set
dict |
|---|
{
"query": "Who was the captain-keeper of Rising Pune Supergiants?",
"pos": [
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Team AS T3 ON T2.Team_Id = T3.Team_Id INNER JOIN Rolee AS T4 ON T2.Role_Id = T4.Role_Id WHERE T3.Team_Name = 'Rising Pune Supergiants' AND T4.Role_Desc = 'CaptainKeeper' GROUP BY T1.Player_Name"
],
"neg": [
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Country AS T2 ON T1.Country_Name = T2.Country_Id WHERE T2.Country_Name = 'South Africa' AND T1.DOB LIKE '1984%'",
"SELECT T1.Venue_Name, T2.City_Name, T3.Country_Name FROM Venue AS T1 INNER JOIN City AS T2 ON T1.City_Id = T2.City_Id INNER JOIN Country AS T3 ON T2.Country_Id = T3.Country_Id INNER JOIN Match AS T4 ON T1.Venue_Id = T4.Venue_Id ORDER BY T4.Match_Date DESC LIMIT 1",
"SELECT AVG(T1.win_margin) FROM Match AS T1 INNER JOIN Venue AS T2 ON T1.venue_id = T2.venue_id WHERE T2.venue_name = 'Newlands'",
"SELECT Man_of_the_Series FROM Season WHERE 2011 < Season_Year < 2015",
"SELECT T1.Bowling_Skill FROM Bowling_Style AS T1 INNER JOIN Player AS T2 ON T2.Bowling_skill = T1.Bowling_Id GROUP BY T1.Bowling_Skill ORDER BY COUNT(T1.Bowling_Skill) DESC LIMIT 1",
"SELECT CASE WHEN COUNT(T2.Man_of_the_Match) > 5 THEN T1.Player_Name ELSE 0 END FROM Player AS T1 INNER JOIN Match AS T2 ON T1.Player_Id = T2.Man_of_the_Match INNER JOIN Player_Match AS T3 ON T3.Player_Id = T1.Player_Id INNER JOIN Season AS T4 ON T2.Season_Id = T4.Season_Id WHERE T4.Season_Year = 2008",
"SELECT T2.Role_Id FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Rolee AS T3 ON T2.Role_Id = T3.Role_Id INNER JOIN Match AS T4 ON T2.Match_Id = T4.Match_Id WHERE T1.Player_Name = 'SC Ganguly' AND T4.Match_Date = '2008-04-18'",
"SELECT T3.Country_Name FROM Bowling_Style AS T1 INNER JOIN Player AS T2 ON T1.Bowling_Id = T2.Bowling_skill INNER JOIN Country AS T3 ON T2.Country_Name = T3.Country_Id WHERE T1.Bowling_skill = 'Slow left-arm chinaman'",
"SELECT T2.Player_Name FROM Ball_by_Ball AS T1 INNER JOIN Player AS T2 ON T1.Striker = T2.Player_Id WHERE T1.Match_Id = 419169 AND T1.Over_Id = 3 AND T1.Ball_Id = 2 AND T1.Innings_No = 2",
"SELECT MIN(T1.DOB) FROM Player AS T1 INNER JOIN Bowling_Style AS T2 ON T1.Bowling_skill = T2.Bowling_Id WHERE T2.Bowling_Skill = 'Legbreak'"
]
}
|
{
"query": "How many players got out by being stumped in the second innings of all matches?",
"pos": [
"SELECT SUM(CASE WHEN T1.Innings_No = 2 THEN 1 ELSE 0 END) FROM Wicket_Taken AS T1 INNER JOIN Out_Type AS T2 ON T2.Out_Id = T1.Kind_Out WHERE T2.Out_Name = 'stumped'"
],
"neg": [
"SELECT T2.Player_Name, T3.Country_Name FROM Season AS T1 INNER JOIN Player AS T2 ON T1.Man_of_the_Series = T2.Player_Id INNER JOIN Country AS T3 ON T2.Country_Name = T3.Country_Id WHERE T1.Season_Year = 2012",
"SELECT CASE WHEN COUNT(T2.Man_of_the_Match) > 5 THEN T1.Player_Name ELSE 0 END FROM Player AS T1 INNER JOIN Match AS T2 ON T1.Player_Id = T2.Man_of_the_Match INNER JOIN Player_Match AS T3 ON T3.Player_Id = T1.Player_Id INNER JOIN Season AS T4 ON T2.Season_Id = T4.Season_Id WHERE T4.Season_Year = 2008",
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Match AS T3 ON T2.Match_Id = T3.Match_Id WHERE SUBSTR(T3.Match_Date, 1, 4) = '2014' AND SUBSTR(T3.Match_Date, 7, 1) = '6' LIMIT 2",
"SELECT SUM(CASE WHEN Match_Date LIKE '2010-03%' THEN 1 ELSE 0 END) FROM `Match`",
"SELECT COUNT(*) FROM Player WHERE DOB < '1975-10-16' AND Bowling_skill < 3",
"SELECT T2.Toss_Name, T1.Toss_Decide, T1.Toss_Winner FROM `Match` AS T1 INNER JOIN Toss_Decision AS T2 ON T1.Toss_Decide = T2.Toss_Id WHERE T1.Match_Id = '336011'",
"SELECT AVG(T1.Extra_Runs) FROM Extra_Runs AS T1 INNER JOIN Extra_Type AS T2 ON T1.Extra_Type_Id = T2.Extra_Id WHERE T2.Extra_Name = 'noballs'",
"SELECT MIN(T1.DOB) FROM Player AS T1 INNER JOIN Bowling_Style AS T2 ON T1.Bowling_skill = T2.Bowling_Id WHERE T2.Bowling_Skill = 'Legbreak'",
"SELECT SUM(CASE WHEN Team_1 = 10 OR Team_2 = 10 THEN 1 ELSE 0 END) FROM `Match` WHERE SUBSTR(Match_Date, 1, 4) = '2012'",
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Batsman_Scored AS T3 ON T2.Match_ID = T3.Match_ID WHERE T3.Runs_Scored < 3 GROUP BY T1.Player_Name"
]
}
|
{
"query": "What is the name of the player with the highest number of outstanding player awards in a particular match?",
"pos": [
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Match AS T2 ON T1.Player_Id = T2.Man_of_the_Match GROUP BY T2.Man_of_the_Match ORDER BY COUNT(T2.Man_of_the_Match) DESC LIMIT 1"
],
"neg": [
"SELECT T1.Team_Name FROM Team AS T1 INNER JOIN Match AS T2 ON T1.team_id = T2.match_winner WHERE T2.Win_Margin = 6 AND T2.Match_Date = '2009-04-26'",
"SELECT COUNT(CASE WHEN T2.Country_Name = 'Australia' THEN T1.Player_Id ELSE NULL END) FROM Player AS T1 INNER JOIN Country AS T2 ON T1.Country_Name = T2.Country_Id",
"SELECT T3.Team_Name FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T2.Player_Id = T1.Player_Id INNER JOIN Team AS T3 ON T3.Team_Id = T2.Team_Id WHERE T2.Match_Id = 335990 AND T3.Team_Name = 'Mumbai Indians' GROUP BY T3.Team_Name",
"SELECT COUNT(T.Season_Year) FROM ( SELECT T4.Season_Year FROM Team AS T1 INNER JOIN Match AS T2 ON T1.team_id = T2.match_winner INNER JOIN Player_Match AS T3 ON T1.Team_Id = T3.Team_Id INNER JOIN Season AS T4 ON T2.Season_Id = T4.Season_Id WHERE T1.Team_Name = 'Pune Warriors' GROUP BY T4.Season_Year ) T",
"SELECT T2.Player_Name, T3.Country_Name FROM Season AS T1 INNER JOIN Player AS T2 ON T1.Man_of_the_Series = T2.Player_Id INNER JOIN Country AS T3 ON T2.Country_Name = T3.Country_Id WHERE T1.Season_Year = 2012",
"SELECT CAST(SUM(CASE WHEN T3.Win_Type = 'wickets' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T3.Win_Type) FROM Team AS T1 INNER JOIN Match AS T2 ON T1.Team_Id = T2.Match_Winner INNER JOIN Win_By AS T3 ON T2.Win_Type = T3.Win_Id WHERE T1.Team_Name = 'Delhi Daredevils'",
"SELECT CAST(SUM(CASE WHEN T2.Batting_hand = 'Left-hand bat' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.Player_Id) FROM Player AS T1 INNER JOIN Batting_Style AS T2 ON T1.Batting_hand = T2.Batting_Id",
"SELECT T1.Venue_Name, T2.City_Name, T3.Country_Name FROM Venue AS T1 INNER JOIN City AS T2 ON T1.City_Id = T2.City_Id INNER JOIN Country AS T3 ON T2.Country_Id = T3.Country_Id INNER JOIN Match AS T4 ON T1.Venue_Id = T4.Venue_Id ORDER BY T4.Match_Date DESC LIMIT 1",
"SELECT T1.Team_Name FROM Team AS T1 INNER JOIN Match AS T2 ON T1.Team_Id = T2.Team_1 WHERE T2.win_margin = 38 AND match_date = '2009-04-30'",
"SELECT CAST(COUNT(CASE WHEN T1.Team_1 = T1.Match_Winner = T1.Toss_Winner THEN 1 ELSE 0 END) AS REAL) * 100 / TOTAL(T1.Team_1) FROM `Match` AS T1 INNER JOIN Win_By AS T2 ON T1.Win_Type = T2.Win_Id INNER JOIN Toss_Decision AS T3 ON T1.Toss_Decide = T3.Toss_Id WHERE T3.Toss_Name = 'field' AND T2.Win_Type = 'runs'"
]
}
|
{
"query": "Give the match's venue and winning team for the match ID 392194.",
"pos": [
"SELECT T1.Venue_Name, T3.Team_Name FROM Venue AS T1 INNER JOIN Match AS T2 ON T1.venue_id = T2.venue_id INNER JOIN Team AS T3 ON T2.match_winner = T3.Team_Id WHERE T2.Match_Id = 392194"
],
"neg": [
"SELECT Ball_Id, Runs_Scored, Innings_No FROM Batsman_Scored WHERE Match_Id = 335988 AND Over_Id = 20",
"SELECT T1.Venue_Name FROM Venue AS T1 INNER JOIN Match AS T2 ON T1.venue_id = T2.venue_id WHERE T2.match_id = 829768",
"SELECT COUNT(T1.Runs_Scored) FROM Batsman_Scored AS T1 INNER JOIN Ball_by_Ball AS T2 ON T1.Match_Id = T2.Match_Id INNER JOIN Match AS T3 ON T2.Match_Id = T3.Match_Id INNER JOIN Team AS T4 ON T3.Team_1 = T4.Team_Id WHERE T2.Team_Batting = 1 OR T2.Team_Batting = 2 AND T4.Team_Name = 'Delhi Daredevils'",
"SELECT CAST(SUM(CASE WHEN T1.win_type = 1 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.Win_Type) FROM Match AS T1 INNER JOIN Win_By AS T2 ON T1.Win_Type = T2.Win_Id",
"SELECT T1.Venue_Name FROM Venue AS T1 INNER JOIN City AS T2 ON T1.City_Id = T2.City_Id WHERE T2.City_Name = 'Abu Dhabi'",
"SELECT SUM(CASE WHEN SUBSTR(T1.DOB, 1, 4) > 1985 THEN 1 ELSE 0 END) FROM Player AS T1 INNER JOIN Batting_Style AS T2 ON T1.Batting_hand = T2.Batting_Id WHERE T2.Batting_Hand = 'Right-hand bat'",
"SELECT T3.Venue_Name FROM Team AS T1 INNER JOIN Match AS T2 ON T1.Team_Id = T2.Team_1 INNER JOIN Venue AS T3 ON T2.Venue_Id = T3.Venue_Id WHERE T1.Team_Name = 'Kolkata Knight Riders' GROUP BY T3.Venue_Id ORDER BY COUNT(T3.Venue_Id) DESC LIMIT 1",
"SELECT T3.Player_Name FROM Player_Match AS T1 INNER JOIN Rolee AS T2 ON T1.Role_Id = T2.Role_Id INNER JOIN Player AS T3 ON T1.Player_Id = T3.Player_Id WHERE T1.Match_Id = '419117' AND T2.Role_Desc = 'CaptainKeeper'",
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Season AS T2 ON T1.Player_Id = T2.Man_of_the_Series = T2.Orange_Cap",
"SELECT T1.Country_Name FROM Country AS T1 INNER JOIN Umpire AS T2 ON T2.Umpire_Country = T1.Country_Id WHERE T2.Umpire_Name = 'BR Doctrove'"
]
}
|
{
"query": "In what percentage of games played at the Dr DY Patil Sports Academy venue did the winning team win by a margin of less than 10?",
"pos": [
"SELECT CAST(COUNT(CASE WHEN T2.Win_Margin < 10 THEN 1 ELSE 0 END) AS REAL) * 100 / TOTAL(T1.Venue_Id) FROM Venue AS T1 INNER JOIN Match AS T2 ON T1.Venue_Id = T2.Venue_Id WHERE T1.Venue_Name = 'Dr DY Patil Sports Academy'"
],
"neg": [
"SELECT SUM(CASE WHEN T2.Venue_Name = 'Newlands' THEN 1 ELSE 0 END) FROM Match AS T1 INNER JOIN Venue AS T2 ON T2.Venue_Id = T1.Venue_Id",
"SELECT T1.Player_Name, T2.Country_Name FROM Player AS T1 INNER JOIN Country AS T2 ON T1.Country_Name = T2.Country_Id ORDER BY T1.DOB LIMIT 1",
"SELECT T3.Player_Name FROM Player_Match AS T1 INNER JOIN Rolee AS T2 ON T1.Role_Id = T2.Role_Id INNER JOIN Player AS T3 ON T1.Player_Id = T3.Player_Id WHERE T1.Match_Id = '419117' AND T2.Role_Desc = 'CaptainKeeper'",
"SELECT AVG(T1.win_margin) FROM Match AS T1 INNER JOIN Venue AS T2 ON T1.venue_id = T2.venue_id WHERE T2.venue_name = 'Newlands'",
"SELECT T1.team_name FROM Team AS T1 INNER JOIN Match AS T2 ON T1.team_id = T2.team_2 ORDER BY T2.win_margin LIMIT 1",
"SELECT SUM(CASE WHEN Toss_Winner = ( SELECT Team_Id FROM Team WHERE Team_Name = 'Sunrisers Hyderabad' ) THEN 1 ELSE 0 END) FROM `Match`",
"SELECT T1.Team_Name FROM Team AS T1 INNER JOIN Match AS T2 ON T1.team_id = T2.match_winner INNER JOIN Win_By AS T3 ON T2.win_type = T3.win_id WHERE T2.Match_Id = 419135",
"SELECT COUNT(Player_Id) AS cnt FROM Player WHERE DOB BETWEEN '1990-01-01' AND '1999-12-31'",
"SELECT Ball_Id FROM Ball_by_Ball WHERE Non_Striker = Ball_Id ORDER BY Ball_Id DESC LIMIT 1",
"SELECT COUNT(T1.Runs_Scored) FROM Batsman_Scored AS T1 INNER JOIN Ball_by_Ball AS T2 ON T1.Match_Id = T2.Match_Id INNER JOIN Match AS T3 ON T2.Match_Id = T3.Match_Id INNER JOIN Team AS T4 ON T3.Team_1 = T4.Team_Id WHERE T2.Team_Batting = 1 OR T2.Team_Batting = 2 AND T4.Team_Name = 'Delhi Daredevils'"
]
}
|
{
"query": "How old is Ishan Kishan in 2022?",
"pos": [
"SELECT 2022 - SUBSTR(DOB, 1, 4) FROM Player WHERE Player_Name = 'Ishan Kishan'"
],
"neg": [
"SELECT T1.Venue_Name, T3.Team_Name FROM Venue AS T1 INNER JOIN Match AS T2 ON T1.venue_id = T2.venue_id INNER JOIN Team AS T3 ON T2.match_winner = T3.Team_Id WHERE T2.Match_Id = 392194",
"SELECT T1.Bowling_Skill FROM Bowling_Style AS T1 INNER JOIN Player AS T2 ON T2.Bowling_skill = T1.Bowling_Id GROUP BY T1.Bowling_Skill ORDER BY COUNT(T1.Bowling_Skill) DESC LIMIT 1",
"SELECT T1.Team_Name FROM Team AS T1 INNER JOIN Match AS T2 ON T1.team_id = T2.match_winner WHERE T2.Win_Margin = 6 AND T2.Match_Date = '2009-04-26'",
"SELECT SUM(CASE WHEN Match_Id = 548335 THEN 1 ELSE 0 END) FROM Wicket_Taken WHERE Innings_No = 1",
"SELECT T3.Role_Desc FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Rolee AS T3 ON T2.Role_Id = T3.Role_Id WHERE T1.Player_Name = 'SC Ganguly' GROUP BY T3.Role_Desc",
"SELECT COUNT(T1.Match_Winner) FROM `Match` AS T1 INNER JOIN Team AS T2 ON T2.Team_Id = T1.Team_1 OR T2.Team_Id = T1.Team_2 WHERE T2.team_name = 'Delhi Daredevils' AND T1.Match_Date LIKE '2014%'",
"SELECT COUNT(Match_Id) FROM `Match` WHERE Match_Date LIKE '2009%' AND Win_Margin < 10",
"SELECT T1.Player_Name, T4.Country_Name FROM Player AS T1 INNER JOIN Wicket_Taken AS T2 ON T1.Player_Id = T2.Fielders INNER JOIN Out_Type AS T3 ON T2.Kind_Out = T3.Out_Id INNER JOIN Country AS T4 ON T1.Country_Name = T4.Country_Id GROUP BY T1.Player_Name ORDER BY COUNT(T3.Out_Name) ASC",
"SELECT SUM(CASE WHEN Runs_Scored > 3 THEN 1 ELSE 0 END) FROM Batsman_Scored WHERE 335989 < Match_Id < 337000 AND Innings_No = 1 AND Over_Id = 1 AND Ball_Id = 1",
"SELECT T1.City_Name FROM City AS T1 INNER JOIN Venue AS T2 ON T2.City_Id = T1.City_Id WHERE T2.Venue_Name = 'M Chinnaswamy Stadium'"
]
}
|
{
"query": "Who was the man of the series in 2013? Give the full name.",
"pos": [
"SELECT T2.Player_Name FROM Season AS T1 INNER JOIN Player AS T2 ON T1.Man_of_the_Series = T2.Player_Id WHERE T1.Season_Year = 2013"
],
"neg": [
"SELECT Match_Date FROM `Match` ORDER BY Win_Margin DESC LIMIT 1",
"SELECT COUNT(Team_1) FROM `Match` WHERE Team_1 = Toss_Winner AND Toss_Decide = 2",
"SELECT COUNT(T2.Man_of_the_Match) FROM Player AS T1 INNER JOIN Match AS T2 ON T1.Player_Id = T2.Man_of_the_Match INNER JOIN Player_Match AS T3 ON T3.Player_Id = T1.Player_Id WHERE T1.Player_Name = 'SC Ganguly'",
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Country AS T2 ON T1.Country_Name = T2.Country_Id WHERE T2.Country_Name = 'Zimbabwea'",
"SELECT T3.Role_Desc FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Rolee AS T3 ON T2.Role_Id = T3.Role_Id WHERE T1.Player_Name = 'SC Ganguly' GROUP BY T3.Role_Desc",
"SELECT COUNT(Player_Id) AS cnt FROM Player WHERE DOB BETWEEN '1990-01-01' AND '1999-12-31'",
"SELECT SUM(CASE WHEN T2.Country_Name = 'India' THEN 1 ELSE 0 END) FROM City AS T1 INNER JOIN Country AS T2 ON T1.Country_Id = T2.Country_Id",
"SELECT SUM(CASE WHEN Team_1 = 10 OR Team_2 = 10 THEN 1 ELSE 0 END) FROM `Match` WHERE SUBSTR(Match_Date, 1, 4) = '2012'",
"SELECT T1.Match_Date, T4.Role_Desc FROM `Match` AS T1 INNER JOIN Player_Match AS T2 ON T1.Match_Id = T2.Match_Id INNER JOIN Player AS T3 ON T2.Player_Id = T3.Player_Id INNER JOIN Rolee AS T4 ON T2.Role_Id = T4.Role_Id ORDER BY T3.DOB DESC LIMIT 1",
"SELECT CAST(SUM(CASE WHEN T1.win_type = 1 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.Win_Type) FROM Match AS T1 INNER JOIN Win_By AS T2 ON T1.Win_Type = T2.Win_Id"
]
}
|
{
"query": "List down the name of venues in season 2.",
"pos": [
"SELECT T2.Venue_Name FROM Match AS T1 INNER JOIN Venue AS T2 ON T2.Venue_Id = T1.Venue_Id WHERE T1.Season_Id = 2 GROUP BY T2.Venue_Name"
],
"neg": [
"SELECT T4.City_Name FROM `Match` AS T1 INNER JOIN Win_By AS T2 ON T1.Win_Type = T2.Win_Id INNER JOIN Venue AS T3 ON T1.Venue_Id = T3.Venue_Id INNER JOIN City AS T4 ON T3.City_Id = T4.City_Id WHERE T2.Win_Type = 'NO Result' GROUP BY T4.City_Id ORDER BY COUNT(T2.Win_Type) ASC LIMIT 1",
"SELECT T1.DOB, T3.Role_Desc FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Rolee AS T3 ON T2.Role_Id = T3.Role_Id WHERE T1.Player_Name = 'R Dravid' GROUP BY T1.DOB, T3.Role_Desc",
"SELECT AVG(T1.Player_Out) FROM Wicket_Taken AS T1 INNER JOIN Out_Type AS T2 ON T1.Kind_Out = T2.Out_Id WHERE T2.Out_Name = 'lbw'",
"SELECT T1.team_name FROM Team AS T1 INNER JOIN Match AS T2 ON T1.team_id = T2.team_2 ORDER BY T2.win_margin LIMIT 1",
"SELECT Team_Name FROM Team WHERE Team_Id = ( SELECT Match_Winner FROM `Match` WHERE season_Id = 1 GROUP BY Match_Winner ORDER BY COUNT(Match_Winner) DESC LIMIT 1 )",
"SELECT T1.Team_Name FROM Team AS T1 INNER JOIN Match AS T2 ON T1.Team_Id = T2.Team_1 WHERE T2.win_margin = 38 AND match_date = '2009-04-30'",
"SELECT Match_Date FROM `Match` WHERE team_1 = ( SELECT Team_Id FROM Team WHERE Team_Name = 'Chennai Super Kings' ) OR Team_2 = ( SELECT Team_Id FROM Team WHERE Team_Name = 'Chennai Super Kings' ) ORDER BY Match_Date ASC LIMIT 1",
"SELECT CAST(COUNT(CASE WHEN T1.Toss_Name = 'bat' THEN T3.Runs_Scored ELSE NULL END) AS REAL) / SUM(CASE WHEN T1.Toss_Name = 'field' THEN 1 ELSE 0 END) FROM Toss_Decision AS T1 INNER JOIN Match AS T2 ON T1.Toss_Id = T2.Toss_Decide INNER JOIN Batsman_Scored AS T3 ON T2.Match_Id = T3.Match_Id WHERE T2.Match_Id = 335987 AND T2.Match_Date = '2008-04-18' GROUP BY T3.Over_Id HAVING COUNT(T1.Toss_Name = 'field') = 16",
"SELECT T2.Venue_Name FROM `Match` AS T1 INNER JOIN Venue AS T2 ON T1.Venue_Id = T2.Venue_Id GROUP BY T2.Venue_Name ORDER BY COUNT(T2.Venue_Id) DESC LIMIT 1",
"SELECT SUM(CASE WHEN T2.Venue_Name = 'M Chinnaswamy Stadium' THEN 1 ELSE 0 END) - SUM(CASE WHEN T2.Venue_Name = 'Maharashtra Cricket Association Stadium' THEN 1 ELSE 0 END) FROM `Match` AS T1 INNER JOIN Venue AS T2 ON T1.Venue_Id = T2.Venue_Id"
]
}
|
{
"query": "For how many times has player no.41 won the \"man of the match\" award?",
"pos": [
"SELECT COUNT(Match_Id) FROM `Match` WHERE Man_of_the_Match = 41"
],
"neg": [
"SELECT Country_id FROM City WHERE City_Name = 'East London'",
"SELECT SUM(CASE WHEN T2.Team_Name = 'Pune Warriors' THEN 1 ELSE 0 END) FROM Match AS T1 INNER JOIN Team AS T2 ON T2.Team_Id = T1.Match_Winner",
"SELECT T2.City_Name FROM Venue AS T1 INNER JOIN City AS T2 ON T1.City_Id = T2.City_Id WHERE T1.Venue_Name LIKE 'St George%'",
"SELECT T2.Bowling_Skill FROM Player AS T1 INNER JOIN Bowling_Style AS T2 ON T1.Bowling_skill = T2.Bowling_Id INNER JOIN Country AS T3 ON T1.Country_Name = T3.Country_Id WHERE T3.Country_Name = 'Australia' GROUP BY T2.Bowling_Skill",
"SELECT AVG(Innings_No) FROM Extra_Runs WHERE Innings_No = 2",
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Season AS T2 ON T1.Player_Id = T2.Purple_Cap ORDER BY T2.Season_Year - SUBSTR(T1.DOB, 1, 4) LIMIT 1",
"SELECT MIN(T1.DOB) FROM Player AS T1 INNER JOIN Bowling_Style AS T2 ON T1.Bowling_skill = T2.Bowling_Id WHERE T2.Bowling_Skill = 'Legbreak'",
"SELECT SUM(CASE WHEN T3.Role_Desc = 'Captain' THEN 1 ELSE 0 END) FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Rolee AS T3 ON T2.Role_Id = T3.Role_Id WHERE T1.Player_Name = 'SC Ganguly'",
"SELECT T1.Bowling_Skill FROM Bowling_Style AS T1 INNER JOIN Player AS T2 ON T2.Bowling_skill = T1.Bowling_Id GROUP BY T1.Bowling_Skill ORDER BY COUNT(T1.Bowling_Skill) DESC LIMIT 1",
"SELECT T3.Team_Name FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T2.Player_Id = T1.Player_Id INNER JOIN Team AS T3 ON T3.Team_Id = T2.Team_Id WHERE T2.Match_Id = 335990 AND T3.Team_Name = 'Mumbai Indians' GROUP BY T3.Team_Name"
]
}
|
{
"query": "Among the matches of Delhi Daredevils in 2014, how many won matches are there?",
"pos": [
"SELECT COUNT(T1.Match_Winner) FROM `Match` AS T1 INNER JOIN Team AS T2 ON T2.Team_Id = T1.Team_1 OR T2.Team_Id = T1.Team_2 WHERE T2.team_name = 'Delhi Daredevils' AND T1.Match_Date LIKE '2014%'"
],
"neg": [
"SELECT SUM(CASE WHEN T1.Player_Name = 'CH Gayle' THEN 1 ELSE 0 END) AS cnt FROM Player AS T1 INNER JOIN Season AS T2 ON T1.Player_Id = T2.Orange_Cap",
"SELECT SUM(CASE WHEN T2.Player_Name = 'Mohammad Hafeez' THEN 1 ELSE 0 END) FROM Player_Match AS T1 INNER JOIN Player AS T2 ON T1.Player_Id = T2.Player_Id",
"SELECT T2.City_Name FROM Venue AS T1 INNER JOIN City AS T2 ON T1.City_Id = T2.City_Id WHERE T1.Venue_Name LIKE 'St George%'",
"SELECT T3.Player_Name FROM Player_Match AS T1 INNER JOIN Rolee AS T2 ON T1.Role_Id = T2.Role_Id INNER JOIN Player AS T3 ON T1.Player_Id = T3.Player_Id WHERE T1.Match_Id = '419117' AND T2.Role_Desc = 'CaptainKeeper'",
"SELECT T1.team_name FROM Team AS T1 INNER JOIN Match AS T2 ON T1.team_id = T2.team_2 ORDER BY T2.win_margin LIMIT 1",
"SELECT CAST(SUM(CASE WHEN T1.win_type = 1 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.Win_Type) FROM Match AS T1 INNER JOIN Win_By AS T2 ON T1.Win_Type = T2.Win_Id",
"SELECT T2.match_id FROM Team AS T1 INNER JOIN Match AS T2 ON T1.team_id = T2.match_winner WHERE T1.team_name = 'Royal Challengers Bangalore' AND T2.match_date LIKE '2012%' ORDER BY T2.win_margin DESC LIMIT 1",
"SELECT 2022 - SUBSTR(DOB, 1, 4) FROM Player WHERE Player_Name = 'Ishan Kishan'",
"SELECT AVG(T1.Player_Out) FROM Wicket_Taken AS T1 INNER JOIN Out_Type AS T2 ON T1.Kind_Out = T2.Out_Id WHERE T2.Out_Name = 'lbw'",
"SELECT T2.Country_Id, COUNT(T1.Umpire_Id) FROM Umpire AS T1 INNER JOIN Country AS T2 ON T2.Country_Id = T1.Umpire_Country GROUP BY T2.Country_Id ORDER BY COUNT(T1.Umpire_Id) DESC LIMIT 1"
]
}
|
{
"query": "What is the total number of won matches of the team named \"Pune Warriors\"?",
"pos": [
"SELECT SUM(CASE WHEN T2.Team_Name = 'Pune Warriors' THEN 1 ELSE 0 END) FROM Match AS T1 INNER JOIN Team AS T2 ON T2.Team_Id = T1.Match_Winner"
],
"neg": [
"SELECT CAST(COUNT(CASE WHEN T1.Team_1 = T1.Match_Winner = T1.Toss_Winner THEN 1 ELSE 0 END) AS REAL) * 100 / TOTAL(T1.Team_1) FROM `Match` AS T1 INNER JOIN Win_By AS T2 ON T1.Win_Type = T2.Win_Id INNER JOIN Toss_Decision AS T3 ON T1.Toss_Decide = T3.Toss_Id WHERE T3.Toss_Name = 'field' AND T2.Win_Type = 'runs'",
"SELECT COUNT(Player_Id) AS cnt FROM Player WHERE DOB BETWEEN '1990-01-01' AND '1999-12-31'",
"SELECT T1.Venue_Name FROM Venue AS T1 INNER JOIN Match AS T2 ON T1.venue_id = T2.venue_id WHERE T2.match_id = 829768",
"SELECT T1.Country_Name FROM Country AS T1 INNER JOIN Player AS T2 ON T2.Country_Name = T1.Country_Id WHERE T2.Country_Name IS NOT NULL ORDER BY T2.DOB LIMIT 1",
"SELECT Orange_Cap FROM Season GROUP BY Orange_Cap HAVING COUNT(Season_Year) > 1",
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Batting_Style AS T2 ON T1.Batting_hand = T2.Batting_Id WHERE T2.Batting_hand = 'Left-hand bat'",
"SELECT COUNT(*) FROM Player WHERE DOB < '1975-10-16' AND Bowling_skill < 3",
"SELECT CAST(SUM(CASE WHEN T1.Role_Desc = 'Captain' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.Role_Id) FROM Rolee AS T1 INNER JOIN Player_Match AS T2 ON T2.Role_Id = T1.Role_Id INNER JOIN Player AS T3 ON T3.Player_Id = T2.Player_Id WHERE T3.DOB LIKE '1977%'",
"SELECT T3.Player_Name FROM Player_Match AS T1 INNER JOIN Rolee AS T2 ON T1.Role_Id = T2.Role_Id INNER JOIN Player AS T3 ON T1.Player_Id = T3.Player_Id WHERE T1.Match_Id = '419117' AND T2.Role_Desc = 'CaptainKeeper'",
"SELECT SUM(CASE WHEN Venue_Name = 'MA Chidambaram Stadium' THEN 1 ELSE 0 END) FROM `Match` AS T1 INNER JOIN Venue AS T2 ON T1.Venue_Id = T2.Venue_Id WHERE Match_Date BETWEEN '2009-05-09' AND '2011-08-08'"
]
}
|
{
"query": "For the game on 2008/5/12, who was the man of the match?",
"pos": [
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Match AS T2 ON T1.Player_Id = T2.Man_of_the_Match WHERE T2.Match_Date = '2008-05-12'"
],
"neg": [
"SELECT CAST(SUM(CASE WHEN T1.Role_Desc = 'Captain' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.Role_Id) FROM Rolee AS T1 INNER JOIN Player_Match AS T2 ON T2.Role_Id = T1.Role_Id INNER JOIN Player AS T3 ON T3.Player_Id = T2.Player_Id WHERE T3.DOB LIKE '1977%'",
"SELECT T1.DOB, T3.Role_Desc FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Rolee AS T3 ON T2.Role_Id = T3.Role_Id WHERE T1.Player_Name = 'R Dravid' GROUP BY T1.DOB, T3.Role_Desc",
"SELECT T3.Role_Desc FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T2.Player_Id = T1.Player_Id INNER JOIN Rolee AS T3 ON T3.Role_Id = T2.Role_Id WHERE T2.Match_Id = 335992 AND T1.Player_Name = 'K Goel'",
"SELECT T2.Role_Id FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Rolee AS T3 ON T2.Role_Id = T3.Role_Id INNER JOIN Match AS T4 ON T2.Match_Id = T4.Match_Id WHERE T1.Player_Name = 'SC Ganguly' AND T4.Match_Date = '2008-04-18'",
"SELECT SUM(CASE WHEN SUBSTR(T1.DOB, 1, 4) > 1985 THEN 1 ELSE 0 END) FROM Player AS T1 INNER JOIN Batting_Style AS T2 ON T1.Batting_hand = T2.Batting_Id WHERE T2.Batting_Hand = 'Right-hand bat'",
"SELECT SUM(CASE WHEN T2.win_type = 'wickets' THEN 1 ELSE 0 END) FROM `Match` AS T1 INNER JOIN Win_By AS T2 ON T1.Win_Type = T2.Win_Id",
"SELECT Player_Name FROM Player ORDER BY DOB DESC LIMIT 1",
"SELECT SUM(CASE WHEN Venue_Name = 'MA Chidambaram Stadium' THEN 1 ELSE 0 END) FROM `Match` AS T1 INNER JOIN Venue AS T2 ON T1.Venue_Id = T2.Venue_Id WHERE Match_Date BETWEEN '2009-05-09' AND '2011-08-08'",
"SELECT SUM(CASE WHEN T1.Player_Name = 'CH Gayle' THEN 1 ELSE 0 END) AS cnt FROM Player AS T1 INNER JOIN Season AS T2 ON T1.Player_Id = T2.Orange_Cap",
"SELECT Player_Id FROM Player ORDER BY Bowling_skill DESC LIMIT 5"
]
}
|
{
"query": "How many players have left arm fast in bowling skill?",
"pos": [
"SELECT COUNT(T1.Player_Id) FROM Player AS T1 INNER JOIN Bowling_Style AS T2 ON T1.Bowling_skill = T2.Bowling_Id WHERE T2.Bowling_skill = 'Left-arm fast'"
],
"neg": [
"SELECT Team_Name FROM Team WHERE Team_Id = ( SELECT CASE WHEN Team_1 = Match_Winner THEN Team_2 ELSE Team_1 END FROM Match WHERE match_id = 336039 )",
"SELECT T4.City_Name FROM `Match` AS T1 INNER JOIN Win_By AS T2 ON T1.Win_Type = T2.Win_Id INNER JOIN Venue AS T3 ON T1.Venue_Id = T3.Venue_Id INNER JOIN City AS T4 ON T3.City_Id = T4.City_Id WHERE T2.Win_Type = 'NO Result' GROUP BY T4.City_Id ORDER BY COUNT(T2.Win_Type) ASC LIMIT 1",
"SELECT T2.Match_Id FROM Venue AS T1 INNER JOIN Match AS T2 ON T1.venue_id = T2.venue_id WHERE T1.Venue_Name = 'St George''s Park' ORDER BY T2.Win_Margin DESC LIMIT 1",
"SELECT DOB FROM Player GROUP BY DOB ORDER BY COUNT(DOB) DESC LIMIT 1",
"SELECT SUM(CASE WHEN T2.Venue_Name = 'Newlands' THEN 1 ELSE 0 END) FROM Match AS T1 INNER JOIN Venue AS T2 ON T2.Venue_Id = T1.Venue_Id",
"SELECT Player_name FROM Player WHERE DOB = '1981-07-07'",
"SELECT T2.Player_Name FROM Season AS T1 INNER JOIN Player AS T2 ON T1.Man_of_the_Series = T2.Player_Id WHERE T1.Man_of_the_Series > 1",
"SELECT T1.Team_Name FROM Team AS T1 INNER JOIN Match AS T2 ON T1.Team_Id = T2.Team_1 OR T1.Team_Id = T2.Team_2 INNER JOIN Win_By AS T3 ON T2.Win_Type = T3.Win_Id WHERE SUBSTR(T2.Match_Date, 1, 4) = '2015' AND T3.Win_Type = 'Tie' LIMIT 1",
"SELECT COUNT(*) FROM Player WHERE DOB < '1975-10-16' AND Bowling_skill < 3",
"SELECT AVG(T1.win_margin) FROM Match AS T1 INNER JOIN Venue AS T2 ON T1.venue_id = T2.venue_id WHERE T2.venue_name = 'Newlands'"
]
}
|
{
"query": "What are the names of players that have run scored less than 3?",
"pos": [
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Batsman_Scored AS T3 ON T2.Match_ID = T3.Match_ID WHERE T3.Runs_Scored < 3 GROUP BY T1.Player_Name"
],
"neg": [
"SELECT T2.Win_Type FROM Match AS T1 INNER JOIN Win_By AS T2 ON T1.Win_Type = T2.Win_Id WHERE T1.Match_Id = 336000",
"SELECT COUNT(T2.Man_of_the_Match) FROM Player AS T1 INNER JOIN Match AS T2 ON T1.Player_Id = T2.Man_of_the_Match INNER JOIN Player_Match AS T3 ON T3.Player_Id = T1.Player_Id WHERE T1.Player_Name = 'SC Ganguly'",
"SELECT COUNT(CASE WHEN T2.Country_Name = 'Australia' THEN T1.Player_Id ELSE NULL END) FROM Player AS T1 INNER JOIN Country AS T2 ON T1.Country_Name = T2.Country_Id",
"SELECT T5.Team_Name FROM Player AS T1 INNER JOIN Match AS T2 ON T1.Player_Id = T2.Man_of_the_Match INNER JOIN Player_Match AS T3 ON T3.Player_Id = T1.Player_Id INNER JOIN Season AS T4 ON T2.Season_Id = T4.Season_Id INNER JOIN Team AS T5 ON T3.Team_Id = T5.Team_Id WHERE T4.Season_Year = 2008 AND T1.Player_Name = 'SC Ganguly' GROUP BY T5.Team_Name",
"SELECT CAST(SUM(CASE WHEN T1.Batting_hand = 'Right-hand bat' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.Country_Name) FROM Batting_Style AS T1 INNER JOIN Player AS T2 ON T1.Batting_id = T2.Batting_hand",
"SELECT Man_of_the_Series FROM Season WHERE 2011 < Season_Year < 2015",
"SELECT T1.Country_Name FROM Country AS T1 INNER JOIN Umpire AS T2 ON T2.Umpire_Country = T1.Country_Id WHERE T2.Umpire_Name = 'BR Doctrove'",
"SELECT DOB FROM Player GROUP BY DOB ORDER BY COUNT(DOB) DESC LIMIT 1",
"SELECT MIN(T1.DOB) FROM Player AS T1 INNER JOIN Bowling_Style AS T2 ON T1.Bowling_skill = T2.Bowling_Id WHERE T2.Bowling_Skill = 'Legbreak'",
"SELECT SUM(CASE WHEN T2.Country_Name = 'India' THEN 1 ELSE 0 END) FROM City AS T1 INNER JOIN Country AS T2 ON T1.Country_Id = T2.Country_Id"
]
}
|
{
"query": "Among the players born in 1977, what is the percentage of the players with a role as a captain?",
"pos": [
"SELECT CAST(SUM(CASE WHEN T1.Role_Desc = 'Captain' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.Role_Id) FROM Rolee AS T1 INNER JOIN Player_Match AS T2 ON T2.Role_Id = T1.Role_Id INNER JOIN Player AS T3 ON T3.Player_Id = T2.Player_Id WHERE T3.DOB LIKE '1977%'"
],
"neg": [
"SELECT CAST(SUM(CASE WHEN 1 < Over_Id AND Over_Id < 25 THEN 1 ELSE 0 END) AS REAL) * 100 / SUM(Runs_Scored) FROM Batsman_Scored WHERE Innings_No = 1",
"SELECT SUM(CASE WHEN T2.Player_Name = 'Mohammad Hafeez' THEN 1 ELSE 0 END) FROM Player_Match AS T1 INNER JOIN Player AS T2 ON T1.Player_Id = T2.Player_Id",
"SELECT T1.Player_Name, T2.Country_Name FROM Player AS T1 INNER JOIN Country AS T2 ON T1.Country_Name = T2.Country_Id ORDER BY T1.DOB LIMIT 1",
"SELECT T1.DOB, T3.Role_Desc FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Rolee AS T3 ON T2.Role_Id = T3.Role_Id WHERE T1.Player_Name = 'R Dravid' GROUP BY T1.DOB, T3.Role_Desc",
"SELECT T2.Player_Name FROM Season AS T1 INNER JOIN Player AS T2 ON T1.Man_of_the_Series = T2.Player_Id WHERE T1.Season_Year = 2013",
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Batting_Style AS T2 ON T1.Batting_hand = T2.Batting_Id WHERE T2.Batting_hand = 'Left-hand bat'",
"SELECT SUM(Runs_Scored) FROM Batsman_Scored WHERE Match_Id = 335988 AND Innings_No = 2",
"SELECT CAST(SUM(CASE WHEN T2.Toss_Name = 'field' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.Toss_Id) FROM Match AS T1 INNER JOIN Toss_Decision AS T2 ON T2.Toss_Id = T1.Toss_Decide WHERE T1.Match_Date BETWEEN '2010-01-01' AND '2016-12-31'",
"SELECT SUM(CASE WHEN T2.Venue_Name = 'Newlands' THEN 1 ELSE 0 END) FROM Match AS T1 INNER JOIN Venue AS T2 ON T2.Venue_Id = T1.Venue_Id",
"SELECT T3.Role_Desc FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Rolee AS T3 ON T2.Role_Id = T3.Role_Id WHERE T1.Player_Name = 'SC Ganguly' GROUP BY T3.Role_Desc"
]
}
|
{
"query": "When and for what role did the youngest player appear in his first match?",
"pos": [
"SELECT T1.Match_Date, T4.Role_Desc FROM `Match` AS T1 INNER JOIN Player_Match AS T2 ON T1.Match_Id = T2.Match_Id INNER JOIN Player AS T3 ON T2.Player_Id = T3.Player_Id INNER JOIN Rolee AS T4 ON T2.Role_Id = T4.Role_Id ORDER BY T3.DOB DESC LIMIT 1"
],
"neg": [
"SELECT CAST(SUM(CASE WHEN T3.Win_Type = 'wickets' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T3.Win_Type) FROM Team AS T1 INNER JOIN Match AS T2 ON T1.Team_Id = T2.Match_Winner INNER JOIN Win_By AS T3 ON T2.Win_Type = T3.Win_Id WHERE T1.Team_Name = 'Delhi Daredevils'",
"SELECT SUM(CASE WHEN T1.Innings_No = 2 THEN 1 ELSE 0 END) FROM Wicket_Taken AS T1 INNER JOIN Out_Type AS T2 ON T2.Out_Id = T1.Kind_Out WHERE T2.Out_Name = 'stumped'",
"SELECT COUNT(Match_Id) FROM `Match` WHERE Match_Date LIKE '2009%' AND Win_Margin < 10",
"SELECT T1.Venue_Name, T3.Team_Name FROM Venue AS T1 INNER JOIN Match AS T2 ON T1.venue_id = T2.venue_id INNER JOIN Team AS T3 ON T2.match_winner = T3.Team_Id WHERE T2.Match_Id = 392194",
"SELECT T2.Team_Name FROM Match AS T1 INNER JOIN Team AS T2 ON T2.Team_Id = T1.Team_1 ORDER BY T1.Win_Margin DESC LIMIT 1",
"SELECT COUNT(Match_Id) FROM `Match` WHERE SUBSTR(Match_Date, 1, 4) = '2008' AND SUBSTR(Match_Date, 7, 1) = '5'",
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Match AS T3 ON T2.Match_Id = T3.Match_Id WHERE SUBSTR(T3.Match_Date, 1, 4) = '2014' AND SUBSTR(T3.Match_Date, 7, 1) = '6' LIMIT 2",
"SELECT SUM(CASE WHEN T2.Venue_Name = 'M Chinnaswamy Stadium' THEN 1 ELSE 0 END) - SUM(CASE WHEN T2.Venue_Name = 'Maharashtra Cricket Association Stadium' THEN 1 ELSE 0 END) FROM `Match` AS T1 INNER JOIN Venue AS T2 ON T1.Venue_Id = T2.Venue_Id",
"SELECT COUNT(Team_1) FROM `Match` WHERE Team_1 = Toss_Winner AND Toss_Decide = 2",
"SELECT T1.Match_Date FROM `Match` AS T1 INNER JOIN Team AS T2 ON T1.Match_Winner = T2.Team_Id WHERE T2.Team_Name = 'Sunrisers Hyderabad'"
]
}
|
{
"query": "What are the names of players who participated in season year 2008?",
"pos": [
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Match AS T2 ON T1.Player_Id = T2.Man_of_the_Match INNER JOIN Player_Match AS T3 ON T3.Player_Id = T1.Player_Id INNER JOIN Season AS T4 ON T2.Season_Id = T4.Season_Id WHERE T4.Season_Year = 2008 GROUP BY T1.Player_Name"
],
"neg": [
"SELECT AVG(T1.Player_Out) FROM Wicket_Taken AS T1 INNER JOIN Out_Type AS T2 ON T1.Kind_Out = T2.Out_Id WHERE T2.Out_Name = 'lbw'",
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Rolee AS T3 ON T2.Role_Id = T3.Role_Id WHERE T3.Role_Desc = 'Keeper' GROUP BY T1.Player_Name",
"SELECT SUM(CASE WHEN Match_Id = 548335 THEN 1 ELSE 0 END) FROM Wicket_Taken WHERE Innings_No = 1",
"SELECT Player_name FROM Player WHERE DOB = '1981-07-07'",
"SELECT T1.Country_Name FROM Country AS T1 INNER JOIN Player AS T2 ON T2.Country_Name = T1.Country_Id WHERE T2.Country_Name IS NOT NULL ORDER BY T2.DOB LIMIT 1",
"SELECT T1.Team_Name FROM team AS T1 INNER JOIN Match AS T2 ON T1.Team_Id = T2.Match_Winner WHERE T2.Season_Id = 1 ORDER BY T2.Match_Date LIMIT 1",
"SELECT T1.Umpire_Name, T1.Umpire_Id FROM Umpire AS T1 INNER JOIN Country AS T2 ON T1.Umpire_Country = T2.Country_Id WHERE T2.Country_Name = 'England'",
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Country AS T2 ON T1.Country_Name = T2.Country_Id WHERE T2.Country_Name = 'South Africa' AND T1.DOB LIKE '1984%'",
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Team AS T3 ON T2.Team_Id = T3.Team_Id INNER JOIN Rolee AS T4 ON T2.Role_Id = T4.Role_Id WHERE T3.Team_Name = 'Rising Pune Supergiants' AND T4.Role_Desc = 'CaptainKeeper' GROUP BY T1.Player_Name",
"SELECT T2.Venue_Name FROM `Match` AS T1 INNER JOIN Venue AS T2 ON T1.Venue_Id = T2.Venue_Id GROUP BY T2.Venue_Name ORDER BY COUNT(T2.Venue_Id) DESC LIMIT 1"
]
}
|
{
"query": "How many matches did the Sunrisers Hyderabad team win in 2013?",
"pos": [
"SELECT SUM(CASE WHEN Match_Date LIKE '2013%' THEN 1 ELSE 0 END) FROM `Match` AS T1 INNER JOIN Team AS T2 ON T1.Match_Winner = T2.Team_Id WHERE T2.Team_Name = 'Sunrisers Hyderabad'"
],
"neg": [
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Country AS T2 ON T1.Country_Name = T2.Country_Id WHERE T2.Country_Name = 'South Africa' AND T1.DOB LIKE '1984%'",
"SELECT Ball_Id, Runs_Scored, Innings_No FROM Batsman_Scored WHERE Match_Id = 335988 AND Over_Id = 20",
"SELECT T1.Country_Name FROM Country AS T1 INNER JOIN Player AS T2 ON T2.Country_Name = T1.Country_Id WHERE T2.Country_Name IS NOT NULL ORDER BY T2.DOB LIMIT 1",
"SELECT T1.Team_Name FROM Team AS T1 INNER JOIN Match AS T2 ON T1.team_id = T2.match_winner INNER JOIN Win_By AS T3 ON T2.win_type = T3.win_id WHERE T2.Match_Id = 419135",
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Match AS T2 ON T1.Player_Id = T2.Man_of_the_Match WHERE T2.Match_Date = '2008-05-12'",
"SELECT SUM(CASE WHEN Venue_Name = 'MA Chidambaram Stadium' THEN 1 ELSE 0 END) FROM `Match` AS T1 INNER JOIN Venue AS T2 ON T1.Venue_Id = T2.Venue_Id WHERE Match_Date BETWEEN '2009-05-09' AND '2011-08-08'",
"SELECT T2.Team_Name FROM Match AS T1 INNER JOIN Team AS T2 ON T2.Team_Id = T1.Team_2 WHERE T1.Team_1 = ( SELECT Team_Id FROM Team WHERE Team_Name = 'Pune Warriors' ) GROUP BY T2.Team_Name",
"SELECT AVG(T1.Extra_Runs) FROM Extra_Runs AS T1 INNER JOIN Extra_Type AS T2 ON T1.Extra_Type_Id = T2.Extra_Id WHERE T2.Extra_Name = 'noballs'",
"SELECT COUNT(Match_Id) FROM `Match` WHERE SUBSTR(Match_Date, 1, 4) = '2008' AND SUBSTR(Match_Date, 7, 1) = '5'",
"SELECT Player_Name FROM Player ORDER BY DOB DESC LIMIT 1"
]
}
|
{
"query": "List down the name of teams that won the toss of the coin from matches with ID from 336010 to 336020.",
"pos": [
"SELECT T2.Team_Name FROM Match AS T1 INNER JOIN Team AS T2 ON T2.Team_Id = T1.Toss_Winner WHERE T1.Match_Id BETWEEN 336010 AND 336020"
],
"neg": [
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Match AS T2 ON T1.Player_Id = T2.Man_of_the_Match GROUP BY T2.Man_of_the_Match ORDER BY COUNT(T2.Man_of_the_Match) DESC LIMIT 1",
"SELECT T2.Player_Name FROM Ball_by_Ball AS T1 INNER JOIN Player AS T2 ON T1.Striker = T2.Player_Id WHERE T1.Match_Id = 419169 AND T1.Over_Id = 3 AND T1.Ball_Id = 2 AND T1.Innings_No = 2",
"SELECT SUM(CASE WHEN T1.Player_Name = 'CH Gayle' THEN 1 ELSE 0 END) AS cnt FROM Player AS T1 INNER JOIN Season AS T2 ON T1.Player_Id = T2.Orange_Cap",
"SELECT T1.Match_Date FROM `Match` AS T1 INNER JOIN Team AS T2 ON T1.Match_Winner = T2.Team_Id WHERE T2.Team_Name = 'Sunrisers Hyderabad'",
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Team AS T3 ON T2.Team_Id = T3.Team_Id INNER JOIN Rolee AS T4 ON T2.Role_Id = T4.Role_Id WHERE T3.Team_Name = 'Rising Pune Supergiants' AND T4.Role_Desc = 'CaptainKeeper' GROUP BY T1.Player_Name",
"SELECT T4.City_Name FROM `Match` AS T1 INNER JOIN Win_By AS T2 ON T1.Win_Type = T2.Win_Id INNER JOIN Venue AS T3 ON T1.Venue_Id = T3.Venue_Id INNER JOIN City AS T4 ON T3.City_Id = T4.City_Id WHERE T2.Win_Type = 'NO Result' GROUP BY T4.City_Id ORDER BY COUNT(T2.Win_Type) ASC LIMIT 1",
"SELECT SUM(CASE WHEN T2.Venue_Name = 'Newlands' THEN 1 ELSE 0 END) FROM Match AS T1 INNER JOIN Venue AS T2 ON T2.Venue_Id = T1.Venue_Id",
"SELECT T5.Team_Name FROM Player AS T1 INNER JOIN Match AS T2 ON T1.Player_Id = T2.Man_of_the_Match INNER JOIN Player_Match AS T3 ON T3.Player_Id = T1.Player_Id INNER JOIN Season AS T4 ON T2.Season_Id = T4.Season_Id INNER JOIN Team AS T5 ON T3.Team_Id = T5.Team_Id WHERE T4.Season_Year = 2008 AND T1.Player_Name = 'SC Ganguly' GROUP BY T5.Team_Name",
"SELECT T1.City_Name FROM City AS T1 INNER JOIN Country AS T2 ON T2.Country_Id = T1.Country_id WHERE T2.Country_Name = 'U.A.E'",
"SELECT SUM(CASE WHEN T2.Player_Name = 'Mohammad Hafeez' THEN 1 ELSE 0 END) FROM Player_Match AS T1 INNER JOIN Player AS T2 ON T1.Player_Id = T2.Player_Id"
]
}
|
{
"query": "Give the player id of the player who was at the non-striker end for the most number of balls in the match 501219.",
"pos": [
"SELECT Ball_Id FROM Ball_by_Ball WHERE Non_Striker = Ball_Id ORDER BY Ball_Id DESC LIMIT 1"
],
"neg": [
"SELECT T2.Venue_Name FROM Match AS T1 INNER JOIN Venue AS T2 ON T2.Venue_Id = T1.Venue_Id WHERE T1.Season_Id = 2 GROUP BY T2.Venue_Name",
"SELECT T1.Player_Name, T2.Country_Name FROM Player AS T1 INNER JOIN Country AS T2 ON T1.Country_Name = T2.Country_Id ORDER BY T1.DOB LIMIT 1",
"SELECT T2.Player_Name FROM Ball_by_Ball AS T1 INNER JOIN Player AS T2 ON T1.Striker = T2.Player_Id WHERE T1.Match_Id = 419169 AND T1.Over_Id = 3 AND T1.Ball_Id = 2 AND T1.Innings_No = 2",
"SELECT T3.Player_Name FROM Player_Match AS T1 INNER JOIN Rolee AS T2 ON T1.Role_Id = T2.Role_Id INNER JOIN Player AS T3 ON T1.Player_Id = T3.Player_Id WHERE T1.Match_Id = '419117' AND T2.Role_Desc = 'CaptainKeeper'",
"SELECT 2022 - SUBSTR(DOB, 1, 4) FROM Player WHERE Player_Name = 'Ishan Kishan'",
"SELECT T1.Match_Date, T4.Role_Desc FROM `Match` AS T1 INNER JOIN Player_Match AS T2 ON T1.Match_Id = T2.Match_Id INNER JOIN Player AS T3 ON T2.Player_Id = T3.Player_Id INNER JOIN Rolee AS T4 ON T2.Role_Id = T4.Role_Id ORDER BY T3.DOB DESC LIMIT 1",
"SELECT CAST(SUM(CASE WHEN T2.Role_Desc = 'CaptainKeeper' THEN 1 ELSE 0 END) AS REAL) * 100 / TOTAL(T1.Player_Id) FROM Player_Match AS T1 INNER JOIN Rolee AS T2 ON T1.Role_Id = T2.Role_Id",
"SELECT CASE WHEN COUNT(T2.Man_of_the_Match) > 5 THEN T1.Player_Name ELSE 0 END FROM Player AS T1 INNER JOIN Match AS T2 ON T1.Player_Id = T2.Man_of_the_Match INNER JOIN Player_Match AS T3 ON T3.Player_Id = T1.Player_Id INNER JOIN Season AS T4 ON T2.Season_Id = T4.Season_Id WHERE T4.Season_Year = 2008",
"SELECT CAST(SUM(CASE WHEN T1.win_type = 1 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.Win_Type) FROM Match AS T1 INNER JOIN Win_By AS T2 ON T1.Win_Type = T2.Win_Id",
"SELECT AVG(T1.Extra_Runs) FROM Extra_Runs AS T1 INNER JOIN Extra_Type AS T2 ON T1.Extra_Type_Id = T2.Extra_Id WHERE T2.Extra_Name = 'noballs'"
]
}
|
{
"query": "Name the player who is born on July 7, 1981.",
"pos": [
"SELECT Player_name FROM Player WHERE DOB = '1981-07-07'"
],
"neg": [
"SELECT AVG(Innings_No) FROM Extra_Runs WHERE Innings_No = 2",
"SELECT CAST(SUM(CASE WHEN T1.Match_Winner = T2.Team_Id THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.Match_Id) FROM `Match` AS T1 INNER JOIN Team AS T2 ON T1.Team_1 = T2.Team_Id OR T1.Team_2 = T2.Team_Id WHERE T2.Team_Name = 'Mumbai Indians' AND T1.Match_Date LIKE '2009%'",
"SELECT T1.Country_Name FROM Country AS T1 INNER JOIN Umpire AS T2 ON T2.Umpire_Country = T1.Country_Id WHERE T2.Umpire_Name = 'BR Doctrove'",
"SELECT T1.Team_Name FROM Team AS T1 INNER JOIN Match AS T2 ON T1.team_id = T2.match_winner WHERE T2.Win_Margin = 6 AND T2.Match_Date = '2009-04-26'",
"SELECT T3.Role_Desc FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T2.Player_Id = T1.Player_Id INNER JOIN Rolee AS T3 ON T3.Role_Id = T2.Role_Id WHERE T2.Match_Id = 335992 AND T1.Player_Name = 'K Goel'",
"SELECT SUM(CASE WHEN Venue_Name = 'MA Chidambaram Stadium' THEN 1 ELSE 0 END) FROM `Match` AS T1 INNER JOIN Venue AS T2 ON T1.Venue_Id = T2.Venue_Id WHERE Match_Date BETWEEN '2009-05-09' AND '2011-08-08'",
"SELECT T2.Toss_Name, T1.Toss_Decide, T1.Toss_Winner FROM `Match` AS T1 INNER JOIN Toss_Decision AS T2 ON T1.Toss_Decide = T2.Toss_Id WHERE T1.Match_Id = '336011'",
"SELECT Man_of_the_Series FROM Season WHERE 2011 < Season_Year < 2015",
"SELECT COUNT(T1.Match_Winner) FROM `Match` AS T1 INNER JOIN Team AS T2 ON T2.Team_Id = T1.Team_1 OR T2.Team_Id = T1.Team_2 WHERE T2.team_name = 'Delhi Daredevils' AND T1.Match_Date LIKE '2014%'",
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Match AS T3 ON T2.Match_Id = T3.Match_Id WHERE SUBSTR(T3.Match_Date, 1, 4) = '2014' AND SUBSTR(T3.Match_Date, 7, 1) = '6' LIMIT 2"
]
}
|
{
"query": "Write down the name of players whose bowling skill is Legbreak.",
"pos": [
"SELECT T2.Player_Name FROM Bowling_Style AS T1 INNER JOIN Player AS T2 ON T1.Bowling_Id = T2.Bowling_skill WHERE T1.Bowling_skill = 'Legbreak'"
],
"neg": [
"SELECT Country_id FROM City WHERE City_Name = 'East London'",
"SELECT COUNT(*) FROM Player AS T1 INNER JOIN Country AS T2 ON T1.Country_Name = T2.Country_ID WHERE T2.Country_Name = 'Sri Lanka'",
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Batsman_Scored AS T3 ON T2.Match_ID = T3.Match_ID WHERE T3.Runs_Scored < 3 GROUP BY T1.Player_Name",
"SELECT T1.Season_Id FROM `Match` AS T1 INNER JOIN Venue AS T2 ON T1.Venue_Id = T2.Venue_Id WHERE T2.Venue_Name = 'M Chinnaswamy Stadium' GROUP BY T1.Season_Id ORDER BY COUNT(T1.Season_Id) DESC LIMIT 1",
"SELECT Player_Name FROM Player WHERE Player_Id = ( SELECT Man_of_the_Match FROM `Match` ORDER BY match_date ASC LIMIT 1 )",
"SELECT Man_of_the_Series FROM Season WHERE 2011 < Season_Year < 2015",
"SELECT CAST(SUM(CASE WHEN T2.Role_Desc = 'CaptainKeeper' THEN 1 ELSE 0 END) AS REAL) * 100 / TOTAL(T1.Player_Id) FROM Player_Match AS T1 INNER JOIN Rolee AS T2 ON T1.Role_Id = T2.Role_Id",
"SELECT Season_Id FROM `Match` GROUP BY Season_Id ORDER BY COUNT(Match_Id) LIMIT 1",
"SELECT T3.Player_Name FROM Player_Match AS T1 INNER JOIN Rolee AS T2 ON T1.Role_Id = T2.Role_Id INNER JOIN Player AS T3 ON T1.Player_Id = T3.Player_Id WHERE T1.Match_Id = '419117' AND T2.Role_Desc = 'CaptainKeeper'",
"SELECT COUNT(T2.Man_of_the_Match) FROM Player AS T1 INNER JOIN Match AS T2 ON T1.Player_Id = T2.Man_of_the_Match INNER JOIN Player_Match AS T3 ON T3.Player_Id = T1.Player_Id WHERE T1.Player_Name = 'SC Ganguly'"
]
}
|
{
"query": "Give me the match ID and date of the matches that were held in Kingsmead for three consecutive days.",
"pos": [
"SELECT T1.Match_Id, T1.Match_Date FROM `Match` AS T1 INNER JOIN Venue AS T2 ON T1.Venue_Id = T2.Venue_Id WHERE T2.Venue_Name = 'Kingsmead'"
],
"neg": [
"SELECT Player_name FROM Player WHERE DOB = '1981-07-07'",
"SELECT T1.Venue_Name FROM Venue AS T1 INNER JOIN City AS T2 ON T1.City_Id = T2.City_Id WHERE T2.City_Name = 'Abu Dhabi'",
"SELECT T1.Bowling_Skill FROM Bowling_Style AS T1 INNER JOIN Player AS T2 ON T2.Bowling_skill = T1.Bowling_Id GROUP BY T1.Bowling_Skill ORDER BY COUNT(T1.Bowling_Skill) DESC LIMIT 1",
"SELECT COUNT(T1.Runs_Scored) FROM Batsman_Scored AS T1 INNER JOIN Ball_by_Ball AS T2 ON T1.Match_Id = T2.Match_Id INNER JOIN Match AS T3 ON T2.Match_Id = T3.Match_Id INNER JOIN Team AS T4 ON T3.Team_1 = T4.Team_Id WHERE T2.Team_Batting = 1 OR T2.Team_Batting = 2 AND T4.Team_Name = 'Delhi Daredevils'",
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Team AS T3 ON T2.Team_Id = T3.Team_Id WHERE T3.Team_Id = 1 GROUP BY T1.Player_Name",
"SELECT CAST(SUM(CASE WHEN T1.Role_Desc = 'Captain' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.Role_Id) FROM Rolee AS T1 INNER JOIN Player_Match AS T2 ON T2.Role_Id = T1.Role_Id INNER JOIN Player AS T3 ON T3.Player_Id = T2.Player_Id WHERE T3.DOB LIKE '1977%'",
"SELECT COUNT(T1.Match_Id) FROM Match AS T1 INNER JOIN Win_By AS T2 ON T1.Win_Type = T2.Win_Id WHERE T2.Win_type = 'wickets'",
"SELECT SUM(CASE WHEN Toss_Winner = ( SELECT Team_Id FROM Team WHERE Team_Name = 'Sunrisers Hyderabad' ) THEN 1 ELSE 0 END) FROM `Match`",
"SELECT AVG(T1.Extra_Runs) FROM Extra_Runs AS T1 INNER JOIN Extra_Type AS T2 ON T1.Extra_Type_Id = T2.Extra_Id WHERE T2.Extra_Name = 'noballs'",
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Match AS T3 ON T2.Match_Id = T3.Match_Id WHERE SUBSTR(T3.Match_Date, 1, 4) = '2014' AND SUBSTR(T3.Match_Date, 7, 1) = '6' LIMIT 2"
]
}
|
{
"query": "List all Zimbabwean players.",
"pos": [
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Country AS T2 ON T1.Country_Name = T2.Country_Id WHERE T2.Country_Name = 'Zimbabwea'"
],
"neg": [
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Match AS T3 ON T2.Match_Id = T3.Match_Id WHERE SUBSTR(T3.Match_Date, 1, 4) = '2014' AND SUBSTR(T3.Match_Date, 7, 1) = '6' LIMIT 2",
"SELECT T1.Venue_Name FROM Venue AS T1 INNER JOIN Match AS T2 ON T1.venue_id = T2.venue_id WHERE T2.match_id = 829768",
"SELECT T2.Role_Id FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Rolee AS T3 ON T2.Role_Id = T3.Role_Id INNER JOIN Match AS T4 ON T2.Match_Id = T4.Match_Id WHERE T1.Player_Name = 'SC Ganguly' AND T4.Match_Date = '2008-04-18'",
"SELECT SUM(CASE WHEN Runs_Scored > 3 THEN 1 ELSE 0 END) FROM Batsman_Scored WHERE 335989 < Match_Id < 337000 AND Innings_No = 1 AND Over_Id = 1 AND Ball_Id = 1",
"SELECT T1.Match_Id FROM Wicket_Taken AS T1 INNER JOIN Out_Type AS T2 ON T2.Out_Id = T1.Kind_Out WHERE T2.Out_Name = 'hit wicket'",
"SELECT T2.Team_Name FROM Match AS T1 INNER JOIN Team AS T2 ON T2.Team_Id = T1.Team_2 WHERE T1.Team_1 = ( SELECT Team_Id FROM Team WHERE Team_Name = 'Pune Warriors' ) GROUP BY T2.Team_Name",
"SELECT Match_Id FROM Match WHERE Match_Date LIKE '%2015-04-18%'",
"SELECT SUM(CASE WHEN T2.Win_Type != 'runs' THEN 1 ELSE 0 END) FROM `Match` AS T1 INNER JOIN Win_By AS T2 ON T1.Win_Type = T2.Win_Id",
"SELECT SUM(CASE WHEN Match_Id = 548335 THEN 1 ELSE 0 END) FROM Wicket_Taken WHERE Innings_No = 1",
"SELECT T1.Match_Id, T1.Match_Date FROM `Match` AS T1 INNER JOIN Venue AS T2 ON T1.Venue_Id = T2.Venue_Id WHERE T2.Venue_Name = 'Kingsmead'"
]
}
|
{
"query": "Give the name of the youngest player.",
"pos": [
"SELECT Player_Name FROM Player ORDER BY DOB DESC LIMIT 1"
],
"neg": [
"SELECT Ball_Id FROM Ball_by_Ball WHERE Non_Striker = Ball_Id ORDER BY Ball_Id DESC LIMIT 1",
"SELECT AVG(T1.win_margin) FROM Match AS T1 INNER JOIN Venue AS T2 ON T1.venue_id = T2.venue_id WHERE T2.venue_name = 'Newlands'",
"SELECT T2.Player_Name FROM Bowling_Style AS T1 INNER JOIN Player AS T2 ON T1.Bowling_Id = T2.Bowling_skill WHERE T1.Bowling_skill = 'Legbreak'",
"SELECT SUM(Runs_Scored) FROM Batsman_Scored WHERE Match_Id = 335988 AND Innings_No = 2",
"SELECT CAST(SUM(CASE WHEN T2.Role_Desc = 'CaptainKeeper' THEN 1 ELSE 0 END) AS REAL) * 100 / TOTAL(T1.Player_Id) FROM Player_Match AS T1 INNER JOIN Rolee AS T2 ON T1.Role_Id = T2.Role_Id",
"SELECT Player_Id FROM Player ORDER BY Bowling_skill DESC LIMIT 5",
"SELECT SUM(CASE WHEN T1.Innings_No = 2 THEN 1 ELSE 0 END) FROM Wicket_Taken AS T1 INNER JOIN Out_Type AS T2 ON T2.Out_Id = T1.Kind_Out WHERE T2.Out_Name = 'stumped'",
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Season AS T2 ON T1.Player_Id = T2.Purple_Cap ORDER BY T2.Season_Year - SUBSTR(T1.DOB, 1, 4) LIMIT 1",
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Match AS T3 ON T2.Match_Id = T3.Match_Id WHERE SUBSTR(T3.Match_Date, 1, 4) = '2014' AND SUBSTR(T3.Match_Date, 7, 1) = '6' LIMIT 2",
"SELECT SUM(CASE WHEN Match_Date LIKE '2013%' THEN 1 ELSE 0 END) FROM `Match` AS T1 INNER JOIN Team AS T2 ON T1.Match_Winner = T2.Team_Id WHERE T2.Team_Name = 'Sunrisers Hyderabad'"
]
}
|
{
"query": "From which country does the most umpires are from? How many of them are from the mentioned country?\n",
"pos": [
"SELECT T2.Country_Id, COUNT(T1.Umpire_Id) FROM Umpire AS T1 INNER JOIN Country AS T2 ON T2.Country_Id = T1.Umpire_Country GROUP BY T2.Country_Id ORDER BY COUNT(T1.Umpire_Id) DESC LIMIT 1"
],
"neg": [
"SELECT SUM(CASE WHEN SUBSTR(T1.DOB, 1, 4) > 1985 THEN 1 ELSE 0 END) FROM Player AS T1 INNER JOIN Batting_Style AS T2 ON T1.Batting_hand = T2.Batting_Id WHERE T2.Batting_Hand = 'Right-hand bat'",
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Rolee AS T3 ON T2.Role_Id = T3.Role_Id WHERE T3.Role_Desc = 'Keeper' GROUP BY T1.Player_Name",
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Team AS T3 ON T2.Team_Id = T3.Team_Id INNER JOIN Rolee AS T4 ON T2.Role_Id = T4.Role_Id WHERE T3.Team_Name = 'Rising Pune Supergiants' AND T4.Role_Desc = 'CaptainKeeper' GROUP BY T1.Player_Name",
"SELECT T1.Team_Name FROM Team AS T1 INNER JOIN ( SELECT COUNT(Team_1) AS a, Team_1 FROM Match WHERE Team_1 <> Match_Winner GROUP BY Team_1 UNION SELECT COUNT(Team_2) AS a, Team_2 FROM Match WHERE Team_2 <> Match_Winner GROUP BY Team_2 ORDER BY a DESC LIMIT 1 ) AS T2 ON T1.Team_Id = T2.Team_1",
"SELECT Man_of_the_Series FROM Season WHERE 2011 < Season_Year < 2015",
"SELECT COUNT(*) FROM Player AS T1 INNER JOIN Country AS T2 ON T1.Country_Name = T2.Country_ID WHERE T2.Country_Name = 'Sri Lanka'",
"SELECT T2.Player_Name FROM Season AS T1 INNER JOIN Player AS T2 ON T1.Man_of_the_Series = T2.Player_Id WHERE T1.Man_of_the_Series > 1",
"SELECT SUM(CASE WHEN Match_Date LIKE '2013%' THEN 1 ELSE 0 END) FROM `Match` AS T1 INNER JOIN Team AS T2 ON T1.Match_Winner = T2.Team_Id WHERE T2.Team_Name = 'Sunrisers Hyderabad'",
"SELECT T2.Bowling_Skill FROM Player AS T1 INNER JOIN Bowling_Style AS T2 ON T1.Bowling_skill = T2.Bowling_Id INNER JOIN Country AS T3 ON T1.Country_Name = T3.Country_Id WHERE T3.Country_Name = 'Australia' GROUP BY T2.Bowling_Skill",
"SELECT T3.Country_Name FROM Bowling_Style AS T1 INNER JOIN Player AS T2 ON T1.Bowling_Id = T2.Bowling_skill INNER JOIN Country AS T3 ON T2.Country_Name = T3.Country_Id WHERE T1.Bowling_skill = 'Slow left-arm chinaman'"
]
}
|
{
"query": "Among the matches of Delhi Daredevils in 2009, what is the percentage of their matches won by wickets?",
"pos": [
"SELECT CAST(SUM(CASE WHEN T3.Win_Type = 'wickets' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T3.Win_Type) FROM Team AS T1 INNER JOIN Match AS T2 ON T1.Team_Id = T2.Match_Winner INNER JOIN Win_By AS T3 ON T2.Win_Type = T3.Win_Id WHERE T1.Team_Name = 'Delhi Daredevils'"
],
"neg": [
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Team AS T3 ON T2.Team_Id = T3.Team_Id INNER JOIN Rolee AS T4 ON T2.Role_Id = T4.Role_Id WHERE T3.Team_Name = 'Rising Pune Supergiants' AND T4.Role_Desc = 'CaptainKeeper' GROUP BY T1.Player_Name",
"SELECT T2.Team_Name FROM Match AS T1 INNER JOIN Team AS T2 ON T2.Team_Id = T1.Team_2 WHERE T1.Team_1 = ( SELECT Team_Id FROM Team WHERE Team_Name = 'Pune Warriors' ) GROUP BY T2.Team_Name",
"SELECT COUNT(Team_1) FROM `Match` WHERE Team_1 = Toss_Winner AND Toss_Decide = 2",
"SELECT CAST(SUM(CASE WHEN T1.Batting_hand = 'Right-hand bat' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.Player_Id) FROM Batting_Style AS T1 INNER JOIN Player AS T2 ON T2.Batting_hand = T1.Batting_Id",
"SELECT COUNT(Match_Id) FROM Match WHERE Match_Date LIKE '2008%' AND Match_Winner IS NOT NULL",
"SELECT T2.Venue_Name FROM `Match` AS T1 INNER JOIN Venue AS T2 ON T1.Venue_Id = T2.Venue_Id GROUP BY T2.Venue_Name ORDER BY COUNT(T2.Venue_Id) DESC LIMIT 1",
"SELECT T1.Country_Name FROM Country AS T1 INNER JOIN city AS T2 ON T1.Country_Id = T2.Country_Id WHERE city_name = 'Rajkot'",
"SELECT SUM(CASE WHEN T1.Innings_No = 2 THEN 1 ELSE 0 END) FROM Wicket_Taken AS T1 INNER JOIN Out_Type AS T2 ON T2.Out_Id = T1.Kind_Out WHERE T2.Out_Name = 'stumped'",
"SELECT AVG(T1.Extra_Runs) FROM Extra_Runs AS T1 INNER JOIN Extra_Type AS T2 ON T1.Extra_Type_Id = T2.Extra_Id WHERE T2.Extra_Name = 'noballs'",
"SELECT SUM(CASE WHEN Toss_Winner = ( SELECT Team_Id FROM Team WHERE Team_Name = 'Sunrisers Hyderabad' ) THEN 1 ELSE 0 END) FROM `Match`"
]
}
|
{
"query": "List the cities located in U.A.E.",
"pos": [
"SELECT T1.City_Name FROM City AS T1 INNER JOIN Country AS T2 ON T2.Country_Id = T1.Country_id WHERE T2.Country_Name = 'U.A.E'"
],
"neg": [
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Batting_Style AS T2 ON T1.Batting_hand = T2.Batting_Id WHERE T2.Batting_hand = 'Left-hand bat'",
"SELECT AVG(Innings_No) FROM Extra_Runs WHERE Innings_No = 2",
"SELECT COUNT(Match_Id) FROM Match WHERE Match_Date LIKE '2008%' AND Match_Winner IS NOT NULL",
"SELECT T1.Team_Name FROM Team AS T1 INNER JOIN ( SELECT COUNT(Team_1) AS a, Team_1 FROM Match WHERE Team_1 <> Match_Winner GROUP BY Team_1 UNION SELECT COUNT(Team_2) AS a, Team_2 FROM Match WHERE Team_2 <> Match_Winner GROUP BY Team_2 ORDER BY a DESC LIMIT 1 ) AS T2 ON T1.Team_Id = T2.Team_1",
"SELECT T3.Team_Name FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T2.Player_Id = T1.Player_Id INNER JOIN Team AS T3 ON T3.Team_Id = T2.Team_Id WHERE T2.Match_Id = 335990 AND T3.Team_Name = 'Mumbai Indians' GROUP BY T3.Team_Name",
"SELECT SUM(CASE WHEN T2.Venue_Name = 'Newlands' THEN 1 ELSE 0 END) FROM Match AS T1 INNER JOIN Venue AS T2 ON T2.Venue_Id = T1.Venue_Id",
"SELECT T2.Win_Type FROM Match AS T1 INNER JOIN Win_By AS T2 ON T1.Win_Type = T2.Win_Id WHERE T1.Match_Id = 336000",
"SELECT T2.Match_Id FROM Venue AS T1 INNER JOIN Match AS T2 ON T1.venue_id = T2.venue_id WHERE T1.Venue_Name = 'St George''s Park' ORDER BY T2.Win_Margin DESC LIMIT 1",
"SELECT Orange_Cap FROM Season GROUP BY Orange_Cap HAVING COUNT(Season_Year) > 1",
"SELECT T2.Player_Name FROM Season AS T1 INNER JOIN Player AS T2 ON T1.Man_of_the_Series = T2.Player_Id WHERE T1.Man_of_the_Series > 1"
]
}
|
{
"query": "Compute the run rate at the end of 16 overs of the match ID 335999. Please include the name of the \"Man of_the Match\".",
"pos": [
"SELECT CAST(COUNT(CASE WHEN T1.Toss_Name = 'bat' THEN T3.Runs_Scored ELSE NULL END) AS REAL) / SUM(CASE WHEN T1.Toss_Name = 'field' THEN 1 ELSE 0 END) FROM Toss_Decision AS T1 INNER JOIN Match AS T2 ON T1.Toss_Id = T2.Toss_Decide INNER JOIN Batsman_Scored AS T3 ON T2.Match_Id = T3.Match_Id WHERE T2.Match_Id = 335987 AND T2.Match_Date = '2008-04-18' GROUP BY T3.Over_Id HAVING COUNT(T1.Toss_Name = 'field') = 16"
],
"neg": [
"SELECT T2.Team_Name FROM Match AS T1 INNER JOIN Team AS T2 ON T2.Team_Id = T1.Toss_Winner WHERE T1.Match_Id BETWEEN 336010 AND 336020",
"SELECT COUNT(Match_Id) FROM `Match` WHERE Match_Date LIKE '2009%' AND Win_Margin < 10",
"SELECT T3.Country_Name FROM Bowling_Style AS T1 INNER JOIN Player AS T2 ON T1.Bowling_Id = T2.Bowling_skill INNER JOIN Country AS T3 ON T2.Country_Name = T3.Country_Id WHERE T1.Bowling_skill = 'Slow left-arm chinaman'",
"SELECT Orange_Cap FROM Season GROUP BY Orange_Cap HAVING COUNT(Season_Year) > 1",
"SELECT T3.Venue_Name FROM Team AS T1 INNER JOIN Match AS T2 ON T1.Team_Id = T2.Team_1 INNER JOIN Venue AS T3 ON T2.Venue_Id = T3.Venue_Id WHERE T1.Team_Name = 'Kolkata Knight Riders' GROUP BY T3.Venue_Id ORDER BY COUNT(T3.Venue_Id) DESC LIMIT 1",
"SELECT T3.Role_Desc FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T2.Player_Id = T1.Player_Id INNER JOIN Rolee AS T3 ON T3.Role_Id = T2.Role_Id WHERE T2.Match_Id = 335992 AND T1.Player_Name = 'K Goel'",
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Season AS T2 ON T1.Player_Id = T2.Purple_Cap ORDER BY T2.Season_Year - SUBSTR(T1.DOB, 1, 4) LIMIT 1",
"SELECT SUM(CASE WHEN T1.Innings_No = 2 THEN 1 ELSE 0 END) FROM Wicket_Taken AS T1 INNER JOIN Out_Type AS T2 ON T2.Out_Id = T1.Kind_Out WHERE T2.Out_Name = 'stumped'",
"SELECT T3.Role_Desc FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Rolee AS T3 ON T2.Role_Id = T3.Role_Id WHERE T1.Player_Name = 'SC Ganguly' GROUP BY T3.Role_Desc",
"SELECT T2.Player_Name FROM Ball_by_Ball AS T1 INNER JOIN Player AS T2 ON T1.Striker = T2.Player_Id WHERE T1.Match_Id = 419169 AND T1.Over_Id = 3 AND T1.Ball_Id = 2 AND T1.Innings_No = 2"
]
}
|
{
"query": "List the first team's name in the match with the highest winning margin.",
"pos": [
"SELECT T2.Team_Name FROM Match AS T1 INNER JOIN Team AS T2 ON T2.Team_Id = T1.Team_1 ORDER BY T1.Win_Margin DESC LIMIT 1"
],
"neg": [
"SELECT T2.DOB FROM Season AS T1 INNER JOIN Player AS T2 ON T1.Man_of_the_Series = T2.Player_Id WHERE T1.Season_Year = 2014 AND T1.Orange_Cap IS NOT NULL",
"SELECT SUM(CASE WHEN T2.Win_Type != 'runs' THEN 1 ELSE 0 END) FROM `Match` AS T1 INNER JOIN Win_By AS T2 ON T1.Win_Type = T2.Win_Id",
"SELECT T2.Player_Name, T2.DOB FROM Country AS T1 INNER JOIN Player AS T2 ON T2.Country_Name = T1.Country_Id WHERE T2.DOB LIKE '1977%' AND T1.Country_Name = 'England'",
"SELECT COUNT(Player_Id) AS cnt FROM Player WHERE DOB BETWEEN '1990-01-01' AND '1999-12-31'",
"SELECT SUM(CASE WHEN T1.Innings_No = 2 THEN 1 ELSE 0 END) FROM Wicket_Taken AS T1 INNER JOIN Out_Type AS T2 ON T2.Out_Id = T1.Kind_Out WHERE T2.Out_Name = 'stumped'",
"SELECT Player_Name FROM Player WHERE Player_Id = ( SELECT Man_of_the_Match FROM `Match` ORDER BY match_date ASC LIMIT 1 )",
"SELECT T2.Venue_Name FROM `Match` AS T1 INNER JOIN Venue AS T2 ON T1.Venue_Id = T2.Venue_Id GROUP BY T2.Venue_Name ORDER BY COUNT(T2.Venue_Id) DESC LIMIT 1",
"SELECT T2.Match_Id FROM Venue AS T1 INNER JOIN Match AS T2 ON T1.venue_id = T2.venue_id WHERE T1.Venue_Name = 'St George''s Park' ORDER BY T2.Win_Margin DESC LIMIT 1",
"SELECT SUM(CASE WHEN T3.Role_Desc = 'Captain' THEN 1 ELSE 0 END) FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Rolee AS T3 ON T2.Role_Id = T3.Role_Id WHERE T1.Player_Name = 'SC Ganguly'",
"SELECT T1.City_Name FROM City AS T1 INNER JOIN Country AS T2 ON T2.Country_Id = T1.Country_id WHERE T2.Country_Name = 'U.A.E'"
]
}
|
{
"query": "Between match nos. 335989 and 337000, how many times did a batsman score more than 3 runs during over no. 1, ball no. 1, and inning no. 1 of the matches?",
"pos": [
"SELECT SUM(CASE WHEN Runs_Scored > 3 THEN 1 ELSE 0 END) FROM Batsman_Scored WHERE 335989 < Match_Id < 337000 AND Innings_No = 1 AND Over_Id = 1 AND Ball_Id = 1"
],
"neg": [
"SELECT CAST(SUM(CASE WHEN T1.Role_Desc = 'Captain' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.Role_Id) FROM Rolee AS T1 INNER JOIN Player_Match AS T2 ON T2.Role_Id = T1.Role_Id INNER JOIN Player AS T3 ON T3.Player_Id = T2.Player_Id WHERE T3.DOB LIKE '1977%'",
"SELECT Player_name FROM Player WHERE DOB = '1981-07-07'",
"SELECT T1.Season_Id FROM `Match` AS T1 INNER JOIN Venue AS T2 ON T1.Venue_Id = T2.Venue_Id WHERE T2.Venue_Name = 'M Chinnaswamy Stadium' GROUP BY T1.Season_Id ORDER BY COUNT(T1.Season_Id) DESC LIMIT 1",
"SELECT T1.Match_Id FROM Wicket_Taken AS T1 INNER JOIN Out_Type AS T2 ON T2.Out_Id = T1.Kind_Out WHERE T2.Out_Name = 'hit wicket'",
"SELECT Team_Name FROM Team WHERE Team_Id = ( SELECT Match_Winner FROM `Match` WHERE season_Id = 1 GROUP BY Match_Winner ORDER BY COUNT(Match_Winner) DESC LIMIT 1 )",
"SELECT T1.Venue_Name FROM Venue AS T1 INNER JOIN Match AS T2 ON T1.venue_id = T2.venue_id WHERE T2.match_id = 829768",
"SELECT Player_Name FROM Player ORDER BY DOB DESC LIMIT 1",
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Team AS T3 ON T2.Team_Id = T3.Team_Id WHERE T3.Team_Id = 1 GROUP BY T1.Player_Name",
"SELECT CAST(SUM(CASE WHEN T2.Batting_hand = 'Left-hand bat' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.Player_Id) FROM Player AS T1 INNER JOIN Batting_Style AS T2 ON T1.Batting_hand = T2.Batting_Id",
"SELECT T2.Toss_Name, T1.Toss_Decide, T1.Toss_Winner FROM `Match` AS T1 INNER JOIN Toss_Decision AS T2 ON T1.Toss_Decide = T2.Toss_Id WHERE T1.Match_Id = '336011'"
]
}
|
{
"query": "How many Orange Cap awards were won by CH Gayle?",
"pos": [
"SELECT SUM(CASE WHEN T1.Player_Name = 'CH Gayle' THEN 1 ELSE 0 END) AS cnt FROM Player AS T1 INNER JOIN Season AS T2 ON T1.Player_Id = T2.Orange_Cap"
],
"neg": [
"SELECT CAST(COUNT(CASE WHEN T1.Toss_Name = 'bat' THEN T3.Runs_Scored ELSE NULL END) AS REAL) / SUM(CASE WHEN T1.Toss_Name = 'field' THEN 1 ELSE 0 END) FROM Toss_Decision AS T1 INNER JOIN Match AS T2 ON T1.Toss_Id = T2.Toss_Decide INNER JOIN Batsman_Scored AS T3 ON T2.Match_Id = T3.Match_Id WHERE T2.Match_Id = 335987 AND T2.Match_Date = '2008-04-18' GROUP BY T3.Over_Id HAVING COUNT(T1.Toss_Name = 'field') = 16",
"SELECT T3.Role_Desc FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T2.Player_Id = T1.Player_Id INNER JOIN Rolee AS T3 ON T3.Role_Id = T2.Role_Id WHERE T2.Match_Id = 335992 AND T1.Player_Name = 'K Goel'",
"SELECT T2.Player_Name FROM Bowling_Style AS T1 INNER JOIN Player AS T2 ON T1.Bowling_Id = T2.Bowling_skill WHERE T1.Bowling_skill = 'Legbreak'",
"SELECT 2022 - SUBSTR(DOB, 1, 4) FROM Player WHERE Player_Name = 'Ishan Kishan'",
"SELECT T1.Team_Name FROM Team AS T1 INNER JOIN Match AS T2 ON T1.team_id = T2.match_winner WHERE T2.Win_Margin = 6 AND T2.Match_Date = '2009-04-26'",
"SELECT SUM(CASE WHEN Match_Date LIKE '2013%' THEN 1 ELSE 0 END) FROM `Match` AS T1 INNER JOIN Team AS T2 ON T1.Match_Winner = T2.Team_Id WHERE T2.Team_Name = 'Sunrisers Hyderabad'",
"SELECT T1.Match_Id, T1.Match_Date FROM `Match` AS T1 INNER JOIN Venue AS T2 ON T1.Venue_Id = T2.Venue_Id WHERE T2.Venue_Name = 'Kingsmead'",
"SELECT Man_of_the_Series FROM Season WHERE 2011 < Season_Year < 2015",
"SELECT CAST(SUM(CASE WHEN T2.Toss_Name = 'field' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.Toss_Id) FROM Match AS T1 INNER JOIN Toss_Decision AS T2 ON T2.Toss_Id = T1.Toss_Decide WHERE T1.Match_Date BETWEEN '2010-01-01' AND '2016-12-31'",
"SELECT COUNT(Player_Name) FROM Player WHERE Bowling_skill > 2"
]
}
|
{
"query": "Among the players who use the right hand as their batting hand, how many of them were born after 1985?",
"pos": [
"SELECT SUM(CASE WHEN SUBSTR(T1.DOB, 1, 4) > 1985 THEN 1 ELSE 0 END) FROM Player AS T1 INNER JOIN Batting_Style AS T2 ON T1.Batting_hand = T2.Batting_Id WHERE T2.Batting_Hand = 'Right-hand bat'"
],
"neg": [
"SELECT T5.Team_Name FROM Player AS T1 INNER JOIN Match AS T2 ON T1.Player_Id = T2.Man_of_the_Match INNER JOIN Player_Match AS T3 ON T3.Player_Id = T1.Player_Id INNER JOIN Season AS T4 ON T2.Season_Id = T4.Season_Id INNER JOIN Team AS T5 ON T3.Team_Id = T5.Team_Id WHERE T4.Season_Year = 2008 AND T1.Player_Name = 'SC Ganguly' GROUP BY T5.Team_Name",
"SELECT Ball_Id, Runs_Scored, Innings_No FROM Batsman_Scored WHERE Match_Id = 335988 AND Over_Id = 20",
"SELECT T1.Country_Name FROM Country AS T1 INNER JOIN Player AS T2 ON T1.Country_Id = T2.Country_Name GROUP BY T2.Country_Name ORDER BY COUNT(T2.Country_Name) DESC LIMIT 1",
"SELECT COUNT(T1.Match_Id) FROM Match AS T1 INNER JOIN Win_By AS T2 ON T1.Win_Type = T2.Win_Id WHERE T2.Win_type = 'wickets'",
"SELECT T1.Player_Name, T4.Country_Name FROM Player AS T1 INNER JOIN Wicket_Taken AS T2 ON T1.Player_Id = T2.Fielders INNER JOIN Out_Type AS T3 ON T2.Kind_Out = T3.Out_Id INNER JOIN Country AS T4 ON T1.Country_Name = T4.Country_Id GROUP BY T1.Player_Name ORDER BY COUNT(T3.Out_Name) ASC",
"SELECT T2.match_id FROM Team AS T1 INNER JOIN Match AS T2 ON T1.team_id = T2.match_winner WHERE T1.team_name = 'Royal Challengers Bangalore' AND T2.match_date LIKE '2012%' ORDER BY T2.win_margin DESC LIMIT 1",
"SELECT T3.Role_Desc FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T2.Player_Id = T1.Player_Id INNER JOIN Rolee AS T3 ON T3.Role_Id = T2.Role_Id WHERE T2.Match_Id = 335992 AND T1.Player_Name = 'K Goel'",
"SELECT CAST(SUM(CASE WHEN T1.win_type = 1 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.Win_Type) FROM Match AS T1 INNER JOIN Win_By AS T2 ON T1.Win_Type = T2.Win_Id",
"SELECT COUNT(Match_Id) FROM `Match` WHERE Man_of_the_Match = 41",
"SELECT 2022 - SUBSTR(DOB, 1, 4) FROM Player WHERE Player_Name = 'Ishan Kishan'"
]
}
|
{
"query": "How many first teams chose to bat after winning the toss?",
"pos": [
"SELECT COUNT(Team_1) FROM `Match` WHERE Team_1 = Toss_Winner AND Toss_Decide = 2"
],
"neg": [
"SELECT CAST(SUM(CASE WHEN 1 < Over_Id AND Over_Id < 25 THEN 1 ELSE 0 END) AS REAL) * 100 / SUM(Runs_Scored) FROM Batsman_Scored WHERE Innings_No = 1",
"SELECT T1.Match_Date FROM `Match` AS T1 INNER JOIN Team AS T2 ON T1.Match_Winner = T2.Team_Id WHERE T2.Team_Name = 'Sunrisers Hyderabad'",
"SELECT COUNT(T1.Player_Id) FROM Player AS T1 INNER JOIN Country AS T2 ON T1.Country_Name = T2.Country_ID WHERE T2.Country_Name = 'India'",
"SELECT T2.Team_Name FROM Match AS T1 INNER JOIN Team AS T2 ON T2.Team_Id = T1.Toss_Winner WHERE T1.Match_Id BETWEEN 336010 AND 336020",
"SELECT CAST(SUM(CASE WHEN T2.Batting_hand = 'Left-hand bat' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.Player_Id) FROM Player AS T1 INNER JOIN Batting_Style AS T2 ON T1.Batting_hand = T2.Batting_Id",
"SELECT T3.Player_Name FROM Player_Match AS T1 INNER JOIN Rolee AS T2 ON T1.Role_Id = T2.Role_Id INNER JOIN Player AS T3 ON T1.Player_Id = T3.Player_Id WHERE T1.Match_Id = '419117' AND T2.Role_Desc = 'CaptainKeeper'",
"SELECT CAST(COUNT(CASE WHEN T1.Toss_Name = 'bat' THEN T3.Runs_Scored ELSE NULL END) AS REAL) / SUM(CASE WHEN T1.Toss_Name = 'field' THEN 1 ELSE 0 END) FROM Toss_Decision AS T1 INNER JOIN Match AS T2 ON T1.Toss_Id = T2.Toss_Decide INNER JOIN Batsman_Scored AS T3 ON T2.Match_Id = T3.Match_Id WHERE T2.Match_Id = 335987 AND T2.Match_Date = '2008-04-18' GROUP BY T3.Over_Id HAVING COUNT(T1.Toss_Name = 'field') = 17",
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Team AS T3 ON T2.Team_Id = T3.Team_Id WHERE T3.Team_Id = 1 GROUP BY T1.Player_Name",
"SELECT SUM(CASE WHEN T2.Country_Name = 'U.A.E' THEN 1 ELSE 0 END) FROM City AS T1 INNER JOIN country AS T2 ON T1.Country_id = T2.Country_id",
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Match AS T2 ON T1.Player_Id = T2.Man_of_the_Match INNER JOIN Player_Match AS T3 ON T3.Player_Id = T1.Player_Id INNER JOIN Season AS T4 ON T2.Season_Id = T4.Season_Id WHERE T4.Season_Year = 2008 GROUP BY T1.Player_Name"
]
}
|
{
"query": "What are the average extra runs given in the second innings of every match?",
"pos": [
"SELECT AVG(Innings_No) FROM Extra_Runs WHERE Innings_No = 2"
],
"neg": [
"SELECT SUM(CASE WHEN Toss_Winner = ( SELECT Team_Id FROM Team WHERE Team_Name = 'Sunrisers Hyderabad' ) THEN 1 ELSE 0 END) FROM `Match`",
"SELECT SUM(CASE WHEN Match_Date LIKE '2013%' THEN 1 ELSE 0 END) FROM `Match` AS T1 INNER JOIN Team AS T2 ON T1.Match_Winner = T2.Team_Id WHERE T2.Team_Name = 'Sunrisers Hyderabad'",
"SELECT T3.Venue_Name FROM Team AS T1 INNER JOIN Match AS T2 ON T1.Team_Id = T2.Team_1 INNER JOIN Venue AS T3 ON T2.Venue_Id = T3.Venue_Id WHERE T1.Team_Name = 'Kolkata Knight Riders' GROUP BY T3.Venue_Id ORDER BY COUNT(T3.Venue_Id) DESC LIMIT 1",
"SELECT T2.Venue_Name FROM `Match` AS T1 INNER JOIN Venue AS T2 ON T1.Venue_Id = T2.Venue_Id GROUP BY T2.Venue_Name ORDER BY COUNT(T2.Venue_Id) DESC LIMIT 1",
"SELECT COUNT(Player_Name) FROM Player WHERE Bowling_skill > 2",
"SELECT Country_id FROM City WHERE City_Name = 'East London'",
"SELECT T3.Team_Name FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T2.Player_Id = T1.Player_Id INNER JOIN Team AS T3 ON T3.Team_Id = T2.Team_Id WHERE T2.Match_Id = 335990 AND T3.Team_Name = 'Mumbai Indians' GROUP BY T3.Team_Name",
"SELECT Player_Name FROM Player ORDER BY DOB DESC LIMIT 1",
"SELECT T1.Country_Name FROM Country AS T1 INNER JOIN Umpire AS T2 ON T2.Umpire_Country = T1.Country_Id WHERE T2.Umpire_Name = 'BR Doctrove'",
"SELECT T1.Umpire_Name, T1.Umpire_Id FROM Umpire AS T1 INNER JOIN Country AS T2 ON T1.Umpire_Country = T2.Country_Id WHERE T2.Country_Name = 'England'"
]
}
|
{
"query": "List the names of players who played as a keeper.",
"pos": [
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Rolee AS T3 ON T2.Role_Id = T3.Role_Id WHERE T3.Role_Desc = 'Keeper' GROUP BY T1.Player_Name"
],
"neg": [
"SELECT DOB FROM Player GROUP BY DOB ORDER BY COUNT(DOB) DESC LIMIT 1",
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Match AS T2 ON T1.Player_Id = T2.Man_of_the_Match INNER JOIN Player_Match AS T3 ON T3.Player_Id = T1.Player_Id INNER JOIN Season AS T4 ON T2.Season_Id = T4.Season_Id WHERE T4.Season_Year = 2008 GROUP BY T1.Player_Name",
"SELECT SUM(CASE WHEN T2.Country_Name = 'India' THEN 1 ELSE 0 END) FROM City AS T1 INNER JOIN Country AS T2 ON T1.Country_Id = T2.Country_Id",
"SELECT T2.City_Name FROM Venue AS T1 INNER JOIN City AS T2 ON T1.City_Id = T2.City_Id WHERE T1.Venue_Name LIKE 'St George%'",
"SELECT Player_name FROM Player WHERE DOB LIKE '1971%'",
"SELECT T2.Player_Name FROM Bowling_Style AS T1 INNER JOIN Player AS T2 ON T1.Bowling_Id = T2.Bowling_skill WHERE T1.Bowling_skill = 'Legbreak'",
"SELECT COUNT(Match_Id) FROM `Match` WHERE SUBSTR(Match_Date, 1, 4) = '2008' AND SUBSTR(Match_Date, 7, 1) = '5'",
"SELECT T1.Venue_Name, T2.City_Name, T3.Country_Name FROM Venue AS T1 INNER JOIN City AS T2 ON T1.City_Id = T2.City_Id INNER JOIN Country AS T3 ON T2.Country_Id = T3.Country_Id INNER JOIN Match AS T4 ON T1.Venue_Id = T4.Venue_Id ORDER BY T4.Match_Date DESC LIMIT 1",
"SELECT SUM(CASE WHEN Venue_Name = 'MA Chidambaram Stadium' THEN 1 ELSE 0 END) FROM `Match` AS T1 INNER JOIN Venue AS T2 ON T1.Venue_Id = T2.Venue_Id WHERE Match_Date BETWEEN '2009-05-09' AND '2011-08-08'",
"SELECT SUM(Runs_Scored) FROM Batsman_Scored WHERE Match_Id = 335988 AND Innings_No = 2"
]
}
|
{
"query": "How many players are Indians?",
"pos": [
"SELECT COUNT(T1.Player_Id) FROM Player AS T1 INNER JOIN Country AS T2 ON T1.Country_Name = T2.Country_ID WHERE T2.Country_Name = 'India'"
],
"neg": [
"SELECT SUM(CASE WHEN Venue_Name = 'MA Chidambaram Stadium' THEN 1 ELSE 0 END) FROM `Match` AS T1 INNER JOIN Venue AS T2 ON T1.Venue_Id = T2.Venue_Id WHERE Match_Date BETWEEN '2009-05-09' AND '2011-08-08'",
"SELECT Orange_Cap FROM Season GROUP BY Orange_Cap HAVING COUNT(Season_Year) > 1",
"SELECT COUNT(T2.Man_of_the_Match) FROM Player AS T1 INNER JOIN Match AS T2 ON T1.Player_Id = T2.Man_of_the_Match INNER JOIN Player_Match AS T3 ON T3.Player_Id = T1.Player_Id WHERE T1.Player_Name = 'SC Ganguly'",
"SELECT T1.Match_Id, T1.Match_Date FROM `Match` AS T1 INNER JOIN Venue AS T2 ON T1.Venue_Id = T2.Venue_Id WHERE T2.Venue_Name = 'Kingsmead'",
"SELECT T1.Country_Name FROM Country AS T1 INNER JOIN Player AS T2 ON T2.Country_Name = T1.Country_Id WHERE T2.Country_Name IS NOT NULL ORDER BY T2.DOB LIMIT 1",
"SELECT CAST(SUM(CASE WHEN T2.Bowling_skill = ' Legbreak' THEN 1 ELSE 0 END) AS REAL) * 100 / TOTAL(T1.Player_Id) FROM Player AS T1 INNER JOIN Bowling_Style AS T2 ON T1.Bowling_skill = T2.Bowling_Id",
"SELECT T2.Player_Name FROM Season AS T1 INNER JOIN Player AS T2 ON T1.Man_of_the_Series = T2.Player_Id WHERE T1.Season_Year = 2013",
"SELECT Match_Date FROM `Match` ORDER BY Win_Margin DESC LIMIT 1",
"SELECT AVG(Innings_No) FROM Extra_Runs WHERE Innings_No = 2",
"SELECT T1.Team_Name FROM Team AS T1 INNER JOIN Match AS T2 ON T1.team_id = T2.match_winner INNER JOIN Win_By AS T3 ON T2.win_type = T3.win_id WHERE T2.Match_Id = 419135"
]
}
|
{
"query": "Calculate the run rate at the end of 17 overs of the match ID 335987 on 4/18/2008.",
"pos": [
"SELECT CAST(COUNT(CASE WHEN T1.Toss_Name = 'bat' THEN T3.Runs_Scored ELSE NULL END) AS REAL) / SUM(CASE WHEN T1.Toss_Name = 'field' THEN 1 ELSE 0 END) FROM Toss_Decision AS T1 INNER JOIN Match AS T2 ON T1.Toss_Id = T2.Toss_Decide INNER JOIN Batsman_Scored AS T3 ON T2.Match_Id = T3.Match_Id WHERE T2.Match_Id = 335987 AND T2.Match_Date = '2008-04-18' GROUP BY T3.Over_Id HAVING COUNT(T1.Toss_Name = 'field') = 17"
],
"neg": [
"SELECT Player_Name FROM Player ORDER BY DOB DESC LIMIT 1",
"SELECT T3.Role_Desc FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T2.Player_Id = T1.Player_Id INNER JOIN Rolee AS T3 ON T3.Role_Id = T2.Role_Id WHERE T2.Match_Id = 335992 AND T1.Player_Name = 'K Goel'",
"SELECT CAST(SUM(CASE WHEN T2.Batting_hand = 'Left-hand bat' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.Player_Id) FROM Player AS T1 INNER JOIN Batting_Style AS T2 ON T1.Batting_hand = T2.Batting_Id",
"SELECT CASE WHEN COUNT(T2.Man_of_the_Match) > 5 THEN T1.Player_Name ELSE 0 END FROM Player AS T1 INNER JOIN Match AS T2 ON T1.Player_Id = T2.Man_of_the_Match INNER JOIN Player_Match AS T3 ON T3.Player_Id = T1.Player_Id INNER JOIN Season AS T4 ON T2.Season_Id = T4.Season_Id WHERE T4.Season_Year = 2008",
"SELECT T2.Player_Name FROM Season AS T1 INNER JOIN Player AS T2 ON T1.Man_of_the_Series = T2.Player_Id WHERE T1.Season_Year = 2013",
"SELECT T2.Player_Name FROM Bowling_Style AS T1 INNER JOIN Player AS T2 ON T1.Bowling_Id = T2.Bowling_skill WHERE T1.Bowling_skill = 'Legbreak'",
"SELECT COUNT(Match_Id) FROM Match WHERE Match_Date LIKE '2008%' AND Match_Winner IS NOT NULL",
"SELECT T1.Match_Date FROM `Match` AS T1 INNER JOIN Team AS T2 ON T1.Match_Winner = T2.Team_Id WHERE T2.Team_Name = 'Sunrisers Hyderabad'",
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Match AS T3 ON T2.Match_Id = T3.Match_Id WHERE SUBSTR(T3.Match_Date, 1, 4) = '2014' AND SUBSTR(T3.Match_Date, 7, 1) = '6' LIMIT 2",
"SELECT AVG(T1.win_margin) FROM Match AS T1 INNER JOIN Venue AS T2 ON T1.venue_id = T2.venue_id WHERE T2.venue_name = 'Newlands'"
]
}
|
{
"query": "What is the percentage of matches that are won by runs?",
"pos": [
"SELECT CAST(SUM(CASE WHEN T1.win_type = 1 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.Win_Type) FROM Match AS T1 INNER JOIN Win_By AS T2 ON T1.Win_Type = T2.Win_Id"
],
"neg": [
"SELECT T1.Match_Date, T4.Role_Desc FROM `Match` AS T1 INNER JOIN Player_Match AS T2 ON T1.Match_Id = T2.Match_Id INNER JOIN Player AS T3 ON T2.Player_Id = T3.Player_Id INNER JOIN Rolee AS T4 ON T2.Role_Id = T4.Role_Id ORDER BY T3.DOB DESC LIMIT 1",
"SELECT CAST(SUM(CASE WHEN T2.Bowling_skill = ' Legbreak' THEN 1 ELSE 0 END) AS REAL) * 100 / TOTAL(T1.Player_Id) FROM Player AS T1 INNER JOIN Bowling_Style AS T2 ON T1.Bowling_skill = T2.Bowling_Id",
"SELECT SUM(CASE WHEN SUBSTR(T1.DOB, 1, 4) > 1985 THEN 1 ELSE 0 END) FROM Player AS T1 INNER JOIN Batting_Style AS T2 ON T1.Batting_hand = T2.Batting_Id WHERE T2.Batting_Hand = 'Right-hand bat'",
"SELECT T2.Player_Name FROM Season AS T1 INNER JOIN Player AS T2 ON T1.Man_of_the_Series = T2.Player_Id WHERE T1.Season_Year = 2013",
"SELECT COUNT(Player_Name) FROM Player WHERE Bowling_skill > 2",
"SELECT SUM(CASE WHEN T1.Innings_No = 2 THEN 1 ELSE 0 END) FROM Wicket_Taken AS T1 INNER JOIN Out_Type AS T2 ON T2.Out_Id = T1.Kind_Out WHERE T2.Out_Name = 'stumped'",
"SELECT COUNT(T1.Player_Id) FROM Player AS T1 INNER JOIN Bowling_Style AS T2 ON T1.Bowling_skill = T2.Bowling_Id WHERE T2.Bowling_skill = 'Left-arm fast'",
"SELECT T2.Player_Name, T2.DOB FROM Country AS T1 INNER JOIN Player AS T2 ON T2.Country_Name = T1.Country_Id WHERE T2.DOB LIKE '1977%' AND T1.Country_Name = 'England'",
"SELECT COUNT(*) FROM Player AS T1 INNER JOIN Country AS T2 ON T1.Country_Name = T2.Country_ID WHERE T2.Country_Name = 'Sri Lanka'",
"SELECT SUM(CASE WHEN Runs_Scored > 3 THEN 1 ELSE 0 END) FROM Batsman_Scored WHERE 335989 < Match_Id < 337000 AND Innings_No = 1 AND Over_Id = 1 AND Ball_Id = 1"
]
}
|
{
"query": "Which is the country of the city named \"Rajkot\"?",
"pos": [
"SELECT T1.Country_Name FROM Country AS T1 INNER JOIN city AS T2 ON T1.Country_Id = T2.Country_Id WHERE city_name = 'Rajkot'"
],
"neg": [
"SELECT SUM(CASE WHEN T2.Team_Name = 'Pune Warriors' THEN 1 ELSE 0 END) FROM Match AS T1 INNER JOIN Team AS T2 ON T2.Team_Id = T1.Match_Winner",
"SELECT COUNT(*) FROM Player WHERE DOB < '1975-10-16' AND Bowling_skill < 3",
"SELECT T1.Bowling_Skill FROM Bowling_Style AS T1 INNER JOIN Player AS T2 ON T2.Bowling_skill = T1.Bowling_Id GROUP BY T1.Bowling_Skill ORDER BY COUNT(T1.Bowling_Skill) DESC LIMIT 1",
"SELECT T1.DOB, T3.Role_Desc FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Rolee AS T3 ON T2.Role_Id = T3.Role_Id WHERE T1.Player_Name = 'R Dravid' GROUP BY T1.DOB, T3.Role_Desc",
"SELECT CAST(SUM(CASE WHEN T2.Batting_hand = 'Left-hand bat' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.Player_Id) FROM Player AS T1 INNER JOIN Batting_Style AS T2 ON T1.Batting_hand = T2.Batting_Id",
"SELECT Player_name FROM Player WHERE DOB = '1981-07-07'",
"SELECT COUNT(Match_Id) FROM Match WHERE Match_Date LIKE '2008%' AND Match_Winner IS NOT NULL",
"SELECT Player_name FROM Player WHERE DOB LIKE '1971%'",
"SELECT T3.Role_Desc FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T2.Player_Id = T1.Player_Id INNER JOIN Rolee AS T3 ON T3.Role_Id = T2.Role_Id WHERE T2.Match_Id = 335992 AND T1.Player_Name = 'K Goel'",
"SELECT T1.Match_Date, T4.Role_Desc FROM `Match` AS T1 INNER JOIN Player_Match AS T2 ON T1.Match_Id = T2.Match_Id INNER JOIN Player AS T3 ON T2.Player_Id = T3.Player_Id INNER JOIN Rolee AS T4 ON T2.Role_Id = T4.Role_Id ORDER BY T3.DOB DESC LIMIT 1"
]
}
|
{
"query": "What are the names of players who had been man of the match more than 5 times in season year 2008?",
"pos": [
"SELECT CASE WHEN COUNT(T2.Man_of_the_Match) > 5 THEN T1.Player_Name ELSE 0 END FROM Player AS T1 INNER JOIN Match AS T2 ON T1.Player_Id = T2.Man_of_the_Match INNER JOIN Player_Match AS T3 ON T3.Player_Id = T1.Player_Id INNER JOIN Season AS T4 ON T2.Season_Id = T4.Season_Id WHERE T4.Season_Year = 2008"
],
"neg": [
"SELECT Player_name FROM Player WHERE DOB = '1981-07-07'",
"SELECT Match_Id FROM Match WHERE Match_Date LIKE '%2015-04-18%'",
"SELECT Country_id FROM City WHERE City_Name = 'East London'",
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Match AS T2 ON T1.Player_Id = T2.Man_of_the_Match GROUP BY T2.Man_of_the_Match ORDER BY COUNT(T2.Man_of_the_Match) DESC LIMIT 1",
"SELECT T2.Role_Id FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Rolee AS T3 ON T2.Role_Id = T3.Role_Id INNER JOIN Match AS T4 ON T2.Match_Id = T4.Match_Id WHERE T1.Player_Name = 'SC Ganguly' AND T4.Match_Date = '2008-04-18'",
"SELECT T1.City_Name FROM City AS T1 INNER JOIN Venue AS T2 ON T2.City_Id = T1.City_Id WHERE T2.Venue_Name = 'M Chinnaswamy Stadium'",
"SELECT COUNT(Player_Name) FROM Player WHERE Bowling_skill > 2",
"SELECT T1.Team_Name FROM Team AS T1 INNER JOIN Match AS T2 ON T1.team_id = T2.match_winner WHERE T2.Win_Margin = 6 AND T2.Match_Date = '2009-04-26'",
"SELECT T2.Match_Id FROM Venue AS T1 INNER JOIN Match AS T2 ON T1.venue_id = T2.venue_id WHERE T1.Venue_Name = 'St George''s Park' ORDER BY T2.Win_Margin DESC LIMIT 1",
"SELECT T1.DOB, T3.Role_Desc FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Rolee AS T3 ON T2.Role_Id = T3.Role_Id WHERE T1.Player_Name = 'R Dravid' GROUP BY T1.DOB, T3.Role_Desc"
]
}
|
{
"query": "List down names of teams that have played as second team against Pune Warriors.",
"pos": [
"SELECT T2.Team_Name FROM Match AS T1 INNER JOIN Team AS T2 ON T2.Team_Id = T1.Team_2 WHERE T1.Team_1 = ( SELECT Team_Id FROM Team WHERE Team_Name = 'Pune Warriors' ) GROUP BY T2.Team_Name"
],
"neg": [
"SELECT CAST(SUM(CASE WHEN T2.Role_Desc = 'CaptainKeeper' THEN 1 ELSE 0 END) AS REAL) * 100 / TOTAL(T1.Player_Id) FROM Player_Match AS T1 INNER JOIN Rolee AS T2 ON T1.Role_Id = T2.Role_Id",
"SELECT SUM(CASE WHEN T2.Country_Name = 'India' THEN 1 ELSE 0 END) FROM City AS T1 INNER JOIN Country AS T2 ON T1.Country_Id = T2.Country_Id",
"SELECT T2.Role_Id FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Rolee AS T3 ON T2.Role_Id = T3.Role_Id INNER JOIN Match AS T4 ON T2.Match_Id = T4.Match_Id WHERE T1.Player_Name = 'SC Ganguly' AND T4.Match_Date = '2008-04-18'",
"SELECT Player_Name FROM Player ORDER BY DOB DESC LIMIT 1",
"SELECT CAST(SUM(CASE WHEN T1.Batting_hand = 'Right-hand bat' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.Player_Id) FROM Batting_Style AS T1 INNER JOIN Player AS T2 ON T2.Batting_hand = T1.Batting_Id",
"SELECT 2022 - SUBSTR(DOB, 1, 4) FROM Player WHERE Player_Name = 'Ishan Kishan'",
"SELECT T3.Player_Name FROM Player_Match AS T1 INNER JOIN Rolee AS T2 ON T1.Role_Id = T2.Role_Id INNER JOIN Player AS T3 ON T1.Player_Id = T3.Player_Id WHERE T1.Match_Id = '419117' AND T2.Role_Desc = 'CaptainKeeper'",
"SELECT T1.Country_Name FROM Country AS T1 INNER JOIN Umpire AS T2 ON T2.Umpire_Country = T1.Country_Id WHERE T2.Umpire_Name = 'BR Doctrove'",
"SELECT T3.Country_Name FROM Bowling_Style AS T1 INNER JOIN Player AS T2 ON T1.Bowling_Id = T2.Bowling_skill INNER JOIN Country AS T3 ON T2.Country_Name = T3.Country_Id WHERE T1.Bowling_skill = 'Slow left-arm chinaman'",
"SELECT COUNT(Player_Name) FROM Player WHERE DOB LIKE '198%' AND Bowling_skill = 2"
]
}
|
{
"query": "In the match ID 419135, who won by runs?",
"pos": [
"SELECT T1.Team_Name FROM Team AS T1 INNER JOIN Match AS T2 ON T1.team_id = T2.match_winner INNER JOIN Win_By AS T3 ON T2.win_type = T3.win_id WHERE T2.Match_Id = 419135"
],
"neg": [
"SELECT T2.Player_Name FROM Ball_by_Ball AS T1 INNER JOIN Player AS T2 ON T1.Striker = T2.Player_Id WHERE T1.Match_Id = 419169 AND T1.Over_Id = 3 AND T1.Ball_Id = 2 AND T1.Innings_No = 2",
"SELECT T2.Match_Id FROM Venue AS T1 INNER JOIN Match AS T2 ON T1.venue_id = T2.venue_id WHERE T1.Venue_Name = 'St George''s Park' ORDER BY T2.Win_Margin DESC LIMIT 1",
"SELECT T2.Team_Name FROM Match AS T1 INNER JOIN Team AS T2 ON T2.Team_Id = T1.Team_1 ORDER BY T1.Win_Margin DESC LIMIT 1",
"SELECT COUNT(*) FROM Player WHERE DOB < '1975-10-16' AND Bowling_skill < 3",
"SELECT SUM(CASE WHEN Match_Date LIKE '2010-03%' THEN 1 ELSE 0 END) FROM `Match`",
"SELECT Player_name FROM Player WHERE DOB LIKE '1971%'",
"SELECT Man_of_the_Series FROM Season WHERE 2011 < Season_Year < 2015",
"SELECT Match_Date FROM `Match` ORDER BY Win_Margin DESC LIMIT 1",
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Batsman_Scored AS T3 ON T2.Match_ID = T3.Match_ID WHERE T3.Runs_Scored < 3 GROUP BY T1.Player_Name",
"SELECT Player_Id FROM Player ORDER BY Bowling_skill DESC LIMIT 5"
]
}
|
{
"query": "Give the date of birth of the 2014 Orange Cap winner.",
"pos": [
"SELECT T2.DOB FROM Season AS T1 INNER JOIN Player AS T2 ON T1.Man_of_the_Series = T2.Player_Id WHERE T1.Season_Year = 2014 AND T1.Orange_Cap IS NOT NULL"
],
"neg": [
"SELECT T3.Role_Desc FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T2.Player_Id = T1.Player_Id INNER JOIN Rolee AS T3 ON T3.Role_Id = T2.Role_Id WHERE T2.Match_Id = 335992 AND T1.Player_Name = 'K Goel'",
"SELECT T2.Venue_Name FROM `Match` AS T1 INNER JOIN Venue AS T2 ON T1.Venue_Id = T2.Venue_Id GROUP BY T2.Venue_Name ORDER BY COUNT(T2.Venue_Id) DESC LIMIT 1",
"SELECT Country_id FROM City WHERE City_Name = 'East London'",
"SELECT Ball_Id FROM Ball_by_Ball WHERE Non_Striker = Ball_Id ORDER BY Ball_Id DESC LIMIT 1",
"SELECT COUNT(*) FROM Player AS T1 INNER JOIN Country AS T2 ON T1.Country_Name = T2.Country_ID WHERE T2.Country_Name = 'Sri Lanka'",
"SELECT COUNT(Match_Id) FROM Match WHERE Match_Date LIKE '2008%' AND Match_Winner IS NOT NULL",
"SELECT T1.Team_Name FROM Team AS T1 INNER JOIN Match AS T2 ON T1.Team_Id = T2.Team_1 OR T1.Team_Id = T2.Team_2 INNER JOIN Win_By AS T3 ON T2.Win_Type = T3.Win_Id WHERE SUBSTR(T2.Match_Date, 1, 4) = '2015' AND T3.Win_Type = 'Tie' LIMIT 1",
"SELECT AVG(T1.win_margin) FROM Match AS T1 INNER JOIN Venue AS T2 ON T1.venue_id = T2.venue_id WHERE T2.venue_name = 'Newlands'",
"SELECT T1.City_Name FROM City AS T1 INNER JOIN Venue AS T2 ON T2.City_Id = T1.City_Id WHERE T2.Venue_Name = 'M Chinnaswamy Stadium'",
"SELECT SUM(CASE WHEN T2.Country_Name = 'India' THEN 1 ELSE 0 END) FROM City AS T1 INNER JOIN Country AS T2 ON T1.Country_Id = T2.Country_Id"
]
}
|
{
"query": "List the players' names who were born in 1971.",
"pos": [
"SELECT Player_name FROM Player WHERE DOB LIKE '1971%'"
],
"neg": [
"SELECT T1.Venue_Name, T2.City_Name, T3.Country_Name FROM Venue AS T1 INNER JOIN City AS T2 ON T1.City_Id = T2.City_Id INNER JOIN Country AS T3 ON T2.Country_Id = T3.Country_Id INNER JOIN Match AS T4 ON T1.Venue_Id = T4.Venue_Id ORDER BY T4.Match_Date DESC LIMIT 1",
"SELECT T2.Venue_Name FROM `Match` AS T1 INNER JOIN Venue AS T2 ON T1.Venue_Id = T2.Venue_Id GROUP BY T2.Venue_Name ORDER BY COUNT(T2.Venue_Id) DESC LIMIT 1",
"SELECT SUM(CASE WHEN Team_1 = 10 OR Team_2 = 10 THEN 1 ELSE 0 END) FROM `Match` WHERE SUBSTR(Match_Date, 1, 4) = '2012'",
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Season AS T2 ON T1.Player_Id = T2.Man_of_the_Series = T2.Orange_Cap",
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Batsman_Scored AS T3 ON T2.Match_ID = T3.Match_ID WHERE T3.Runs_Scored < 3 GROUP BY T1.Player_Name",
"SELECT T2.Batting_hand FROM Player AS T1 INNER JOIN Batting_Style AS T2 ON T1.Batting_hand = T2.Batting_Id WHERE T1.Player_Name = 'MK Pandey'",
"SELECT SUM(CASE WHEN T3.Role_Desc = 'Captain' THEN 1 ELSE 0 END) FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Rolee AS T3 ON T2.Role_Id = T3.Role_Id WHERE T1.Player_Name = 'SC Ganguly'",
"SELECT SUM(CASE WHEN Match_Date LIKE '2010-03%' THEN 1 ELSE 0 END) FROM `Match`",
"SELECT T1.DOB, T3.Role_Desc FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Rolee AS T3 ON T2.Role_Id = T3.Role_Id WHERE T1.Player_Name = 'R Dravid' GROUP BY T1.DOB, T3.Role_Desc",
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Match AS T2 ON T1.Player_Id = T2.Man_of_the_Match INNER JOIN Player_Match AS T3 ON T3.Player_Id = T1.Player_Id INNER JOIN Season AS T4 ON T2.Season_Id = T4.Season_Id WHERE T4.Season_Year = 2008 GROUP BY T1.Player_Name"
]
}
|
{
"query": "In how many games in which the batting team was the Delhi Daredevils were no runs scored?",
"pos": [
"SELECT COUNT(T1.Runs_Scored) FROM Batsman_Scored AS T1 INNER JOIN Ball_by_Ball AS T2 ON T1.Match_Id = T2.Match_Id INNER JOIN Match AS T3 ON T2.Match_Id = T3.Match_Id INNER JOIN Team AS T4 ON T3.Team_1 = T4.Team_Id WHERE T2.Team_Batting = 1 OR T2.Team_Batting = 2 AND T4.Team_Name = 'Delhi Daredevils'"
],
"neg": [
"SELECT COUNT(Player_Name) FROM Player WHERE Bowling_skill > 2",
"SELECT T2.Venue_Name FROM Match AS T1 INNER JOIN Venue AS T2 ON T2.Venue_Id = T1.Venue_Id WHERE T1.Season_Id = 2 GROUP BY T2.Venue_Name",
"SELECT T2.Team_Name FROM Match AS T1 INNER JOIN Team AS T2 ON T2.Team_Id = T1.Team_2 WHERE T1.Team_1 = ( SELECT Team_Id FROM Team WHERE Team_Name = 'Pune Warriors' ) GROUP BY T2.Team_Name",
"SELECT SUM(CASE WHEN T1.Player_Name = 'CH Gayle' THEN 1 ELSE 0 END) AS cnt FROM Player AS T1 INNER JOIN Season AS T2 ON T1.Player_Id = T2.Orange_Cap",
"SELECT Orange_Cap FROM Season GROUP BY Orange_Cap HAVING COUNT(Season_Year) > 1",
"SELECT T2.Win_Type FROM Match AS T1 INNER JOIN Win_By AS T2 ON T1.Win_Type = T2.Win_Id WHERE T1.Match_Id = 336000",
"SELECT T2.Country_Name FROM Player AS T1 INNER JOIN Country AS T2 ON T1.Country_Name = T2.Country_ID WHERE T1.Player_Name = 'SB Joshi'",
"SELECT T2.Role_Id FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Rolee AS T3 ON T2.Role_Id = T3.Role_Id INNER JOIN Match AS T4 ON T2.Match_Id = T4.Match_Id WHERE T1.Player_Name = 'SC Ganguly' AND T4.Match_Date = '2008-04-18'",
"SELECT SUM(CASE WHEN Venue_Name = 'MA Chidambaram Stadium' THEN 1 ELSE 0 END) FROM `Match` AS T1 INNER JOIN Venue AS T2 ON T1.Venue_Id = T2.Venue_Id WHERE Match_Date BETWEEN '2009-05-09' AND '2011-08-08'",
"SELECT T1.Season_Id FROM `Match` AS T1 INNER JOIN Venue AS T2 ON T1.Venue_Id = T2.Venue_Id WHERE T2.Venue_Name = 'M Chinnaswamy Stadium' GROUP BY T1.Season_Id ORDER BY COUNT(T1.Season_Id) DESC LIMIT 1"
]
}
|
{
"query": "How many times has Sunrisers Hyderabad been the toss winner of a game?",
"pos": [
"SELECT SUM(CASE WHEN Toss_Winner = ( SELECT Team_Id FROM Team WHERE Team_Name = 'Sunrisers Hyderabad' ) THEN 1 ELSE 0 END) FROM `Match`"
],
"neg": [
"SELECT SUM(CASE WHEN Runs_Scored > 3 THEN 1 ELSE 0 END) FROM Batsman_Scored WHERE 335989 < Match_Id < 337000 AND Innings_No = 1 AND Over_Id = 1 AND Ball_Id = 1",
"SELECT SUM(CASE WHEN Match_Date LIKE '2013%' THEN 1 ELSE 0 END) FROM `Match` AS T1 INNER JOIN Team AS T2 ON T1.Match_Winner = T2.Team_Id WHERE T2.Team_Name = 'Sunrisers Hyderabad'",
"SELECT CAST(COUNT(CASE WHEN T1.Toss_Name = 'bat' THEN T3.Runs_Scored ELSE NULL END) AS REAL) / SUM(CASE WHEN T1.Toss_Name = 'field' THEN 1 ELSE 0 END) FROM Toss_Decision AS T1 INNER JOIN Match AS T2 ON T1.Toss_Id = T2.Toss_Decide INNER JOIN Batsman_Scored AS T3 ON T2.Match_Id = T3.Match_Id WHERE T2.Match_Id = 335987 AND T2.Match_Date = '2008-04-18' GROUP BY T3.Over_Id HAVING COUNT(T1.Toss_Name = 'field') = 16",
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Country AS T2 ON T1.Country_Name = T2.Country_Id WHERE T2.Country_Name = 'South Africa' AND T1.DOB LIKE '1984%'",
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Team AS T3 ON T2.Team_Id = T3.Team_Id INNER JOIN Rolee AS T4 ON T2.Role_Id = T4.Role_Id WHERE T3.Team_Name = 'Rising Pune Supergiants' AND T4.Role_Desc = 'CaptainKeeper' GROUP BY T1.Player_Name",
"SELECT COUNT(Player_Name) FROM Player WHERE Bowling_skill > 2",
"SELECT T2.Venue_Name FROM Match AS T1 INNER JOIN Venue AS T2 ON T2.Venue_Id = T1.Venue_Id WHERE T1.Season_Id = 2 GROUP BY T2.Venue_Name",
"SELECT T2.Venue_Name FROM `Match` AS T1 INNER JOIN Venue AS T2 ON T1.Venue_Id = T2.Venue_Id GROUP BY T2.Venue_Name ORDER BY COUNT(T2.Venue_Id) DESC LIMIT 1",
"SELECT T2.Team_Name FROM Match AS T1 INNER JOIN Team AS T2 ON T2.Team_Id = T1.Team_1 ORDER BY T1.Win_Margin DESC LIMIT 1",
"SELECT T2.Player_Name FROM Season AS T1 INNER JOIN Player AS T2 ON T1.Man_of_the_Series = T2.Player_Id WHERE T1.Man_of_the_Series > 1"
]
}
|
{
"query": "List the ball IDs, scores, and innings numbers in the over ID 20 of match ID \"335988\".",
"pos": [
"SELECT Ball_Id, Runs_Scored, Innings_No FROM Batsman_Scored WHERE Match_Id = 335988 AND Over_Id = 20"
],
"neg": [
"SELECT CAST(SUM(CASE WHEN 1 < Over_Id AND Over_Id < 25 THEN 1 ELSE 0 END) AS REAL) * 100 / SUM(Runs_Scored) FROM Batsman_Scored WHERE Innings_No = 1",
"SELECT Man_of_the_Series FROM Season WHERE 2011 < Season_Year < 2015",
"SELECT T2.match_id FROM Team AS T1 INNER JOIN Match AS T2 ON T1.team_id = T2.match_winner WHERE T1.team_name = 'Royal Challengers Bangalore' AND T2.match_date LIKE '2012%' ORDER BY T2.win_margin DESC LIMIT 1",
"SELECT SUM(CASE WHEN T2.Country_Name = 'India' THEN 1 ELSE 0 END) FROM City AS T1 INNER JOIN Country AS T2 ON T1.Country_Id = T2.Country_Id",
"SELECT COUNT(Team_1) FROM `Match` WHERE Team_1 = Toss_Winner AND Toss_Decide = 2",
"SELECT SUM(CASE WHEN Match_Id = 548335 THEN 1 ELSE 0 END) FROM Wicket_Taken WHERE Innings_No = 1",
"SELECT SUM(CASE WHEN T2.Player_Name = 'Mohammad Hafeez' THEN 1 ELSE 0 END) FROM Player_Match AS T1 INNER JOIN Player AS T2 ON T1.Player_Id = T2.Player_Id",
"SELECT SUM(CASE WHEN SUBSTR(T1.DOB, 1, 4) > 1985 THEN 1 ELSE 0 END) FROM Player AS T1 INNER JOIN Batting_Style AS T2 ON T1.Batting_hand = T2.Batting_Id WHERE T2.Batting_Hand = 'Right-hand bat'",
"SELECT T1.Team_Name FROM Team AS T1 INNER JOIN Match AS T2 ON T1.Team_Id = T2.Team_1 WHERE T2.win_margin = 38 AND match_date = '2009-04-30'",
"SELECT T1.Venue_Name FROM Venue AS T1 INNER JOIN City AS T2 ON T1.City_Id = T2.City_Id WHERE T2.City_Name = 'Abu Dhabi'"
]
}
|
{
"query": "What year was R Dravid born and the role he played?",
"pos": [
"SELECT T1.DOB, T3.Role_Desc FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Rolee AS T3 ON T2.Role_Id = T3.Role_Id WHERE T1.Player_Name = 'R Dravid' GROUP BY T1.DOB, T3.Role_Desc"
],
"neg": [
"SELECT T2.Role_Id FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Rolee AS T3 ON T2.Role_Id = T3.Role_Id INNER JOIN Match AS T4 ON T2.Match_Id = T4.Match_Id WHERE T1.Player_Name = 'SC Ganguly' AND T4.Match_Date = '2008-04-18'",
"SELECT CAST(COUNT(CASE WHEN T1.Toss_Name = 'bat' THEN T3.Runs_Scored ELSE NULL END) AS REAL) / SUM(CASE WHEN T1.Toss_Name = 'field' THEN 1 ELSE 0 END) FROM Toss_Decision AS T1 INNER JOIN Match AS T2 ON T1.Toss_Id = T2.Toss_Decide INNER JOIN Batsman_Scored AS T3 ON T2.Match_Id = T3.Match_Id WHERE T2.Match_Id = 335987 AND T2.Match_Date = '2008-04-18' GROUP BY T3.Over_Id HAVING COUNT(T1.Toss_Name = 'field') = 16",
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Season AS T2 ON T1.Player_Id = T2.Purple_Cap ORDER BY T2.Season_Year - SUBSTR(T1.DOB, 1, 4) LIMIT 1",
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Country AS T2 ON T1.Country_Name = T2.Country_Id WHERE T2.Country_Name = 'Zimbabwea'",
"SELECT T2.Win_Type FROM Match AS T1 INNER JOIN Win_By AS T2 ON T1.Win_Type = T2.Win_Id WHERE T1.Match_Id = 336000",
"SELECT T1.Venue_Name FROM Venue AS T1 INNER JOIN City AS T2 ON T1.City_Id = T2.City_Id WHERE T2.City_Name = 'Abu Dhabi'",
"SELECT T1.Match_Id FROM Wicket_Taken AS T1 INNER JOIN Out_Type AS T2 ON T2.Out_Id = T1.Kind_Out WHERE T2.Out_Name = 'hit wicket'",
"SELECT T3.Player_Name FROM Player_Match AS T1 INNER JOIN Team AS T2 ON T1.Team_Id = T2.Team_Id INNER JOIN Player AS T3 ON T1.Player_Id = T3.Player_Id WHERE T2.Team_Name = 'Delhi Daredevils' GROUP BY T3.Player_Name ORDER BY COUNT(T1.Role_Id) DESC LIMIT 1",
"SELECT COUNT(Player_Id) AS cnt FROM Player WHERE DOB BETWEEN '1990-01-01' AND '1999-12-31'",
"SELECT SUM(CASE WHEN Venue_Name = 'MA Chidambaram Stadium' THEN 1 ELSE 0 END) FROM `Match` AS T1 INNER JOIN Venue AS T2 ON T1.Venue_Id = T2.Venue_Id WHERE Match_Date BETWEEN '2009-05-09' AND '2011-08-08'"
]
}
|
{
"query": "Of the matches that were won by runs by team 1, what percentage have team 1 won the toss and decided to field?",
"pos": [
"SELECT CAST(COUNT(CASE WHEN T1.Team_1 = T1.Match_Winner = T1.Toss_Winner THEN 1 ELSE 0 END) AS REAL) * 100 / TOTAL(T1.Team_1) FROM `Match` AS T1 INNER JOIN Win_By AS T2 ON T1.Win_Type = T2.Win_Id INNER JOIN Toss_Decision AS T3 ON T1.Toss_Decide = T3.Toss_Id WHERE T3.Toss_Name = 'field' AND T2.Win_Type = 'runs'"
],
"neg": [
"SELECT Team_Name FROM Team WHERE Team_Id = ( SELECT Match_Winner FROM `Match` WHERE season_Id = 1 GROUP BY Match_Winner ORDER BY COUNT(Match_Winner) DESC LIMIT 1 )",
"SELECT SUM(CASE WHEN Match_Date LIKE '2010-03%' THEN 1 ELSE 0 END) FROM `Match`",
"SELECT T1.Team_Name FROM team AS T1 INNER JOIN Match AS T2 ON T1.Team_Id = T2.Match_Winner WHERE T2.Season_Id = 1 ORDER BY T2.Match_Date LIMIT 1",
"SELECT AVG(T1.Extra_Runs) FROM Extra_Runs AS T1 INNER JOIN Extra_Type AS T2 ON T1.Extra_Type_Id = T2.Extra_Id WHERE T2.Extra_Name = 'noballs'",
"SELECT COUNT(Match_Id) FROM `Match` WHERE Man_of_the_Match = 41",
"SELECT T2.Team_Name FROM Match AS T1 INNER JOIN Team AS T2 ON T2.Team_Id = T1.Toss_Winner WHERE T1.Match_Id BETWEEN 336010 AND 336020",
"SELECT COUNT(Player_Name) FROM Player WHERE DOB LIKE '198%' AND Bowling_skill = 2",
"SELECT T2.Bowling_Skill FROM Player AS T1 INNER JOIN Bowling_Style AS T2 ON T1.Bowling_skill = T2.Bowling_Id INNER JOIN Country AS T3 ON T1.Country_Name = T3.Country_Id WHERE T3.Country_Name = 'Australia' GROUP BY T2.Bowling_Skill",
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Batsman_Scored AS T3 ON T2.Match_ID = T3.Match_ID WHERE T3.Runs_Scored < 3 GROUP BY T1.Player_Name",
"SELECT CAST(SUM(CASE WHEN T1.Batting_hand = 'Right-hand bat' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.Player_Id) FROM Batting_Style AS T1 INNER JOIN Player AS T2 ON T2.Batting_hand = T1.Batting_Id"
]
}
|
{
"query": "How many matches were there in May, 2008?",
"pos": [
"SELECT COUNT(Match_Id) FROM `Match` WHERE SUBSTR(Match_Date, 1, 4) = '2008' AND SUBSTR(Match_Date, 7, 1) = '5'"
],
"neg": [
"SELECT T1.Match_Id, T1.Match_Date FROM `Match` AS T1 INNER JOIN Venue AS T2 ON T1.Venue_Id = T2.Venue_Id WHERE T2.Venue_Name = 'Kingsmead'",
"SELECT Player_Id FROM Player ORDER BY Bowling_skill DESC LIMIT 5",
"SELECT SUM(CASE WHEN T3.Role_Desc = 'Captain' THEN 1 ELSE 0 END) FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Rolee AS T3 ON T2.Role_Id = T3.Role_Id WHERE T1.Player_Name = 'SC Ganguly'",
"SELECT Team_Name FROM Team WHERE Team_Id = ( SELECT CASE WHEN Team_1 = Match_Winner THEN Team_2 ELSE Team_1 END FROM Match WHERE match_id = 336039 )",
"SELECT T1.Player_Name, T2.Country_Name FROM Player AS T1 INNER JOIN Country AS T2 ON T1.Country_Name = T2.Country_Id ORDER BY T1.DOB LIMIT 1",
"SELECT T2.Player_Name FROM Season AS T1 INNER JOIN Player AS T2 ON T1.Man_of_the_Series = T2.Player_Id WHERE T1.Season_Year = 2013",
"SELECT COUNT(T1.Runs_Scored) FROM Batsman_Scored AS T1 INNER JOIN Ball_by_Ball AS T2 ON T1.Match_Id = T2.Match_Id INNER JOIN Match AS T3 ON T2.Match_Id = T3.Match_Id INNER JOIN Team AS T4 ON T3.Team_1 = T4.Team_Id WHERE T2.Team_Batting = 1 OR T2.Team_Batting = 2 AND T4.Team_Name = 'Delhi Daredevils'",
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Match AS T2 ON T1.Player_Id = T2.Man_of_the_Match WHERE T2.Match_Date = '2008-05-12'",
"SELECT T2.Match_Id FROM Venue AS T1 INNER JOIN Match AS T2 ON T1.venue_id = T2.venue_id WHERE T1.Venue_Name = 'St George''s Park' ORDER BY T2.Win_Margin DESC LIMIT 1",
"SELECT T2.Player_Name FROM Ball_by_Ball AS T1 INNER JOIN Player AS T2 ON T1.Striker = T2.Player_Id WHERE T1.Match_Id = 419169 AND T1.Over_Id = 3 AND T1.Ball_Id = 2 AND T1.Innings_No = 2"
]
}
|
{
"query": "How many players are from Australia?",
"pos": [
"SELECT COUNT(CASE WHEN T2.Country_Name = 'Australia' THEN T1.Player_Id ELSE NULL END) FROM Player AS T1 INNER JOIN Country AS T2 ON T1.Country_Name = T2.Country_Id"
],
"neg": [
"SELECT T1.Bowling_Skill FROM Bowling_Style AS T1 INNER JOIN Player AS T2 ON T2.Bowling_skill = T1.Bowling_Id GROUP BY T1.Bowling_Skill ORDER BY COUNT(T1.Bowling_Skill) DESC LIMIT 1",
"SELECT SUM(CASE WHEN T2.Player_Name = 'Yuvraj Singh' THEN 1 ELSE 0 END) FROM Match AS T1 INNER JOIN Player AS T2 ON T2.Player_Id = T1.Man_of_the_Match",
"SELECT Orange_Cap FROM Season GROUP BY Orange_Cap HAVING COUNT(Season_Year) > 1",
"SELECT T2.Player_Name FROM Season AS T1 INNER JOIN Player AS T2 ON T1.Man_of_the_Series = T2.Player_Id WHERE T1.Season_Year = 2013",
"SELECT T2.Batting_hand FROM Player AS T1 INNER JOIN Batting_Style AS T2 ON T1.Batting_hand = T2.Batting_Id WHERE T1.Player_Name = 'MK Pandey'",
"SELECT T1.Country_Name FROM Country AS T1 INNER JOIN Umpire AS T2 ON T2.Umpire_Country = T1.Country_Id WHERE T2.Umpire_Name = 'BR Doctrove'",
"SELECT SUM(Runs_Scored) FROM Batsman_Scored WHERE Match_Id = 335988 AND Innings_No = 2",
"SELECT T2.Venue_Name FROM `Match` AS T1 INNER JOIN Venue AS T2 ON T1.Venue_Id = T2.Venue_Id GROUP BY T2.Venue_Name ORDER BY COUNT(T2.Venue_Id) DESC LIMIT 1",
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Season AS T2 ON T1.Player_Id = T2.Man_of_the_Series = T2.Orange_Cap",
"SELECT T2.Player_Name, T2.DOB FROM Country AS T1 INNER JOIN Player AS T2 ON T2.Country_Name = T1.Country_Id WHERE T2.DOB LIKE '1977%' AND T1.Country_Name = 'England'"
]
}
|
{
"query": "Provide the losing team's name in the match ID 336039.",
"pos": [
"SELECT Team_Name FROM Team WHERE Team_Id = ( SELECT CASE WHEN Team_1 = Match_Winner THEN Team_2 ELSE Team_1 END FROM Match WHERE match_id = 336039 )"
],
"neg": [
"SELECT SUM(CASE WHEN T2.Country_Name = 'India' THEN 1 ELSE 0 END) FROM City AS T1 INNER JOIN Country AS T2 ON T1.Country_Id = T2.Country_Id",
"SELECT SUM(CASE WHEN T2.Venue_Name = 'M Chinnaswamy Stadium' THEN 1 ELSE 0 END) - SUM(CASE WHEN T2.Venue_Name = 'Maharashtra Cricket Association Stadium' THEN 1 ELSE 0 END) FROM `Match` AS T1 INNER JOIN Venue AS T2 ON T1.Venue_Id = T2.Venue_Id",
"SELECT CAST(COUNT(CASE WHEN T1.Toss_Name = 'bat' THEN T3.Runs_Scored ELSE NULL END) AS REAL) / SUM(CASE WHEN T1.Toss_Name = 'field' THEN 1 ELSE 0 END) FROM Toss_Decision AS T1 INNER JOIN Match AS T2 ON T1.Toss_Id = T2.Toss_Decide INNER JOIN Batsman_Scored AS T3 ON T2.Match_Id = T3.Match_Id WHERE T2.Match_Id = 335987 AND T2.Match_Date = '2008-04-18' GROUP BY T3.Over_Id HAVING COUNT(T1.Toss_Name = 'field') = 16",
"SELECT T1.Team_Name FROM team AS T1 INNER JOIN Match AS T2 ON T1.Team_Id = T2.Match_Winner WHERE T2.Season_Id = 1 ORDER BY T2.Match_Date LIMIT 1",
"SELECT T1.Country_Name FROM Country AS T1 INNER JOIN city AS T2 ON T1.Country_Id = T2.Country_Id WHERE city_name = 'Rajkot'",
"SELECT SUM(CASE WHEN Toss_Winner = ( SELECT Team_Id FROM Team WHERE Team_Name = 'Sunrisers Hyderabad' ) THEN 1 ELSE 0 END) FROM `Match`",
"SELECT T2.Venue_Name FROM Match AS T1 INNER JOIN Venue AS T2 ON T2.Venue_Id = T1.Venue_Id WHERE T1.Season_Id = 2 GROUP BY T2.Venue_Name",
"SELECT COUNT(Player_Name) FROM Player WHERE DOB LIKE '198%' AND Bowling_skill = 2",
"SELECT COUNT(*) FROM Player WHERE DOB < '1975-10-16' AND Bowling_skill < 3",
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Season AS T2 ON T1.Player_Id = T2.Man_of_the_Series = T2.Orange_Cap"
]
}
|
{
"query": "What is the difference in the average number of players out by lbw and runout in the matches?",
"pos": [
"SELECT AVG(T1.Player_Out) FROM Wicket_Taken AS T1 INNER JOIN Out_Type AS T2 ON T1.Kind_Out = T2.Out_Id WHERE T2.Out_Name = 'lbw'"
],
"neg": [
"SELECT Orange_Cap FROM Season GROUP BY Orange_Cap HAVING COUNT(Season_Year) > 1",
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Country AS T2 ON T1.Country_Name = T2.Country_Id WHERE T2.Country_Name = 'South Africa' AND T1.DOB LIKE '1984%'",
"SELECT T1.Team_Name FROM Team AS T1 INNER JOIN Match AS T2 ON T1.Team_Id = T2.Team_1 WHERE T2.win_margin = 38 AND match_date = '2009-04-30'",
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Season AS T2 ON T1.Player_Id = T2.Purple_Cap ORDER BY T2.Season_Year - SUBSTR(T1.DOB, 1, 4) LIMIT 1",
"SELECT AVG(T1.Extra_Runs) FROM Extra_Runs AS T1 INNER JOIN Extra_Type AS T2 ON T1.Extra_Type_Id = T2.Extra_Id WHERE T2.Extra_Name = 'noballs'",
"SELECT T1.Player_Name, T2.Country_Name FROM Player AS T1 INNER JOIN Country AS T2 ON T1.Country_Name = T2.Country_Id ORDER BY T1.DOB LIMIT 1",
"SELECT CAST(COUNT(CASE WHEN T1.Toss_Name = 'bat' THEN T3.Runs_Scored ELSE NULL END) AS REAL) / SUM(CASE WHEN T1.Toss_Name = 'field' THEN 1 ELSE 0 END) FROM Toss_Decision AS T1 INNER JOIN Match AS T2 ON T1.Toss_Id = T2.Toss_Decide INNER JOIN Batsman_Scored AS T3 ON T2.Match_Id = T3.Match_Id WHERE T2.Match_Id = 335987 AND T2.Match_Date = '2008-04-18' GROUP BY T3.Over_Id HAVING COUNT(T1.Toss_Name = 'field') = 17",
"SELECT MIN(T1.DOB) FROM Player AS T1 INNER JOIN Bowling_Style AS T2 ON T1.Bowling_skill = T2.Bowling_Id WHERE T2.Bowling_Skill = 'Legbreak'",
"SELECT T1.Match_Date, T4.Role_Desc FROM `Match` AS T1 INNER JOIN Player_Match AS T2 ON T1.Match_Id = T2.Match_Id INNER JOIN Player AS T3 ON T2.Player_Id = T3.Player_Id INNER JOIN Rolee AS T4 ON T2.Role_Id = T4.Role_Id ORDER BY T3.DOB DESC LIMIT 1",
"SELECT T1.Team_Name FROM Team AS T1 INNER JOIN Match AS T2 ON T1.team_id = T2.match_winner INNER JOIN Win_By AS T3 ON T2.win_type = T3.win_id WHERE T2.Match_Id = 419135"
]
}
|
{
"query": "Which season has the fewest number of matches?",
"pos": [
"SELECT Season_Id FROM `Match` GROUP BY Season_Id ORDER BY COUNT(Match_Id) LIMIT 1"
],
"neg": [
"SELECT COUNT(T1.Player_Id) FROM Player AS T1 INNER JOIN Bowling_Style AS T2 ON T1.Bowling_skill = T2.Bowling_Id WHERE T2.Bowling_skill = 'Left-arm fast'",
"SELECT T3.Country_Name FROM Bowling_Style AS T1 INNER JOIN Player AS T2 ON T1.Bowling_Id = T2.Bowling_skill INNER JOIN Country AS T3 ON T2.Country_Name = T3.Country_Id WHERE T1.Bowling_skill = 'Slow left-arm chinaman'",
"SELECT T1.Team_Name FROM Team AS T1 INNER JOIN Match AS T2 ON T1.Team_Id = T2.Team_1 OR T1.Team_Id = T2.Team_2 INNER JOIN Win_By AS T3 ON T2.Win_Type = T3.Win_Id WHERE SUBSTR(T2.Match_Date, 1, 4) = '2015' AND T3.Win_Type = 'Tie' LIMIT 1",
"SELECT T1.Team_Name FROM Team AS T1 INNER JOIN Match AS T2 ON T1.team_id = T2.match_winner INNER JOIN Win_By AS T3 ON T2.win_type = T3.win_id WHERE T2.Match_Id = 419135",
"SELECT T2.Player_Name FROM Season AS T1 INNER JOIN Player AS T2 ON T1.Man_of_the_Series = T2.Player_Id WHERE T1.Season_Year = 2013",
"SELECT Man_of_the_Series FROM Season WHERE 2011 < Season_Year < 2015",
"SELECT Orange_Cap FROM Season GROUP BY Orange_Cap HAVING COUNT(Season_Year) > 1",
"SELECT CAST(SUM(CASE WHEN T2.Role_Desc = 'CaptainKeeper' THEN 1 ELSE 0 END) AS REAL) * 100 / TOTAL(T1.Player_Id) FROM Player_Match AS T1 INNER JOIN Rolee AS T2 ON T1.Role_Id = T2.Role_Id",
"SELECT COUNT(Match_Id) FROM `Match` WHERE SUBSTR(Match_Date, 1, 4) = '2008' AND SUBSTR(Match_Date, 7, 1) = '5'",
"SELECT Player_name FROM Player WHERE DOB LIKE '1971%'"
]
}
|
{
"query": "Among the matches held in St. George's Park, give the match ID of the match with the highest winning margin points.",
"pos": [
"SELECT T2.Match_Id FROM Venue AS T1 INNER JOIN Match AS T2 ON T1.venue_id = T2.venue_id WHERE T1.Venue_Name = 'St George''s Park' ORDER BY T2.Win_Margin DESC LIMIT 1"
],
"neg": [
"SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Match AS T3 ON T2.Match_Id = T3.Match_Id WHERE SUBSTR(T3.Match_Date, 1, 4) = '2014' AND SUBSTR(T3.Match_Date, 7, 1) = '6' LIMIT 2",
"SELECT T1.Venue_Name, T2.City_Name, T3.Country_Name FROM Venue AS T1 INNER JOIN City AS T2 ON T1.City_Id = T2.City_Id INNER JOIN Country AS T3 ON T2.Country_Id = T3.Country_Id INNER JOIN Match AS T4 ON T1.Venue_Id = T4.Venue_Id ORDER BY T4.Match_Date DESC LIMIT 1",
"SELECT CAST(SUM(CASE WHEN T3.Win_Type = 'wickets' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T3.Win_Type) FROM Team AS T1 INNER JOIN Match AS T2 ON T1.Team_Id = T2.Match_Winner INNER JOIN Win_By AS T3 ON T2.Win_Type = T3.Win_Id WHERE T1.Team_Name = 'Delhi Daredevils'",
"SELECT T1.Team_Name FROM Team AS T1 INNER JOIN Match AS T2 ON T1.team_id = T2.match_winner INNER JOIN Win_By AS T3 ON T2.win_type = T3.win_id WHERE T2.Match_Id = 419135",
"SELECT T1.Venue_Name FROM Venue AS T1 INNER JOIN City AS T2 ON T1.City_Id = T2.City_Id WHERE T2.City_Name = 'Abu Dhabi'",
"SELECT COUNT(Match_Id) FROM Match WHERE Match_Date LIKE '2008%' AND Match_Winner IS NOT NULL",
"SELECT CAST(SUM(CASE WHEN T2.Batting_hand = 'Left-hand bat' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.Player_Id) FROM Player AS T1 INNER JOIN Batting_Style AS T2 ON T1.Batting_hand = T2.Batting_Id",
"SELECT T1.Match_Date FROM `Match` AS T1 INNER JOIN Team AS T2 ON T1.Match_Winner = T2.Team_Id WHERE T2.Team_Name = 'Sunrisers Hyderabad'",
"SELECT Player_name FROM Player WHERE DOB = '1981-07-07'",
"SELECT T4.City_Name FROM `Match` AS T1 INNER JOIN Win_By AS T2 ON T1.Win_Type = T2.Win_Id INNER JOIN Venue AS T3 ON T1.Venue_Id = T3.Venue_Id INNER JOIN City AS T4 ON T3.City_Id = T4.City_Id WHERE T2.Win_Type = 'NO Result' GROUP BY T4.City_Id ORDER BY COUNT(T2.Win_Type) ASC LIMIT 1"
]
}
|
{
"query": "Among all the tweets posted on Mondays, how many of them are reshared?",
"pos": [
"SELECT COUNT(DISTINCT TweetID) FROM twitter WHERE Weekday = 'Monday' AND IsReshare = 'TRUE'"
],
"neg": [
"SELECT SUM(CASE WHEN T1.Sentiment > 0 THEN 1 ELSE 0 END) - SUM(CASE WHEN T1.Sentiment = 0 THEN 1 ELSE 0 END) AS diff FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male'",
"SELECT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.RetweetCount = 535",
"SELECT T1.text FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male' AND T1.Lang = 'fr'",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID INNER JOIN user AS T3 ON T3.UserID = T1.UserID WHERE T2.Country = 'Australia' AND T3.Gender = 'Male' AND T1.Sentiment > 0",
"SELECT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.TweetID = 'tw-715909161071091712'",
"SELECT T2.StateCode FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T1.TweetID = 'tw-685681052912873473'",
"SELECT T.Gender FROM ( SELECT T2.Gender, COUNT( text) AS num FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.Lang = 'en' GROUP BY T2.Gender ) T ORDER BY T.num DESC LIMIT 1",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.State = 'Texas' AND T1.IsReshare = 'TRUE'",
"SELECT COUNT(TweetID) AS tweet_number FROM twitter WHERE Reach > 1000",
"SELECT SUM(CASE WHEN T2.City = 'Buenos Aires' THEN 1.0 ELSE 0 END) / COUNT(T1.TweetID) AS avg FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.Country = 'Argentina'"
]
}
|
{
"query": "Among all the users that have posted a tweet with over 1000 likes, how many of them are male?",
"pos": [
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.Likes > 10 AND T2.Gender = 'Male'"
],
"neg": [
"SELECT text FROM twitter WHERE Weekday = 'Thursday'",
"SELECT Weekday FROM twitter WHERE TweetID = 'tw-682712873332805633'",
"SELECT T2.StateCode FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T1.TweetID = 'tw-685681052912873473'",
"SELECT SUM(CASE WHEN T1.Sentiment > 0 THEN 1 ELSE 0 END) - SUM(CASE WHEN T1.Sentiment = 0 THEN 1 ELSE 0 END) AS diff FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male'",
"SELECT SUM(CASE WHEN T1.Sentiment > 0 THEN 1.0 ELSE 0 END) / COUNT(T1.TweetID) AS percentage FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE State = 'California'",
"SELECT COUNT(TweetID) AS tweet_number FROM twitter WHERE Sentiment > 0 AND Weekday = 'Thursday'",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T1.Weekday = 'Thursday' AND T2.State = 'Michigan'",
"SELECT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID ORDER BY T1.Reach DESC LIMIT 1",
"SELECT T.Country FROM ( SELECT T2.Country, SUM(T1.Sentiment) AS num FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T1.Sentiment > 0 GROUP BY T2.Country ) T ORDER BY T.num DESC LIMIT 1",
"SELECT SUM(CASE WHEN T2.Gender = 'Male' THEN 1.0 ELSE 0 END) / COUNT(T1.TweetID) AS per FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.Sentiment > 0"
]
}
|
{
"query": "List down all of the texts posted on Twitter on Thursday.",
"pos": [
"SELECT text FROM twitter WHERE Weekday = 'Thursday'"
],
"neg": [
"SELECT SUM(T1.Likes) / COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male' AND T1.Weekday = 'Monday'",
"SELECT T2.City FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID ORDER BY T1.RetweetCount DESC LIMIT 1",
"SELECT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.TweetID = 'tw-715909161071091712'",
"SELECT DISTINCT T1.Lang FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.Country = 'Brazil'",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T1.Weekday = 'Thursday' AND T2.State = 'Michigan'",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T1.Day = 31 AND T2.State = 'Santa' AND T2.Country = 'Argentina'",
"SELECT T2.City FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.Country = 'Argentina' GROUP BY T2.City ORDER BY COUNT(T1.TweetID) DESC LIMIT 1",
"SELECT text FROM twitter WHERE Likes = ( SELECT MAX( Likes) FROM twitter )",
"SELECT T2.Country FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID ORDER BY T1.Likes DESC LIMIT 1",
"SELECT DISTINCT T2.City FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE Sentiment = 0"
]
}
|
{
"query": "How many tweets in French were posted from Australia?",
"pos": [
"SELECT COUNT(DISTINCT T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T1.Lang = 'fr' AND T2.Country = 'Australia'"
],
"neg": [
"SELECT DISTINCT T1.Lang FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.Country = 'Brazil'",
"SELECT T1.text FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Unknown'",
"SELECT DISTINCT T2.City FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE Sentiment = 0",
"SELECT COUNT(TweetID) AS tweet_number FROM twitter WHERE Reach > 1000",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T1.Day = 31 AND T2.State = 'Santa' AND T2.Country = 'Argentina'",
"SELECT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.RetweetCount = 535",
"SELECT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.TweetID = 'tw-682714583044243456'",
"SELECT text FROM twitter WHERE Likes = ( SELECT MAX( Likes) FROM twitter )",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.City = 'Buenos Aires' AND T1.IsReshare = 'TRUE'",
"SELECT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID ORDER BY T1.Reach DESC LIMIT 1"
]
}
|
{
"query": "Among all the tweets sent by male users in Argentina, what is the text of the one with the most number of likes?",
"pos": [
"SELECT T2.text FROM user AS T1 INNER JOIN twitter AS T2 ON T1.UserID = T2.UserID INNER JOIN location AS T3 ON T2.LocationID = T3.LocationID WHERE T3.Country = 'Argentina' AND T1.Gender = 'Male' ORDER BY T2.Likes DESC LIMIT 1"
],
"neg": [
"SELECT COUNT(DISTINCT TweetID) FROM twitter WHERE Lang = 'en'",
"SELECT text FROM twitter WHERE Weekday = 'Thursday'",
"SELECT SUM(CASE WHEN T2.City = 'Bangkok' THEN Likes ELSE NULL END) / COUNT(CASE WHEN T2.City = 'Bangkok' THEN 1 ELSE 0 END) AS bNum , SUM(CASE WHEN City = 'Chiang Mai' THEN Likes ELSE NULL END) / COUNT(CASE WHEN City = 'Chiang Mai' THEN TweetID ELSE NULL END) AS cNum FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.City IN ('Bangkok', 'Chiang Mai')",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T1.Day = 31 AND T2.State = 'Santa' AND T2.Country = 'Argentina'",
"SELECT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.TweetID = 'tw-715909161071091712'",
"SELECT T2.City FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.Country = 'Argentina' GROUP BY T2.City ORDER BY COUNT(T1.TweetID) DESC LIMIT 1",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.Likes > 10 AND T2.Gender = 'Male'",
"SELECT COUNT(TweetID) AS tweet_number FROM twitter WHERE Reach > 1000",
"SELECT T.City FROM ( SELECT T2.City, COUNT(T1.TweetID) AS num FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.Country = 'Canada' GROUP BY T2.City ) T ORDER BY T.num DESC LIMIT 3",
"SELECT SUM(CASE WHEN T2.City = 'Buenos Aires' THEN 1.0 ELSE 0 END) / COUNT(T1.TweetID) AS avg FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.Country = 'Argentina'"
]
}
|
{
"query": "Please list the texts of all the tweets in French posted by male users.",
"pos": [
"SELECT T1.text FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male' AND T1.Lang = 'fr'"
],
"neg": [
"SELECT text FROM twitter WHERE Weekday = 'Thursday'",
"SELECT SUM(CASE WHEN T1.Sentiment > 0 THEN 1.0 ELSE 0 END) / COUNT(T1.TweetID) AS percentage FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE State = 'California'",
"SELECT COUNT(TweetID) AS tweet_number FROM twitter WHERE Reach > 1000",
"SELECT text FROM twitter WHERE Likes = ( SELECT MAX( Likes) FROM twitter )",
"SELECT SUM(CASE WHEN T2.City = 'Buenos Aires' THEN 1.0 ELSE 0 END) / COUNT(T1.TweetID) AS avg FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.Country = 'Argentina'",
"SELECT Weekday FROM twitter WHERE TweetID = 'tw-682712873332805633'",
"SELECT T1.text FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.Country = 'Australia'",
"SELECT T1.text FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Unknown'",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.State = 'Texas' AND T1.IsReshare = 'TRUE'",
"SELECT COUNT(TweetID) AS tweet_number FROM twitter WHERE Sentiment > 0 AND Weekday = 'Thursday'"
]
}
|
{
"query": "Please list all the cities from where tweets with neutral sentiments were posted.",
"pos": [
"SELECT DISTINCT T2.City FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE Sentiment = 0"
],
"neg": [
"SELECT T.Gender FROM ( SELECT T2.Gender, COUNT( text) AS num FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.Lang = 'en' GROUP BY T2.Gender ) T ORDER BY T.num DESC LIMIT 1",
"SELECT DISTINCT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.RetweetCount > 30",
"SELECT T2.text FROM user AS T1 INNER JOIN twitter AS T2 ON T1.UserID = T2.UserID INNER JOIN location AS T3 ON T2.LocationID = T3.LocationID WHERE T3.Country = 'Argentina' AND T1.Gender = 'Male' ORDER BY T2.Likes DESC LIMIT 1",
"SELECT T2.City FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID ORDER BY T1.RetweetCount DESC LIMIT 1",
"SELECT SUM(CASE WHEN T1.Sentiment > 0 THEN 1 ELSE 0 END) - SUM(CASE WHEN T1.Sentiment = 0 THEN 1 ELSE 0 END) AS diff FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male'",
"SELECT T1.text FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID INNER JOIN user AS T2 ON T2.UserID = T1.UserID INNER JOIN user AS T3 ON T1.UserID = T3.UserID WHERE T2.City = 'Buenos Aires' AND T3.Gender = 'Male'",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID INNER JOIN user AS T3 ON T3.UserID = T1.UserID WHERE T2.Country = 'Australia' AND T3.Gender = 'Male' AND T1.Sentiment > 0",
"SELECT COUNT(TweetID) AS tweet_number FROM twitter WHERE Lang = 'en'",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.State = 'Texas' AND T1.IsReshare = 'TRUE'",
"SELECT T.Country FROM ( SELECT T2.Country, SUM(T1.Sentiment) AS num FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T1.Sentiment > 0 GROUP BY T2.Country ) T ORDER BY T.num DESC LIMIT 1"
]
}
|
{
"query": "Which state was the tweet `tw-685681052912873473` from? Give the state code.",
"pos": [
"SELECT T2.StateCode FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T1.TweetID = 'tw-685681052912873473'"
],
"neg": [
"SELECT COUNT(DISTINCT T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T1.Lang = 'fr' AND T2.Country = 'Australia'",
"SELECT DISTINCT T1.Lang FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.Country = 'Brazil'",
"SELECT T1.text FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.Country = 'Australia'",
"SELECT T1.text FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Unknown'",
"SELECT COUNT(DISTINCT T1.TweetID) / COUNT(DISTINCT T1.UserID) / 7 AS avg FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male' AND T1.Day BETWEEN 1 AND 31",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.Likes > 10 AND T2.Gender = 'Male'",
"SELECT SUM(CASE WHEN T1.Sentiment > 0 THEN 1.0 ELSE 0 END) / COUNT(T1.TweetID) AS percentage FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE State = 'California'",
"SELECT SUM(CASE WHEN T2.Gender = 'Male' THEN 1.0 ELSE 0 END) / COUNT(T1.TweetID) AS per FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.Sentiment > 0",
"SELECT DISTINCT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.RetweetCount > 30",
"SELECT COUNT(DISTINCT TweetID) FROM twitter WHERE Weekday = 'Monday' AND IsReshare = 'TRUE'"
]
}
|
{
"query": "What is the gender of the user whose tweet got 535 retweets?",
"pos": [
"SELECT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.RetweetCount = 535"
],
"neg": [
"SELECT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID ORDER BY T1.Reach DESC LIMIT 1",
"SELECT COUNT(T1.UserID) FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Female' AND T1.IsReshare = 'TRUE'",
"SELECT T2.Country FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID ORDER BY T1.Likes DESC LIMIT 1",
"SELECT DISTINCT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.RetweetCount > 30",
"SELECT SUM(CASE WHEN T2.Gender = 'Male' THEN 1.0 ELSE 0 END) / COUNT(T1.TweetID) AS per FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.Sentiment > 0",
"SELECT T2.City FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID ORDER BY T1.RetweetCount DESC LIMIT 1",
"SELECT T.City FROM ( SELECT T2.City, COUNT(T1.TweetID) AS num FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.Country = 'Canada' GROUP BY T2.City ) T ORDER BY T.num DESC LIMIT 3",
"SELECT T1.text FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID INNER JOIN user AS T2 ON T2.UserID = T1.UserID INNER JOIN user AS T3 ON T1.UserID = T3.UserID WHERE T2.City = 'Buenos Aires' AND T3.Gender = 'Male'",
"SELECT COUNT(TweetID) AS tweet_number FROM twitter WHERE Reach > 1000",
"SELECT COUNT(DISTINCT TweetID) FROM twitter WHERE Weekday = 'Monday' AND IsReshare = 'TRUE'"
]
}
|
{
"query": "How many tweets are seen by more than 1000 unique users?",
"pos": [
"SELECT COUNT(TweetID) AS tweet_number FROM twitter WHERE Reach > 1000"
],
"neg": [
"SELECT T2.StateCode FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T1.TweetID = 'tw-685681052912873473'",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.State = 'Texas' AND T1.IsReshare = 'TRUE'",
"SELECT COUNT(TweetID) AS tweet_number FROM twitter WHERE Lang = 'en'",
"SELECT T1.text FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male' AND T1.Lang = 'fr'",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T1.Weekday = 'Thursday' AND T2.State = 'Michigan'",
"SELECT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID ORDER BY T1.Reach DESC LIMIT 1",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID INNER JOIN user AS T3 ON T3.UserID = T1.UserID WHERE T2.Country = 'Australia' AND T3.Gender = 'Male' AND T1.Sentiment > 0",
"SELECT DISTINCT T1.Lang FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.Country = 'Brazil'",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.City = 'Buenos Aires' AND T1.IsReshare = 'TRUE'",
"SELECT DISTINCT T2.City FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE Sentiment = 0"
]
}
|
{
"query": "Users in which country has posted more numbers of positive tweets, Argentina or Australia?",
"pos": [
"SELECT T2.Country FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.Country IN ('Argentina', 'Australia') AND T1.Sentiment > 0 GROUP BY T2.Country ORDER BY COUNT(T1.TweetID) DESC LIMIT 1"
],
"neg": [
"SELECT T1.text FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Unknown'",
"SELECT COUNT(TweetID) AS tweet_number FROM twitter WHERE Reach > 1000",
"SELECT SUM(CASE WHEN T2.City = 'Bangkok' THEN Likes ELSE NULL END) / COUNT(CASE WHEN T2.City = 'Bangkok' THEN 1 ELSE 0 END) AS bNum , SUM(CASE WHEN City = 'Chiang Mai' THEN Likes ELSE NULL END) / COUNT(CASE WHEN City = 'Chiang Mai' THEN TweetID ELSE NULL END) AS cNum FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.City IN ('Bangkok', 'Chiang Mai')",
"SELECT T2.StateCode FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T1.TweetID = 'tw-685681052912873473'",
"SELECT T1.text FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.City = 'Rawang' AND T2.State = 'Selangor' AND T2.Country = 'Malaysia'",
"SELECT T1.text FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.Country = 'Australia'",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID INNER JOIN user AS T3 ON T3.UserID = T1.UserID WHERE T2.Country = 'Australia' AND T3.Gender = 'Male' AND T1.Sentiment > 0",
"SELECT SUM(T1.Likes) / COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male' AND T1.Weekday = 'Monday'",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.City = 'Buenos Aires' AND T1.IsReshare = 'TRUE'",
"SELECT T1.text FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male' AND T1.Lang = 'fr'"
]
}
|
{
"query": "What is the percentage of the tweets from California are positive?",
"pos": [
"SELECT SUM(CASE WHEN T1.Sentiment > 0 THEN 1.0 ELSE 0 END) / COUNT(T1.TweetID) AS percentage FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE State = 'California'"
],
"neg": [
"SELECT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.TweetID = 'tw-715909161071091712'",
"SELECT T1.text FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Unknown'",
"SELECT T1.text FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.City = 'Rawang' AND T2.State = 'Selangor' AND T2.Country = 'Malaysia'",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.State = 'Texas' AND T1.IsReshare = 'TRUE'",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T1.Day = 31 AND T2.State = 'Santa' AND T2.Country = 'Argentina'",
"SELECT COUNT(TweetID) AS tweet_number FROM twitter WHERE Sentiment > 0 AND Weekday = 'Thursday'",
"SELECT DISTINCT T2.City FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE Sentiment = 0",
"SELECT T.City FROM ( SELECT T2.City, COUNT(T1.TweetID) AS num FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.Country = 'Canada' GROUP BY T2.City ) T ORDER BY T.num DESC LIMIT 3",
"SELECT T.Country FROM ( SELECT T2.Country, SUM(T1.Sentiment) AS num FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T1.Sentiment > 0 GROUP BY T2.Country ) T ORDER BY T.num DESC LIMIT 1",
"SELECT T2.City FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.Country = 'Argentina' GROUP BY T2.City ORDER BY COUNT(T1.TweetID) DESC LIMIT 1"
]
}
|
{
"query": "Users in which city of Argentina post the most tweets?",
"pos": [
"SELECT T2.City FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.Country = 'Argentina' GROUP BY T2.City ORDER BY COUNT(T1.TweetID) DESC LIMIT 1"
],
"neg": [
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T1.Day = 31 AND T2.State = 'Santa' AND T2.Country = 'Argentina'",
"SELECT City FROM location WHERE City IS NOT NULL AND Country = 'Argentina'",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID INNER JOIN user AS T3 ON T3.UserID = T1.UserID WHERE T2.Country = 'Australia' AND T3.Gender = 'Male' AND T1.Sentiment > 0",
"SELECT T2.Country FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.Country IN ('Argentina', 'Australia') AND T1.Sentiment > 0 GROUP BY T2.Country ORDER BY COUNT(T1.TweetID) DESC LIMIT 1",
"SELECT COUNT(TweetID) AS tweet_number FROM twitter WHERE Sentiment > 0 AND Weekday = 'Thursday'",
"SELECT COUNT(DISTINCT TweetID) FROM twitter WHERE Weekday = 'Monday' AND IsReshare = 'TRUE'",
"SELECT SUM(CASE WHEN T1.Sentiment > 0 THEN 1.0 ELSE 0 END) / COUNT(T1.TweetID) AS percentage FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE State = 'California'",
"SELECT text FROM twitter WHERE Likes = ( SELECT MAX( Likes) FROM twitter )",
"SELECT SUM(CASE WHEN T2.City = 'Buenos Aires' THEN 1.0 ELSE 0 END) / COUNT(T1.TweetID) AS avg FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.Country = 'Argentina'",
"SELECT T2.Country FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID ORDER BY T1.Likes DESC LIMIT 1"
]
}
|
{
"query": "Count the total number of tweet IDs in `en`.",
"pos": [
"SELECT COUNT(DISTINCT TweetID) FROM twitter WHERE Lang = 'en'"
],
"neg": [
"SELECT City FROM location WHERE City IS NOT NULL AND Country = 'Argentina'",
"SELECT T2.Country FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID ORDER BY T1.Likes DESC LIMIT 1",
"SELECT SUM(T1.Likes) / COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male' AND T1.Weekday = 'Monday'",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.State = 'Texas' AND T1.IsReshare = 'TRUE'",
"SELECT DISTINCT T1.Lang FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.Country = 'Brazil'",
"SELECT T.Gender FROM ( SELECT T2.Gender, COUNT( text) AS num FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.Lang = 'en' GROUP BY T2.Gender ) T ORDER BY T.num DESC LIMIT 1",
"SELECT T2.City FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.Country = 'Argentina' GROUP BY T2.City ORDER BY COUNT(T1.TweetID) DESC LIMIT 1",
"SELECT COUNT(TweetID) AS tweet_number FROM twitter WHERE Reach > 1000",
"SELECT T2.Country FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.Country IN ('Argentina', 'Australia') AND T1.Sentiment > 0 GROUP BY T2.Country ORDER BY COUNT(T1.TweetID) DESC LIMIT 1",
"SELECT SUM(CASE WHEN T2.City = 'Buenos Aires' THEN 1.0 ELSE 0 END) / COUNT(T1.TweetID) AS avg FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.Country = 'Argentina'"
]
}
|
{
"query": "List down the text of tweets posted by unknown gender users.",
"pos": [
"SELECT T1.text FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Unknown'"
],
"neg": [
"SELECT COUNT(TweetID) AS tweet_number FROM twitter WHERE Lang = 'en'",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T1.Day = 31 AND T2.State = 'Santa' AND T2.Country = 'Argentina'",
"SELECT T2.City FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.Country = 'Argentina' GROUP BY T2.City ORDER BY COUNT(T1.TweetID) DESC LIMIT 1",
"SELECT COUNT(TweetID) AS tweet_number FROM twitter WHERE Reach > 1000",
"SELECT T2.Country FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID ORDER BY T1.Likes DESC LIMIT 1",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T1.Weekday = 'Thursday' AND T2.State = 'Michigan'",
"SELECT SUM(T1.Likes) / COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male' AND T1.Weekday = 'Monday'",
"SELECT T1.text FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID INNER JOIN user AS T2 ON T2.UserID = T1.UserID INNER JOIN user AS T3 ON T1.UserID = T3.UserID WHERE T2.City = 'Buenos Aires' AND T3.Gender = 'Male'",
"SELECT SUM(CASE WHEN T2.Gender = 'Male' THEN 1.0 ELSE 0 END) / COUNT(T1.TweetID) AS per FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.Sentiment > 0",
"SELECT COUNT(DISTINCT T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T1.Lang = 'fr' AND T2.Country = 'Australia'"
]
}
|
{
"query": "How many reshared tweets are there in Texas?",
"pos": [
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.State = 'Texas' AND T1.IsReshare = 'TRUE'"
],
"neg": [
"SELECT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.TweetID = 'tw-682714583044243456'",
"SELECT SUM(CASE WHEN T2.Gender = 'Male' THEN 1.0 ELSE 0 END) / COUNT(T1.TweetID) AS per FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.Sentiment > 0",
"SELECT T2.City FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID ORDER BY T1.RetweetCount DESC LIMIT 1",
"SELECT T2.StateCode FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T1.TweetID = 'tw-685681052912873473'",
"SELECT SUM(CASE WHEN T1.Sentiment > 0 THEN 1.0 ELSE 0 END) / COUNT(T1.TweetID) AS percentage FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE State = 'California'",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.City = 'Buenos Aires' AND T1.IsReshare = 'TRUE'",
"SELECT T1.text FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID INNER JOIN user AS T2 ON T2.UserID = T1.UserID INNER JOIN user AS T3 ON T1.UserID = T3.UserID WHERE T2.City = 'Buenos Aires' AND T3.Gender = 'Male'",
"SELECT T2.Country FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID ORDER BY T1.Likes DESC LIMIT 1",
"SELECT COUNT(DISTINCT TweetID) FROM twitter WHERE Weekday = 'Monday' AND IsReshare = 'TRUE'",
"SELECT COUNT(TweetID) AS tweet_number FROM twitter WHERE Lang = 'en'"
]
}
|
{
"query": "What is the gender of the user who has posted the tweet that is seen by the most number of unique users?",
"pos": [
"SELECT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID ORDER BY T1.Reach DESC LIMIT 1"
],
"neg": [
"SELECT DISTINCT T1.Lang FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.Country = 'Brazil'",
"SELECT Reach FROM twitter WHERE text = 'Happy New Year to all those AWS instances of ours!'",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.City = 'Buenos Aires' AND T1.IsReshare = 'TRUE'",
"SELECT T2.City FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.Country = 'Argentina' GROUP BY T2.City ORDER BY COUNT(T1.TweetID) DESC LIMIT 1",
"SELECT COUNT(TweetID) AS tweet_number FROM twitter WHERE Lang = 'en'",
"SELECT SUM(CASE WHEN T1.Sentiment > 0 THEN 1.0 ELSE 0 END) / COUNT(T1.TweetID) AS percentage FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE State = 'California'",
"SELECT SUM(T1.Likes) / COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male' AND T1.Weekday = 'Monday'",
"SELECT COUNT(DISTINCT T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T1.Lang = 'fr' AND T2.Country = 'Australia'",
"SELECT SUM(CASE WHEN T1.Sentiment > 0 THEN 1 ELSE 0 END) - SUM(CASE WHEN T1.Sentiment = 0 THEN 1 ELSE 0 END) AS diff FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male'",
"SELECT text FROM twitter WHERE Weekday = 'Thursday'"
]
}
|
{
"query": "What is the text of the tweet that got the most `likes`?",
"pos": [
"SELECT text FROM twitter WHERE Likes = ( SELECT MAX( Likes) FROM twitter )"
],
"neg": [
"SELECT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.TweetID = 'tw-715909161071091712'",
"SELECT T2.City FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID ORDER BY T1.RetweetCount DESC LIMIT 1",
"SELECT T2.City FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.Country = 'Argentina' GROUP BY T2.City ORDER BY COUNT(T1.TweetID) DESC LIMIT 1",
"SELECT SUM(CASE WHEN T2.City = 'Bangkok' THEN Likes ELSE NULL END) / COUNT(CASE WHEN T2.City = 'Bangkok' THEN 1 ELSE 0 END) AS bNum , SUM(CASE WHEN City = 'Chiang Mai' THEN Likes ELSE NULL END) / COUNT(CASE WHEN City = 'Chiang Mai' THEN TweetID ELSE NULL END) AS cNum FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.City IN ('Bangkok', 'Chiang Mai')",
"SELECT COUNT(TweetID) AS tweet_number FROM twitter WHERE Reach > 1000",
"SELECT DISTINCT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.RetweetCount > 30",
"SELECT COUNT(TweetID) AS tweet_number FROM twitter WHERE Sentiment > 0 AND Weekday = 'Thursday'",
"SELECT SUM(CASE WHEN T1.Sentiment > 0 THEN 1 ELSE 0 END) - SUM(CASE WHEN T1.Sentiment = 0 THEN 1 ELSE 0 END) AS diff FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male'",
"SELECT T1.text FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Unknown'",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID INNER JOIN user AS T3 ON T3.UserID = T1.UserID WHERE T2.Country = 'Australia' AND T3.Gender = 'Male' AND T1.Sentiment > 0"
]
}
|
{
"query": "Please list the top 3 cities with the most number of tweets posted in Canada.",
"pos": [
"SELECT T.City FROM ( SELECT T2.City, COUNT(T1.TweetID) AS num FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.Country = 'Canada' GROUP BY T2.City ) T ORDER BY T.num DESC LIMIT 3"
],
"neg": [
"SELECT DISTINCT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.RetweetCount > 30",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.Likes > 10 AND T2.Gender = 'Male'",
"SELECT COUNT(DISTINCT T1.TweetID) / COUNT(DISTINCT T1.UserID) / 7 AS avg FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male' AND T1.Day BETWEEN 1 AND 31",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.State = 'Texas' AND T1.IsReshare = 'TRUE'",
"SELECT T2.City FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID ORDER BY T1.RetweetCount DESC LIMIT 1",
"SELECT T1.text FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male' AND T1.Lang = 'fr'",
"SELECT T2.City FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.Country = 'Argentina' GROUP BY T2.City ORDER BY COUNT(T1.TweetID) DESC LIMIT 1",
"SELECT DISTINCT T1.Lang FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.Country = 'Brazil'",
"SELECT DISTINCT T2.City FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE Sentiment = 0",
"SELECT T1.text FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID INNER JOIN user AS T2 ON T2.UserID = T1.UserID INNER JOIN user AS T3 ON T1.UserID = T3.UserID WHERE T2.City = 'Buenos Aires' AND T3.Gender = 'Male'"
]
}
|
{
"query": "What gender of users posted the most tweets in `en`?",
"pos": [
"SELECT T.Gender FROM ( SELECT T2.Gender, COUNT( text) AS num FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.Lang = 'en' GROUP BY T2.Gender ) T ORDER BY T.num DESC LIMIT 1"
],
"neg": [
"SELECT T2.City FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID ORDER BY T1.RetweetCount DESC LIMIT 1",
"SELECT DISTINCT T2.City FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE Sentiment = 0",
"SELECT SUM(CASE WHEN T2.City = 'Bangkok' THEN Likes ELSE NULL END) / COUNT(CASE WHEN T2.City = 'Bangkok' THEN 1 ELSE 0 END) AS bNum , SUM(CASE WHEN City = 'Chiang Mai' THEN Likes ELSE NULL END) / COUNT(CASE WHEN City = 'Chiang Mai' THEN TweetID ELSE NULL END) AS cNum FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.City IN ('Bangkok', 'Chiang Mai')",
"SELECT T1.text FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.Country = 'Australia'",
"SELECT COUNT(TweetID) AS tweet_number FROM twitter WHERE Sentiment > 0 AND Weekday = 'Thursday'",
"SELECT T2.StateCode FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T1.TweetID = 'tw-685681052912873473'",
"SELECT T1.text FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Unknown'",
"SELECT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.RetweetCount = 535",
"SELECT text FROM twitter WHERE Weekday = 'Thursday'",
"SELECT T2.text FROM user AS T1 INNER JOIN twitter AS T2 ON T1.UserID = T2.UserID INNER JOIN location AS T3 ON T2.LocationID = T3.LocationID WHERE T3.Country = 'Argentina' AND T1.Gender = 'Male' ORDER BY T2.Likes DESC LIMIT 1"
]
}
|
{
"query": "Calculate the average number of male users who posted tweets in a week.",
"pos": [
"SELECT COUNT(DISTINCT T1.TweetID) / COUNT(DISTINCT T1.UserID) / 7 AS avg FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male' AND T1.Day BETWEEN 1 AND 31"
],
"neg": [
"SELECT COUNT(T1.UserID) FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Female' AND T1.IsReshare = 'TRUE'",
"SELECT COUNT(DISTINCT TweetID) FROM twitter WHERE Weekday = 'Monday' AND IsReshare = 'TRUE'",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.City = 'Buenos Aires' AND T1.IsReshare = 'TRUE'",
"SELECT SUM(CASE WHEN T2.Gender = 'Male' THEN 1.0 ELSE 0 END) / COUNT(T1.TweetID) AS per FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.Sentiment > 0",
"SELECT COUNT(TweetID) AS tweet_number FROM twitter WHERE Reach > 1000",
"SELECT COUNT(TweetID) AS tweet_number FROM twitter WHERE Sentiment > 0 AND Weekday = 'Thursday'",
"SELECT City FROM location WHERE City IS NOT NULL AND Country = 'Argentina'",
"SELECT T2.text FROM user AS T1 INNER JOIN twitter AS T2 ON T1.UserID = T2.UserID INNER JOIN location AS T3 ON T2.LocationID = T3.LocationID WHERE T3.Country = 'Argentina' AND T1.Gender = 'Male' ORDER BY T2.Likes DESC LIMIT 1",
"SELECT T2.Country FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID ORDER BY T1.Likes DESC LIMIT 1",
"SELECT SUM(CASE WHEN T1.Sentiment > 0 THEN 1 ELSE 0 END) - SUM(CASE WHEN T1.Sentiment = 0 THEN 1 ELSE 0 END) AS diff FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male'"
]
}
|
{
"query": "How many tweets are in English?",
"pos": [
"SELECT COUNT(TweetID) AS tweet_number FROM twitter WHERE Lang = 'en'"
],
"neg": [
"SELECT SUM(T1.Likes) / COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male' AND T1.Weekday = 'Monday'",
"SELECT T2.text FROM user AS T1 INNER JOIN twitter AS T2 ON T1.UserID = T2.UserID INNER JOIN location AS T3 ON T2.LocationID = T3.LocationID WHERE T3.Country = 'Argentina' AND T1.Gender = 'Male' ORDER BY T2.Likes DESC LIMIT 1",
"SELECT T1.text FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID INNER JOIN user AS T2 ON T2.UserID = T1.UserID INNER JOIN user AS T3 ON T1.UserID = T3.UserID WHERE T2.City = 'Buenos Aires' AND T3.Gender = 'Male'",
"SELECT Reach FROM twitter WHERE text = 'Happy New Year to all those AWS instances of ours!'",
"SELECT COUNT(DISTINCT T1.TweetID) / COUNT(DISTINCT T1.UserID) / 7 AS avg FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male' AND T1.Day BETWEEN 1 AND 31",
"SELECT SUM(CASE WHEN T2.City = 'Bangkok' THEN Likes ELSE NULL END) / COUNT(CASE WHEN T2.City = 'Bangkok' THEN 1 ELSE 0 END) AS bNum , SUM(CASE WHEN City = 'Chiang Mai' THEN Likes ELSE NULL END) / COUNT(CASE WHEN City = 'Chiang Mai' THEN TweetID ELSE NULL END) AS cNum FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.City IN ('Bangkok', 'Chiang Mai')",
"SELECT T.City FROM ( SELECT T2.City, COUNT(T1.TweetID) AS num FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.Country = 'Canada' GROUP BY T2.City ) T ORDER BY T.num DESC LIMIT 3",
"SELECT SUM(CASE WHEN T1.Sentiment > 0 THEN 1 ELSE 0 END) - SUM(CASE WHEN T1.Sentiment = 0 THEN 1 ELSE 0 END) AS diff FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male'",
"SELECT DISTINCT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.RetweetCount > 30",
"SELECT DISTINCT T1.Lang FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.Country = 'Brazil'"
]
}
|
{
"query": "What gender of users retweet more than 30 times?",
"pos": [
"SELECT DISTINCT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.RetweetCount > 30"
],
"neg": [
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID INNER JOIN user AS T3 ON T3.UserID = T1.UserID WHERE T2.Country = 'Australia' AND T3.Gender = 'Male' AND T1.Sentiment > 0",
"SELECT COUNT(DISTINCT T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T1.Lang = 'fr' AND T2.Country = 'Australia'",
"SELECT T.Gender FROM ( SELECT T2.Gender, COUNT( text) AS num FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.Lang = 'en' GROUP BY T2.Gender ) T ORDER BY T.num DESC LIMIT 1",
"SELECT T2.text FROM user AS T1 INNER JOIN twitter AS T2 ON T1.UserID = T2.UserID INNER JOIN location AS T3 ON T2.LocationID = T3.LocationID WHERE T3.Country = 'Argentina' AND T1.Gender = 'Male' ORDER BY T2.Likes DESC LIMIT 1",
"SELECT DISTINCT T2.City FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE Sentiment = 0",
"SELECT T2.Country FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.Country IN ('Argentina', 'Australia') AND T1.Sentiment > 0 GROUP BY T2.Country ORDER BY COUNT(T1.TweetID) DESC LIMIT 1",
"SELECT COUNT(TweetID) AS tweet_number FROM twitter WHERE Lang = 'en'",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T1.Day = 31 AND T2.State = 'Santa' AND T2.Country = 'Argentina'",
"SELECT COUNT(DISTINCT TweetID) FROM twitter WHERE Weekday = 'Monday' AND IsReshare = 'TRUE'",
"SELECT T1.text FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Unknown'"
]
}
|
{
"query": "List down all the tweet text posted from Australia.",
"pos": [
"SELECT T1.text FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.Country = 'Australia'"
],
"neg": [
"SELECT T1.text FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male' AND T1.Lang = 'fr'",
"SELECT SUM(CASE WHEN T2.City = 'Bangkok' THEN Likes ELSE NULL END) / COUNT(CASE WHEN T2.City = 'Bangkok' THEN 1 ELSE 0 END) AS bNum , SUM(CASE WHEN City = 'Chiang Mai' THEN Likes ELSE NULL END) / COUNT(CASE WHEN City = 'Chiang Mai' THEN TweetID ELSE NULL END) AS cNum FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.City IN ('Bangkok', 'Chiang Mai')",
"SELECT COUNT(TweetID) AS tweet_number FROM twitter WHERE Sentiment > 0 AND Weekday = 'Thursday'",
"SELECT T2.StateCode FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T1.TweetID = 'tw-685681052912873473'",
"SELECT T2.City FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.Country = 'Argentina' GROUP BY T2.City ORDER BY COUNT(T1.TweetID) DESC LIMIT 1",
"SELECT T2.Country FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.Country IN ('Argentina', 'Australia') AND T1.Sentiment > 0 GROUP BY T2.Country ORDER BY COUNT(T1.TweetID) DESC LIMIT 1",
"SELECT Weekday FROM twitter WHERE TweetID = 'tw-682712873332805633'",
"SELECT SUM(CASE WHEN T2.Gender = 'Male' THEN 1.0 ELSE 0 END) / COUNT(T1.TweetID) AS per FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.Sentiment > 0",
"SELECT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.RetweetCount = 535",
"SELECT Reach FROM twitter WHERE text = 'Happy New Year to all those AWS instances of ours!'"
]
}
|
{
"query": "Tweets posted from which city has a higher number of average likes, Bangkok or Chiang Mai?",
"pos": [
"SELECT SUM(CASE WHEN T2.City = 'Bangkok' THEN Likes ELSE NULL END) / COUNT(CASE WHEN T2.City = 'Bangkok' THEN 1 ELSE 0 END) AS bNum , SUM(CASE WHEN City = 'Chiang Mai' THEN Likes ELSE NULL END) / COUNT(CASE WHEN City = 'Chiang Mai' THEN TweetID ELSE NULL END) AS cNum FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.City IN ('Bangkok', 'Chiang Mai')"
],
"neg": [
"SELECT COUNT(T1.UserID) FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Female' AND T1.IsReshare = 'TRUE'",
"SELECT Reach FROM twitter WHERE text = 'Happy New Year to all those AWS instances of ours!'",
"SELECT T1.text FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID INNER JOIN user AS T2 ON T2.UserID = T1.UserID INNER JOIN user AS T3 ON T1.UserID = T3.UserID WHERE T2.City = 'Buenos Aires' AND T3.Gender = 'Male'",
"SELECT T2.Country FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID ORDER BY T1.Likes DESC LIMIT 1",
"SELECT DISTINCT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.RetweetCount > 30",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T1.Weekday = 'Thursday' AND T2.State = 'Michigan'",
"SELECT COUNT(TweetID) AS tweet_number FROM twitter WHERE Sentiment > 0 AND Weekday = 'Thursday'",
"SELECT SUM(CASE WHEN T2.City = 'Buenos Aires' THEN 1.0 ELSE 0 END) / COUNT(T1.TweetID) AS avg FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.Country = 'Argentina'",
"SELECT T2.Country FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.Country IN ('Argentina', 'Australia') AND T1.Sentiment > 0 GROUP BY T2.Country ORDER BY COUNT(T1.TweetID) DESC LIMIT 1",
"SELECT COUNT(DISTINCT T1.TweetID) / COUNT(DISTINCT T1.UserID) / 7 AS avg FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male' AND T1.Day BETWEEN 1 AND 31"
]
}
|
{
"query": "State the country where the most positive sentiment tweets were posted.",
"pos": [
"SELECT T.Country FROM ( SELECT T2.Country, SUM(T1.Sentiment) AS num FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T1.Sentiment > 0 GROUP BY T2.Country ) T ORDER BY T.num DESC LIMIT 1"
],
"neg": [
"SELECT COUNT(DISTINCT T1.TweetID) / COUNT(DISTINCT T1.UserID) / 7 AS avg FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male' AND T1.Day BETWEEN 1 AND 31",
"SELECT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID ORDER BY T1.Reach DESC LIMIT 1",
"SELECT text FROM twitter WHERE Likes = ( SELECT MAX( Likes) FROM twitter )",
"SELECT T2.Country FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID ORDER BY T1.Likes DESC LIMIT 1",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.State = 'Texas' AND T1.IsReshare = 'TRUE'",
"SELECT DISTINCT T1.Lang FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.Country = 'Brazil'",
"SELECT T2.text FROM user AS T1 INNER JOIN twitter AS T2 ON T1.UserID = T2.UserID INNER JOIN location AS T3 ON T2.LocationID = T3.LocationID WHERE T3.Country = 'Argentina' AND T1.Gender = 'Male' ORDER BY T2.Likes DESC LIMIT 1",
"SELECT COUNT(TweetID) AS tweet_number FROM twitter WHERE Lang = 'en'",
"SELECT Reach FROM twitter WHERE text = 'Happy New Year to all those AWS instances of ours!'",
"SELECT SUM(CASE WHEN T2.Gender = 'Male' THEN 1.0 ELSE 0 END) / COUNT(T1.TweetID) AS per FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.Sentiment > 0"
]
}
|
{
"query": "What is the average number of likes for a tweet posted by a male user on Mondays?",
"pos": [
"SELECT SUM(T1.Likes) / COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male' AND T1.Weekday = 'Monday'"
],
"neg": [
"SELECT T2.text FROM user AS T1 INNER JOIN twitter AS T2 ON T1.UserID = T2.UserID INNER JOIN location AS T3 ON T2.LocationID = T3.LocationID WHERE T3.Country = 'Argentina' AND T1.Gender = 'Male' ORDER BY T2.Likes DESC LIMIT 1",
"SELECT DISTINCT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.RetweetCount > 30",
"SELECT DISTINCT T1.Lang FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.Country = 'Brazil'",
"SELECT COUNT(TweetID) AS tweet_number FROM twitter WHERE Reach > 1000",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.State = 'Texas' AND T1.IsReshare = 'TRUE'",
"SELECT T1.text FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID INNER JOIN user AS T2 ON T2.UserID = T1.UserID INNER JOIN user AS T3 ON T1.UserID = T3.UserID WHERE T2.City = 'Buenos Aires' AND T3.Gender = 'Male'",
"SELECT T.Gender FROM ( SELECT T2.Gender, COUNT( text) AS num FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.Lang = 'en' GROUP BY T2.Gender ) T ORDER BY T.num DESC LIMIT 1",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.Likes > 10 AND T2.Gender = 'Male'",
"SELECT T2.Country FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID ORDER BY T1.Likes DESC LIMIT 1",
"SELECT COUNT(TweetID) AS tweet_number FROM twitter WHERE Lang = 'en'"
]
}
|
{
"query": "How many unique users have seen tweet with text `Happy New Year to all those AWS instances of ours!`?",
"pos": [
"SELECT Reach FROM twitter WHERE text = 'Happy New Year to all those AWS instances of ours!'"
],
"neg": [
"SELECT T2.City FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID ORDER BY T1.RetweetCount DESC LIMIT 1",
"SELECT SUM(CASE WHEN T2.City = 'Bangkok' THEN Likes ELSE NULL END) / COUNT(CASE WHEN T2.City = 'Bangkok' THEN 1 ELSE 0 END) AS bNum , SUM(CASE WHEN City = 'Chiang Mai' THEN Likes ELSE NULL END) / COUNT(CASE WHEN City = 'Chiang Mai' THEN TweetID ELSE NULL END) AS cNum FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.City IN ('Bangkok', 'Chiang Mai')",
"SELECT SUM(CASE WHEN T1.Sentiment > 0 THEN 1 ELSE 0 END) - SUM(CASE WHEN T1.Sentiment = 0 THEN 1 ELSE 0 END) AS diff FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male'",
"SELECT T1.text FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Unknown'",
"SELECT text FROM twitter WHERE Likes = ( SELECT MAX( Likes) FROM twitter )",
"SELECT T2.City FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.Country = 'Argentina' GROUP BY T2.City ORDER BY COUNT(T1.TweetID) DESC LIMIT 1",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.City = 'Buenos Aires' AND T1.IsReshare = 'TRUE'",
"SELECT COUNT(DISTINCT T1.TweetID) / COUNT(DISTINCT T1.UserID) / 7 AS avg FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male' AND T1.Day BETWEEN 1 AND 31",
"SELECT T2.StateCode FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T1.TweetID = 'tw-685681052912873473'",
"SELECT COUNT(DISTINCT T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T1.Lang = 'fr' AND T2.Country = 'Australia'"
]
}
|
{
"query": "Among all the tweets with a positive sentiment, what is the percentage of those posted by a male user?",
"pos": [
"SELECT SUM(CASE WHEN T2.Gender = 'Male' THEN 1.0 ELSE 0 END) / COUNT(T1.TweetID) AS per FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.Sentiment > 0"
],
"neg": [
"SELECT T2.Country FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID ORDER BY T1.Likes DESC LIMIT 1",
"SELECT COUNT(DISTINCT TweetID) FROM twitter WHERE Weekday = 'Monday' AND IsReshare = 'TRUE'",
"SELECT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.TweetID = 'tw-682714583044243456'",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.State = 'Texas' AND T1.IsReshare = 'TRUE'",
"SELECT City FROM location WHERE City IS NOT NULL AND Country = 'Argentina'",
"SELECT T.Country FROM ( SELECT T2.Country, SUM(T1.Sentiment) AS num FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T1.Sentiment > 0 GROUP BY T2.Country ) T ORDER BY T.num DESC LIMIT 1",
"SELECT COUNT(DISTINCT TweetID) FROM twitter WHERE Lang = 'en'",
"SELECT DISTINCT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.RetweetCount > 30",
"SELECT COUNT(DISTINCT T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T1.Lang = 'fr' AND T2.Country = 'Australia'",
"SELECT T1.text FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.City = 'Rawang' AND T2.State = 'Selangor' AND T2.Country = 'Malaysia'"
]
}
|
{
"query": "Tweets that were posted from Brazil are in what languague?",
"pos": [
"SELECT DISTINCT T1.Lang FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.Country = 'Brazil'"
],
"neg": [
"SELECT T2.StateCode FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T1.TweetID = 'tw-685681052912873473'",
"SELECT T2.City FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID ORDER BY T1.RetweetCount DESC LIMIT 1",
"SELECT T1.text FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.City = 'Rawang' AND T2.State = 'Selangor' AND T2.Country = 'Malaysia'",
"SELECT Weekday FROM twitter WHERE TweetID = 'tw-682712873332805633'",
"SELECT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID ORDER BY T1.Reach DESC LIMIT 1",
"SELECT SUM(CASE WHEN T2.City = 'Buenos Aires' THEN 1.0 ELSE 0 END) / COUNT(T1.TweetID) AS avg FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.Country = 'Argentina'",
"SELECT COUNT(DISTINCT TweetID) FROM twitter WHERE Weekday = 'Monday' AND IsReshare = 'TRUE'",
"SELECT T1.text FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.Country = 'Australia'",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.City = 'Buenos Aires' AND T1.IsReshare = 'TRUE'",
"SELECT DISTINCT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.RetweetCount > 30"
]
}
|
{
"query": "Please list all the cities in Argentina.",
"pos": [
"SELECT City FROM location WHERE City IS NOT NULL AND Country = 'Argentina'"
],
"neg": [
"SELECT T2.City FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.Country = 'Argentina' GROUP BY T2.City ORDER BY COUNT(T1.TweetID) DESC LIMIT 1",
"SELECT SUM(CASE WHEN T2.City = 'Bangkok' THEN Likes ELSE NULL END) / COUNT(CASE WHEN T2.City = 'Bangkok' THEN 1 ELSE 0 END) AS bNum , SUM(CASE WHEN City = 'Chiang Mai' THEN Likes ELSE NULL END) / COUNT(CASE WHEN City = 'Chiang Mai' THEN TweetID ELSE NULL END) AS cNum FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.City IN ('Bangkok', 'Chiang Mai')",
"SELECT T1.text FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Unknown'",
"SELECT COUNT(DISTINCT T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T1.Lang = 'fr' AND T2.Country = 'Australia'",
"SELECT T1.text FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male' AND T1.Lang = 'fr'",
"SELECT Reach FROM twitter WHERE text = 'Happy New Year to all those AWS instances of ours!'",
"SELECT T2.Country FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.Country IN ('Argentina', 'Australia') AND T1.Sentiment > 0 GROUP BY T2.Country ORDER BY COUNT(T1.TweetID) DESC LIMIT 1",
"SELECT COUNT(DISTINCT TweetID) FROM twitter WHERE Lang = 'en'",
"SELECT COUNT(T1.UserID) FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Female' AND T1.IsReshare = 'TRUE'",
"SELECT T.Country FROM ( SELECT T2.Country, SUM(T1.Sentiment) AS num FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T1.Sentiment > 0 GROUP BY T2.Country ) T ORDER BY T.num DESC LIMIT 1"
]
}
|
{
"query": "What is the gender of the user who posted a tweet with ID tw-682714583044243456?",
"pos": [
"SELECT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.TweetID = 'tw-682714583044243456'"
],
"neg": [
"SELECT COUNT(TweetID) AS tweet_number FROM twitter WHERE Reach > 1000",
"SELECT SUM(CASE WHEN T2.Gender = 'Male' THEN 1.0 ELSE 0 END) / COUNT(T1.TweetID) AS per FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.Sentiment > 0",
"SELECT text FROM twitter WHERE Weekday = 'Thursday'",
"SELECT COUNT(T1.UserID) FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Female' AND T1.IsReshare = 'TRUE'",
"SELECT SUM(CASE WHEN T2.City = 'Buenos Aires' THEN 1.0 ELSE 0 END) / COUNT(T1.TweetID) AS avg FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.Country = 'Argentina'",
"SELECT SUM(T1.Likes) / COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male' AND T1.Weekday = 'Monday'",
"SELECT T2.text FROM user AS T1 INNER JOIN twitter AS T2 ON T1.UserID = T2.UserID INNER JOIN location AS T3 ON T2.LocationID = T3.LocationID WHERE T3.Country = 'Argentina' AND T1.Gender = 'Male' ORDER BY T2.Likes DESC LIMIT 1",
"SELECT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.RetweetCount = 535",
"SELECT DISTINCT T1.Lang FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.Country = 'Brazil'",
"SELECT T1.text FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.City = 'Rawang' AND T2.State = 'Selangor' AND T2.Country = 'Malaysia'"
]
}
|
{
"query": "From which country is the tweet with the most likes posted?",
"pos": [
"SELECT T2.Country FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID ORDER BY T1.Likes DESC LIMIT 1"
],
"neg": [
"SELECT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.RetweetCount = 535",
"SELECT Reach FROM twitter WHERE text = 'Happy New Year to all those AWS instances of ours!'",
"SELECT T1.text FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID INNER JOIN user AS T2 ON T2.UserID = T1.UserID INNER JOIN user AS T3 ON T1.UserID = T3.UserID WHERE T2.City = 'Buenos Aires' AND T3.Gender = 'Male'",
"SELECT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.TweetID = 'tw-715909161071091712'",
"SELECT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.TweetID = 'tw-682714583044243456'",
"SELECT SUM(CASE WHEN T1.Sentiment > 0 THEN 1.0 ELSE 0 END) / COUNT(T1.TweetID) AS percentage FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE State = 'California'",
"SELECT COUNT(TweetID) AS tweet_number FROM twitter WHERE Reach > 1000",
"SELECT T2.text FROM user AS T1 INNER JOIN twitter AS T2 ON T1.UserID = T2.UserID INNER JOIN location AS T3 ON T2.LocationID = T3.LocationID WHERE T3.Country = 'Argentina' AND T1.Gender = 'Male' ORDER BY T2.Likes DESC LIMIT 1",
"SELECT T2.City FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID ORDER BY T1.RetweetCount DESC LIMIT 1",
"SELECT SUM(CASE WHEN T2.Gender = 'Male' THEN 1.0 ELSE 0 END) / COUNT(T1.TweetID) AS per FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.Sentiment > 0"
]
}
|
{
"query": "What is the gender of the user who tweeted `tw-715909161071091712`?",
"pos": [
"SELECT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.TweetID = 'tw-715909161071091712'"
],
"neg": [
"SELECT SUM(CASE WHEN T2.Gender = 'Male' THEN 1.0 ELSE 0 END) / COUNT(T1.TweetID) AS per FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.Sentiment > 0",
"SELECT T2.Country FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.Country IN ('Argentina', 'Australia') AND T1.Sentiment > 0 GROUP BY T2.Country ORDER BY COUNT(T1.TweetID) DESC LIMIT 1",
"SELECT COUNT(TweetID) AS tweet_number FROM twitter WHERE Reach > 1000",
"SELECT text FROM twitter WHERE Weekday = 'Thursday'",
"SELECT DISTINCT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.RetweetCount > 30",
"SELECT T1.text FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male' AND T1.Lang = 'fr'",
"SELECT T2.Country FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID ORDER BY T1.Likes DESC LIMIT 1",
"SELECT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.TweetID = 'tw-682714583044243456'",
"SELECT T2.City FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.Country = 'Argentina' GROUP BY T2.City ORDER BY COUNT(T1.TweetID) DESC LIMIT 1",
"SELECT SUM(CASE WHEN T2.City = 'Bangkok' THEN Likes ELSE NULL END) / COUNT(CASE WHEN T2.City = 'Bangkok' THEN 1 ELSE 0 END) AS bNum , SUM(CASE WHEN City = 'Chiang Mai' THEN Likes ELSE NULL END) / COUNT(CASE WHEN City = 'Chiang Mai' THEN TweetID ELSE NULL END) AS cNum FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.City IN ('Bangkok', 'Chiang Mai')"
]
}
|
{
"query": "From which city was the tweet with the most number of retweets posted?",
"pos": [
"SELECT T2.City FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID ORDER BY T1.RetweetCount DESC LIMIT 1"
],
"neg": [
"SELECT DISTINCT T1.Lang FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.Country = 'Brazil'",
"SELECT T1.text FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.Country = 'Australia'",
"SELECT T.Gender FROM ( SELECT T2.Gender, COUNT( text) AS num FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.Lang = 'en' GROUP BY T2.Gender ) T ORDER BY T.num DESC LIMIT 1",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.Likes > 10 AND T2.Gender = 'Male'",
"SELECT COUNT(TweetID) AS tweet_number FROM twitter WHERE Reach > 1000",
"SELECT T1.text FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID INNER JOIN user AS T2 ON T2.UserID = T1.UserID INNER JOIN user AS T3 ON T1.UserID = T3.UserID WHERE T2.City = 'Buenos Aires' AND T3.Gender = 'Male'",
"SELECT SUM(CASE WHEN T2.City = 'Buenos Aires' THEN 1.0 ELSE 0 END) / COUNT(T1.TweetID) AS avg FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.Country = 'Argentina'",
"SELECT T2.Country FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.Country IN ('Argentina', 'Australia') AND T1.Sentiment > 0 GROUP BY T2.Country ORDER BY COUNT(T1.TweetID) DESC LIMIT 1",
"SELECT T1.text FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.City = 'Rawang' AND T2.State = 'Selangor' AND T2.Country = 'Malaysia'",
"SELECT COUNT(DISTINCT TweetID) FROM twitter WHERE Weekday = 'Monday' AND IsReshare = 'TRUE'"
]
}
|
{
"query": "How many female users reshared their tweets?",
"pos": [
"SELECT COUNT(T1.UserID) FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Female' AND T1.IsReshare = 'TRUE'"
],
"neg": [
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T1.Day = 31 AND T2.State = 'Santa' AND T2.Country = 'Argentina'",
"SELECT T.Gender FROM ( SELECT T2.Gender, COUNT( text) AS num FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.Lang = 'en' GROUP BY T2.Gender ) T ORDER BY T.num DESC LIMIT 1",
"SELECT SUM(CASE WHEN T1.Sentiment > 0 THEN 1 ELSE 0 END) - SUM(CASE WHEN T1.Sentiment = 0 THEN 1 ELSE 0 END) AS diff FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male'",
"SELECT T2.City FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.Country = 'Argentina' GROUP BY T2.City ORDER BY COUNT(T1.TweetID) DESC LIMIT 1",
"SELECT COUNT(DISTINCT TweetID) FROM twitter WHERE Lang = 'en'",
"SELECT T1.text FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Unknown'",
"SELECT T1.text FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID INNER JOIN user AS T2 ON T2.UserID = T1.UserID INNER JOIN user AS T3 ON T1.UserID = T3.UserID WHERE T2.City = 'Buenos Aires' AND T3.Gender = 'Male'",
"SELECT SUM(CASE WHEN T2.City = 'Bangkok' THEN Likes ELSE NULL END) / COUNT(CASE WHEN T2.City = 'Bangkok' THEN 1 ELSE 0 END) AS bNum , SUM(CASE WHEN City = 'Chiang Mai' THEN Likes ELSE NULL END) / COUNT(CASE WHEN City = 'Chiang Mai' THEN TweetID ELSE NULL END) AS cNum FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.City IN ('Bangkok', 'Chiang Mai')",
"SELECT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.TweetID = 'tw-682714583044243456'",
"SELECT T2.text FROM user AS T1 INNER JOIN twitter AS T2 ON T1.UserID = T2.UserID INNER JOIN location AS T3 ON T2.LocationID = T3.LocationID WHERE T3.Country = 'Argentina' AND T1.Gender = 'Male' ORDER BY T2.Likes DESC LIMIT 1"
]
}
|
{
"query": "Among all the tweets that are reshared, how many of them are posted by a user in Buenos Aires?",
"pos": [
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.City = 'Buenos Aires' AND T1.IsReshare = 'TRUE'"
],
"neg": [
"SELECT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID ORDER BY T1.Reach DESC LIMIT 1",
"SELECT T2.City FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID ORDER BY T1.RetweetCount DESC LIMIT 1",
"SELECT Reach FROM twitter WHERE text = 'Happy New Year to all those AWS instances of ours!'",
"SELECT T2.text FROM user AS T1 INNER JOIN twitter AS T2 ON T1.UserID = T2.UserID INNER JOIN location AS T3 ON T2.LocationID = T3.LocationID WHERE T3.Country = 'Argentina' AND T1.Gender = 'Male' ORDER BY T2.Likes DESC LIMIT 1",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T1.Weekday = 'Thursday' AND T2.State = 'Michigan'",
"SELECT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.RetweetCount = 535",
"SELECT SUM(CASE WHEN T2.Gender = 'Male' THEN 1.0 ELSE 0 END) / COUNT(T1.TweetID) AS per FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.Sentiment > 0",
"SELECT T.City FROM ( SELECT T2.City, COUNT(T1.TweetID) AS num FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.Country = 'Canada' GROUP BY T2.City ) T ORDER BY T.num DESC LIMIT 3",
"SELECT T1.text FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male' AND T1.Lang = 'fr'",
"SELECT SUM(CASE WHEN T2.City = 'Bangkok' THEN Likes ELSE NULL END) / COUNT(CASE WHEN T2.City = 'Bangkok' THEN 1 ELSE 0 END) AS bNum , SUM(CASE WHEN City = 'Chiang Mai' THEN Likes ELSE NULL END) / COUNT(CASE WHEN City = 'Chiang Mai' THEN TweetID ELSE NULL END) AS cNum FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.City IN ('Bangkok', 'Chiang Mai')"
]
}
|
{
"query": "What is the day of the week that tweet with ID tw-682712873332805633 was posted?",
"pos": [
"SELECT Weekday FROM twitter WHERE TweetID = 'tw-682712873332805633'"
],
"neg": [
"SELECT COUNT(TweetID) AS tweet_number FROM twitter WHERE Lang = 'en'",
"SELECT SUM(CASE WHEN T1.Sentiment > 0 THEN 1.0 ELSE 0 END) / COUNT(T1.TweetID) AS percentage FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE State = 'California'",
"SELECT T1.text FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.Country = 'Australia'",
"SELECT T1.text FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.City = 'Rawang' AND T2.State = 'Selangor' AND T2.Country = 'Malaysia'",
"SELECT T2.text FROM user AS T1 INNER JOIN twitter AS T2 ON T1.UserID = T2.UserID INNER JOIN location AS T3 ON T2.LocationID = T3.LocationID WHERE T3.Country = 'Argentina' AND T1.Gender = 'Male' ORDER BY T2.Likes DESC LIMIT 1",
"SELECT DISTINCT T1.Lang FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.Country = 'Brazil'",
"SELECT COUNT(T1.UserID) FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Female' AND T1.IsReshare = 'TRUE'",
"SELECT City FROM location WHERE City IS NOT NULL AND Country = 'Argentina'",
"SELECT SUM(T1.Likes) / COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male' AND T1.Weekday = 'Monday'",
"SELECT COUNT(TweetID) AS tweet_number FROM twitter WHERE Reach > 1000"
]
}
|
{
"query": "Write down the tweet text posted from Rawang, Selangor, Malaysia.",
"pos": [
"SELECT T1.text FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.City = 'Rawang' AND T2.State = 'Selangor' AND T2.Country = 'Malaysia'"
],
"neg": [
"SELECT T2.Country FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID ORDER BY T1.Likes DESC LIMIT 1",
"SELECT T.Gender FROM ( SELECT T2.Gender, COUNT( text) AS num FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.Lang = 'en' GROUP BY T2.Gender ) T ORDER BY T.num DESC LIMIT 1",
"SELECT SUM(CASE WHEN T1.Sentiment > 0 THEN 1.0 ELSE 0 END) / COUNT(T1.TweetID) AS percentage FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE State = 'California'",
"SELECT SUM(CASE WHEN T1.Sentiment > 0 THEN 1 ELSE 0 END) - SUM(CASE WHEN T1.Sentiment = 0 THEN 1 ELSE 0 END) AS diff FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male'",
"SELECT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.RetweetCount = 535",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T1.Day = 31 AND T2.State = 'Santa' AND T2.Country = 'Argentina'",
"SELECT T2.Country FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.Country IN ('Argentina', 'Australia') AND T1.Sentiment > 0 GROUP BY T2.Country ORDER BY COUNT(T1.TweetID) DESC LIMIT 1",
"SELECT COUNT(TweetID) AS tweet_number FROM twitter WHERE Reach > 1000",
"SELECT text FROM twitter WHERE Weekday = 'Thursday'",
"SELECT Weekday FROM twitter WHERE TweetID = 'tw-682712873332805633'"
]
}
|
{
"query": "How many more tweets with a positive sentiment than the tweets with a neutral sentiment were posted by male users?",
"pos": [
"SELECT SUM(CASE WHEN T1.Sentiment > 0 THEN 1 ELSE 0 END) - SUM(CASE WHEN T1.Sentiment = 0 THEN 1 ELSE 0 END) AS diff FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male'"
],
"neg": [
"SELECT T1.text FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.City = 'Rawang' AND T2.State = 'Selangor' AND T2.Country = 'Malaysia'",
"SELECT COUNT(DISTINCT T1.TweetID) / COUNT(DISTINCT T1.UserID) / 7 AS avg FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male' AND T1.Day BETWEEN 1 AND 31",
"SELECT Reach FROM twitter WHERE text = 'Happy New Year to all those AWS instances of ours!'",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID INNER JOIN user AS T3 ON T3.UserID = T1.UserID WHERE T2.Country = 'Australia' AND T3.Gender = 'Male' AND T1.Sentiment > 0",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.State = 'Texas' AND T1.IsReshare = 'TRUE'",
"SELECT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.TweetID = 'tw-715909161071091712'",
"SELECT COUNT(DISTINCT TweetID) FROM twitter WHERE Weekday = 'Monday' AND IsReshare = 'TRUE'",
"SELECT SUM(CASE WHEN T1.Sentiment > 0 THEN 1.0 ELSE 0 END) / COUNT(T1.TweetID) AS percentage FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE State = 'California'",
"SELECT text FROM twitter WHERE Likes = ( SELECT MAX( Likes) FROM twitter )",
"SELECT T1.text FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID INNER JOIN user AS T2 ON T2.UserID = T1.UserID INNER JOIN user AS T3 ON T1.UserID = T3.UserID WHERE T2.City = 'Buenos Aires' AND T3.Gender = 'Male'"
]
}
|
{
"query": "Among all the tweets that have a positive sentiment, how many of them are posted on Thursday?",
"pos": [
"SELECT COUNT(TweetID) AS tweet_number FROM twitter WHERE Sentiment > 0 AND Weekday = 'Thursday'"
],
"neg": [
"SELECT SUM(CASE WHEN T2.City = 'Buenos Aires' THEN 1.0 ELSE 0 END) / COUNT(T1.TweetID) AS avg FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.Country = 'Argentina'",
"SELECT T2.text FROM user AS T1 INNER JOIN twitter AS T2 ON T1.UserID = T2.UserID INNER JOIN location AS T3 ON T2.LocationID = T3.LocationID WHERE T3.Country = 'Argentina' AND T1.Gender = 'Male' ORDER BY T2.Likes DESC LIMIT 1",
"SELECT COUNT(TweetID) AS tweet_number FROM twitter WHERE Reach > 1000",
"SELECT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.TweetID = 'tw-715909161071091712'",
"SELECT T1.text FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.Country = 'Australia'",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T1.Weekday = 'Thursday' AND T2.State = 'Michigan'",
"SELECT COUNT(T1.UserID) FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Female' AND T1.IsReshare = 'TRUE'",
"SELECT T1.text FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID INNER JOIN user AS T2 ON T2.UserID = T1.UserID INNER JOIN user AS T3 ON T1.UserID = T3.UserID WHERE T2.City = 'Buenos Aires' AND T3.Gender = 'Male'",
"SELECT SUM(CASE WHEN T2.City = 'Bangkok' THEN Likes ELSE NULL END) / COUNT(CASE WHEN T2.City = 'Bangkok' THEN 1 ELSE 0 END) AS bNum , SUM(CASE WHEN City = 'Chiang Mai' THEN Likes ELSE NULL END) / COUNT(CASE WHEN City = 'Chiang Mai' THEN TweetID ELSE NULL END) AS cNum FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.City IN ('Bangkok', 'Chiang Mai')",
"SELECT T2.City FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.Country = 'Argentina' GROUP BY T2.City ORDER BY COUNT(T1.TweetID) DESC LIMIT 1"
]
}
|
{
"query": "Among all the tweets with a positive sentiment, how many of them were posted by male users in Australia?",
"pos": [
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID INNER JOIN user AS T3 ON T3.UserID = T1.UserID WHERE T2.Country = 'Australia' AND T3.Gender = 'Male' AND T1.Sentiment > 0"
],
"neg": [
"SELECT COUNT(TweetID) AS tweet_number FROM twitter WHERE Lang = 'en'",
"SELECT T2.Country FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID ORDER BY T1.Likes DESC LIMIT 1",
"SELECT T2.StateCode FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T1.TweetID = 'tw-685681052912873473'",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.Likes > 10 AND T2.Gender = 'Male'",
"SELECT DISTINCT T1.Lang FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.Country = 'Brazil'",
"SELECT text FROM twitter WHERE Likes = ( SELECT MAX( Likes) FROM twitter )",
"SELECT COUNT(TweetID) AS tweet_number FROM twitter WHERE Sentiment > 0 AND Weekday = 'Thursday'",
"SELECT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.RetweetCount = 535",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.State = 'Texas' AND T1.IsReshare = 'TRUE'",
"SELECT T2.City FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID ORDER BY T1.RetweetCount DESC LIMIT 1"
]
}
|
{
"query": "Among the tweets posted from Santa Fe state in Argentina, how many of them were posted on 31st?",
"pos": [
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T1.Day = 31 AND T2.State = 'Santa' AND T2.Country = 'Argentina'"
],
"neg": [
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T1.Weekday = 'Thursday' AND T2.State = 'Michigan'",
"SELECT SUM(CASE WHEN T1.Sentiment > 0 THEN 1.0 ELSE 0 END) / COUNT(T1.TweetID) AS percentage FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE State = 'California'",
"SELECT T2.text FROM user AS T1 INNER JOIN twitter AS T2 ON T1.UserID = T2.UserID INNER JOIN location AS T3 ON T2.LocationID = T3.LocationID WHERE T3.Country = 'Argentina' AND T1.Gender = 'Male' ORDER BY T2.Likes DESC LIMIT 1",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID INNER JOIN user AS T3 ON T3.UserID = T1.UserID WHERE T2.Country = 'Australia' AND T3.Gender = 'Male' AND T1.Sentiment > 0",
"SELECT T2.Country FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID ORDER BY T1.Likes DESC LIMIT 1",
"SELECT SUM(CASE WHEN T2.City = 'Buenos Aires' THEN 1.0 ELSE 0 END) / COUNT(T1.TweetID) AS avg FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T2.Country = 'Argentina'",
"SELECT SUM(T1.Likes) / COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male' AND T1.Weekday = 'Monday'",
"SELECT T2.Gender FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID ORDER BY T1.Reach DESC LIMIT 1",
"SELECT Weekday FROM twitter WHERE TweetID = 'tw-682712873332805633'",
"SELECT COUNT(DISTINCT TweetID) FROM twitter WHERE Lang = 'en'"
]
}
|
{
"query": "Please list the texts of all the tweets posted by male users from Buenos Aires.",
"pos": [
"SELECT T1.text FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID INNER JOIN user AS T2 ON T2.UserID = T1.UserID INNER JOIN user AS T3 ON T1.UserID = T3.UserID WHERE T2.City = 'Buenos Aires' AND T3.Gender = 'Male'"
],
"neg": [
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN location AS T2 ON T2.LocationID = T1.LocationID WHERE T1.Weekday = 'Thursday' AND T2.State = 'Michigan'",
"SELECT T1.text FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Male' AND T1.Lang = 'fr'",
"SELECT COUNT(T1.UserID) FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T2.Gender = 'Female' AND T1.IsReshare = 'TRUE'",
"SELECT COUNT(T1.TweetID) FROM twitter AS T1 INNER JOIN user AS T2 ON T1.UserID = T2.UserID WHERE T1.Likes > 10 AND T2.Gender = 'Male'",
"SELECT T1.text FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.Country = 'Australia'",
"SELECT DISTINCT T1.Lang FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.Country = 'Brazil'",
"SELECT COUNT(DISTINCT TweetID) FROM twitter WHERE Weekday = 'Monday' AND IsReshare = 'TRUE'",
"SELECT Reach FROM twitter WHERE text = 'Happy New Year to all those AWS instances of ours!'",
"SELECT Weekday FROM twitter WHERE TweetID = 'tw-682712873332805633'",
"SELECT T.Country FROM ( SELECT T2.Country, SUM(T1.Sentiment) AS num FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T1.Sentiment > 0 GROUP BY T2.Country ) T ORDER BY T.num DESC LIMIT 1"
]
}
|
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