name" text,
"oid" int,
primary key("oid")
)
3 rows from organization table:
Empty DataFrame
Columns: [continent, homepage, name, oid]
Index: []
CREATE TABLE "publication_keyword" (
"pid" int,
"kid" int,
primary key ("kid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("kid") references "keyword"("kid")
)
3 rows from publication_keyword table:
Empty DataFrame
Columns: [pid, kid]
Index: []
CREATE TABLE "writes" (
"aid" int,
"pid" int,
primary key ("aid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("aid") references "author"("aid")
)
3 rows from writes table:
Empty DataFrame
Columns: [aid, pid]
Index: []
CREATE TABLE "cite" (
"cited" int,
"citing" int,
foreign key("cited") references "publication"("pid"),
foreign key("citing") references "publication"("pid")
)
3 rows from cite table:
Empty DataFrame
Columns: [cited, citing]
Index: []
|
academic | return me the author in the " University of Michigan " whose papers have more than 5000 total citations . | SELECT t1.name FROM organization AS t2 JOIN author AS t1 ON t2.oid = t1.oid JOIN writes AS t3 ON t3.aid = t1.aid JOIN publication AS t4 ON t3.pid = t4.pid WHERE t2.name = "University of Michigan" GROUP BY t1.name HAVING SUM ( t4.citation_num ) > 5000; | CREATE TABLE "author" (
"aid" int,
"homepage" text,
"name" text,
"oid" int,
primary key("aid")
)
3 rows from author table:
Empty DataFrame
Columns: [aid, homepage, name, oid]
Index: []
CREATE TABLE "conference" (
"cid" int,
"homepage" text,
"name" text,
primary key ("cid")
)
3 rows from conference table:
Empty DataFrame
Columns: [cid, homepage, name]
Index: []
CREATE TABLE "domain" (
"did" int,
"name" text,
primary key ("did")
)
3 rows from domain table:
Empty DataFrame
Columns: [did, name]
Index: []
CREATE TABLE "domain_author" (
"aid" int,
"did" int,
primary key ("did", "aid"),
foreign key("aid") references `author`("aid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_author table:
Empty DataFrame
Columns: [aid, did]
Index: []
CREATE TABLE "domain_conference" (
"cid" int,
"did" int,
primary key ("did", "cid"),
foreign key("cid") references `conference`("cid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_conference table:
Empty DataFrame
Columns: [cid, did]
Index: []
CREATE TABLE "journal" (
"homepage" text,
"jid" int,
"name" text,
primary key("jid")
)
3 rows from journal table:
Empty DataFrame
Columns: [homepage, jid, name]
Index: []
CREATE TABLE "domain_journal" (
"did" int,
"jid" int,
primary key ("did", "jid"),
foreign key("jid") references "journal"("jid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_journal table:
Empty DataFrame
Columns: [did, jid]
Index: []
CREATE TABLE "keyword" (
"keyword" text,
"kid" int,
primary key("kid")
)
3 rows from keyword table:
Empty DataFrame
Columns: [keyword, kid]
Index: []
CREATE TABLE "domain_keyword" (
"did" int,
"kid" int,
primary key ("did", "kid"),
foreign key("kid") references "keyword"("kid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_keyword table:
Empty DataFrame
Columns: [did, kid]
Index: []
CREATE TABLE "publication" (
"abstract" text,
"cid" text,
"citation_num" int,
"jid" int,
"pid" int,
"reference_num" int,
"title" text,
"year" int,
primary key("pid"),
foreign key("jid") references "journal"("jid"),
foreign key("cid") references "conference"("cid")
)
3 rows from publication table:
Empty DataFrame
Columns: [abstract, cid, citation_num, jid, pid, reference_num, title, year]
Index: []
CREATE TABLE "domain_publication" (
"did" int,
"pid" int,
primary key ("did", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_publication table:
Empty DataFrame
Columns: [did, pid]
Index: []
CREATE TABLE "organization" (
"continent" text,
"homepage" text,
"name" text,
"oid" int,
primary key("oid")
)
3 rows from organization table:
Empty DataFrame
Columns: [continent, homepage, name, oid]
Index: []
CREATE TABLE "publication_keyword" (
"pid" int,
"kid" int,
primary key ("kid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("kid") references "keyword"("kid")
)
3 rows from publication_keyword table:
Empty DataFrame
Columns: [pid, kid]
Index: []
CREATE TABLE "writes" (
"aid" int,
"pid" int,
primary key ("aid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("aid") references "author"("aid")
)
3 rows from writes table:
Empty DataFrame
Columns: [aid, pid]
Index: []
CREATE TABLE "cite" (
"cited" int,
"citing" int,
foreign key("cited") references "publication"("pid"),
foreign key("citing") references "publication"("pid")
)
3 rows from cite table:
Empty DataFrame
Columns: [cited, citing]
Index: []
|
academic | return me the author in the " University of Michigan " in Databases area whose papers have more than 5000 total citations . | SELECT t1.name FROM domain_author AS t6 JOIN author AS t1 ON t6.aid = t1.aid JOIN DOMAIN AS t3 ON t3.did = t6.did JOIN organization AS t5 ON t5.oid = t1.oid JOIN writes AS t2 ON t2.aid = t1.aid JOIN publication AS t4 ON t2.pid = t4.pid WHERE t3.name = "Databases" AND t5.name = "University of Michigan" GROUP BY t1.name HAVING SUM ( t4.citation_num ) > 5000; | CREATE TABLE "author" (
"aid" int,
"homepage" text,
"name" text,
"oid" int,
primary key("aid")
)
3 rows from author table:
Empty DataFrame
Columns: [aid, homepage, name, oid]
Index: []
CREATE TABLE "conference" (
"cid" int,
"homepage" text,
"name" text,
primary key ("cid")
)
3 rows from conference table:
Empty DataFrame
Columns: [cid, homepage, name]
Index: []
CREATE TABLE "domain" (
"did" int,
"name" text,
primary key ("did")
)
3 rows from domain table:
Empty DataFrame
Columns: [did, name]
Index: []
CREATE TABLE "domain_author" (
"aid" int,
"did" int,
primary key ("did", "aid"),
foreign key("aid") references `author`("aid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_author table:
Empty DataFrame
Columns: [aid, did]
Index: []
CREATE TABLE "domain_conference" (
"cid" int,
"did" int,
primary key ("did", "cid"),
foreign key("cid") references `conference`("cid"),
foreign key("did") references `domain`("did")
)
3 rows from domain_conference table:
Empty DataFrame
Columns: [cid, did]
Index: []
CREATE TABLE "journal" (
"homepage" text,
"jid" int,
"name" text,
primary key("jid")
)
3 rows from journal table:
Empty DataFrame
Columns: [homepage, jid, name]
Index: []
CREATE TABLE "domain_journal" (
"did" int,
"jid" int,
primary key ("did", "jid"),
foreign key("jid") references "journal"("jid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_journal table:
Empty DataFrame
Columns: [did, jid]
Index: []
CREATE TABLE "keyword" (
"keyword" text,
"kid" int,
primary key("kid")
)
3 rows from keyword table:
Empty DataFrame
Columns: [keyword, kid]
Index: []
CREATE TABLE "domain_keyword" (
"did" int,
"kid" int,
primary key ("did", "kid"),
foreign key("kid") references "keyword"("kid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_keyword table:
Empty DataFrame
Columns: [did, kid]
Index: []
CREATE TABLE "publication" (
"abstract" text,
"cid" text,
"citation_num" int,
"jid" int,
"pid" int,
"reference_num" int,
"title" text,
"year" int,
primary key("pid"),
foreign key("jid") references "journal"("jid"),
foreign key("cid") references "conference"("cid")
)
3 rows from publication table:
Empty DataFrame
Columns: [abstract, cid, citation_num, jid, pid, reference_num, title, year]
Index: []
CREATE TABLE "domain_publication" (
"did" int,
"pid" int,
primary key ("did", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("did") references "domain"("did")
)
3 rows from domain_publication table:
Empty DataFrame
Columns: [did, pid]
Index: []
CREATE TABLE "organization" (
"continent" text,
"homepage" text,
"name" text,
"oid" int,
primary key("oid")
)
3 rows from organization table:
Empty DataFrame
Columns: [continent, homepage, name, oid]
Index: []
CREATE TABLE "publication_keyword" (
"pid" int,
"kid" int,
primary key ("kid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("kid") references "keyword"("kid")
)
3 rows from publication_keyword table:
Empty DataFrame
Columns: [pid, kid]
Index: []
CREATE TABLE "writes" (
"aid" int,
"pid" int,
primary key ("aid", "pid"),
foreign key("pid") references "publication"("pid"),
foreign key("aid") references "author"("aid")
)
3 rows from writes table:
Empty DataFrame
Columns: [aid, pid]
Index: []
CREATE TABLE "cite" (
"cited" int,
"citing" int,
foreign key("cited") references "publication"("pid"),
foreign key("citing") references "publication"("pid")
)
3 rows from cite table:
Empty DataFrame
Columns: [cited, citing]
Index: []
|
imdb | What year is the movie " The Imitation Game " from ? | SELECT release_year FROM movie WHERE title = "The Imitation Game"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | What year was the movie " The Imitation Game " produced | SELECT release_year FROM movie WHERE title = "The Imitation Game"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | What year was " Benedict Cumberbatch " born ? | SELECT birth_year FROM actor WHERE name = "Benedict Cumberbatch"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | In what year was " Benedict Cumberbatch " born | SELECT birth_year FROM actor WHERE name = "Benedict Cumberbatch"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | What is the nationality of the actress " Christoph Waltz " ? | SELECT nationality FROM actor WHERE name = "Christoph Waltz"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | What is the nationality of the actor " Christoph Waltz " ? | SELECT nationality FROM actor WHERE name = "Christoph Waltz"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | Find all movies produced in 2015 | SELECT title FROM movie WHERE release_year = 2015; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | Find all actors born in " Tehran " | SELECT name FROM actor WHERE birth_city = "Tehran"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | Find all actors born in Tehran | SELECT name FROM actor WHERE birth_city = "Tehran"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | Which actors were born in Tehran | SELECT name FROM actor WHERE birth_city = "Tehran"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | Find all actors who are from Afghanistan | SELECT name FROM actor WHERE nationality = "Afghanistan"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | Find all actors from Afghanistan | SELECT name FROM actor WHERE nationality = "Afghanistan"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | Give me the name of all the actors from Afghanistan | SELECT name FROM actor WHERE nationality = "Afghanistan"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | Find all actors who were born in 1984 | SELECT name FROM actor WHERE birth_year = 1984; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | When was " Kevin Spacey " born ? | SELECT birth_year FROM actor WHERE name = "actor_name0"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | In what year was " Kevin Spacey " born ? | SELECT birth_year FROM actor WHERE name = "actor_name0"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | Where is the birth place of " Kevin Spacey " | SELECT birth_city FROM director WHERE name = "director_name0"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | In what city was " Kevin Spacey " born ? | SELECT birth_city FROM director WHERE name = "director_name0"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | What is the nationality of " Kevin Spacey " ? | SELECT nationality FROM director WHERE name = "director_name0"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | How much was the budget of " Finding Nemo " | SELECT budget FROM movie WHERE title = "Finding Nemo"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | Find all movies directed by " Steven Spielberg " after 2006 | SELECT t3.title FROM director AS t2 JOIN directed_by AS t1 ON t2.did = t1.did JOIN movie AS t3 ON t3.mid = t1.msid WHERE t2.name = "Steven Spielberg" AND t3.release_year > 2006; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | Who is the director of the movie " James Bond " ? | SELECT t2.name FROM director AS t2 JOIN directed_by AS t1 ON t2.did = t1.did JOIN movie AS t3 ON t3.mid = t1.msid WHERE t3.title = "James Bond"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | Who directed the movie " James Bond " ? | SELECT t2.name FROM director AS t2 JOIN directed_by AS t1 ON t2.did = t1.did JOIN movie AS t3 ON t3.mid = t1.msid WHERE t3.title = "James Bond"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | List " James Bond " directors | SELECT t2.name FROM director AS t2 JOIN directed_by AS t1 ON t2.did = t1.did JOIN movie AS t3 ON t3.mid = t1.msid WHERE t3.title = "James Bond"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | Find the actor who played " Alan Turing " in the movie " The Imitation Game " | SELECT t1.name FROM CAST AS t2 JOIN actor AS t1 ON t2.aid = t1.aid JOIN movie AS t3 ON t3.mid = t2.msid WHERE t2.role = "Alan Turing" AND t3.title = "The Imitation Game"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | Who acted " Alan Turing " in the movie " The Imitation Game " ? | SELECT t1.name FROM CAST AS t2 JOIN actor AS t1 ON t2.aid = t1.aid JOIN movie AS t3 ON t3.mid = t2.msid WHERE t2.role = "Alan Turing" AND t3.title = "The Imitation Game"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | Who was the actor that played " Alan Turing " in the movie " The Imitation Game " ? | SELECT t1.name FROM CAST AS t2 JOIN actor AS t1 ON t2.aid = t1.aid JOIN movie AS t3 ON t3.mid = t2.msid WHERE t2.role = "Alan Turing" AND t3.title = "The Imitation Game"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | Who acts as " Alan Turing " in the movie " The Imitation Game " ? | SELECT t1.name FROM CAST AS t2 JOIN actor AS t1 ON t2.aid = t1.aid JOIN movie AS t3 ON t3.mid = t2.msid WHERE t2.role = "Alan Turing" AND t3.title = "The Imitation Game"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | Who is the actor playing " Alan Turing " in " The Imitation Game " ? | SELECT t1.name FROM CAST AS t2 JOIN actor AS t1 ON t2.aid = t1.aid JOIN movie AS t3 ON t3.mid = t2.msid WHERE t2.role = "Alan Turing" AND t3.title = "The Imitation Game"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | What is the genre of the movie " Jurassic Park " ? | SELECT t2.genre FROM genre AS t2 JOIN classification AS t1 ON t2.gid = t1.gid JOIN movie AS t3 ON t3.mid = t1.msid WHERE t3.title = "Jurassic Park"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | Who was the director of the movie Joy from 2015 ? | SELECT t2.name FROM director AS t2 JOIN directed_by AS t1 ON t2.did = t1.did JOIN movie AS t3 ON t3.mid = t1.msid WHERE t3.release_year = 2015 AND t3.title = "Joy"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | Find all movies written by " Matt Damon " | SELECT t1.title FROM written_by AS t3 JOIN movie AS t1 ON t3.msid = t1.mid JOIN writer AS t2 ON t3.wid = t2.wid WHERE t2.name = "Matt Damon"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | Find all movies written and produced by " Woody Allen " | SELECT t2.title FROM movie AS t2 JOIN made_by AS t3 ON t2.mid = t3.msid JOIN producer AS t1 ON t1.pid = t3.pid JOIN written_by AS t5 ON t5.msid = t2.mid JOIN writer AS t4 ON t5.wid = t4.wid WHERE t1.name = "Woody Allen" AND t4.name = "Woody Allen"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | Find all movies featuring " Robin Wright " | SELECT t2.title FROM CAST AS t3 JOIN actor AS t1 ON t3.aid = t1.aid JOIN movie AS t2 ON t2.mid = t3.msid WHERE t1.name = "Robin Wright"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | What are all the movies featuring " Robin Wright " ? | SELECT t2.title FROM CAST AS t3 JOIN actor AS t1 ON t3.aid = t1.aid JOIN movie AS t2 ON t2.mid = t3.msid WHERE t1.name = "Robin Wright"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | Find all movies in which " Robin Wright " appears | SELECT t2.title FROM CAST AS t3 JOIN actor AS t1 ON t3.aid = t1.aid JOIN movie AS t2 ON t2.mid = t3.msid WHERE t1.name = "Robin Wright"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | What was the budget of the movie Juno from 2007 ? | SELECT budget FROM movie WHERE release_year = 2007 AND title = "Juno"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | Find all Sci-Fi produced in year 2010 | SELECT t3.title FROM genre AS t2 JOIN classification AS t1 ON t2.gid = t1.gid JOIN movie AS t3 ON t3.mid = t1.msid WHERE t2.genre = "Sci-Fi" AND t3.release_year = 2010; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | List all the Sci-Fi movies which released in 2010 | SELECT t3.title FROM genre AS t2 JOIN classification AS t1 ON t2.gid = t1.gid JOIN movie AS t3 ON t3.mid = t1.msid WHERE t2.genre = "Sci-Fi" AND t3.release_year = 2010; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | Find all actors born in " Austin " after 1980 | SELECT name FROM actor WHERE birth_city = "Austin" AND birth_year > 1980; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | Who are the actors born in " Austin " after 1980 ? | SELECT name FROM actor WHERE birth_city = "Austin" AND birth_year > 1980; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | Find all actors from Austin born after 1980 | SELECT name FROM actor WHERE birth_city = "Austin" AND birth_year > 1980; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | Find all movies by directors born in " Los Angeles " | SELECT t3.title FROM director AS t2 JOIN directed_by AS t1 ON t2.did = t1.did JOIN movie AS t3 ON t3.mid = t1.msid WHERE t2.birth_city = "Los Angeles"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | Find all actors who were born in " New York City " in 1984 | SELECT name FROM actor WHERE birth_city = "New York City" AND birth_year = 1984; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | Find all movies about nuclear weapons | SELECT t3.title FROM tags AS t2 JOIN keyword AS t1 ON t2.kid = t1.id JOIN movie AS t3 ON t2.msid = t3.mid WHERE t1.keyword = "nuclear weapons"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | What are the movies related to nuclear weapons | SELECT t3.title FROM tags AS t2 JOIN keyword AS t1 ON t2.kid = t1.id JOIN movie AS t3 ON t2.msid = t3.mid WHERE t1.keyword = "nuclear weapons"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | Which movies did " Alfred Hitchcock " direct ? | SELECT t3.title FROM director AS t2 JOIN directed_by AS t1 ON t2.did = t1.did JOIN movie AS t3 ON t3.mid = t1.msid WHERE t2.name = "Alfred Hitchcock"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | Find all movies directed by " Asghar Farhadi " and featuring " Taraneh Alidoosti " | SELECT t4.title FROM CAST AS t5 JOIN actor AS t1 ON t5.aid = t1.aid JOIN movie AS t4 ON t4.mid = t5.msid JOIN directed_by AS t2 ON t4.mid = t2.msid JOIN director AS t3 ON t3.did = t2.did WHERE t1.name = "Taraneh Alidoosti" AND t3.name = "Asghar Farhadi"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | What are all the movies directed by " Asghar Farhadi " featuring " Taraneh Alidoosti " ? | SELECT t4.title FROM CAST AS t5 JOIN actor AS t1 ON t5.aid = t1.aid JOIN movie AS t4 ON t4.mid = t5.msid JOIN directed_by AS t2 ON t4.mid = t2.msid JOIN director AS t3 ON t3.did = t2.did WHERE t1.name = "Taraneh Alidoosti" AND t3.name = "Asghar Farhadi"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | How many movies are there that are directed by " Asghar Farhadi " and featuring " Taraneh Alidoosti " ? | SELECT t4.title FROM CAST AS t5 JOIN actor AS t1 ON t5.aid = t1.aid JOIN movie AS t4 ON t4.mid = t5.msid JOIN directed_by AS t2 ON t4.mid = t2.msid JOIN director AS t3 ON t3.did = t2.did WHERE t1.name = "Taraneh Alidoosti" AND t3.name = "Asghar Farhadi"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | List all the movies directed by " Asghar Farhadi " in which " Taraneh Alidoosti " played | SELECT t4.title FROM CAST AS t5 JOIN actor AS t1 ON t5.aid = t1.aid JOIN movie AS t4 ON t4.mid = t5.msid JOIN directed_by AS t2 ON t4.mid = t2.msid JOIN director AS t3 ON t3.did = t2.did WHERE t1.name = "Taraneh Alidoosti" AND t3.name = "Asghar Farhadi"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | What are all the tv series created by " Shonda Rhimes " ? | SELECT t2.title FROM producer AS t1 JOIN made_by AS t3 ON t1.pid = t3.pid JOIN tv_series AS t2 ON t2.sid = t3.msid WHERE t1.name = "Shonda Rhimes"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | Who acts " Olivia Pope " in the series Scandal ? | SELECT t1.name FROM CAST AS t3 JOIN actor AS t1 ON t3.aid = t1.aid JOIN tv_series AS t2 ON t2.sid = t3.msid WHERE t3.role = "Olivia Pope" AND t2.title = "Scandal"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | Who is the writer of the movie " The Truman Show " | SELECT t2.name FROM written_by AS t3 JOIN movie AS t1 ON t3.msid = t1.mid JOIN writer AS t2 ON t3.wid = t2.wid WHERE t1.title = "The Truman Show"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | Who is the writer of " The Truman Show " | SELECT t2.name FROM written_by AS t3 JOIN movie AS t1 ON t3.msid = t1.mid JOIN writer AS t2 ON t3.wid = t2.wid WHERE t1.title = "The Truman Show"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | What are the series featuring " Scott Foley " ? | SELECT t2.title FROM CAST AS t3 JOIN actor AS t1 ON t3.aid = t1.aid JOIN tv_series AS t2 ON t2.sid = t3.msid WHERE t1.name = "Scott Foley"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | What are the series in which " Scott Foley " is an actor ? | SELECT t2.title FROM CAST AS t3 JOIN actor AS t1 ON t3.aid = t1.aid JOIN tv_series AS t2 ON t2.sid = t3.msid WHERE t1.name = "Scott Foley"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | Find the directors of all movies featuring " Kate Winslet " | SELECT t3.name FROM CAST AS t4 JOIN actor AS t1 ON t4.aid = t1.aid JOIN movie AS t5 ON t5.mid = t4.msid JOIN directed_by AS t2 ON t5.mid = t2.msid JOIN director AS t3 ON t3.did = t2.did WHERE t1.name = "Kate Winslet"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | Find the producers of all movies in which " Kate Winslet " is an actor | SELECT t1.name FROM CAST AS t3 JOIN actor AS t2 ON t3.aid = t2.aid JOIN movie AS t5 ON t5.mid = t3.msid JOIN made_by AS t4 ON t5.mid = t4.msid JOIN producer AS t1 ON t1.pid = t4.pid WHERE t2.name = "Kate Winslet"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | Who is the director of the tv series " House of Cards " from 2013 ? | SELECT t2.name FROM director AS t2 JOIN directed_by AS t1 ON t2.did = t1.did JOIN tv_series AS t3 ON t3.sid = t1.msid WHERE t3.release_year = 2013 AND t3.title = "House of Cards"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | Find all the female actors from Austin | SELECT name FROM actor WHERE birth_city = "Austin" AND gender = "female"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | Find all actors from Italy born after 1980 | SELECT name FROM actor WHERE birth_year > 1980 AND nationality = "Italy"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | Find all the female actors born in " New York City " after 1980 | SELECT name FROM actor WHERE birth_city = "New York City" AND birth_year > 1980 AND gender = "female"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | Find all the female actors in the movie " Saving Private Ryan " | SELECT t1.name FROM CAST AS t2 JOIN actor AS t1 ON t2.aid = t1.aid JOIN movie AS t3 ON t3.mid = t2.msid WHERE t1.gender = "female" AND t3.title = "Saving Private Ryan"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | Find all the directors who are from Afghanistan | SELECT name FROM director WHERE nationality = "Afghanistan"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | Find the actors who played in the movie " Camp X-Ray " | SELECT t1.name FROM CAST AS t2 JOIN actor AS t1 ON t2.aid = t1.aid JOIN movie AS t3 ON t3.mid = t2.msid WHERE t3.title = "Camp X-Ray"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | Find all actors from Canada who acted in " James Bond " movies | SELECT t1.name FROM CAST AS t2 JOIN actor AS t1 ON t2.aid = t1.aid JOIN movie AS t3 ON t3.mid = t2.msid WHERE t1.nationality = "Canada" AND t3.title = "James Bond"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | find all films in which " Rowan Atkinson " acted as " Mr. Bean " | SELECT t2.title FROM CAST AS t3 JOIN actor AS t1 ON t3.aid = t1.aid JOIN movie AS t2 ON t2.mid = t3.msid WHERE t1.name = "Rowan Atkinson" AND t3.role = "Mr. Bean"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | where is the director of " The Past " from | SELECT t2.birth_city FROM director AS t2 JOIN directed_by AS t1 ON t2.did = t1.did JOIN movie AS t3 ON t3.mid = t1.msid WHERE t3.title = "The Past"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | who acted the role of " Mr. Bean " | SELECT t1.name FROM CAST AS t2 JOIN actor AS t1 ON t2.aid = t1.aid WHERE t2.role = "Mr. Bean"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | what are the genres of movies directed by " Asghar Farhadi " | SELECT t3.genre FROM director AS t5 JOIN directed_by AS t2 ON t5.did = t2.did JOIN movie AS t4 ON t4.mid = t2.msid JOIN classification AS t1 ON t4.mid = t1.msid JOIN genre AS t3 ON t3.gid = t1.gid WHERE t5.name = "Asghar Farhadi"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | Which movie had the character " Daffy Duck " | SELECT t1.title FROM movie AS t1 JOIN CAST AS t2 ON t1.mid = t2.msid WHERE t2.role = "Daffy Duck"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | What are the major roles in the movie " Daddy Long Legs " | SELECT t2.role FROM CAST AS t2 JOIN actor AS t1 ON t2.aid = t1.aid JOIN movie AS t3 ON t3.mid = t2.msid WHERE t3.title = "Daddy Long Legs"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | List all the directors of movies about nuclear weapons | SELECT t3.name FROM director AS t3 JOIN directed_by AS t2 ON t3.did = t2.did JOIN movie AS t4 ON t4.mid = t2.msid JOIN tags AS t5 ON t5.msid = t4.mid JOIN keyword AS t1 ON t5.kid = t1.id WHERE t1.keyword = "nuclear weapons"; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
imdb | What is the number of movies in which " Jennifer Aniston " acted after 2010 ? | SELECT COUNT ( DISTINCT t2.title ) FROM CAST AS t3 JOIN actor AS t1 ON t3.aid = t1.aid JOIN movie AS t2 ON t2.mid = t3.msid WHERE t1.name = "Jennifer Aniston" AND t2.release_year > 2010; | CREATE TABLE "actor" (
"aid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("aid")
)
3 rows from actor table:
Empty DataFrame
Columns: [aid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "copyright" (
"id" int,
"msid" int,
"cid" int,
primary key("id")
)
3 rows from copyright table:
Empty DataFrame
Columns: [id, msid, cid]
Index: []
CREATE TABLE "cast" (
"id" int,
"msid" int,
"aid" int,
"role" int,
primary key("id"),
foreign key("aid") references `actor`("aid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from cast table:
Empty DataFrame
Columns: [id, msid, aid, role]
Index: []
CREATE TABLE "genre" (
"gid" int,
"genre" text,
primary key("gid")
)
3 rows from genre table:
Empty DataFrame
Columns: [gid, genre]
Index: []
CREATE TABLE "classification" (
"id" int,
"msid" int,
"gid" int,
primary key("id"),
foreign key("gid") references `genre`("gid"),
foreign key("msid") references `copyright`("msid")
)
3 rows from classification table:
Empty DataFrame
Columns: [id, msid, gid]
Index: []
CREATE TABLE "company" (
"id" int,
"name" text,
"country_code" text,
primary key("id")
)
3 rows from company table:
Empty DataFrame
Columns: [id, name, country_code]
Index: []
CREATE TABLE "director" (
"did" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("did")
)
3 rows from director table:
Empty DataFrame
Columns: [did, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "producer" (
"pid" int,
"gender" text,
"name" text,
"nationality" text,
"birth_city" text,
"birth_year" int,
primary key("pid")
)
3 rows from producer table:
Empty DataFrame
Columns: [pid, gender, name, nationality, birth_city, birth_year]
Index: []
CREATE TABLE "directed_by" (
"id" int,
"msid" int,
"did" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("did") references `director`("did")
)
3 rows from directed_by table:
Empty DataFrame
Columns: [id, msid, did]
Index: []
CREATE TABLE "keyword" (
"id" int,
"keyword" text,
primary key("id")
)
3 rows from keyword table:
Empty DataFrame
Columns: [id, keyword]
Index: []
CREATE TABLE "made_by" (
"id" int,
"msid" int,
"pid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("pid") references `producer`("pid")
)
3 rows from made_by table:
Empty DataFrame
Columns: [id, msid, pid]
Index: []
CREATE TABLE "movie" (
"mid" int,
"title" text,
"release_year" int,
"title_aka" text,
"budget" text,
primary key("mid")
)
3 rows from movie table:
Empty DataFrame
Columns: [mid, title, release_year, title_aka, budget]
Index: []
CREATE TABLE "tags" (
"id" int,
"msid" int,
"kid" int,
primary key("id"),
foreign key("msid") references `copyright`("msid"),
foreign key("kid") references `keyword`("kid")
)
3 rows from tags table:
Empty DataFrame
Columns: [id, msid, kid]
Index: []
CREATE TABLE "tv_series" (
"sid" int,
"title" text,
"release_year" int,
"num_of_seasons" int,
"num_of_episodes" int,
"title_aka" text,
"budget" text,
primary key("sid")
)
3 rows from tv_series table:
Empty DataFrame
Columns: [sid, title, release_year, num_of_seasons, num_of_episodes, title_aka, budget]
Index: []
CREATE TABLE "writer" (
"wid" int,
"gender" text,
"name" int,
"nationality" int,
"num_of_episodes" int,
"birth_city" text,
"birth_year" int,
primary key("wid")
)
3 rows from writer table:
Empty DataFrame
Columns: [wid, gender, name, nationality, num_of_episodes, birth_city, birth_year]
Index: []
CREATE TABLE "written_by" (
"id" int,
"msid" int,
"wid" int,
foreign key("msid") references `copyright`("msid"),
foreign key("wid") references `writer`("wid")
)
3 rows from written_by table:
Empty DataFrame
Columns: [id, msid, wid]
Index: []
|
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