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Spider-SQL-LLAMA2_train

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scholar

SELECT DISTINCT COUNT ( t4.citedpaperid ) , t3.year FROM paper AS t3 JOIN cite AS t4 ON t3.paperid = t4.citedpaperid JOIN writes AS t2 ON t2.paperid = t3.paperid JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname = "luke zettlemoyer" GROUP BY t3.year;

How many citations does luke zettlemoyer have per 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

scholar

SELECT DISTINCT t2.paperid FROM paperdataset AS t3 JOIN dataset AS t1 ON t3.datasetid = t1.datasetid JOIN paper AS t4 ON t4.paperid = t3.paperid JOIN writes AS t2 ON t2.paperid = t4.paperid WHERE t1.datasetname = "ImageNet" GROUP BY t2.paperid;

authors working 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

scholar

SELECT DISTINCT paperid , title FROM paper WHERE title LIKE "the effects of juicing for cancer patients" AND YEAR > 2006;

What articles have been published since 2006 about the effects of juicing for cancer patients ?

[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

scholar

SELECT DISTINCT t2.paperid FROM paperkeyphrase AS t5 JOIN keyphrase AS t3 ON t5.keyphraseid = t3.keyphraseid JOIN writes AS t4 ON t4.paperid = t5.paperid JOIN paper AS t2 ON t4.paperid = t2.paperid JOIN author AS t1 ON t4.authorid = t1.authorid JOIN venue AS t6 ON t6.venueid = t2.venueid WHERE t1.authorname = "Eric C. Kerrigan" AND t3.keyphrasename = "Liquid" AND t6.venuename = "Automatica";

Eric C. Kerrigan 's Liquid Automatica 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

scholar

SELECT DISTINCT t3.venueid , 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 = "sergey levine" GROUP BY t3.venueid , t3.year ORDER BY t3.year DESC;

Where did sergey levine publish his last 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

scholar

SELECT DISTINCT t2.keyphraseid FROM paper AS t3 JOIN paperkeyphrase AS t2 ON t3.paperid = t2.paperid JOIN venue AS t4 ON t4.venueid = t3.venueid JOIN writes AS t5 ON t5.paperid = t3.paperid JOIN author AS t1 ON t5.authorid = t1.authorid WHERE t1.authorname = "dan klein" AND t4.venuename = "emnlp";

keyphrases used by dan klein in his emnlp 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

scholar

SELECT DISTINCT COUNT ( t4.paperid ) , t3.authorid FROM paperkeyphrase AS t1 JOIN keyphrase AS t2 ON t1.keyphraseid = t2.keyphraseid JOIN paper AS t4 ON t4.paperid = t1.paperid JOIN writes AS t3 ON t3.paperid = t4.paperid WHERE t2.keyphrasename = "Neutralizing Antibody" AND t4.year = 2012 GROUP BY t3.authorid ORDER BY COUNT ( t4.paperid ) DESC;

Who are the prominent researchers in Neutralizing Antibody in 2012 ?

[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

scholar

SELECT 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 JOIN venue AS t4 ON t4.venueid = t3.venueid WHERE t1.datasetname = "ImageNet" AND t3.year = 2014 AND t4.venuename = "eccv";

the papers at eccv in 2014 using 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

scholar

SELECT 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 JOIN venue AS t4 ON t4.venueid = t3.venueid WHERE t1.datasetname = "ImageNet" AND t3.year = 2014 AND t4.venuename = "eccv";

which papers in eccv 2014 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

scholar

SELECT 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 JOIN venue AS t4 ON t4.venueid = t3.venueid WHERE t1.datasetname = "ImageNet" AND t3.year = 2014 AND t4.venuename = "eccv";

eccv 2014 papers using 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

scholar

SELECT DISTINCT t5.citingpaperid FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN cite AS t5 ON t2.paperid = t5.citingpaperid JOIN paper AS t3 ON t3.paperid = t5.citedpaperid JOIN venue AS t4 ON t4.venueid = t3.venueid WHERE t1.keyphrasename = "Euclidean Distance" AND t4.venuename = "NIPS";

Euclidean Distance papers citing 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

scholar

SELECT DISTINCT COUNT ( t4.paperid ) , t3.paperid FROM paperdataset AS t2 JOIN dataset AS t1 ON t2.datasetid = t1.datasetid JOIN paper AS t4 ON t4.paperid = t2.paperid JOIN writes AS t3 ON t3.paperid = t4.paperid WHERE t1.datasetname = "ImageNet" GROUP BY t3.paperid ORDER BY COUNT ( t4.paperid ) DESC;

top authors working 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

scholar

SELECT DISTINCT ( t1.paperid ) , COUNT ( t3.citingpaperid ) 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 = 2012 AND t2.venuename = "ACL" GROUP BY t1.paperid HAVING COUNT ( t3.citingpaperid ) > 7;

how many ACL 2012 papers have more than 7 citations ?

[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

scholar

SELECT DISTINCT COUNT ( DISTINCT t4.citingpaperid ) , t1.keyphraseid , t2.paperid FROM paper AS t2 JOIN cite AS t4 ON t2.paperid = t4.citedpaperid JOIN paperkeyphrase AS t1 ON t2.paperid = t1.paperid JOIN venue AS t3 ON t3.venueid = t2.venueid WHERE t2.year = 2012 AND t3.venuename = "EMNLP-CoNLL" GROUP BY t2.paperid , t1.keyphraseid ORDER BY COUNT ( DISTINCT t4.citingpaperid ) DESC;

What was the topic of best paper in 2012 EMNLP-CoNLL ?

[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

scholar

SELECT DISTINCT COUNT ( DISTINCT t2.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 != "Noah Smith" AND t3.year > 2009 AND t2.paperid IN ( SELECT t2.paperid FROM writes AS t2 JOIN author AS t1 ON t2.authorid = t1.authorid WHERE t1.authorname LIKE "Noah Smith" );

How many papers has Noah Smith co-authored since 2009 ?

[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

scholar

SELECT DISTINCT COUNT ( t3.citingpaperid ) FROM paper AS t1 JOIN cite AS t3 ON t1.paperid = t3.citedpaperid JOIN venue AS t2 ON t2.venueid = t1.venueid WHERE t2.venuename = "ACL" GROUP BY t3.citingpaperid HAVING COUNT ( DISTINCT t3.citedpaperid ) > 2;

Number of ACL papers with more than 2 citations

[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

scholar

SELECT DISTINCT t2.title FROM paperkeyphrase AS t5 JOIN keyphrase AS t3 ON t5.keyphraseid = t3.keyphraseid JOIN writes AS t4 ON t4.paperid = t5.paperid JOIN paper AS t2 ON t4.paperid = t2.paperid JOIN author AS t1 ON t4.authorid = t1.authorid JOIN venue AS t6 ON t6.venueid = t2.venueid WHERE t1.authorname LIKE "Eric C. Kerrigan" AND t3.keyphrasename = "Liquid" AND t6.venuename = "Automatica";

What is the name of Eric C. Kerrigan 's Liquid Automatica 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

scholar

SELECT DISTINCT COUNT ( t3.paperid ) 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 t1.datasetname = "ImageNet" AND t4.venuename = "cvpr";

How many papers used ImageNet datasets in cvpr ?

[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

scholar

SELECT DISTINCT venueid FROM venue WHERE venuename = "Neuroscience";

What venues are for Neuroscience ?

[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

scholar

SELECT DISTINCT MAX ( 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 = "Mary Crainie";

When was the last time Mary Crainie published 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

scholar

SELECT DISTINCT t1.authorid FROM paperkeyphrase AS t6 JOIN keyphrase AS t3 ON t6.keyphraseid = t3.keyphraseid JOIN writes AS t4 ON t4.paperid = t6.paperid JOIN writes AS t5 ON t5.paperid = t4.paperid JOIN author AS t1 ON t5.authorid = t1.authorid JOIN author AS t2 ON t4.authorid = t2.authorid WHERE t2.authorname = "Philipp Koehn" AND t3.keyphrasename = "Machine Translation Output";

I want the co-authors of papers on Machine Translation Output with Philipp Koehn

[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

scholar

SELECT DISTINCT COUNT ( DISTINCT t3.paperid ) 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 = "Samuel Madden" AND t4.venuename != "PVLDB";

How many papers does Samuel Madden publish outside of PVLDB area ?

[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

scholar

SELECT DISTINCT t3.journalid , 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 = "Donald E Knuth" GROUP BY t3.journalid , t3.year ORDER BY t3.year DESC;

which journal did Donald E Knuth publish his last 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

scholar

SELECT DISTINCT venueid FROM paper WHERE title = "Fracture of acrylic bone cement";

What is the venue of Fracture of acrylic bone cement ?

[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

scholar

SELECT DISTINCT COUNT ( t2.paperid ) 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 = 2010 AND t3.venuename = "sigcse";

How many authors published at sigcse in 2010 ?

[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

scholar

SELECT DISTINCT title , YEAR FROM paper WHERE title = "A Switching Architecture For ISDN";

What is the year of publication of " A Switching Architecture For ISDN " ?

[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

scholar

SELECT DISTINCT t1.keyphraseid FROM paperkeyphrase AS t2 JOIN keyphrase AS t1 ON t2.keyphraseid = t1.keyphraseid JOIN paper AS t3 ON t3.paperid = t2.paperid JOIN venue AS t4 ON t4.venueid = t3.venueid WHERE t4.venuename = "uist";

what keywords are used by papers at uist

[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

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 = "Su-In Lee" AND t3.year < 2012;

Give me the papers written by Su-In Lee before 2012 .

[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

scholar

SELECT DISTINCT COUNT ( 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 = "semantic parsing" GROUP BY t3.year ORDER BY t3.year DESC;

papers in semantic parsing for each 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

scholar

SELECT DISTINCT t2.citingpaperid FROM paper AS t1 JOIN cite AS t2 ON t1.paperid = t2.citedpaperid GROUP BY t2.citingpaperid HAVING COUNT ( DISTINCT t2.citedpaperid ) >= 5;

papers with at least 5 citations

[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

scholar

SELECT DISTINCT t2.citingpaperid FROM paper AS t1 JOIN cite AS t2 ON t1.paperid = t2.citedpaperid GROUP BY t2.citingpaperid HAVING COUNT ( DISTINCT t2.citedpaperid ) >= 5;

papers cited by at least 5 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

scholar

SELECT DISTINCT t3.citedpaperid , COUNT ( t3.citingpaperid ) FROM paper AS t1 JOIN cite AS t3 ON t1.paperid = t3.citedpaperid JOIN venue AS t2 ON t2.venueid = t1.venueid WHERE t2.venuename = "sigcomm" GROUP BY t3.citedpaperid ORDER BY COUNT ( t3.citingpaperid ) DESC;

What is the most cited paper at sigcomm ?

[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

scholar

SELECT DISTINCT t3.title FROM paperkeyphrase AS t2 JOIN keyphrase AS t5 ON t2.keyphraseid = t5.keyphraseid JOIN writes AS t4 ON t4.paperid = t2.paperid JOIN paper AS t3 ON t4.paperid = t3.paperid JOIN author AS t1 ON t4.authorid = t1.authorid WHERE t1.authorname LIKE "Ranjit Jhala" AND t5.keyphrasename = "Liquid Haskell";

What is the name of Ranjit Jhala 's Liquid Haskell 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

yelp

SELECT name FROM business WHERE rating > 4.5;

List all the businesses with more than 4.5 stars

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT name FROM business WHERE rating = 3.5;

List all businesses with rating 3.5

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT user_id FROM USER WHERE name = "Michelle";

List all user ids with name Michelle

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT state FROM business WHERE name = "Whataburger";

Find all states in which there is a Whataburger

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT t1.city FROM category AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id WHERE t1.name = "MGM Grand Buffet" AND t2.category_name = "category_category_name0";

Find all cities in which there is a restaurant called " MGM Grand Buffet "

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT city FROM business WHERE rating < 1.5;

Find the cities of businesses rated below 1.5

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT city FROM business WHERE name = "Taj Mahal";

Find all cities which has a " Taj Mahal " .

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT text FROM review WHERE rating < 1;

List all the reviews which rated a business less than 1

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT t1.name FROM category AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id WHERE t1.rating > 3.5 AND t2.category_name = "restaurant";

List all the restaurant rated more than 3.5

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT t1.city FROM category AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id WHERE t1.name = "Taj Mahal" AND t2.category_name = "restaurant";

find all cities which has a " Taj Mahal " restaurant

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT t1.text FROM USER AS t2 JOIN review AS t1 ON t2.user_id = t1.user_id WHERE t2.name = "Niloofar";

list all the reviews by Niloofar

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT t1.name FROM review AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id JOIN USER AS t3 ON t3.user_id = t2.user_id WHERE t3.name = "Niloofar";

list all the businesses which have a review by Niloofar

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT t1.name FROM review AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id JOIN USER AS t3 ON t3.user_id = t2.user_id WHERE t2.rating = 5 AND t3.name = "Niloofar";

list all the businesses which Niloofar rated 5

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT t4.text FROM category AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id JOIN category AS t3 ON t3.business_id = t1.business_id JOIN review AS t4 ON t4.business_id = t1.business_id JOIN USER AS t5 ON t5.user_id = t4.user_id WHERE t2.category_name = "Italian" AND t3.category_name = "category_category_name1" AND t5.name = "Michelle";

List all the reviews by Michelle for Italian restaurant

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT COUNT ( DISTINCT t3.text ) FROM category AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id JOIN review AS t3 ON t3.business_id = t1.business_id WHERE t1.name = "Cafe Zinho" AND t1.state = "Texas" AND t2.category_name = "restaurant";

find the number of reviews written for " Cafe Zinho " restaurant in Texas

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT t1.name FROM category AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id JOIN category AS t3 ON t3.business_id = t1.business_id WHERE t1.rating = 5 AND t2.category_name = "Italian" AND t3.category_name = "restaurant";

List all 5 star Italian restaurant

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT t1.neighbourhood_name FROM category AS t3 JOIN business AS t2 ON t3.business_id = t2.business_id JOIN category AS t4 ON t4.business_id = t2.business_id JOIN neighbourhood AS t1 ON t1.business_id = t2.business_id WHERE t2.city = "Madison" AND t3.category_name = "Italian" AND t4.category_name = "restaurant";

List all the neighbourhoods with Italian restaurant in Madison

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT t1.neighbourhood_name FROM category AS t3 JOIN business AS t2 ON t3.business_id = t2.business_id JOIN category AS t4 ON t4.business_id = t2.business_id JOIN neighbourhood AS t1 ON t1.business_id = t2.business_id WHERE t2.city = "Madison" AND t2.rating < 2.5 AND t3.category_name = "Italian" AND t4.category_name = "restaurant";

List all the neighbourhoods with Italian restaurant rated less than 2.5 in Madison

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT t1.name FROM category AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id WHERE t1.state = "Pennsylvania" AND t2.category_name = "restaurant";

find all the restaurant in Pennsylvania

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT t1.name FROM category AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id WHERE t1.state = "Pennsylvania" AND t2.category_name = "restaurant";

List all businesses that are restaurant in Pennsylvania .

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT t3.text FROM category AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id JOIN review AS t3 ON t3.business_id = t1.business_id WHERE t1.review_count > 100 AND t2.category_name = "Pet Groomers";

Find all the reviews for all Pet Groomers with more than 100 reviews

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT t1.name FROM category AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id WHERE t1.city = "Los Angeles" AND t2.category_name = "breweries";

What are all the breweries in " Los Angeles " ?

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT t1.name FROM category AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id WHERE t1.city = "Los Angeles" AND t2.category_name = "breweries";

Find all breweries in Los Angeles

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT t1.name FROM category AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id WHERE t1.city = "Los Angeles" AND t2.category_name = "breweries";

Find all breweries in " Los Angeles "

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT t4.name FROM category AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id JOIN review AS t3 ON t3.business_id = t1.business_id JOIN USER AS t4 ON t4.user_id = t3.user_id WHERE t1.name = "Mesa Grill" AND t2.category_name = "restaurant";

Find all users who reviewed restaurant " Mesa Grill "

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT full_address FROM business WHERE city = "Los Angeles" AND name = "Walmart";

List the addresses of all Walmart in " Los Angeles "

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT t1.name FROM category AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id JOIN review AS t3 ON t3.business_id = t1.business_id JOIN USER AS t4 ON t4.user_id = t3.user_id WHERE t1.city = "Dallas" AND t2.category_name = "restaurant" AND t4.name = "Patrick";

Find all restaurant reviewed by Patrick in " Dallas "

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT t1.name FROM category AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id JOIN review AS t3 ON t3.business_id = t1.business_id JOIN USER AS t4 ON t4.user_id = t3.user_id WHERE t1.city = "Dallas" AND t2.category_name = "restaurant" AND t4.name = "Patrick";

Which restaurant in Dallas were reviewed by user Patrick ?

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT t1.name FROM category AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id JOIN review AS t3 ON t3.business_id = t1.business_id JOIN USER AS t4 ON t4.user_id = t3.user_id WHERE t2.category_name = "Bars" AND t4.name = "Patrick";

Find all Bars reviewed by Patrick

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT t1.name FROM category AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id JOIN review AS t3 ON t3.business_id = t1.business_id JOIN USER AS t4 ON t4.user_id = t3.user_id WHERE t1.rating >= 3 AND t2.category_name = "Bars" AND t4.name = "Patrick";

Find all Bars reviewed by Patrick with at least 3 stars

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT t3.name FROM tip AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id JOIN USER AS t3 ON t3.user_id = t2.user_id WHERE t1.name = "Barrio Cafe" AND t2.year = 2015;

Find all users who have written tips for " Barrio Cafe " in 2015

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT name FROM business WHERE rating < 2 AND state = "Texas";

Find all businesses in Texas with a rating below 2

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT t1.name FROM category AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id JOIN category AS t3 ON t3.business_id = t1.business_id WHERE t1.city = "Los Angeles" AND t2.category_name = "Seafood" AND t3.category_name = "restaurant";

Find all restaurant Seafood in Los Angeles

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT t1.name FROM category AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id JOIN category AS t3 ON t3.business_id = t1.business_id WHERE t1.city = "Los Angeles" AND t2.category_name = "Seafood" AND t3.category_name = "restaurant";

List all the Seafood restaurant in " Los Angeles "

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT t1.name FROM category AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id JOIN category AS t3 ON t3.business_id = t1.business_id WHERE t1.city = "Los Angeles" AND t2.category_name = "Seafood" AND t3.category_name = "restaurant";

Find all restaurant that serve Seafood in " Los Angeles "

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT t1.text FROM USER AS t2 JOIN review AS t1 ON t2.user_id = t1.user_id WHERE t1.rating > 4 AND t2.name = "Patrick";

Find all reviews by Patrick with a rating above 4

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT business_id FROM business WHERE city = "Los Angeles" AND name = "Apple Store";

Find all Apple Store in " Los Angeles "

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT t1.name FROM category AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id WHERE t1.city = "Dallas" AND t1.rating > 4.5 AND t2.category_name = "restaurant";

Find all Dallas restaurant with a rating above 4.5

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT t1.neighbourhood_name FROM category AS t3 JOIN business AS t2 ON t3.business_id = t2.business_id JOIN neighbourhood AS t1 ON t1.business_id = t2.business_id WHERE t2.name = "Flat Top Grill" AND t3.category_name = "category_category_name0";

What neighbourhood is restaurant " Flat Top Grill " in ?

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT t2.text FROM tip AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id WHERE t1.name = "Vintner Grill" AND t2.likes > 9;

Find all tips about " Vintner Grill " that received more than 9 likes

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT t2.text FROM review AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id WHERE t1.name = "Kabob Palace" AND t2.year = 2014;

Find all reviews about " Kabob Palace " in year 2014

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT t3.name FROM tip AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id JOIN USER AS t3 ON t3.user_id = t2.user_id WHERE t1.city = "Dallas";

Find all users who have written tips about businesses in Dallas

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT t1.city FROM category AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id WHERE t1.name = "MGM Grand Buffet" AND t1.state = "Texas" AND t2.category_name = "restaurant";

Find all cities in Texas in which there is a restaurant called " MGM Grand Buffet "

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT t4.name FROM category AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id JOIN tip AS t3 ON t3.business_id = t1.business_id JOIN USER AS t4 ON t4.user_id = t3.user_id WHERE t2.category_name = "Pet Groomers";

Find the users who have given tips on Pet Groomers

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT t2.text FROM tip AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id WHERE t1.name = "Cafe Zinho" AND t1.state = "Texas";

Find all tips for " Cafe Zinho " in Texas .

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT t4.name FROM category AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id JOIN review AS t3 ON t3.business_id = t1.business_id JOIN USER AS t4 ON t4.user_id = t3.user_id WHERE t2.category_name = "restaurant";

List all users who reviewed businesses that are restaurant .

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT t2.text FROM tip AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id WHERE t1.name = "Cafe Zinho" AND t1.state = "Pennsylvania" AND t2.year = 2010;

List all tips for " Cafe Zinho " in Pennsylvania in 2010 .

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT t4.name FROM category AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id JOIN review AS t3 ON t3.business_id = t1.business_id JOIN USER AS t4 ON t4.user_id = t3.user_id WHERE t2.category_name = "restaurant" AND t3.year = 2010;

List all users who reviewed businesses that are restaurant in 2010 .

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT t2.text FROM USER AS t3 JOIN review AS t1 ON t3.user_id = t1.user_id JOIN tip AS t2 ON t3.user_id = t2.user_id WHERE t1.year = 2012;

Find all the tips from a user who has written a review in 2012

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT t2.text FROM review AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id WHERE t1.rating = 2.5;

Find all reviews for businesses rated 2.5

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT COUNT ( DISTINCT t1.name ) FROM category AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id WHERE t1.city = "Madison" AND t2.category_name = "escape games";

find the number of escape games in Madison

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT COUNT ( DISTINCT t1.name ) FROM category AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id WHERE t1.city = "Madison" AND t2.category_name = "escape games";

What is the number of escape games in Madison

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT COUNT ( DISTINCT t1.name ) FROM category AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id WHERE t1.city = "Madison" AND t2.category_name = "escape games";

How many escape games exist in Madison

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT COUNT ( DISTINCT t1.name ) FROM category AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id WHERE t1.city = "Madison" AND t2.category_name = "escape games";

What is the number of escape games in " Madison " ?

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT COUNT ( DISTINCT t1.name ) FROM category AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id WHERE t1.city = "Madison" AND t2.category_name = "escape games";

How many escape games are there in Madison ?

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT COUNT ( DISTINCT t1.name ) FROM category AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id WHERE t1.rating > 3.5 AND t2.category_name = "restaurant";

find the number of restaurant rated more than 3.5

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT SUM ( t4.count ) FROM category AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id JOIN category AS t3 ON t3.business_id = t1.business_id JOIN checkin AS t4 ON t4.business_id = t1.business_id WHERE t1.city = "Los Angeles" AND t2.category_name = "restaurant" AND t3.category_name = "Moroccan";

find the total checkins in Moroccan restaurant in " Los Angeles "

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT SUM ( t4.count ) FROM category AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id JOIN category AS t3 ON t3.business_id = t1.business_id JOIN checkin AS t4 ON t4.business_id = t1.business_id WHERE t1.city = "Los Angeles" AND t2.category_name = "Moroccan" AND t3.category_name = "restaurant" AND t4.day = "Friday";

find the total checkins in Moroccan restaurant in " Los Angeles " on Friday

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT t4.day , SUM ( t4.count ) FROM category AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id JOIN category AS t3 ON t3.business_id = t1.business_id JOIN checkin AS t4 ON t4.business_id = t1.business_id WHERE t1.city = "Los Angeles" AND t2.category_name = "Moroccan" AND t3.category_name = "restaurant" GROUP BY t4.day;

find the total checkins in Moroccan restaurant in " Los Angeles " per day

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT t1.state , SUM ( t4.count ) FROM category AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id JOIN category AS t3 ON t3.business_id = t1.business_id JOIN checkin AS t4 ON t4.business_id = t1.business_id WHERE t2.category_name = "Italian" AND t3.category_name = "Delis" AND t4.day = "Sunday" GROUP BY t1.state;

find the total checkins in Italian Delis in each state on Sunday

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT COUNT ( DISTINCT t1.text ) FROM USER AS t2 JOIN review AS t1 ON t2.user_id = t1.user_id WHERE t1.year = 2015 AND t2.name = "Niloofar";

How many reviews has Niloofar written in 2015

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT AVG ( t1.rating ) FROM USER AS t2 JOIN review AS t1 ON t2.user_id = t1.user_id WHERE t2.name = "Michelle";

what is the average rating given in Michelle reviews

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT t2.count FROM checkin AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id WHERE t1.name = "Cafe Zinho" AND t2.day = "Friday";

What is the number of checkins for " Cafe Zinho " on Friday

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT COUNT ( DISTINCT t3.name ) FROM review AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id JOIN USER AS t3 ON t3.user_id = t2.user_id WHERE t1.city = "Pittsburgh" AND t1.name = "Sushi Too";

how many users reviewed " Sushi Too " in Pittsburgh

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT COUNT ( DISTINCT t1.name ) FROM category AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id WHERE t1.city = "Pittsburgh" AND t1.rating = 4.5 AND t2.category_name = "restaurant";

What is the number of restaurant in Pittsburgh rated 4.5

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT COUNT ( DISTINCT text ) FROM tip WHERE YEAR = 2015;

How many tips have been written in 2015

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id

yelp

SELECT SUM ( t1.likes ) FROM USER AS t2 JOIN tip AS t1 ON t2.user_id = t1.user_id WHERE t2.name = "Niloofar";

What is the total likes on tips from Niloofar

[Schema (values) (types)]: | yelp | business : bid (text) , business_id (number) , name (text) , full_address (text) , city (text) , latitude (text) , longitude (text) , review_count (text) , is_open (number) , rating (number) , state (number) | category : id (text) , business_id (number) , category_name (text) | user : uid (text) , user_id (number) , name (text) | checkin : cid (text) , business_id (number) , count (text) , day (text) | neighbourhood : id (text) , business_id (number) , neighbourhood_name (text) | review : rid (text) , business_id (number) , user_id (text) , rating (text) , text (text) , year (text) , month (text) | tip : tip_id (text) , business_id (number) , text (text) , user_id (text) , likes (text) , year (text) , month (text);

[Primary Keys]: business : bid, category : id, user : uid, checkin : cid, neighbourhood : id, review : rid, tip : tip_id

[Foreign Keys]: category : business_id = business : business_id | checkin : business_id = business : business_id | neighbourhood : business_id = business : business_id | review : user_id = user : user_id | review : business_id = business : business_id | tip : user_id = user : user_id | tip : business_id = business : business_id