QIAN-ME/bird_schema_data huggingface dataset:
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 cookbook
【Schema】
# Table: Quantity
[
(quantity_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(recipe_id:INTEGER, Examples: [214, 215, 216]),
(ingredient_id:INTEGER, Examples: [1613, 3334, 2222]),
(max_qty:REAL, Examples: [2.0, 0.25, 0.5]),
(min_qty:REAL, Examples: [2.0, 0.25, 0.5]),
(unit:TEXT, Examples: [cup(s), teaspoon(s), 14 oz. can(s)]),
(preparation:TEXT, Examples: [melted, or water, divided]),
(optional:TEXT, Examples: [FALSE, TRUE])
]
# Table: Nutrition
[
(recipe_id:INTEGER, Primary Key, Examples: [214, 215, 216]),
(protein:REAL, Examples: [5.47, 5.7, 4.9]),
(carbo:REAL, Examples: [41.29, 23.75, 26.88]),
(alcohol:REAL, Examples: [0.0, 1.93, 2.7]),
(total_fat:REAL, Examples: [11.53, 1.08, 1.1]),
(sat_fat:REAL, Examples: [2.21, 0.58, 0.06]),
(cholestrl:REAL, Examples: [1.39, 3.48, 3.46]),
(sodium:REAL, Examples: [260.78, 46.17, 41.79]),
(iron:REAL, Examples: [0.81, 0.57, 0.37]),
(vitamin_c:REAL, Examples: [8.89, 13.02, 6.13]),
(vitamin_a:REAL, Examples: [586.2, 2738.24, 1521.1]),
(fiber:REAL, Examples: [0.87, 0.62, 0.34]),
(pcnt_cal_carb:REAL, Examples: [56.8, 67.38, 78.45]),
(pcnt_cal_fat:REAL, Examples: [35.68, 6.89, 7.24]),
(pcnt_cal_prot:REAL, Examples: [7.53, 16.17, 14.3]),
(calories:REAL, Examples: [290.79, 141.01, 137.06])
]
# Table: Recipe
[
(recipe_id:INTEGER, Primary Key, Examples: [214, 215, 216]),
(title:TEXT, Examples: [Raspberry Chiffon Pie]),
(subtitle:TEXT, Examples: [with Banana Cream Whip]),
(servings:INTEGER, Examples: [10, 4, 8]),
(yield_unit:TEXT, Examples: [1 pie, 8 tarts, 2 quarts]),
(prep_min:INTEGER, Examples: [20, 5, 10]),
(cook_min:INTEGER, Examples: [8, 2, 13]),
(stnd_min:INTEGER, Examples: [305, 65, 0]),
(source:TEXT, Examples: [The California Tree Fruit Agreement]),
(intro:TEXT),
(directions:TEXT)
]
# Table: Ingredient
[
(ingredient_id:INTEGER, Primary Key, Examples: [1, 6, 10]),
(category:TEXT, Examples: [dairy, Mexican products, cereals]),
(name:TEXT, Examples: [1% lowfat cottage cheese]),
(plural:TEXT, Examples: [s, #NAME?, es])
]
【Foreign keys】
Quantity.recipe_id=Recipe.recipe_id
Quantity.ingredient_id=Ingredient.ingredient_id
Quantity.recipe_id=Nutrition.recipe_id
Nutrition.recipe_id=Recipe.recipe_id

    【Question】
    What are the names of the ingredients that need to be cook in beef broth? 'cook in beef broth' refers to a preparation

    【Evidence】
    'cook in beef broth' refers to a preparation

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT T1.name FROM Ingredient AS T1 INNER JOIN Quantity AS T2 ON T1.ingredient_id = T2.ingredient_id WHERE T2.preparation = 'cooked in beef broth'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 cookbook
【Schema】
# Table: Quantity
[
(quantity_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(recipe_id:INTEGER, Examples: [214, 215, 216]),
(ingredient_id:INTEGER, Examples: [1613, 3334, 2222]),
(max_qty:REAL, Examples: [2.0, 0.25, 0.5]),
(min_qty:REAL, Examples: [2.0, 0.25, 0.5]),
(unit:TEXT, Examples: [cup(s), teaspoon(s), 14 oz. can(s)]),
(preparation:TEXT, Examples: [melted, or water, divided]),
(optional:TEXT, Examples: [FALSE, TRUE])
]
# Table: Nutrition
[
(recipe_id:INTEGER, Primary Key, Examples: [214, 215, 216]),
(protein:REAL, Examples: [5.47, 5.7, 4.9]),
(carbo:REAL, Examples: [41.29, 23.75, 26.88]),
(alcohol:REAL, Examples: [0.0, 1.93, 2.7]),
(total_fat:REAL, Examples: [11.53, 1.08, 1.1]),
(sat_fat:REAL, Examples: [2.21, 0.58, 0.06]),
(cholestrl:REAL, Examples: [1.39, 3.48, 3.46]),
(sodium:REAL, Examples: [260.78, 46.17, 41.79]),
(iron:REAL, Examples: [0.81, 0.57, 0.37]),
(vitamin_c:REAL, Examples: [8.89, 13.02, 6.13]),
(vitamin_a:REAL, Examples: [586.2, 2738.24, 1521.1]),
(fiber:REAL, Examples: [0.87, 0.62, 0.34]),
(pcnt_cal_carb:REAL, Examples: [56.8, 67.38, 78.45]),
(pcnt_cal_fat:REAL, Examples: [35.68, 6.89, 7.24]),
(pcnt_cal_prot:REAL, Examples: [7.53, 16.17, 14.3]),
(calories:REAL, Examples: [290.79, 141.01, 137.06])
]
# Table: Recipe
[
(recipe_id:INTEGER, Primary Key, Examples: [214, 215, 216]),
(title:TEXT, Examples: [Raspberry Chiffon Pie]),
(subtitle:TEXT, Examples: [with Banana Cream Whip]),
(servings:INTEGER, Examples: [10, 4, 8]),
(yield_unit:TEXT, Examples: [1 pie, 8 tarts, 2 quarts]),
(prep_min:INTEGER, Examples: [20, 5, 10]),
(cook_min:INTEGER, Examples: [8, 2, 13]),
(stnd_min:INTEGER, Examples: [305, 65, 0]),
(source:TEXT, Examples: [The California Tree Fruit Agreement]),
(intro:TEXT),
(directions:TEXT)
]
# Table: Ingredient
[
(ingredient_id:INTEGER, Primary Key, Examples: [1, 6, 10]),
(category:TEXT, Examples: [dairy, Mexican products, cereals]),
(name:TEXT, Examples: [1% lowfat cottage cheese]),
(plural:TEXT, Examples: [s, #NAME?, es])
]
【Foreign keys】
Quantity.recipe_id=Recipe.recipe_id
Quantity.ingredient_id=Ingredient.ingredient_id
Quantity.recipe_id=Nutrition.recipe_id
Nutrition.recipe_id=Recipe.recipe_id

    【Question】
    How many ingredients are there in the recipe that is best in helping your body's natural defence against illness and infection? best in helping your body's natural defence against illness and infection refers to MAX(vitamin_a);

    【Evidence】
    best in helping your body's natural defence against illness and infection refers to MAX(vitamin_a);

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT COUNT(*) FROM Nutrition AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id WHERE T1.vitamin_a > 0
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 cookbook
【Schema】
# Table: Quantity
[
(quantity_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(recipe_id:INTEGER, Examples: [214, 215, 216]),
(ingredient_id:INTEGER, Examples: [1613, 3334, 2222]),
(max_qty:REAL, Examples: [2.0, 0.25, 0.5]),
(min_qty:REAL, Examples: [2.0, 0.25, 0.5]),
(unit:TEXT, Examples: [cup(s), teaspoon(s), 14 oz. can(s)]),
(preparation:TEXT, Examples: [melted, or water, divided]),
(optional:TEXT, Examples: [FALSE, TRUE])
]
# Table: Nutrition
[
(recipe_id:INTEGER, Primary Key, Examples: [214, 215, 216]),
(protein:REAL, Examples: [5.47, 5.7, 4.9]),
(carbo:REAL, Examples: [41.29, 23.75, 26.88]),
(alcohol:REAL, Examples: [0.0, 1.93, 2.7]),
(total_fat:REAL, Examples: [11.53, 1.08, 1.1]),
(sat_fat:REAL, Examples: [2.21, 0.58, 0.06]),
(cholestrl:REAL, Examples: [1.39, 3.48, 3.46]),
(sodium:REAL, Examples: [260.78, 46.17, 41.79]),
(iron:REAL, Examples: [0.81, 0.57, 0.37]),
(vitamin_c:REAL, Examples: [8.89, 13.02, 6.13]),
(vitamin_a:REAL, Examples: [586.2, 2738.24, 1521.1]),
(fiber:REAL, Examples: [0.87, 0.62, 0.34]),
(pcnt_cal_carb:REAL, Examples: [56.8, 67.38, 78.45]),
(pcnt_cal_fat:REAL, Examples: [35.68, 6.89, 7.24]),
(pcnt_cal_prot:REAL, Examples: [7.53, 16.17, 14.3]),
(calories:REAL, Examples: [290.79, 141.01, 137.06])
]
# Table: Recipe
[
(recipe_id:INTEGER, Primary Key, Examples: [214, 215, 216]),
(title:TEXT, Examples: [Raspberry Chiffon Pie]),
(subtitle:TEXT, Examples: [with Banana Cream Whip]),
(servings:INTEGER, Examples: [10, 4, 8]),
(yield_unit:TEXT, Examples: [1 pie, 8 tarts, 2 quarts]),
(prep_min:INTEGER, Examples: [20, 5, 10]),
(cook_min:INTEGER, Examples: [8, 2, 13]),
(stnd_min:INTEGER, Examples: [305, 65, 0]),
(source:TEXT, Examples: [The California Tree Fruit Agreement]),
(intro:TEXT),
(directions:TEXT)
]
# Table: Ingredient
[
(ingredient_id:INTEGER, Primary Key, Examples: [1, 6, 10]),
(category:TEXT, Examples: [dairy, Mexican products, cereals]),
(name:TEXT, Examples: [1% lowfat cottage cheese]),
(plural:TEXT, Examples: [s, #NAME?, es])
]
【Foreign keys】
Quantity.recipe_id=Recipe.recipe_id
Quantity.ingredient_id=Ingredient.ingredient_id
Quantity.recipe_id=Nutrition.recipe_id
Nutrition.recipe_id=Recipe.recipe_id

    【Question】
    What are the names of the top 5 recipes that are best for wound healing? names of the recipes refers to title; best for wound healing refers to MAX(vitamin_c)

    【Evidence】
    names of the recipes refers to title; best for wound healing refers to MAX(vitamin_c)

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT T1.title FROM Recipe AS T1 INNER JOIN Nutrition AS T2 ON T1.recipe_id = T2.recipe_id ORDER BY T2.vitamin_c DESC LIMIT 5
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 cookbook
【Schema】
# Table: Quantity
[
(quantity_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(recipe_id:INTEGER, Examples: [214, 215, 216]),
(ingredient_id:INTEGER, Examples: [1613, 3334, 2222]),
(max_qty:REAL, Examples: [2.0, 0.25, 0.5]),
(min_qty:REAL, Examples: [2.0, 0.25, 0.5]),
(unit:TEXT, Examples: [cup(s), teaspoon(s), 14 oz. can(s)]),
(preparation:TEXT, Examples: [melted, or water, divided]),
(optional:TEXT, Examples: [FALSE, TRUE])
]
# Table: Nutrition
[
(recipe_id:INTEGER, Primary Key, Examples: [214, 215, 216]),
(protein:REAL, Examples: [5.47, 5.7, 4.9]),
(carbo:REAL, Examples: [41.29, 23.75, 26.88]),
(alcohol:REAL, Examples: [0.0, 1.93, 2.7]),
(total_fat:REAL, Examples: [11.53, 1.08, 1.1]),
(sat_fat:REAL, Examples: [2.21, 0.58, 0.06]),
(cholestrl:REAL, Examples: [1.39, 3.48, 3.46]),
(sodium:REAL, Examples: [260.78, 46.17, 41.79]),
(iron:REAL, Examples: [0.81, 0.57, 0.37]),
(vitamin_c:REAL, Examples: [8.89, 13.02, 6.13]),
(vitamin_a:REAL, Examples: [586.2, 2738.24, 1521.1]),
(fiber:REAL, Examples: [0.87, 0.62, 0.34]),
(pcnt_cal_carb:REAL, Examples: [56.8, 67.38, 78.45]),
(pcnt_cal_fat:REAL, Examples: [35.68, 6.89, 7.24]),
(pcnt_cal_prot:REAL, Examples: [7.53, 16.17, 14.3]),
(calories:REAL, Examples: [290.79, 141.01, 137.06])
]
# Table: Recipe
[
(recipe_id:INTEGER, Primary Key, Examples: [214, 215, 216]),
(title:TEXT, Examples: [Raspberry Chiffon Pie]),
(subtitle:TEXT, Examples: [with Banana Cream Whip]),
(servings:INTEGER, Examples: [10, 4, 8]),
(yield_unit:TEXT, Examples: [1 pie, 8 tarts, 2 quarts]),
(prep_min:INTEGER, Examples: [20, 5, 10]),
(cook_min:INTEGER, Examples: [8, 2, 13]),
(stnd_min:INTEGER, Examples: [305, 65, 0]),
(source:TEXT, Examples: [The California Tree Fruit Agreement]),
(intro:TEXT),
(directions:TEXT)
]
# Table: Ingredient
[
(ingredient_id:INTEGER, Primary Key, Examples: [1, 6, 10]),
(category:TEXT, Examples: [dairy, Mexican products, cereals]),
(name:TEXT, Examples: [1% lowfat cottage cheese]),
(plural:TEXT, Examples: [s, #NAME?, es])
]
【Foreign keys】
Quantity.recipe_id=Recipe.recipe_id
Quantity.ingredient_id=Ingredient.ingredient_id
Quantity.recipe_id=Nutrition.recipe_id
Nutrition.recipe_id=Recipe.recipe_id

    【Question】
    Which ingredient appeared the least in recipes? ingredient appeared the least in recipes refers to MIN(ingredient_id)

    【Evidence】
    ingredient appeared the least in recipes refers to MIN(ingredient_id)

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT T1.name FROM Ingredient AS T1 INNER JOIN Quantity AS T2 ON T1.ingredient_id = T2.ingredient_id GROUP BY T2.ingredient_id ORDER BY COUNT(T2.ingredient_id) ASC LIMIT 1
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 cookbook
【Schema】
# Table: Quantity
[
(quantity_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(recipe_id:INTEGER, Examples: [214, 215, 216]),
(ingredient_id:INTEGER, Examples: [1613, 3334, 2222]),
(max_qty:REAL, Examples: [2.0, 0.25, 0.5]),
(min_qty:REAL, Examples: [2.0, 0.25, 0.5]),
(unit:TEXT, Examples: [cup(s), teaspoon(s), 14 oz. can(s)]),
(preparation:TEXT, Examples: [melted, or water, divided]),
(optional:TEXT, Examples: [FALSE, TRUE])
]
# Table: Nutrition
[
(recipe_id:INTEGER, Primary Key, Examples: [214, 215, 216]),
(protein:REAL, Examples: [5.47, 5.7, 4.9]),
(carbo:REAL, Examples: [41.29, 23.75, 26.88]),
(alcohol:REAL, Examples: [0.0, 1.93, 2.7]),
(total_fat:REAL, Examples: [11.53, 1.08, 1.1]),
(sat_fat:REAL, Examples: [2.21, 0.58, 0.06]),
(cholestrl:REAL, Examples: [1.39, 3.48, 3.46]),
(sodium:REAL, Examples: [260.78, 46.17, 41.79]),
(iron:REAL, Examples: [0.81, 0.57, 0.37]),
(vitamin_c:REAL, Examples: [8.89, 13.02, 6.13]),
(vitamin_a:REAL, Examples: [586.2, 2738.24, 1521.1]),
(fiber:REAL, Examples: [0.87, 0.62, 0.34]),
(pcnt_cal_carb:REAL, Examples: [56.8, 67.38, 78.45]),
(pcnt_cal_fat:REAL, Examples: [35.68, 6.89, 7.24]),
(pcnt_cal_prot:REAL, Examples: [7.53, 16.17, 14.3]),
(calories:REAL, Examples: [290.79, 141.01, 137.06])
]
# Table: Recipe
[
(recipe_id:INTEGER, Primary Key, Examples: [214, 215, 216]),
(title:TEXT, Examples: [Raspberry Chiffon Pie]),
(subtitle:TEXT, Examples: [with Banana Cream Whip]),
(servings:INTEGER, Examples: [10, 4, 8]),
(yield_unit:TEXT, Examples: [1 pie, 8 tarts, 2 quarts]),
(prep_min:INTEGER, Examples: [20, 5, 10]),
(cook_min:INTEGER, Examples: [8, 2, 13]),
(stnd_min:INTEGER, Examples: [305, 65, 0]),
(source:TEXT, Examples: [The California Tree Fruit Agreement]),
(intro:TEXT),
(directions:TEXT)
]
# Table: Ingredient
[
(ingredient_id:INTEGER, Primary Key, Examples: [1, 6, 10]),
(category:TEXT, Examples: [dairy, Mexican products, cereals]),
(name:TEXT, Examples: [1% lowfat cottage cheese]),
(plural:TEXT, Examples: [s, #NAME?, es])
]
【Foreign keys】
Quantity.recipe_id=Recipe.recipe_id
Quantity.ingredient_id=Ingredient.ingredient_id
Quantity.recipe_id=Nutrition.recipe_id
Nutrition.recipe_id=Recipe.recipe_id

    【Question】
    How many baking product ingredients are there in the No-Bake Chocolate Cheesecake? baking product is a category; No-Bake Chocolate Cheesecake refers to title;

    【Evidence】
    baking product is a category; No-Bake Chocolate Cheesecake refers to title;

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT COUNT(*) FROM Recipe AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id INNER JOIN Ingredient AS T3 ON T3.ingredient_id = T2.ingredient_id WHERE T3.category = 'baking products' AND T1.title = 'No-Bake Chocolate Cheesecake'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 cookbook
【Schema】
# Table: Quantity
[
(quantity_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(recipe_id:INTEGER, Examples: [214, 215, 216]),
(ingredient_id:INTEGER, Examples: [1613, 3334, 2222]),
(max_qty:REAL, Examples: [2.0, 0.25, 0.5]),
(min_qty:REAL, Examples: [2.0, 0.25, 0.5]),
(unit:TEXT, Examples: [cup(s), teaspoon(s), 14 oz. can(s)]),
(preparation:TEXT, Examples: [melted, or water, divided]),
(optional:TEXT, Examples: [FALSE, TRUE])
]
# Table: Nutrition
[
(recipe_id:INTEGER, Primary Key, Examples: [214, 215, 216]),
(protein:REAL, Examples: [5.47, 5.7, 4.9]),
(carbo:REAL, Examples: [41.29, 23.75, 26.88]),
(alcohol:REAL, Examples: [0.0, 1.93, 2.7]),
(total_fat:REAL, Examples: [11.53, 1.08, 1.1]),
(sat_fat:REAL, Examples: [2.21, 0.58, 0.06]),
(cholestrl:REAL, Examples: [1.39, 3.48, 3.46]),
(sodium:REAL, Examples: [260.78, 46.17, 41.79]),
(iron:REAL, Examples: [0.81, 0.57, 0.37]),
(vitamin_c:REAL, Examples: [8.89, 13.02, 6.13]),
(vitamin_a:REAL, Examples: [586.2, 2738.24, 1521.1]),
(fiber:REAL, Examples: [0.87, 0.62, 0.34]),
(pcnt_cal_carb:REAL, Examples: [56.8, 67.38, 78.45]),
(pcnt_cal_fat:REAL, Examples: [35.68, 6.89, 7.24]),
(pcnt_cal_prot:REAL, Examples: [7.53, 16.17, 14.3]),
(calories:REAL, Examples: [290.79, 141.01, 137.06])
]
# Table: Recipe
[
(recipe_id:INTEGER, Primary Key, Examples: [214, 215, 216]),
(title:TEXT, Examples: [Raspberry Chiffon Pie]),
(subtitle:TEXT, Examples: [with Banana Cream Whip]),
(servings:INTEGER, Examples: [10, 4, 8]),
(yield_unit:TEXT, Examples: [1 pie, 8 tarts, 2 quarts]),
(prep_min:INTEGER, Examples: [20, 5, 10]),
(cook_min:INTEGER, Examples: [8, 2, 13]),
(stnd_min:INTEGER, Examples: [305, 65, 0]),
(source:TEXT, Examples: [The California Tree Fruit Agreement]),
(intro:TEXT),
(directions:TEXT)
]
# Table: Ingredient
[
(ingredient_id:INTEGER, Primary Key, Examples: [1, 6, 10]),
(category:TEXT, Examples: [dairy, Mexican products, cereals]),
(name:TEXT, Examples: [1% lowfat cottage cheese]),
(plural:TEXT, Examples: [s, #NAME?, es])
]
【Foreign keys】
Quantity.recipe_id=Recipe.recipe_id
Quantity.ingredient_id=Ingredient.ingredient_id
Quantity.recipe_id=Nutrition.recipe_id
Nutrition.recipe_id=Recipe.recipe_id

    【Question】
    List all the ingredients for Strawberry Sorbet. Strawberry Sorbet refers to title

    【Evidence】
    Strawberry Sorbet refers to title

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT T3.name FROM Recipe AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id INNER JOIN Ingredient AS T3 ON T3.ingredient_id = T2.ingredient_id WHERE T1.title = 'Strawberry Sorbet'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 cookbook
【Schema】
# Table: Quantity
[
(quantity_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(recipe_id:INTEGER, Examples: [214, 215, 216]),
(ingredient_id:INTEGER, Examples: [1613, 3334, 2222]),
(max_qty:REAL, Examples: [2.0, 0.25, 0.5]),
(min_qty:REAL, Examples: [2.0, 0.25, 0.5]),
(unit:TEXT, Examples: [cup(s), teaspoon(s), 14 oz. can(s)]),
(preparation:TEXT, Examples: [melted, or water, divided]),
(optional:TEXT, Examples: [FALSE, TRUE])
]
# Table: Nutrition
[
(recipe_id:INTEGER, Primary Key, Examples: [214, 215, 216]),
(protein:REAL, Examples: [5.47, 5.7, 4.9]),
(carbo:REAL, Examples: [41.29, 23.75, 26.88]),
(alcohol:REAL, Examples: [0.0, 1.93, 2.7]),
(total_fat:REAL, Examples: [11.53, 1.08, 1.1]),
(sat_fat:REAL, Examples: [2.21, 0.58, 0.06]),
(cholestrl:REAL, Examples: [1.39, 3.48, 3.46]),
(sodium:REAL, Examples: [260.78, 46.17, 41.79]),
(iron:REAL, Examples: [0.81, 0.57, 0.37]),
(vitamin_c:REAL, Examples: [8.89, 13.02, 6.13]),
(vitamin_a:REAL, Examples: [586.2, 2738.24, 1521.1]),
(fiber:REAL, Examples: [0.87, 0.62, 0.34]),
(pcnt_cal_carb:REAL, Examples: [56.8, 67.38, 78.45]),
(pcnt_cal_fat:REAL, Examples: [35.68, 6.89, 7.24]),
(pcnt_cal_prot:REAL, Examples: [7.53, 16.17, 14.3]),
(calories:REAL, Examples: [290.79, 141.01, 137.06])
]
# Table: Recipe
[
(recipe_id:INTEGER, Primary Key, Examples: [214, 215, 216]),
(title:TEXT, Examples: [Raspberry Chiffon Pie]),
(subtitle:TEXT, Examples: [with Banana Cream Whip]),
(servings:INTEGER, Examples: [10, 4, 8]),
(yield_unit:TEXT, Examples: [1 pie, 8 tarts, 2 quarts]),
(prep_min:INTEGER, Examples: [20, 5, 10]),
(cook_min:INTEGER, Examples: [8, 2, 13]),
(stnd_min:INTEGER, Examples: [305, 65, 0]),
(source:TEXT, Examples: [The California Tree Fruit Agreement]),
(intro:TEXT),
(directions:TEXT)
]
# Table: Ingredient
[
(ingredient_id:INTEGER, Primary Key, Examples: [1, 6, 10]),
(category:TEXT, Examples: [dairy, Mexican products, cereals]),
(name:TEXT, Examples: [1% lowfat cottage cheese]),
(plural:TEXT, Examples: [s, #NAME?, es])
]
【Foreign keys】
Quantity.recipe_id=Recipe.recipe_id
Quantity.ingredient_id=Ingredient.ingredient_id
Quantity.recipe_id=Nutrition.recipe_id
Nutrition.recipe_id=Recipe.recipe_id

    【Question】
    What are the optional ingredients for Warm Chinese Chicken Salad? optional refers to optional = 'TRUE'; Warm Chinese Chicken Salad refers to title

    【Evidence】
    optional refers to optional = 'TRUE'; Warm Chinese Chicken Salad refers to title

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT T3.name FROM Recipe AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id INNER JOIN Ingredient AS T3 ON T3.ingredient_id = T2.ingredient_id WHERE T1.title = 'Warm Chinese Chicken Salad' AND T2.optional = 'TRUE'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 cookbook
【Schema】
# Table: Quantity
[
(quantity_id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(recipe_id:INTEGER, Examples: [214, 215, 216]),
(ingredient_id:INTEGER, Examples: [1613, 3334, 2222]),
(max_qty:REAL, Examples: [2.0, 0.25, 0.5]),
(min_qty:REAL, Examples: [2.0, 0.25, 0.5]),
(unit:TEXT, Examples: [cup(s), teaspoon(s), 14 oz. can(s)]),
(preparation:TEXT, Examples: [melted, or water, divided]),
(optional:TEXT, Examples: [FALSE, TRUE])
]
# Table: Nutrition
[
(recipe_id:INTEGER, Primary Key, Examples: [214, 215, 216]),
(protein:REAL, Examples: [5.47, 5.7, 4.9]),
(carbo:REAL, Examples: [41.29, 23.75, 26.88]),
(alcohol:REAL, Examples: [0.0, 1.93, 2.7]),
(total_fat:REAL, Examples: [11.53, 1.08, 1.1]),
(sat_fat:REAL, Examples: [2.21, 0.58, 0.06]),
(cholestrl:REAL, Examples: [1.39, 3.48, 3.46]),
(sodium:REAL, Examples: [260.78, 46.17, 41.79]),
(iron:REAL, Examples: [0.81, 0.57, 0.37]),
(vitamin_c:REAL, Examples: [8.89, 13.02, 6.13]),
(vitamin_a:REAL, Examples: [586.2, 2738.24, 1521.1]),
(fiber:REAL, Examples: [0.87, 0.62, 0.34]),
(pcnt_cal_carb:REAL, Examples: [56.8, 67.38, 78.45]),
(pcnt_cal_fat:REAL, Examples: [35.68, 6.89, 7.24]),
(pcnt_cal_prot:REAL, Examples: [7.53, 16.17, 14.3]),
(calories:REAL, Examples: [290.79, 141.01, 137.06])
]
# Table: Recipe
[
(recipe_id:INTEGER, Primary Key, Examples: [214, 215, 216]),
(title:TEXT, Examples: [Raspberry Chiffon Pie]),
(subtitle:TEXT, Examples: [with Banana Cream Whip]),
(servings:INTEGER, Examples: [10, 4, 8]),
(yield_unit:TEXT, Examples: [1 pie, 8 tarts, 2 quarts]),
(prep_min:INTEGER, Examples: [20, 5, 10]),
(cook_min:INTEGER, Examples: [8, 2, 13]),
(stnd_min:INTEGER, Examples: [305, 65, 0]),
(source:TEXT, Examples: [The California Tree Fruit Agreement]),
(intro:TEXT),
(directions:TEXT)
]
# Table: Ingredient
[
(ingredient_id:INTEGER, Primary Key, Examples: [1, 6, 10]),
(category:TEXT, Examples: [dairy, Mexican products, cereals]),
(name:TEXT, Examples: [1% lowfat cottage cheese]),
(plural:TEXT, Examples: [s, #NAME?, es])
]
【Foreign keys】
Quantity.recipe_id=Recipe.recipe_id
Quantity.ingredient_id=Ingredient.ingredient_id
Quantity.recipe_id=Nutrition.recipe_id
Nutrition.recipe_id=Recipe.recipe_id

    【Question】
    Among the recipes with alcohol content over 10, which recipe takes the longest to prepare? with alcohol content over 10 refers to alcohol > 10; takes the longest to prepare refers to MAX(prep_min)

    【Evidence】
    with alcohol content over 10 refers to alcohol > 10; takes the longest to prepare refers to MAX(prep_min)

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT T1.title FROM Recipe AS T1 INNER JOIN Nutrition AS T2 ON T1.recipe_id = T2.recipe_id WHERE T2.alcohol > 10 ORDER BY T1.prep_min DESC LIMIT 1