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academic
return me the number of papers in PVLDB containing keyword " Keyword search " .
SELECT COUNT ( DISTINCT t4.title ) FROM publication_keyword AS t2 JOIN keyword AS t1 ON t2.kid = t1.kid JOIN publication AS t4 ON t4.pid = t2.pid JOIN journal AS t3 ON t4.jid = t3.jid WHERE t3.name = "PVLDB" AND t1.keyword = "Keyword search";
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 number of papers in VLDB conference containing keyword " Information Retrieval " .
SELECT COUNT ( DISTINCT t4.title ) FROM publication_keyword AS t3 JOIN keyword AS t1 ON t3.kid = t1.kid JOIN publication AS t4 ON t4.pid = t3.pid JOIN conference AS t2 ON t4.cid = t2.cid WHERE t2.name = "VLDB" AND t1.keyword = "Information Retrieval";
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 number of authors who have papers containing keyword " Relational Database " .
SELECT COUNT ( DISTINCT 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";
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 total citations of the papers containing keyword " Natural Language "
SELECT SUM ( t3.citation_num ) FROM publication_keyword AS t2 JOIN keyword AS t1 ON t2.kid = t1.kid JOIN publication AS t3 ON t3.pid = t2.pid WHERE t1.keyword = "Natural Language";
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 number of the organizations .
SELECT COUNT ( DISTINCT name ) FROM organization;
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 number of the organizations in " North America " .
SELECT COUNT ( DISTINCT name ) FROM organization WHERE continent = "North America";
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 number of organizations in Databases area .
SELECT COUNT ( DISTINCT t2.name ) FROM domain_author AS t4 JOIN author AS t1 ON t4.aid = t1.aid JOIN DOMAIN AS t3 ON t3.did = t4.did JOIN organization AS t2 ON t2.oid = t1.oid WHERE t3.name = "Databases";
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 number of organizations in Databases area located in " North America " .
SELECT COUNT ( DISTINCT t2.name ) FROM domain_author AS t4 JOIN author AS t1 ON t4.aid = t1.aid JOIN DOMAIN AS t3 ON t3.did = t4.did JOIN organization AS t2 ON t2.oid = t1.oid WHERE t3.name = "Databases" AND t2.continent = "North America";
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 number of papers in " University of Michigan " .
SELECT COUNT ( DISTINCT t4.title ) 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";
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 number of papers in " University of Michigan " in Databases area .
SELECT COUNT ( DISTINCT t4.title ) FROM domain_author AS t6 JOIN author AS t1 ON t6.aid = t1.aid JOIN DOMAIN AS t3 ON t3.did = t6.did JOIN domain_publication AS t2 ON t3.did = t2.did JOIN organization AS t5 ON t5.oid = t1.oid JOIN publication AS t4 ON t4.pid = t2.pid WHERE t3.name = "Databases" AND t5.name = "University of Michigan";
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 number of papers after 2000 in " University of Michigan " .
SELECT COUNT ( DISTINCT t4.title ) 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" AND t4.year > 2000;
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 number of papers in VLDB conference in " University of Michigan " .
SELECT COUNT ( DISTINCT t5.title ) FROM organization AS t3 JOIN author AS t1 ON t3.oid = t1.oid JOIN writes AS t4 ON t4.aid = t1.aid JOIN publication AS t5 ON t4.pid = t5.pid JOIN conference AS t2 ON t5.cid = t2.cid WHERE t2.name = "VLDB" AND t3.name = "University of Michigan";
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 number of papers in PVLDB in " University of Michigan " .
SELECT COUNT ( DISTINCT t5.title ) FROM organization AS t2 JOIN author AS t1 ON t2.oid = t1.oid JOIN writes AS t4 ON t4.aid = t1.aid JOIN publication AS t5 ON t4.pid = t5.pid JOIN journal AS t3 ON t5.jid = t3.jid WHERE t3.name = "PVLDB" AND t2.name = "University of Michigan";
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 number of papers in PVLDB after 2000 in " University of Michigan " .
SELECT COUNT ( DISTINCT t5.title ) FROM organization AS t2 JOIN author AS t1 ON t2.oid = t1.oid JOIN writes AS t4 ON t4.aid = t1.aid JOIN publication AS t5 ON t4.pid = t5.pid JOIN journal AS t3 ON t5.jid = t3.jid WHERE t3.name = "PVLDB" AND t2.name = "University of Michigan" AND t5.year > 2000;
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 total citations of the papers in " University of Michigan " .
SELECT SUM ( t4.citation_num ) 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";
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 number of researchers in " University of Michigan " .
SELECT COUNT ( DISTINCT t1.name ) FROM organization AS t2 JOIN author AS t1 ON t2.oid = t1.oid WHERE t2.name = "University of Michigan";
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 number of researchers in Databases area in " University of Michigan " .
SELECT COUNT ( DISTINCT t1.name ) FROM domain_author AS t4 JOIN author AS t1 ON t4.aid = t1.aid JOIN DOMAIN AS t3 ON t3.did = t4.did JOIN organization AS t2 ON t2.oid = t1.oid WHERE t3.name = "Databases" AND t2.name = "University of Michigan";
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 number of authors who have papers in PVLDB .
SELECT COUNT ( DISTINCT 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";
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 number of authors who have papers in the VLDB conference .
SELECT COUNT ( DISTINCT 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";
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 number of papers published on PVLDB before 2000 .
SELECT COUNT ( DISTINCT t2.title ) FROM publication AS t2 JOIN journal AS t1 ON t2.jid = t1.jid WHERE t1.name = "PVLDB" AND t2.year < 2000;
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 number of papers published in the VLDB conference before 2000 .
SELECT COUNT ( DISTINCT t2.title ) FROM publication AS t2 JOIN conference AS t1 ON t2.cid = t1.cid WHERE t1.name = "VLDB" AND t2.year < 2000;
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 total citations of all the papers in PVLDB .
SELECT SUM ( t2.citation_num ) FROM publication AS t2 JOIN journal AS t1 ON t2.jid = t1.jid WHERE t1.name = "PVLDB";
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 citations of each paper in PVLDB .
SELECT t2.citation_num FROM publication AS t2 JOIN journal AS t1 ON t2.jid = t1.jid WHERE t1.name = "PVLDB";
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 total citations of papers in PVLDB in 2005 .
SELECT SUM ( t2.citation_num ) FROM publication AS t2 JOIN journal AS t1 ON t2.jid = t1.jid WHERE t1.name = "PVLDB" AND t2.year = 2005;
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 total citations of papers in PVLDB before 2005 .
SELECT SUM ( t2.citation_num ) FROM publication AS t2 JOIN journal AS t1 ON t2.jid = t1.jid WHERE t1.name = "PVLDB" AND t2.year < 2005;
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 total citations of papers in PVLDB in each year .
SELECT t2.year , SUM ( t2.citation_num ) FROM publication AS t2 JOIN journal AS t1 ON t2.jid = t1.jid WHERE t1.name = "PVLDB" GROUP BY t2.year;
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 number of papers published in PVLDB in each year .
SELECT COUNT ( DISTINCT t2.title ) , t2.year FROM publication AS t2 JOIN journal AS t1 ON t2.jid = t1.jid WHERE t1.name = "PVLDB" GROUP BY t2.year;
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 total citations of all the papers in the VLDB conference .
SELECT SUM ( t2.citation_num ) FROM publication AS t2 JOIN conference AS t1 ON t2.cid = t1.cid WHERE t1.name = "VLDB";
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 citations of each paper in the VLDB conference .
SELECT t2.citation_num FROM publication AS t2 JOIN conference AS t1 ON t2.cid = t1.cid WHERE t1.name = "VLDB";
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 total citations of papers in the VLDB conference in 2005 .
SELECT SUM ( t2.citation_num ) FROM publication AS t2 JOIN conference AS t1 ON t2.cid = t1.cid WHERE t1.name = "VLDB" AND t2.year = 2005;
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 total citations of papers in the VLDB conference before 2005 .
SELECT SUM ( t2.citation_num ) FROM publication AS t2 JOIN conference AS t1 ON t2.cid = t1.cid WHERE t1.name = "VLDB" AND t2.year < 2005;
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 total citations of papers in the VLDB conference in each year .
SELECT t2.year , SUM ( t2.citation_num ) FROM publication AS t2 JOIN conference AS t1 ON t2.cid = t1.cid WHERE t1.name = "VLDB" GROUP BY t2.year;
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 number of papers published in the VLDB conference in each year .
SELECT COUNT ( DISTINCT t2.title ) , t2.year FROM publication AS t2 JOIN conference AS t1 ON t2.cid = t1.cid WHERE t1.name = "VLDB" GROUP BY t2.year;
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 cooperated both with " H. V. Jagadish " and " Divesh Srivastava " .
SELECT t2.name FROM writes AS t4 JOIN author AS t2 ON t4.aid = t2.aid JOIN publication AS t7 ON t4.pid = t7.pid JOIN writes AS t5 ON t5.pid = t7.pid JOIN writes AS t6 ON t6.pid = t7.pid JOIN author AS t1 ON t5.aid = t1.aid JOIN author AS t3 ON t6.aid = t3.aid WHERE t1.name = "H. V. Jagadish" AND t3.name = "Divesh Srivastava";
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 cooperated with " H. V. Jagadish " after 2000 .
SELECT t2.name FROM writes AS t3 JOIN author AS t2 ON t3.aid = t2.aid JOIN publication AS t5 ON t3.pid = t5.pid JOIN writes AS t4 ON t4.pid = t5.pid JOIN author AS t1 ON t4.aid = t1.aid WHERE t1.name = "H. V. Jagadish" AND t5.year > 2000;
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 papers written by " H. V. Jagadish " and " Divesh Srivastava " .
SELECT t5.title FROM writes AS t3 JOIN author AS t2 ON t3.aid = t2.aid JOIN publication AS t5 ON t3.pid = t5.pid JOIN writes AS t4 ON t4.pid = t5.pid JOIN author AS t1 ON t4.aid = t1.aid WHERE t2.name = "H. V. Jagadish" AND t1.name = "Divesh Srivastava";
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 papers written by " H. V. Jagadish " and " Yunyao Li " after 2005 .
SELECT t5.title FROM writes AS t3 JOIN author AS t2 ON t3.aid = t2.aid JOIN publication AS t5 ON t3.pid = t5.pid JOIN writes AS t4 ON t4.pid = t5.pid JOIN author AS t1 ON t4.aid = t1.aid WHERE t2.name = "H. V. Jagadish" AND t1.name = "Yunyao Li" AND t5.year > 2005;
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 papers written by " H. V. Jagadish " and " Yunyao Li " on PVLDB .
SELECT t6.title FROM publication AS t6 JOIN journal AS t4 ON t6.jid = t4.jid JOIN writes AS t3 ON t3.pid = t6.pid JOIN writes AS t5 ON t5.pid = t6.pid JOIN author AS t1 ON t5.aid = t1.aid JOIN author AS t2 ON t3.aid = t2.aid WHERE t2.name = "H. V. Jagadish" AND t1.name = "Yunyao Li" AND t4.name = "PVLDB";
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 papers written by " H. V. Jagadish " and " Yunyao Li " on PVLDB after 2005 .
SELECT t6.title FROM publication AS t6 JOIN journal AS t4 ON t6.jid = t4.jid JOIN writes AS t3 ON t3.pid = t6.pid JOIN writes AS t5 ON t5.pid = t6.pid JOIN author AS t1 ON t5.aid = t1.aid JOIN author AS t2 ON t3.aid = t2.aid WHERE t2.name = "H. V. Jagadish" AND t1.name = "Yunyao Li" AND t4.name = "PVLDB" AND t6.year > 2005;
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 cooperated with " H. V. Jagadish " .
SELECT t2.name FROM writes AS t3 JOIN author AS t2 ON t3.aid = t2.aid JOIN publication AS t5 ON t3.pid = t5.pid JOIN writes AS t4 ON t4.pid = t5.pid JOIN author AS t1 ON t4.aid = t1.aid WHERE t1.name = "H. V. Jagadish";
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 papers written by " H. V. Jagadish " and " Divesh Srivastava " before 2000 .
SELECT t5.title FROM writes AS t3 JOIN author AS t2 ON t3.aid = t2.aid JOIN publication AS t5 ON t3.pid = t5.pid JOIN writes AS t4 ON t4.pid = t5.pid JOIN author AS t1 ON t4.aid = t1.aid WHERE t2.name = "H. V. Jagadish" AND t1.name = "Divesh Srivastava" AND t5.year < 2000;
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 cited the papers by " H. V. Jagadish " .
SELECT t2.name FROM publication AS t7 JOIN cite AS t5 ON t7.pid = t5.citing JOIN publication AS t6 ON t6.pid = t5.cited JOIN writes AS t3 ON t3.pid = t7.pid JOIN writes AS t4 ON t4.pid = t6.pid JOIN author AS t2 ON t3.aid = t2.aid JOIN author AS t1 ON t4.aid = t1.aid WHERE t1.name = "H. V. Jagadish";
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 number of papers written by " H. V. Jagadish " and " Divesh Srivastava " .
SELECT COUNT ( DISTINCT t5.title ) FROM writes AS t3 JOIN author AS t2 ON t3.aid = t2.aid JOIN publication AS t5 ON t3.pid = t5.pid JOIN writes AS t4 ON t4.pid = t5.pid JOIN author AS t1 ON t4.aid = t1.aid WHERE t2.name = "H. V. Jagadish" AND t1.name = "Divesh Srivastava";
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 number of papers written by " H. V. Jagadish " and " Divesh Srivastava " before 2000 .
SELECT COUNT ( DISTINCT t5.title ) FROM writes AS t3 JOIN author AS t2 ON t3.aid = t2.aid JOIN publication AS t5 ON t3.pid = t5.pid JOIN writes AS t4 ON t4.pid = t5.pid JOIN author AS t1 ON t4.aid = t1.aid WHERE t2.name = "H. V. Jagadish" AND t1.name = "Divesh Srivastava" AND t5.year < 2000;
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 number of papers written by " H. V. Jagadish " , " Yunyao Li " , and " Cong Yu " .
SELECT COUNT ( DISTINCT t7.title ) FROM writes AS t4 JOIN author AS t2 ON t4.aid = t2.aid JOIN publication AS t7 ON t4.pid = t7.pid JOIN writes AS t5 ON t5.pid = t7.pid JOIN writes AS t6 ON t6.pid = t7.pid JOIN author AS t1 ON t5.aid = t1.aid JOIN author AS t3 ON t6.aid = t3.aid WHERE t2.name = "Cong Yu" AND t1.name = "H. V. Jagadish" AND t3.name = "Yunyao Li";
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 number of authors who have cooperated with " H. V. Jagadish " .
SELECT COUNT ( DISTINCT t2.name ) FROM writes AS t3 JOIN author AS t2 ON t3.aid = t2.aid JOIN publication AS t5 ON t3.pid = t5.pid JOIN writes AS t4 ON t4.pid = t5.pid JOIN author AS t1 ON t4.aid = t1.aid WHERE t1.name = "H. V. Jagadish";
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 number of authors who have cited the papers by " H. V. Jagadish " .
SELECT COUNT ( DISTINCT t2.name ) FROM publication AS t7 JOIN cite AS t5 ON t7.pid = t5.citing JOIN publication AS t6 ON t6.pid = t5.cited JOIN writes AS t3 ON t3.pid = t7.pid JOIN writes AS t4 ON t4.pid = t6.pid JOIN author AS t2 ON t3.aid = t2.aid JOIN author AS t1 ON t4.aid = t1.aid WHERE t1.name = "H. V. Jagadish";
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 papers written by " H. V. Jagadish " and " Divesh Srivastava " with more than 200 citations .
SELECT t5.title FROM writes AS t3 JOIN author AS t2 ON t3.aid = t2.aid JOIN publication AS t5 ON t3.pid = t5.pid JOIN writes AS t4 ON t4.pid = t5.pid JOIN author AS t1 ON t4.aid = t1.aid WHERE t2.name = "H. V. Jagadish" AND t1.name = "Divesh Srivastava" AND t5.citation_num > 200;
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 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 ORDER BY COUNT ( DISTINCT t3.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 conference that has the most number of 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 ORDER BY COUNT ( DISTINCT t3.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 conference, which has the most number of 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 ORDER BY COUNT ( DISTINCT t3.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 journal that has the most number of 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 ORDER BY COUNT ( DISTINCT t2.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 journal, which has the most number of 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 ORDER BY COUNT ( DISTINCT t2.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 keyword, which have been contained by the most number of 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 ORDER BY COUNT ( DISTINCT t3.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 keyword, which have been contained by the most number of 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 ORDER BY COUNT ( DISTINCT t2.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 keyword, which have been contained by the most number of papers by " 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 ORDER BY COUNT ( DISTINCT t3.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 the most 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 ORDER BY SUM ( t4.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 author in the " University of Michigan " whose papers in Databases area have the most total citations .
SELECT t1.name FROM DOMAIN AS t4 JOIN domain_publication AS t2 ON t4.did = t2.did JOIN publication AS t5 ON t5.pid = t2.pid JOIN writes AS t3 ON t3.pid = t5.pid JOIN author AS t1 ON t3.aid = t1.aid JOIN organization AS t6 ON t6.oid = t1.oid WHERE t4.name = "Databases" AND t6.name = "University of Michigan" GROUP BY t1.name ORDER BY SUM ( t5.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 papers written by " H. V. Jagadish " and " Divesh Srivastava " with the most number of citations .
SELECT t5.title FROM writes AS t3 JOIN author AS t2 ON t3.aid = t2.aid JOIN publication AS t5 ON t3.pid = t5.pid JOIN writes AS t4 ON t4.pid = t5.pid JOIN author AS t1 ON t4.aid = t1.aid WHERE t2.name = "Divesh Srivastava" AND t1.name = "H. V. Jagadish" ORDER BY t5.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 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: []