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 SUM(T2.closing_time - T2.opening_time) FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id WHERE T1.city = 'El Mirage' AND T1.state = 'AZ'",
"style": "rule"
} | {
"db_id": "public_review_platform.sqlite",
"gt_sql": "SELECT SUM(T2.closing_time - T2.opening_time) FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id WHERE T1.city = 'El Mirage' AND T1.state = 'AZ'",
"index": 2000,
"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 T3.day_id - T2.day_id FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T1.state = 'SC'",
"style": "rule"
} | {
"db_id": "public_review_platform.sqlite",
"gt_sql": "SELECT T3.day_id - T2.day_id FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T1.state = 'SC'",
"index": 2001,
"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 DISTINCT T3.category_name FROM Business AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id WHERE T1.stars = 5",
"style": "rule"
} | {
"db_id": "public_review_platform.sqlite",
"gt_sql": "SELECT DISTINCT T3.category_name FROM Business AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id WHERE T1.stars = 5",
"index": 2002,
"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(T2.user_id) FROM Compliments AS T1 INNER JOIN Users_Compliments AS T2 ON T1.compliment_id = T2.compliment_id WHERE T1.compliment_type = 'photos' AND T2.number_of_compliments = 'Medium'",
"style": "rule"
} | {
"db_id": "public_review_platform.sqlite",
"gt_sql": "SELECT COUNT(T2.user_id) FROM Compliments AS T1 INNER JOIN Users_Compliments AS T2 ON T1.compliment_id = T2.compliment_id WHERE T1.compliment_type = 'photos' AND T2.number_of_compliments = 'Medium'",
"index": 2003,
"question": "Task Overview:\nYou are a dat... |
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.business_id) FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T1.attribute_name = 'ambience_romantic' AND T2.attribute_value = 'true'",
"style": "rule"
} | {
"db_id": "public_review_platform.sqlite",
"gt_sql": "SELECT COUNT(T2.business_id) FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T1.attribute_name = 'ambience_romantic' AND T2.attribute_value = 'true'",
"index": 2004,
"question": "Task Overview:\nYou are ... |
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(business_id) FROM Business WHERE city = 'Mesa' AND active = 'true'",
"style": "rule"
} | {
"db_id": "public_review_platform.sqlite",
"gt_sql": "SELECT COUNT(business_id) FROM Business WHERE city = 'Mesa' AND active = 'true'",
"index": 2005,
"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 unde... |
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(business_id) FROM Business WHERE stars IN (1, 2)",
"style": "rule"
} | {
"db_id": "public_review_platform.sqlite",
"gt_sql": "SELECT COUNT(business_id) FROM Business WHERE stars IN (1, 2)",
"index": 2006,
"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 ... |
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(business_id) FROM Business_Hours WHERE opening_time = '8AM' AND closing_time = '6PM'",
"style": "rule"
} | {
"db_id": "public_review_platform.sqlite",
"gt_sql": "SELECT COUNT(business_id) FROM Business_Hours WHERE opening_time = '8AM' AND closing_time = '6PM'",
"index": 2007,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. 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 COUNT(T2.user_id) FROM Users_Compliments AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id WHERE T1.number_of_compliments = 'High' AND T2.user_fans = 'None'",
"style": "rule"
} | {
"db_id": "public_review_platform.sqlite",
"gt_sql": "SELECT COUNT(T2.user_id) FROM Users_Compliments AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id WHERE T1.number_of_compliments = 'High' AND T2.user_fans = 'None'",
"index": 2008,
"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 T2.compliment_type FROM Users_Compliments AS T1 INNER JOIN Compliments AS T2 ON T1.compliment_id = T2.compliment_id GROUP BY T2.compliment_type ORDER BY COUNT(T2.compliment_type) DESC LIMIT 1",
"style": "rule"
} | {
"db_id": "public_review_platform.sqlite",
"gt_sql": "SELECT T2.compliment_type FROM Users_Compliments AS T1 INNER JOIN Compliments AS T2 ON T1.compliment_id = T2.compliment_id GROUP BY T2.compliment_type ORDER BY COUNT(T2.compliment_type) DESC LIMIT 1",
"index": 2009,
"question": "Task Overview:\nYou are 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 T2.user_average_stars FROM Tips AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id GROUP BY T2.user_id ORDER BY SUM(T1.likes) DESC LIMIT 3",
"style": "rule"
} | {
"db_id": "public_review_platform.sqlite",
"gt_sql": "SELECT T2.user_average_stars FROM Tips AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id GROUP BY T2.user_id ORDER BY SUM(T1.likes) DESC LIMIT 3",
"index": 2010,
"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 COUNT(T2.business_id) FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T1.attribute_name = 'music_karaoke' AND T3.active = 'false' AND T2.attribute_value IN ('none', 'no', 'false... | {
"db_id": "public_review_platform.sqlite",
"gt_sql": "SELECT COUNT(T2.business_id) FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T1.attribute_name = 'music_karaoke' AND T3.active = 'false' AND T2.at... |
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.user_id) FROM Users AS T1 INNER JOIN Tips AS T2 ON T1.user_id = T2.user_id WHERE T2.tip_length = 'Long' AND T2.likes = 2 AND T1.user_fans = 'High'",
"style": "rule"
} | {
"db_id": "public_review_platform.sqlite",
"gt_sql": "SELECT COUNT(DISTINCT T1.user_id) FROM Users AS T1 INNER JOIN Tips AS T2 ON T1.user_id = T2.user_id WHERE T2.tip_length = 'Long' AND T2.likes = 2 AND T1.user_fans = 'High'",
"index": 2012,
"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 COUNT(DISTINCT T2.business_id) FROM Business AS T1 INNER JOIN Business_hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T1.city = 'Scottsdale' AND T3.day_of_week = 'Sunday' AND T2.opening_time = '12PM'",
"style": "rule"
} | {
"db_id": "public_review_platform.sqlite",
"gt_sql": "SELECT COUNT(DISTINCT T2.business_id) FROM Business AS T1 INNER JOIN Business_hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T1.city = 'Scottsdale' AND T3.day_of_week = 'Sunday' AND T2.opening_time = '12PM'",... |
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(T1.stars) AS REAL) / COUNT(T1.business_id) FROM Business AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id WHERE T3.category_name = 'Obstetricians & Gynecologists'",
"style": "rule"
} | {
"db_id": "public_review_platform.sqlite",
"gt_sql": "SELECT CAST(SUM(T1.stars) AS REAL) / COUNT(T1.business_id) FROM Business AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id WHERE T3.category_name = 'Obstetricians & Gynec... |
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(business_id) FROM Business WHERE city = 'Surprise'",
"style": "rule"
} | {
"db_id": "public_review_platform.sqlite",
"gt_sql": "SELECT COUNT(business_id) FROM Business WHERE city = 'Surprise'",
"index": 2015,
"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 schem... |
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(business_id) FROM Business WHERE review_count = 'Medium' AND state = 'AZ' AND active = 'true'",
"style": "rule"
} | {
"db_id": "public_review_platform.sqlite",
"gt_sql": "SELECT COUNT(business_id) FROM Business WHERE review_count = 'Medium' AND state = 'AZ' AND active = 'true'",
"index": 2016,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language que... |
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(user_id) FROM Users WHERE user_yelping_since_year >= 2009 AND user_yelping_since_year < 2012 AND user_fans = 'Low'",
"style": "rule"
} | {
"db_id": "public_review_platform.sqlite",
"gt_sql": "SELECT COUNT(user_id) FROM Users WHERE user_yelping_since_year >= 2009 AND user_yelping_since_year < 2012 AND user_fans = 'Low'",
"index": 2017,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and 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 review_length FROM Reviews WHERE user_id = 11021 AND business_id = 3",
"style": "rule"
} | {
"db_id": "public_review_platform.sqlite",
"gt_sql": "SELECT review_length FROM Reviews WHERE user_id = 11021 AND business_id = 3",
"index": 2018,
"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 understa... |
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.business_id, T1.stars FROM Business AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id WHERE T3.category_name = 'Food' AND T1.active = 'true'",
"style": "rule"
} | {
"db_id": "public_review_platform.sqlite",
"gt_sql": "SELECT DISTINCT T1.business_id, T1.stars FROM Business AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id WHERE T3.category_name = 'Food' AND T1.active = 'true'",
"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 DISTINCT T3.category_name, T5.attribute_name FROM Business AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id INNER JOIN Business_Attributes AS T4 ON T2.business_id = T4.business_id INNER JOIN Attribute... | {
"db_id": "public_review_platform.sqlite",
"gt_sql": "SELECT DISTINCT T3.category_name, T5.attribute_name FROM Business AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id INNER JOIN Business_Attributes AS T4 ON T2.business_id... |
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 T3.category_name FROM Reviews AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id WHERE T2.business_id >= 7 AND T2.business_id < 15 AND T1.review_length = 'Short' AND T1.review_stars = ( SELECT ... | {
"db_id": "public_review_platform.sqlite",
"gt_sql": "SELECT DISTINCT T3.category_name FROM Reviews AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id WHERE T2.business_id >= 7 AND T2.business_id < 15 AND T1.review_length = '... |
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.business_id) FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id INNER JOIN Attributes AS T3 ON T2.attribute_id = T3.attribute_id WHERE T3.attribute_name = 'BYOB' AND T1.review_count = 'High' AND T1.active = 'true'",
"style": "rule"... | {
"db_id": "public_review_platform.sqlite",
"gt_sql": "SELECT COUNT(DISTINCT T1.business_id) FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id INNER JOIN Attributes AS T3 ON T2.attribute_id = T3.attribute_id WHERE T3.attribute_name = 'BYOB' AND T1.review_count = 'High' AND ... |
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.opening_time, T2.closing_time FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id WHERE T1.city = 'Glendale' ORDER BY T1.stars DESC LIMIT 1",
"style": "rule"
} | {
"db_id": "public_review_platform.sqlite",
"gt_sql": "SELECT T2.opening_time, T2.closing_time FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id WHERE T1.city = 'Glendale' ORDER BY T1.stars DESC LIMIT 1",
"index": 2023,
"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 DISTINCT T3.category_name FROM Business_Categories AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T1.category_id = T3.category_id WHERE T2.active = 'true' AND T2.state = 'AZ' AND T2.city = 'Glendale'",
"style": "rule"
} | {
"db_id": "public_review_platform.sqlite",
"gt_sql": "SELECT DISTINCT T3.category_name FROM Business_Categories AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T1.category_id = T3.category_id WHERE T2.active = 'true' AND T2.state = 'AZ' AND T2.city = 'Glendale'",
... |
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.city FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T2.opening_time = '7AM' AND T2.closing_time = '7PM' AND T3.day_of_week = 'Wednesday'",
"style": "rule"
} | {
"db_id": "public_review_platform.sqlite",
"gt_sql": "SELECT DISTINCT T1.city FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T2.opening_time = '7AM' AND T2.closing_time = '7PM' AND T3.day_of_week = 'Wednesday'",
"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 DISTINCT T2.attribute_value FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id INNER JOIN Attributes AS T3 ON T2.attribute_id = T3.attribute_id WHERE T1.state = 'AZ' AND T1.city = 'Goodyear' AND T1.active = 'true' AND T1.stars = 3 AND T1.review_count ... | {
"db_id": "public_review_platform.sqlite",
"gt_sql": "SELECT DISTINCT T2.attribute_value FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id INNER JOIN Attributes AS T3 ON T2.attribute_id = T3.attribute_id WHERE T1.state = 'AZ' AND T1.city = 'Goodyear' AND T1.active = 'true'... |
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 T1.stars > 3 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.stars) FROM Business AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id WHERE T3.category_name = 'Food'",
"style": "rule"
} | {
"db_id": "public_review_platform.sqlite",
"gt_sql": "SELECT CAST(SUM(CASE WHEN T1.stars > 3 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.stars) FROM Business AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id WHERE T3.catego... |
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 word_cited_id, COUNT(paper_id) FROM content GROUP BY word_cited_id ORDER BY COUNT(word_cited_id) DESC LIMIT 1",
"style": "rule"
} | {
"db_id": "citeseer.sqlite",
"gt_sql": "SELECT word_cited_id, COUNT(paper_id) FROM content GROUP BY word_cited_id ORDER BY COUNT(word_cited_id) DESC LIMIT 1",
"index": 2028,
"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 T1.class_label, T2.word_cited_id FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id WHERE T1.paper_id = 315017",
"style": "rule"
} | {
"db_id": "citeseer.sqlite",
"gt_sql": "SELECT T1.class_label, T2.word_cited_id FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id WHERE T1.paper_id = 315017",
"index": 2029,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a nat... |
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(DISTINCT CASE WHEN T1.class_label = 'Agents' THEN T2.word_cited_id ELSE NULL END) AS REAL) * 100 / COUNT(DISTINCT T2.word_cited_id) FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id",
"style": "rule"
} | {
"db_id": "citeseer.sqlite",
"gt_sql": "SELECT CAST(COUNT(DISTINCT CASE WHEN T1.class_label = 'Agents' THEN T2.word_cited_id ELSE NULL END) AS REAL) * 100 / COUNT(DISTINCT T2.word_cited_id) FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id",
"index": 2030,
"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 DISTINCT T2.word_cited_id FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id WHERE T1.class_label = 'AI'",
"style": "rule"
} | {
"db_id": "citeseer.sqlite",
"gt_sql": "SELECT DISTINCT T2.word_cited_id FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id WHERE T1.class_label = 'AI'",
"index": 2031,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural l... |
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 class_label = 'ML' THEN paper_id ELSE NULL END) AS REAL) / COUNT(paper_id) FROM paper",
"style": "rule"
} | {
"db_id": "citeseer.sqlite",
"gt_sql": "SELECT CAST(COUNT(CASE WHEN class_label = 'ML' THEN paper_id ELSE NULL END) AS REAL) / COUNT(paper_id) FROM paper",
"index": 2032,
"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 DISTINCT T2.word_cited_id FROM cites AS T1 INNER JOIN content AS T2 ON T1.cited_paper_id = T2.paper_id WHERE T1.citing_paper_id = 'sima01computational'",
"style": "rule"
} | {
"db_id": "citeseer.sqlite",
"gt_sql": "SELECT DISTINCT T2.word_cited_id FROM cites AS T1 INNER JOIN content AS T2 ON T1.cited_paper_id = T2.paper_id WHERE T1.citing_paper_id = 'sima01computational'",
"index": 2033,
"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 name FROM Person WHERE birthdate IS NOT NULL ORDER BY birthdate ASC LIMIT 1;",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT name FROM Person WHERE birthdate IS NOT NULL ORDER BY birthdate ASC LIMIT 1;",
"index": 2034,
"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 nickname FROM Person WHERE name = 'Dan Castellaneta';",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT nickname FROM Person WHERE name = 'Dan Castellaneta';",
"index": 2035,
"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 gen... |
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(name) FROM Person WHERE birth_region = 'New York' AND SUBSTR(birthdate, 1, 4) > '1970';",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT COUNT(name) FROM Person WHERE birth_region = 'New York' AND SUBSTR(birthdate, 1, 4) > '1970';",
"index": 2036,
"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 DISTINCT T1.character FROM Character_Award AS T1 INNER JOIN Award AS T2 ON T1.award_id = T2.award_id WHERE T2.award = 'Outstanding Voice-Over Performance' AND T2.year = 2009 AND T2.result = 'Winner';",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT DISTINCT T1.character FROM Character_Award AS T1 INNER JOIN Award AS T2 ON T1.award_id = T2.award_id WHERE T2.award = 'Outstanding Voice-Over Performance' AND T2.year = 2009 AND T2.result = 'Winner';",
"index": 2037,
"question": "Task Overview:\nYou are 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.keyword FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'Lost Verizon';",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT T2.keyword FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'Lost Verizon';",
"index": 2038,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natur... |
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.keyword) FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T1.air_date = '2008-10-19';",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT COUNT(T2.keyword) FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T1.air_date = '2008-10-19';",
"index": 2039,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and... |
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.rating FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T1.award = 'Outstanding Voice-Over Performance' AND SUBSTR(T1.year, 1, 4) = '2009' AND T1.person = 'Dan Castellaneta';",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT T2.rating FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T1.award = 'Outstanding Voice-Over Performance' AND SUBSTR(T1.year, 1, 4) = '2009' AND T1.person = 'Dan Castellaneta';",
"index": 2040,
"question": "Task Overview:\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.stars FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T1.title = 'Lost Verizon' ORDER BY T2.votes DESC LIMIT 1;",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT T2.stars FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T1.title = 'Lost Verizon' ORDER BY T2.votes DESC LIMIT 1;",
"index": 2041,
"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 T1.title FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T2.votes > 200 AND T2.stars = 10;",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT T1.title FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T2.votes > 200 AND T2.stars = 10;",
"index": 2042,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a nat... |
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 Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE SUBSTR(T1.air_date, 1, 4) = '2009' AND T2.stars = 10 AND T2.percent > 15;",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT COUNT(*) FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE SUBSTR(T1.air_date, 1, 4) = '2009' AND T2.stars = 10 AND T2.percent > 15;",
"index": 2043,
"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 CAST(SUM(T2.votes * T2.stars) AS REAL) / SUM(T2.votes) FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T1.title = 'Lost Verizon';",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT CAST(SUM(T2.votes * T2.stars) AS REAL) / SUM(T2.votes) FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T1.title = 'Lost Verizon';",
"index": 2044,
"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 CAST(SUM(CASE WHEN T1.award_category = 'Primetime Emmy' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T2.rating > 7 AND T1.result = 'Nominee';",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT CAST(SUM(CASE WHEN T1.award_category = 'Primetime Emmy' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T2.rating > 7 AND T1.result = 'Nominee';",
"index": 2045,
"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 T1.title FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T2.person = 'Pamela Hayden' AND T2.role = 'Ruthie';",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT T1.title FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T2.person = 'Pamela Hayden' AND T2.role = 'Ruthie';",
"index": 2046,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a datab... |
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.role, T1.episode, T1.number_in_series FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T2.person = 'Matt Groening' AND T1.title = 'In the Name of the Grandfather';",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT T2.role, T1.episode, T1.number_in_series FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T2.person = 'Matt Groening' AND T1.title = 'In the Name of the Grandfather';",
"index": 2047,
"question": "Task Overview:\nYou are 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 T1.title, T1.summary FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T2.keyword = 'eviction';",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT T1.title, T1.summary FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T2.keyword = 'eviction';",
"index": 2048,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and... |
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.title, T2.keyword FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T1.air_date = '2009-03-22';",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT T1.title, T2.keyword FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T1.air_date = '2009-03-22';",
"index": 2049,
"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 COUNT(name) FROM Person WHERE birth_place = 'New York City' AND birth_country = 'USA';",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT COUNT(name) FROM Person WHERE birth_place = 'New York City' AND birth_country = 'USA';",
"index": 2050,
"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 award_id, award_category FROM Award WHERE person = 'Marc Wilmore';",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT award_id, award_category FROM Award WHERE person = 'Marc Wilmore';",
"index": 2051,
"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 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 MAX(votes) - MIN(votes) FROM Vote;",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT MAX(votes) - MIN(votes) FROM Vote;",
"index": 2052,
"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 generate a valid SQL 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 COUNT(*) FROM Person AS T1 INNER JOIN Award AS T2 ON T1.name = T2.person WHERE T2.year = 2009 AND T2.award = 'Comedy Series' AND T1.birth_region = 'California';",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT COUNT(*) FROM Person AS T1 INNER JOIN Award AS T2 ON T1.name = T2.person WHERE T2.year = 2009 AND T2.award = 'Comedy Series' AND T1.birth_region = 'California';",
"index": 2053,
"question": "Task Overview:\nYou are a data science expert. Below, you are pro... |
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.person FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'How the Test Was Won' AND T2.credited = 'false';",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT T2.person FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'How the Test Was Won' AND T2.credited = 'false';",
"index": 2054,
"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 T2.keyword FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'Take My Life, Please';",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT T2.keyword FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'Take My Life, Please';",
"index": 2055,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and... |
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 T1.award = 'Outstanding Voice-Over Performance' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.episode_id) FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T2.votes > 950 AND T1.year = 2009;",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT CAST(SUM(CASE WHEN T1.award = 'Outstanding Voice-Over Performance' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.episode_id) FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T2.votes > 950 AND T1.year = 2009;",
"index": 2056,
... |
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 T1.title = 'No Loan Again, Naturally' THEN T1.votes ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.title = 'Coming to Homerica' THEN T1.votes ELSE 0 END) AS ratio FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T2.stars = 5;",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT CAST(SUM(CASE WHEN T1.title = 'No Loan Again, Naturally' THEN T1.votes ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.title = 'Coming to Homerica' THEN T1.votes ELSE 0 END) AS ratio FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T2.st... |
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 person FROM Award WHERE result = 'Nominee' GROUP BY person ORDER BY COUNT(person) DESC LIMIT 1;",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT person FROM Award WHERE result = 'Nominee' GROUP BY person ORDER BY COUNT(person) DESC LIMIT 1;",
"index": 2058,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. 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 title FROM Episode ORDER BY rating LIMIT 1;",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT title FROM Episode ORDER BY rating LIMIT 1;",
"index": 2059,
"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 generate a va... |
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 year FROM Award WHERE result = 'Winner' AND award = 'Favorite Animated Comedy' ORDER BY year DESC LIMIT 1;",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT year FROM Award WHERE result = 'Winner' AND award = 'Favorite Animated Comedy' ORDER BY year DESC LIMIT 1;",
"index": 2060,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language qu... |
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 Credit WHERE person = 'Dell Hake' AND credited = 'false';",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT COUNT(*) FROM Credit WHERE person = 'Dell Hake' AND credited = 'false';",
"index": 2061,
"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 DISTINCT T2.character FROM Award AS T1 INNER JOIN Character_Award AS T2 ON T1.award_id = T2.award_id WHERE T1.person = 'Dan Castellaneta' AND T1.award = 'Outstanding Voice-Over Performance' AND T1.organization = 'Primetime Emmy Awards' AND T1.year = 2009;",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT DISTINCT T2.character FROM Award AS T1 INNER JOIN Character_Award AS T2 ON T1.award_id = T2.award_id WHERE T1.person = 'Dan Castellaneta' AND T1.award = 'Outstanding Voice-Over Performance' AND T1.organization = 'Primetime Emmy Awards' AND T1.year = 2009;",
... |
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.birth_place FROM Person AS T1 INNER JOIN Award AS T2 ON T1.name = T2.person WHERE T2.award = 'Best Voice-Over Performance' AND T2.organization = 'Online Film & Television Association' AND T2.year = 2009;",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT T1.birth_place FROM Person AS T1 INNER JOIN Award AS T2 ON T1.name = T2.person WHERE T2.award = 'Best Voice-Over Performance' AND T2.organization = 'Online Film & Television Association' AND T2.year = 2009;",
"index": 2063,
"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 SUM(T1.votes) FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T2.stars = 10 ORDER BY T1.rating DESC LIMIT 4;",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT SUM(T1.votes) FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T2.stars = 10 ORDER BY T1.rating DESC LIMIT 4;",
"index": 2064,
"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(*) FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T1.title = 'No Loan Again, Naturally' AND T2.votes < 50;",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT COUNT(*) FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T1.title = 'No Loan Again, Naturally' AND T2.votes < 50;",
"index": 2065,
"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(*) FROM Person AS T1 INNER JOIN Award AS T2 ON T1.name = T2.person WHERE T1.birth_country = 'USA' AND T2.result = 'Winner';",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT COUNT(*) FROM Person AS T1 INNER JOIN Award AS T2 ON T1.name = T2.person WHERE T1.birth_country = 'USA' AND T2.result = 'Winner';",
"index": 2066,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema an... |
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 Person AS T1 INNER JOIN Credit AS T2 ON T1.name = T2.person WHERE T1.nickname = 'Doofus' AND T2.credited = 'true' AND T2.episode_id = 'S20-E11';",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT COUNT(*) FROM Person AS T1 INNER JOIN Credit AS T2 ON T1.name = T2.person WHERE T1.nickname = 'Doofus' AND T2.credited = 'true' AND T2.episode_id = 'S20-E11';",
"index": 2067,
"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 T2.percent FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T1.title = 'Sex, Pies and Idiot Scrapes' AND T2.stars = 9;",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT T2.percent FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T1.title = 'Sex, Pies and Idiot Scrapes' AND T2.stars = 9;",
"index": 2068,
"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 award, person FROM Award WHERE result = 'Winner' AND SUBSTR(year, 1, 4) = '2009';",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT award, person FROM Award WHERE result = 'Winner' AND SUBSTR(year, 1, 4) = '2009';",
"index": 2069,
"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 u... |
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.award, T1.result, T2.category, T2.credited FROM Award AS T1 INNER JOIN Credit AS T2 ON T2.episode_id = T1.episode_id WHERE T2.person = 'Billy Kimball';",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT DISTINCT T1.award, T1.result, T2.category, T2.credited FROM Award AS T1 INNER JOIN Credit AS T2 ON T2.episode_id = T1.episode_id WHERE T2.person = 'Billy Kimball';",
"index": 2070,
"question": "Task Overview:\nYou are a data science expert. Below, you are ... |
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.person, T1.award, T1.organization, T1.result, T2.credited FROM Award AS T1 INNER JOIN Credit AS T2 ON T2.episode_id = T1.episode_id WHERE T2.episode_id = 'S20-E13' AND T2.role = 'assistant director';",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT T1.person, T1.award, T1.organization, T1.result, T2.credited FROM Award AS T1 INNER JOIN Credit AS T2 ON T2.episode_id = T1.episode_id WHERE T2.episode_id = 'S20-E13' AND T2.role = 'assistant director';",
"index": 2071,
"question": "Task Overview:\nYou are... |
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.birth_country, T1.height_meters, T1.name FROM Person AS T1 INNER JOIN Credit AS T2 ON T1.name = T2.person WHERE T2.category = 'Cast' AND T2.credited = 'false';",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT T1.birth_country, T1.height_meters, T1.name FROM Person AS T1 INNER JOIN Credit AS T2 ON T1.name = T2.person WHERE T2.category = 'Cast' AND T2.credited = 'false';",
"index": 2072,
"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 T3.person, T1.keyword, T1.episode_id FROM Keyword AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Award AS T3 ON T2.episode_id = T3.episode_id WHERE T2.title = 'The Good, the Sad and the Drugly' AND T3.result = 'Nominee';",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT T3.person, T1.keyword, T1.episode_id FROM Keyword AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Award AS T3 ON T2.episode_id = T3.episode_id WHERE T2.title = 'The Good, the Sad and the Drugly' AND T3.result = 'Nominee';",
"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 T2.votes, T2.percent FROM Keyword AS T1 INNER JOIN Vote AS T2 ON T1.episode_id = T2.episode_id WHERE T1.keyword = 'arab stereotype' AND T2.stars = 10;",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT T2.votes, T2.percent FROM Keyword AS T1 INNER JOIN Vote AS T2 ON T1.episode_id = T2.episode_id WHERE T1.keyword = 'arab stereotype' AND T2.stars = 10;",
"index": 2074,
"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 DISTINCT T1.award, T1.person, T2.character FROM Award AS T1 INNER JOIN Character_Award AS T2 ON T1.award_id = T2.award_id WHERE T2.award_id = 326;",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT DISTINCT T1.award, T1.person, T2.character FROM Award AS T1 INNER JOIN Character_Award AS T2 ON T1.award_id = T2.award_id WHERE T2.award_id = 326;",
"index": 2075,
"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 DISTINCT T2.credited, T2.category, T2.role, T1.birth_place FROM Person AS T1 INNER JOIN Credit AS T2 ON T1.name = T2.person WHERE T1.birth_country = 'North Korea';",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT DISTINCT T2.credited, T2.category, T2.role, T1.birth_place FROM Person AS T1 INNER JOIN Credit AS T2 ON T1.name = T2.person WHERE T1.birth_country = 'North Korea';",
"index": 2076,
"question": "Task Overview:\nYou are a data science expert. Below, you are ... |
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.rate, T4.person, T4.award, T5.title, T4.role FROM ( SELECT CAST(SUM(CASE WHEN T1.result = 'Winner' THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.result IN ('Winner', 'Nominee') THEN 1 ELSE 0 END) AS rate , T1.person, T1.award, T2.title, T1.role FROM Award AS T1 INNER JOIN Episode AS T2 O... | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT T3.rate, T4.person, T4.award, T5.title, T4.role FROM ( SELECT CAST(SUM(CASE WHEN T1.result = 'Winner' THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.result IN ('Winner', 'Nominee') THEN 1 ELSE 0 END) AS rate , T1.person, T1.award, T2.title, T1.role FROM Award ... |
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.title FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id ORDER BY T2.stars DESC, T2.votes DESC LIMIT 1;",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT T1.title FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id ORDER BY T2.stars DESC, T2.votes DESC LIMIT 1;",
"index": 2078,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema an... |
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.title FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T1.organization = 'Primetime Emmy Awards' AND T1.award = 'Outstanding Animated Program (For Programming Less Than One Hour)' AND T1.result = 'Nominee' GROUP BY T1.episode_id HAVING COUNT(T1.episode_id) ... | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT T2.title FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T1.organization = 'Primetime Emmy Awards' AND T1.award = 'Outstanding Animated Program (For Programming Less Than One Hour)' AND T1.result = 'Nominee' GROUP BY T1.episode... |
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(award_id) FROM Award WHERE person = 'Billy Kimball' AND SUBSTR(year, 1, 4) = '2010' AND result = 'Nominee';",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT COUNT(award_id) FROM Award WHERE person = 'Billy Kimball' AND SUBSTR(year, 1, 4) = '2010' AND result = 'Nominee';",
"index": 2080,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural lang... |
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 award, award_category FROM Award WHERE result = 'Winner' ORDER BY year DESC LIMIT 1;",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT award, award_category FROM Award WHERE result = 'Winner' ORDER BY year DESC LIMIT 1;",
"index": 2081,
"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(SUM(CASE WHEN result = 'Winner' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(award) AS rate FROM Award;",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT CAST(SUM(CASE WHEN result = 'Winner' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(award) AS rate FROM Award;",
"index": 2082,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language que... |
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 Person WHERE birthdate = '1957-10-29' AND birth_place = 'Chicago' AND birth_region = 'Illinois';",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT name FROM Person WHERE birthdate = '1957-10-29' AND birth_place = 'Chicago' AND birth_region = 'Illinois';",
"index": 2083,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language qu... |
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(name) FROM Person WHERE birth_country = 'USA';",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT COUNT(name) FROM Person WHERE birth_country = 'USA';",
"index": 2084,
"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 name FROM Person WHERE SUBSTR(birthdate, 1, 4) < '1970';",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT name FROM Person WHERE SUBSTR(birthdate, 1, 4) < '1970';",
"index": 2085,
"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 ... |
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 Person WHERE SUBSTR(birthdate, 1, 4) = '1958' AND birth_place = 'California' AND birth_country = 'USA';",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT name FROM Person WHERE SUBSTR(birthdate, 1, 4) = '1958' AND birth_place = 'California' AND birth_country = 'USA';",
"index": 2086,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural lang... |
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 episode_id FROM Vote WHERE stars = 5 AND votes > 100;",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT episode_id FROM Vote WHERE stars = 5 AND votes > 100;",
"index": 2087,
"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 gen... |
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.episode FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T1.episode BETWEEN 10 AND 20 AND T2.votes > 200;",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT DISTINCT T1.episode FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T1.episode BETWEEN 10 AND 20 AND T2.votes > 200;",
"index": 2088,
"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 T1.person FROM Award AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T1.award_category = 'Primetime Emmy' ORDER BY T2.votes DESC LIMIT 1;",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT T1.person FROM Award AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T1.award_category = 'Primetime Emmy' ORDER BY T2.votes DESC LIMIT 1;",
"index": 2089,
"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 T1.person FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T1.role = 'director' AND T1.award = 'Outstanding Animated Program (For Programming Less Than One Hour)' AND T2.title = 'No Loan Again, Naturally';",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT T1.person FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T1.role = 'director' AND T1.award = 'Outstanding Animated Program (For Programming Less Than One Hour)' AND T2.title = 'No Loan Again, Naturally';",
"index": 2090,
"... |
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.person FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE SUBSTR(T1.year, 1, 4) = '2009' AND T1.role = 'writer' AND T2.votes > 5;",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT T1.person FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE SUBSTR(T1.year, 1, 4) = '2009' AND T1.role = 'writer' AND T2.votes > 5;",
"index": 2091,
"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 COUNT(*) FROM Person AS T1 INNER JOIN Award AS T2 ON T1.name = T2.person WHERE T2.award_category = 'WGA Award (TV)' AND T1.birth_country = 'USA' AND T2.year BETWEEN 2009 AND 2010;",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT COUNT(*) FROM Person AS T1 INNER JOIN Award AS T2 ON T1.name = T2.person WHERE T2.award_category = 'WGA Award (TV)' AND T1.birth_country = 'USA' AND T2.year BETWEEN 2009 AND 2010;",
"index": 2092,
"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 SUM(CASE WHEN T2.votes < 100 THEN 1 ELSE 0 END) AS num , CAST(SUM(CASE WHEN T2.votes < 100 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM Award AS T1 INNER JOIN Vote AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Episode AS T3 ON T1.episode_id = T3.episode_id WHERE T1.award = 'Outstand... | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT SUM(CASE WHEN T2.votes < 100 THEN 1 ELSE 0 END) AS num , CAST(SUM(CASE WHEN T2.votes < 100 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM Award AS T1 INNER JOIN Vote AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Episode AS T3 ON T1.episode_id = T3.episo... |
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.birth_country = 'USA' THEN 1 ELSE 0 END) AS num , CAST(SUM(CASE WHEN T1.birth_country = 'USA' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM Person AS T1 INNER JOIN Award AS T2 ON T1.name = T2.person WHERE T2.award_category = 'Primetime Emmy' AND T2.person = 'Dan Castella... | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT SUM(CASE WHEN T1.birth_country = 'USA' THEN 1 ELSE 0 END) AS num , CAST(SUM(CASE WHEN T1.birth_country = 'USA' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM Person AS T1 INNER JOIN Award AS T2 ON T1.name = T2.person WHERE T2.award_category = 'Primetime Emm... |
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 Person WHERE SUBSTR(birthdate, 1, 4) = '1962' AND birth_region = 'California';",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT name FROM Person WHERE SUBSTR(birthdate, 1, 4) = '1962' AND birth_region = 'California';",
"index": 2095,
"question": "Task Overview:\nYou are a data science expert. Below, you are provided with a database schema and a natural language question. Your task ... |
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(name) FROM Person WHERE height_meters > 1.70 AND birth_country = 'Canada';",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT COUNT(name) FROM Person WHERE height_meters > 1.70 AND birth_country = 'Canada';",
"index": 2096,
"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 un... |
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 title FROM Episode WHERE rating BETWEEN 7 AND 10 LIMIT 3;",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT title FROM Episode WHERE rating BETWEEN 7 AND 10 LIMIT 3;",
"index": 2097,
"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... |
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 episode_id FROM Episode ORDER BY votes DESC LIMIT 5;",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT episode_id FROM Episode ORDER BY votes DESC LIMIT 5;",
"index": 2098,
"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 T1.title FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T2.stars = ( SELECT MIN(stars) FROM Vote ) ORDER BY T2.votes DESC LIMIT 3;",
"style": "rule"
} | {
"db_id": "simpson_episodes.sqlite",
"gt_sql": "SELECT T1.title FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T2.stars = ( SELECT MIN(stars) FROM Vote ) ORDER BY T2.votes DESC LIMIT 3;",
"index": 2099,
"question": "Task Overview:\nYou are a data science expert. Below, you are ... |
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