sharkiefff/RBAC-Text2SQL-Benchmark huggingface dataset:
##Instruction:
Database: match_season
Total Tables: 4
Total Columns: 21

Table Schemas:

match_season contains tables such as country, team, match_season, player.
Table country has columns such as Country_id, Country_name, Capital, Official_native_language.
Country_id is the primary key.
Table team has columns such as Team_id, Name.
Team_id is the primary key.
Table match_season has columns such as Season, Player, Position, Country, Team, Draft_Pick_Number, Draft_Class, College.
Season is the primary key.
Table player has columns such as Player_ID, Player, Years_Played, Total_WL, Singles_WL, Doubles_WL, Team.
Player_ID is the primary key.
The Team of match_season is the foreign key of Team_id of team.
The Country of match_season is the foreign key of Country_id of country.
The Team of player is the foreign key of Team_id of team.

##Role Access Policy (Column-Level):
Role: ScoutingAnalyst
Accessible Columns: country: Country_id, Country_name, Official_native_language; team: Team_id, Name; match_season: Season, Player, Position, Country, Team, Draft_Pick_Number, Draft_Class, College; player: Player_ID, Player, Years_Played, Total_WL, Singles_WL, Doubles_WL, Team

Based on the above schema and your role's column-level access policy, generate a SQL query to answer the question. If your role does not have access to the required columns, respond with: "Sorry, I cannot answer."


Question: What are the official languages of the countries of players from Maryland or Duke college?
Answer: SELECT T1.Official_native_language FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id  =  T2.Country WHERE T2.College  =  "Maryland" OR T2.College  =  "Duke"
Permission: allowed (All required columns are permitted)
Gold SQL: SELECT T1.Official_native_language FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id  =  T2.Country WHERE T2.College  =  "Maryland" OR T2.College  =  "Duke"
##Instruction:
Database: match_season
Total Tables: 4
Total Columns: 21

Table Schemas:

match_season contains tables such as country, team, match_season, player.
Table country has columns such as Country_id, Country_name, Capital, Official_native_language.
Country_id is the primary key.
Table team has columns such as Team_id, Name.
Team_id is the primary key.
Table match_season has columns such as Season, Player, Position, Country, Team, Draft_Pick_Number, Draft_Class, College.
Season is the primary key.
Table player has columns such as Player_ID, Player, Years_Played, Total_WL, Singles_WL, Doubles_WL, Team.
Player_ID is the primary key.
The Team of match_season is the foreign key of Team_id of team.
The Country of match_season is the foreign key of Country_id of country.
The Team of player is the foreign key of Team_id of team.

##Role Access Policy (Column-Level):
Role: ScoutingAnalyst
Accessible Columns: country: Country_id, Country_name, Official_native_language; team: Team_id, Name; match_season: Season, Player, Position, Country, Team, Draft_Pick_Number, Draft_Class, College; player: Player_ID, Player, Years_Played, Total_WL, Singles_WL, Doubles_WL, Team

Based on the above schema and your role's column-level access policy, generate a SQL query to answer the question. If your role does not have access to the required columns, respond with: "Sorry, I cannot answer."


Question: Return the official native languages of countries who have players from Maryland or Duke colleges.
Answer: SELECT T1.Official_native_language FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id  =  T2.Country WHERE T2.College  =  "Maryland" OR T2.College  =  "Duke"
Permission: allowed (All required columns are permitted)
Gold SQL: SELECT T1.Official_native_language FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id  =  T2.Country WHERE T2.College  =  "Maryland" OR T2.College  =  "Duke"
##Instruction:
Database: match_season
Total Tables: 4
Total Columns: 21

Table Schemas:

match_season contains tables such as country, team, match_season, player.
Table country has columns such as Country_id, Country_name, Capital, Official_native_language.
Country_id is the primary key.
Table team has columns such as Team_id, Name.
Team_id is the primary key.
Table match_season has columns such as Season, Player, Position, Country, Team, Draft_Pick_Number, Draft_Class, College.
Season is the primary key.
Table player has columns such as Player_ID, Player, Years_Played, Total_WL, Singles_WL, Doubles_WL, Team.
Player_ID is the primary key.
The Team of match_season is the foreign key of Team_id of team.
The Country of match_season is the foreign key of Country_id of country.
The Team of player is the foreign key of Team_id of team.

##Role Access Policy (Column-Level):
Role: ScoutingAnalyst
Accessible Columns: country: Country_id, Country_name, Official_native_language; team: Team_id, Name; match_season: Season, Player, Position, Country, Team, Draft_Pick_Number, Draft_Class, College; player: Player_ID, Player, Years_Played, Total_WL, Singles_WL, Doubles_WL, Team

Based on the above schema and your role's column-level access policy, generate a SQL query to answer the question. If your role does not have access to the required columns, respond with: "Sorry, I cannot answer."


Question: How many distinct official languages are there among countries of players whose positions are defenders.
Answer: SELECT count(DISTINCT T1.Official_native_language) FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id  =  T2.Country WHERE T2.Position  =  "Defender"
Permission: allowed (All required columns are permitted)
Gold SQL: SELECT count(DISTINCT T1.Official_native_language) FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id  =  T2.Country WHERE T2.Position  =  "Defender"
##Instruction:
Database: match_season
Total Tables: 4
Total Columns: 21

Table Schemas:

match_season contains tables such as country, team, match_season, player.
Table country has columns such as Country_id, Country_name, Capital, Official_native_language.
Country_id is the primary key.
Table team has columns such as Team_id, Name.
Team_id is the primary key.
Table match_season has columns such as Season, Player, Position, Country, Team, Draft_Pick_Number, Draft_Class, College.
Season is the primary key.
Table player has columns such as Player_ID, Player, Years_Played, Total_WL, Singles_WL, Doubles_WL, Team.
Player_ID is the primary key.
The Team of match_season is the foreign key of Team_id of team.
The Country of match_season is the foreign key of Country_id of country.
The Team of player is the foreign key of Team_id of team.

##Role Access Policy (Column-Level):
Role: ScoutingAnalyst
Accessible Columns: country: Country_id, Country_name, Official_native_language; team: Team_id, Name; match_season: Season, Player, Position, Country, Team, Draft_Pick_Number, Draft_Class, College; player: Player_ID, Player, Years_Played, Total_WL, Singles_WL, Doubles_WL, Team

Based on the above schema and your role's column-level access policy, generate a SQL query to answer the question. If your role does not have access to the required columns, respond with: "Sorry, I cannot answer."


Question: Count the number of different official languages corresponding to countries that players who play Defender are from.
Answer: SELECT count(DISTINCT T1.Official_native_language) FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id  =  T2.Country WHERE T2.Position  =  "Defender"
Permission: allowed (All required columns are permitted)
Gold SQL: SELECT count(DISTINCT T1.Official_native_language) FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id  =  T2.Country WHERE T2.Position  =  "Defender"
##Instruction:
Database: match_season
Total Tables: 4
Total Columns: 21

Table Schemas:

match_season contains tables such as country, team, match_season, player.
Table country has columns such as Country_id, Country_name, Capital, Official_native_language.
Country_id is the primary key.
Table team has columns such as Team_id, Name.
Team_id is the primary key.
Table match_season has columns such as Season, Player, Position, Country, Team, Draft_Pick_Number, Draft_Class, College.
Season is the primary key.
Table player has columns such as Player_ID, Player, Years_Played, Total_WL, Singles_WL, Doubles_WL, Team.
Player_ID is the primary key.
The Team of match_season is the foreign key of Team_id of team.
The Country of match_season is the foreign key of Country_id of country.
The Team of player is the foreign key of Team_id of team.

##Role Access Policy (Column-Level):
Role: ScoutingAnalyst
Accessible Columns: country: Country_id, Country_name, Official_native_language; team: Team_id, Name; match_season: Season, Player, Position, Country, Team, Draft_Pick_Number, Draft_Class, College; player: Player_ID, Player, Years_Played, Total_WL, Singles_WL, Doubles_WL, Team

Based on the above schema and your role's column-level access policy, generate a SQL query to answer the question. If your role does not have access to the required columns, respond with: "Sorry, I cannot answer."


Question: Show the season, the player, and the name of the team that players belong to.
Answer: SELECT T1.Season ,  T1.Player ,  T2.Name FROM match_season AS T1 JOIN team AS T2 ON T1.Team  =  T2.Team_id
Permission: allowed (All required columns are permitted)
Gold SQL: SELECT T1.Season ,  T1.Player ,  T2.Name FROM match_season AS T1 JOIN team AS T2 ON T1.Team  =  T2.Team_id
##Instruction:
Database: match_season
Total Tables: 4
Total Columns: 21

Table Schemas:

match_season contains tables such as country, team, match_season, player.
Table country has columns such as Country_id, Country_name, Capital, Official_native_language.
Country_id is the primary key.
Table team has columns such as Team_id, Name.
Team_id is the primary key.
Table match_season has columns such as Season, Player, Position, Country, Team, Draft_Pick_Number, Draft_Class, College.
Season is the primary key.
Table player has columns such as Player_ID, Player, Years_Played, Total_WL, Singles_WL, Doubles_WL, Team.
Player_ID is the primary key.
The Team of match_season is the foreign key of Team_id of team.
The Country of match_season is the foreign key of Country_id of country.
The Team of player is the foreign key of Team_id of team.

##Role Access Policy (Column-Level):
Role: ScoutingAnalyst
Accessible Columns: country: Country_id, Country_name, Official_native_language; team: Team_id, Name; match_season: Season, Player, Position, Country, Team, Draft_Pick_Number, Draft_Class, College; player: Player_ID, Player, Years_Played, Total_WL, Singles_WL, Doubles_WL, Team

Based on the above schema and your role's column-level access policy, generate a SQL query to answer the question. If your role does not have access to the required columns, respond with: "Sorry, I cannot answer."


Question: Who are the different players, what season do they play in, and what is the name of the team they are on?
Answer: SELECT T1.Season ,  T1.Player ,  T2.Name FROM match_season AS T1 JOIN team AS T2 ON T1.Team  =  T2.Team_id
Permission: allowed (All required columns are permitted)
Gold SQL: SELECT T1.Season ,  T1.Player ,  T2.Name FROM match_season AS T1 JOIN team AS T2 ON T1.Team  =  T2.Team_id
##Instruction:
Database: match_season
Total Tables: 4
Total Columns: 21

Table Schemas:

match_season contains tables such as country, team, match_season, player.
Table country has columns such as Country_id, Country_name, Capital, Official_native_language.
Country_id is the primary key.
Table team has columns such as Team_id, Name.
Team_id is the primary key.
Table match_season has columns such as Season, Player, Position, Country, Team, Draft_Pick_Number, Draft_Class, College.
Season is the primary key.
Table player has columns such as Player_ID, Player, Years_Played, Total_WL, Singles_WL, Doubles_WL, Team.
Player_ID is the primary key.
The Team of match_season is the foreign key of Team_id of team.
The Country of match_season is the foreign key of Country_id of country.
The Team of player is the foreign key of Team_id of team.

##Role Access Policy (Column-Level):
Role: ScoutingAnalyst
Accessible Columns: country: Country_id, Country_name, Official_native_language; team: Team_id, Name; match_season: Season, Player, Position, Country, Team, Draft_Pick_Number, Draft_Class, College; player: Player_ID, Player, Years_Played, Total_WL, Singles_WL, Doubles_WL, Team

Based on the above schema and your role's column-level access policy, generate a SQL query to answer the question. If your role does not have access to the required columns, respond with: "Sorry, I cannot answer."


Question: Show the positions of the players from the team with name "Ryley Goldner".
Answer: SELECT T1.Position FROM match_season AS T1 JOIN team AS T2 ON T1.Team  =  T2.Team_id WHERE T2.Name  =  "Ryley Goldner"
Permission: allowed (All required columns are permitted)
Gold SQL: SELECT T1.Position FROM match_season AS T1 JOIN team AS T2 ON T1.Team  =  T2.Team_id WHERE T2.Name  =  "Ryley Goldner"
##Instruction:
Database: match_season
Total Tables: 4
Total Columns: 21

Table Schemas:

match_season contains tables such as country, team, match_season, player.
Table country has columns such as Country_id, Country_name, Capital, Official_native_language.
Country_id is the primary key.
Table team has columns such as Team_id, Name.
Team_id is the primary key.
Table match_season has columns such as Season, Player, Position, Country, Team, Draft_Pick_Number, Draft_Class, College.
Season is the primary key.
Table player has columns such as Player_ID, Player, Years_Played, Total_WL, Singles_WL, Doubles_WL, Team.
Player_ID is the primary key.
The Team of match_season is the foreign key of Team_id of team.
The Country of match_season is the foreign key of Country_id of country.
The Team of player is the foreign key of Team_id of team.

##Role Access Policy (Column-Level):
Role: ScoutingAnalyst
Accessible Columns: country: Country_id, Country_name, Official_native_language; team: Team_id, Name; match_season: Season, Player, Position, Country, Team, Draft_Pick_Number, Draft_Class, College; player: Player_ID, Player, Years_Played, Total_WL, Singles_WL, Doubles_WL, Team

Based on the above schema and your role's column-level access policy, generate a SQL query to answer the question. If your role does not have access to the required columns, respond with: "Sorry, I cannot answer."


Question: Return the positions of players on the team Ryley Goldner.
Answer: SELECT T1.Position FROM match_season AS T1 JOIN team AS T2 ON T1.Team  =  T2.Team_id WHERE T2.Name  =  "Ryley Goldner"
Permission: allowed (All required columns are permitted)
Gold SQL: SELECT T1.Position FROM match_season AS T1 JOIN team AS T2 ON T1.Team  =  T2.Team_id WHERE T2.Name  =  "Ryley Goldner"
##Instruction:
Database: match_season
Total Tables: 4
Total Columns: 21

Table Schemas:

match_season contains tables such as country, team, match_season, player.
Table country has columns such as Country_id, Country_name, Capital, Official_native_language.
Country_id is the primary key.
Table team has columns such as Team_id, Name.
Team_id is the primary key.
Table match_season has columns such as Season, Player, Position, Country, Team, Draft_Pick_Number, Draft_Class, College.
Season is the primary key.
Table player has columns such as Player_ID, Player, Years_Played, Total_WL, Singles_WL, Doubles_WL, Team.
Player_ID is the primary key.
The Team of match_season is the foreign key of Team_id of team.
The Country of match_season is the foreign key of Country_id of country.
The Team of player is the foreign key of Team_id of team.

##Role Access Policy (Column-Level):
Role: ScoutingAnalyst
Accessible Columns: country: Country_id, Country_name, Official_native_language; team: Team_id, Name; match_season: Season, Player, Position, Country, Team, Draft_Pick_Number, Draft_Class, College; player: Player_ID, Player, Years_Played, Total_WL, Singles_WL, Doubles_WL, Team

Based on the above schema and your role's column-level access policy, generate a SQL query to answer the question. If your role does not have access to the required columns, respond with: "Sorry, I cannot answer."


Question: How many distinct colleges are associated with players from the team with name "Columbus Crew".
Answer: SELECT count(DISTINCT T1.College) FROM match_season AS T1 JOIN team AS T2 ON T1.Team  =  T2.Team_id WHERE T2.Name  =  "Columbus Crew"
Permission: allowed (All required columns are permitted)
Gold SQL: SELECT count(DISTINCT T1.College) FROM match_season AS T1 JOIN team AS T2 ON T1.Team  =  T2.Team_id WHERE T2.Name  =  "Columbus Crew"
##Instruction:
Database: match_season
Total Tables: 4
Total Columns: 21

Table Schemas:

match_season contains tables such as country, team, match_season, player.
Table country has columns such as Country_id, Country_name, Capital, Official_native_language.
Country_id is the primary key.
Table team has columns such as Team_id, Name.
Team_id is the primary key.
Table match_season has columns such as Season, Player, Position, Country, Team, Draft_Pick_Number, Draft_Class, College.
Season is the primary key.
Table player has columns such as Player_ID, Player, Years_Played, Total_WL, Singles_WL, Doubles_WL, Team.
Player_ID is the primary key.
The Team of match_season is the foreign key of Team_id of team.
The Country of match_season is the foreign key of Country_id of country.
The Team of player is the foreign key of Team_id of team.

##Role Access Policy (Column-Level):
Role: ScoutingAnalyst
Accessible Columns: country: Country_id, Country_name, Official_native_language; team: Team_id, Name; match_season: Season, Player, Position, Country, Team, Draft_Pick_Number, Draft_Class, College; player: Player_ID, Player, Years_Played, Total_WL, Singles_WL, Doubles_WL, Team

Based on the above schema and your role's column-level access policy, generate a SQL query to answer the question. If your role does not have access to the required columns, respond with: "Sorry, I cannot answer."


Question: Count the number of different colleges that players who play for Columbus Crew are from.
Answer: SELECT count(DISTINCT T1.College) FROM match_season AS T1 JOIN team AS T2 ON T1.Team  =  T2.Team_id WHERE T2.Name  =  "Columbus Crew"
Permission: allowed (All required columns are permitted)
Gold SQL: SELECT count(DISTINCT T1.College) FROM match_season AS T1 JOIN team AS T2 ON T1.Team  =  T2.Team_id WHERE T2.Name  =  "Columbus Crew"
##Instruction:
Database: match_season
Total Tables: 4
Total Columns: 21

Table Schemas:

match_season contains tables such as country, team, match_season, player.
Table country has columns such as Country_id, Country_name, Capital, Official_native_language.
Country_id is the primary key.
Table team has columns such as Team_id, Name.
Team_id is the primary key.
Table match_season has columns such as Season, Player, Position, Country, Team, Draft_Pick_Number, Draft_Class, College.
Season is the primary key.
Table player has columns such as Player_ID, Player, Years_Played, Total_WL, Singles_WL, Doubles_WL, Team.
Player_ID is the primary key.
The Team of match_season is the foreign key of Team_id of team.
The Country of match_season is the foreign key of Country_id of country.
The Team of player is the foreign key of Team_id of team.

##Role Access Policy (Column-Level):
Role: ScoutingAnalyst
Accessible Columns: country: Country_id, Country_name, Official_native_language; team: Team_id, Name; match_season: Season, Player, Position, Country, Team, Draft_Pick_Number, Draft_Class, College; player: Player_ID, Player, Years_Played, Total_WL, Singles_WL, Doubles_WL, Team

Based on the above schema and your role's column-level access policy, generate a SQL query to answer the question. If your role does not have access to the required columns, respond with: "Sorry, I cannot answer."


Question: Show the players and years played for players from team "Columbus Crew".
Answer: SELECT T1.Player , T1.Years_Played FROM player AS T1 JOIN team AS T2 ON T1.Team  =  T2.Team_id WHERE T2.Name  =  "Columbus Crew"
Permission: allowed (All required columns are permitted)
Gold SQL: SELECT T1.Player , T1.Years_Played FROM player AS T1 JOIN team AS T2 ON T1.Team  =  T2.Team_id WHERE T2.Name  =  "Columbus Crew"
##Instruction:
Database: match_season
Total Tables: 4
Total Columns: 21

Table Schemas:

match_season contains tables such as country, team, match_season, player.
Table country has columns such as Country_id, Country_name, Capital, Official_native_language.
Country_id is the primary key.
Table team has columns such as Team_id, Name.
Team_id is the primary key.
Table match_season has columns such as Season, Player, Position, Country, Team, Draft_Pick_Number, Draft_Class, College.
Season is the primary key.
Table player has columns such as Player_ID, Player, Years_Played, Total_WL, Singles_WL, Doubles_WL, Team.
Player_ID is the primary key.
The Team of match_season is the foreign key of Team_id of team.
The Country of match_season is the foreign key of Country_id of country.
The Team of player is the foreign key of Team_id of team.

##Role Access Policy (Column-Level):
Role: ScoutingAnalyst
Accessible Columns: country: Country_id, Country_name, Official_native_language; team: Team_id, Name; match_season: Season, Player, Position, Country, Team, Draft_Pick_Number, Draft_Class, College; player: Player_ID, Player, Years_Played, Total_WL, Singles_WL, Doubles_WL, Team

Based on the above schema and your role's column-level access policy, generate a SQL query to answer the question. If your role does not have access to the required columns, respond with: "Sorry, I cannot answer."


Question: What are the players who played for Columbus Crew, and how many years did each play for?
Answer: SELECT T1.Player , T1.Years_Played FROM player AS T1 JOIN team AS T2 ON T1.Team  =  T2.Team_id WHERE T2.Name  =  "Columbus Crew"
Permission: allowed (All required columns are permitted)
Gold SQL: SELECT T1.Player , T1.Years_Played FROM player AS T1 JOIN team AS T2 ON T1.Team  =  T2.Team_id WHERE T2.Name  =  "Columbus Crew"
##Instruction:
Database: match_season
Total Tables: 4
Total Columns: 21

Table Schemas:

match_season contains tables such as country, team, match_season, player.
Table country has columns such as Country_id, Country_name, Capital, Official_native_language.
Country_id is the primary key.
Table team has columns such as Team_id, Name.
Team_id is the primary key.
Table match_season has columns such as Season, Player, Position, Country, Team, Draft_Pick_Number, Draft_Class, College.
Season is the primary key.
Table player has columns such as Player_ID, Player, Years_Played, Total_WL, Singles_WL, Doubles_WL, Team.
Player_ID is the primary key.
The Team of match_season is the foreign key of Team_id of team.
The Country of match_season is the foreign key of Country_id of country.
The Team of player is the foreign key of Team_id of team.

##Role Access Policy (Column-Level):
Role: ScoutingAnalyst
Accessible Columns: country: Country_id, Country_name, Official_native_language; team: Team_id, Name; match_season: Season, Player, Position, Country, Team, Draft_Pick_Number, Draft_Class, College; player: Player_ID, Player, Years_Played, Total_WL, Singles_WL, Doubles_WL, Team

Based on the above schema and your role's column-level access policy, generate a SQL query to answer the question. If your role does not have access to the required columns, respond with: "Sorry, I cannot answer."


Question: Show the position of players and the corresponding number of players.
Answer: SELECT POSITION ,  COUNT(*) FROM match_season GROUP BY POSITION
Permission: allowed (All required columns are permitted)
Gold SQL: SELECT POSITION ,  COUNT(*) FROM match_season GROUP BY POSITION