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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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
How many players were born after 1990?
Sorry, I cannot answer.
simple
{ "gold_sql": "SELECT COUNT(id) FROM Player WHERE STRFTIME('%Y', birthday) > '1990'", "permission": "denied", "query_columns": { "player": [ "birthday", "id" ] }, "missing_columns": { "player": [ "birthday", "id" ] }, "reason": "Missing column permissions: player: b...
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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
How many players whose first names are Adam and weigh more than 170?
Sorry, I cannot answer.
simple
{ "gold_sql": "SELECT COUNT(id) FROM Player WHERE weight > 170 AND player_name LIKE 'Adam%'", "permission": "denied", "query_columns": { "player": [ "id", "player_name", "weight" ] }, "missing_columns": { "player": [ "id", "player_name", "weight" ] }, "r...
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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
Which players had an overall rating of over 80 from 2008 to 2010? Please list player names.
Sorry, I cannot answer.
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": "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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
What is Aaron Doran's potential score?
Sorry, I cannot answer.
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": "denied", "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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
List out of players whose preferred foot is left.
Sorry, I cannot answer.
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": "denied", "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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
Which football player has the shortest height?
Sorry, I cannot answer.
simple
{ "gold_sql": "SELECT player_name FROM Player WHERE height = (SELECT MIN(height) FROM Player) ORDER BY player_name ASC;", "permission": "denied", "query_columns": { "player": [ "height", "player_name" ] }, "missing_columns": { "player": [ "height", "player_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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
How many matches were held in the league Germany 1. Bundesliga from August to October 2008?
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'
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": "allowed", "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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
List all the short name of the football team that had a home team goal of 10?
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
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": "allowed", "query_columns": { "team": [ "team_api_id", "team_short_name" ], "match": [ "home_team_api_id", "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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
List all the football player with the highest balance score and potential score of 61.
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 t2.potential = '61' ORDER BY t2.balance DESC LIMIT 1", "permission": "denied", "query_columns": { "player_attributes": [ "balance", "player_api_id", "potenti...
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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
Which player is older, Aaron Lennon or Abdelaziz Barrada?
Sorry, I cannot answer.
simple
{ "gold_sql": "SELECT player_name FROM Player WHERE player_name IN ('Aaron Lennon', 'Abdelaziz Barrada') ORDER BY birthday ASC LIMIT 1", "permission": "denied", "query_columns": { "player": [ "birthday", "player_name" ] }, "missing_columns": { "player": [ "birthday", "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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
Which player is the tallest?
Sorry, I cannot answer.
simple
{ "gold_sql": "SELECT player_name\nFROM Player\nORDER BY height DESC, player_api_id ASC\nLIMIT 1;", "permission": "denied", "query_columns": { "player": [ "height", "player_api_id", "player_name" ] }, "missing_columns": { "player": [ "height", "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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
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?
Sorry, I cannot answer.
moderate
{ "gold_sql": "SELECT COUNT(DISTINCT player_api_id) FROM Player_Attributes WHERE preferred_foot = 'left' AND attacking_work_rate = 'low'", "permission": "denied", "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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
Which player has the strongest overall strength?
Sorry, I cannot answer.
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": "denied", "query_columns": { "player_attributes": [ "overall_rating", "player_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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
Among the players born before the year 1986, how many of them would remain in his position and defense while the team attacked?
Sorry, I cannot answer.
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": "denied", "query_columns": { "player_attributes": [ "defensive_wo...
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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
Which of these players performs the best in crossing actions, Alexis, Ariel Borysiuk or Arouna Kone?
Sorry, I cannot answer.
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": "denied", "query_columns": { "player_attribu...
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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
What's the heading accuracy of Ariel Borysiuk?
Sorry, I cannot answer.
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": "denied", "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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
Among the players whose height is over 180, how many of them have a volley score of over 70?
Sorry, I cannot answer.
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": "denied", "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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
Please list the names of the players whose volley score and dribbling score are over 70.
Sorry, I cannot answer.
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": "denied", "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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
How many matches in the 2008/2009 season were held in Belgium?
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'
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": "allowed", "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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
What is the long passing score of the oldest player?
Sorry, I cannot answer.
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": "denied", "query_columns": { "player_attributes": [ "long_passing", "player_api_id" ], "player": [ "birth...
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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
How many matches were held in the Belgium Jupiler League in April, 2009?
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'
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": "allowed", "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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
Give the name of the league which had the most matches in the 2008/2009 season?
SELECT t1.name FROM League AS t1 JOIN `Match` AS t2 ON t1.id = t2.league_id WHERE t2.season = '2008/2009' GROUP BY t1.name HAVING COUNT(t2.id) = ( SELECT MAX(match_count) FROM ( SELECT COUNT(m.id) AS match_count FROM `Match` AS m WHERE m.season = '2008/2009' GROUP BY m.league_id ) sub );
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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
What is the average overall rating of the players born before the year 1986?
Sorry, I cannot answer.
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": "denied", "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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
How much higher in percentage is Ariel Borysiuk's overall rating than that of Paulin Puel?
Sorry, I cannot answer.
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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
What is Aaron Lennox's total crossing score?
Sorry, I cannot answer.
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": "denied", "query_columns": { "player_attributes": [ "crossing", "player_api_id" ], "player": [ "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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
Which foot is preferred by Abdou Diallo?
Sorry, I cannot answer.
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": "denied", "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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
What is the highest overall rating received by Dorlan Pabon?
Sorry, I cannot answer.
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": "denied", "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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
What is the average number of goals made by Parma as the away team while playing in Italy?
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'
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": "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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
For the players who had a 77 points overall rating on 2016/6/23, who was the oldest? Give the name of the player.
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 SUBSTR(t2.`date`, 1, 10) = '2016-06-23' AND t2.overall_rating = 77 ORDER BY t1.birthday ASC LIMIT 1", "permission": "denied", "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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
What was the overall rating for Aaron Mooy on 2016/2/4?
Sorry, I cannot answer.
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": "denied", "query_columns": { "player_attributes": [ "date", "overall_r...
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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
What was the potiential for Francesco Parravicini on 2010/8/30?
Sorry, I cannot answer.
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": "denied", "query_columns": { "player_attributes": [ "date", "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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
How was Francesco Migliore's attacking work rate on 2015/5/1?
Sorry, I cannot answer.
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": "denied", "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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
List down the tallest players' name.
Sorry, I cannot answer.
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": "denied", "query_columns": { "player": [ "height", "player_name" ] }, "missing_columns": { "player": [ "height", ...
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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
What are the player api id of 10 heaviest players?
Sorry, I cannot answer.
simple
{ "gold_sql": "SELECT player_api_id FROM Player ORDER BY weight DESC LIMIT 10", "permission": "denied", "query_columns": { "player": [ "player_api_id", "weight" ] }, "missing_columns": { "player": [ "player_api_id", "weight" ] }, "reason": "Missing column permission...
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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
List down the name of players who are 35 years old and above.
Sorry, I cannot answer.
simple
{ "gold_sql": "SELECT player_name FROM Player WHERE CAST((JULIANDAY('now') - JULIANDAY(birthday)) AS REAL) / 365 >= 35", "permission": "denied", "query_columns": { "player": [ "birthday", "player_name" ] }, "missing_columns": { "player": [ "birthday", "player_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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
How many home team goal have been scored by Aaron Lennon?
Sorry, I cannot answer.
simple
{ "gold_sql": "SELECT SUM(t2.home_team_goal) FROM Player AS t1 INNER JOIN match AS t2 ON t1.player_api_id = t2.away_player_9 WHERE t1.player_name = 'Aaron Lennon'", "permission": "denied", "query_columns": { "match": [ "away_player_9", "home_team_goal" ], "player": [ "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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
Sum up the away team goal scored by both Daan Smith and Filipe Ferreira.
Sorry, I cannot answer.
moderate
{ "gold_sql": "SELECT SUM(m.away_team_goal)\nFROM `Match` AS m\nWHERE EXISTS (\n SELECT 1\n FROM Player AS p\n WHERE p.player_name IN ('Daan Smith', 'Filipe Ferreira')\n AND p.player_api_id IN (\n m.away_player_1, m.away_player_2, m.away_player_3, m.away_player_4, m.away_player_5,\n m.away_player_6, m...
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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
Calculate the total home team goal scored by home teams whose player 1's age is 30 years old and below.
Sorry, I cannot answer.
moderate
{ "gold_sql": "SELECT SUM(t2.home_team_goal) FROM Player AS t1 INNER JOIN Match AS t2 ON t1.player_api_id = t2.home_player_1 WHERE datetime(CURRENT_TIMESTAMP, 'localtime') - datetime(T1.birthday) < 31", "permission": "denied", "query_columns": { "match": [ "home_player_1", "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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
State the name of the most strongest player.
Sorry, I cannot answer.
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.strength = (SELECT MAX(strength) FROM Player_Attributes) ORDER BY t1.player_name ASC;", "permission": "denied", "query_columns": { "player_attributes": [ "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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
What is the name of players with the highest potential?
Sorry, I cannot answer.
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 ORDER BY t2.potential DESC LIMIT 1", "permission": "denied", "query_columns": { "player_attributes": [ "player_api_id", "potential" ], "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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
Who are the players that tend to be attacking when their mates were doing attack moves? List down their name.
Sorry, I cannot answer.
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.attacking_work_rate = 'high'", "permission": "denied", "query_columns": { "player_attributes": [ "attacking_work_rate", "player_api_id" ], "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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
Among the players with finishing rate of 1, pick the eldest player and state the player's name.
Sorry, I cannot answer.
moderate
{ "gold_sql": "SELECT DISTINCT t1.player_name\nFROM Player AS t1\nINNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id\nWHERE t2.finishing = 1\nORDER BY t1.birthday ASC\nLIMIT 1;", "permission": "denied", "query_columns": { "player_attributes": [ "finishing", "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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
State the names of players who played in matches held in Belgium.
Sorry, I cannot answer.
simple
{ "gold_sql": "SELECT DISTINCT p.player_name\nFROM Country AS c\nJOIN `Match` AS m ON c.id = m.country_id\nJOIN Player AS p ON p.player_api_id IN (\n m.home_player_1, m.home_player_2, m.home_player_3, m.home_player_4, m.home_player_5,\n m.home_player_6, m.home_player_7, m.home_player_8, m.home_player_9, m.home_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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
Locate players with vision scores of 90 and above, state the country of these players.
Sorry, I cannot answer.
moderate
{ "gold_sql": "SELECT DISTINCT t4.name FROM Player_Attributes AS t1 INNER JOIN Player AS t2 ON t1.player_api_id = t2.player_api_id INNER JOIN Match AS t3 ON t2.player_api_id = t3.home_player_8 INNER JOIN Country AS t4 ON t3.country_id = t4.id WHERE t1.vision > 89", "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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
Which country has the highest average weight among all players who participated in matches in that country?
Sorry, I cannot answer.
simple
{ "gold_sql": "SELECT T1.name FROM Country AS T1 INNER JOIN Match AS T2 ON T1.id = T2.country_id INNER JOIN Player AS T3 ON T3.player_api_id IN (T2.home_player_1, T2.home_player_2, T2.home_player_3, T2.home_player_4, T2.home_player_5, T2.home_player_6, T2.home_player_7, T2.home_player_8, T2.home_player_9, T2.home_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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
List down the long name for slow speed class team.
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 = 'Slow'", "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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
What are the short name of team who played safe while creating chance of passing?
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 = 'Safe'", "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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
What is the average height of players who participated in matches in Italy?
Sorry, I cannot answer.
simple
{ "gold_sql": "SELECT AVG(T1.height) FROM Player AS T1 INNER JOIN Match AS T2 ON T1.player_api_id IN (T2.home_player_1, T2.home_player_2, T2.home_player_3, T2.home_player_4, T2.home_player_5, T2.home_player_6, T2.home_player_7, T2.home_player_8, T2.home_player_9, T2.home_player_10, T2.home_player_11, T2.away_player_1...
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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
Please provide the names of top three football players who are over 180 cm tall in alphabetical order.
Sorry, I cannot answer.
simple
{ "gold_sql": "SELECT player_name FROM Player WHERE height > 180 ORDER BY player_name LIMIT 3", "permission": "denied", "query_columns": { "player": [ "height", "player_name" ] }, "missing_columns": { "player": [ "height", "player_name" ] }, "reason": "Missing colum...
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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
How many football players born after the 1990s have the first name 'Aaron'?
Sorry, I cannot answer.
simple
{ "gold_sql": "SELECT COUNT(id)\nFROM Player\nWHERE birthday > '1990' AND player_name LIKE 'Aaron%';", "permission": "denied", "query_columns": { "player": [ "birthday", "id", "player_name" ] }, "missing_columns": { "player": [ "birthday", "id", "player_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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
What is the difference between players 6 and 23's jumping scores?
Sorry, I cannot answer.
simple
{ "gold_sql": "SELECT SUM(CASE WHEN t1.id = 6 THEN t1.jumping ELSE 0 END) -\n SUM(CASE WHEN t1.id = 23 THEN t1.jumping ELSE 0 END)\nFROM Player_Attributes AS t1;", "permission": "denied", "query_columns": { "player_attributes": [ "id", "jumping" ] }, "missing_columns": { "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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
Please provide top five football players' IDs who are among the lowest potential players and prefer to use the right foot when attacking.
Sorry, I cannot answer.
moderate
{ "gold_sql": "SELECT id FROM Player_Attributes WHERE preferred_foot = 'right' ORDER BY potential LIMIT 5", "permission": "denied", "query_columns": { "player_attributes": [ "id", "potential", "preferred_foot" ] }, "missing_columns": { "player_attributes": [ "id", "po...
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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
How many players had the highest potential score for crossing that preferred to use their left foots while attacking?
Sorry, I cannot answer.
moderate
{ "gold_sql": "SELECT COUNT(t1.id) FROM Player_Attributes AS t1 WHERE t1.preferred_foot = 'left' AND t1.crossing = ( SELECT MAX(crossing) FROM Player_Attributes)", "permission": "denied", "query_columns": { "player_attributes": [ "crossing", "id", "preferred_foot" ] }, "missing_colum...
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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
What percentage of players have a strength and stamina score of more than 80?
Sorry, I cannot answer.
simple
{ "gold_sql": "SELECT CAST(COUNT(CASE WHEN strength > 80 AND stamina > 80 THEN id ELSE NULL END) AS REAL) * 100 / COUNT(id) FROM Player_Attributes t", "permission": "denied", "query_columns": { "player_attributes": [ "id", "stamina", "strength" ] }, "missing_columns": { "player_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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
In what country did the Poland Ekstraklasa take place?
Sorry, I cannot answer.
simple
{ "gold_sql": "SELECT name FROM Country WHERE id IN ( SELECT country_id FROM League WHERE name = 'Poland Ekstraklasa' )", "permission": "denied", "query_columns": { "country": [ "id", "name" ], "league": [ "country_id" ] }, "missing_columns": { "league": [ "country_...
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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
What was the final score for the match on September 24, 2008, in the Belgian Jupiler League between the home team and the away team?
SELECT t2.home_team_goal, t2.away_team_goal FROM League AS t1 INNER JOIN Match AS t2 ON t1.id = t2.league_id WHERE t1.name = 'Belgium Jupiler League' AND t2.`date` LIKE '2008-09-24%'
challenging
{ "gold_sql": "SELECT t2.home_team_goal, t2.away_team_goal FROM League AS t1 INNER JOIN Match AS t2 ON t1.id = t2.league_id WHERE t1.name = 'Belgium Jupiler League' AND t2.`date` LIKE '2008-09-24%'", "permission": "allowed", "query_columns": { "match": [ "away_team_goal", "date", "home_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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
What are Alexis Blin's latest sprint speed, agility, and acceleration scores?
Sorry, I cannot answer.
simple
{ "gold_sql": "SELECT sprint_speed, agility, acceleration FROM Player_Attributes WHERE player_api_id IN ( SELECT player_api_id FROM Player WHERE player_name = 'Alexis Blin' ) ORDER BY date DESC LIMIT 1", "permission": "denied", "query_columns": { "player_attributes": [ "acceleration", "agility", ...
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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
Does the KSV Cercle Brugge team have a slow, balanced or fast speed class?
Sorry, I cannot answer.
moderate
{ "gold_sql": "SELECT DISTINCT t1.buildUpPlaySpeedClass FROM Team_Attributes AS t1 INNER JOIN Team AS t2 ON t1.team_api_id = t2.team_api_id WHERE t2.team_long_name = 'KSV Cercle Brugge'", "permission": "denied", "query_columns": { "team": [ "team_api_id", "team_long_name" ], "team_attribut...
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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
In the 2015–2016 season, how many games were played in the Italian Serie A league?
SELECT COUNT(t2.id) FROM League AS t1 INNER JOIN Match AS t2 ON t1.id = t2.league_id WHERE t1.name = 'Italy Serie A' AND t2.season = '2015/2016'
simple
{ "gold_sql": "SELECT COUNT(t2.id) FROM League AS t1 INNER JOIN Match AS t2 ON t1.id = t2.league_id WHERE t1.name = 'Italy Serie A' AND t2.season = '2015/2016'", "permission": "allowed", "query_columns": { "match": [ "id", "league_id", "season" ], "league": [ "id", "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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
What was the highest score of the home team in the Netherlands Eredivisie league?
SELECT MAX(t2.home_team_goal) FROM League AS t1 INNER JOIN Match AS t2 ON t1.id = t2.league_id WHERE t1.name = 'Netherlands Eredivisie'
simple
{ "gold_sql": "SELECT MAX(t2.home_team_goal) FROM League AS t1 INNER JOIN Match AS t2 ON t1.id = t2.league_id WHERE t1.name = 'Netherlands Eredivisie'", "permission": "allowed", "query_columns": { "match": [ "home_team_goal", "league_id" ], "league": [ "id", "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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
Please state the finishing rate and curve score of the player who has the heaviest weight.
Sorry, I cannot answer.
simple
{ "gold_sql": "SELECT id, finishing, curve FROM Player_Attributes WHERE player_api_id = ( SELECT player_api_id FROM Player ORDER BY weight DESC LIMIT 1 ) LIMIT 1", "permission": "denied", "query_columns": { "player_attributes": [ "curve", "finishing", "id", "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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
Which top 4 leagues had the most games in the 2015-2016 season?
SELECT t1.name FROM League AS t1 INNER JOIN Match AS t2 ON t1.id = t2.league_id WHERE t2.season = '2015/2016' GROUP BY t1.name ORDER BY COUNT(t2.id) DESC LIMIT 4
simple
{ "gold_sql": "SELECT t1.name FROM League AS t1 INNER JOIN Match AS t2 ON t1.id = t2.league_id WHERE t2.season = '2015/2016' GROUP BY t1.name ORDER BY COUNT(t2.id) DESC LIMIT 4", "permission": "allowed", "query_columns": { "match": [ "id", "league_id", "season" ], "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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
Please provide the full name of the away team that scored the most goals.
SELECT t2.team_long_name FROM Match AS t1 INNER JOIN Team AS t2 ON t1.away_team_api_id = t2.team_api_id ORDER BY t1.away_team_goal DESC LIMIT 1
moderate
{ "gold_sql": "SELECT t2.team_long_name FROM Match AS t1 INNER JOIN Team AS t2 ON t1.away_team_api_id = t2.team_api_id ORDER BY t1.away_team_goal DESC LIMIT 1", "permission": "allowed", "query_columns": { "team": [ "team_api_id", "team_long_name" ], "match": [ "away_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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
Please name one player whose overall strength is the greatest.
Sorry, I cannot answer.
simple
{ "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.overall_rating = (SELECT MAX(overall_rating) FROM Player_Attributes) ORDER BY t1.player_name LIMIT 1", "permission": "denied", "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 ...
BettingAnalyst
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "B365H", "B365D", "B365A", "BWH", "BWD", "BWA", "IWH", "IWD", "IWA", ...
What is the percentage of players that are under 180 cm who have an overall strength of more than 70?
Sorry, I cannot answer.
moderate
{ "gold_sql": "SELECT CAST(COUNT(CASE WHEN t2.overall_rating > 70 THEN t1.id ELSE NULL END) AS REAL) * 100 / COUNT(t1.id) percent FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t1.height < 180", "permission": "denied", "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 ...
MatchDataRecorder
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "home_player_X1", "home_player_X2", "home_player_X3", "home_player_X4", "home_player_X5",...
Which player has the highest overall rating? Indicate the player's api id.
Sorry, I cannot answer.
simple
{ "gold_sql": "SELECT player_api_id FROM Player_Attributes ORDER BY overall_rating DESC LIMIT 1", "permission": "denied", "query_columns": { "player_attributes": [ "overall_rating", "player_api_id" ] }, "missing_columns": { "player_attributes": [ "overall_rating", "player_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 ...
MatchDataRecorder
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "home_player_X1", "home_player_X2", "home_player_X3", "home_player_X4", "home_player_X5",...
What is the height of the tallest player? Indicate his name.
Sorry, I cannot answer.
simple
{ "gold_sql": "SELECT player_name, height FROM Player ORDER BY height DESC LIMIT 1", "permission": "denied", "query_columns": { "player": [ "height", "player_name" ] }, "missing_columns": { "player": [ "height" ] }, "reason": "Missing column permissions: player: height", ...
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 ...
MatchDataRecorder
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "home_player_X1", "home_player_X2", "home_player_X3", "home_player_X4", "home_player_X5",...
What is the preferred foot when attacking of the player with the lowest potential?
Sorry, I cannot answer.
simple
{ "gold_sql": "SELECT preferred_foot FROM Player_Attributes WHERE potential IS NOT NULL ORDER BY potential ASC LIMIT 1", "permission": "denied", "query_columns": { "player_attributes": [ "potential", "preferred_foot" ] }, "missing_columns": { "player_attributes": [ "potential", ...
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 ...
MatchDataRecorder
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "home_player_X1", "home_player_X2", "home_player_X3", "home_player_X4", "home_player_X5",...
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 ...
MatchDataRecorder
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "home_player_X1", "home_player_X2", "home_player_X3", "home_player_X4", "home_player_X5",...
Who are the top 5 players by maximum crossing rating? Indicate their player id.
Sorry, I cannot answer.
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": "denied", "query_columns": { "player_attributes": [ "crossing", "player_api_id" ] }, "missing_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 ...
MatchDataRecorder
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "home_player_X1", "home_player_X2", "home_player_X3", "home_player_X4", "home_player_X5",...
Give the name of the league that had the most goals in the 2016 season?
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
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": "allowed", "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 ...
MatchDataRecorder
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "home_player_X1", "home_player_X2", "home_player_X3", "home_player_X4", "home_player_X5",...
Which home team had lost the fewest matches in the 2016 season?
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, teamDetails.team_ap...
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 ...
MatchDataRecorder
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "home_player_X1", "home_player_X2", "home_player_X3", "home_player_X4", "home_player_X5",...
Indicate the full names of the top 10 players with the highest penalties rating.
Sorry, I cannot answer.
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": "denied", "query_columns": { "player_attributes": [ "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 ...
MatchDataRecorder
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "home_player_X1", "home_player_X2", "home_player_X3", "home_player_X4", "home_player_X5",...
In Scotland Premier League, which away team won the most during the 2010 season?
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, t.team_api_id ASC...
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 ...
MatchDataRecorder
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "home_player_X1", "home_player_X2", "home_player_X3", "home_player_X4", "home_player_X5",...
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 ...
MatchDataRecorder
{ "Match": [ "id", "country_id", "league_id", "season", "stage", "date", "match_api_id", "home_team_api_id", "away_team_api_id", "home_team_goal", "away_team_goal", "home_player_X1", "home_player_X2", "home_player_X3", "home_player_X4", "home_player_X5",...
Give the name of the league had the most matches end as draw in the 2016 season?
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
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": "allowed", "query_columns": { "match": [ "away_team_goal", "hom...