sharkiefff/RBAC-Text2SQL-Benchmark huggingface dataset:
##Instruction:
Database: debit_card_specializing
Total Tables: 5
Total Columns: 21

Table Schemas:

Database: debit_card_specializing
Total Tables: 5
Total Columns: 21

Table Schemas:

Table: customers (3 columns)
----------------------------
• CustomerID (integer): identification of the customer
• Segment (text): client segment
• Currency (text): Currency

Table: gasstations (4 columns)
------------------------------
• GasStationID (integer): Gas Station ID
• ChainID (integer): Chain ID
• Country (text)
• Segment (text): chain segment

Table: products (2 columns)
---------------------------
• ProductID (integer): Product ID
• Description (text): Description

Table: transactions_1k (9 columns)
----------------------------------
• TransactionID (integer): Transaction ID
• Date (date): Date
• Time (text): Time
• CustomerID (integer): Customer ID
• CardID (integer): Card ID
• GasStationID (integer): Gas Station ID
• ProductID (integer): Product ID
• Amount (integer): Amount
• Price (real): Price
  Values: commonsense evidence:

total price = Amount x Price

Table: yearmonth (3 columns)
----------------------------
• CustomerID (integer): Customer ID
• Date (text): Date
• Consumption (real): consumption

##Evidence:
Czech Republic can be represented as the Country value in gasstations table is 'CZE'; Slovakia can be represented as the Country value in the gasstations table is 'SVK';  Computation of more "discount" gas stations= Total no. of discount gas stations in Czech Republic - Total no. of discount gas stations in Slovakia

##Role Access Policy (Column-Level):
Role: DataOperator_1
Accessible Columns: customers: ALL COLUMNS; gasstations: ALL COLUMNS; products: ALL COLUMNS; yearmonth: ALL COLUMNS

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 more "discount" gas stations does the Czech Republic have compared to Slovakia?
Evidence: Czech Republic can be represented as the Country value in gasstations table is 'CZE'; Slovakia can be represented as the Country value in the gasstations table is 'SVK';  Computation of more "discount" gas stations= Total no. of discount gas stations in Czech Republic - Total no. of discount gas stations in Slovakia
Answer: SELECT SUM(IIF(Country = 'CZE', 1, 0)) - SUM(IIF(Country = 'SVK', 1, 0)) FROM gasstations WHERE Segment = 'Discount'
Permission: allowed (All required columns are permitted)
Gold SQL: SELECT SUM(IIF(Country = 'CZE', 1, 0)) - SUM(IIF(Country = 'SVK', 1, 0)) FROM gasstations WHERE Segment = 'Discount'
##Instruction:
Database: debit_card_specializing
Total Tables: 5
Total Columns: 21

Table Schemas:

Database: debit_card_specializing
Total Tables: 5
Total Columns: 21

Table Schemas:

Table: customers (3 columns)
----------------------------
• CustomerID (integer): identification of the customer
• Segment (text): client segment
• Currency (text): Currency

Table: gasstations (4 columns)
------------------------------
• GasStationID (integer): Gas Station ID
• ChainID (integer): Chain ID
• Country (text)
• Segment (text): chain segment

Table: products (2 columns)
---------------------------
• ProductID (integer): Product ID
• Description (text): Description

Table: transactions_1k (9 columns)
----------------------------------
• TransactionID (integer): Transaction ID
• Date (date): Date
• Time (text): Time
• CustomerID (integer): Customer ID
• CardID (integer): Card ID
• GasStationID (integer): Gas Station ID
• ProductID (integer): Product ID
• Amount (integer): Amount
• Price (real): Price
  Values: commonsense evidence:

total price = Amount x Price

Table: yearmonth (3 columns)
----------------------------
• CustomerID (integer): Customer ID
• Date (text): Date
• Consumption (real): consumption

##Evidence:
April 2013 refers to 201304 in the yearmonth.date

##Role Access Policy (Column-Level):
Role: DataOperator_1
Accessible Columns: customers: ALL COLUMNS; gasstations: ALL COLUMNS; products: ALL COLUMNS; yearmonth: ALL COLUMNS

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 much more was customer 7 consuming in April 2013 than customer 5?
Evidence: April 2013 refers to 201304 in the yearmonth.date
Answer: SELECT SUM(IIF(CustomerID = 7, Consumption, 0)) - SUM(IIF(CustomerID = 5, Consumption, 0)) FROM yearmonth WHERE Date = '201304'
Permission: allowed (All required columns are permitted)
Gold SQL: SELECT SUM(IIF(CustomerID = 7, Consumption, 0)) - SUM(IIF(CustomerID = 5, Consumption, 0)) FROM yearmonth WHERE Date = '201304'
##Instruction:
Database: debit_card_specializing
Total Tables: 5
Total Columns: 21

Table Schemas:

Database: debit_card_specializing
Total Tables: 5
Total Columns: 21

Table Schemas:

Table: customers (3 columns)
----------------------------
• CustomerID (integer): identification of the customer
• Segment (text): client segment
• Currency (text): Currency

Table: gasstations (4 columns)
------------------------------
• GasStationID (integer): Gas Station ID
• ChainID (integer): Chain ID
• Country (text)
• Segment (text): chain segment

Table: products (2 columns)
---------------------------
• ProductID (integer): Product ID
• Description (text): Description

Table: transactions_1k (9 columns)
----------------------------------
• TransactionID (integer): Transaction ID
• Date (date): Date
• Time (text): Time
• CustomerID (integer): Customer ID
• CardID (integer): Card ID
• GasStationID (integer): Gas Station ID
• ProductID (integer): Product ID
• Amount (integer): Amount
• Price (real): Price
  Values: commonsense evidence:

total price = Amount x Price

Table: yearmonth (3 columns)
----------------------------
• CustomerID (integer): Customer ID
• Date (text): Date
• Consumption (real): consumption

##Evidence:
Amount of more SMEs = Total of SMEs pay using Currency CZK - Total of SMEs pay using Currency EUR

##Role Access Policy (Column-Level):
Role: DataOperator_1
Accessible Columns: customers: ALL COLUMNS; gasstations: ALL COLUMNS; products: ALL COLUMNS; yearmonth: ALL COLUMNS

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: Is it true that more SMEs pay in Czech koruna than in euros? If so, how many more?
Evidence: Amount of more SMEs = Total of SMEs pay using Currency CZK - Total of SMEs pay using Currency EUR
Answer: SELECT SUM(Currency = 'CZK') - SUM(Currency = 'EUR') FROM customers WHERE Segment = 'SME'
Permission: allowed (All required columns are permitted)
Gold SQL: SELECT SUM(Currency = 'CZK') - SUM(Currency = 'EUR') FROM customers WHERE Segment = 'SME'
##Instruction:
Database: debit_card_specializing
Total Tables: 5
Total Columns: 21

Table Schemas:

Database: debit_card_specializing
Total Tables: 5
Total Columns: 21

Table Schemas:

Table: customers (3 columns)
----------------------------
• CustomerID (integer): identification of the customer
• Segment (text): client segment
• Currency (text): Currency

Table: gasstations (4 columns)
------------------------------
• GasStationID (integer): Gas Station ID
• ChainID (integer): Chain ID
• Country (text)
• Segment (text): chain segment

Table: products (2 columns)
---------------------------
• ProductID (integer): Product ID
• Description (text): Description

Table: transactions_1k (9 columns)
----------------------------------
• TransactionID (integer): Transaction ID
• Date (date): Date
• Time (text): Time
• CustomerID (integer): Customer ID
• CardID (integer): Card ID
• GasStationID (integer): Gas Station ID
• ProductID (integer): Product ID
• Amount (integer): Amount
• Price (real): Price
  Values: commonsense evidence:

total price = Amount x Price

Table: yearmonth (3 columns)
----------------------------
• CustomerID (integer): Customer ID
• Date (text): Date
• Consumption (real): consumption

##Evidence:
October 2013 refers to 201310 in the yearmonth.date

##Role Access Policy (Column-Level):
Role: DataOperator_1
Accessible Columns: customers: ALL COLUMNS; gasstations: ALL COLUMNS; products: ALL COLUMNS; yearmonth: ALL COLUMNS

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: Which LAM customer used the Euro as their currency and had the highest consumption in October 2013?
Evidence: October 2013 refers to 201310 in the yearmonth.date
Answer: SELECT T1.CustomerID FROM customers AS T1 INNER JOIN yearmonth AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.Segment = 'LAM' AND T2.Date = '201310' AND T1.Currency = 'EUR' GROUP BY T1.CustomerID ORDER BY SUM(T2.Consumption) DESC LIMIT 1
Permission: allowed (All required columns are permitted)
Gold SQL: SELECT T1.CustomerID FROM customers AS T1 INNER JOIN yearmonth AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.Segment = 'LAM' AND T2.Date = '201310' AND T1.Currency = 'EUR' GROUP BY T1.CustomerID ORDER BY SUM(T2.Consumption) DESC LIMIT 1
##Instruction:
Database: debit_card_specializing
Total Tables: 5
Total Columns: 21

Table Schemas:

Database: debit_card_specializing
Total Tables: 5
Total Columns: 21

Table Schemas:

Table: customers (3 columns)
----------------------------
• CustomerID (integer): identification of the customer
• Segment (text): client segment
• Currency (text): Currency

Table: gasstations (4 columns)
------------------------------
• GasStationID (integer): Gas Station ID
• ChainID (integer): Chain ID
• Country (text)
• Segment (text): chain segment

Table: products (2 columns)
---------------------------
• ProductID (integer): Product ID
• Description (text): Description

Table: transactions_1k (9 columns)
----------------------------------
• TransactionID (integer): Transaction ID
• Date (date): Date
• Time (text): Time
• CustomerID (integer): Customer ID
• CardID (integer): Card ID
• GasStationID (integer): Gas Station ID
• ProductID (integer): Product ID
• Amount (integer): Amount
• Price (real): Price
  Values: commonsense evidence:

total price = Amount x Price

Table: yearmonth (3 columns)
----------------------------
• CustomerID (integer): Customer ID
• Date (text): Date
• Consumption (real): consumption

##Evidence:
N/A

##Role Access Policy (Column-Level):
Role: DataOperator_1
Accessible Columns: customers: ALL COLUMNS; gasstations: ALL COLUMNS; products: ALL COLUMNS; yearmonth: ALL COLUMNS

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 among KAM's customers consumed the most? How much did it consume?
Answer: SELECT T2.CustomerID, SUM(T2.Consumption) FROM customers AS T1 INNER JOIN yearmonth AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.Segment = 'KAM' GROUP BY T2.CustomerID ORDER BY SUM(T2.Consumption) DESC LIMIT 1
Permission: allowed (All required columns are permitted)
Gold SQL: SELECT T2.CustomerID, SUM(T2.Consumption) FROM customers AS T1 INNER JOIN yearmonth AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.Segment = 'KAM' GROUP BY T2.CustomerID ORDER BY SUM(T2.Consumption) DESC LIMIT 1
##Instruction:
Database: debit_card_specializing
Total Tables: 5
Total Columns: 21

Table Schemas:

Database: debit_card_specializing
Total Tables: 5
Total Columns: 21

Table Schemas:

Table: customers (3 columns)
----------------------------
• CustomerID (integer): identification of the customer
• Segment (text): client segment
• Currency (text): Currency

Table: gasstations (4 columns)
------------------------------
• GasStationID (integer): Gas Station ID
• ChainID (integer): Chain ID
• Country (text)
• Segment (text): chain segment

Table: products (2 columns)
---------------------------
• ProductID (integer): Product ID
• Description (text): Description

Table: transactions_1k (9 columns)
----------------------------------
• TransactionID (integer): Transaction ID
• Date (date): Date
• Time (text): Time
• CustomerID (integer): Customer ID
• CardID (integer): Card ID
• GasStationID (integer): Gas Station ID
• ProductID (integer): Product ID
• Amount (integer): Amount
• Price (real): Price
  Values: commonsense evidence:

total price = Amount x Price

Table: yearmonth (3 columns)
----------------------------
• CustomerID (integer): Customer ID
• Date (text): Date
• Consumption (real): consumption

##Evidence:
May 2013 refers to yearmonth.date = 201305

##Role Access Policy (Column-Level):
Role: DataOperator_1
Accessible Columns: customers: ALL COLUMNS; gasstations: ALL COLUMNS; products: ALL COLUMNS; yearmonth: ALL COLUMNS

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 much did the KAM customers consume in total in May 2013?
Evidence: May 2013 refers to yearmonth.date = 201305
Answer: SELECT SUM(T2.Consumption) FROM customers AS T1 INNER JOIN yearmonth AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.Date = '201305' AND T1.Segment = 'KAM'
Permission: allowed (All required columns are permitted)
Gold SQL: SELECT SUM(T2.Consumption) FROM customers AS T1 INNER JOIN yearmonth AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.Date = '201305' AND T1.Segment = 'KAM'
##Instruction:
Database: debit_card_specializing
Total Tables: 5
Total Columns: 21

Table Schemas:

Database: debit_card_specializing
Total Tables: 5
Total Columns: 21

Table Schemas:

Table: customers (3 columns)
----------------------------
• CustomerID (integer): identification of the customer
• Segment (text): client segment
• Currency (text): Currency

Table: gasstations (4 columns)
------------------------------
• GasStationID (integer): Gas Station ID
• ChainID (integer): Chain ID
• Country (text)
• Segment (text): chain segment

Table: products (2 columns)
---------------------------
• ProductID (integer): Product ID
• Description (text): Description

Table: transactions_1k (9 columns)
----------------------------------
• TransactionID (integer): Transaction ID
• Date (date): Date
• Time (text): Time
• CustomerID (integer): Customer ID
• CardID (integer): Card ID
• GasStationID (integer): Gas Station ID
• ProductID (integer): Product ID
• Amount (integer): Amount
• Price (real): Price
  Values: commonsense evidence:

total price = Amount x Price

Table: yearmonth (3 columns)
----------------------------
• CustomerID (integer): Customer ID
• Date (text): Date
• Consumption (real): consumption

##Evidence:
Percentage of LAM customer consumed more than 46.73 = (Total no. of LAM customers who consumed more than 46.73 / Total no. of LAM customers) * 100.

##Role Access Policy (Column-Level):
Role: DataOperator_1
Accessible Columns: customers: ALL COLUMNS; gasstations: ALL COLUMNS; products: ALL COLUMNS; yearmonth: ALL COLUMNS

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 percent of LAM customer consumed more than 46.73?
Evidence: Percentage of LAM customer consumed more than 46.73 = (Total no. of LAM customers who consumed more than 46.73 / Total no. of LAM customers) * 100.
Answer: SELECT CAST(SUM(IIF(T2.Consumption > 46.73, 1, 0)) AS FLOAT) * 100 / COUNT(T1.CustomerID) FROM customers AS T1 INNER JOIN yearmonth AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.Segment = 'LAM'
Permission: allowed (All required columns are permitted)
Gold SQL: SELECT CAST(SUM(IIF(T2.Consumption > 46.73, 1, 0)) AS FLOAT) * 100 / COUNT(T1.CustomerID) FROM customers AS T1 INNER JOIN yearmonth AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.Segment = 'LAM'
##Instruction:
Database: debit_card_specializing
Total Tables: 5
Total Columns: 21

Table Schemas:

Database: debit_card_specializing
Total Tables: 5
Total Columns: 21

Table Schemas:

Table: customers (3 columns)
----------------------------
• CustomerID (integer): identification of the customer
• Segment (text): client segment
• Currency (text): Currency

Table: gasstations (4 columns)
------------------------------
• GasStationID (integer): Gas Station ID
• ChainID (integer): Chain ID
• Country (text)
• Segment (text): chain segment

Table: products (2 columns)
---------------------------
• ProductID (integer): Product ID
• Description (text): Description

Table: transactions_1k (9 columns)
----------------------------------
• TransactionID (integer): Transaction ID
• Date (date): Date
• Time (text): Time
• CustomerID (integer): Customer ID
• CardID (integer): Card ID
• GasStationID (integer): Gas Station ID
• ProductID (integer): Product ID
• Amount (integer): Amount
• Price (real): Price
  Values: commonsense evidence:

total price = Amount x Price

Table: yearmonth (3 columns)
----------------------------
• CustomerID (integer): Customer ID
• Date (text): Date
• Consumption (real): consumption

##Evidence:
N/A

##Role Access Policy (Column-Level):
Role: DataOperator_1
Accessible Columns: customers: ALL COLUMNS; gasstations: ALL COLUMNS; products: ALL COLUMNS; yearmonth: ALL COLUMNS

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: Which country has more 'value for money' gas stations? Please give a total number of 'value for money' gas stations in each country.
Answer: SELECT Country,
       COUNT(*) AS TotalCount,
       CASE WHEN COUNT(*) = (
           SELECT MAX(cnt)
           FROM (
             SELECT COUNT(*) AS cnt
             FROM gasstations
             WHERE Segment = 'Value for money'
             GROUP BY Country
           ) sub
       ) THEN 1 ELSE 0 END AS is_top
FROM gasstations
WHERE Segment = 'Value for money'
GROUP BY Country
ORDER BY TotalCount DESC, Country ASC;
Permission: allowed (All required columns are permitted)
Gold SQL: SELECT Country,
       COUNT(*) AS TotalCount,
       CASE WHEN COUNT(*) = (
           SELECT MAX(cnt)
           FROM (
             SELECT COUNT(*) AS cnt
             FROM gasstations
             WHERE Segment = 'Value for money'
             GROUP BY Country
           ) sub
       ) THEN 1 ELSE 0 END AS is_top
FROM gasstations
WHERE Segment = 'Value for money'
GROUP BY Country
ORDER BY TotalCount DESC, Country ASC;
##Instruction:
Database: debit_card_specializing
Total Tables: 5
Total Columns: 21

Table Schemas:

Database: debit_card_specializing
Total Tables: 5
Total Columns: 21

Table Schemas:

Table: customers (3 columns)
----------------------------
• CustomerID (integer): identification of the customer
• Segment (text): client segment
• Currency (text): Currency

Table: gasstations (4 columns)
------------------------------
• GasStationID (integer): Gas Station ID
• ChainID (integer): Chain ID
• Country (text)
• Segment (text): chain segment

Table: products (2 columns)
---------------------------
• ProductID (integer): Product ID
• Description (text): Description

Table: transactions_1k (9 columns)
----------------------------------
• TransactionID (integer): Transaction ID
• Date (date): Date
• Time (text): Time
• CustomerID (integer): Customer ID
• CardID (integer): Card ID
• GasStationID (integer): Gas Station ID
• ProductID (integer): Product ID
• Amount (integer): Amount
• Price (real): Price
  Values: commonsense evidence:

total price = Amount x Price

Table: yearmonth (3 columns)
----------------------------
• CustomerID (integer): Customer ID
• Date (text): Date
• Consumption (real): consumption

##Evidence:
Percentage of KAM uses Euro = (Total of KAM uses Euro / Total of KAM) * 100%.

##Role Access Policy (Column-Level):
Role: DataOperator_1
Accessible Columns: customers: ALL COLUMNS; gasstations: ALL COLUMNS; products: ALL COLUMNS; yearmonth: ALL COLUMNS

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 percentage of KAM customers pay in euros?
Evidence: Percentage of KAM uses Euro = (Total of KAM uses Euro / Total of KAM) * 100%.
Answer: SELECT CAST(SUM(Currency = 'EUR') AS FLOAT) * 100 / COUNT(CustomerID) FROM customers WHERE Segment = 'KAM'
Permission: allowed (All required columns are permitted)
Gold SQL: SELECT CAST(SUM(Currency = 'EUR') AS FLOAT) * 100 / COUNT(CustomerID) FROM customers WHERE Segment = 'KAM'
##Instruction:
Database: debit_card_specializing
Total Tables: 5
Total Columns: 21

Table Schemas:

Database: debit_card_specializing
Total Tables: 5
Total Columns: 21

Table Schemas:

Table: customers (3 columns)
----------------------------
• CustomerID (integer): identification of the customer
• Segment (text): client segment
• Currency (text): Currency

Table: gasstations (4 columns)
------------------------------
• GasStationID (integer): Gas Station ID
• ChainID (integer): Chain ID
• Country (text)
• Segment (text): chain segment

Table: products (2 columns)
---------------------------
• ProductID (integer): Product ID
• Description (text): Description

Table: transactions_1k (9 columns)
----------------------------------
• TransactionID (integer): Transaction ID
• Date (date): Date
• Time (text): Time
• CustomerID (integer): Customer ID
• CardID (integer): Card ID
• GasStationID (integer): Gas Station ID
• ProductID (integer): Product ID
• Amount (integer): Amount
• Price (real): Price
  Values: commonsense evidence:

total price = Amount x Price

Table: yearmonth (3 columns)
----------------------------
• CustomerID (integer): Customer ID
• Date (text): Date
• Consumption (real): consumption

##Evidence:
February 2012 refers to '201202' in yearmonth.date; The first 4 strings of the Date values in the yearmonth table can represent year; The 5th and 6th string of the date can refer to month.

##Role Access Policy (Column-Level):
Role: DataOperator_1
Accessible Columns: customers: ALL COLUMNS; gasstations: ALL COLUMNS; products: ALL COLUMNS; yearmonth: ALL COLUMNS

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: In February 2012, what percentage of customers consumed more than 528.3?
Evidence: February 2012 refers to '201202' in yearmonth.date; The first 4 strings of the Date values in the yearmonth table can represent year; The 5th and 6th string of the date can refer to month.
Answer: SELECT CAST(SUM(IIF(Consumption > 528.3, 1, 0)) AS FLOAT) * 100 / COUNT(CustomerID)
FROM yearmonth
WHERE Date = '201202';
Permission: allowed (All required columns are permitted)
Gold SQL: SELECT CAST(SUM(IIF(Consumption > 528.3, 1, 0)) AS FLOAT) * 100 / COUNT(CustomerID)
FROM yearmonth
WHERE Date = '201202';