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

Convert text to sql: Find the titles of albums that contain tracks of both the Reggae and Rock genres. | album : albumid , title , artistid | artist : artistid , name | customer : customerid , firstname , lastname , company , address , city , state , country , postalcode , phone , fax , email , supportrepid | employee : employeeid , lastname , firstname , title , reportsto , birthdate , hiredate , address , city , state , country , postalcode , phone , fax , email | genre : genreid , name | invoice : invoiceid , customerid , invoicedate , billingaddress , billingcity , billingstate , billingcountry , billingpostalcode , total | invoiceline : invoicelineid , invoiceid , trackid , unitprice , quantity | mediatype : mediatypeid , name | playlist : playlistid , name | playlisttrack : playlistid , trackid | track : trackid , name , albumid , mediatypeid , genreid , composer , milliseconds , bytes , unitprice | album.artistid = artist.artistid | customer.supportrepid = employee.employeeid | employee.reportsto = employee.employeeid | invoice.customerid = customer.customerid | invoiceline.trackid = track.trackid | invoiceline.invoiceid = invoice.invoiceid | playlisttrack.trackid = track.trackid | playlisttrack.playlistid = playlist.playlistid | track.mediatypeid = mediatype.mediatypeid | track.genreid = genre.genreid | track.albumid = album.albumid | 

### Response:

select _ from _ where _ intersect select _ from _ where _ | select album.title from album join track on album.albumid = track.albumid join genre on track.genreid = genre.genreid where genre.name = 'Reggae' intersect select album.title from album join track on album.albumid = track.albumid join genre on track.genreid = genre.genreid where genre.name = 'Rock'
### Instruction:

Convert text to sql: Find all the phone numbers. | customers : customer_id , customer_name | services : service_id , service_name | available_policies : policy_id , policy_type_code , customer_phone | customers_policies : customer_id , policy_id , date_opened , date_closed | first_notification_of_loss : fnol_id , customer_id , policy_id , service_id | claims : claim_id , fnol_id , effective_date | settlements : settlement_id , claim_id , effective_date , settlement_amount | customers_policies.policy_id = available_policies.policy_id | customers_policies.customer_id = customers.customer_id | first_notification_of_loss.customer_id = customers_policies.customer_id | first_notification_of_loss.policy_id = customers_policies.policy_id | first_notification_of_loss.service_id = services.service_id | claims.fnol_id = first_notification_of_loss.fnol_id | settlements.claim_id = claims.claim_id | 

### Response:

select _ from _ | select customer_phone from available_policies
### Instruction:

Convert text to sql: What are all the phone numbers? | customers : customer_id , customer_name | services : service_id , service_name | available_policies : policy_id , policy_type_code , customer_phone | customers_policies : customer_id , policy_id , date_opened , date_closed | first_notification_of_loss : fnol_id , customer_id , policy_id , service_id | claims : claim_id , fnol_id , effective_date | settlements : settlement_id , claim_id , effective_date , settlement_amount | customers_policies.policy_id = available_policies.policy_id | customers_policies.customer_id = customers.customer_id | first_notification_of_loss.customer_id = customers_policies.customer_id | first_notification_of_loss.policy_id = customers_policies.policy_id | first_notification_of_loss.service_id = services.service_id | claims.fnol_id = first_notification_of_loss.fnol_id | settlements.claim_id = claims.claim_id | 

### Response:

select _ from _ | select customer_phone from available_policies
### Instruction:

Convert text to sql: What are the customer phone numbers under the policy "Life Insurance"? | customers : customer_id , customer_name | services : service_id , service_name | available_policies : policy_id , policy_type_code , customer_phone | customers_policies : customer_id , policy_id , date_opened , date_closed | first_notification_of_loss : fnol_id , customer_id , policy_id , service_id | claims : claim_id , fnol_id , effective_date | settlements : settlement_id , claim_id , effective_date , settlement_amount | customers_policies.policy_id = available_policies.policy_id | customers_policies.customer_id = customers.customer_id | first_notification_of_loss.customer_id = customers_policies.customer_id | first_notification_of_loss.policy_id = customers_policies.policy_id | first_notification_of_loss.service_id = services.service_id | claims.fnol_id = first_notification_of_loss.fnol_id | settlements.claim_id = claims.claim_id | 

### Response:

select _ from _ where _ | select customer_phone from available_policies where policy_type_code = 'Life Insurance'
### Instruction:

Convert text to sql: What are the phone numbers of customers using the policy with the code "Life Insurance"? | customers : customer_id , customer_name | services : service_id , service_name | available_policies : policy_id , policy_type_code , customer_phone | customers_policies : customer_id , policy_id , date_opened , date_closed | first_notification_of_loss : fnol_id , customer_id , policy_id , service_id | claims : claim_id , fnol_id , effective_date | settlements : settlement_id , claim_id , effective_date , settlement_amount | customers_policies.policy_id = available_policies.policy_id | customers_policies.customer_id = customers.customer_id | first_notification_of_loss.customer_id = customers_policies.customer_id | first_notification_of_loss.policy_id = customers_policies.policy_id | first_notification_of_loss.service_id = services.service_id | claims.fnol_id = first_notification_of_loss.fnol_id | settlements.claim_id = claims.claim_id | 

### Response:

select _ from _ where _ | select customer_phone from available_policies where policy_type_code = 'Life Insurance'
### Instruction:

Convert text to sql: Which policy type has the most records in the database? | customers : customer_id , customer_name | services : service_id , service_name | available_policies : policy_id , policy_type_code , customer_phone | customers_policies : customer_id , policy_id , date_opened , date_closed | first_notification_of_loss : fnol_id , customer_id , policy_id , service_id | claims : claim_id , fnol_id , effective_date | settlements : settlement_id , claim_id , effective_date , settlement_amount | customers_policies.policy_id = available_policies.policy_id | customers_policies.customer_id = customers.customer_id | first_notification_of_loss.customer_id = customers_policies.customer_id | first_notification_of_loss.policy_id = customers_policies.policy_id | first_notification_of_loss.service_id = services.service_id | claims.fnol_id = first_notification_of_loss.fnol_id | settlements.claim_id = claims.claim_id | 

### Response:

select _ from _ group by _ order by count ( _ ) desc limit _ | select policy_type_code from available_policies group by policy_type_code order by count ( * ) desc limit 1
### Instruction:

Convert text to sql: Which policy type appears most frequently in the available policies? | customers : customer_id , customer_name | services : service_id , service_name | available_policies : policy_id , policy_type_code , customer_phone | customers_policies : customer_id , policy_id , date_opened , date_closed | first_notification_of_loss : fnol_id , customer_id , policy_id , service_id | claims : claim_id , fnol_id , effective_date | settlements : settlement_id , claim_id , effective_date , settlement_amount | customers_policies.policy_id = available_policies.policy_id | customers_policies.customer_id = customers.customer_id | first_notification_of_loss.customer_id = customers_policies.customer_id | first_notification_of_loss.policy_id = customers_policies.policy_id | first_notification_of_loss.service_id = services.service_id | claims.fnol_id = first_notification_of_loss.fnol_id | settlements.claim_id = claims.claim_id | 

### Response:

select _ from _ group by _ order by count ( _ ) desc limit _ | select policy_type_code from available_policies group by policy_type_code order by count ( * ) desc limit 1
### Instruction:

Convert text to sql: What are all the customer phone numbers under the most popular policy type? | customers : customer_id , customer_name | services : service_id , service_name | available_policies : policy_id , policy_type_code , customer_phone | customers_policies : customer_id , policy_id , date_opened , date_closed | first_notification_of_loss : fnol_id , customer_id , policy_id , service_id | claims : claim_id , fnol_id , effective_date | settlements : settlement_id , claim_id , effective_date , settlement_amount | customers_policies.policy_id = available_policies.policy_id | customers_policies.customer_id = customers.customer_id | first_notification_of_loss.customer_id = customers_policies.customer_id | first_notification_of_loss.policy_id = customers_policies.policy_id | first_notification_of_loss.service_id = services.service_id | claims.fnol_id = first_notification_of_loss.fnol_id | settlements.claim_id = claims.claim_id | 

### Response:

select _ from _ where _ = ( select _ from _ group by _ order by count ( _ ) desc limit _ ) | select customer_phone from available_policies where policy_type_code = ( select policy_type_code from available_policies group by policy_type_code order by count ( * ) desc limit 1 )
### Instruction:

Convert text to sql: Find the phone numbers of customers using the most common policy type among the available policies. | customers : customer_id , customer_name | services : service_id , service_name | available_policies : policy_id , policy_type_code , customer_phone | customers_policies : customer_id , policy_id , date_opened , date_closed | first_notification_of_loss : fnol_id , customer_id , policy_id , service_id | claims : claim_id , fnol_id , effective_date | settlements : settlement_id , claim_id , effective_date , settlement_amount | customers_policies.policy_id = available_policies.policy_id | customers_policies.customer_id = customers.customer_id | first_notification_of_loss.customer_id = customers_policies.customer_id | first_notification_of_loss.policy_id = customers_policies.policy_id | first_notification_of_loss.service_id = services.service_id | claims.fnol_id = first_notification_of_loss.fnol_id | settlements.claim_id = claims.claim_id | 

### Response:

select _ from _ where _ = ( select _ from _ group by _ order by count ( _ ) desc limit _ ) | select customer_phone from available_policies where policy_type_code = ( select policy_type_code from available_policies group by policy_type_code order by count ( * ) desc limit 1 )
### Instruction:

Convert text to sql: Find the policy type used by more than 4 customers. | customers : customer_id , customer_name | services : service_id , service_name | available_policies : policy_id , policy_type_code , customer_phone | customers_policies : customer_id , policy_id , date_opened , date_closed | first_notification_of_loss : fnol_id , customer_id , policy_id , service_id | claims : claim_id , fnol_id , effective_date | settlements : settlement_id , claim_id , effective_date , settlement_amount | customers_policies.policy_id = available_policies.policy_id | customers_policies.customer_id = customers.customer_id | first_notification_of_loss.customer_id = customers_policies.customer_id | first_notification_of_loss.policy_id = customers_policies.policy_id | first_notification_of_loss.service_id = services.service_id | claims.fnol_id = first_notification_of_loss.fnol_id | settlements.claim_id = claims.claim_id | 

### Response:

select _ from _ group by _ having count ( _ ) > _ | select policy_type_code from available_policies group by policy_type_code having count ( * ) > 4
### Instruction:

Convert text to sql: Find the policy types more than 4 customers use. Show their type code. | customers : customer_id , customer_name | services : service_id , service_name | available_policies : policy_id , policy_type_code , customer_phone | customers_policies : customer_id , policy_id , date_opened , date_closed | first_notification_of_loss : fnol_id , customer_id , policy_id , service_id | claims : claim_id , fnol_id , effective_date | settlements : settlement_id , claim_id , effective_date , settlement_amount | customers_policies.policy_id = available_policies.policy_id | customers_policies.customer_id = customers.customer_id | first_notification_of_loss.customer_id = customers_policies.customer_id | first_notification_of_loss.policy_id = customers_policies.policy_id | first_notification_of_loss.service_id = services.service_id | claims.fnol_id = first_notification_of_loss.fnol_id | settlements.claim_id = claims.claim_id | 

### Response:

select _ from _ group by _ having count ( _ ) > _ | select policy_type_code from available_policies group by policy_type_code having count ( * ) > 4
### Instruction:

Convert text to sql: Find the total and average amount of settlements. | customers : customer_id , customer_name | services : service_id , service_name | available_policies : policy_id , policy_type_code , customer_phone | customers_policies : customer_id , policy_id , date_opened , date_closed | first_notification_of_loss : fnol_id , customer_id , policy_id , service_id | claims : claim_id , fnol_id , effective_date | settlements : settlement_id , claim_id , effective_date , settlement_amount | customers_policies.policy_id = available_policies.policy_id | customers_policies.customer_id = customers.customer_id | first_notification_of_loss.customer_id = customers_policies.customer_id | first_notification_of_loss.policy_id = customers_policies.policy_id | first_notification_of_loss.service_id = services.service_id | claims.fnol_id = first_notification_of_loss.fnol_id | settlements.claim_id = claims.claim_id | 

### Response:

select sum ( _ ) , avg ( _ ) from _ | select sum ( settlement_amount ) , avg ( settlement_amount ) from settlements
### Instruction:

Convert text to sql: Return the sum and average of all settlement amounts. | customers : customer_id , customer_name | services : service_id , service_name | available_policies : policy_id , policy_type_code , customer_phone | customers_policies : customer_id , policy_id , date_opened , date_closed | first_notification_of_loss : fnol_id , customer_id , policy_id , service_id | claims : claim_id , fnol_id , effective_date | settlements : settlement_id , claim_id , effective_date , settlement_amount | customers_policies.policy_id = available_policies.policy_id | customers_policies.customer_id = customers.customer_id | first_notification_of_loss.customer_id = customers_policies.customer_id | first_notification_of_loss.policy_id = customers_policies.policy_id | first_notification_of_loss.service_id = services.service_id | claims.fnol_id = first_notification_of_loss.fnol_id | settlements.claim_id = claims.claim_id | 

### Response:

select sum ( _ ) , avg ( _ ) from _ | select sum ( settlement_amount ) , avg ( settlement_amount ) from settlements
### Instruction:

Convert text to sql: Find the name of services that have been used for more than 2 times in first notification of loss. | customers : customer_id , customer_name | services : service_id , service_name | available_policies : policy_id , policy_type_code , customer_phone | customers_policies : customer_id , policy_id , date_opened , date_closed | first_notification_of_loss : fnol_id , customer_id , policy_id , service_id | claims : claim_id , fnol_id , effective_date | settlements : settlement_id , claim_id , effective_date , settlement_amount | customers_policies.policy_id = available_policies.policy_id | customers_policies.customer_id = customers.customer_id | first_notification_of_loss.customer_id = customers_policies.customer_id | first_notification_of_loss.policy_id = customers_policies.policy_id | first_notification_of_loss.service_id = services.service_id | claims.fnol_id = first_notification_of_loss.fnol_id | settlements.claim_id = claims.claim_id | 

### Response:

select _ from _ group by _ having count ( _ ) > _ | select services.service_name from first_notification_of_loss join services on first_notification_of_loss.service_id = services.service_id group by first_notification_of_loss.service_id having count ( * ) > 2
### Instruction:

Convert text to sql: Which services have been used more than twice in first notification of loss? Return the service name. | customers : customer_id , customer_name | services : service_id , service_name | available_policies : policy_id , policy_type_code , customer_phone | customers_policies : customer_id , policy_id , date_opened , date_closed | first_notification_of_loss : fnol_id , customer_id , policy_id , service_id | claims : claim_id , fnol_id , effective_date | settlements : settlement_id , claim_id , effective_date , settlement_amount | customers_policies.policy_id = available_policies.policy_id | customers_policies.customer_id = customers.customer_id | first_notification_of_loss.customer_id = customers_policies.customer_id | first_notification_of_loss.policy_id = customers_policies.policy_id | first_notification_of_loss.service_id = services.service_id | claims.fnol_id = first_notification_of_loss.fnol_id | settlements.claim_id = claims.claim_id | 

### Response:

select _ from _ group by _ having count ( _ ) > _ | select services.service_name from first_notification_of_loss join services on first_notification_of_loss.service_id = services.service_id group by first_notification_of_loss.service_id having count ( * ) > 2
### Instruction:

Convert text to sql: What is the effective date of the claim that has the largest amount of total settlement? | customers : customer_id , customer_name | services : service_id , service_name | available_policies : policy_id , policy_type_code , customer_phone | customers_policies : customer_id , policy_id , date_opened , date_closed | first_notification_of_loss : fnol_id , customer_id , policy_id , service_id | claims : claim_id , fnol_id , effective_date | settlements : settlement_id , claim_id , effective_date , settlement_amount | customers_policies.policy_id = available_policies.policy_id | customers_policies.customer_id = customers.customer_id | first_notification_of_loss.customer_id = customers_policies.customer_id | first_notification_of_loss.policy_id = customers_policies.policy_id | first_notification_of_loss.service_id = services.service_id | claims.fnol_id = first_notification_of_loss.fnol_id | settlements.claim_id = claims.claim_id | 

### Response:

select _ from _ group by _ order by sum ( _ ) desc limit _ | select claims.effective_date from claims join settlements on claims.claim_id = settlements.claim_id group by claims.claim_id order by sum ( settlements.settlement_amount ) desc limit 1
### Instruction:

Convert text to sql: Find the claim that has the largest total settlement amount. Return the effective date of the claim. | customers : customer_id , customer_name | services : service_id , service_name | available_policies : policy_id , policy_type_code , customer_phone | customers_policies : customer_id , policy_id , date_opened , date_closed | first_notification_of_loss : fnol_id , customer_id , policy_id , service_id | claims : claim_id , fnol_id , effective_date | settlements : settlement_id , claim_id , effective_date , settlement_amount | customers_policies.policy_id = available_policies.policy_id | customers_policies.customer_id = customers.customer_id | first_notification_of_loss.customer_id = customers_policies.customer_id | first_notification_of_loss.policy_id = customers_policies.policy_id | first_notification_of_loss.service_id = services.service_id | claims.fnol_id = first_notification_of_loss.fnol_id | settlements.claim_id = claims.claim_id | 

### Response:

select _ from _ group by _ order by sum ( _ ) desc limit _ | select claims.effective_date from claims join settlements on claims.claim_id = settlements.claim_id group by claims.claim_id order by sum ( settlements.settlement_amount ) desc limit 1
### Instruction:

Convert text to sql: How many policies are listed for the customer named "Dayana Robel"? | customers : customer_id , customer_name | services : service_id , service_name | available_policies : policy_id , policy_type_code , customer_phone | customers_policies : customer_id , policy_id , date_opened , date_closed | first_notification_of_loss : fnol_id , customer_id , policy_id , service_id | claims : claim_id , fnol_id , effective_date | settlements : settlement_id , claim_id , effective_date , settlement_amount | customers_policies.policy_id = available_policies.policy_id | customers_policies.customer_id = customers.customer_id | first_notification_of_loss.customer_id = customers_policies.customer_id | first_notification_of_loss.policy_id = customers_policies.policy_id | first_notification_of_loss.service_id = services.service_id | claims.fnol_id = first_notification_of_loss.fnol_id | settlements.claim_id = claims.claim_id | 

### Response:

select count ( _ ) from _ where _ | select count ( * ) from customers join customers_policies on customers.customer_id = customers_policies.customer_id where customers.customer_name = 'Dayana Robel'
### Instruction:

Convert text to sql: Count the total number of policies used by the customer named "Dayana Robel". | customers : customer_id , customer_name | services : service_id , service_name | available_policies : policy_id , policy_type_code , customer_phone | customers_policies : customer_id , policy_id , date_opened , date_closed | first_notification_of_loss : fnol_id , customer_id , policy_id , service_id | claims : claim_id , fnol_id , effective_date | settlements : settlement_id , claim_id , effective_date , settlement_amount | customers_policies.policy_id = available_policies.policy_id | customers_policies.customer_id = customers.customer_id | first_notification_of_loss.customer_id = customers_policies.customer_id | first_notification_of_loss.policy_id = customers_policies.policy_id | first_notification_of_loss.service_id = services.service_id | claims.fnol_id = first_notification_of_loss.fnol_id | settlements.claim_id = claims.claim_id | 

### Response:

select count ( _ ) from _ where _ | select count ( * ) from customers join customers_policies on customers.customer_id = customers_policies.customer_id where customers.customer_name = 'Dayana Robel'
### Instruction:

Convert text to sql: What is the name of the customer who has the most policies listed? | customers : customer_id , customer_name | services : service_id , service_name | available_policies : policy_id , policy_type_code , customer_phone | customers_policies : customer_id , policy_id , date_opened , date_closed | first_notification_of_loss : fnol_id , customer_id , policy_id , service_id | claims : claim_id , fnol_id , effective_date | settlements : settlement_id , claim_id , effective_date , settlement_amount | customers_policies.policy_id = available_policies.policy_id | customers_policies.customer_id = customers.customer_id | first_notification_of_loss.customer_id = customers_policies.customer_id | first_notification_of_loss.policy_id = customers_policies.policy_id | first_notification_of_loss.service_id = services.service_id | claims.fnol_id = first_notification_of_loss.fnol_id | settlements.claim_id = claims.claim_id | 

### Response:

select _ from _ group by _ order by count ( _ ) desc limit _ | select customers.customer_name from customers join customers_policies on customers.customer_id = customers_policies.customer_id group by customers.customer_name order by count ( * ) desc limit 1