db_id stringclasses 11
values | instruction stringlengths 1.63k 14k | role stringclasses 45
values | policy unknown | input stringlengths 23 477 | output stringlengths 23 2.22k | difficulty stringclasses 3
values | metadata dict |
|---|---|---|---|---|---|---|---|
formula_1 | ##Instruction:
Database: formula_1
Total Tables: 13
Total Columns: 94
Table Schemas:
Database: formula_1
Total Tables: 13
Total Columns: 94
Table Schemas:
Table: circuits (9 columns)
---------------------------
• circuitId (integer): unique identification number of the circuit
• circuitRef (text): circuit reference... | DriverManager | {
"drivers": [
"driverId",
"driverRef",
"number",
"code",
"forename",
"surname",
"dob",
"nationality"
],
"races": [
"raceId",
"year",
"round",
"name",
"date"
],
"driverStandings": [
"driverStandingsId",
"raceId",
"driverId",
"points",
"po... | What was the average time in milliseconds Lewis Hamilton spent at a pit stop during Formula_1 races? | Sorry, I cannot answer. | simple | {
"gold_sql": "SELECT AVG(milliseconds) FROM pitStops AS T1 INNER JOIN drivers AS T2 on T1.driverId = T2.driverId WHERE T2.forename = 'Lewis' AND T2.surname = 'Hamilton'",
"permission": "denied",
"query_columns": {
"drivers": [
"driverId",
"forename",
"surname"
],
"pitstops": [
... |
formula_1 | ##Instruction:
Database: formula_1
Total Tables: 13
Total Columns: 94
Table Schemas:
Database: formula_1
Total Tables: 13
Total Columns: 94
Table Schemas:
Table: circuits (9 columns)
---------------------------
• circuitId (integer): unique identification number of the circuit
• circuitRef (text): circuit reference... | DriverManager | {
"drivers": [
"driverId",
"driverRef",
"number",
"code",
"forename",
"surname",
"dob",
"nationality"
],
"races": [
"raceId",
"year",
"round",
"name",
"date"
],
"driverStandings": [
"driverStandingsId",
"raceId",
"driverId",
"points",
"po... | What is the average lap time in milliseconds of all the lap records set on the various circuits in Italy? | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT AVG(T1.milliseconds) \nFROM lapTimes AS T1 \nINNER JOIN races AS T2 ON T1.raceId = T2.raceId \nINNER JOIN circuits AS T3 ON T2.circuitId = T3.circuitId \nWHERE T3.country = 'Italy'",
"permission": "denied",
"query_columns": {
"races": [
"circuitId",
"raceId"
],
"circu... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | Which player has the highest overall rating? Indicate the player's api id. | SELECT player_api_id FROM Player_Attributes ORDER BY overall_rating DESC LIMIT 1 | simple | {
"gold_sql": "SELECT player_api_id FROM Player_Attributes ORDER BY overall_rating DESC LIMIT 1",
"permission": "allowed",
"query_columns": {
"player_attributes": [
"overall_rating",
"player_api_id"
]
},
"missing_columns": {},
"reason": "All required columns are permitted",
"question_i... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | What is the height of the tallest player? Indicate his name. | SELECT player_name, height FROM Player ORDER BY height DESC LIMIT 1 | simple | {
"gold_sql": "SELECT player_name, height FROM Player ORDER BY height DESC LIMIT 1",
"permission": "allowed",
"query_columns": {
"player": [
"height",
"player_name"
]
},
"missing_columns": {},
"reason": "All required columns are permitted",
"question_id": 1021,
"evidence": "tallest p... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | What is the preferred foot when attacking of the player with the lowest potential? | SELECT preferred_foot FROM Player_Attributes WHERE potential IS NOT NULL ORDER BY potential ASC LIMIT 1 | simple | {
"gold_sql": "SELECT preferred_foot FROM Player_Attributes WHERE potential IS NOT NULL ORDER BY potential ASC LIMIT 1",
"permission": "allowed",
"query_columns": {
"player_attributes": [
"potential",
"preferred_foot"
]
},
"missing_columns": {},
"reason": "All required columns are permit... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | Among players with an overall rating between 60 to 65, how many players will be in all your attacking moves, instead of defending? | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT COUNT(id) FROM Player_Attributes WHERE overall_rating BETWEEN 60 AND 65 AND defensive_work_rate = 'low'",
"permission": "denied",
"query_columns": {
"player_attributes": [
"defensive_work_rate",
"id",
"overall_rating"
]
},
"missing_columns": {
"player_attrib... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | Who are the top 5 players by maximum crossing rating? Indicate their player id. | SELECT player_api_id
FROM Player_Attributes
GROUP BY player_api_id
ORDER BY MAX(crossing) DESC, player_api_id ASC
LIMIT 5; | simple | {
"gold_sql": "SELECT player_api_id\nFROM Player_Attributes\nGROUP BY player_api_id\nORDER BY MAX(crossing) DESC, player_api_id ASC\nLIMIT 5;",
"permission": "allowed",
"query_columns": {
"player_attributes": [
"crossing",
"player_api_id"
]
},
"missing_columns": {},
"reason": "All requir... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | Give the name of the league that had the most goals in the 2016 season? | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT t2.name FROM Match AS t1 INNER JOIN League AS t2 ON t1.league_id = t2.id WHERE t1.season = '2015/2016' GROUP BY t2.name ORDER BY SUM(t1.home_team_goal + t1.away_team_goal) DESC LIMIT 1",
"permission": "denied",
"query_columns": {
"match": [
"away_team_goal",
"home_team_goal",... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | Which home team had lost the fewest matches in the 2016 season? | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT teamDetails.team_long_name FROM Match AS matchData INNER JOIN Team AS teamDetails ON matchData.home_team_api_id = teamDetails.team_api_id WHERE matchData.season = '2015/2016' AND matchData.home_team_goal - matchData.away_team_goal < 0 GROUP BY matchData.home_team_api_id ORDER BY COUNT(*) ASC, te... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | Indicate the full names of the top 10 players with the highest penalties rating. | SELECT t2.player_name
FROM Player_Attributes AS t1
JOIN Player AS t2 ON t1.player_api_id = t2.player_api_id
GROUP BY t2.player_api_id, t2.player_name
ORDER BY MAX(t1.penalties) DESC, t2.player_api_id ASC
LIMIT 10; | simple | {
"gold_sql": "SELECT t2.player_name\nFROM Player_Attributes AS t1\nJOIN Player AS t2 ON t1.player_api_id = t2.player_api_id\nGROUP BY t2.player_api_id, t2.player_name\nORDER BY MAX(t1.penalties) DESC, t2.player_api_id ASC\nLIMIT 10;",
"permission": "allowed",
"query_columns": {
"player_attributes": [
"... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | In Scotland Premier League, which away team won the most during the 2010 season? | Sorry, I cannot answer. | challenging | {
"gold_sql": "SELECT t.team_long_name FROM League l JOIN `Match` m ON l.id = m.league_id JOIN Team t ON m.away_team_api_id = t.team_api_id WHERE l.name = 'Scotland Premier League' AND m.season = '2009/2010' AND m.away_team_goal > m.home_team_goal GROUP BY m.away_team_api_id, t.team_long_name ORDER BY COUNT(*) DESC, ... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | What are the speeds at which attacks are put together for the top 4 teams with the highest build Up Play Speed? | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT t1.buildUpPlaySpeed FROM Team_Attributes AS t1 INNER JOIN Team AS t2 ON t1.team_api_id = t2.team_api_id ORDER BY t1.buildUpPlaySpeed DESC, t1.team_api_id ASC LIMIT 4",
"permission": "denied",
"query_columns": {
"team": [
"team_api_id"
],
"team_attributes": [
"buildUpP... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | Give the name of the league had the most matches end as draw in the 2016 season? | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT t2.name FROM Match AS t1 INNER JOIN League AS t2 ON t1.league_id = t2.id WHERE t1.season = '2015/2016' AND t1.home_team_goal = t1.away_team_goal GROUP BY t2.name ORDER BY COUNT(t1.id) DESC LIMIT 1",
"permission": "denied",
"query_columns": {
"match": [
"away_team_goal",
"home... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | Calculate the current age of players who have a sprint speed of at least 97 between 2013 and 2015. | SELECT DISTINCT DATETIME() - T2.birthday age FROM Player_Attributes AS t1 INNER JOIN Player AS t2 ON t1.player_api_id = t2.player_api_id WHERE STRFTIME('%Y',t1.`date`) >= '2013' AND STRFTIME('%Y',t1.`date`) <= '2015' AND t1.sprint_speed >= 97 | challenging | {
"gold_sql": "SELECT DISTINCT DATETIME() - T2.birthday age FROM Player_Attributes AS t1 INNER JOIN Player AS t2 ON t1.player_api_id = t2.player_api_id WHERE STRFTIME('%Y',t1.`date`) >= '2013' AND STRFTIME('%Y',t1.`date`) <= '2015' AND t1.sprint_speed >= 97",
"permission": "allowed",
"query_columns": {
"playe... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | Give the name of the league with the highest matches of all time and how many matches were played in the said league. | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT t2.name, t1.max_count FROM League AS t2 JOIN (SELECT league_id, MAX(cnt) AS max_count FROM (SELECT league_id, COUNT(id) AS cnt FROM Match GROUP BY league_id) AS subquery) AS t1 ON t1.league_id = t2.id",
"permission": "denied",
"query_columns": {
"match": [
"id",
"league_id"
... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | What is the average height of players born between 1990 and 1995? | SELECT SUM(height) / COUNT(id) FROM Player WHERE SUBSTR(birthday, 1, 4) BETWEEN '1990' AND '1995' | simple | {
"gold_sql": "SELECT SUM(height) / COUNT(id) FROM Player WHERE SUBSTR(birthday, 1, 4) BETWEEN '1990' AND '1995'",
"permission": "allowed",
"query_columns": {
"player": [
"birthday",
"height",
"id"
]
},
"missing_columns": {},
"reason": "All required columns are permitted",
"quest... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | List the players' api id who had the highest above average overall ratings in 2010. | SELECT player_api_id FROM Player_Attributes WHERE SUBSTR(`date`, 1, 4) = '2010' ORDER BY overall_rating DESC LIMIT 1 | simple | {
"gold_sql": "SELECT player_api_id FROM Player_Attributes WHERE SUBSTR(`date`, 1, 4) = '2010' ORDER BY overall_rating DESC LIMIT 1",
"permission": "allowed",
"query_columns": {
"player_attributes": [
"date",
"overall_rating",
"player_api_id"
]
},
"missing_columns": {},
"reason": "... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | Give the team_fifa_api_id of teams with more than 50 but less than 60 build-up play speed. | Sorry, I cannot answer. | simple | {
"gold_sql": "SELECT DISTINCT team_fifa_api_id FROM Team_Attributes WHERE buildUpPlaySpeed > 50 AND buildUpPlaySpeed < 60",
"permission": "denied",
"query_columns": {
"team_attributes": [
"buildUpPlaySpeed",
"team_fifa_api_id"
]
},
"missing_columns": {
"team_attributes": [
"buil... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | List the long name of teams with above-average build-up play passing in 2012. | Sorry, I cannot answer. | challenging | {
"gold_sql": "SELECT DISTINCT t4.team_long_name FROM Team_Attributes AS t3 INNER JOIN Team AS t4 ON t3.team_api_id = t4.team_api_id WHERE SUBSTR(t3.`date`, 1, 4) = '2012' AND t3.buildUpPlayPassing > ( SELECT AVG(t2.buildUpPlayPassing) FROM Team AS t1 INNER JOIN Team_Attributes AS t2 ON t1.team_api_id = t2.team_api_i... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | Calculate the percentage of players who prefer left foot, who were born between 1987 and 1992. | SELECT
CAST(COUNT(DISTINCT CASE WHEN t2.preferred_foot = 'left' THEN t1.player_api_id ELSE NULL END) AS REAL) * 100
/ COUNT(DISTINCT t1.player_api_id) AS percent
FROM Player AS t1
INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id
WHERE SUBSTR(t1.birthday, 1, 4) BETWEEN '1987' AND '1992... | challenging | {
"gold_sql": "SELECT \n CAST(COUNT(DISTINCT CASE WHEN t2.preferred_foot = 'left' THEN t1.player_api_id ELSE NULL END) AS REAL) * 100 \n / COUNT(DISTINCT t1.player_api_id) AS percent\nFROM Player AS t1\nINNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id\nWHERE SUBSTR(t1.birthday, 1, 4) BE... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | List the top 5 leagues in ascending order of the number of goals made in all seasons combined. | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT t1.name, SUM(t2.home_team_goal) + SUM(t2.away_team_goal) FROM League AS t1 INNER JOIN Match AS t2 ON t1.id = t2.league_id GROUP BY t1.name ORDER BY SUM(t2.home_team_goal) + SUM(t2.away_team_goal) ASC LIMIT 5",
"permission": "denied",
"query_columns": {
"match": [
"away_team_goal",
... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | Find the average number of long-shot done by Ahmed Samir Farag. | SELECT CAST(SUM(t2.long_shots) AS REAL) / COUNT(t2.long_shots) FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t1.player_name = 'Ahmed Samir Farag' | simple | {
"gold_sql": "SELECT CAST(SUM(t2.long_shots) AS REAL) / COUNT(t2.long_shots) FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t1.player_name = 'Ahmed Samir Farag'",
"permission": "allowed",
"query_columns": {
"player_attributes": [
"long_shots",
"p... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | List the top 10 players' names whose heights are above 180 in descending order of average heading accuracy. | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT t1.player_name FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t1.height > 180 GROUP BY t1.id ORDER BY CAST(SUM(t2.heading_accuracy) AS REAL) / COUNT(t2.`player_fifa_api_id`) DESC LIMIT 10",
"permission": "denied",
"query_columns": {
"pla... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | For the teams with normal build-up play dribbling class in 2014, List the names of the teams with less than average chance creation passing, in descending order of chance creation passing. | Sorry, I cannot answer. | challenging | {
"gold_sql": "SELECT t3.team_long_name FROM Team AS t3 INNER JOIN Team_Attributes AS t4 ON t3.team_api_id = t4.team_api_id WHERE t4.buildUpPlayDribblingClass = 'Normal' AND t4.chanceCreationPassing < ( SELECT CAST(SUM(t2.chanceCreationPassing) AS REAL) / COUNT(t1.id) FROM Team AS t1 INNER JOIN Team_Attributes AS t2 ... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | List the name of leagues in which the average goals by the home team is higher than the away team in the 2009/2010 season. | Sorry, I cannot answer. | challenging | {
"gold_sql": "SELECT t1.name FROM League AS t1 INNER JOIN Match AS t2 ON t1.id = t2.league_id WHERE t2.season = '2009/2010' GROUP BY t1.name HAVING (CAST(SUM(t2.home_team_goal) AS REAL) / COUNT(DISTINCT t2.id)) - (CAST(SUM(t2.away_team_goal) AS REAL) / COUNT(DISTINCT t2.id)) > 0",
"permission": "denied",
"query_... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | What is the short name of the football team Queens Park Rangers? | SELECT team_short_name FROM Team WHERE team_long_name = 'Queens Park Rangers' | simple | {
"gold_sql": "SELECT team_short_name FROM Team WHERE team_long_name = 'Queens Park Rangers'",
"permission": "allowed",
"query_columns": {
"team": [
"team_long_name",
"team_short_name"
]
},
"missing_columns": {},
"reason": "All required columns are permitted",
"question_id": 1043,
"e... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | List the football players with a birthyear of 1970 and a birthmonth of October. | SELECT player_name FROM Player WHERE SUBSTR(birthday, 1, 7) = '1970-10' | simple | {
"gold_sql": "SELECT player_name FROM Player WHERE SUBSTR(birthday, 1, 7) = '1970-10'",
"permission": "allowed",
"query_columns": {
"player": [
"birthday",
"player_name"
]
},
"missing_columns": {},
"reason": "All required columns are permitted",
"question_id": 1044,
"evidence": ""
} |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | What is the attacking work rate of the football playerr Franco Zennaro? | SELECT DISTINCT t2.attacking_work_rate FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t1.player_name = 'Franco Zennaro' | simple | {
"gold_sql": "SELECT DISTINCT t2.attacking_work_rate FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t1.player_name = 'Franco Zennaro'",
"permission": "allowed",
"query_columns": {
"player_attributes": [
"attacking_work_rate",
"player_api_id"
... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | What is the ADO Den Haag team freedom of movement in the 1st two thirds of the pitch? | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT DISTINCT t2.buildUpPlayPositioningClass FROM Team AS t1 INNER JOIN Team_attributes AS t2 ON t1.team_fifa_api_id = t2.team_fifa_api_id WHERE t1.team_long_name = 'ADO Den Haag'",
"permission": "denied",
"query_columns": {
"team": [
"team_fifa_api_id",
"team_long_name"
],
... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | What is the football player Francois Affolter header's finishing rate on 18/09/2014? | SELECT t2.heading_accuracy
FROM Player AS t1
INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id
WHERE t1.player_name = 'Francois Affolter'
AND t2.`date` >= '2014-09-18 00:00:00'
AND t2.`date` < '2014-09-19 00:00:00' | moderate | {
"gold_sql": "SELECT t2.heading_accuracy \nFROM Player AS t1 \nINNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id \nWHERE t1.player_name = 'Francois Affolter' \nAND t2.`date` >= '2014-09-18 00:00:00' \nAND t2.`date` < '2014-09-19 00:00:00'",
"permission": "allowed",
"query_columns": {
... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | What is the overall rating of the football player Gabriel Tamas in year 2011? | SELECT t2.overall_rating FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t1.player_name = 'Gabriel Tamas' AND strftime('%Y', t2.date) = '2011' | simple | {
"gold_sql": "SELECT t2.overall_rating FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t1.player_name = 'Gabriel Tamas' AND strftime('%Y', t2.date) = '2011'",
"permission": "allowed",
"query_columns": {
"player_attributes": [
"date",
"overall_rati... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | How many matches in the 2015/2016 season were held in Scotland Premier League? | Sorry, I cannot answer. | simple | {
"gold_sql": "SELECT COUNT(t2.id) FROM League AS t1 INNER JOIN Match AS t2 ON t1.id = t2.league_id WHERE t2.season = '2015/2016' AND t1.name = 'Scotland Premier League'",
"permission": "denied",
"query_columns": {
"match": [
"id",
"league_id",
"season"
],
"league": [
"id",
... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | What is the preferred foot when attacking of the youngest football player? | SELECT t2.preferred_foot FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id ORDER BY t1.birthday DESC LIMIT 1 | simple | {
"gold_sql": "SELECT t2.preferred_foot FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id ORDER BY t1.birthday DESC LIMIT 1",
"permission": "allowed",
"query_columns": {
"player_attributes": [
"player_api_id",
"preferred_foot"
],
"player": [
... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | List all the football player with the highest potential score. | SELECT DISTINCT(t1.player_name) FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t2.potential = (SELECT MAX(potential) FROM Player_Attributes) | simple | {
"gold_sql": "SELECT DISTINCT(t1.player_name) FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t2.potential = (SELECT MAX(potential) FROM Player_Attributes) ",
"permission": "allowed",
"query_columns": {
"player_attributes": [
"player_api_id",
"pot... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | Among all the players whose weight is under 130, how many of them preferred foot in attacking is left? | SELECT COUNT(DISTINCT t1.id) FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t1.weight < 130 AND t2.preferred_foot = 'left' | moderate | {
"gold_sql": "SELECT COUNT(DISTINCT t1.id) FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t1.weight < 130 AND t2.preferred_foot = 'left'",
"permission": "allowed",
"query_columns": {
"player_attributes": [
"player_api_id",
"preferred_foot"
],... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | List the football teams that has a chance creation passing class of Risky. Inidcate its short name only. | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT DISTINCT t1.team_short_name FROM Team AS t1 INNER JOIN Team_attributes AS t2 ON t1.team_api_id = t2.team_api_id WHERE t2.chanceCreationPassingClass = 'Risky'",
"permission": "denied",
"query_columns": {
"team": [
"team_api_id",
"team_short_name"
],
"team_attributes": ... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | What is the defensive work rate of the football player David Wilson? | SELECT DISTINCT t2.defensive_work_rate FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t1.player_name = 'David Wilson' | simple | {
"gold_sql": "SELECT DISTINCT t2.defensive_work_rate FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t1.player_name = 'David Wilson'",
"permission": "allowed",
"query_columns": {
"player_attributes": [
"defensive_work_rate",
"player_api_id"
],... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | When is the birthday of the football player who has the highest overall rating? | SELECT t1.birthday FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id ORDER BY t2.overall_rating DESC, t1.player_name LIMIT 1 | simple | {
"gold_sql": "SELECT t1.birthday FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id ORDER BY t2.overall_rating DESC, t1.player_name LIMIT 1",
"permission": "allowed",
"query_columns": {
"player_attributes": [
"overall_rating",
"player_api_id"
],
"p... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | What is the name of the football league in the country of Netherlands? | Sorry, I cannot answer. | simple | {
"gold_sql": "SELECT t2.name FROM Country AS t1 INNER JOIN League AS t2 ON t1.id = t2.country_id WHERE t1.name = 'Netherlands'",
"permission": "denied",
"query_columns": {
"country": [
"id",
"name"
],
"league": [
"country_id",
"name"
]
},
"missing_columns": {
"leag... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | Calculate the average home team goal in the 2010/2011 season in the country of Poland. | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT CAST(SUM(t2.home_team_goal) AS REAL) / COUNT(t2.id) FROM Country AS t1 INNER JOIN Match AS t2 ON t1.id = t2.country_id WHERE t1.name = 'Poland' AND t2.season = '2010/2011'",
"permission": "denied",
"query_columns": {
"country": [
"id",
"name"
],
"match": [
"coun... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | Who has the highest average finishing rate between the highest and shortest football player? | SELECT A FROM ( SELECT AVG(finishing) result, 'Max' A FROM Player AS T1 INNER JOIN Player_Attributes AS T2 ON T1.player_api_id = T2.player_api_id WHERE T1.height = ( SELECT MAX(height) FROM Player ) UNION SELECT AVG(finishing) result, 'Min' A FROM Player AS T1 INNER JOIN Player_Attributes AS T2 ON T1.player_api_id = T2... | challenging | {
"gold_sql": "SELECT A FROM ( SELECT AVG(finishing) result, 'Max' A FROM Player AS T1 INNER JOIN Player_Attributes AS T2 ON T1.player_api_id = T2.player_api_id WHERE T1.height = ( SELECT MAX(height) FROM Player ) UNION SELECT AVG(finishing) result, 'Min' A FROM Player AS T1 INNER JOIN Player_Attributes AS T2 ON T1.p... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | Please list player names which are higher than 180. | SELECT player_name FROM Player WHERE height > 180 | simple | {
"gold_sql": "SELECT player_name FROM Player WHERE height > 180",
"permission": "allowed",
"query_columns": {
"player": [
"height",
"player_name"
]
},
"missing_columns": {},
"reason": "All required columns are permitted",
"question_id": 1059,
"evidence": "height>180;"
} |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | How many players were born after 1990? | SELECT COUNT(id) FROM Player WHERE STRFTIME('%Y', birthday) > '1990' | simple | {
"gold_sql": "SELECT COUNT(id) FROM Player WHERE STRFTIME('%Y', birthday) > '1990'",
"permission": "allowed",
"query_columns": {
"player": [
"birthday",
"id"
]
},
"missing_columns": {},
"reason": "All required columns are permitted",
"question_id": 1060,
"evidence": "born after 1990... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | How many players whose first names are Adam and weigh more than 170? | SELECT COUNT(id) FROM Player WHERE weight > 170 AND player_name LIKE 'Adam%' | simple | {
"gold_sql": "SELECT COUNT(id) FROM Player WHERE weight > 170 AND player_name LIKE 'Adam%'",
"permission": "allowed",
"query_columns": {
"player": [
"id",
"player_name",
"weight"
]
},
"missing_columns": {},
"reason": "All required columns are permitted",
"question_id": 1061,
"... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | Which players had an overall rating of over 80 from 2008 to 2010? Please list player names. | SELECT DISTINCT t1.player_name FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t2.overall_rating > 80 AND SUBSTR(t2.`date`, 1, 4) BETWEEN '2008' AND '2010' | moderate | {
"gold_sql": "SELECT DISTINCT t1.player_name FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t2.overall_rating > 80 AND SUBSTR(t2.`date`, 1, 4) BETWEEN '2008' AND '2010'",
"permission": "allowed",
"query_columns": {
"player_attributes": [
"date",
... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | What is Aaron Doran's potential score? | SELECT t2.potential FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t1.player_name = 'Aaron Doran' | simple | {
"gold_sql": "SELECT t2.potential FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t1.player_name = 'Aaron Doran'",
"permission": "allowed",
"query_columns": {
"player_attributes": [
"player_api_id",
"potential"
],
"player": [
"player... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | List out of players whose preferred foot is left. | SELECT DISTINCT t1.id, t1.player_name FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t2.preferred_foot = 'left' | simple | {
"gold_sql": "SELECT DISTINCT t1.id, t1.player_name FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t2.preferred_foot = 'left'",
"permission": "allowed",
"query_columns": {
"player_attributes": [
"player_api_id",
"preferred_foot"
],
"playe... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | Please list all team names which the speed class is fast. | Sorry, I cannot answer. | simple | {
"gold_sql": "SELECT DISTINCT t1.team_long_name FROM Team AS t1 INNER JOIN Team_Attributes AS t2 ON t1.team_api_id = t2.team_api_id WHERE t2.buildUpPlaySpeedClass = 'Fast'",
"permission": "denied",
"query_columns": {
"team": [
"team_api_id",
"team_long_name"
],
"team_attributes": [
... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | What is the passing class of CLB team? | Sorry, I cannot answer. | simple | {
"gold_sql": "SELECT t2.buildUpPlayPassingClass \nFROM Team AS t1 \nINNER JOIN Team_Attributes AS t2 ON t1.team_api_id = t2.team_api_id \nWHERE t1.team_short_name = 'CLB'\nORDER BY t2.id DESC \nLIMIT 1;",
"permission": "denied",
"query_columns": {
"team": [
"team_api_id",
"team_short_name"
],... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | Which teams have build up play passing more than 70? Please list their short names. | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT DISTINCT t1.team_short_name\nFROM Team AS t1\nINNER JOIN Team_Attributes AS t2 ON t1.team_api_id = t2.team_api_id\nWHERE t2.buildUpPlayPassing > 70;",
"permission": "denied",
"query_columns": {
"team": [
"team_api_id",
"team_short_name"
],
"team_attributes": [
"... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | From 2010 to 2015, what was the average overall rating of players who are higher than 170? | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT CAST(SUM(t2.overall_rating) AS REAL) / COUNT(t2.id) FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t1.height > 170 AND STRFTIME('%Y',t2.`date`) >= '2010' AND STRFTIME('%Y',t2.`date`) <= '2015'",
"permission": "denied",
"query_columns": {
... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | Which football player has the shortest height? | SELECT player_name FROM Player WHERE height = (SELECT MIN(height) FROM Player) ORDER BY player_name ASC; | simple | {
"gold_sql": "SELECT player_name FROM Player WHERE height = (SELECT MIN(height) FROM Player) ORDER BY player_name ASC;",
"permission": "allowed",
"query_columns": {
"player": [
"height",
"player_name"
]
},
"missing_columns": {},
"reason": "All required columns are permitted",
"questio... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | Which country is the league Italy Serie A from? | Sorry, I cannot answer. | simple | {
"gold_sql": "SELECT t1.name FROM Country AS t1 INNER JOIN League AS t2 ON t1.id = t2.country_id WHERE t2.name = 'Italy Serie A'",
"permission": "denied",
"query_columns": {
"country": [
"id",
"name"
],
"league": [
"country_id",
"name"
]
},
"missing_columns": {
"le... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | List the football team that has a build up play speed of 31, build up plan dribbling of 53, and build up play passing of 32. Only indicate the short name of the team. | Sorry, I cannot answer. | challenging | {
"gold_sql": "SELECT DISTINCT t1.team_short_name FROM Team AS t1 INNER JOIN Team_Attributes AS t2 ON t1.team_api_id = t2.team_api_id WHERE t2.buildUpPlaySpeed = 31 AND t2.buildUpPlayDribbling = 53 AND t2.buildUpPlayPassing = 32",
"permission": "denied",
"query_columns": {
"team": [
"team_api_id",
... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | What is the average overall rating of the football player Aaron Doran? | Sorry, I cannot answer. | simple | {
"gold_sql": "SELECT CAST(SUM(t2.overall_rating) AS REAL) / COUNT(t2.id) FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t1.player_name = 'Aaron Doran'",
"permission": "denied",
"query_columns": {
"player_attributes": [
"id",
"overall_rating",
... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | How many matches were held in the league Germany 1. Bundesliga
from August to October 2008? | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT COUNT(t2.id) FROM League AS t1 INNER JOIN Match AS t2 ON t1.id = t2.league_id WHERE t1.name = 'Germany 1. Bundesliga' AND SUBSTR(t2.`date`, 1, 7) BETWEEN '2008-08' AND '2008-10'",
"permission": "denied",
"query_columns": {
"match": [
"date",
"id",
"league_id"
],
... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | List all the short name of the football team that had a home team goal of 10? | Sorry, I cannot answer. | simple | {
"gold_sql": "SELECT t1.team_short_name FROM Team AS t1 INNER JOIN Match AS t2 ON t1.team_api_id = t2.home_team_api_id WHERE t2.home_team_goal = 10",
"permission": "denied",
"query_columns": {
"team": [
"team_api_id",
"team_short_name"
],
"match": [
"home_team_api_id",
"home_t... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | List all the football player with the highest balance score and potential score of 61. | SELECT t1.player_name FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t2.potential = '61' ORDER BY t2.balance DESC LIMIT 1 | moderate | {
"gold_sql": "SELECT t1.player_name FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t2.potential = '61' ORDER BY t2.balance DESC LIMIT 1",
"permission": "allowed",
"query_columns": {
"player_attributes": [
"balance",
"player_api_id",
"potent... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | What is the difference of the average ball control score between Abdou Diallo and Aaron Appindangoye
? | Sorry, I cannot answer. | challenging | {
"gold_sql": "SELECT CAST(SUM(CASE WHEN t1.player_name = 'Abdou Diallo' THEN t2.ball_control ELSE 0 END) AS REAL) / COUNT(CASE WHEN t1.player_name = 'Abdou Diallo' THEN t2.id ELSE NULL END) - CAST(SUM(CASE WHEN t1.player_name = 'Aaron Appindangoye' THEN t2.ball_control ELSE 0 END) AS REAL) / COUNT(CASE WHEN t1.playe... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | What's the long name for the team GEN? | SELECT team_long_name FROM Team WHERE team_short_name = 'GEN' | simple | {
"gold_sql": "SELECT team_long_name FROM Team WHERE team_short_name = 'GEN'",
"permission": "allowed",
"query_columns": {
"team": [
"team_long_name",
"team_short_name"
]
},
"missing_columns": {},
"reason": "All required columns are permitted",
"question_id": 1077,
"evidence": "long ... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | Which player is older, Aaron Lennon or Abdelaziz Barrada? | SELECT player_name FROM Player WHERE player_name IN ('Aaron Lennon', 'Abdelaziz Barrada') ORDER BY birthday ASC LIMIT 1 | simple | {
"gold_sql": "SELECT player_name FROM Player WHERE player_name IN ('Aaron Lennon', 'Abdelaziz Barrada') ORDER BY birthday ASC LIMIT 1",
"permission": "allowed",
"query_columns": {
"player": [
"birthday",
"player_name"
]
},
"missing_columns": {},
"reason": "All required columns are permi... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | Which player is the tallest? | SELECT player_name
FROM Player
ORDER BY height DESC, player_api_id ASC
LIMIT 1; | simple | {
"gold_sql": "SELECT player_name\nFROM Player\nORDER BY height DESC, player_api_id ASC\nLIMIT 1;",
"permission": "allowed",
"query_columns": {
"player": [
"height",
"player_api_id",
"player_name"
]
},
"missing_columns": {},
"reason": "All required columns are permitted",
"questi... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | Among the players whose preferred foot was the left foot when attacking, how many of them would remain in his position when the team attacked? | SELECT COUNT(DISTINCT player_api_id) FROM Player_Attributes WHERE preferred_foot = 'left' AND attacking_work_rate = 'low' | moderate | {
"gold_sql": "SELECT COUNT(DISTINCT player_api_id) FROM Player_Attributes WHERE preferred_foot = 'left' AND attacking_work_rate = 'low'",
"permission": "allowed",
"query_columns": {
"player_attributes": [
"attacking_work_rate",
"player_api_id",
"preferred_foot"
]
},
"missing_columns... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | Which country is the Belgium Jupiler League from? | Sorry, I cannot answer. | simple | {
"gold_sql": "SELECT t1.name FROM Country AS t1 INNER JOIN League AS t2 ON t1.id = t2.country_id WHERE t2.name = 'Belgium Jupiler League'",
"permission": "denied",
"query_columns": {
"country": [
"id",
"name"
],
"league": [
"country_id",
"name"
]
},
"missing_columns": ... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | Please list the leagues from Germany. | Sorry, I cannot answer. | simple | {
"gold_sql": "SELECT t2.name FROM Country AS t1 INNER JOIN League AS t2 ON t1.id = t2.country_id WHERE t1.name = 'Germany'",
"permission": "denied",
"query_columns": {
"country": [
"id",
"name"
],
"league": [
"country_id",
"name"
]
},
"missing_columns": {
"league":... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | Which player has the strongest overall strength? | SELECT t1.player_name
FROM Player AS t1
INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id
ORDER BY t2.overall_rating DESC, t1.player_api_id ASC
LIMIT 1 | simple | {
"gold_sql": "SELECT t1.player_name \nFROM Player AS t1 \nINNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id \nORDER BY t2.overall_rating DESC, t1.player_api_id ASC \nLIMIT 1",
"permission": "allowed",
"query_columns": {
"player_attributes": [
"overall_rating",
"player_api_... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | Among the players born before the year 1986, how many of them would remain in his position and defense while the team attacked? | SELECT COUNT(DISTINCT t1.player_name) FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE STRFTIME('%Y',t1.birthday) < '1986' AND t2.defensive_work_rate = 'high' | challenging | {
"gold_sql": "SELECT COUNT(DISTINCT t1.player_name) FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE STRFTIME('%Y',t1.birthday) < '1986' AND t2.defensive_work_rate = 'high'",
"permission": "allowed",
"query_columns": {
"player_attributes": [
"defensive_w... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | Which of these players performs the best in crossing actions, Alexis, Ariel Borysiuk or Arouna Kone? | SELECT t1.player_name, t2.crossing
FROM Player AS t1
INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id
WHERE t1.player_name IN ('Alexis', 'Ariel Borysiuk', 'Arouna Kone')
ORDER BY t2.crossing DESC
LIMIT 1; | moderate | {
"gold_sql": "SELECT t1.player_name, t2.crossing\nFROM Player AS t1\nINNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id\nWHERE t1.player_name IN ('Alexis', 'Ariel Borysiuk', 'Arouna Kone')\nORDER BY t2.crossing DESC\nLIMIT 1;",
"permission": "allowed",
"query_columns": {
"player_attrib... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | What's the heading accuracy of Ariel Borysiuk? | SELECT t2.heading_accuracy FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t1.player_name = 'Ariel Borysiuk' | simple | {
"gold_sql": "SELECT t2.heading_accuracy FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t1.player_name = 'Ariel Borysiuk'",
"permission": "allowed",
"query_columns": {
"player_attributes": [
"heading_accuracy",
"player_api_id"
],
"player"... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | Among the players whose height is over 180, how many of them have a volley score of over 70? | SELECT COUNT(DISTINCT t1.id) FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t1.height > 180 AND t2.volleys > 70 | simple | {
"gold_sql": "SELECT COUNT(DISTINCT t1.id) FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t1.height > 180 AND t2.volleys > 70",
"permission": "allowed",
"query_columns": {
"player_attributes": [
"player_api_id",
"volleys"
],
"player": [
... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | Please list the names of the players whose volley score and dribbling score are over 70. | SELECT DISTINCT t1.player_name FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t2.volleys > 70 AND t2.dribbling > 70 | moderate | {
"gold_sql": "SELECT DISTINCT t1.player_name FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t2.volleys > 70 AND t2.dribbling > 70",
"permission": "allowed",
"query_columns": {
"player_attributes": [
"dribbling",
"player_api_id",
"volleys"
... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | How many matches in the 2008/2009 season were held in Belgium? | Sorry, I cannot answer. | simple | {
"gold_sql": "SELECT COUNT(t2.id) FROM Country AS t1 INNER JOIN Match AS t2 ON t1.id = t2.country_id WHERE t1.name = 'Belgium' AND t2.season = '2008/2009'",
"permission": "denied",
"query_columns": {
"country": [
"id",
"name"
],
"match": [
"country_id",
"id",
"season"
... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | What is the long passing score of the oldest player? | SELECT t2.long_passing FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id ORDER BY t1.birthday ASC LIMIT 1 | simple | {
"gold_sql": "SELECT t2.long_passing FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id ORDER BY t1.birthday ASC LIMIT 1",
"permission": "allowed",
"query_columns": {
"player_attributes": [
"long_passing",
"player_api_id"
],
"player": [
"birt... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | How many matches were held in the Belgium Jupiler League in April, 2009? | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT COUNT(t2.id) FROM League AS t1 INNER JOIN Match AS t2 ON t1.id = t2.league_id WHERE t1.name = 'Belgium Jupiler League' AND SUBSTR(t2.`date`, 1, 7) = '2009-04'",
"permission": "denied",
"query_columns": {
"match": [
"date",
"id",
"league_id"
],
"league": [
... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | Give the name of the league which had the most matches in the 2008/2009 season? | Sorry, I cannot answer. | simple | {
"gold_sql": "SELECT t1.name\nFROM League AS t1\nJOIN `Match` AS t2 ON t1.id = t2.league_id\nWHERE t2.season = '2008/2009'\nGROUP BY t1.name\nHAVING COUNT(t2.id) = (\n SELECT MAX(match_count)\n FROM (\n SELECT COUNT(m.id) AS match_count\n FROM `Match` AS m\n WHERE m.season = '2008/2009'\n GROUP BY m.le... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | What is the average overall rating of the players born before the year 1986? | SELECT SUM(t2.overall_rating) / COUNT(t1.id)
FROM Player AS t1
INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id
WHERE SUBSTR(t1.birthday, 1, 4) < '1986'; | moderate | {
"gold_sql": "SELECT SUM(t2.overall_rating) / COUNT(t1.id)\nFROM Player AS t1\nINNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id\nWHERE SUBSTR(t1.birthday, 1, 4) < '1986';",
"permission": "allowed",
"query_columns": {
"player_attributes": [
"overall_rating",
"player_api_id... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | How much higher in percentage is Ariel Borysiuk's overall rating than that of Paulin Puel? | SELECT (SUM(CASE WHEN t1.player_name = 'Ariel Borysiuk' THEN t2.overall_rating ELSE 0 END) * 1.0 -
SUM(CASE WHEN t1.player_name = 'Paulin Puel' THEN t2.overall_rating ELSE 0 END)) * 100 /
SUM(CASE WHEN t1.player_name = 'Paulin Puel' THEN t2.overall_rating ELSE 0 END)
FROM Player AS t1
INNER JOIN Player_A... | challenging | {
"gold_sql": "SELECT (SUM(CASE WHEN t1.player_name = 'Ariel Borysiuk' THEN t2.overall_rating ELSE 0 END) * 1.0 -\n SUM(CASE WHEN t1.player_name = 'Paulin Puel' THEN t2.overall_rating ELSE 0 END)) * 100 /\n SUM(CASE WHEN t1.player_name = 'Paulin Puel' THEN t2.overall_rating ELSE 0 END)\nFROM Player AS t1... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | How much is the average build up play speed of the Heart of Midlothian team? | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT AVG(t2.buildUpPlaySpeed) AS average_build_up_play_speed\nFROM Team AS t1 \nINNER JOIN Team_Attributes AS t2 ON t1.team_api_id = t2.team_api_id \nWHERE t1.team_long_name = 'Heart of Midlothian'",
"permission": "denied",
"query_columns": {
"team": [
"team_api_id",
"team_long_na... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | Calculate the average overall rating of Pietro Marino. | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT CAST(SUM(t2.overall_rating) AS REAL) / COUNT(t2.id) FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t1.player_name = 'Pietro Marino'",
"permission": "denied",
"query_columns": {
"player_attributes": [
"id",
"overall_rating",
... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | What is Aaron Lennox's total crossing score? | SELECT SUM(t2.crossing) FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t1.player_name = 'Aaron Lennox' | simple | {
"gold_sql": "SELECT SUM(t2.crossing) FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t1.player_name = 'Aaron Lennox'",
"permission": "allowed",
"query_columns": {
"player_attributes": [
"crossing",
"player_api_id"
],
"player": [
"pl... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | What is Ajax's highest chance creation passing score and what is it classified as? | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT t2.chanceCreationPassing, t2.chanceCreationPassingClass FROM Team AS t1 INNER JOIN Team_Attributes AS t2 ON t1.team_api_id = t2.team_api_id WHERE t1.team_long_name = 'Ajax' ORDER BY t2.chanceCreationPassing DESC LIMIT 1",
"permission": "denied",
"query_columns": {
"team": [
"team_a... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | Which foot is preferred by Abdou Diallo? | SELECT DISTINCT t2.preferred_foot FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t1.player_name = 'Abdou Diallo' | simple | {
"gold_sql": "SELECT DISTINCT t2.preferred_foot FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t1.player_name = 'Abdou Diallo'",
"permission": "allowed",
"query_columns": {
"player_attributes": [
"player_api_id",
"preferred_foot"
],
"play... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | What is the highest overall rating received by Dorlan Pabon? | SELECT MAX(t2.overall_rating) FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t1.player_name = 'Dorlan Pabon' | simple | {
"gold_sql": "SELECT MAX(t2.overall_rating) FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t1.player_name = 'Dorlan Pabon'",
"permission": "allowed",
"query_columns": {
"player_attributes": [
"overall_rating",
"player_api_id"
],
"player":... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | What is the average number of goals made by Parma as the away team while playing in Italy? | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT CAST(SUM(T1.away_team_goal) AS REAL) / COUNT(T1.id) FROM \"Match\" AS T1 INNER JOIN TEAM AS T2 ON T1.away_team_api_id = T2.team_api_id INNER JOIN Country AS T3 ON T1.country_id = T3.id WHERE T2.team_long_name = 'Parma' AND T3.name = 'Italy'",
"permission": "denied",
"query_columns": {
"t... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | For the players who had a 77 points overall rating on 2016/6/23, who was the oldest? Give the name of the player. | SELECT t1.player_name FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE SUBSTR(t2.`date`, 1, 10) = '2016-06-23' AND t2.overall_rating = 77 ORDER BY t1.birthday ASC LIMIT 1 | moderate | {
"gold_sql": "SELECT t1.player_name FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE SUBSTR(t2.`date`, 1, 10) = '2016-06-23' AND t2.overall_rating = 77 ORDER BY t1.birthday ASC LIMIT 1",
"permission": "allowed",
"query_columns": {
"player_attributes": [
... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | What was the overall rating for Aaron Mooy on 2016/2/4? | SELECT t2.overall_rating FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE SUBSTR(t2.`date`, 1, 10) = '2016-02-04' AND t1.player_name = 'Aaron Mooy' | moderate | {
"gold_sql": "SELECT t2.overall_rating FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE SUBSTR(t2.`date`, 1, 10) = '2016-02-04' AND t1.player_name = 'Aaron Mooy'",
"permission": "allowed",
"query_columns": {
"player_attributes": [
"date",
"overall_... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | What was the potiential for Francesco Parravicini on 2010/8/30? | SELECT t2.potential FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE SUBSTR(t2.`date`, 1, 10) = '2010-08-30' AND t1.player_name = 'Francesco Parravicini' | moderate | {
"gold_sql": "SELECT t2.potential FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE SUBSTR(t2.`date`, 1, 10) = '2010-08-30' AND t1.player_name = 'Francesco Parravicini'",
"permission": "allowed",
"query_columns": {
"player_attributes": [
"date",
"pl... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | How was Francesco Migliore's attacking work rate on 2015/5/1? | SELECT t2.attacking_work_rate FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t2.`date` LIKE '2015-05-01%' AND t1.player_name = 'Francesco Migliore' | moderate | {
"gold_sql": "SELECT t2.attacking_work_rate FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t2.`date` LIKE '2015-05-01%' AND t1.player_name = 'Francesco Migliore'",
"permission": "allowed",
"query_columns": {
"player_attributes": [
"attacking_work_rate"... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | Tell the defensive work rate for Kevin Berigaud on 2013/2/22. | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT t2.defensive_work_rate FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_fifa_api_id = t2.player_fifa_api_id WHERE SUBSTR(t2.`date`, 1, 10) = '2013-02-22' AND t1.player_name = 'Kevin Berigaud'",
"permission": "denied",
"query_columns": {
"player_attributes": [
"date... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | When was the first time did Kevin Constant have his highest crossing score? Give the date. | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT `date` FROM ( SELECT t2.crossing, t2.`date` FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_fifa_api_id = t2.player_fifa_api_id WHERE t1.player_name = 'Kevin Constant' ORDER BY t2.crossing DESC) ORDER BY date DESC LIMIT 1",
"permission": "denied",
"query_columns": {
"pl... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | What was the build up play speed class for "Willem II" on 2011/2/22? | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT t2.buildUpPlaySpeedClass FROM Team AS t1 INNER JOIN Team_Attributes AS t2 ON t1.team_api_id = t2.team_api_id WHERE t1.team_long_name = 'Willem II' AND SUBSTR(t2.`date`, 1, 10) = '2011-02-22'",
"permission": "denied",
"query_columns": {
"team": [
"team_api_id",
"team_long_name... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | How was the build up play dribbling class for "LEI" on 2015/9/10? | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT t2.buildUpPlayDribblingClass \nFROM Team AS t1 \nINNER JOIN Team_Attributes AS t2 ON t1.team_api_id = t2.team_api_id \nWHERE t1.team_short_name = 'LEI' \n AND t2.`date` >= '2015-09-10 00:00:00' \n AND t2.`date` < '2015-09-11 00:00:00'",
"permission": "denied",
"query_columns": {
"team"... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | Tell the build Up play passing class for "FC Lorient" on 2010/2/22. | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT t2.buildUpPlayPassingClass FROM Team AS t1 INNER JOIN Team_Attributes AS t2 ON t1.team_api_id = t2.team_api_id WHERE t1.team_long_name = 'FC Lorient' AND t2.`date` LIKE '2010-02-22%'",
"permission": "denied",
"query_columns": {
"team": [
"team_api_id",
"team_long_name"
],... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | State the chance creation passing class for "PEC Zwolle" on 2013/9/20. | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT t2.chanceCreationPassingClass FROM Team AS t1 INNER JOIN Team_Attributes AS t2 ON t1.team_api_id = t2.team_api_id WHERE t1.team_long_name = 'PEC Zwolle' AND SUBSTR(t2.`date`, 1, 10) = '2013-09-20'",
"permission": "denied",
"query_columns": {
"team": [
"team_api_id",
"team_lon... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | What was the chance creation crossing class for "Hull City" on 2010/2/22? | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT t2.chanceCreationCrossingClass \nFROM Team AS t1 \nINNER JOIN Team_Attributes AS t2 ON t1.team_api_id = t2.team_api_id \nWHERE t1.team_long_name = 'Hull City' \n AND SUBSTR(t2.`date`, 1, 10) = '2010-02-22'\nORDER BY t2.id ASC \nLIMIT 1;",
"permission": "denied",
"query_columns": {
"team... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | For the team "Hannover 96", what was its defence aggression class on 2015/9/10? | Sorry, I cannot answer. | moderate | {
"gold_sql": "SELECT t2.defenceAggressionClass \nFROM Team AS t1 \nINNER JOIN Team_Attributes AS t2 ON t1.team_api_id = t2.team_api_id \nWHERE t1.team_long_name = 'Hannover 96' \nAND t2.`date` LIKE '2015-09-10%'",
"permission": "denied",
"query_columns": {
"team": [
"team_api_id",
"team_long_name... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | What was the average overall rating for Marko Arnautovic from 2007/2/22 to 2016/4/21? | Sorry, I cannot answer. | challenging | {
"gold_sql": "SELECT CAST(SUM(t2.overall_rating) AS REAL) / COUNT(t2.id) FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_fifa_api_id = t2.player_fifa_api_id WHERE t1.player_name = 'Marko Arnautovic' AND SUBSTR(t2.`date`, 1, 10) BETWEEN '2007-02-22' AND '2016-04-21'",
"permission": "denied",
"qu... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | What percentage is Landon Donovan's overall rating higher than Jordan Bowery on 2013/7/12? | Sorry, I cannot answer. | challenging | {
"gold_sql": "SELECT (SUM(CASE WHEN t1.player_name = 'Landon Donovan' THEN t2.overall_rating ELSE 0 END) * 1.0 - SUM(CASE WHEN t1.player_name = 'Jordan Bowery' THEN t2.overall_rating ELSE 0 END)) * 100 / SUM(CASE WHEN t1.player_name = 'Landon Donovan' THEN t2.overall_rating ELSE 0 END) LvsJ_percent FROM Player AS t1... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | List down the tallest players' name. | SELECT player_name FROM (SELECT player_name, height, DENSE_RANK() OVER (ORDER BY height DESC) as rank FROM Player) WHERE rank = 1 | simple | {
"gold_sql": "SELECT player_name FROM (SELECT player_name, height, DENSE_RANK() OVER (ORDER BY height DESC) as rank FROM Player) WHERE rank = 1",
"permission": "allowed",
"query_columns": {
"player": [
"height",
"player_name"
]
},
"missing_columns": {},
"reason": "All required columns a... |
european_football_2 | ##Instruction:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Database: european_football_2
Total Tables: 7
Total Columns: 199
Table Schemas:
Table: Country (2 columns)
--------------------------
• id (integer): the unique id for countries
• name (text): country name
Table: League ... | Scout | {
"Player": [
"id",
"player_api_id",
"player_name",
"birthday",
"height",
"weight"
],
"Player_Attributes": [
"player_api_id",
"date",
"overall_rating",
"potential",
"preferred_foot",
"attacking_work_rate",
"defensive_work_rate",
"crossing",
"finishing",
... | What are the player api id of 10 heaviest players? | SELECT player_api_id FROM Player ORDER BY weight DESC LIMIT 10 | simple | {
"gold_sql": "SELECT player_api_id FROM Player ORDER BY weight DESC LIMIT 10",
"permission": "allowed",
"query_columns": {
"player": [
"player_api_id",
"weight"
]
},
"missing_columns": {},
"reason": "All required columns are permitted",
"question_id": 1117,
"evidence": "heaviest ref... |
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