sharkiefff/RBAC-Text2SQL-Benchmark huggingface dataset:
##Instruction:
Database: products_gen_characteristics
Total Tables: 6
Total Columns: 23

Table Schemas:

products_gen_characteristics contains tables such as Ref_Characteristic_Types, Ref_Colors, Ref_Product_Categories, Characteristics, Products, Product_Characteristics.
Table Ref_Characteristic_Types has columns such as characteristic_type_code, characteristic_type_description.
characteristic_type_code is the primary key.
Table Ref_Colors has columns such as color_code, color_description.
color_code is the primary key.
Table Ref_Product_Categories has columns such as product_category_code, product_category_description, unit_of_measure.
product_category_code is the primary key.
Table Characteristics has columns such as characteristic_id, characteristic_type_code, characteristic_data_type, characteristic_name, other_characteristic_details.
characteristic_id is the primary key.
Table Products has columns such as product_id, color_code, product_category_code, product_name, typical_buying_price, typical_selling_price, product_description, other_product_details.
product_id is the primary key.
Table Product_Characteristics has columns such as product_id, characteristic_id, product_characteristic_value.
The characteristic_type_code of Characteristics is the foreign key of characteristic_type_code of Ref_Characteristic_Types.
The color_code of Products is the foreign key of color_code of Ref_Colors.
The product_category_code of Products is the foreign key of product_category_code of Ref_Product_Categories.
The product_id of Product_Characteristics is the foreign key of product_id of Products.
The characteristic_id of Product_Characteristics is the foreign key of characteristic_id of Characteristics.

##Role Access Policy (Column-Level):
Role: ProductResearcher
Accessible Columns: Ref_Characteristic_Types: characteristic_type_code, characteristic_type_description; Ref_Colors: color_code, color_description; Ref_Product_Categories: product_category_code, product_category_description, unit_of_measure; Characteristics: characteristic_id, characteristic_type_code, characteristic_data_type, characteristic_name, other_characteristic_details; Products: product_id, color_code, product_category_code, product_name, product_description, other_product_details; Product_Characteristics: 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: Return the names and typical buying and selling prices for products that have 'yellow' as their color description.
Answer: Sorry, I cannot answer.
Permission: denied (Missing column permissions: products: typical_buying_price, typical_selling_price)
Gold SQL: SELECT t1.product_name ,  t1.typical_buying_price ,  t1.typical_selling_price FROM products AS t1 JOIN ref_colors AS t2 ON t1.color_code  =  t2.color_code WHERE t2.color_description  =  "yellow"
##Instruction:
Database: products_gen_characteristics
Total Tables: 6
Total Columns: 23

Table Schemas:

products_gen_characteristics contains tables such as Ref_Characteristic_Types, Ref_Colors, Ref_Product_Categories, Characteristics, Products, Product_Characteristics.
Table Ref_Characteristic_Types has columns such as characteristic_type_code, characteristic_type_description.
characteristic_type_code is the primary key.
Table Ref_Colors has columns such as color_code, color_description.
color_code is the primary key.
Table Ref_Product_Categories has columns such as product_category_code, product_category_description, unit_of_measure.
product_category_code is the primary key.
Table Characteristics has columns such as characteristic_id, characteristic_type_code, characteristic_data_type, characteristic_name, other_characteristic_details.
characteristic_id is the primary key.
Table Products has columns such as product_id, color_code, product_category_code, product_name, typical_buying_price, typical_selling_price, product_description, other_product_details.
product_id is the primary key.
Table Product_Characteristics has columns such as product_id, characteristic_id, product_characteristic_value.
The characteristic_type_code of Characteristics is the foreign key of characteristic_type_code of Ref_Characteristic_Types.
The color_code of Products is the foreign key of color_code of Ref_Colors.
The product_category_code of Products is the foreign key of product_category_code of Ref_Product_Categories.
The product_id of Product_Characteristics is the foreign key of product_id of Products.
The characteristic_id of Product_Characteristics is the foreign key of characteristic_id of Characteristics.

##Role Access Policy (Column-Level):
Role: ProductResearcher
Accessible Columns: Ref_Characteristic_Types: characteristic_type_code, characteristic_type_description; Ref_Colors: color_code, color_description; Ref_Product_Categories: product_category_code, product_category_description, unit_of_measure; Characteristics: characteristic_id, characteristic_type_code, characteristic_data_type, characteristic_name, other_characteristic_details; Products: product_id, color_code, product_category_code, product_name, product_description, other_product_details; Product_Characteristics: 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 characteristics does the product named "sesame" have?
Answer: SELECT count(*) FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id  =  t2.product_id WHERE t1.product_name  =  "sesame"
Permission: allowed (All required columns are permitted)
Gold SQL: SELECT count(*) FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id  =  t2.product_id WHERE t1.product_name  =  "sesame"
##Instruction:
Database: products_gen_characteristics
Total Tables: 6
Total Columns: 23

Table Schemas:

products_gen_characteristics contains tables such as Ref_Characteristic_Types, Ref_Colors, Ref_Product_Categories, Characteristics, Products, Product_Characteristics.
Table Ref_Characteristic_Types has columns such as characteristic_type_code, characteristic_type_description.
characteristic_type_code is the primary key.
Table Ref_Colors has columns such as color_code, color_description.
color_code is the primary key.
Table Ref_Product_Categories has columns such as product_category_code, product_category_description, unit_of_measure.
product_category_code is the primary key.
Table Characteristics has columns such as characteristic_id, characteristic_type_code, characteristic_data_type, characteristic_name, other_characteristic_details.
characteristic_id is the primary key.
Table Products has columns such as product_id, color_code, product_category_code, product_name, typical_buying_price, typical_selling_price, product_description, other_product_details.
product_id is the primary key.
Table Product_Characteristics has columns such as product_id, characteristic_id, product_characteristic_value.
The characteristic_type_code of Characteristics is the foreign key of characteristic_type_code of Ref_Characteristic_Types.
The color_code of Products is the foreign key of color_code of Ref_Colors.
The product_category_code of Products is the foreign key of product_category_code of Ref_Product_Categories.
The product_id of Product_Characteristics is the foreign key of product_id of Products.
The characteristic_id of Product_Characteristics is the foreign key of characteristic_id of Characteristics.

##Role Access Policy (Column-Level):
Role: ProductResearcher
Accessible Columns: Ref_Characteristic_Types: characteristic_type_code, characteristic_type_description; Ref_Colors: color_code, color_description; Ref_Product_Categories: product_category_code, product_category_description, unit_of_measure; Characteristics: characteristic_id, characteristic_type_code, characteristic_data_type, characteristic_name, other_characteristic_details; Products: product_id, color_code, product_category_code, product_name, product_description, other_product_details; Product_Characteristics: 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: Count the number of characteristics the product 'sesame' has.
Answer: SELECT count(*) FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id  =  t2.product_id WHERE t1.product_name  =  "sesame"
Permission: allowed (All required columns are permitted)
Gold SQL: SELECT count(*) FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id  =  t2.product_id WHERE t1.product_name  =  "sesame"
##Instruction:
Database: products_gen_characteristics
Total Tables: 6
Total Columns: 23

Table Schemas:

products_gen_characteristics contains tables such as Ref_Characteristic_Types, Ref_Colors, Ref_Product_Categories, Characteristics, Products, Product_Characteristics.
Table Ref_Characteristic_Types has columns such as characteristic_type_code, characteristic_type_description.
characteristic_type_code is the primary key.
Table Ref_Colors has columns such as color_code, color_description.
color_code is the primary key.
Table Ref_Product_Categories has columns such as product_category_code, product_category_description, unit_of_measure.
product_category_code is the primary key.
Table Characteristics has columns such as characteristic_id, characteristic_type_code, characteristic_data_type, characteristic_name, other_characteristic_details.
characteristic_id is the primary key.
Table Products has columns such as product_id, color_code, product_category_code, product_name, typical_buying_price, typical_selling_price, product_description, other_product_details.
product_id is the primary key.
Table Product_Characteristics has columns such as product_id, characteristic_id, product_characteristic_value.
The characteristic_type_code of Characteristics is the foreign key of characteristic_type_code of Ref_Characteristic_Types.
The color_code of Products is the foreign key of color_code of Ref_Colors.
The product_category_code of Products is the foreign key of product_category_code of Ref_Product_Categories.
The product_id of Product_Characteristics is the foreign key of product_id of Products.
The characteristic_id of Product_Characteristics is the foreign key of characteristic_id of Characteristics.

##Role Access Policy (Column-Level):
Role: ProductResearcher
Accessible Columns: Ref_Characteristic_Types: characteristic_type_code, characteristic_type_description; Ref_Colors: color_code, color_description; Ref_Product_Categories: product_category_code, product_category_description, unit_of_measure; Characteristics: characteristic_id, characteristic_type_code, characteristic_data_type, characteristic_name, other_characteristic_details; Products: product_id, color_code, product_category_code, product_name, product_description, other_product_details; Product_Characteristics: 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 distinct characteristic names does the product "cumin" have?
Answer: SELECT count(DISTINCT t3.characteristic_name) FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id  =  t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id  =  t3.characteristic_id WHERE t1.product_name  =  "sesame"
Permission: allowed (All required columns are permitted)
Gold SQL: SELECT count(DISTINCT t3.characteristic_name) FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id  =  t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id  =  t3.characteristic_id WHERE t1.product_name  =  "sesame"
##Instruction:
Database: products_gen_characteristics
Total Tables: 6
Total Columns: 23

Table Schemas:

products_gen_characteristics contains tables such as Ref_Characteristic_Types, Ref_Colors, Ref_Product_Categories, Characteristics, Products, Product_Characteristics.
Table Ref_Characteristic_Types has columns such as characteristic_type_code, characteristic_type_description.
characteristic_type_code is the primary key.
Table Ref_Colors has columns such as color_code, color_description.
color_code is the primary key.
Table Ref_Product_Categories has columns such as product_category_code, product_category_description, unit_of_measure.
product_category_code is the primary key.
Table Characteristics has columns such as characteristic_id, characteristic_type_code, characteristic_data_type, characteristic_name, other_characteristic_details.
characteristic_id is the primary key.
Table Products has columns such as product_id, color_code, product_category_code, product_name, typical_buying_price, typical_selling_price, product_description, other_product_details.
product_id is the primary key.
Table Product_Characteristics has columns such as product_id, characteristic_id, product_characteristic_value.
The characteristic_type_code of Characteristics is the foreign key of characteristic_type_code of Ref_Characteristic_Types.
The color_code of Products is the foreign key of color_code of Ref_Colors.
The product_category_code of Products is the foreign key of product_category_code of Ref_Product_Categories.
The product_id of Product_Characteristics is the foreign key of product_id of Products.
The characteristic_id of Product_Characteristics is the foreign key of characteristic_id of Characteristics.

##Role Access Policy (Column-Level):
Role: ProductResearcher
Accessible Columns: Ref_Characteristic_Types: characteristic_type_code, characteristic_type_description; Ref_Colors: color_code, color_description; Ref_Product_Categories: product_category_code, product_category_description, unit_of_measure; Characteristics: characteristic_id, characteristic_type_code, characteristic_data_type, characteristic_name, other_characteristic_details; Products: product_id, color_code, product_category_code, product_name, product_description, other_product_details; Product_Characteristics: 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: Count the number of different characteristic names the product 'cumin' has.
Answer: SELECT count(DISTINCT t3.characteristic_name) FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id  =  t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id  =  t3.characteristic_id WHERE t1.product_name  =  "sesame"
Permission: allowed (All required columns are permitted)
Gold SQL: SELECT count(DISTINCT t3.characteristic_name) FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id  =  t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id  =  t3.characteristic_id WHERE t1.product_name  =  "sesame"
##Instruction:
Database: products_gen_characteristics
Total Tables: 6
Total Columns: 23

Table Schemas:

products_gen_characteristics contains tables such as Ref_Characteristic_Types, Ref_Colors, Ref_Product_Categories, Characteristics, Products, Product_Characteristics.
Table Ref_Characteristic_Types has columns such as characteristic_type_code, characteristic_type_description.
characteristic_type_code is the primary key.
Table Ref_Colors has columns such as color_code, color_description.
color_code is the primary key.
Table Ref_Product_Categories has columns such as product_category_code, product_category_description, unit_of_measure.
product_category_code is the primary key.
Table Characteristics has columns such as characteristic_id, characteristic_type_code, characteristic_data_type, characteristic_name, other_characteristic_details.
characteristic_id is the primary key.
Table Products has columns such as product_id, color_code, product_category_code, product_name, typical_buying_price, typical_selling_price, product_description, other_product_details.
product_id is the primary key.
Table Product_Characteristics has columns such as product_id, characteristic_id, product_characteristic_value.
The characteristic_type_code of Characteristics is the foreign key of characteristic_type_code of Ref_Characteristic_Types.
The color_code of Products is the foreign key of color_code of Ref_Colors.
The product_category_code of Products is the foreign key of product_category_code of Ref_Product_Categories.
The product_id of Product_Characteristics is the foreign key of product_id of Products.
The characteristic_id of Product_Characteristics is the foreign key of characteristic_id of Characteristics.

##Role Access Policy (Column-Level):
Role: ProductResearcher
Accessible Columns: Ref_Characteristic_Types: characteristic_type_code, characteristic_type_description; Ref_Colors: color_code, color_description; Ref_Product_Categories: product_category_code, product_category_description, unit_of_measure; Characteristics: characteristic_id, characteristic_type_code, characteristic_data_type, characteristic_name, other_characteristic_details; Products: product_id, color_code, product_category_code, product_name, product_description, other_product_details; Product_Characteristics: 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 are all the characteristic names of product "sesame"?
Answer: SELECT t3.characteristic_name FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id  =  t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id  =  t3.characteristic_id WHERE t1.product_name  =  "sesame"
Permission: allowed (All required columns are permitted)
Gold SQL: SELECT t3.characteristic_name FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id  =  t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id  =  t3.characteristic_id WHERE t1.product_name  =  "sesame"
##Instruction:
Database: products_gen_characteristics
Total Tables: 6
Total Columns: 23

Table Schemas:

products_gen_characteristics contains tables such as Ref_Characteristic_Types, Ref_Colors, Ref_Product_Categories, Characteristics, Products, Product_Characteristics.
Table Ref_Characteristic_Types has columns such as characteristic_type_code, characteristic_type_description.
characteristic_type_code is the primary key.
Table Ref_Colors has columns such as color_code, color_description.
color_code is the primary key.
Table Ref_Product_Categories has columns such as product_category_code, product_category_description, unit_of_measure.
product_category_code is the primary key.
Table Characteristics has columns such as characteristic_id, characteristic_type_code, characteristic_data_type, characteristic_name, other_characteristic_details.
characteristic_id is the primary key.
Table Products has columns such as product_id, color_code, product_category_code, product_name, typical_buying_price, typical_selling_price, product_description, other_product_details.
product_id is the primary key.
Table Product_Characteristics has columns such as product_id, characteristic_id, product_characteristic_value.
The characteristic_type_code of Characteristics is the foreign key of characteristic_type_code of Ref_Characteristic_Types.
The color_code of Products is the foreign key of color_code of Ref_Colors.
The product_category_code of Products is the foreign key of product_category_code of Ref_Product_Categories.
The product_id of Product_Characteristics is the foreign key of product_id of Products.
The characteristic_id of Product_Characteristics is the foreign key of characteristic_id of Characteristics.

##Role Access Policy (Column-Level):
Role: ProductResearcher
Accessible Columns: Ref_Characteristic_Types: characteristic_type_code, characteristic_type_description; Ref_Colors: color_code, color_description; Ref_Product_Categories: product_category_code, product_category_description, unit_of_measure; Characteristics: characteristic_id, characteristic_type_code, characteristic_data_type, characteristic_name, other_characteristic_details; Products: product_id, color_code, product_category_code, product_name, product_description, other_product_details; Product_Characteristics: 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: Return the characteristic names of the 'sesame' product.
Answer: SELECT t3.characteristic_name FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id  =  t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id  =  t3.characteristic_id WHERE t1.product_name  =  "sesame"
Permission: allowed (All required columns are permitted)
Gold SQL: SELECT t3.characteristic_name FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id  =  t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id  =  t3.characteristic_id WHERE t1.product_name  =  "sesame"