data_source stringclasses 1
value | prompt listlengths 2 2 | ability stringclasses 1
value | reward_model dict | extra_info dict |
|---|---|---|---|---|
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT SUBSTR(T1.OrderDate, -2, 2) FROM `Sales Orders` AS T1 INNER JOIN `Sales Team` AS T2 ON T2.SalesTeamID = T1._SalesTeamID WHERE T2.`Sales Team` = 'George Lewis' GROUP BY SUBSTR(T1.OrderDate, -2, 2) ORDER BY COUNT(T1.OrderNumber) DESC LIMIT 1",
"style": "rule"
} | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT SUBSTR(T1.OrderDate, -2, 2) FROM `Sales Orders` AS T1 INNER JOIN `Sales Team` AS T2 ON T2.SalesTeamID = T1._SalesTeamID WHERE T2.`Sales Team` = 'George Lewis' GROUP BY SUBSTR(T1.OrderDate, -2, 2) ORDER BY COUNT(T1.OrderNumber) DESC LIMIT 1",
"index": 1300,
"... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT CAST(SUM(CASE WHEN T2.County = 'Orange County' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.OrderNumber) FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID WHERE T1.OrderDate LIKE '%/%/18'",
"style": "rule"
} | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT CAST(SUM(CASE WHEN T2.County = 'Orange County' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.OrderNumber) FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID WHERE T1.OrderDate LIKE '%/%/18'",
"index": 1301,
"question": "T... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT _SalesTeamID FROM `Sales Orders` WHERE OrderDate LIKE '%/%/18' GROUP BY _SalesTeamID ORDER BY COUNT(_SalesTeamID) DESC LIMIT 1",
"style": "rule"
} | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT _SalesTeamID FROM `Sales Orders` WHERE OrderDate LIKE '%/%/18' GROUP BY _SalesTeamID ORDER BY COUNT(_SalesTeamID) DESC LIMIT 1",
"index": 1302,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a n... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT ( SELECT REPLACE(`Unit Cost`, ',', '') FROM `Sales Orders` WHERE REPLACE(`Unit Cost`, ',', '') = ( SELECT REPLACE(`Unit Cost`, ',', '') FROM `Sales Orders` ORDER BY REPLACE(`Unit Cost`, ',', '') DESC LIMIT 1 ) ORDER BY REPLACE(`Unit Cost`, ',', '') DESC LIMIT 1 ) / ( SELECT REPLACE(`Unit Cos... | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT ( SELECT REPLACE(`Unit Cost`, ',', '') FROM `Sales Orders` WHERE REPLACE(`Unit Cost`, ',', '') = ( SELECT REPLACE(`Unit Cost`, ',', '') FROM `Sales Orders` ORDER BY REPLACE(`Unit Cost`, ',', '') DESC LIMIT 1 ) ORDER BY REPLACE(`Unit Cost`, ',', '') DESC LIMIT 1 ... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT T2.`Product Name` FROM `Sales Orders` AS T1 INNER JOIN Products AS T2 ON T2.ProductID = T1._ProductID WHERE T1.OrderDate LIKE '%/%/18' GROUP BY T1._ProductID ORDER BY COUNT(T1._ProductID) DESC LIMIT 1",
"style": "rule"
} | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT T2.`Product Name` FROM `Sales Orders` AS T1 INNER JOIN Products AS T2 ON T2.ProductID = T1._ProductID WHERE T1.OrderDate LIKE '%/%/18' GROUP BY T1._ProductID ORDER BY COUNT(T1._ProductID) DESC LIMIT 1",
"index": 1304,
"question": "Task Overview:\nYou are a d... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT SUM(CASE WHEN T2.`Sales Team` = 'Adam Hernandez' THEN 1 ELSE 0 END) FROM `Sales Orders` AS T1 INNER JOIN `Sales Team` AS T2 ON T2.SalesTeamID = T1._SalesTeamID",
"style": "rule"
} | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT SUM(CASE WHEN T2.`Sales Team` = 'Adam Hernandez' THEN 1 ELSE 0 END) FROM `Sales Orders` AS T1 INNER JOIN `Sales Team` AS T2 ON T2.SalesTeamID = T1._SalesTeamID",
"index": 1305,
"question": "Task Overview:\nYou are a data science expert. Below, you are provid... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT T1.OrderNumber FROM `Sales Orders` AS T1 INNER JOIN Customers AS T2 ON T2.CustomerID = T1._CustomerID WHERE T2.`Customer Names` = 'Qualitest ' ORDER BY T1.`Order Quantity` DESC LIMIT 1",
"style": "rule"
} | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT T1.OrderNumber FROM `Sales Orders` AS T1 INNER JOIN Customers AS T2 ON T2.CustomerID = T1._CustomerID WHERE T2.`Customer Names` = 'Qualitest ' ORDER BY T1.`Order Quantity` DESC LIMIT 1",
"index": 1306,
"question": "Task Overview:\nYou are a data science expe... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT DISTINCT T1.OrderNumber, T2.`Product Name` FROM `Sales Orders` AS T1 INNER JOIN Products AS T2 ON T2.ProductID = T1._ProductID WHERE T1.`Sales Channel` = 'In-Store'",
"style": "rule"
} | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT DISTINCT T1.OrderNumber, T2.`Product Name` FROM `Sales Orders` AS T1 INNER JOIN Products AS T2 ON T2.ProductID = T1._ProductID WHERE T1.`Sales Channel` = 'In-Store'",
"index": 1307,
"question": "Task Overview:\nYou are a data science expert. Below, you are p... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT T1.`Product Name` FROM Products AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._ProductID = T1.ProductID INNER JOIN `Store Locations` AS T3 ON T3.StoreID = T2._StoreID WHERE T3.County = 'Maricopa County' ORDER BY T2.`Order Quantity` ASC LIMIT 1",
"style": "rule"
} | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT T1.`Product Name` FROM Products AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._ProductID = T1.ProductID INNER JOIN `Store Locations` AS T3 ON T3.StoreID = T2._StoreID WHERE T3.County = 'Maricopa County' ORDER BY T2.`Order Quantity` ASC LIMIT 1",
"index": 1308,
... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT COUNT(T2.OrderNumber) FROM Products AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._ProductID = T1.ProductID WHERE T1.`Product Name` = 'Baseball' AND T2.OrderDate LIKE '12/%/18'",
"style": "rule"
} | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT COUNT(T2.OrderNumber) FROM Products AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._ProductID = T1.ProductID WHERE T1.`Product Name` = 'Baseball' AND T2.OrderDate LIKE '12/%/18'",
"index": 1309,
"question": "Task Overview:\nYou are a data science expert. Below,... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT DISTINCT T2.StoreID, T1.Region FROM Regions AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StateCode = T1.StateCode WHERE T2.State = 'Michigan'",
"style": "rule"
} | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT DISTINCT T2.StoreID, T1.Region FROM Regions AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StateCode = T1.StateCode WHERE T2.State = 'Michigan'",
"index": 1310,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a databa... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT SUM(CASE WHEN T2.`Customer Names` = 'Apollo Ltd' THEN 1 ELSE 0 END), SUM(CASE WHEN T2.`Customer Names` = 'Pacific Ltd' THEN 1 ELSE 0 END) FROM `Sales Orders` AS T1 INNER JOIN Customers AS T2 ON T2.CustomerID = T1._CustomerID",
"style": "rule"
} | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT SUM(CASE WHEN T2.`Customer Names` = 'Apollo Ltd' THEN 1 ELSE 0 END), SUM(CASE WHEN T2.`Customer Names` = 'Pacific Ltd' THEN 1 ELSE 0 END) FROM `Sales Orders` AS T1 INNER JOIN Customers AS T2 ON T2.CustomerID = T1._CustomerID",
"index": 1311,
"question": "Tas... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT DISTINCT `Customer Names`, CustomerID FROM ( SELECT T2.`Customer Names`, T2.CustomerID , SUM(REPLACE(T1.`Unit Price`, ',', '') - REPLACE(T1.`Unit Cost`, ',', '')) AS T FROM `Sales Orders` T1 INNER JOIN Customers T2 ON T2.CustomerID = T1._CustomerID WHERE T1.`Sales Channel` = 'Online' GROUP B... | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT DISTINCT `Customer Names`, CustomerID FROM ( SELECT T2.`Customer Names`, T2.CustomerID , SUM(REPLACE(T1.`Unit Price`, ',', '') - REPLACE(T1.`Unit Cost`, ',', '')) AS T FROM `Sales Orders` T1 INNER JOIN Customers T2 ON T2.CustomerID = T1._CustomerID WHERE T1.`Sal... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT DISTINCT T FROM ( SELECT IIF(_CustomerID = 11, ProcuredDate, NULL) AS T FROM `Sales Orders` ) WHERE T IS NOT NULL",
"style": "rule"
} | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT DISTINCT T FROM ( SELECT IIF(_CustomerID = 11, ProcuredDate, NULL) AS T FROM `Sales Orders` ) WHERE T IS NOT NULL",
"index": 1313,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural langua... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT SUM(CASE WHEN `Order Quantity` = 1 AND `Sales Channel` = 'Distributor' THEN 1 ELSE 0 END) FROM `Sales Orders`",
"style": "rule"
} | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT SUM(CASE WHEN `Order Quantity` = 1 AND `Sales Channel` = 'Distributor' THEN 1 ELSE 0 END) FROM `Sales Orders`",
"index": 1314,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language q... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT DISTINCT T FROM ( SELECT CASE WHEN `Discount Applied` = '0.1' AND `Sales Channel` = 'In-Store' THEN _SalesTeamID ELSE NULL END AS T FROM `Sales Orders` ) WHERE T IS NOT NULL",
"style": "rule"
} | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT DISTINCT T FROM ( SELECT CASE WHEN `Discount Applied` = '0.1' AND `Sales Channel` = 'In-Store' THEN _SalesTeamID ELSE NULL END AS T FROM `Sales Orders` ) WHERE T IS NOT NULL",
"index": 1315,
"question": "Task Overview:\nYou are a data science expert. Below,... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT SUM(CASE WHEN Population < 3000000 AND Type = 'Borough' AND `City Name` = 'Brooklyn' THEN 1 ELSE 0 END) FROM `Store Locations`",
"style": "rule"
} | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT SUM(CASE WHEN Population < 3000000 AND Type = 'Borough' AND `City Name` = 'Brooklyn' THEN 1 ELSE 0 END) FROM `Store Locations`",
"index": 1316,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a n... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT COUNT(DISTINCT T) FROM ( SELECT CASE WHEN Region = 'Midwest' THEN State ELSE NULL END AS T FROM Regions ) WHERE T IS NOT NULL",
"style": "rule"
} | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT COUNT(DISTINCT T) FROM ( SELECT CASE WHEN Region = 'Midwest' THEN State ELSE NULL END AS T FROM Regions ) WHERE T IS NOT NULL",
"index": 1317,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a n... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT T2.`Product Name` FROM `Sales Orders` AS T1 INNER JOIN Products AS T2 ON T2.ProductID = T1._ProductID GROUP BY T1._ProductID ORDER BY SUM(REPLACE(T1.`Unit Price`, ',', '') - REPLACE(T1.`Unit Cost`, ',', '')) DESC LIMIT 10",
"style": "rule"
} | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT T2.`Product Name` FROM `Sales Orders` AS T1 INNER JOIN Products AS T2 ON T2.ProductID = T1._ProductID GROUP BY T1._ProductID ORDER BY SUM(REPLACE(T1.`Unit Price`, ',', '') - REPLACE(T1.`Unit Cost`, ',', '')) DESC LIMIT 10",
"index": 1318,
"question": "Task O... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT T FROM ( SELECT DISTINCT CASE WHEN T2.`Order Quantity` = 3 AND T2.OrderDate LIKE '2/%/18' THEN T1.`Customer Names` END AS T FROM Customers T1 INNER JOIN `Sales Orders` T2 ON T2._CustomerID = T1.CustomerID ) WHERE T IS NOT NULL",
"style": "rule"
} | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT T FROM ( SELECT DISTINCT CASE WHEN T2.`Order Quantity` = 3 AND T2.OrderDate LIKE '2/%/18' THEN T1.`Customer Names` END AS T FROM Customers T1 INNER JOIN `Sales Orders` T2 ON T2._CustomerID = T1.CustomerID ) WHERE T IS NOT NULL",
"index": 1319,
"question": "... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT T FROM ( SELECT DISTINCT CASE WHEN T3.WarehouseCode = 'WARE-UHY1004' THEN T1.Region END AS T FROM Regions T1 INNER JOIN `Store Locations` T2 ON T2.StateCode = T1.StateCode INNER JOIN `Sales Orders` T3 ON T3._StoreID = T2.StoreID ) WHERE T IS NOT NULL",
"style": "rule"
} | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT T FROM ( SELECT DISTINCT CASE WHEN T3.WarehouseCode = 'WARE-UHY1004' THEN T1.Region END AS T FROM Regions T1 INNER JOIN `Store Locations` T2 ON T2.StateCode = T1.StateCode INNER JOIN `Sales Orders` T3 ON T3._StoreID = T2.StoreID ) WHERE T IS NOT NULL",
"index... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT T3.`Product Name`, T1.`Customer Names` FROM Customers AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._CustomerID = T1.CustomerID INNER JOIN Products AS T3 ON T3.ProductID = T2._ProductID WHERE T2.OrderDate = '10/21/18' AND T2.DeliveryDate = '11/21/19'",
"style": "rule"
} | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT T3.`Product Name`, T1.`Customer Names` FROM Customers AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._CustomerID = T1.CustomerID INNER JOIN Products AS T3 ON T3.ProductID = T2._ProductID WHERE T2.OrderDate = '10/21/18' AND T2.DeliveryDate = '11/21/19'",
"index": ... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT SUM(CASE WHEN T1.ProcuredDate = '10/27/18' AND T2.`City Name` = 'Orlando' THEN 1 ELSE 0 END) FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID",
"style": "rule"
} | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT SUM(CASE WHEN T1.ProcuredDate = '10/27/18' AND T2.`City Name` = 'Orlando' THEN 1 ELSE 0 END) FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID",
"index": 1322,
"question": "Task Overview:\nYou are a data science expert.... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT `Sales Channel` FROM ( SELECT T1.`Sales Channel` FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID ORDER BY T2.`Median Income` DESC LIMIT 3 ) GROUP BY `Sales Channel` ORDER BY COUNT(`Sales Channel`) DESC LIMIT 1",
"style": "rule"
} | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT `Sales Channel` FROM ( SELECT T1.`Sales Channel` FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID ORDER BY T2.`Median Income` DESC LIMIT 3 ) GROUP BY `Sales Channel` ORDER BY COUNT(`Sales Channel`) DESC LIMIT 1",
"index"... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT COUNT(DISTINCT T2.`Time Zone`) FROM Regions AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StateCode = T1.StateCode WHERE T1.Region = 'Northeast'",
"style": "rule"
} | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT COUNT(DISTINCT T2.`Time Zone`) FROM Regions AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StateCode = T1.StateCode WHERE T1.Region = 'Northeast'",
"index": 1324,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a data... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT DISTINCT CASE WHEN MAX(T2.Population) THEN T2.Type END FROM Regions AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StateCode = T1.StateCode",
"style": "rule"
} | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT DISTINCT CASE WHEN MAX(T2.Population) THEN T2.Type END FROM Regions AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StateCode = T1.StateCode",
"index": 1325,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database s... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT SUM(CASE WHEN T1.`Sales Channel` = 'Online' AND T2.`Customer Names` = 'Ole Group' AND T1.OrderDate LIKE '5/%/19' THEN 1 ELSE 0 END) FROM `Sales Orders` AS T1 INNER JOIN Customers AS T2 ON T2.CustomerID = T1._CustomerID",
"style": "rule"
} | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT SUM(CASE WHEN T1.`Sales Channel` = 'Online' AND T2.`Customer Names` = 'Ole Group' AND T1.OrderDate LIKE '5/%/19' THEN 1 ELSE 0 END) FROM `Sales Orders` AS T1 INNER JOIN Customers AS T2 ON T2.CustomerID = T1._CustomerID",
"index": 1326,
"question": "Task Over... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT T1.`Product Name` FROM Products AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._ProductID = T1.ProductID INNER JOIN `Store Locations` AS T3 ON T3.StoreID = T2._StoreID WHERE T3.`City Name` = 'Santa Clarita' GROUP BY T1.`Product Name` ORDER BY COUNT(T1.`Product Name`) ASC LIMIT 1",
"style": "r... | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT T1.`Product Name` FROM Products AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._ProductID = T1.ProductID INNER JOIN `Store Locations` AS T3 ON T3.StoreID = T2._StoreID WHERE T3.`City Name` = 'Santa Clarita' GROUP BY T1.`Product Name` ORDER BY COUNT(T1.`Product Name... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT T2.Latitude, T2.Longitude FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID WHERE T1.WarehouseCode = 'WARE-PUJ1005' GROUP BY T2.StoreID ORDER BY COUNT(T1.WarehouseCode) ASC LIMIT 1",
"style": "rule"
} | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT T2.Latitude, T2.Longitude FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID WHERE T1.WarehouseCode = 'WARE-PUJ1005' GROUP BY T2.StoreID ORDER BY COUNT(T1.WarehouseCode) ASC LIMIT 1",
"index": 1328,
"question": "Task Ove... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT DISTINCT T FROM ( SELECT CASE WHEN OrderDate > '1/1/18' THEN OrderNumber ELSE NULL END AS T FROM `Sales Orders` ) WHERE T IS NOT NULL",
"style": "rule"
} | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT DISTINCT T FROM ( SELECT CASE WHEN OrderDate > '1/1/18' THEN OrderNumber ELSE NULL END AS T FROM `Sales Orders` ) WHERE T IS NOT NULL",
"index": 1329,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT T1.OrderNumber, T1.OrderDate FROM `Sales Orders` AS T1 INNER JOIN Customers AS T2 ON T2.CustomerID = T1._CustomerID WHERE T2.`Customer Names` = 'Apollo Ltd' ORDER BY T1.`Unit Price` DESC LIMIT 1",
"style": "rule"
} | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT T1.OrderNumber, T1.OrderDate FROM `Sales Orders` AS T1 INNER JOIN Customers AS T2 ON T2.CustomerID = T1._CustomerID WHERE T2.`Customer Names` = 'Apollo Ltd' ORDER BY T1.`Unit Price` DESC LIMIT 1",
"index": 1330,
"question": "Task Overview:\nYou are a data sc... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT DISTINCT T1.OrderNumber, T1.WarehouseCode FROM `Sales Orders` AS T1 INNER JOIN Customers AS T2 ON T2.CustomerID = T1._CustomerID WHERE T2.`Customer Names` = 'Elorac, Corp'",
"style": "rule"
} | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT DISTINCT T1.OrderNumber, T1.WarehouseCode FROM `Sales Orders` AS T1 INNER JOIN Customers AS T2 ON T2.CustomerID = T1._CustomerID WHERE T2.`Customer Names` = 'Elorac, Corp'",
"index": 1331,
"question": "Task Overview:\nYou are a data science expert. Below, yo... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT T FROM ( SELECT DISTINCT CASE WHEN T3.`Product Name` = 'Cocktail Glasses' AND T2.`Sales Channel` = 'Online' THEN T1.`Customer Names` END AS T FROM Customers T1 INNER JOIN `Sales Orders` T2 ON T2._CustomerID = T1.CustomerID INNER JOIN Products T3 ON T3.ProductID = T2._ProductID ) WHERE T IS ... | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT T FROM ( SELECT DISTINCT CASE WHEN T3.`Product Name` = 'Cocktail Glasses' AND T2.`Sales Channel` = 'Online' THEN T1.`Customer Names` END AS T FROM Customers T1 INNER JOIN `Sales Orders` T2 ON T2._CustomerID = T1.CustomerID INNER JOIN Products T3 ON T3.ProductID... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT SUM(CASE WHEN T3.State = 'Florida' THEN T2.`Unit Price` ELSE 0 END) - SUM(CASE WHEN T3.State = 'Texas' THEN T2.`Unit Price` ELSE 0 END) FROM Products AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._ProductID = T1.ProductID INNER JOIN `Store Locations` AS T3 ON T3.StoreID = T2._StoreID WHERE T1.... | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT SUM(CASE WHEN T3.State = 'Florida' THEN T2.`Unit Price` ELSE 0 END) - SUM(CASE WHEN T3.State = 'Texas' THEN T2.`Unit Price` ELSE 0 END) FROM Products AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._ProductID = T1.ProductID INNER JOIN `Store Locations` AS T3 ON T3.S... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT DISTINCT T2.`Sales Team` FROM `Sales Orders` AS T1 INNER JOIN `Sales Team` AS T2 ON T2.SalesTeamID = T1._SalesTeamID WHERE T2.Region = 'Midwest' AND T1.`Order Quantity` > 5",
"style": "rule"
} | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT DISTINCT T2.`Sales Team` FROM `Sales Orders` AS T1 INNER JOIN `Sales Team` AS T2 ON T2.SalesTeamID = T1._SalesTeamID WHERE T2.Region = 'Midwest' AND T1.`Order Quantity` > 5",
"index": 1334,
"question": "Task Overview:\nYou are a data science expert. Below, y... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT T FROM ( SELECT DISTINCT CASE WHEN T2.State = 'California' AND T1.`Sales Channel` = 'In-Store' AND T1.`Discount Applied` = 0.2 THEN T2.StoreID END AS T FROM `Sales Orders` T1 INNER JOIN `Store Locations` T2 ON T2.StoreID = T1._StoreID ) WHERE T IS NOT NULL",
"style": "rule"
} | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT T FROM ( SELECT DISTINCT CASE WHEN T2.State = 'California' AND T1.`Sales Channel` = 'In-Store' AND T1.`Discount Applied` = 0.2 THEN T2.StoreID END AS T FROM `Sales Orders` T1 INNER JOIN `Store Locations` T2 ON T2.StoreID = T1._StoreID ) WHERE T IS NOT NULL",
... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT T1.`Customer Names` FROM Customers AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._CustomerID = T1.CustomerID WHERE T2.OrderDate LIKE '%/%/18' OR T2.OrderDate LIKE '%/%/19' OR T2.OrderDate LIKE '%/%/20' ORDER BY T2.`Order Quantity` DESC LIMIT 1",
"style": "rule"
} | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT T1.`Customer Names` FROM Customers AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._CustomerID = T1.CustomerID WHERE T2.OrderDate LIKE '%/%/18' OR T2.OrderDate LIKE '%/%/19' OR T2.OrderDate LIKE '%/%/20' ORDER BY T2.`Order Quantity` DESC LIMIT 1",
"index": 1336,
... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT T FROM ( SELECT DISTINCT CASE WHEN `Sales Team` = 'Joshua Bennett' THEN Region ELSE NULL END AS T FROM `Sales Team` ) WHERE T IS NOT NULL",
"style": "rule"
} | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT T FROM ( SELECT DISTINCT CASE WHEN `Sales Team` = 'Joshua Bennett' THEN Region ELSE NULL END AS T FROM `Sales Team` ) WHERE T IS NOT NULL",
"index": 1337,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database sc... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT CASE WHEN MAX(Population) THEN StoreID END FROM `Store Locations`",
"style": "rule"
} | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT CASE WHEN MAX(Population) THEN StoreID END FROM `Store Locations`",
"index": 1338,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the sche... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT SUM(CASE WHEN Region = 'Midwest' THEN 1 ELSE 0 END) FROM `Sales Team`",
"style": "rule"
} | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT SUM(CASE WHEN Region = 'Midwest' THEN 1 ELSE 0 END) FROM `Sales Team`",
"index": 1339,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the ... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT SUM(IIF(ShipDate LIKE '6/%/18' AND `Sales Channel` = 'Online', 1, 0)) FROM `Sales Orders`",
"style": "rule"
} | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT SUM(IIF(ShipDate LIKE '6/%/18' AND `Sales Channel` = 'Online', 1, 0)) FROM `Sales Orders`",
"index": 1340,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task i... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT `Discount Applied` FROM `Sales Orders` WHERE REPLACE(`Unit Price`, ',', '') = ( SELECT REPLACE(`Unit Price`, ',', '') FROM `Sales Orders` ORDER BY REPLACE(`Unit Price`, ',', '') DESC LIMIT 1 ) ORDER BY REPLACE(`Unit Price`, ',', '') DESC LIMIT 1",
"style": "rule"
} | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT `Discount Applied` FROM `Sales Orders` WHERE REPLACE(`Unit Price`, ',', '') = ( SELECT REPLACE(`Unit Price`, ',', '') FROM `Sales Orders` ORDER BY REPLACE(`Unit Price`, ',', '') DESC LIMIT 1 ) ORDER BY REPLACE(`Unit Price`, ',', '') DESC LIMIT 1",
"index": 134... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT T2.`Product Name` FROM `Sales Orders` AS T1 INNER JOIN Products AS T2 ON T2.ProductID = T1._ProductID ORDER BY REPLACE(T1.`Unit Price`, ',', '') - REPLACE(T1.`Unit Cost`, ',', '') DESC LIMIT 1",
"style": "rule"
} | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT T2.`Product Name` FROM `Sales Orders` AS T1 INNER JOIN Products AS T2 ON T2.ProductID = T1._ProductID ORDER BY REPLACE(T1.`Unit Price`, ',', '') - REPLACE(T1.`Unit Cost`, ',', '') DESC LIMIT 1",
"index": 1342,
"question": "Task Overview:\nYou are a data scie... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT `Customer Names` FROM ( SELECT T1.`Customer Names` , REPLACE(T2.`Unit Price`, ',', '') * T2.`Order Quantity` - REPLACE(T2.`Unit Price`, ',', '') * T2.`Discount Applied` AS T FROM Customers T1 INNER JOIN `Sales Orders` T2 ON T2._CustomerID = T1.CustomerID ) ORDER BY T DESC LIMIT 3",
"style"... | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT `Customer Names` FROM ( SELECT T1.`Customer Names` , REPLACE(T2.`Unit Price`, ',', '') * T2.`Order Quantity` - REPLACE(T2.`Unit Price`, ',', '') * T2.`Discount Applied` AS T FROM Customers T1 INNER JOIN `Sales Orders` T2 ON T2._CustomerID = T1.CustomerID ) ORDER... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT T FROM ( SELECT DISTINCT CASE WHEN T2.OrderNumber = 'SO - 0005951' THEN T1.`Product Name` ELSE NULL END AS T FROM Products T1 INNER JOIN `Sales Orders` T2 ON T2._ProductID = T1.ProductID ) WHERE T IS NOT NULL",
"style": "rule"
} | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT T FROM ( SELECT DISTINCT CASE WHEN T2.OrderNumber = 'SO - 0005951' THEN T1.`Product Name` ELSE NULL END AS T FROM Products T1 INNER JOIN `Sales Orders` T2 ON T2._ProductID = T1.ProductID ) WHERE T IS NOT NULL",
"index": 1344,
"question": "Task Overview:\nYo... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT SUM(CASE WHEN T2.`City Name` = 'Chandler' AND T1.OrderDate LIKE '%/%/20' THEN 1 ELSE 0 END) FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID",
"style": "rule"
} | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT SUM(CASE WHEN T2.`City Name` = 'Chandler' AND T1.OrderDate LIKE '%/%/20' THEN 1 ELSE 0 END) FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID",
"index": 1345,
"question": "Task Overview:\nYou are a data science expert. ... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT AVG(`Household Income`) FROM `Store Locations` WHERE `City Name` = 'Glendale'",
"style": "rule"
} | {
"db_id": "regional_sales.sqlite",
"gt_sql": "SELECT AVG(`Household Income`) FROM `Store Locations` WHERE `City Name` = 'Glendale'",
"index": 1346,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to underst... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT COUNT(*) FROM matchs WHERE season = 2008 AND AwayTeam = 'Ebbsfleet' AND FTR = 'D'",
"style": "rule"
} | {
"db_id": "european_football_1.sqlite",
"gt_sql": "SELECT COUNT(*) FROM matchs WHERE season = 2008 AND AwayTeam = 'Ebbsfleet' AND FTR = 'D'",
"index": 1347,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is t... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT CAST(COUNT(CASE WHEN FTR = 'H' THEN 1 ELSE NULL END) / COUNT(HomeTeam) AS REAL) * 100, CAST(COUNT(CASE WHEN FTR = 'A' THEN 1 ELSE NULL END) AS REAL) / COUNT(HomeTeam), CAST(COUNT(CASE WHEN FTR = 'D' THEN 1 ELSE NULL END) AS REAL) / COUNT(HomeTeam) FROM matchs WHERE HomeTeam = 'Cittadella'",
... | {
"db_id": "european_football_1.sqlite",
"gt_sql": "SELECT CAST(COUNT(CASE WHEN FTR = 'H' THEN 1 ELSE NULL END) / COUNT(HomeTeam) AS REAL) * 100, CAST(COUNT(CASE WHEN FTR = 'A' THEN 1 ELSE NULL END) AS REAL) / COUNT(HomeTeam), CAST(COUNT(CASE WHEN FTR = 'D' THEN 1 ELSE NULL END) AS REAL) / COUNT(HomeTeam) FROM matc... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT AwayTeam FROM matchs WHERE HomeTeam = 'Caen' AND season = 2010 AND FTR = 'A' GROUP BY AwayTeam ORDER BY COUNT(AwayTeam) DESC LIMIT 1",
"style": "rule"
} | {
"db_id": "european_football_1.sqlite",
"gt_sql": "SELECT AwayTeam FROM matchs WHERE HomeTeam = 'Caen' AND season = 2010 AND FTR = 'A' GROUP BY AwayTeam ORDER BY COUNT(AwayTeam) DESC LIMIT 1",
"index": 1349,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database sch... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT CAST(SUM(CASE WHEN HomeTeam = 'Sassuolo' OR AwayTeam = 'Sassuolo' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(FTR) FROM matchs WHERE FTR = 'D'",
"style": "rule"
} | {
"db_id": "european_football_1.sqlite",
"gt_sql": "SELECT CAST(SUM(CASE WHEN HomeTeam = 'Sassuolo' OR AwayTeam = 'Sassuolo' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(FTR) FROM matchs WHERE FTR = 'D'",
"index": 1350,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a data... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT T1.HomeTeam,T1.AwayTeam FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div=T2.division WHERE T2.name = 'EFL League One' and T1.Div = 'E2' ",
"style": "rule"
} | {
"db_id": "european_football_1.sqlite",
"gt_sql": "SELECT T1.HomeTeam,T1.AwayTeam FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div=T2.division WHERE T2.name = 'EFL League One' and T1.Div = 'E2' ",
"index": 1351,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a da... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT COUNT(T1.Div) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.season = 2019 AND T2.name = 'Scottish Championship' AND T1.FTAG = 2 AND T1.FTHG = 2",
"style": "rule"
} | {
"db_id": "european_football_1.sqlite",
"gt_sql": "SELECT COUNT(T1.Div) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.season = 2019 AND T2.name = 'Scottish Championship' AND T1.FTAG = 2 AND T1.FTHG = 2",
"index": 1352,
"question": "Task Overview:\nYou are a data science expert. ... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT T1.HomeTeam HWHT , CAST(COUNT(CASE WHEN T1.FTR = 'H' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(HomeTeam) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'LaLiga' AND T2.country = 'Spain' AND T1.season = 2017",
"style": "rule"
} | {
"db_id": "european_football_1.sqlite",
"gt_sql": "SELECT T1.HomeTeam HWHT , CAST(COUNT(CASE WHEN T1.FTR = 'H' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(HomeTeam) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'LaLiga' AND T2.country = 'Spain' AND T1.season = 2017",
"inde... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT ( SELECT MAX(MAX(FTAG), MAX(FTHG)) FROM matchs WHERE season = 2021 ) AS T1, AwayTeam FROM matchs WHERE season = 2021 AND FTHG = T1 OR FTAG = T1",
"style": "rule"
} | {
"db_id": "european_football_1.sqlite",
"gt_sql": "SELECT ( SELECT MAX(MAX(FTAG), MAX(FTHG)) FROM matchs WHERE season = 2021 ) AS T1, AwayTeam FROM matchs WHERE season = 2021 AND FTHG = T1 OR FTAG = T1",
"index": 1354,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a d... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT HomeTeam FROM matchs WHERE Div = 'P1' AND season = 2021 ORDER BY FTHG DESC LIMIT 1",
"style": "rule"
} | {
"db_id": "european_football_1.sqlite",
"gt_sql": "SELECT HomeTeam FROM matchs WHERE Div = 'P1' AND season = 2021 ORDER BY FTHG DESC LIMIT 1",
"index": 1355,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is ... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT Div FROM matchs WHERE season = 2008 AND FTR = 'D' GROUP BY Div ORDER BY COUNT(FTR) DESC LIMIT 1",
"style": "rule"
} | {
"db_id": "european_football_1.sqlite",
"gt_sql": "SELECT Div FROM matchs WHERE season = 2008 AND FTR = 'D' GROUP BY Div ORDER BY COUNT(FTR) DESC LIMIT 1",
"index": 1356,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. ... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT T1.AwayTeam FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div=T2.division WHERE T2.name = 'Bundesliga' ORDER BY T1.FTAG DESC LIMIT 1",
"style": "rule"
} | {
"db_id": "european_football_1.sqlite",
"gt_sql": "SELECT T1.AwayTeam FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div=T2.division WHERE T2.name = 'Bundesliga' ORDER BY T1.FTAG DESC LIMIT 1",
"index": 1357,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a databas... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT COUNT(T1.HomeTeam) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'LaLiga' AND T1.HomeTeam = 'Valencia' AND T1.FTR = 'H'",
"style": "rule"
} | {
"db_id": "european_football_1.sqlite",
"gt_sql": "SELECT COUNT(T1.HomeTeam) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'LaLiga' AND T1.HomeTeam = 'Valencia' AND T1.FTR = 'H'",
"index": 1358,
"question": "Task Overview:\nYou are a data science expert. Below, you are pr... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT COUNT(division) FROM divisions WHERE country = 'England'",
"style": "rule"
} | {
"db_id": "european_football_1.sqlite",
"gt_sql": "SELECT COUNT(division) FROM divisions WHERE country = 'England'",
"index": 1359,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema a... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT FTHG, FTAG FROM matchs WHERE Date = '2009-04-26' AND HomeTeam = 'Bursaspor' AND AwayTeam = 'Denizlispor'",
"style": "rule"
} | {
"db_id": "european_football_1.sqlite",
"gt_sql": "SELECT FTHG, FTAG FROM matchs WHERE Date = '2009-04-26' AND HomeTeam = 'Bursaspor' AND AwayTeam = 'Denizlispor'",
"index": 1360,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language q... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT CASE WHEN T1.FTR = 'H' THEN T1.HomeTeam ELSE T1.AwayTeam END WINNER FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'Ligue 2' ORDER BY T1.FTAG + T1.FTHG DESC LIMIT 1",
"style": "rule"
} | {
"db_id": "european_football_1.sqlite",
"gt_sql": "SELECT CASE WHEN T1.FTR = 'H' THEN T1.HomeTeam ELSE T1.AwayTeam END WINNER FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'Ligue 2' ORDER BY T1.FTAG + T1.FTHG DESC LIMIT 1",
"index": 1361,
"question": "Task Overview:\nYou ... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT COUNT(T1.FTR) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'LaLiga 2' AND T1.Date = '2016-03-27' AND T1.FTR = 'A'",
"style": "rule"
} | {
"db_id": "european_football_1.sqlite",
"gt_sql": "SELECT COUNT(T1.FTR) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'LaLiga 2' AND T1.Date = '2016-03-27' AND T1.FTR = 'A'",
"index": 1362,
"question": "Task Overview:\nYou are a data science expert. Below, you are provide... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT T2.country FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division GROUP BY T2.country ORDER BY SUM(T1.FTAG) DESC LIMIT 1",
"style": "rule"
} | {
"db_id": "european_football_1.sqlite",
"gt_sql": "SELECT T2.country FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division GROUP BY T2.country ORDER BY SUM(T1.FTAG) DESC LIMIT 1",
"index": 1363,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database s... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT T2.division, T2.name FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.season = 2011 AND T1.FTHG = 1 AND T1.FTAG = 8",
"style": "rule"
} | {
"db_id": "european_football_1.sqlite",
"gt_sql": "SELECT T2.division, T2.name FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.season = 2011 AND T1.FTHG = 1 AND T1.FTAG = 8",
"index": 1364,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a ... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT T2.division, T2.name FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.Date = '2020-02-22' AND T1.FTAG + T1.FTHG > 5 ORDER BY T1.FTAG + T1.FTHG DESC LIMIT 1",
"style": "rule"
} | {
"db_id": "european_football_1.sqlite",
"gt_sql": "SELECT T2.division, T2.name FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.Date = '2020-02-22' AND T1.FTAG + T1.FTHG > 5 ORDER BY T1.FTAG + T1.FTHG DESC LIMIT 1",
"index": 1365,
"question": "Task Overview:\nYou are a data science... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT COUNT(DISTINCT T1.HomeTeam) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'Eredivisie' AND T1.season = 2008",
"style": "rule"
} | {
"db_id": "european_football_1.sqlite",
"gt_sql": "SELECT COUNT(DISTINCT T1.HomeTeam) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'Eredivisie' AND T1.season = 2008",
"index": 1366,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with ... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT CAST(COUNT(CASE WHEN T1.FTR = 'H' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T1.FTR) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.season = 2021 AND T2.name = 'Bundesliga'",
"style": "rule"
} | {
"db_id": "european_football_1.sqlite",
"gt_sql": "SELECT CAST(COUNT(CASE WHEN T1.FTR = 'H' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T1.FTR) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.season = 2021 AND T2.name = 'Bundesliga'",
"index": 1367,
"question": "Task Overview:\nY... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT T1.HomeTeam FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.Date = '2020-10-02' AND T2.name = 'Bundesliga'",
"style": "rule"
} | {
"db_id": "european_football_1.sqlite",
"gt_sql": "SELECT T1.HomeTeam FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.Date = '2020-10-02' AND T2.name = 'Bundesliga'",
"index": 1368,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT CASE WHEN T1.FTR = 'H' THEN T1.HomeTeam WHEN T1.FTR = 'A' THEN T1.AwayTeam END WINNER FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.Date = '2020-10-02' AND T2.name = 'Bundesliga'",
"style": "rule"
} | {
"db_id": "european_football_1.sqlite",
"gt_sql": "SELECT CASE WHEN T1.FTR = 'H' THEN T1.HomeTeam WHEN T1.FTR = 'A' THEN T1.AwayTeam END WINNER FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.Date = '2020-10-02' AND T2.name = 'Bundesliga'",
"index": 1369,
"question": "Task Overvie... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT COUNT(T1.Div) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'Bundesliga' AND T1.AwayTeam = 'Werder Bremen' AND T1.FTR = 'A'",
"style": "rule"
} | {
"db_id": "european_football_1.sqlite",
"gt_sql": "SELECT COUNT(T1.Div) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'Bundesliga' AND T1.AwayTeam = 'Werder Bremen' AND T1.FTR = 'A'",
"index": 1370,
"question": "Task Overview:\nYou are a data science expert. Below, you ar... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT COUNT(T1.Div) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'Bundesliga' AND T1.FTR = 'A' AND T1.season = 2021",
"style": "rule"
} | {
"db_id": "european_football_1.sqlite",
"gt_sql": "SELECT COUNT(T1.Div) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'Bundesliga' AND T1.FTR = 'A' AND T1.season = 2021",
"index": 1371,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided wi... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT COUNT(T1.Div) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'Bundesliga' AND T1.FTR = 'D'",
"style": "rule"
} | {
"db_id": "european_football_1.sqlite",
"gt_sql": "SELECT COUNT(T1.Div) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'Bundesliga' AND T1.FTR = 'D'",
"index": 1372,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema ... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT DISTINCT T1.HomeTeam FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.season = 2021 AND T1.FTR = 'H' AND T2.name = 'Bundesliga'",
"style": "rule"
} | {
"db_id": "european_football_1.sqlite",
"gt_sql": "SELECT DISTINCT T1.HomeTeam FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.season = 2021 AND T1.FTR = 'H' AND T2.name = 'Bundesliga'",
"index": 1373,
"question": "Task Overview:\nYou are a data science expert. Below, you are prov... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT CASE WHEN COUNT(CASE WHEN T1.HomeTeam = 'Augsburg' THEN 1 ELSE NULL END) - COUNT(CASE WHEN T1.HomeTeam = ' Mainz' THEN 1 ELSE NULL END) > 0 THEN 'Augsburg' ELSE 'Mainz' END FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.season = 2021 AND T1.FTR = 'H'",
"style... | {
"db_id": "european_football_1.sqlite",
"gt_sql": "SELECT CASE WHEN COUNT(CASE WHEN T1.HomeTeam = 'Augsburg' THEN 1 ELSE NULL END) - COUNT(CASE WHEN T1.HomeTeam = ' Mainz' THEN 1 ELSE NULL END) > 0 THEN 'Augsburg' ELSE 'Mainz' END FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.season... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT SUM(T1.FTHG) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'Bundesliga' AND T1.season = 2021",
"style": "rule"
} | {
"db_id": "european_football_1.sqlite",
"gt_sql": "SELECT SUM(T1.FTHG) FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T2.name = 'Bundesliga' AND T1.season = 2021",
"index": 1375,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database sche... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT CAST(homeWon AS REAL) * 100 / won FROM teams",
"style": "rule"
} | {
"db_id": "professional_basketball.sqlite",
"gt_sql": "SELECT CAST(homeWon AS REAL) * 100 / won FROM teams",
"index": 1376,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and gene... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT CAST(SUM(CASE WHEN rank = 1 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(name) FROM teams",
"style": "rule"
} | {
"db_id": "professional_basketball.sqlite",
"gt_sql": "SELECT CAST(SUM(CASE WHEN rank = 1 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(name) FROM teams",
"index": 1377,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your ... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT coachID, won, lost FROM coaches WHERE year = 1950 AND tmID = 'BOS'",
"style": "rule"
} | {
"db_id": "professional_basketball.sqlite",
"gt_sql": "SELECT coachID, won, lost FROM coaches WHERE year = 1950 AND tmID = 'BOS'",
"index": 1378,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understan... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT coachID, tmID FROM coaches WHERE year BETWEEN 1970 AND 1980 ORDER BY stint DESC LIMIT 1",
"style": "rule"
} | {
"db_id": "professional_basketball.sqlite",
"gt_sql": "SELECT coachID, tmID FROM coaches WHERE year BETWEEN 1970 AND 1980 ORDER BY stint DESC LIMIT 1",
"index": 1379,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT T1.coachID, T2.name, T2.won FROM coaches AS T1 INNER JOIN teams AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year WHERE T1.year = 2000 AND T2.won > 50",
"style": "rule"
} | {
"db_id": "professional_basketball.sqlite",
"gt_sql": "SELECT T1.coachID, T2.name, T2.won FROM coaches AS T1 INNER JOIN teams AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year WHERE T1.year = 2000 AND T2.won > 50",
"index": 1380,
"question": "Task Overview:\nYou are a data science expert. Below, you are provide... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT T2.name, T1.year, T2.o_pts FROM coaches AS T1 INNER JOIN teams AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year WHERE T1.year BETWEEN 1990 AND 1995 AND T1.coachID = 'adelmri01'",
"style": "rule"
} | {
"db_id": "professional_basketball.sqlite",
"gt_sql": "SELECT T2.name, T1.year, T2.o_pts FROM coaches AS T1 INNER JOIN teams AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year WHERE T1.year BETWEEN 1990 AND 1995 AND T1.coachID = 'adelmri01'",
"index": 1381,
"question": "Task Overview:\nYou are a data science exp... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT COUNT(DISTINCT T1.playerID) FROM players AS T1 INNER JOIN awards_players AS T2 ON T1.playerID = T2.playerID WHERE T1.birthState = 'NY' AND T2.award = 'All-Defensive First Team' AND T2.year BETWEEN 1980 AND 2000",
"style": "rule"
} | {
"db_id": "professional_basketball.sqlite",
"gt_sql": "SELECT COUNT(DISTINCT T1.playerID) FROM players AS T1 INNER JOIN awards_players AS T2 ON T1.playerID = T2.playerID WHERE T1.birthState = 'NY' AND T2.award = 'All-Defensive First Team' AND T2.year BETWEEN 1980 AND 2000",
"index": 1382,
"question": "Task Ove... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT T1.birthDate FROM players AS T1 INNER JOIN player_allstar AS T2 ON T1.playerID = T2.playerID WHERE T2.season_id = 1985 ORDER BY T2.assists DESC LIMIT 1",
"style": "rule"
} | {
"db_id": "professional_basketball.sqlite",
"gt_sql": "SELECT T1.birthDate FROM players AS T1 INNER JOIN player_allstar AS T2 ON T1.playerID = T2.playerID WHERE T2.season_id = 1985 ORDER BY T2.assists DESC LIMIT 1",
"index": 1383,
"question": "Task Overview:\nYou are a data science expert. Below, you are provi... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT SUM(T2.minutes) FROM players AS T1 INNER JOIN player_allstar AS T2 ON T1.playerID = T2.playerID WHERE T1.birthCity = 'Brooklyn' AND T1.nameNick LIKE '%Superman%'",
"style": "rule"
} | {
"db_id": "professional_basketball.sqlite",
"gt_sql": "SELECT SUM(T2.minutes) FROM players AS T1 INNER JOIN player_allstar AS T2 ON T1.playerID = T2.playerID WHERE T1.birthCity = 'Brooklyn' AND T1.nameNick LIKE '%Superman%'",
"index": 1384,
"question": "Task Overview:\nYou are a data science expert. Below, you... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT T3.tmID FROM awards_coaches AS T1 INNER JOIN coaches AS T2 ON T1.coachID = T2.coachID INNER JOIN teams AS T3 ON T3.tmID = T2.tmID WHERE T1.year = 1994 AND T1.award = 'NBA Coach of the Year' GROUP BY T3.tmID ORDER BY SUM(T3.homeLost) DESC LIMIT 1",
"style": "rule"
} | {
"db_id": "professional_basketball.sqlite",
"gt_sql": "SELECT T3.tmID FROM awards_coaches AS T1 INNER JOIN coaches AS T2 ON T1.coachID = T2.coachID INNER JOIN teams AS T3 ON T3.tmID = T2.tmID WHERE T1.year = 1994 AND T1.award = 'NBA Coach of the Year' GROUP BY T3.tmID ORDER BY SUM(T3.homeLost) DESC LIMIT 1",
"in... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT DISTINCT T2.tmID FROM series_post AS T1 INNER JOIN teams AS T2 ON T1.tmIDWinner = T2.tmID WHERE T2.won > 60 AND T1.year = 1996 AND T1.round = 'CSF' AND T1.tmIDLoser = 'LAL'",
"style": "rule"
} | {
"db_id": "professional_basketball.sqlite",
"gt_sql": "SELECT DISTINCT T2.tmID FROM series_post AS T1 INNER JOIN teams AS T2 ON T1.tmIDWinner = T2.tmID WHERE T2.won > 60 AND T1.year = 1996 AND T1.round = 'CSF' AND T1.tmIDLoser = 'LAL'",
"index": 1386,
"question": "Task Overview:\nYou are a data science expert.... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT coachID FROM coaches GROUP BY coachID HAVING COUNT(DISTINCT tmID) > 2",
"style": "rule"
} | {
"db_id": "professional_basketball.sqlite",
"gt_sql": "SELECT coachID FROM coaches GROUP BY coachID HAVING COUNT(DISTINCT tmID) > 2",
"index": 1387,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to unders... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT DISTINCT T1.college FROM players AS T1 INNER JOIN player_allstar AS T2 ON T1.playerID = T2.playerID WHERE T2.conference = 'East'",
"style": "rule"
} | {
"db_id": "professional_basketball.sqlite",
"gt_sql": "SELECT DISTINCT T1.college FROM players AS T1 INNER JOIN player_allstar AS T2 ON T1.playerID = T2.playerID WHERE T2.conference = 'East'",
"index": 1388,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database sch... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT COUNT(DISTINCT T1.playerID) FROM players AS T1 INNER JOIN awards_players AS T2 ON T1.playerID = T2.playerID WHERE T2.award = 'Most Valuable Player' AND T1.birthCity = 'Houston'",
"style": "rule"
} | {
"db_id": "professional_basketball.sqlite",
"gt_sql": "SELECT COUNT(DISTINCT T1.playerID) FROM players AS T1 INNER JOIN awards_players AS T2 ON T1.playerID = T2.playerID WHERE T2.award = 'Most Valuable Player' AND T1.birthCity = 'Houston'",
"index": 1389,
"question": "Task Overview:\nYou are a data science exp... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT T1.height FROM players AS T1 INNER JOIN awards_players AS T2 ON T1.playerID = T2.playerID WHERE T2.award = 'Rookie of the Year' ORDER BY T1.height DESC LIMIT 1",
"style": "rule"
} | {
"db_id": "professional_basketball.sqlite",
"gt_sql": "SELECT T1.height FROM players AS T1 INNER JOIN awards_players AS T2 ON T1.playerID = T2.playerID WHERE T2.award = 'Rookie of the Year' ORDER BY T1.height DESC LIMIT 1",
"index": 1390,
"question": "Task Overview:\nYou are a data science expert. Below, you a... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT AVG(T1.weight) FROM players AS T1 INNER JOIN awards_players AS T2 ON T1.playerID = T2.playerID WHERE T2.award = 'Rookie of the Year'",
"style": "rule"
} | {
"db_id": "professional_basketball.sqlite",
"gt_sql": "SELECT AVG(T1.weight) FROM players AS T1 INNER JOIN awards_players AS T2 ON T1.playerID = T2.playerID WHERE T2.award = 'Rookie of the Year'",
"index": 1391,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT AVG(T1.height) FROM players AS T1 INNER JOIN awards_players AS T2 ON T1.playerID = T2.playerID WHERE T2.award = 'Most Valuable Player' AND T1.birthCity = 'New York'",
"style": "rule"
} | {
"db_id": "professional_basketball.sqlite",
"gt_sql": "SELECT AVG(T1.height) FROM players AS T1 INNER JOIN awards_players AS T2 ON T1.playerID = T2.playerID WHERE T2.award = 'Most Valuable Player' AND T1.birthCity = 'New York'",
"index": 1392,
"question": "Task Overview:\nYou are a data science expert. Below, ... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT tmID FROM players_teams WHERE year = 2000 GROUP BY tmID ORDER BY SUM(PostPoints) DESC LIMIT 10",
"style": "rule"
} | {
"db_id": "professional_basketball.sqlite",
"gt_sql": "SELECT tmID FROM players_teams WHERE year = 2000 GROUP BY tmID ORDER BY SUM(PostPoints) DESC LIMIT 10",
"index": 1393,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language questio... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT name FROM teams WHERE CAST(won AS REAL) * 100 / (won + lost) < 50",
"style": "rule"
} | {
"db_id": "professional_basketball.sqlite",
"gt_sql": "SELECT name FROM teams WHERE CAST(won AS REAL) * 100 / (won + lost) < 50",
"index": 1394,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT COUNT(DISTINCT T4.name) FROM ( SELECT T1.name, SUM(T2.points) FROM teams AS T1 INNER JOIN players_teams AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year INNER JOIN awards_players AS T3 ON T2.playerID = T3.playerID WHERE T3.award = 'Most Valuable Player' GROUP BY T1.name HAVING SUM(T2.points)... | {
"db_id": "professional_basketball.sqlite",
"gt_sql": "SELECT COUNT(DISTINCT T4.name) FROM ( SELECT T1.name, SUM(T2.points) FROM teams AS T1 INNER JOIN players_teams AS T2 ON T1.tmID = T2.tmID AND T1.year = T2.year INNER JOIN awards_players AS T3 ON T2.playerID = T3.playerID WHERE T3.award = 'Most Valuable Player'... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT T1.lastName FROM players AS T1 INNER JOIN players_teams AS T2 ON T1.playerID = T2.playerID WHERE T2.tmID = 'BLB'",
"style": "rule"
} | {
"db_id": "professional_basketball.sqlite",
"gt_sql": "SELECT T1.lastName FROM players AS T1 INNER JOIN players_teams AS T2 ON T1.playerID = T2.playerID WHERE T2.tmID = 'BLB'",
"index": 1396,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natura... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT COUNT(DISTINCT coachID) FROM awards_coaches WHERE year BETWEEN 1962 AND 1975",
"style": "rule"
} | {
"db_id": "professional_basketball.sqlite",
"gt_sql": "SELECT COUNT(DISTINCT coachID) FROM awards_coaches WHERE year BETWEEN 1962 AND 1975",
"index": 1397,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT coachID FROM awards_coaches WHERE year BETWEEN 1970 AND 1990 GROUP BY coachID, award HAVING COUNT(award) = 2",
"style": "rule"
} | {
"db_id": "professional_basketball.sqlite",
"gt_sql": "SELECT coachID FROM awards_coaches WHERE year BETWEEN 1970 AND 1990 GROUP BY coachID, award HAVING COUNT(award) = 2",
"index": 1398,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural la... |
nl2sql | [
{
"content": "You are a helpful assistant.",
"role": "system"
},
{
"content": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task is to understand the schema and generate a valid SQL query to answer the question.\n... | nl2sql | {
"ground_truth": "SELECT COUNT(DISTINCT coachID) FROM awards_coaches WHERE year BETWEEN 1962 AND 2011 AND award = 'ABA Coach of the Year' AND coachID IN ( SELECT coachID FROM awards_coaches WHERE year BETWEEN 1962 AND 2011 AND award = 'NBA Coach of the Year' )",
"style": "rule"
} | {
"db_id": "professional_basketball.sqlite",
"gt_sql": "SELECT COUNT(DISTINCT coachID) FROM awards_coaches WHERE year BETWEEN 1962 AND 2011 AND award = 'ABA Coach of the Year' AND coachID IN ( SELECT coachID FROM awards_coaches WHERE year BETWEEN 1962 AND 2011 AND award = 'NBA Coach of the Year' )",
"index": 1399... |
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