input
stringlengths
667
7.62k
output
stringlengths
41
600
db_id
stringlengths
3
31
query
stringlengths
18
577
question
stringlengths
3
224
schema
stringlengths
177
6.14k
primary_keys
stringlengths
16
545
foreign_keys
stringlengths
16
1.48k
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>What are keyphrases by Christof Dallermassl in 2000 ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t2.keyphraseid FROM paper AS t3 JOIN paperkeyphrase AS t2 ON t3.paperid = t2.paperid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t1.authorname = "Christof Dallermassl" AND t3.year = 2000;</SQL_QUERY>
scholar
SELECT DISTINCT t2.keyphraseid FROM paper AS t3 JOIN paperkeyphrase AS t2 ON t3.paperid = t2.paperid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t1.authorname = "Christof Dallermassl" AND t3.year = 2000;
What are keyphrases by Christof Dallermassl in 2000 ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>what author is most cited ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t1.authorname , COUNT ( t3.citingpaperid ) FROM writes AS t2 JOIN author AS t1 ON t2.authorid = t1.authorid JOIN cite AS t3 ON t2.paperid = t3.citedpaperid GROUP BY t1.authorname ORDER BY COUNT ( t3.citingpaperid ) DESC;</SQL_QUERY>
scholar
SELECT DISTINCT t1.authorname , COUNT ( t3.citingpaperid ) FROM writes AS t2 JOIN author AS t1 ON t2.authorid = t1.authorid JOIN cite AS t3 ON t2.paperid = t3.citedpaperid GROUP BY t1.authorname ORDER BY COUNT ( t3.citingpaperid ) DESC;
what author is most cited ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>journal articles by mohammad rastegari</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t3.paperid FROM writes AS t2 JOIN author AS t1 ON t2.authorid = t1.authorid JOIN paper AS t3 ON t2.paperid = t3.paperid WHERE t1.authorname = "mohammad rastegari" AND t3.journalid >= 0;</SQL_QUERY>
scholar
SELECT DISTINCT t3.paperid FROM writes AS t2 JOIN author AS t1 ON t2.authorid = t1.authorid JOIN paper AS t3 ON t2.paperid = t3.paperid WHERE t1.authorname = "mohammad rastegari" AND t3.journalid >= 0;
journal articles by mohammad rastegari
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>Journal Papers by mohammad rastegari</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t3.paperid FROM writes AS t2 JOIN author AS t1 ON t2.authorid = t1.authorid JOIN paper AS t3 ON t2.paperid = t3.paperid WHERE t1.authorname = "mohammad rastegari" AND t3.journalid >= 0;</SQL_QUERY>
scholar
SELECT DISTINCT t3.paperid FROM writes AS t2 JOIN author AS t1 ON t2.authorid = t1.authorid JOIN paper AS t3 ON t2.paperid = t3.paperid WHERE t1.authorname = "mohammad rastegari" AND t3.journalid >= 0;
Journal Papers by mohammad rastegari
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>best paper in TACL 2014 ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT COUNT ( DISTINCT t3.citingpaperid ) , t1.paperid FROM paper AS t1 JOIN cite AS t3 ON t1.paperid = t3.citedpaperid JOIN venue AS t2 ON t2.venueid = t1.venueid WHERE t1.year = 2014 AND t2.venuename = "TACL" GROUP BY t1.paperid ORDER BY COUNT ( DISTINCT t3.citingpaperid ) DESC;</SQL_QUERY>
scholar
SELECT DISTINCT COUNT ( DISTINCT t3.citingpaperid ) , t1.paperid FROM paper AS t1 JOIN cite AS t3 ON t1.paperid = t3.citedpaperid JOIN venue AS t2 ON t2.venueid = t1.venueid WHERE t1.year = 2014 AND t2.venuename = "TACL" GROUP BY t1.paperid ORDER BY COUNT ( DISTINCT t3.citingpaperid ) DESC;
best paper in TACL 2014 ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>What was the best paper at TACL 2014 ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT COUNT ( DISTINCT t3.citingpaperid ) , t1.paperid FROM paper AS t1 JOIN cite AS t3 ON t1.paperid = t3.citedpaperid JOIN venue AS t2 ON t2.venueid = t1.venueid WHERE t1.year = 2014 AND t2.venuename = "TACL" GROUP BY t1.paperid ORDER BY COUNT ( DISTINCT t3.citingpaperid ) DESC;</SQL_QUERY>
scholar
SELECT DISTINCT COUNT ( DISTINCT t3.citingpaperid ) , t1.paperid FROM paper AS t1 JOIN cite AS t3 ON t1.paperid = t3.citedpaperid JOIN venue AS t2 ON t2.venueid = t1.venueid WHERE t1.year = 2014 AND t2.venuename = "TACL" GROUP BY t1.paperid ORDER BY COUNT ( DISTINCT t3.citingpaperid ) DESC;
What was the best paper at TACL 2014 ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>who published at acl 2016 ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t1.authorid FROM venue AS t3 JOIN paper AS t2 ON t3.venueid = t2.venueid JOIN writes AS t1 ON t1.paperid = t2.paperid WHERE t2.year = 2016 AND t3.venuename = "acl";</SQL_QUERY>
scholar
SELECT DISTINCT t1.authorid FROM venue AS t3 JOIN paper AS t2 ON t3.venueid = t2.venueid JOIN writes AS t1 ON t1.paperid = t2.paperid WHERE t2.year = 2016 AND t3.venuename = "acl";
who published at acl 2016 ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>acl 2016 authors</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t1.authorid FROM venue AS t3 JOIN paper AS t2 ON t3.venueid = t2.venueid JOIN writes AS t1 ON t1.paperid = t2.paperid WHERE t2.year = 2016 AND t3.venuename = "acl";</SQL_QUERY>
scholar
SELECT DISTINCT t1.authorid FROM venue AS t3 JOIN paper AS t2 ON t3.venueid = t2.venueid JOIN writes AS t1 ON t1.paperid = t2.paperid WHERE t2.year = 2016 AND t3.venuename = "acl";
acl 2016 authors
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>authors of acl 2016 papers</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t1.authorid FROM venue AS t3 JOIN paper AS t2 ON t3.venueid = t2.venueid JOIN writes AS t1 ON t1.paperid = t2.paperid WHERE t2.year = 2016 AND t3.venuename = "acl";</SQL_QUERY>
scholar
SELECT DISTINCT t1.authorid FROM venue AS t3 JOIN paper AS t2 ON t3.venueid = t2.venueid JOIN writes AS t1 ON t1.paperid = t2.paperid WHERE t2.year = 2016 AND t3.venuename = "acl";
authors of acl 2016 papers
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>List of authors acl 2016</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t1.authorid FROM venue AS t3 JOIN paper AS t2 ON t3.venueid = t2.venueid JOIN writes AS t1 ON t1.paperid = t2.paperid WHERE t2.year = 2016 AND t3.venuename = "acl";</SQL_QUERY>
scholar
SELECT DISTINCT t1.authorid FROM venue AS t3 JOIN paper AS t2 ON t3.venueid = t2.venueid JOIN writes AS t1 ON t1.paperid = t2.paperid WHERE t2.year = 2016 AND t3.venuename = "acl";
List of authors acl 2016
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>author published acl 2016</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t1.authorid FROM venue AS t3 JOIN paper AS t2 ON t3.venueid = t2.venueid JOIN writes AS t1 ON t1.paperid = t2.paperid WHERE t2.year = 2016 AND t3.venuename = "acl";</SQL_QUERY>
scholar
SELECT DISTINCT t1.authorid FROM venue AS t3 JOIN paper AS t2 ON t3.venueid = t2.venueid JOIN writes AS t1 ON t1.paperid = t2.paperid WHERE t2.year = 2016 AND t3.venuename = "acl";
author published acl 2016
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>who had papers at acl 2016 ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t1.authorid FROM venue AS t3 JOIN paper AS t2 ON t3.venueid = t2.venueid JOIN writes AS t1 ON t1.paperid = t2.paperid WHERE t2.year = 2016 AND t3.venuename = "acl";</SQL_QUERY>
scholar
SELECT DISTINCT t1.authorid FROM venue AS t3 JOIN paper AS t2 ON t3.venueid = t2.venueid JOIN writes AS t1 ON t1.paperid = t2.paperid WHERE t2.year = 2016 AND t3.venuename = "acl";
who had papers at acl 2016 ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>List of authors in acl 2016</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t1.authorid FROM venue AS t3 JOIN paper AS t2 ON t3.venueid = t2.venueid JOIN writes AS t1 ON t1.paperid = t2.paperid WHERE t2.year = 2016 AND t3.venuename = "acl";</SQL_QUERY>
scholar
SELECT DISTINCT t1.authorid FROM venue AS t3 JOIN paper AS t2 ON t3.venueid = t2.venueid JOIN writes AS t1 ON t1.paperid = t2.paperid WHERE t2.year = 2016 AND t3.venuename = "acl";
List of authors in acl 2016
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>How many papers were written on Multiuser Receiver in the Decision Feedback this year ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t3.paperid FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "Multiuser Receiver in the Decision Feedback" AND t3.year = 2016 GROUP BY t3.paperid HAVING COUNT ( DISTINCT t1.keyphrasename ) > 1;</SQL_QUERY>
scholar
SELECT DISTINCT t3.paperid FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "Multiuser Receiver in the Decision Feedback" AND t3.year = 2016 GROUP BY t3.paperid HAVING COUNT ( DISTINCT t1.keyphrasename ) > 1;
How many papers were written on Multiuser Receiver in the Decision Feedback this year ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>How many papers run experiments on ImageNet ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT COUNT ( DISTINCT t3.paperid ) FROM paperdataset AS t2 JOIN dataset AS t1 ON t2.datasetid = t1.datasetid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.datasetname LIKE "ImageNet";</SQL_QUERY>
scholar
SELECT DISTINCT COUNT ( DISTINCT t3.paperid ) FROM paperdataset AS t2 JOIN dataset AS t1 ON t2.datasetid = t1.datasetid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.datasetname LIKE "ImageNet";
How many papers run experiments on ImageNet ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>How many papers used ImageNet dataset ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT COUNT ( DISTINCT t3.paperid ) FROM paperdataset AS t2 JOIN dataset AS t1 ON t2.datasetid = t1.datasetid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.datasetname LIKE "ImageNet";</SQL_QUERY>
scholar
SELECT DISTINCT COUNT ( DISTINCT t3.paperid ) FROM paperdataset AS t2 JOIN dataset AS t1 ON t2.datasetid = t1.datasetid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.datasetname LIKE "ImageNet";
How many papers used ImageNet dataset ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>How many papers written on ImageNet ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT COUNT ( DISTINCT t3.paperid ) FROM paperdataset AS t2 JOIN dataset AS t1 ON t2.datasetid = t1.datasetid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.datasetname LIKE "ImageNet";</SQL_QUERY>
scholar
SELECT DISTINCT COUNT ( DISTINCT t3.paperid ) FROM paperdataset AS t2 JOIN dataset AS t1 ON t2.datasetid = t1.datasetid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.datasetname LIKE "ImageNet";
How many papers written on ImageNet ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>how many papers are based on ImageNet</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT COUNT ( DISTINCT t3.paperid ) FROM paperdataset AS t2 JOIN dataset AS t1 ON t2.datasetid = t1.datasetid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.datasetname LIKE "ImageNet";</SQL_QUERY>
scholar
SELECT DISTINCT COUNT ( DISTINCT t3.paperid ) FROM paperdataset AS t2 JOIN dataset AS t1 ON t2.datasetid = t1.datasetid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.datasetname LIKE "ImageNet";
how many papers are based on ImageNet
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>how many papers use ImageNet ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT COUNT ( DISTINCT t3.paperid ) FROM paperdataset AS t2 JOIN dataset AS t1 ON t2.datasetid = t1.datasetid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.datasetname LIKE "ImageNet";</SQL_QUERY>
scholar
SELECT DISTINCT COUNT ( DISTINCT t3.paperid ) FROM paperdataset AS t2 JOIN dataset AS t1 ON t2.datasetid = t1.datasetid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.datasetname LIKE "ImageNet";
how many papers use ImageNet ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>How many papers did Mirella Lapata cite ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT COUNT ( t3.citedpaperid ) FROM writes AS t2 JOIN author AS t1 ON t2.authorid = t1.authorid JOIN cite AS t3 ON t2.paperid = t3.citingpaperid WHERE t1.authorname = "Mirella Lapata";</SQL_QUERY>
scholar
SELECT DISTINCT COUNT ( t3.citedpaperid ) FROM writes AS t2 JOIN author AS t1 ON t2.authorid = t1.authorid JOIN cite AS t3 ON t2.paperid = t3.citingpaperid WHERE t1.authorname = "Mirella Lapata";
How many papers did Mirella Lapata cite ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>how many papers does Mirella Lapata cite</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT COUNT ( t3.citedpaperid ) FROM writes AS t2 JOIN author AS t1 ON t2.authorid = t1.authorid JOIN cite AS t3 ON t2.paperid = t3.citingpaperid WHERE t1.authorname = "Mirella Lapata";</SQL_QUERY>
scholar
SELECT DISTINCT COUNT ( t3.citedpaperid ) FROM writes AS t2 JOIN author AS t1 ON t2.authorid = t1.authorid JOIN cite AS t3 ON t2.paperid = t3.citingpaperid WHERE t1.authorname = "Mirella Lapata";
how many papers does Mirella Lapata cite
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>how many papers has Mirella Lapata cited ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT COUNT ( t3.citedpaperid ) FROM writes AS t2 JOIN author AS t1 ON t2.authorid = t1.authorid JOIN cite AS t3 ON t2.paperid = t3.citingpaperid WHERE t1.authorname = "Mirella Lapata";</SQL_QUERY>
scholar
SELECT DISTINCT COUNT ( t3.citedpaperid ) FROM writes AS t2 JOIN author AS t1 ON t2.authorid = t1.authorid JOIN cite AS t3 ON t2.paperid = t3.citingpaperid WHERE t1.authorname = "Mirella Lapata";
how many papers has Mirella Lapata cited ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>When does Michael Stonebraker publish the first VLDB paper ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t3.year FROM venue AS t4 JOIN paper AS t3 ON t4.venueid = t3.venueid JOIN writes AS t2 ON t2.paperid = t3.paperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "Michael Stonebraker" AND t4.venuename = "VLDB" ORDER BY t3.year;</SQL_QUERY>
scholar
SELECT DISTINCT t3.year FROM venue AS t4 JOIN paper AS t3 ON t4.venueid = t3.venueid JOIN writes AS t2 ON t2.paperid = t3.paperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "Michael Stonebraker" AND t4.venuename = "VLDB" ORDER BY t3.year;
When does Michael Stonebraker publish the first VLDB paper ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>semantic parsing dataset</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t2.datasetid FROM paperdataset AS t3 JOIN dataset AS t2 ON t3.datasetid = t2.datasetid JOIN paperkeyphrase AS t1 ON t1.paperid = t3.paperid JOIN keyphrase AS t4 ON t1.keyphraseid = t4.keyphraseid WHERE t4.keyphrasename = "semantic parsing";</SQL_QUERY>
scholar
SELECT DISTINCT t2.datasetid FROM paperdataset AS t3 JOIN dataset AS t2 ON t3.datasetid = t2.datasetid JOIN paperkeyphrase AS t1 ON t1.paperid = t3.paperid JOIN keyphrase AS t4 ON t1.keyphraseid = t4.keyphraseid WHERE t4.keyphrasename = "semantic parsing";
semantic parsing dataset
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>data sets for semantic parsing</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t2.datasetid FROM paperdataset AS t3 JOIN dataset AS t2 ON t3.datasetid = t2.datasetid JOIN paperkeyphrase AS t1 ON t1.paperid = t3.paperid JOIN keyphrase AS t4 ON t1.keyphraseid = t4.keyphraseid WHERE t4.keyphrasename = "semantic parsing";</SQL_QUERY>
scholar
SELECT DISTINCT t2.datasetid FROM paperdataset AS t3 JOIN dataset AS t2 ON t3.datasetid = t2.datasetid JOIN paperkeyphrase AS t1 ON t1.paperid = t3.paperid JOIN keyphrase AS t4 ON t1.keyphraseid = t4.keyphraseid WHERE t4.keyphrasename = "semantic parsing";
data sets for semantic parsing
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>list datasets for semantic parsing</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t2.datasetid FROM paperdataset AS t3 JOIN dataset AS t2 ON t3.datasetid = t2.datasetid JOIN paperkeyphrase AS t1 ON t1.paperid = t3.paperid JOIN keyphrase AS t4 ON t1.keyphraseid = t4.keyphraseid WHERE t4.keyphrasename = "semantic parsing";</SQL_QUERY>
scholar
SELECT DISTINCT t2.datasetid FROM paperdataset AS t3 JOIN dataset AS t2 ON t3.datasetid = t2.datasetid JOIN paperkeyphrase AS t1 ON t1.paperid = t3.paperid JOIN keyphrase AS t4 ON t1.keyphraseid = t4.keyphraseid WHERE t4.keyphrasename = "semantic parsing";
list datasets for semantic parsing
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>datasets for semantic parsing</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t2.datasetid FROM paperdataset AS t3 JOIN dataset AS t2 ON t3.datasetid = t2.datasetid JOIN paperkeyphrase AS t1 ON t1.paperid = t3.paperid JOIN keyphrase AS t4 ON t1.keyphraseid = t4.keyphraseid WHERE t4.keyphrasename = "semantic parsing";</SQL_QUERY>
scholar
SELECT DISTINCT t2.datasetid FROM paperdataset AS t3 JOIN dataset AS t2 ON t3.datasetid = t2.datasetid JOIN paperkeyphrase AS t1 ON t1.paperid = t3.paperid JOIN keyphrase AS t4 ON t1.keyphraseid = t4.keyphraseid WHERE t4.keyphrasename = "semantic parsing";
datasets for semantic parsing
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>Datasets with semantic parsing information</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t2.datasetid FROM paperdataset AS t3 JOIN dataset AS t2 ON t3.datasetid = t2.datasetid JOIN paperkeyphrase AS t1 ON t1.paperid = t3.paperid JOIN keyphrase AS t4 ON t1.keyphraseid = t4.keyphraseid WHERE t4.keyphrasename = "semantic parsing";</SQL_QUERY>
scholar
SELECT DISTINCT t2.datasetid FROM paperdataset AS t3 JOIN dataset AS t2 ON t3.datasetid = t2.datasetid JOIN paperkeyphrase AS t1 ON t1.paperid = t3.paperid JOIN keyphrase AS t4 ON t1.keyphraseid = t4.keyphraseid WHERE t4.keyphrasename = "semantic parsing";
Datasets with semantic parsing information
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>datasets used by semantic parsing papers</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t2.datasetid FROM paperdataset AS t3 JOIN dataset AS t2 ON t3.datasetid = t2.datasetid JOIN paperkeyphrase AS t1 ON t1.paperid = t3.paperid JOIN keyphrase AS t4 ON t1.keyphraseid = t4.keyphraseid WHERE t4.keyphrasename = "semantic parsing";</SQL_QUERY>
scholar
SELECT DISTINCT t2.datasetid FROM paperdataset AS t3 JOIN dataset AS t2 ON t3.datasetid = t2.datasetid JOIN paperkeyphrase AS t1 ON t1.paperid = t3.paperid JOIN keyphrase AS t4 ON t1.keyphraseid = t4.keyphraseid WHERE t4.keyphrasename = "semantic parsing";
datasets used by semantic parsing papers
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>datasets in semantic parsing papers</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t2.datasetid FROM paperdataset AS t3 JOIN dataset AS t2 ON t3.datasetid = t2.datasetid JOIN paperkeyphrase AS t1 ON t1.paperid = t3.paperid JOIN keyphrase AS t4 ON t1.keyphraseid = t4.keyphraseid WHERE t4.keyphrasename = "semantic parsing";</SQL_QUERY>
scholar
SELECT DISTINCT t2.datasetid FROM paperdataset AS t3 JOIN dataset AS t2 ON t3.datasetid = t2.datasetid JOIN paperkeyphrase AS t1 ON t1.paperid = t3.paperid JOIN keyphrase AS t4 ON t1.keyphraseid = t4.keyphraseid WHERE t4.keyphrasename = "semantic parsing";
datasets in semantic parsing papers
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>semantic parsing datasets</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t2.datasetid FROM paperdataset AS t3 JOIN dataset AS t2 ON t3.datasetid = t2.datasetid JOIN paperkeyphrase AS t1 ON t1.paperid = t3.paperid JOIN keyphrase AS t4 ON t1.keyphraseid = t4.keyphraseid WHERE t4.keyphrasename = "semantic parsing";</SQL_QUERY>
scholar
SELECT DISTINCT t2.datasetid FROM paperdataset AS t3 JOIN dataset AS t2 ON t3.datasetid = t2.datasetid JOIN paperkeyphrase AS t1 ON t1.paperid = t3.paperid JOIN keyphrase AS t4 ON t1.keyphraseid = t4.keyphraseid WHERE t4.keyphrasename = "semantic parsing";
semantic parsing datasets
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>datasets in papers about semantic parsing</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t2.datasetid FROM paperdataset AS t3 JOIN dataset AS t2 ON t3.datasetid = t2.datasetid JOIN paperkeyphrase AS t1 ON t1.paperid = t3.paperid JOIN keyphrase AS t4 ON t1.keyphraseid = t4.keyphraseid WHERE t4.keyphrasename = "semantic parsing";</SQL_QUERY>
scholar
SELECT DISTINCT t2.datasetid FROM paperdataset AS t3 JOIN dataset AS t2 ON t3.datasetid = t2.datasetid JOIN paperkeyphrase AS t1 ON t1.paperid = t3.paperid JOIN keyphrase AS t4 ON t1.keyphraseid = t4.keyphraseid WHERE t4.keyphrasename = "semantic parsing";
datasets in papers about semantic parsing
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>datasets used for semantic parsing</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t2.datasetid FROM paperdataset AS t3 JOIN dataset AS t2 ON t3.datasetid = t2.datasetid JOIN paperkeyphrase AS t1 ON t1.paperid = t3.paperid JOIN keyphrase AS t4 ON t1.keyphraseid = t4.keyphraseid WHERE t4.keyphrasename = "semantic parsing";</SQL_QUERY>
scholar
SELECT DISTINCT t2.datasetid FROM paperdataset AS t3 JOIN dataset AS t2 ON t3.datasetid = t2.datasetid JOIN paperkeyphrase AS t1 ON t1.paperid = t3.paperid JOIN keyphrase AS t4 ON t1.keyphraseid = t4.keyphraseid WHERE t4.keyphrasename = "semantic parsing";
datasets used for semantic parsing
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>large-scale datasets used in semantic parsing</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t2.datasetid FROM paperdataset AS t3 JOIN dataset AS t2 ON t3.datasetid = t2.datasetid JOIN paperkeyphrase AS t1 ON t1.paperid = t3.paperid JOIN keyphrase AS t4 ON t1.keyphraseid = t4.keyphraseid WHERE t4.keyphrasename = "semantic parsing";</SQL_QUERY>
scholar
SELECT DISTINCT t2.datasetid FROM paperdataset AS t3 JOIN dataset AS t2 ON t3.datasetid = t2.datasetid JOIN paperkeyphrase AS t1 ON t1.paperid = t3.paperid JOIN keyphrase AS t4 ON t1.keyphraseid = t4.keyphraseid WHERE t4.keyphrasename = "semantic parsing";
large-scale datasets used in semantic parsing
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>datasets with semantic parsing</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t2.datasetid FROM paperdataset AS t3 JOIN dataset AS t2 ON t3.datasetid = t2.datasetid JOIN paperkeyphrase AS t1 ON t1.paperid = t3.paperid JOIN keyphrase AS t4 ON t1.keyphraseid = t4.keyphraseid WHERE t4.keyphrasename = "semantic parsing";</SQL_QUERY>
scholar
SELECT DISTINCT t2.datasetid FROM paperdataset AS t3 JOIN dataset AS t2 ON t3.datasetid = t2.datasetid JOIN paperkeyphrase AS t1 ON t1.paperid = t3.paperid JOIN keyphrase AS t4 ON t1.keyphraseid = t4.keyphraseid WHERE t4.keyphrasename = "semantic parsing";
datasets with semantic parsing
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>datasets used for evaluating semantic parsing</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t2.datasetid FROM paperdataset AS t3 JOIN dataset AS t2 ON t3.datasetid = t2.datasetid JOIN paperkeyphrase AS t1 ON t1.paperid = t3.paperid JOIN keyphrase AS t4 ON t1.keyphraseid = t4.keyphraseid WHERE t4.keyphrasename = "semantic parsing";</SQL_QUERY>
scholar
SELECT DISTINCT t2.datasetid FROM paperdataset AS t3 JOIN dataset AS t2 ON t3.datasetid = t2.datasetid JOIN paperkeyphrase AS t1 ON t1.paperid = t3.paperid JOIN keyphrase AS t4 ON t1.keyphraseid = t4.keyphraseid WHERE t4.keyphrasename = "semantic parsing";
datasets used for evaluating semantic parsing
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>where does Peter Mertens publish ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t3.journalid , t4.venueid FROM venue AS t4 JOIN paper AS t3 ON t4.venueid = t3.venueid JOIN writes AS t2 ON t2.paperid = t3.paperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "Peter Mertens";</SQL_QUERY>
scholar
SELECT DISTINCT t3.journalid , t4.venueid FROM venue AS t4 JOIN paper AS t3 ON t4.venueid = t3.venueid JOIN writes AS t2 ON t2.paperid = t3.paperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "Peter Mertens";
where does Peter Mertens publish ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>in what venues does Peter Mertens publish ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t3.journalid , t4.venueid FROM venue AS t4 JOIN paper AS t3 ON t4.venueid = t3.venueid JOIN writes AS t2 ON t2.paperid = t3.paperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "Peter Mertens";</SQL_QUERY>
scholar
SELECT DISTINCT t3.journalid , t4.venueid FROM venue AS t4 JOIN paper AS t3 ON t4.venueid = t3.venueid JOIN writes AS t2 ON t2.paperid = t3.paperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "Peter Mertens";
in what venues does Peter Mertens publish ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>Where does Peter Mertens publish ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t3.journalid , t4.venueid FROM venue AS t4 JOIN paper AS t3 ON t4.venueid = t3.venueid JOIN writes AS t2 ON t2.paperid = t3.paperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "Peter Mertens";</SQL_QUERY>
scholar
SELECT DISTINCT t3.journalid , t4.venueid FROM venue AS t4 JOIN paper AS t3 ON t4.venueid = t3.venueid JOIN writes AS t2 ON t2.paperid = t3.paperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "Peter Mertens";
Where does Peter Mertens publish ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>how many papers appeared at nature communications last year</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT COUNT ( t1.paperid ) FROM venue AS t2 JOIN paper AS t1 ON t2.venueid = t1.venueid WHERE t1.year = 2015 AND t2.venuename = "nature communications";</SQL_QUERY>
scholar
SELECT DISTINCT COUNT ( t1.paperid ) FROM venue AS t2 JOIN paper AS t1 ON t2.venueid = t1.venueid WHERE t1.year = 2015 AND t2.venuename = "nature communications";
how many papers appeared at nature communications last year
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>How many papers were at nature communications 2015 ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT COUNT ( t1.paperid ) FROM venue AS t2 JOIN paper AS t1 ON t2.venueid = t1.venueid WHERE t1.year = 2015 AND t2.venuename = "nature communications";</SQL_QUERY>
scholar
SELECT DISTINCT COUNT ( t1.paperid ) FROM venue AS t2 JOIN paper AS t1 ON t2.venueid = t1.venueid WHERE t1.year = 2015 AND t2.venuename = "nature communications";
How many papers were at nature communications 2015 ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>how many papers accepted in nature communications 2015</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT COUNT ( t1.paperid ) FROM venue AS t2 JOIN paper AS t1 ON t2.venueid = t1.venueid WHERE t1.year = 2015 AND t2.venuename = "nature communications";</SQL_QUERY>
scholar
SELECT DISTINCT COUNT ( t1.paperid ) FROM venue AS t2 JOIN paper AS t1 ON t2.venueid = t1.venueid WHERE t1.year = 2015 AND t2.venuename = "nature communications";
how many papers accepted in nature communications 2015
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>How many papers were published in nature communications in 2015 ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT COUNT ( t1.paperid ) FROM venue AS t2 JOIN paper AS t1 ON t2.venueid = t1.venueid WHERE t1.year = 2015 AND t2.venuename = "nature communications";</SQL_QUERY>
scholar
SELECT DISTINCT COUNT ( t1.paperid ) FROM venue AS t2 JOIN paper AS t1 ON t2.venueid = t1.venueid WHERE t1.year = 2015 AND t2.venuename = "nature communications";
How many papers were published in nature communications in 2015 ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>How many papers on nature communications in 2015 ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT COUNT ( t1.paperid ) FROM venue AS t2 JOIN paper AS t1 ON t2.venueid = t1.venueid WHERE t1.year = 2015 AND t2.venuename = "nature communications";</SQL_QUERY>
scholar
SELECT DISTINCT COUNT ( t1.paperid ) FROM venue AS t2 JOIN paper AS t1 ON t2.venueid = t1.venueid WHERE t1.year = 2015 AND t2.venuename = "nature communications";
How many papers on nature communications in 2015 ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>how many papers in nature communications 2015</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT COUNT ( t1.paperid ) FROM venue AS t2 JOIN paper AS t1 ON t2.venueid = t1.venueid WHERE t1.year = 2015 AND t2.venuename = "nature communications";</SQL_QUERY>
scholar
SELECT DISTINCT COUNT ( t1.paperid ) FROM venue AS t2 JOIN paper AS t1 ON t2.venueid = t1.venueid WHERE t1.year = 2015 AND t2.venuename = "nature communications";
how many papers in nature communications 2015
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>How many papers were accepted at nature communications 2015 ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT COUNT ( t1.paperid ) FROM venue AS t2 JOIN paper AS t1 ON t2.venueid = t1.venueid WHERE t1.year = 2015 AND t2.venuename = "nature communications";</SQL_QUERY>
scholar
SELECT DISTINCT COUNT ( t1.paperid ) FROM venue AS t2 JOIN paper AS t1 ON t2.venueid = t1.venueid WHERE t1.year = 2015 AND t2.venuename = "nature communications";
How many papers were accepted at nature communications 2015 ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>How many papers are presented in nature communications 2015 ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT COUNT ( t1.paperid ) FROM venue AS t2 JOIN paper AS t1 ON t2.venueid = t1.venueid WHERE t1.year = 2015 AND t2.venuename = "nature communications";</SQL_QUERY>
scholar
SELECT DISTINCT COUNT ( t1.paperid ) FROM venue AS t2 JOIN paper AS t1 ON t2.venueid = t1.venueid WHERE t1.year = 2015 AND t2.venuename = "nature communications";
How many papers are presented in nature communications 2015 ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>How many papers published in nature communications in 2015 ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT COUNT ( t1.paperid ) FROM venue AS t2 JOIN paper AS t1 ON t2.venueid = t1.venueid WHERE t1.year = 2015 AND t2.venuename = "nature communications";</SQL_QUERY>
scholar
SELECT DISTINCT COUNT ( t1.paperid ) FROM venue AS t2 JOIN paper AS t1 ON t2.venueid = t1.venueid WHERE t1.year = 2015 AND t2.venuename = "nature communications";
How many papers published in nature communications in 2015 ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>how many papers published in nature communications 2015 ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT COUNT ( t1.paperid ) FROM venue AS t2 JOIN paper AS t1 ON t2.venueid = t1.venueid WHERE t1.year = 2015 AND t2.venuename = "nature communications";</SQL_QUERY>
scholar
SELECT DISTINCT COUNT ( t1.paperid ) FROM venue AS t2 JOIN paper AS t1 ON t2.venueid = t1.venueid WHERE t1.year = 2015 AND t2.venuename = "nature communications";
how many papers published in nature communications 2015 ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>How many papers were published in nature communications 2015 conference ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT COUNT ( t1.paperid ) FROM venue AS t2 JOIN paper AS t1 ON t2.venueid = t1.venueid WHERE t1.year = 2015 AND t2.venuename = "nature communications";</SQL_QUERY>
scholar
SELECT DISTINCT COUNT ( t1.paperid ) FROM venue AS t2 JOIN paper AS t1 ON t2.venueid = t1.venueid WHERE t1.year = 2015 AND t2.venuename = "nature communications";
How many papers were published in nature communications 2015 conference ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>How many papers was published in nature communications in 2015</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT COUNT ( t1.paperid ) FROM venue AS t2 JOIN paper AS t1 ON t2.venueid = t1.venueid WHERE t1.year = 2015 AND t2.venuename = "nature communications";</SQL_QUERY>
scholar
SELECT DISTINCT COUNT ( t1.paperid ) FROM venue AS t2 JOIN paper AS t1 ON t2.venueid = t1.venueid WHERE t1.year = 2015 AND t2.venuename = "nature communications";
How many papers was published in nature communications in 2015
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>what was the first deep learning paper ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t2.datasetid , t4.year FROM paperdataset AS t3 JOIN dataset AS t2 ON t3.datasetid = t2.datasetid JOIN paperkeyphrase AS t1 ON t1.paperid = t3.paperid JOIN paper AS t4 ON t4.paperid = t3.paperid JOIN keyphrase AS t5 ON t1.keyphraseid = t5.keyphraseid WHERE t5.keyphrasename = "deep learning" ORDER BY t4.year ASC;</SQL_QUERY>
scholar
SELECT DISTINCT t2.datasetid , t4.year FROM paperdataset AS t3 JOIN dataset AS t2 ON t3.datasetid = t2.datasetid JOIN paperkeyphrase AS t1 ON t1.paperid = t3.paperid JOIN paper AS t4 ON t4.paperid = t3.paperid JOIN keyphrase AS t5 ON t1.keyphraseid = t5.keyphraseid WHERE t5.keyphrasename = "deep learning" ORDER BY t4.year ASC;
what was the first deep learning paper ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>what year was the first deep learning paper published ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t2.datasetid , t4.year FROM paperdataset AS t3 JOIN dataset AS t2 ON t3.datasetid = t2.datasetid JOIN paperkeyphrase AS t1 ON t1.paperid = t3.paperid JOIN paper AS t4 ON t4.paperid = t3.paperid JOIN keyphrase AS t5 ON t1.keyphraseid = t5.keyphraseid WHERE t5.keyphrasename = "deep learning" ORDER BY t4.year ASC;</SQL_QUERY>
scholar
SELECT DISTINCT t2.datasetid , t4.year FROM paperdataset AS t3 JOIN dataset AS t2 ON t3.datasetid = t2.datasetid JOIN paperkeyphrase AS t1 ON t1.paperid = t3.paperid JOIN paper AS t4 ON t4.paperid = t3.paperid JOIN keyphrase AS t5 ON t1.keyphraseid = t5.keyphraseid WHERE t5.keyphrasename = "deep learning" ORDER BY t4.year ASC;
what year was the first deep learning paper published ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>datasets mentioned at ACL</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t1.datasetid FROM paperdataset AS t2 JOIN dataset AS t1 ON t2.datasetid = t1.datasetid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN venue AS t4 ON t4.venueid = t3.venueid WHERE t4.venuename = "ACL";</SQL_QUERY>
scholar
SELECT DISTINCT t1.datasetid FROM paperdataset AS t2 JOIN dataset AS t1 ON t2.datasetid = t1.datasetid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN venue AS t4 ON t4.venueid = t3.venueid WHERE t4.venuename = "ACL";
datasets mentioned at ACL
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>what datasets do papers at ACL use most ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t1.datasetid FROM paperdataset AS t2 JOIN dataset AS t1 ON t2.datasetid = t1.datasetid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN venue AS t4 ON t4.venueid = t3.venueid WHERE t4.venuename = "ACL";</SQL_QUERY>
scholar
SELECT DISTINCT t1.datasetid FROM paperdataset AS t2 JOIN dataset AS t1 ON t2.datasetid = t1.datasetid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN venue AS t4 ON t4.venueid = t3.venueid WHERE t4.venuename = "ACL";
what datasets do papers at ACL use most ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>the papers on semantic parsing by li dong at acl in 2016</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t2.paperid FROM paperkeyphrase AS t5 JOIN keyphrase AS t3 ON t5.keyphraseid = t3.keyphraseid JOIN paper AS t2 ON t2.paperid = t5.paperid JOIN venue AS t6 ON t6.venueid = t2.venueid JOIN writes AS t4 ON t4.paperid = t2.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t1.authorname = "li dong" AND t3.keyphrasename = "semantic parsing" AND t2.year = 2016 AND t6.venuename = "acl";</SQL_QUERY>
scholar
SELECT DISTINCT t2.paperid FROM paperkeyphrase AS t5 JOIN keyphrase AS t3 ON t5.keyphraseid = t3.keyphraseid JOIN paper AS t2 ON t2.paperid = t5.paperid JOIN venue AS t6 ON t6.venueid = t2.venueid JOIN writes AS t4 ON t4.paperid = t2.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t1.authorname = "li dong" AND t3.keyphrasename = "semantic parsing" AND t2.year = 2016 AND t6.venuename = "acl";
the papers on semantic parsing by li dong at acl in 2016
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>How many papers were written on convolutional neural networks in the past year ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT COUNT ( t3.paperid ) FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "convolutional neural networks" AND t3.year = 2016;</SQL_QUERY>
scholar
SELECT DISTINCT COUNT ( t3.paperid ) FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "convolutional neural networks" AND t3.year = 2016;
How many papers were written on convolutional neural networks in the past year ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>How many papers were published on convolutional neural networks in 2016 ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT COUNT ( t3.paperid ) FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "convolutional neural networks" AND t3.year = 2016;</SQL_QUERY>
scholar
SELECT DISTINCT COUNT ( t3.paperid ) FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "convolutional neural networks" AND t3.year = 2016;
How many papers were published on convolutional neural networks in 2016 ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>How many papers were written on convolutional neural networks in 2016 ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT COUNT ( t3.paperid ) FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "convolutional neural networks" AND t3.year = 2016;</SQL_QUERY>
scholar
SELECT DISTINCT COUNT ( t3.paperid ) FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "convolutional neural networks" AND t3.year = 2016;
How many papers were written on convolutional neural networks in 2016 ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>How many papers were written on the convolutional neural networks this year ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT COUNT ( t3.paperid ) FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "convolutional neural networks" AND t3.year = 2016;</SQL_QUERY>
scholar
SELECT DISTINCT COUNT ( t3.paperid ) FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "convolutional neural networks" AND t3.year = 2016;
How many papers were written on the convolutional neural networks this year ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>how many papers on convolutional neural networks have been published in the past year ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT COUNT ( t3.paperid ) FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "convolutional neural networks" AND t3.year = 2016;</SQL_QUERY>
scholar
SELECT DISTINCT COUNT ( t3.paperid ) FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "convolutional neural networks" AND t3.year = 2016;
how many papers on convolutional neural networks have been published in the past year ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>What papers were written on question answering this year ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t3.paperid FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "question answering" AND t3.year = 2016;</SQL_QUERY>
scholar
SELECT DISTINCT t3.paperid FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "question answering" AND t3.year = 2016;
What papers were written on question answering this year ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>which year had the most NIPS papers ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT COUNT ( t1.paperid ) , t1.year FROM venue AS t2 JOIN paper AS t1 ON t2.venueid = t1.venueid WHERE t2.venuename = "NIPS" GROUP BY t1.year ORDER BY COUNT ( t1.paperid ) DESC;</SQL_QUERY>
scholar
SELECT DISTINCT COUNT ( t1.paperid ) , t1.year FROM venue AS t2 JOIN paper AS t1 ON t2.venueid = t1.venueid WHERE t2.venuename = "NIPS" GROUP BY t1.year ORDER BY COUNT ( t1.paperid ) DESC;
which year had the most NIPS papers ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>what year had the most NIPS papers ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT COUNT ( t1.paperid ) , t1.year FROM venue AS t2 JOIN paper AS t1 ON t2.venueid = t1.venueid WHERE t2.venuename = "NIPS" GROUP BY t1.year ORDER BY COUNT ( t1.paperid ) DESC;</SQL_QUERY>
scholar
SELECT DISTINCT COUNT ( t1.paperid ) , t1.year FROM venue AS t2 JOIN paper AS t1 ON t2.venueid = t1.venueid WHERE t2.venuename = "NIPS" GROUP BY t1.year ORDER BY COUNT ( t1.paperid ) DESC;
what year had the most NIPS papers ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>what year had the most number of NIPS papers ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT COUNT ( t1.paperid ) , t1.year FROM venue AS t2 JOIN paper AS t1 ON t2.venueid = t1.venueid WHERE t2.venuename = "NIPS" GROUP BY t1.year ORDER BY COUNT ( t1.paperid ) DESC;</SQL_QUERY>
scholar
SELECT DISTINCT COUNT ( t1.paperid ) , t1.year FROM venue AS t2 JOIN paper AS t1 ON t2.venueid = t1.venueid WHERE t2.venuename = "NIPS" GROUP BY t1.year ORDER BY COUNT ( t1.paperid ) DESC;
what year had the most number of NIPS papers ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>when were most NIPS papers published ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT COUNT ( t1.paperid ) , t1.year FROM venue AS t2 JOIN paper AS t1 ON t2.venueid = t1.venueid WHERE t2.venuename = "NIPS" GROUP BY t1.year ORDER BY COUNT ( t1.paperid ) DESC;</SQL_QUERY>
scholar
SELECT DISTINCT COUNT ( t1.paperid ) , t1.year FROM venue AS t2 JOIN paper AS t1 ON t2.venueid = t1.venueid WHERE t2.venuename = "NIPS" GROUP BY t1.year ORDER BY COUNT ( t1.paperid ) DESC;
when were most NIPS papers published ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>who writes papers with Noah A Smith ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t1.authorid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Noah A Smith";</SQL_QUERY>
scholar
SELECT DISTINCT t1.authorid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Noah A Smith";
who writes papers with Noah A Smith ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>Who is a coauthor with Noah A Smith ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t1.authorid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Noah A Smith";</SQL_QUERY>
scholar
SELECT DISTINCT t1.authorid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Noah A Smith";
Who is a coauthor with Noah A Smith ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>Who are Noah A Smith 's co-authors</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t1.authorid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Noah A Smith";</SQL_QUERY>
scholar
SELECT DISTINCT t1.authorid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Noah A Smith";
Who are Noah A Smith 's co-authors
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>Who has coauthored with Noah A Smith ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t1.authorid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Noah A Smith";</SQL_QUERY>
scholar
SELECT DISTINCT t1.authorid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Noah A Smith";
Who has coauthored with Noah A Smith ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>co-authors of Noah A Smith</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t1.authorid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Noah A Smith";</SQL_QUERY>
scholar
SELECT DISTINCT t1.authorid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Noah A Smith";
co-authors of Noah A Smith
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>author who wrote papers with Noah A Smith</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t1.authorid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Noah A Smith";</SQL_QUERY>
scholar
SELECT DISTINCT t1.authorid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Noah A Smith";
author who wrote papers with Noah A Smith
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>authors who collaborated with Noah A Smith</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t1.authorid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Noah A Smith";</SQL_QUERY>
scholar
SELECT DISTINCT t1.authorid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Noah A Smith";
authors who collaborated with Noah A Smith
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>who does Noah A Smith author with ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t1.authorid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Noah A Smith";</SQL_QUERY>
scholar
SELECT DISTINCT t1.authorid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Noah A Smith";
who does Noah A Smith author with ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>Who are Noah A Smith 's coauthors</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t1.authorid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Noah A Smith";</SQL_QUERY>
scholar
SELECT DISTINCT t1.authorid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Noah A Smith";
Who are Noah A Smith 's coauthors
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>who are all the co-authors of Noah A Smith ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t1.authorid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Noah A Smith";</SQL_QUERY>
scholar
SELECT DISTINCT t1.authorid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Noah A Smith";
who are all the co-authors of Noah A Smith ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>who does Noah A Smith work with ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t1.authorid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Noah A Smith";</SQL_QUERY>
scholar
SELECT DISTINCT t1.authorid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Noah A Smith";
who does Noah A Smith work with ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>who does Noah A Smith collaborate with ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t1.authorid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Noah A Smith";</SQL_QUERY>
scholar
SELECT DISTINCT t1.authorid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Noah A Smith";
who does Noah A Smith collaborate with ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>Who are Noah A Smith 's coauthors ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t1.authorid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Noah A Smith";</SQL_QUERY>
scholar
SELECT DISTINCT t1.authorid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Noah A Smith";
Who are Noah A Smith 's coauthors ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>coauthors of Noah A Smith</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t1.authorid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Noah A Smith";</SQL_QUERY>
scholar
SELECT DISTINCT t1.authorid FROM writes AS t3 JOIN author AS t2 ON t3.authorid = t2.authorid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t2.authorname = "Noah A Smith";
coauthors of Noah A Smith
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>what datasets did jitendra malik use ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t2.datasetid FROM paper AS t3 JOIN paperdataset AS t2 ON t3.paperid = t2.paperid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t1.authorname = "jitendra malik";</SQL_QUERY>
scholar
SELECT DISTINCT t2.datasetid FROM paper AS t3 JOIN paperdataset AS t2 ON t3.paperid = t2.paperid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t1.authorname = "jitendra malik";
what datasets did jitendra malik use ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>what datasets are used in papers by jitendra malik</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t2.datasetid FROM paper AS t3 JOIN paperdataset AS t2 ON t3.paperid = t2.paperid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t1.authorname = "jitendra malik";</SQL_QUERY>
scholar
SELECT DISTINCT t2.datasetid FROM paper AS t3 JOIN paperdataset AS t2 ON t3.paperid = t2.paperid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t1.authorname = "jitendra malik";
what datasets are used in papers by jitendra malik
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>what datasets did jitendra malik use in his papers ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t2.datasetid FROM paper AS t3 JOIN paperdataset AS t2 ON t3.paperid = t2.paperid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t1.authorname = "jitendra malik";</SQL_QUERY>
scholar
SELECT DISTINCT t2.datasetid FROM paper AS t3 JOIN paperdataset AS t2 ON t3.paperid = t2.paperid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t1.authorname = "jitendra malik";
what datasets did jitendra malik use in his papers ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>what datasets were used by jitendra malik ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t2.datasetid FROM paper AS t3 JOIN paperdataset AS t2 ON t3.paperid = t2.paperid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t1.authorname = "jitendra malik";</SQL_QUERY>
scholar
SELECT DISTINCT t2.datasetid FROM paper AS t3 JOIN paperdataset AS t2 ON t3.paperid = t2.paperid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t1.authorname = "jitendra malik";
what datasets were used by jitendra malik ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>datasets used in papers written by jitendra malik ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t2.datasetid FROM paper AS t3 JOIN paperdataset AS t2 ON t3.paperid = t2.paperid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t1.authorname = "jitendra malik";</SQL_QUERY>
scholar
SELECT DISTINCT t2.datasetid FROM paper AS t3 JOIN paperdataset AS t2 ON t3.paperid = t2.paperid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t1.authorname = "jitendra malik";
datasets used in papers written by jitendra malik ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>Datasets by jitendra malik</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t2.datasetid FROM paper AS t3 JOIN paperdataset AS t2 ON t3.paperid = t2.paperid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t1.authorname = "jitendra malik";</SQL_QUERY>
scholar
SELECT DISTINCT t2.datasetid FROM paper AS t3 JOIN paperdataset AS t2 ON t3.paperid = t2.paperid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t1.authorname = "jitendra malik";
Datasets by jitendra malik
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>What datasets have jitendra malik used</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t2.datasetid FROM paper AS t3 JOIN paperdataset AS t2 ON t3.paperid = t2.paperid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t1.authorname = "jitendra malik";</SQL_QUERY>
scholar
SELECT DISTINCT t2.datasetid FROM paper AS t3 JOIN paperdataset AS t2 ON t3.paperid = t2.paperid JOIN writes AS t4 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t1.authorname = "jitendra malik";
What datasets have jitendra malik used
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>recent deep learning papers</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t3.paperid , t3.year FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "deep learning" ORDER BY t3.year DESC;</SQL_QUERY>
scholar
SELECT DISTINCT t3.paperid , t3.year FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "deep learning" ORDER BY t3.year DESC;
recent deep learning papers
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>new deep learning papers</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t3.paperid , t3.year FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "deep learning" ORDER BY t3.year DESC;</SQL_QUERY>
scholar
SELECT DISTINCT t3.paperid , t3.year FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "deep learning" ORDER BY t3.year DESC;
new deep learning papers
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>What are the latest publications on deep learning ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t3.paperid , t3.year FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "deep learning" ORDER BY t3.year DESC;</SQL_QUERY>
scholar
SELECT DISTINCT t3.paperid , t3.year FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "deep learning" ORDER BY t3.year DESC;
What are the latest publications on deep learning ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>Most recent deep learning conference ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t3.paperid , t3.year FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "deep learning" ORDER BY t3.year DESC;</SQL_QUERY>
scholar
SELECT DISTINCT t3.paperid , t3.year FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "deep learning" ORDER BY t3.year DESC;
Most recent deep learning conference ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>Show me some recent papers on deep learning ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t3.paperid , t3.year FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "deep learning" ORDER BY t3.year DESC;</SQL_QUERY>
scholar
SELECT DISTINCT t3.paperid , t3.year FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "deep learning" ORDER BY t3.year DESC;
Show me some recent papers on deep learning ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>What are some recent papers written in deep learning ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t3.paperid , t3.year FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "deep learning" ORDER BY t3.year DESC;</SQL_QUERY>
scholar
SELECT DISTINCT t3.paperid , t3.year FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "deep learning" ORDER BY t3.year DESC;
What are some recent papers written in deep learning ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>What is the most recent paper of deep learning ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t3.paperid , t3.year FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "deep learning" ORDER BY t3.year DESC;</SQL_QUERY>
scholar
SELECT DISTINCT t3.paperid , t3.year FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "deep learning" ORDER BY t3.year DESC;
What is the most recent paper of deep learning ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>What are recent papers on deep learning ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t3.paperid , t3.year FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "deep learning" ORDER BY t3.year DESC;</SQL_QUERY>
scholar
SELECT DISTINCT t3.paperid , t3.year FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "deep learning" ORDER BY t3.year DESC;
What are recent papers on deep learning ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>Current research on deep learning</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t3.paperid , t3.year FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "deep learning" ORDER BY t3.year DESC;</SQL_QUERY>
scholar
SELECT DISTINCT t3.paperid , t3.year FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "deep learning" ORDER BY t3.year DESC;
Current research on deep learning
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>latest deep learning papers</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t3.paperid , t3.year FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "deep learning" ORDER BY t3.year DESC;</SQL_QUERY>
scholar
SELECT DISTINCT t3.paperid , t3.year FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "deep learning" ORDER BY t3.year DESC;
latest deep learning papers
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>newest deep learning papers</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t3.paperid , t3.year FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "deep learning" ORDER BY t3.year DESC;</SQL_QUERY>
scholar
SELECT DISTINCT t3.paperid , t3.year FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid WHERE t1.keyphrasename = "deep learning" ORDER BY t3.year DESC;
newest deep learning papers
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>What years did Pedro Domingos publish papers in ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t3.year FROM writes AS t2 JOIN author AS t1 ON t2.authorid = t1.authorid JOIN paper AS t3 ON t2.paperid = t3.paperid WHERE t1.authorname = "Pedro Domingos" GROUP BY t3.year;</SQL_QUERY>
scholar
SELECT DISTINCT t3.year FROM writes AS t2 JOIN author AS t1 ON t2.authorid = t1.authorid JOIN paper AS t3 ON t2.paperid = t3.paperid WHERE t1.authorname = "Pedro Domingos" GROUP BY t3.year;
What years did Pedro Domingos publish papers in ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite. <schema>[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);</schema>" <primary_keys>[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid</primary_keys>" <foreign_keys>[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid</foreign_keys>" Answer the following question with a SQL Statement:<question>In what years did Pedro Domingos publish a paper ?</question> [SQL]:
<SQL_QUERY>SELECT DISTINCT t3.year FROM writes AS t2 JOIN author AS t1 ON t2.authorid = t1.authorid JOIN paper AS t3 ON t2.paperid = t3.paperid WHERE t1.authorname = "Pedro Domingos" GROUP BY t3.year;</SQL_QUERY>
scholar
SELECT DISTINCT t3.year FROM writes AS t2 JOIN author AS t1 ON t2.authorid = t1.authorid JOIN paper AS t3 ON t2.paperid = t3.paperid WHERE t1.authorname = "Pedro Domingos" GROUP BY t3.year;
In what years did Pedro Domingos publish a paper ?
[Schema (values) (types)]: | scholar | venue : venueid (text) , venuename (number) | author : authorid (text) , authorname (number) | dataset : datasetid (text) , datasetname (number) | journal : journalid (text) , journalname (number) | keyphrase : keyphraseid (text) , keyphrasename (number) | paper : paperid (text) , title (number) , venueid (text) , year (number) , numciting (text) , numcitedby (number) , journalid (text) | cite : citingpaperid (text) , citedpaperid (number) | paperDataset : paperid (text) , datasetid (number) | paperKeyphrase : paperid (text) , keyphraseid (number) | writes : paperid (text) , authorid (number);
[Primary Keys]: venue : venueid, author : authorid, dataset : datasetid, journal : journalid, keyphrase : keyphraseid, paper : paperid, cite : citingpaperid, paperdataset : datasetid, paperkeyphrase : keyphraseid, writes : paperid
[Foreign Keys]: paper : venueid = venue : venueid | paper : journalid = journal : journalid | cite : citingpaperid = paper : paperid | cite : citedpaperid = paper : paperid | paperkeyphrase : keyphraseid = keyphrase : keyphraseid | paperkeyphrase : paperid = paper : paperid | writes : authorid = author : authorid | writes : paperid = paper : paperid