db_id stringclasses 146
values | schema stringclasses 146
values | question stringlengths 3 224 | sql stringlengths 18 577 |
|---|---|---|---|
scholar | 【DB_ID】 scholar
【Schema】
# Table: main.author
[
(authorId:INTEGER, Primary Key),
(authorName:VARCHAR)
]
# Table: main.cite
[
(citingPaperId:INTEGER, Primary Key),
(citedPaperId:INTEGER, Primary Key)
]
# Table: main.dataset
[
(datasetId:INTEGER, Primary Key),
(datasetName:VARCHAR)
]
# Table: main.journal
[
(journalId:IN... | How many citations does luke zettlemoyer have per year | 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; |
scholar | 【DB_ID】 scholar
【Schema】
# Table: main.author
[
(authorId:INTEGER, Primary Key),
(authorName:VARCHAR)
]
# Table: main.cite
[
(citingPaperId:INTEGER, Primary Key),
(citedPaperId:INTEGER, Primary Key)
]
# Table: main.dataset
[
(datasetId:INTEGER, Primary Key),
(datasetName:VARCHAR)
]
# Table: main.journal
[
(journalId:IN... | authors working on ImageNet | 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; |
scholar | 【DB_ID】 scholar
【Schema】
# Table: main.author
[
(authorId:INTEGER, Primary Key),
(authorName:VARCHAR)
]
# Table: main.cite
[
(citingPaperId:INTEGER, Primary Key),
(citedPaperId:INTEGER, Primary Key)
]
# Table: main.dataset
[
(datasetId:INTEGER, Primary Key),
(datasetName:VARCHAR)
]
# Table: main.journal
[
(journalId:IN... | What articles have been published since 2006 about the effects of juicing for cancer patients ? | SELECT DISTINCT paperid , title FROM paper WHERE title LIKE "the effects of juicing for cancer patients" AND YEAR > 2006; |
scholar | 【DB_ID】 scholar
【Schema】
# Table: main.author
[
(authorId:INTEGER, Primary Key),
(authorName:VARCHAR)
]
# Table: main.cite
[
(citingPaperId:INTEGER, Primary Key),
(citedPaperId:INTEGER, Primary Key)
]
# Table: main.dataset
[
(datasetId:INTEGER, Primary Key),
(datasetName:VARCHAR)
]
# Table: main.journal
[
(journalId:IN... | Eric C. Kerrigan 's Liquid Automatica paper | 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 ... |
scholar | 【DB_ID】 scholar
【Schema】
# Table: main.author
[
(authorId:INTEGER, Primary Key),
(authorName:VARCHAR)
]
# Table: main.cite
[
(citingPaperId:INTEGER, Primary Key),
(citedPaperId:INTEGER, Primary Key)
]
# Table: main.dataset
[
(datasetId:INTEGER, Primary Key),
(datasetName:VARCHAR)
]
# Table: main.journal
[
(journalId:IN... | Where did sergey levine publish his last paper ? | 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; |
scholar | 【DB_ID】 scholar
【Schema】
# Table: main.author
[
(authorId:INTEGER, Primary Key),
(authorName:VARCHAR)
]
# Table: main.cite
[
(citingPaperId:INTEGER, Primary Key),
(citedPaperId:INTEGER, Primary Key)
]
# Table: main.dataset
[
(datasetId:INTEGER, Primary Key),
(datasetName:VARCHAR)
]
# Table: main.journal
[
(journalId:IN... | keyphrases used by dan klein in his emnlp papers | 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"; |
scholar | 【DB_ID】 scholar
【Schema】
# Table: main.author
[
(authorId:INTEGER, Primary Key),
(authorName:VARCHAR)
]
# Table: main.cite
[
(citingPaperId:INTEGER, Primary Key),
(citedPaperId:INTEGER, Primary Key)
]
# Table: main.dataset
[
(datasetId:INTEGER, Primary Key),
(datasetName:VARCHAR)
]
# Table: main.journal
[
(journalId:IN... | Who are the prominent researchers in Neutralizing Antibody in 2012 ? | 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.author... |
scholar | 【DB_ID】 scholar
【Schema】
# Table: main.author
[
(authorId:INTEGER, Primary Key),
(authorName:VARCHAR)
]
# Table: main.cite
[
(citingPaperId:INTEGER, Primary Key),
(citedPaperId:INTEGER, Primary Key)
]
# Table: main.dataset
[
(datasetId:INTEGER, Primary Key),
(datasetName:VARCHAR)
]
# Table: main.journal
[
(journalId:IN... | the papers at eccv in 2014 using ImageNet dataset | 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"; |
scholar | 【DB_ID】 scholar
【Schema】
# Table: main.author
[
(authorId:INTEGER, Primary Key),
(authorName:VARCHAR)
]
# Table: main.cite
[
(citingPaperId:INTEGER, Primary Key),
(citedPaperId:INTEGER, Primary Key)
]
# Table: main.dataset
[
(datasetId:INTEGER, Primary Key),
(datasetName:VARCHAR)
]
# Table: main.journal
[
(journalId:IN... | which papers in eccv 2014 use ImageNet ? | 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"; |
scholar | 【DB_ID】 scholar
【Schema】
# Table: main.author
[
(authorId:INTEGER, Primary Key),
(authorName:VARCHAR)
]
# Table: main.cite
[
(citingPaperId:INTEGER, Primary Key),
(citedPaperId:INTEGER, Primary Key)
]
# Table: main.dataset
[
(datasetId:INTEGER, Primary Key),
(datasetName:VARCHAR)
]
# Table: main.journal
[
(journalId:IN... | eccv 2014 papers using ImageNet | 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"; |
scholar | 【DB_ID】 scholar
【Schema】
# Table: main.author
[
(authorId:INTEGER, Primary Key),
(authorName:VARCHAR)
]
# Table: main.cite
[
(citingPaperId:INTEGER, Primary Key),
(citedPaperId:INTEGER, Primary Key)
]
# Table: main.dataset
[
(datasetId:INTEGER, Primary Key),
(datasetName:VARCHAR)
]
# Table: main.journal
[
(journalId:IN... | Euclidean Distance papers citing NIPS papers | 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.... |
scholar | 【DB_ID】 scholar
【Schema】
# Table: main.author
[
(authorId:INTEGER, Primary Key),
(authorName:VARCHAR)
]
# Table: main.cite
[
(citingPaperId:INTEGER, Primary Key),
(citedPaperId:INTEGER, Primary Key)
]
# Table: main.dataset
[
(datasetId:INTEGER, Primary Key),
(datasetName:VARCHAR)
]
# Table: main.journal
[
(journalId:IN... | top authors working on ImageNet ? | 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; |
scholar | 【DB_ID】 scholar
【Schema】
# Table: main.author
[
(authorId:INTEGER, Primary Key),
(authorName:VARCHAR)
]
# Table: main.cite
[
(citingPaperId:INTEGER, Primary Key),
(citedPaperId:INTEGER, Primary Key)
]
# Table: main.dataset
[
(datasetId:INTEGER, Primary Key),
(datasetName:VARCHAR)
]
# Table: main.journal
[
(journalId:IN... | how many ACL 2012 papers have more than 7 citations ? | 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; |
scholar | 【DB_ID】 scholar
【Schema】
# Table: main.author
[
(authorId:INTEGER, Primary Key),
(authorName:VARCHAR)
]
# Table: main.cite
[
(citingPaperId:INTEGER, Primary Key),
(citedPaperId:INTEGER, Primary Key)
]
# Table: main.dataset
[
(datasetId:INTEGER, Primary Key),
(datasetName:VARCHAR)
]
# Table: main.journal
[
(journalId:IN... | What was the topic of best paper in 2012 EMNLP-CoNLL ? | 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... |
scholar | 【DB_ID】 scholar
【Schema】
# Table: main.author
[
(authorId:INTEGER, Primary Key),
(authorName:VARCHAR)
]
# Table: main.cite
[
(citingPaperId:INTEGER, Primary Key),
(citedPaperId:INTEGER, Primary Key)
]
# Table: main.dataset
[
(datasetId:INTEGER, Primary Key),
(datasetName:VARCHAR)
]
# Table: main.journal
[
(journalId:IN... | How many papers has Noah Smith co-authored since 2009 ? | 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... |
scholar | 【DB_ID】 scholar
【Schema】
# Table: main.author
[
(authorId:INTEGER, Primary Key),
(authorName:VARCHAR)
]
# Table: main.cite
[
(citingPaperId:INTEGER, Primary Key),
(citedPaperId:INTEGER, Primary Key)
]
# Table: main.dataset
[
(datasetId:INTEGER, Primary Key),
(datasetName:VARCHAR)
]
# Table: main.journal
[
(journalId:IN... | Number of ACL papers with more than 2 citations | 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; |
scholar | 【DB_ID】 scholar
【Schema】
# Table: main.author
[
(authorId:INTEGER, Primary Key),
(authorName:VARCHAR)
]
# Table: main.cite
[
(citingPaperId:INTEGER, Primary Key),
(citedPaperId:INTEGER, Primary Key)
]
# Table: main.dataset
[
(datasetId:INTEGER, Primary Key),
(datasetName:VARCHAR)
]
# Table: main.journal
[
(journalId:IN... | What is the name of Eric C. Kerrigan 's Liquid Automatica paper ? | 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 LIK... |
scholar | 【DB_ID】 scholar
【Schema】
# Table: main.author
[
(authorId:INTEGER, Primary Key),
(authorName:VARCHAR)
]
# Table: main.cite
[
(citingPaperId:INTEGER, Primary Key),
(citedPaperId:INTEGER, Primary Key)
]
# Table: main.dataset
[
(datasetId:INTEGER, Primary Key),
(datasetName:VARCHAR)
]
# Table: main.journal
[
(journalId:IN... | How many papers used ImageNet datasets in cvpr ? | 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"; |
scholar | 【DB_ID】 scholar
【Schema】
# Table: main.author
[
(authorId:INTEGER, Primary Key),
(authorName:VARCHAR)
]
# Table: main.cite
[
(citingPaperId:INTEGER, Primary Key),
(citedPaperId:INTEGER, Primary Key)
]
# Table: main.dataset
[
(datasetId:INTEGER, Primary Key),
(datasetName:VARCHAR)
]
# Table: main.journal
[
(journalId:IN... | What venues are for Neuroscience ? | SELECT DISTINCT venueid FROM venue WHERE venuename = "Neuroscience"; |
scholar | 【DB_ID】 scholar
【Schema】
# Table: main.author
[
(authorId:INTEGER, Primary Key),
(authorName:VARCHAR)
]
# Table: main.cite
[
(citingPaperId:INTEGER, Primary Key),
(citedPaperId:INTEGER, Primary Key)
]
# Table: main.dataset
[
(datasetId:INTEGER, Primary Key),
(datasetName:VARCHAR)
]
# Table: main.journal
[
(journalId:IN... | When was the last time Mary Crainie published a paper ? | 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"; |
scholar | 【DB_ID】 scholar
【Schema】
# Table: main.author
[
(authorId:INTEGER, Primary Key),
(authorName:VARCHAR)
]
# Table: main.cite
[
(citingPaperId:INTEGER, Primary Key),
(citedPaperId:INTEGER, Primary Key)
]
# Table: main.dataset
[
(datasetId:INTEGER, Primary Key),
(datasetName:VARCHAR)
]
# Table: main.journal
[
(journalId:IN... | I want the co-authors of papers on Machine Translation Output with Philipp Koehn | 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.authorn... |
scholar | 【DB_ID】 scholar
【Schema】
# Table: main.author
[
(authorId:INTEGER, Primary Key),
(authorName:VARCHAR)
]
# Table: main.cite
[
(citingPaperId:INTEGER, Primary Key),
(citedPaperId:INTEGER, Primary Key)
]
# Table: main.dataset
[
(datasetId:INTEGER, Primary Key),
(datasetName:VARCHAR)
]
# Table: main.journal
[
(journalId:IN... | How many papers does Samuel Madden publish outside of PVLDB area ? | 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"; |
scholar | 【DB_ID】 scholar
【Schema】
# Table: main.author
[
(authorId:INTEGER, Primary Key),
(authorName:VARCHAR)
]
# Table: main.cite
[
(citingPaperId:INTEGER, Primary Key),
(citedPaperId:INTEGER, Primary Key)
]
# Table: main.dataset
[
(datasetId:INTEGER, Primary Key),
(datasetName:VARCHAR)
]
# Table: main.journal
[
(journalId:IN... | which journal did Donald E Knuth publish his last paper ? | 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; |
scholar | 【DB_ID】 scholar
【Schema】
# Table: main.author
[
(authorId:INTEGER, Primary Key),
(authorName:VARCHAR)
]
# Table: main.cite
[
(citingPaperId:INTEGER, Primary Key),
(citedPaperId:INTEGER, Primary Key)
]
# Table: main.dataset
[
(datasetId:INTEGER, Primary Key),
(datasetName:VARCHAR)
]
# Table: main.journal
[
(journalId:IN... | What is the venue of Fracture of acrylic bone cement ? | SELECT DISTINCT venueid FROM paper WHERE title = "Fracture of acrylic bone cement"; |
scholar | 【DB_ID】 scholar
【Schema】
# Table: main.author
[
(authorId:INTEGER, Primary Key),
(authorName:VARCHAR)
]
# Table: main.cite
[
(citingPaperId:INTEGER, Primary Key),
(citedPaperId:INTEGER, Primary Key)
]
# Table: main.dataset
[
(datasetId:INTEGER, Primary Key),
(datasetName:VARCHAR)
]
# Table: main.journal
[
(journalId:IN... | How many authors published at sigcse in 2010 ? | 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"; |
scholar | 【DB_ID】 scholar
【Schema】
# Table: main.author
[
(authorId:INTEGER, Primary Key),
(authorName:VARCHAR)
]
# Table: main.cite
[
(citingPaperId:INTEGER, Primary Key),
(citedPaperId:INTEGER, Primary Key)
]
# Table: main.dataset
[
(datasetId:INTEGER, Primary Key),
(datasetName:VARCHAR)
]
# Table: main.journal
[
(journalId:IN... | What is the year of publication of " A Switching Architecture For ISDN " ? | SELECT DISTINCT title , YEAR FROM paper WHERE title = "A Switching Architecture For ISDN"; |
scholar | 【DB_ID】 scholar
【Schema】
# Table: main.author
[
(authorId:INTEGER, Primary Key),
(authorName:VARCHAR)
]
# Table: main.cite
[
(citingPaperId:INTEGER, Primary Key),
(citedPaperId:INTEGER, Primary Key)
]
# Table: main.dataset
[
(datasetId:INTEGER, Primary Key),
(datasetName:VARCHAR)
]
# Table: main.journal
[
(journalId:IN... | what keywords are used by papers at uist | 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"; |
scholar | 【DB_ID】 scholar
【Schema】
# Table: main.author
[
(authorId:INTEGER, Primary Key),
(authorName:VARCHAR)
]
# Table: main.cite
[
(citingPaperId:INTEGER, Primary Key),
(citedPaperId:INTEGER, Primary Key)
]
# Table: main.dataset
[
(datasetId:INTEGER, Primary Key),
(datasetName:VARCHAR)
]
# Table: main.journal
[
(journalId:IN... | Give me the papers written by Su-In Lee before 2012 . | 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; |
scholar | 【DB_ID】 scholar
【Schema】
# Table: main.author
[
(authorId:INTEGER, Primary Key),
(authorName:VARCHAR)
]
# Table: main.cite
[
(citingPaperId:INTEGER, Primary Key),
(citedPaperId:INTEGER, Primary Key)
]
# Table: main.dataset
[
(datasetId:INTEGER, Primary Key),
(datasetName:VARCHAR)
]
# Table: main.journal
[
(journalId:IN... | papers in semantic parsing for each year | 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; |
scholar | 【DB_ID】 scholar
【Schema】
# Table: main.author
[
(authorId:INTEGER, Primary Key),
(authorName:VARCHAR)
]
# Table: main.cite
[
(citingPaperId:INTEGER, Primary Key),
(citedPaperId:INTEGER, Primary Key)
]
# Table: main.dataset
[
(datasetId:INTEGER, Primary Key),
(datasetName:VARCHAR)
]
# Table: main.journal
[
(journalId:IN... | papers with at least 5 citations | 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; |
scholar | 【DB_ID】 scholar
【Schema】
# Table: main.author
[
(authorId:INTEGER, Primary Key),
(authorName:VARCHAR)
]
# Table: main.cite
[
(citingPaperId:INTEGER, Primary Key),
(citedPaperId:INTEGER, Primary Key)
]
# Table: main.dataset
[
(datasetId:INTEGER, Primary Key),
(datasetName:VARCHAR)
]
# Table: main.journal
[
(journalId:IN... | papers cited by at least 5 papers | 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; |
scholar | 【DB_ID】 scholar
【Schema】
# Table: main.author
[
(authorId:INTEGER, Primary Key),
(authorName:VARCHAR)
]
# Table: main.cite
[
(citingPaperId:INTEGER, Primary Key),
(citedPaperId:INTEGER, Primary Key)
]
# Table: main.dataset
[
(datasetId:INTEGER, Primary Key),
(datasetName:VARCHAR)
]
# Table: main.journal
[
(journalId:IN... | What is the most cited paper at sigcomm ? | 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; |
scholar | 【DB_ID】 scholar
【Schema】
# Table: main.author
[
(authorId:INTEGER, Primary Key),
(authorName:VARCHAR)
]
# Table: main.cite
[
(citingPaperId:INTEGER, Primary Key),
(citedPaperId:INTEGER, Primary Key)
]
# Table: main.dataset
[
(datasetId:INTEGER, Primary Key),
(datasetName:VARCHAR)
]
# Table: main.journal
[
(journalId:IN... | What is the name of Ranjit Jhala 's Liquid Haskell paper ? | 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 = "Liq... |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | List all the businesses with more than 4.5 stars | SELECT name FROM business WHERE rating > 4.5; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | List all businesses with rating 3.5 | SELECT name FROM business WHERE rating = 3.5; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | List all user ids with name Michelle | SELECT user_id FROM USER WHERE name = "Michelle"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | Find all states in which there is a Whataburger | SELECT state FROM business WHERE name = "Whataburger"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | Find all cities in which there is a restaurant called " MGM Grand Buffet " | 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"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | Find the cities of businesses rated below 1.5 | SELECT city FROM business WHERE rating < 1.5; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | Find all cities which has a " Taj Mahal " . | SELECT city FROM business WHERE name = "Taj Mahal"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | List all the reviews which rated a business less than 1 | SELECT text FROM review WHERE rating < 1; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | List all the restaurant rated more than 3.5 | 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"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | find all cities which has a " Taj Mahal " restaurant | 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"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | list all the reviews by Niloofar | SELECT t1.text FROM USER AS t2 JOIN review AS t1 ON t2.user_id = t1.user_id WHERE t2.name = "Niloofar"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | list all the businesses which have a review by Niloofar | 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"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | list all the businesses which Niloofar rated 5 | 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"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | List all the reviews by Michelle for Italian restaurant | 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... |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | find the number of reviews written for " Cafe Zinho " restaurant in Texas | 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"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | List all 5 star Italian restaurant | 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"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | List all the neighbourhoods with Italian restaurant in Madison | 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 = "restau... |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | List all the neighbourhoods with Italian restaurant rated less than 2.5 in Madison | 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.cat... |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | find all the restaurant in Pennsylvania | 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"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | List all businesses that are restaurant in Pennsylvania . | 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"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | Find all the reviews for all Pet Groomers with more than 100 reviews | 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"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | What are all the breweries in " Los Angeles " ? | 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"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | Find all breweries in Los Angeles | 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"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | Find all breweries in " Los Angeles " | 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"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | Find all users who reviewed restaurant " Mesa Grill " | 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"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | List the addresses of all Walmart in " Los Angeles " | SELECT full_address FROM business WHERE city = "Los Angeles" AND name = "Walmart"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | Find all restaurant reviewed by Patrick in " Dallas " | 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"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | Which restaurant in Dallas were reviewed by user Patrick ? | 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"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | Find all Bars reviewed by Patrick | 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"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | Find all Bars reviewed by Patrick with at least 3 stars | 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"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | Find all users who have written tips for " Barrio Cafe " in 2015 | 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; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | Find all businesses in Texas with a rating below 2 | SELECT name FROM business WHERE rating < 2 AND state = "Texas"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | Find all restaurant Seafood in Los Angeles | 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"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | List all the Seafood restaurant in " Los Angeles " | 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"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | Find all restaurant that serve Seafood in " Los Angeles " | 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"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | Find all reviews by Patrick with a rating above 4 | 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"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | Find all Apple Store in " Los Angeles " | SELECT business_id FROM business WHERE city = "Los Angeles" AND name = "Apple Store"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | Find all Dallas restaurant with a rating above 4.5 | 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"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | What neighbourhood is restaurant " Flat Top Grill " in ? | 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"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | Find all tips about " Vintner Grill " that received more than 9 likes | 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; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | Find all reviews about " Kabob Palace " in year 2014 | 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; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | Find all users who have written tips about businesses in Dallas | 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"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | Find all cities in Texas in which there is a restaurant called " MGM Grand Buffet " | 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"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | Find the users who have given tips on Pet Groomers | 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"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | Find all tips for " Cafe Zinho " in Texas . | 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"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | List all users who reviewed businesses that are restaurant . | 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"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | List all tips for " Cafe Zinho " in Pennsylvania in 2010 . | 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; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | List all users who reviewed businesses that are restaurant in 2010 . | 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; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | Find all the tips from a user who has written a review in 2012 | 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; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | Find all reviews for businesses rated 2.5 | SELECT t2.text FROM review AS t2 JOIN business AS t1 ON t2.business_id = t1.business_id WHERE t1.rating = 2.5; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | find the number of escape games in Madison | 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"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | What is the number of escape games in Madison | 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"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | How many escape games exist in Madison | 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"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | What is the number of escape games in " Madison " ? | 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"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | How many escape games are there in Madison ? | 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"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | find the number of restaurant rated more than 3.5 | 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"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | find the total checkins in Moroccan restaurant in " Los Angeles " | 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"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | find the total checkins in Moroccan restaurant in " Los Angeles " on Friday | 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" ... |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | find the total checkins in Moroccan restaurant in " Los Angeles " per day | 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 = "r... |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | find the total checkins in Italian Delis in each state on Sunday | 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"... |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | How many reviews has Niloofar written in 2015 | 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"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | what is the average rating given in Michelle reviews | SELECT AVG ( t1.rating ) FROM USER AS t2 JOIN review AS t1 ON t2.user_id = t1.user_id WHERE t2.name = "Michelle"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | What is the number of checkins for " Cafe Zinho " on Friday | 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"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | how many users reviewed " Sushi Too " in Pittsburgh | 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"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | What is the number of restaurant in Pittsburgh rated 4.5 | 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"; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | How many tips have been written in 2015 | SELECT COUNT ( DISTINCT text ) FROM tip WHERE YEAR = 2015; |
yelp | 【DB_ID】 yelp
【Schema】
# Table: main.business
[
(bid:INTEGER, Primary Key),
(business_id:TEXT),
(name:TEXT),
(full_address:TEXT),
(city:TEXT),
(latitude:TEXT),
(longitude:TEXT),
(review_count:INTEGER),
(is_open:INTEGER),
(rating:REAL),
(state:TEXT)
]
# Table: main.category
[
(id:INTEGER, Primary Key),
(business_id:TEXT)... | What is the total likes on tips from Niloofar | SELECT SUM ( t1.likes ) FROM USER AS t2 JOIN tip AS t1 ON t2.user_id = t1.user_id WHERE t2.name = "Niloofar"; |
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