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】 superhero
【Schema】
# Table: hero_power
[
(hero_id:INTEGER, Examples: [1, 2, 3]),
(power_id:INTEGER, Examples: [1, 18, 26])
]
# Table: colour
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(colour:TEXT, Examples: [No Colour, Amber, Auburn])
]
# Table: superpower
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(power_name:TEXT, Examples: [Agility, Accelerated Healing, Lantern Power Ring])
]
# Table: publisher
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(publisher_name:TEXT, Examples: [ABC Studios, Dark Horse Comics, DC Comics])
]
# Table: superhero
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(superhero_name:TEXT, Examples: [3-D Man, A-Bomb, Abe Sapien]),
(full_name:TEXT, Examples: [Charles Chandler]),
(gender_id:INTEGER, Examples: [1, 2, 3]),
(eye_colour_id:INTEGER, Examples: [9, 33, 7]),
(hair_colour_id:INTEGER, Examples: [13, 1, 4]),
(skin_colour_id:INTEGER, Examples: [1, 7, 23]),
(race_id:INTEGER, Examples: [1, 24, 33]),
(publisher_id:INTEGER, Examples: [13, 3, 4]),
(alignment_id:INTEGER, Examples: [1, 2, 3]),
(height_cm:INTEGER, Examples: [188, 203, 191]),
(weight_kg:INTEGER, Examples: [90, 441, 65])
]
# Table: attribute
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(attribute_name:TEXT, Examples: [Intelligence, Strength, Speed])
]
# Table: hero_attribute
[
(hero_id:INTEGER, Examples: [1, 2, 3]),
(attribute_id:INTEGER, Examples: [1, 2, 3]),
(attribute_value:INTEGER, Examples: [80, 75, 95])
]
# Table: alignment
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(alignment:TEXT, Examples: [Good, Bad, Neutral])
]
# Table: race
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(race:TEXT, Examples: [-, Alien, Alpha])
]
# Table: gender
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(gender:TEXT, Examples: [Male, Female, N/A])
]
【Foreign keys】
hero_power.hero_id=superhero.id
hero_power.power_id=superpower.id
superhero.alignment_id=alignment.id
superhero.eye_colour_id=colour.id
superhero.gender_id=gender.id
superhero.hair_colour_id=colour.id
superhero.publisher_id=publisher.id
superhero.race_id=race.id
superhero.skin_colour_id=colour.id
hero_attribute.attribute_id=attribute.id
hero_attribute.hero_id=superhero.id

    【Question】
    What are the race and alignment of Cameron Hicks? Cameron Hicks refers to superhero_name = 'Cameron Hicks';

    【Evidence】
    Cameron Hicks refers to superhero_name = 'Cameron Hicks';

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

SQL: SELECT T2.race, T3.alignment FROM superhero AS T1 INNER JOIN race AS T2 ON T1.race_id = T2.id INNER JOIN alignment AS T3 ON T1.alignment_id = T3.id WHERE T1.superhero_name = 'Cameron Hicks'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 superhero
【Schema】
# Table: hero_power
[
(hero_id:INTEGER, Examples: [1, 2, 3]),
(power_id:INTEGER, Examples: [1, 18, 26])
]
# Table: colour
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(colour:TEXT, Examples: [No Colour, Amber, Auburn])
]
# Table: superpower
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(power_name:TEXT, Examples: [Agility, Accelerated Healing, Lantern Power Ring])
]
# Table: publisher
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(publisher_name:TEXT, Examples: [ABC Studios, Dark Horse Comics, DC Comics])
]
# Table: superhero
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(superhero_name:TEXT, Examples: [3-D Man, A-Bomb, Abe Sapien]),
(full_name:TEXT, Examples: [Charles Chandler]),
(gender_id:INTEGER, Examples: [1, 2, 3]),
(eye_colour_id:INTEGER, Examples: [9, 33, 7]),
(hair_colour_id:INTEGER, Examples: [13, 1, 4]),
(skin_colour_id:INTEGER, Examples: [1, 7, 23]),
(race_id:INTEGER, Examples: [1, 24, 33]),
(publisher_id:INTEGER, Examples: [13, 3, 4]),
(alignment_id:INTEGER, Examples: [1, 2, 3]),
(height_cm:INTEGER, Examples: [188, 203, 191]),
(weight_kg:INTEGER, Examples: [90, 441, 65])
]
# Table: attribute
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(attribute_name:TEXT, Examples: [Intelligence, Strength, Speed])
]
# Table: hero_attribute
[
(hero_id:INTEGER, Examples: [1, 2, 3]),
(attribute_id:INTEGER, Examples: [1, 2, 3]),
(attribute_value:INTEGER, Examples: [80, 75, 95])
]
# Table: alignment
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(alignment:TEXT, Examples: [Good, Bad, Neutral])
]
# Table: race
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(race:TEXT, Examples: [-, Alien, Alpha])
]
# Table: gender
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(gender:TEXT, Examples: [Male, Female, N/A])
]
【Foreign keys】
hero_power.hero_id=superhero.id
hero_power.power_id=superpower.id
superhero.alignment_id=alignment.id
superhero.eye_colour_id=colour.id
superhero.gender_id=gender.id
superhero.hair_colour_id=colour.id
superhero.publisher_id=publisher.id
superhero.race_id=race.id
superhero.skin_colour_id=colour.id
hero_attribute.attribute_id=attribute.id
hero_attribute.hero_id=superhero.id

    【Question】
    Find the average weight of the heroes who are aliens. average = AVG(weight_kg); aliens refers to race = 'Alien';

    【Evidence】
    average = AVG(weight_kg); aliens refers to race = 'Alien';

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

SQL: SELECT CAST(SUM(T1.weight_kg) AS REAL) / COUNT(T1.id) FROM superhero AS T1 INNER JOIN race AS T2 ON T1.race_id = T2.id WHERE T2.race = 'Alien'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 superhero
【Schema】
# Table: hero_power
[
(hero_id:INTEGER, Examples: [1, 2, 3]),
(power_id:INTEGER, Examples: [1, 18, 26])
]
# Table: colour
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(colour:TEXT, Examples: [No Colour, Amber, Auburn])
]
# Table: superpower
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(power_name:TEXT, Examples: [Agility, Accelerated Healing, Lantern Power Ring])
]
# Table: publisher
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(publisher_name:TEXT, Examples: [ABC Studios, Dark Horse Comics, DC Comics])
]
# Table: superhero
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(superhero_name:TEXT, Examples: [3-D Man, A-Bomb, Abe Sapien]),
(full_name:TEXT, Examples: [Charles Chandler]),
(gender_id:INTEGER, Examples: [1, 2, 3]),
(eye_colour_id:INTEGER, Examples: [9, 33, 7]),
(hair_colour_id:INTEGER, Examples: [13, 1, 4]),
(skin_colour_id:INTEGER, Examples: [1, 7, 23]),
(race_id:INTEGER, Examples: [1, 24, 33]),
(publisher_id:INTEGER, Examples: [13, 3, 4]),
(alignment_id:INTEGER, Examples: [1, 2, 3]),
(height_cm:INTEGER, Examples: [188, 203, 191]),
(weight_kg:INTEGER, Examples: [90, 441, 65])
]
# Table: attribute
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(attribute_name:TEXT, Examples: [Intelligence, Strength, Speed])
]
# Table: hero_attribute
[
(hero_id:INTEGER, Examples: [1, 2, 3]),
(attribute_id:INTEGER, Examples: [1, 2, 3]),
(attribute_value:INTEGER, Examples: [80, 75, 95])
]
# Table: alignment
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(alignment:TEXT, Examples: [Good, Bad, Neutral])
]
# Table: race
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(race:TEXT, Examples: [-, Alien, Alpha])
]
# Table: gender
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(gender:TEXT, Examples: [Male, Female, N/A])
]
【Foreign keys】
hero_power.hero_id=superhero.id
hero_power.power_id=superpower.id
superhero.alignment_id=alignment.id
superhero.eye_colour_id=colour.id
superhero.gender_id=gender.id
superhero.hair_colour_id=colour.id
superhero.publisher_id=publisher.id
superhero.race_id=race.id
superhero.skin_colour_id=colour.id
hero_attribute.attribute_id=attribute.id
hero_attribute.hero_id=superhero.id

    【Question】
    Calculate the difference between Emil Blonsky's weight and Charles Chandler's weight. difference = SUBTRACT(SUM(weight_kg WHERE full_name = 'Emil Blonsky'), SUM(weight_kg WHERE full_name = 'Charles Chandler')); Emil Blonsky is the full name of superhero; Charles Chandler is the full name of superhero;

    【Evidence】
    difference = SUBTRACT(SUM(weight_kg WHERE full_name = 'Emil Blonsky'), SUM(weight_kg WHERE full_name = 'Charles Chandler')); Emil Blonsky is the full name of superhero; Charles Chandler is the full name of superhero;

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

SQL: SELECT ( SELECT weight_kg FROM superhero WHERE full_name LIKE 'Emil Blonsky' ) - ( SELECT weight_kg FROM superhero WHERE full_name LIKE 'Charles Chandler' ) AS CALCULATE
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 superhero
【Schema】
# Table: hero_power
[
(hero_id:INTEGER, Examples: [1, 2, 3]),
(power_id:INTEGER, Examples: [1, 18, 26])
]
# Table: colour
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(colour:TEXT, Examples: [No Colour, Amber, Auburn])
]
# Table: superpower
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(power_name:TEXT, Examples: [Agility, Accelerated Healing, Lantern Power Ring])
]
# Table: publisher
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(publisher_name:TEXT, Examples: [ABC Studios, Dark Horse Comics, DC Comics])
]
# Table: superhero
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(superhero_name:TEXT, Examples: [3-D Man, A-Bomb, Abe Sapien]),
(full_name:TEXT, Examples: [Charles Chandler]),
(gender_id:INTEGER, Examples: [1, 2, 3]),
(eye_colour_id:INTEGER, Examples: [9, 33, 7]),
(hair_colour_id:INTEGER, Examples: [13, 1, 4]),
(skin_colour_id:INTEGER, Examples: [1, 7, 23]),
(race_id:INTEGER, Examples: [1, 24, 33]),
(publisher_id:INTEGER, Examples: [13, 3, 4]),
(alignment_id:INTEGER, Examples: [1, 2, 3]),
(height_cm:INTEGER, Examples: [188, 203, 191]),
(weight_kg:INTEGER, Examples: [90, 441, 65])
]
# Table: attribute
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(attribute_name:TEXT, Examples: [Intelligence, Strength, Speed])
]
# Table: hero_attribute
[
(hero_id:INTEGER, Examples: [1, 2, 3]),
(attribute_id:INTEGER, Examples: [1, 2, 3]),
(attribute_value:INTEGER, Examples: [80, 75, 95])
]
# Table: alignment
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(alignment:TEXT, Examples: [Good, Bad, Neutral])
]
# Table: race
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(race:TEXT, Examples: [-, Alien, Alpha])
]
# Table: gender
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(gender:TEXT, Examples: [Male, Female, N/A])
]
【Foreign keys】
hero_power.hero_id=superhero.id
hero_power.power_id=superpower.id
superhero.alignment_id=alignment.id
superhero.eye_colour_id=colour.id
superhero.gender_id=gender.id
superhero.hair_colour_id=colour.id
superhero.publisher_id=publisher.id
superhero.race_id=race.id
superhero.skin_colour_id=colour.id
hero_attribute.attribute_id=attribute.id
hero_attribute.hero_id=superhero.id

    【Question】
    Calculate the average height for each superhero. average = DIVIDE(SUM(height_cm), COUNT(all heros));

    【Evidence】
    average = DIVIDE(SUM(height_cm), COUNT(all heros));

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

SQL: SELECT CAST(SUM(height_cm) AS REAL) / COUNT(id) FROM superhero
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 superhero
【Schema】
# Table: hero_power
[
(hero_id:INTEGER, Examples: [1, 2, 3]),
(power_id:INTEGER, Examples: [1, 18, 26])
]
# Table: colour
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(colour:TEXT, Examples: [No Colour, Amber, Auburn])
]
# Table: superpower
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(power_name:TEXT, Examples: [Agility, Accelerated Healing, Lantern Power Ring])
]
# Table: publisher
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(publisher_name:TEXT, Examples: [ABC Studios, Dark Horse Comics, DC Comics])
]
# Table: superhero
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(superhero_name:TEXT, Examples: [3-D Man, A-Bomb, Abe Sapien]),
(full_name:TEXT, Examples: [Charles Chandler]),
(gender_id:INTEGER, Examples: [1, 2, 3]),
(eye_colour_id:INTEGER, Examples: [9, 33, 7]),
(hair_colour_id:INTEGER, Examples: [13, 1, 4]),
(skin_colour_id:INTEGER, Examples: [1, 7, 23]),
(race_id:INTEGER, Examples: [1, 24, 33]),
(publisher_id:INTEGER, Examples: [13, 3, 4]),
(alignment_id:INTEGER, Examples: [1, 2, 3]),
(height_cm:INTEGER, Examples: [188, 203, 191]),
(weight_kg:INTEGER, Examples: [90, 441, 65])
]
# Table: attribute
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(attribute_name:TEXT, Examples: [Intelligence, Strength, Speed])
]
# Table: hero_attribute
[
(hero_id:INTEGER, Examples: [1, 2, 3]),
(attribute_id:INTEGER, Examples: [1, 2, 3]),
(attribute_value:INTEGER, Examples: [80, 75, 95])
]
# Table: alignment
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(alignment:TEXT, Examples: [Good, Bad, Neutral])
]
# Table: race
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(race:TEXT, Examples: [-, Alien, Alpha])
]
# Table: gender
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(gender:TEXT, Examples: [Male, Female, N/A])
]
【Foreign keys】
hero_power.hero_id=superhero.id
hero_power.power_id=superpower.id
superhero.alignment_id=alignment.id
superhero.eye_colour_id=colour.id
superhero.gender_id=gender.id
superhero.hair_colour_id=colour.id
superhero.publisher_id=publisher.id
superhero.race_id=race.id
superhero.skin_colour_id=colour.id
hero_attribute.attribute_id=attribute.id
hero_attribute.hero_id=superhero.id

    【Question】
    What is Abomination's superpower? Abomination refers to superhero_name = 'Abomination'; superpower refers to power_name;

    【Evidence】
    Abomination refers to superhero_name = 'Abomination'; superpower refers to power_name;

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

SQL: SELECT T3.power_name FROM superhero AS T1 INNER JOIN hero_power AS T2 ON T1.id = T2.hero_id INNER JOIN superpower AS T3 ON T2.power_id = T3.id WHERE T1.superhero_name = 'Abomination'
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 superhero
【Schema】
# Table: hero_power
[
(hero_id:INTEGER, Examples: [1, 2, 3]),
(power_id:INTEGER, Examples: [1, 18, 26])
]
# Table: colour
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(colour:TEXT, Examples: [No Colour, Amber, Auburn])
]
# Table: superpower
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(power_name:TEXT, Examples: [Agility, Accelerated Healing, Lantern Power Ring])
]
# Table: publisher
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(publisher_name:TEXT, Examples: [ABC Studios, Dark Horse Comics, DC Comics])
]
# Table: superhero
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(superhero_name:TEXT, Examples: [3-D Man, A-Bomb, Abe Sapien]),
(full_name:TEXT, Examples: [Charles Chandler]),
(gender_id:INTEGER, Examples: [1, 2, 3]),
(eye_colour_id:INTEGER, Examples: [9, 33, 7]),
(hair_colour_id:INTEGER, Examples: [13, 1, 4]),
(skin_colour_id:INTEGER, Examples: [1, 7, 23]),
(race_id:INTEGER, Examples: [1, 24, 33]),
(publisher_id:INTEGER, Examples: [13, 3, 4]),
(alignment_id:INTEGER, Examples: [1, 2, 3]),
(height_cm:INTEGER, Examples: [188, 203, 191]),
(weight_kg:INTEGER, Examples: [90, 441, 65])
]
# Table: attribute
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(attribute_name:TEXT, Examples: [Intelligence, Strength, Speed])
]
# Table: hero_attribute
[
(hero_id:INTEGER, Examples: [1, 2, 3]),
(attribute_id:INTEGER, Examples: [1, 2, 3]),
(attribute_value:INTEGER, Examples: [80, 75, 95])
]
# Table: alignment
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(alignment:TEXT, Examples: [Good, Bad, Neutral])
]
# Table: race
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(race:TEXT, Examples: [-, Alien, Alpha])
]
# Table: gender
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(gender:TEXT, Examples: [Male, Female, N/A])
]
【Foreign keys】
hero_power.hero_id=superhero.id
hero_power.power_id=superpower.id
superhero.alignment_id=alignment.id
superhero.eye_colour_id=colour.id
superhero.gender_id=gender.id
superhero.hair_colour_id=colour.id
superhero.publisher_id=publisher.id
superhero.race_id=race.id
superhero.skin_colour_id=colour.id
hero_attribute.attribute_id=attribute.id
hero_attribute.hero_id=superhero.id

    【Question】
    Among the superheroes with the race of god/eternal, how many of them are male race "god/eternal" refers to race_id = 21; male refers to gender.id = 1

    【Evidence】
    race "god/eternal" refers to race_id = 21; male refers to gender.id = 1

    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 superhero AS T1 INNER JOIN race AS T2 ON T1.race_id = T2.id INNER JOIN gender AS T3 ON T3.id = T1.gender_id WHERE T1.race_id = 21 AND T1.gender_id = 1
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 superhero
【Schema】
# Table: hero_power
[
(hero_id:INTEGER, Examples: [1, 2, 3]),
(power_id:INTEGER, Examples: [1, 18, 26])
]
# Table: colour
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(colour:TEXT, Examples: [No Colour, Amber, Auburn])
]
# Table: superpower
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(power_name:TEXT, Examples: [Agility, Accelerated Healing, Lantern Power Ring])
]
# Table: publisher
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(publisher_name:TEXT, Examples: [ABC Studios, Dark Horse Comics, DC Comics])
]
# Table: superhero
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(superhero_name:TEXT, Examples: [3-D Man, A-Bomb, Abe Sapien]),
(full_name:TEXT, Examples: [Charles Chandler]),
(gender_id:INTEGER, Examples: [1, 2, 3]),
(eye_colour_id:INTEGER, Examples: [9, 33, 7]),
(hair_colour_id:INTEGER, Examples: [13, 1, 4]),
(skin_colour_id:INTEGER, Examples: [1, 7, 23]),
(race_id:INTEGER, Examples: [1, 24, 33]),
(publisher_id:INTEGER, Examples: [13, 3, 4]),
(alignment_id:INTEGER, Examples: [1, 2, 3]),
(height_cm:INTEGER, Examples: [188, 203, 191]),
(weight_kg:INTEGER, Examples: [90, 441, 65])
]
# Table: attribute
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(attribute_name:TEXT, Examples: [Intelligence, Strength, Speed])
]
# Table: hero_attribute
[
(hero_id:INTEGER, Examples: [1, 2, 3]),
(attribute_id:INTEGER, Examples: [1, 2, 3]),
(attribute_value:INTEGER, Examples: [80, 75, 95])
]
# Table: alignment
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(alignment:TEXT, Examples: [Good, Bad, Neutral])
]
# Table: race
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(race:TEXT, Examples: [-, Alien, Alpha])
]
# Table: gender
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(gender:TEXT, Examples: [Male, Female, N/A])
]
【Foreign keys】
hero_power.hero_id=superhero.id
hero_power.power_id=superpower.id
superhero.alignment_id=alignment.id
superhero.eye_colour_id=colour.id
superhero.gender_id=gender.id
superhero.hair_colour_id=colour.id
superhero.publisher_id=publisher.id
superhero.race_id=race.id
superhero.skin_colour_id=colour.id
hero_attribute.attribute_id=attribute.id
hero_attribute.hero_id=superhero.id

    【Question】
    Which hero was the fastest? which hero refers to superhero_name; fastest refers to MAX(attribute_value) WHERE attribute_name = 'Speed';

    【Evidence】
    which hero refers to superhero_name; fastest refers to MAX(attribute_value) WHERE attribute_name = 'Speed';

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

SQL: SELECT T1.superhero_name FROM superhero AS T1 INNER JOIN hero_attribute AS T2 ON T1.id = T2.hero_id INNER JOIN attribute AS T3 ON T2.attribute_id = T3.id WHERE T3.attribute_name = 'Speed' ORDER BY T2.attribute_value DESC LIMIT 1
You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 superhero
【Schema】
# Table: hero_power
[
(hero_id:INTEGER, Examples: [1, 2, 3]),
(power_id:INTEGER, Examples: [1, 18, 26])
]
# Table: colour
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(colour:TEXT, Examples: [No Colour, Amber, Auburn])
]
# Table: superpower
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(power_name:TEXT, Examples: [Agility, Accelerated Healing, Lantern Power Ring])
]
# Table: publisher
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(publisher_name:TEXT, Examples: [ABC Studios, Dark Horse Comics, DC Comics])
]
# Table: superhero
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(superhero_name:TEXT, Examples: [3-D Man, A-Bomb, Abe Sapien]),
(full_name:TEXT, Examples: [Charles Chandler]),
(gender_id:INTEGER, Examples: [1, 2, 3]),
(eye_colour_id:INTEGER, Examples: [9, 33, 7]),
(hair_colour_id:INTEGER, Examples: [13, 1, 4]),
(skin_colour_id:INTEGER, Examples: [1, 7, 23]),
(race_id:INTEGER, Examples: [1, 24, 33]),
(publisher_id:INTEGER, Examples: [13, 3, 4]),
(alignment_id:INTEGER, Examples: [1, 2, 3]),
(height_cm:INTEGER, Examples: [188, 203, 191]),
(weight_kg:INTEGER, Examples: [90, 441, 65])
]
# Table: attribute
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(attribute_name:TEXT, Examples: [Intelligence, Strength, Speed])
]
# Table: hero_attribute
[
(hero_id:INTEGER, Examples: [1, 2, 3]),
(attribute_id:INTEGER, Examples: [1, 2, 3]),
(attribute_value:INTEGER, Examples: [80, 75, 95])
]
# Table: alignment
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(alignment:TEXT, Examples: [Good, Bad, Neutral])
]
# Table: race
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(race:TEXT, Examples: [-, Alien, Alpha])
]
# Table: gender
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(gender:TEXT, Examples: [Male, Female, N/A])
]
【Foreign keys】
hero_power.hero_id=superhero.id
hero_power.power_id=superpower.id
superhero.alignment_id=alignment.id
superhero.eye_colour_id=colour.id
superhero.gender_id=gender.id
superhero.hair_colour_id=colour.id
superhero.publisher_id=publisher.id
superhero.race_id=race.id
superhero.skin_colour_id=colour.id
hero_attribute.attribute_id=attribute.id
hero_attribute.hero_id=superhero.id

    【Question】
    How many superheroes have a neutral alignment? neutral alignment refers to alignment_id = 3;

    【Evidence】
    neutral alignment refers to alignment_id = 3;

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

SQL: SELECT COUNT(T1.id) FROM superhero AS T1 INNER JOIN alignment AS T2 ON T1.alignment_id = T2.id WHERE T2.alignment = 'Neutral'