richardr1126/spider-skeleton-context-instruct huggingface dataset:
### Instruction:

Convert text to sql: Find all the addresses in East Julianaside, Texas or in Gleasonmouth, Arizona. | addresses : address_id , address_content , city , zip_postcode , state_province_county , country , other_address_details | products : product_id , product_details | customers : customer_id , payment_method , customer_name , date_became_customer , other_customer_details | customer_addresses : customer_id , address_id , date_address_from , address_type , date_address_to | customer_contact_channels : customer_id , channel_code , active_from_date , active_to_date , contact_number | customer_orders : order_id , customer_id , order_status , order_date , order_details | order_items : order_id , product_id , order_quantity | customer_addresses.customer_id = customers.customer_id | customer_addresses.address_id = addresses.address_id | customer_contact_channels.customer_id = customers.customer_id | customer_orders.customer_id = customers.customer_id | order_items.order_id = customer_orders.order_id | order_items.product_id = products.product_id | 

### Response:

select _ from _ where _ union select _ from _ where _ | select address_content from addresses where city = 'East Julianaside' and state_province_county = 'Texas' union select address_content from addresses where city = 'Gleasonmouth' and state_province_county = 'Arizona'
### Instruction:

Convert text to sql: What are all the addresses in East Julianaside, Texas or in Gleasonmouth, Arizona. | addresses : address_id , address_content , city , zip_postcode , state_province_county , country , other_address_details | products : product_id , product_details | customers : customer_id , payment_method , customer_name , date_became_customer , other_customer_details | customer_addresses : customer_id , address_id , date_address_from , address_type , date_address_to | customer_contact_channels : customer_id , channel_code , active_from_date , active_to_date , contact_number | customer_orders : order_id , customer_id , order_status , order_date , order_details | order_items : order_id , product_id , order_quantity | customer_addresses.customer_id = customers.customer_id | customer_addresses.address_id = addresses.address_id | customer_contact_channels.customer_id = customers.customer_id | customer_orders.customer_id = customers.customer_id | order_items.order_id = customer_orders.order_id | order_items.product_id = products.product_id | 

### Response:

select _ from _ where _ union select _ from _ where _ | select address_content from addresses where city = 'East Julianaside' and state_province_county = 'Texas' union select address_content from addresses where city = 'Gleasonmouth' and state_province_county = 'Arizona'
### Instruction:

Convert text to sql: Find the name of customers who did not pay with Cash. | addresses : address_id , address_content , city , zip_postcode , state_province_county , country , other_address_details | products : product_id , product_details | customers : customer_id , payment_method , customer_name , date_became_customer , other_customer_details | customer_addresses : customer_id , address_id , date_address_from , address_type , date_address_to | customer_contact_channels : customer_id , channel_code , active_from_date , active_to_date , contact_number | customer_orders : order_id , customer_id , order_status , order_date , order_details | order_items : order_id , product_id , order_quantity | customer_addresses.customer_id = customers.customer_id | customer_addresses.address_id = addresses.address_id | customer_contact_channels.customer_id = customers.customer_id | customer_orders.customer_id = customers.customer_id | order_items.order_id = customer_orders.order_id | order_items.product_id = products.product_id | 

### Response:

select _ from _ where _ | select customer_name from customers where payment_method != 'Cash'
### Instruction:

Convert text to sql: What is the name of customers who do not use Cash as payment method. | addresses : address_id , address_content , city , zip_postcode , state_province_county , country , other_address_details | products : product_id , product_details | customers : customer_id , payment_method , customer_name , date_became_customer , other_customer_details | customer_addresses : customer_id , address_id , date_address_from , address_type , date_address_to | customer_contact_channels : customer_id , channel_code , active_from_date , active_to_date , contact_number | customer_orders : order_id , customer_id , order_status , order_date , order_details | order_items : order_id , product_id , order_quantity | customer_addresses.customer_id = customers.customer_id | customer_addresses.address_id = addresses.address_id | customer_contact_channels.customer_id = customers.customer_id | customer_orders.customer_id = customers.customer_id | order_items.order_id = customer_orders.order_id | order_items.product_id = products.product_id | 

### Response:

select _ from _ where _ | select customer_name from customers where payment_method != 'Cash'
### Instruction:

Convert text to sql: Find the names of customers who never ordered product Latte. | addresses : address_id , address_content , city , zip_postcode , state_province_county , country , other_address_details | products : product_id , product_details | customers : customer_id , payment_method , customer_name , date_became_customer , other_customer_details | customer_addresses : customer_id , address_id , date_address_from , address_type , date_address_to | customer_contact_channels : customer_id , channel_code , active_from_date , active_to_date , contact_number | customer_orders : order_id , customer_id , order_status , order_date , order_details | order_items : order_id , product_id , order_quantity | customer_addresses.customer_id = customers.customer_id | customer_addresses.address_id = addresses.address_id | customer_contact_channels.customer_id = customers.customer_id | customer_orders.customer_id = customers.customer_id | order_items.order_id = customer_orders.order_id | order_items.product_id = products.product_id | 

### Response:

select _ from _ except select _ from _ where _ | select customer_name from customers except select customers.customer_name from customers join customer_orders on customers.customer_id = customer_orders.customer_id join order_items on customer_orders.order_id = order_items.order_id join products on order_items.product_id = products.product_id where products.product_details = 'Latte'
### Instruction:

Convert text to sql: What are names of customers who never ordered product Latte. | addresses : address_id , address_content , city , zip_postcode , state_province_county , country , other_address_details | products : product_id , product_details | customers : customer_id , payment_method , customer_name , date_became_customer , other_customer_details | customer_addresses : customer_id , address_id , date_address_from , address_type , date_address_to | customer_contact_channels : customer_id , channel_code , active_from_date , active_to_date , contact_number | customer_orders : order_id , customer_id , order_status , order_date , order_details | order_items : order_id , product_id , order_quantity | customer_addresses.customer_id = customers.customer_id | customer_addresses.address_id = addresses.address_id | customer_contact_channels.customer_id = customers.customer_id | customer_orders.customer_id = customers.customer_id | order_items.order_id = customer_orders.order_id | order_items.product_id = products.product_id | 

### Response:

select _ from _ except select _ from _ where _ | select customer_name from customers except select customers.customer_name from customers join customer_orders on customers.customer_id = customer_orders.customer_id join order_items on customer_orders.order_id = order_items.order_id join products on order_items.product_id = products.product_id where products.product_details = 'Latte'
### Instruction:

Convert text to sql: Find the names of customers who never placed an order. | addresses : address_id , address_content , city , zip_postcode , state_province_county , country , other_address_details | products : product_id , product_details | customers : customer_id , payment_method , customer_name , date_became_customer , other_customer_details | customer_addresses : customer_id , address_id , date_address_from , address_type , date_address_to | customer_contact_channels : customer_id , channel_code , active_from_date , active_to_date , contact_number | customer_orders : order_id , customer_id , order_status , order_date , order_details | order_items : order_id , product_id , order_quantity | customer_addresses.customer_id = customers.customer_id | customer_addresses.address_id = addresses.address_id | customer_contact_channels.customer_id = customers.customer_id | customer_orders.customer_id = customers.customer_id | order_items.order_id = customer_orders.order_id | order_items.product_id = products.product_id | 

### Response:

select _ from _ except select _ from _ | select customer_name from customers except select customers.customer_name from customers join customer_orders on customers.customer_id = customer_orders.customer_id
### Instruction:

Convert text to sql: What are the names of customers who never made an order. | addresses : address_id , address_content , city , zip_postcode , state_province_county , country , other_address_details | products : product_id , product_details | customers : customer_id , payment_method , customer_name , date_became_customer , other_customer_details | customer_addresses : customer_id , address_id , date_address_from , address_type , date_address_to | customer_contact_channels : customer_id , channel_code , active_from_date , active_to_date , contact_number | customer_orders : order_id , customer_id , order_status , order_date , order_details | order_items : order_id , product_id , order_quantity | customer_addresses.customer_id = customers.customer_id | customer_addresses.address_id = addresses.address_id | customer_contact_channels.customer_id = customers.customer_id | customer_orders.customer_id = customers.customer_id | order_items.order_id = customer_orders.order_id | order_items.product_id = products.product_id | 

### Response:

select _ from _ except select _ from _ | select customer_name from customers except select customers.customer_name from customers join customer_orders on customers.customer_id = customer_orders.customer_id
### Instruction:

Convert text to sql: Find the names of customers who ordered both products Latte and Americano. | addresses : address_id , address_content , city , zip_postcode , state_province_county , country , other_address_details | products : product_id , product_details | customers : customer_id , payment_method , customer_name , date_became_customer , other_customer_details | customer_addresses : customer_id , address_id , date_address_from , address_type , date_address_to | customer_contact_channels : customer_id , channel_code , active_from_date , active_to_date , contact_number | customer_orders : order_id , customer_id , order_status , order_date , order_details | order_items : order_id , product_id , order_quantity | customer_addresses.customer_id = customers.customer_id | customer_addresses.address_id = addresses.address_id | customer_contact_channels.customer_id = customers.customer_id | customer_orders.customer_id = customers.customer_id | order_items.order_id = customer_orders.order_id | order_items.product_id = products.product_id | 

### Response:

select _ from _ where _ intersect select _ from _ where _ | select customers.customer_name from customers join customer_orders on customers.customer_id = customer_orders.customer_id join order_items on customer_orders.order_id = order_items.order_id join products on order_items.product_id = products.product_id where products.product_details = 'Latte' intersect select customers.customer_name from customers join customer_orders on customers.customer_id = customer_orders.customer_id join order_items on customer_orders.order_id = order_items.order_id join products on order_items.product_id = products.product_id where products.product_details = 'Americano'
### Instruction:

Convert text to sql: What are the names of customers who have purchased both products Latte and Americano? | addresses : address_id , address_content , city , zip_postcode , state_province_county , country , other_address_details | products : product_id , product_details | customers : customer_id , payment_method , customer_name , date_became_customer , other_customer_details | customer_addresses : customer_id , address_id , date_address_from , address_type , date_address_to | customer_contact_channels : customer_id , channel_code , active_from_date , active_to_date , contact_number | customer_orders : order_id , customer_id , order_status , order_date , order_details | order_items : order_id , product_id , order_quantity | customer_addresses.customer_id = customers.customer_id | customer_addresses.address_id = addresses.address_id | customer_contact_channels.customer_id = customers.customer_id | customer_orders.customer_id = customers.customer_id | order_items.order_id = customer_orders.order_id | order_items.product_id = products.product_id | 

### Response:

select _ from _ where _ intersect select _ from _ where _ | select customers.customer_name from customers join customer_orders on customers.customer_id = customer_orders.customer_id join order_items on customer_orders.order_id = order_items.order_id join products on order_items.product_id = products.product_id where products.product_details = 'Latte' intersect select customers.customer_name from customers join customer_orders on customers.customer_id = customer_orders.customer_id join order_items on customer_orders.order_id = order_items.order_id join products on order_items.product_id = products.product_id where products.product_details = 'Americano'
### Instruction:

Convert text to sql: How many artists are there? | artist : artist_id , artist , age , famous_title , famous_release_date | volume : volume_id , volume_issue , issue_date , weeks_on_top , song , artist_id | music_festival : id , music_festival , date_of_ceremony , category , volume , result | volume.artist_id = artist.artist_id | music_festival.volume = volume.volume_id | 

### Response:

select count ( _ ) from _ | select count ( * ) from artist
### Instruction:

Convert text to sql: Count the number of artists. | artist : artist_id , artist , age , famous_title , famous_release_date | volume : volume_id , volume_issue , issue_date , weeks_on_top , song , artist_id | music_festival : id , music_festival , date_of_ceremony , category , volume , result | volume.artist_id = artist.artist_id | music_festival.volume = volume.volume_id | 

### Response:

select count ( _ ) from _ | select count ( * ) from artist
### Instruction:

Convert text to sql: List the age of all music artists. | artist : artist_id , artist , age , famous_title , famous_release_date | volume : volume_id , volume_issue , issue_date , weeks_on_top , song , artist_id | music_festival : id , music_festival , date_of_ceremony , category , volume , result | volume.artist_id = artist.artist_id | music_festival.volume = volume.volume_id | 

### Response:

select _ from _ | select age from artist
### Instruction:

Convert text to sql: What are the ages of all music artists? | artist : artist_id , artist , age , famous_title , famous_release_date | volume : volume_id , volume_issue , issue_date , weeks_on_top , song , artist_id | music_festival : id , music_festival , date_of_ceremony , category , volume , result | volume.artist_id = artist.artist_id | music_festival.volume = volume.volume_id | 

### Response:

select _ from _ | select age from artist
### Instruction:

Convert text to sql: What is the average age of all artists? | artist : artist_id , artist , age , famous_title , famous_release_date | volume : volume_id , volume_issue , issue_date , weeks_on_top , song , artist_id | music_festival : id , music_festival , date_of_ceremony , category , volume , result | volume.artist_id = artist.artist_id | music_festival.volume = volume.volume_id | 

### Response:

select avg ( _ ) from _ | select avg ( age ) from artist
### Instruction:

Convert text to sql: Return the average age across all artists. | artist : artist_id , artist , age , famous_title , famous_release_date | volume : volume_id , volume_issue , issue_date , weeks_on_top , song , artist_id | music_festival : id , music_festival , date_of_ceremony , category , volume , result | volume.artist_id = artist.artist_id | music_festival.volume = volume.volume_id | 

### Response:

select avg ( _ ) from _ | select avg ( age ) from artist
### Instruction:

Convert text to sql: What are the famous titles of the artist "Triumfall"? | artist : artist_id , artist , age , famous_title , famous_release_date | volume : volume_id , volume_issue , issue_date , weeks_on_top , song , artist_id | music_festival : id , music_festival , date_of_ceremony , category , volume , result | volume.artist_id = artist.artist_id | music_festival.volume = volume.volume_id | 

### Response:

select _ from _ where _ | select famous_title from artist where artist = 'Triumfall'
### Instruction:

Convert text to sql: Return the famous titles of the artist called "Triumfall". | artist : artist_id , artist , age , famous_title , famous_release_date | volume : volume_id , volume_issue , issue_date , weeks_on_top , song , artist_id | music_festival : id , music_festival , date_of_ceremony , category , volume , result | volume.artist_id = artist.artist_id | music_festival.volume = volume.volume_id | 

### Response:

select _ from _ where _ | select famous_title from artist where artist = 'Triumfall'
### Instruction:

Convert text to sql: What are the distinct Famous release dates? | artist : artist_id , artist , age , famous_title , famous_release_date | volume : volume_id , volume_issue , issue_date , weeks_on_top , song , artist_id | music_festival : id , music_festival , date_of_ceremony , category , volume , result | volume.artist_id = artist.artist_id | music_festival.volume = volume.volume_id | 

### Response:

select distinct ( _ ) from _ | select distinct ( famous_release_date ) from artist
### Instruction:

Convert text to sql: Give the distinct famous release dates for all artists. | artist : artist_id , artist , age , famous_title , famous_release_date | volume : volume_id , volume_issue , issue_date , weeks_on_top , song , artist_id | music_festival : id , music_festival , date_of_ceremony , category , volume , result | volume.artist_id = artist.artist_id | music_festival.volume = volume.volume_id | 

### Response:

select distinct ( _ ) from _ | select distinct ( famous_release_date ) from artist
### Instruction:

Convert text to sql: Return the dates of ceremony and the results of all music festivals | artist : artist_id , artist , age , famous_title , famous_release_date | volume : volume_id , volume_issue , issue_date , weeks_on_top , song , artist_id | music_festival : id , music_festival , date_of_ceremony , category , volume , result | volume.artist_id = artist.artist_id | music_festival.volume = volume.volume_id | 

### Response:

select _ from _ | select date_of_ceremony , result from music_festival
### Instruction:

Convert text to sql: What are the dates of ceremony and results for each music festival? | artist : artist_id , artist , age , famous_title , famous_release_date | volume : volume_id , volume_issue , issue_date , weeks_on_top , song , artist_id | music_festival : id , music_festival , date_of_ceremony , category , volume , result | volume.artist_id = artist.artist_id | music_festival.volume = volume.volume_id | 

### Response:

select _ from _ | select date_of_ceremony , result from music_festival
### Instruction:

Convert text to sql: What are the category of music festivals with result "Awarded"? | artist : artist_id , artist , age , famous_title , famous_release_date | volume : volume_id , volume_issue , issue_date , weeks_on_top , song , artist_id | music_festival : id , music_festival , date_of_ceremony , category , volume , result | volume.artist_id = artist.artist_id | music_festival.volume = volume.volume_id | 

### Response:

select _ from _ where _ | select category from music_festival where result = 'Awarded'
### Instruction:

Convert text to sql: Return the categories of music festivals that have the result "Awarded". | artist : artist_id , artist , age , famous_title , famous_release_date | volume : volume_id , volume_issue , issue_date , weeks_on_top , song , artist_id | music_festival : id , music_festival , date_of_ceremony , category , volume , result | volume.artist_id = artist.artist_id | music_festival.volume = volume.volume_id | 

### Response:

select _ from _ where _ | select category from music_festival where result = 'Awarded'
### Instruction:

Convert text to sql: What are the maximum and minimum week on top of all volumes? | artist : artist_id , artist , age , famous_title , famous_release_date | volume : volume_id , volume_issue , issue_date , weeks_on_top , song , artist_id | music_festival : id , music_festival , date_of_ceremony , category , volume , result | volume.artist_id = artist.artist_id | music_festival.volume = volume.volume_id | 

### Response:

select max ( _ ) , min ( _ ) from _ | select max ( weeks_on_top ) , min ( weeks_on_top ) from volume
### Instruction:

Convert text to sql: Give the maximum and minimum weeks on top across all volumes. | artist : artist_id , artist , age , famous_title , famous_release_date | volume : volume_id , volume_issue , issue_date , weeks_on_top , song , artist_id | music_festival : id , music_festival , date_of_ceremony , category , volume , result | volume.artist_id = artist.artist_id | music_festival.volume = volume.volume_id | 

### Response:

select max ( _ ) , min ( _ ) from _ | select max ( weeks_on_top ) , min ( weeks_on_top ) from volume
### Instruction:

Convert text to sql: What are the songs in volumes with more than 1 week on top? | artist : artist_id , artist , age , famous_title , famous_release_date | volume : volume_id , volume_issue , issue_date , weeks_on_top , song , artist_id | music_festival : id , music_festival , date_of_ceremony , category , volume , result | volume.artist_id = artist.artist_id | music_festival.volume = volume.volume_id | 

### Response:

select _ from _ where _ | select song from volume where weeks_on_top > 1
### Instruction:

Convert text to sql: Give the songs included in volumes that have more than 1 week on top. | artist : artist_id , artist , age , famous_title , famous_release_date | volume : volume_id , volume_issue , issue_date , weeks_on_top , song , artist_id | music_festival : id , music_festival , date_of_ceremony , category , volume , result | volume.artist_id = artist.artist_id | music_festival.volume = volume.volume_id | 

### Response:

select _ from _ where _ | select song from volume where weeks_on_top > 1
### Instruction:

Convert text to sql: Please list all songs in volumes in ascending alphabetical order. | artist : artist_id , artist , age , famous_title , famous_release_date | volume : volume_id , volume_issue , issue_date , weeks_on_top , song , artist_id | music_festival : id , music_festival , date_of_ceremony , category , volume , result | volume.artist_id = artist.artist_id | music_festival.volume = volume.volume_id | 

### Response:

select _ from _ order by _ asc | select song from volume order by song asc
### Instruction:

Convert text to sql: What are the the songs in volumes, listed in ascending order? | artist : artist_id , artist , age , famous_title , famous_release_date | volume : volume_id , volume_issue , issue_date , weeks_on_top , song , artist_id | music_festival : id , music_festival , date_of_ceremony , category , volume , result | volume.artist_id = artist.artist_id | music_festival.volume = volume.volume_id | 

### Response:

select _ from _ order by _ asc | select song from volume order by song asc