question string | answer string | context string | dialect string | spider_hardness string | extended_hardness string | classification_status string | syntax_status string | ddl_syntax_status string | schema_status string | syntax_errors list | ddl_syntax_errors list | schema_errors list | classification_errors list | status_history list | correction_status string | component1 int64 | component2 int64 | others int64 | validation_source dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
How many heads of the departments are older than 56 ? | SELECT COUNT(*) FROM head WHERE age > 56 | CREATE TABLE head (age INTEGER, id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 0
} |
List the name, born state and age of the heads of departments ordered by age. | SELECT name, born_state, age FROM head ORDER BY age | CREATE TABLE head (name VARCHAR(255), born_state VARCHAR(255), age VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 1
} |
List the creation year, name and budget of each department. | SELECT creation, name, budget_in_billions FROM department | CREATE TABLE department (creation VARCHAR(255), name VARCHAR(255), budget_in_billions VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 0 | 0 | 1 | {
"split": "train",
"row_index": 2
} |
What are the maximum and minimum budget of the departments? | SELECT MAX(budget_in_billions), MIN(budget_in_billions) FROM department | CREATE TABLE department (budget_in_billions INTEGER, id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 0 | 0 | 2 | {
"split": "train",
"row_index": 3
} |
What are the names of the heads who are born outside the California state? | SELECT name FROM head WHERE born_state <> 'California' | CREATE TABLE head (name VARCHAR(255), born_state VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 5
} |
What are the distinct creation years of the departments managed by a secretary born in state 'Alabama'? | SELECT DISTINCT T1.creation FROM department AS T1 JOIN management AS T2 ON T1.department_id = T2.department_id JOIN head AS T3 ON T2.head_id = T3.head_id WHERE T3.born_state = 'Alabama' | CREATE TABLE department (creation VARCHAR(255), department_id VARCHAR(255)); CREATE TABLE management (department_id VARCHAR(255), head_id VARCHAR(255)); CREATE TABLE head (head_id VARCHAR(255), born_state VARCHAR(255)) | generic | hard | hard | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 3 | 0 | 0 | {
"split": "train",
"row_index": 6
} |
What are the names of the states where at least 3 heads were born? | SELECT born_state FROM head GROUP BY born_state HAVING COUNT(*) >= 3 | CREATE TABLE head (born_state VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 7
} |
In which year were most departments established? | SELECT creation FROM department GROUP BY creation ORDER BY COUNT(*) DESC LIMIT 1 | CREATE TABLE department (creation VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | hard | hard | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 3 | 0 | 0 | {
"split": "train",
"row_index": 8
} |
Show the name and number of employees for the departments managed by heads whose temporary acting value is 'Yes'? | SELECT T1.name, T1.num_employees FROM department AS T1 JOIN management AS T2 ON T1.department_id = T2.department_id WHERE T2.temporary_acting = 'Yes' | CREATE TABLE management (department_id VARCHAR(255), temporary_acting VARCHAR(255)); CREATE TABLE department (name VARCHAR(255), num_employees VARCHAR(255), department_id VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 2 | 0 | 1 | {
"split": "train",
"row_index": 9
} |
How many acting statuses are there? | SELECT COUNT(DISTINCT temporary_acting) FROM management | CREATE TABLE management (temporary_acting VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 0 | 0 | 0 | {
"split": "train",
"row_index": 10
} |
How many departments are led by heads who are not mentioned? | SELECT COUNT(*) FROM department WHERE NOT department_id IN (SELECT department_id FROM management) | CREATE TABLE management (department_id VARCHAR(255), info VARCHAR(255)); CREATE TABLE department (department_id VARCHAR(255), info VARCHAR(255)) | generic | extra | extra | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 1 | 1 | {
"split": "train",
"row_index": 11
} |
What are the distinct ages of the heads who are acting? | SELECT DISTINCT T1.age FROM management AS T2 JOIN head AS T1 ON T1.head_id = T2.head_id WHERE T2.temporary_acting = 'Yes' | CREATE TABLE head (age VARCHAR(255), head_id VARCHAR(255)); CREATE TABLE management (head_id VARCHAR(255), temporary_acting VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 2 | 0 | 0 | {
"split": "train",
"row_index": 12
} |
List the states where both the secretary of 'Treasury' department and the secretary of 'Homeland Security' were born. | SELECT T3.born_state FROM department AS T1 JOIN management AS T2 ON T1.department_id = T2.department_id JOIN head AS T3 ON T2.head_id = T3.head_id WHERE T1.name = 'Treasury' INTERSECT SELECT T3.born_state FROM department AS T1 JOIN management AS T2 ON T1.department_id = T2.department_id JOIN head AS T3 ON T2.head_id = ... | CREATE TABLE management (department_id VARCHAR(255), head_id VARCHAR(255)); CREATE TABLE head (born_state VARCHAR(255), head_id VARCHAR(255)); CREATE TABLE department (department_id VARCHAR(255), name VARCHAR(255)) | generic | extra | extra | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 3 | 1 | 0 | {
"split": "train",
"row_index": 13
} |
Which department has more than 1 head at a time? List the id, name and the number of heads. | SELECT T1.department_id, T1.name, COUNT(*) FROM management AS T2 JOIN department AS T1 ON T1.department_id = T2.department_id GROUP BY T1.department_id HAVING COUNT(*) > 1 | CREATE TABLE management (department_id VARCHAR(255), role VARCHAR(255)); CREATE TABLE department (department_id VARCHAR(255), name VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 2 | 0 | 1 | {
"split": "train",
"row_index": 14
} |
Which head's name has the substring 'Ha'? List the id and name. | SELECT head_id, name FROM head WHERE name LIKE '%Ha%' | CREATE TABLE head (head_id VARCHAR(255), name VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 2 | 0 | 1 | {
"split": "train",
"row_index": 15
} |
How many farms are there? | SELECT COUNT(*) FROM farm | CREATE TABLE farm (Id VARCHAR(255), name VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 0 | 0 | 0 | {
"split": "train",
"row_index": 16
} |
List the total number of horses on farms in ascending order. | SELECT Total_Horses FROM farm ORDER BY Total_Horses | CREATE TABLE farm (Total_Horses VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 17
} |
What are the hosts of competitions whose theme is not "Aliens"? | SELECT Hosts FROM farm_competition WHERE Theme <> 'Aliens' | CREATE TABLE farm_competition (Hosts VARCHAR(255), Theme VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 18
} |
What are the themes of farm competitions sorted by year in ascending order? | SELECT Theme FROM farm_competition ORDER BY YEAR | CREATE TABLE farm_competition (Theme VARCHAR(255), YEAR VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 19
} |
What are the maximum and minimum number of cows across all farms. | SELECT MAX(Cows), MIN(Cows) FROM farm | CREATE TABLE farm (Cows INTEGER, id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 0 | 0 | 2 | {
"split": "train",
"row_index": 21
} |
How many different statuses do cities have? | SELECT COUNT(DISTINCT Status) FROM city | CREATE TABLE city (Status VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 0 | 0 | 0 | {
"split": "train",
"row_index": 22
} |
List official names of cities in descending order of population. | SELECT Official_Name FROM city ORDER BY Population DESC | CREATE TABLE city (Official_Name VARCHAR(255), Population VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 23
} |
List the official name and status of the city with the largest population. | SELECT Official_Name, Status FROM city ORDER BY Population DESC LIMIT 1 | CREATE TABLE city (Official_Name VARCHAR(255), Status VARCHAR(255), Population VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 2 | 0 | 1 | {
"split": "train",
"row_index": 24
} |
Show the years and the official names of the host cities of competitions. | SELECT T2.Year, T1.Official_Name FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID | CREATE TABLE city (Official_Name VARCHAR(255), City_ID VARCHAR(255)); CREATE TABLE farm_competition (Year VARCHAR(255), Host_city_ID VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 25
} |
Show the official names of the cities that have hosted more than one competition. | SELECT T1.Official_Name FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID GROUP BY T2.Host_city_ID HAVING COUNT(*) > 1 | CREATE TABLE farm_competition (Host_city_ID VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT); CREATE TABLE city (Official_Name VARCHAR(255), City_ID VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 2 | 0 | 0 | {
"split": "train",
"row_index": 26
} |
Show the status of the city that has hosted the greatest number of competitions. | SELECT T1.Status FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID GROUP BY T2.Host_city_ID ORDER BY COUNT(*) DESC LIMIT 1 | CREATE TABLE city (Status VARCHAR(255), City_ID VARCHAR(255)); CREATE TABLE farm_competition (Host_city_ID VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | extra | extra | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 4 | 0 | 0 | {
"split": "train",
"row_index": 27
} |
Please show the themes of competitions with host cities having populations larger than 1000. | SELECT T2.Theme FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID WHERE T1.Population > 1000 | CREATE TABLE city (City_ID VARCHAR(255), Population INTEGER); CREATE TABLE farm_competition (Theme VARCHAR(255), Host_city_ID VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 2 | 0 | 0 | {
"split": "train",
"row_index": 28
} |
Please show the different statuses of cities and the average population of cities with each status. | SELECT Status, AVG(Population) FROM city GROUP BY Status | CREATE TABLE city (Status VARCHAR(255), Population INTEGER) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 29
} |
Please show the different statuses, ordered by the number of cities that have each. | SELECT Status FROM city GROUP BY Status ORDER BY COUNT(*) | CREATE TABLE city (Status VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 2 | 0 | 0 | {
"split": "train",
"row_index": 30
} |
List the most common type of Status across cities. | SELECT Status FROM city GROUP BY Status ORDER BY COUNT(*) DESC LIMIT 1 | CREATE TABLE city (Status VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | hard | hard | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 3 | 0 | 0 | {
"split": "train",
"row_index": 31
} |
List the official names of cities that have not held any competition. | SELECT Official_Name FROM city WHERE NOT City_ID IN (SELECT Host_city_ID FROM farm_competition) | CREATE TABLE farm_competition (Official_Name VARCHAR(255), City_ID VARCHAR(255), Host_city_ID VARCHAR(255)); CREATE TABLE city (Official_Name VARCHAR(255), City_ID VARCHAR(255), Host_city_ID VARCHAR(255)) | generic | hard | hard | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 1 | 0 | {
"split": "train",
"row_index": 32
} |
Show the status shared by cities with population bigger than 1500 and smaller than 500. | SELECT Status FROM city WHERE Population > 1500 INTERSECT SELECT Status FROM city WHERE Population < 500 | CREATE TABLE city (Status VARCHAR(255), Population INTEGER) | generic | hard | hard | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 1 | 0 | {
"split": "train",
"row_index": 33
} |
Find the official names of cities with population bigger than 1500 or smaller than 500. | SELECT Official_Name FROM city WHERE Population > 1500 OR Population < 500 | CREATE TABLE city (Official_Name VARCHAR(255), Population VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 2 | 0 | 1 | {
"split": "train",
"row_index": 34
} |
Show the census ranking of cities whose status are not "Village". | SELECT Census_Ranking FROM city WHERE Status <> 'Village' | CREATE TABLE city (Census_Ranking VARCHAR(255), Status VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 35
} |
which course has most number of registered students? | SELECT T1.course_name FROM courses AS T1 JOIN student_course_registrations AS T2 ON T1.course_id = T2.course_Id GROUP BY T1.course_id ORDER BY COUNT(*) DESC LIMIT 1 | CREATE TABLE courses (course_name VARCHAR(255), course_id VARCHAR(255)); CREATE TABLE student_course_registrations (course_Id VARCHAR(255), student_id VARCHAR(255)) | generic | extra | extra | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 4 | 0 | 0 | {
"split": "train",
"row_index": 36
} |
what is id of students who registered some courses but the least number of courses in these students? | SELECT student_id FROM student_course_registrations GROUP BY student_id ORDER BY COUNT(*) LIMIT 1 | CREATE TABLE student_course_registrations (student_id VARCHAR(255), course_id VARCHAR(255)) | generic | hard | hard | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 3 | 0 | 0 | {
"split": "train",
"row_index": 37
} |
what are the first name and last name of all candidates? | SELECT T2.first_name, T2.last_name FROM candidates AS T1 JOIN people AS T2 ON T1.candidate_id = T2.person_id | CREATE TABLE candidates (candidate_id VARCHAR(255), person_id VARCHAR(255)); CREATE TABLE people (first_name VARCHAR(255), last_name VARCHAR(255), person_id VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 38
} |
List the id of students who never attends courses? | SELECT student_id FROM students WHERE NOT student_id IN (SELECT student_id FROM student_course_attendance) | CREATE TABLE student_course_attendance (student_id VARCHAR(255), course_id VARCHAR(255)); CREATE TABLE students (student_id VARCHAR(255), student_name VARCHAR(255)) | generic | hard | hard | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 1 | 0 | {
"split": "train",
"row_index": 39
} |
List the id of students who attended some courses? | SELECT student_id FROM student_course_attendance | CREATE TABLE student_course_attendance (student_id VARCHAR(255), course_id VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 0 | 0 | 0 | {
"split": "train",
"row_index": 40
} |
What are the ids of all students for courses and what are the names of those courses? | SELECT T1.student_id, T2.course_name FROM student_course_registrations AS T1 JOIN courses AS T2 ON T1.course_id = T2.course_id | CREATE TABLE courses (course_name VARCHAR(255), course_id VARCHAR(255)); CREATE TABLE student_course_registrations (student_id VARCHAR(255), course_id VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 41
} |
What is detail of the student who most recently registered course? | SELECT T2.student_details FROM student_course_registrations AS T1 JOIN students AS T2 ON T1.student_id = T2.student_id ORDER BY T1.registration_date DESC LIMIT 1 | CREATE TABLE student_course_registrations (student_id VARCHAR(255), registration_date VARCHAR(255)); CREATE TABLE students (student_details VARCHAR(255), student_id VARCHAR(255)) | generic | hard | hard | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 3 | 0 | 0 | {
"split": "train",
"row_index": 42
} |
How many students attend course English? | SELECT COUNT(*) FROM courses AS T1 JOIN student_course_attendance AS T2 ON T1.course_id = T2.course_id WHERE T1.course_name = 'English' | CREATE TABLE student_course_attendance (course_id VARCHAR(255), student_id VARCHAR(255)); CREATE TABLE courses (course_id VARCHAR(255), course_name VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 2 | 0 | 0 | {
"split": "train",
"row_index": 43
} |
How many courses do the student whose id is 171 attend? | SELECT COUNT(*) FROM courses AS T1 JOIN student_course_attendance AS T2 ON T1.course_id = T2.course_id WHERE T2.student_id = 171 | CREATE TABLE courses (course_id VARCHAR(255), course_name VARCHAR(255)); CREATE TABLE student_course_attendance (course_id VARCHAR(255), student_id VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 2 | 0 | 0 | {
"split": "train",
"row_index": 44
} |
Find id of the candidate whose email is stanley.monahan@example.org? | SELECT T2.candidate_id FROM people AS T1 JOIN candidates AS T2 ON T1.person_id = T2.candidate_id WHERE T1.email_address = 'stanley.monahan@example.org' | CREATE TABLE candidates (candidate_id VARCHAR(255), person_id VARCHAR(255)); CREATE TABLE people (person_id VARCHAR(255), email_address VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 2 | 0 | 0 | {
"split": "train",
"row_index": 45
} |
Find id of the candidate who most recently accessed the course? | SELECT candidate_id FROM candidate_assessments ORDER BY assessment_date DESC LIMIT 1 | CREATE TABLE candidate_assessments (candidate_id VARCHAR(255), assessment_date VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 2 | 0 | 0 | {
"split": "train",
"row_index": 46
} |
What is detail of the student who registered the most number of courses? | SELECT T1.student_details FROM students AS T1 JOIN student_course_registrations AS T2 ON T1.student_id = T2.student_id GROUP BY T1.student_id ORDER BY COUNT(*) DESC LIMIT 1 | CREATE TABLE students (student_details VARCHAR(255), student_id VARCHAR(255)); CREATE TABLE student_course_registrations (student_id VARCHAR(255), course_id VARCHAR(255)) | generic | extra | extra | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 4 | 0 | 0 | {
"split": "train",
"row_index": 47
} |
List the id of students who registered some courses and the number of their registered courses? | SELECT T1.student_id, COUNT(*) FROM students AS T1 JOIN student_course_registrations AS T2 ON T1.student_id = T2.student_id GROUP BY T1.student_id | CREATE TABLE students (student_id VARCHAR(255), name VARCHAR(255)); CREATE TABLE student_course_registrations (student_id VARCHAR(255), course_id VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 2 | 0 | 1 | {
"split": "train",
"row_index": 48
} |
How many registed students do each course have? List course name and the number of their registered students? | SELECT T3.course_name, COUNT(*) FROM students AS T1 JOIN student_course_registrations AS T2 ON T1.student_id = T2.student_id JOIN courses AS T3 ON T2.course_id = T3.course_id GROUP BY T2.course_id | CREATE TABLE students (student_id VARCHAR(255), name VARCHAR(255)); CREATE TABLE courses (course_name VARCHAR(255), course_id VARCHAR(255)); CREATE TABLE student_course_registrations (course_id VARCHAR(255), student_id VARCHAR(255)) | generic | hard | hard | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 3 | 0 | 1 | {
"split": "train",
"row_index": 49
} |
Find id of candidates whose assessment code is "Pass"? | SELECT candidate_id FROM candidate_assessments WHERE asessment_outcome_code = 'Pass' | CREATE TABLE candidate_assessments (candidate_id VARCHAR(255), asessment_outcome_code VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 50
} |
Find the cell mobile number of the candidates whose assessment code is "Fail"? | SELECT T3.cell_mobile_number FROM candidates AS T1 JOIN candidate_assessments AS T2 ON T1.candidate_id = T2.candidate_id JOIN people AS T3 ON T1.candidate_id = T3.person_id WHERE T2.asessment_outcome_code = 'Fail' | CREATE TABLE candidates (candidate_id VARCHAR(255), name VARCHAR(255)); CREATE TABLE people (cell_mobile_number VARCHAR(255), person_id VARCHAR(255)); CREATE TABLE candidate_assessments (candidate_id VARCHAR(255), asessment_outcome_code VARCHAR(255)) | generic | hard | hard | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 3 | 0 | 0 | {
"split": "train",
"row_index": 51
} |
What are the id of students who registered course 301? | SELECT student_id FROM student_course_attendance WHERE course_id = 301 | CREATE TABLE student_course_attendance (student_id VARCHAR(255), course_id VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 52
} |
What is the id of the student who most recently registered course 301? | SELECT student_id FROM student_course_attendance WHERE course_id = 301 ORDER BY date_of_attendance DESC LIMIT 1 | CREATE TABLE student_course_attendance (student_id VARCHAR(255), course_id VARCHAR(255), date_of_attendance VARCHAR(255)) | generic | hard | hard | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 3 | 0 | 0 | {
"split": "train",
"row_index": 53
} |
Find distinct cities of addresses of people? | SELECT DISTINCT T1.city FROM addresses AS T1 JOIN people_addresses AS T2 ON T1.address_id = T2.address_id | CREATE TABLE addresses (city VARCHAR(255), address_id VARCHAR(255)); CREATE TABLE people_addresses (address_id VARCHAR(255), person_id VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 54
} |
Find distinct cities of address of students? | SELECT DISTINCT T1.city FROM addresses AS T1 JOIN people_addresses AS T2 ON T1.address_id = T2.address_id JOIN students AS T3 ON T2.person_id = T3.student_id | CREATE TABLE students (student_id VARCHAR(255), name VARCHAR(255)); CREATE TABLE addresses (city VARCHAR(255), address_id VARCHAR(255)); CREATE TABLE people_addresses (address_id VARCHAR(255), person_id VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 2 | 0 | 0 | {
"split": "train",
"row_index": 55
} |
List the names of courses in alphabetical order? | SELECT course_name FROM courses ORDER BY course_name | CREATE TABLE courses (course_name VARCHAR(255), course_id VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 56
} |
List the first names of people in alphabetical order? | SELECT first_name FROM people ORDER BY first_name | CREATE TABLE people (first_name VARCHAR(255), last_name VARCHAR(255)) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 57
} |
What are the id of students who registered courses or attended courses? | SELECT student_id FROM student_course_registrations UNION SELECT student_id FROM student_course_attendance | CREATE TABLE student_course_attendance (student_id VARCHAR(255), course_id VARCHAR(255)); CREATE TABLE student_course_registrations (student_id VARCHAR(255), course_id VARCHAR(255)) | generic | hard | hard | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 0 | 1 | 0 | {
"split": "train",
"row_index": 58
} |
Find the id of courses which are registered or attended by student whose id is 121? | SELECT course_id FROM student_course_registrations WHERE student_id = 121 UNION SELECT course_id FROM student_course_attendance WHERE student_id = 121 | CREATE TABLE student_course_attendance (course_id VARCHAR(255), student_id VARCHAR(255)); CREATE TABLE student_course_registrations (course_id VARCHAR(255), student_id VARCHAR(255)) | generic | hard | hard | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 1 | 0 | {
"split": "train",
"row_index": 59
} |
List the id of students who registered course statistics in the order of registration date. | SELECT T2.student_id FROM courses AS T1 JOIN student_course_registrations AS T2 ON T1.course_id = T2.course_id WHERE T1.course_name = 'statistics' ORDER BY T2.registration_date | CREATE TABLE student_course_registrations (student_id VARCHAR(255), course_id VARCHAR(255), registration_date VARCHAR(255)); CREATE TABLE courses (course_id VARCHAR(255), course_name VARCHAR(255)) | generic | hard | hard | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 3 | 0 | 0 | {
"split": "train",
"row_index": 61
} |
List the id of students who attended statistics courses in the order of attendance date. | SELECT T2.student_id FROM courses AS T1 JOIN student_course_attendance AS T2 ON T1.course_id = T2.course_id WHERE T1.course_name = 'statistics' ORDER BY T2.date_of_attendance | CREATE TABLE student_course_attendance (student_id VARCHAR(255), course_id VARCHAR(255), date_of_attendance VARCHAR(255)); CREATE TABLE courses (course_id VARCHAR(255), course_name VARCHAR(255)) | generic | hard | hard | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 3 | 0 | 0 | {
"split": "train",
"row_index": 62
} |
Give me the dates when the max temperature was higher than 85. | SELECT date FROM weather WHERE max_temperature_f > 85 | CREATE TABLE weather (date VARCHAR(255), max_temperature_f INTEGER) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 63
} |
What are the names of stations that have latitude lower than 37.5? | SELECT name FROM station WHERE lat < 37.5 | CREATE TABLE station (name VARCHAR(255), lat INTEGER, long INTEGER) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 64
} |
For each city, return the highest latitude among its stations. | SELECT city, MAX(lat) FROM station GROUP BY city | CREATE TABLE station (city VARCHAR(255), lat INTEGER, long INTEGER) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 65
} |
Give me the start station and end station for the trips with the three oldest id. | SELECT start_station_name, end_station_name FROM trip ORDER BY id LIMIT 3 | CREATE TABLE trip (start_station_name VARCHAR(255), end_station_name VARCHAR(255), id VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 2 | 0 | 1 | {
"split": "train",
"row_index": 66
} |
What is the average latitude and longitude of stations located in San Jose city? | SELECT AVG(lat), AVG(long) FROM station WHERE city = 'San Jose' | CREATE TABLE station (lat INTEGER, long INTEGER, city VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 2 | {
"split": "train",
"row_index": 67
} |
What is the id of the trip that has the shortest duration? | SELECT id FROM trip ORDER BY duration LIMIT 1 | CREATE TABLE trip (id VARCHAR(255), duration VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 2 | 0 | 0 | {
"split": "train",
"row_index": 68
} |
What is the total and maximum duration of trips with bike id 636? | SELECT SUM(duration), MAX(duration) FROM trip WHERE bike_id = 636 | CREATE TABLE trip (duration INTEGER, bike_id VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 2 | {
"split": "train",
"row_index": 69
} |
For each zip code, return the average mean temperature of August there. | SELECT zip_code, AVG(mean_temperature_f) FROM weather WHERE date LIKE '8/%' GROUP BY zip_code | CREATE TABLE weather (zip_code VARCHAR(255), mean_temperature_f INTEGER, date VARCHAR(255)) | generic | hard | hard | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 3 | 0 | 1 | {
"split": "train",
"row_index": 70
} |
From the trip record, find the number of unique bikes. | SELECT COUNT(DISTINCT bike_id) FROM trip | CREATE TABLE trip (bike_id VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 0 | 0 | 0 | {
"split": "train",
"row_index": 71
} |
What is the number of distinct cities the stations are located at? | SELECT COUNT(DISTINCT city) FROM station | CREATE TABLE station (city VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 0 | 0 | 0 | {
"split": "train",
"row_index": 72
} |
How many stations does Mountain View city has? | SELECT COUNT(*) FROM station WHERE city = 'Mountain View' | CREATE TABLE station (city VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 73
} |
Return the unique name for stations that have ever had 7 bikes available. | SELECT DISTINCT T1.name FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id WHERE T2.bikes_available = 7 | CREATE TABLE station (name VARCHAR(255), id VARCHAR(255)); CREATE TABLE status (station_id VARCHAR(255), bikes_available VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 2 | 0 | 0 | {
"split": "train",
"row_index": 74
} |
Which start station had the most trips starting from August? Give me the name and id of the station. | SELECT start_station_name, start_station_id FROM trip WHERE start_date LIKE '8/%' GROUP BY start_station_name ORDER BY COUNT(*) DESC LIMIT 1 | CREATE TABLE trip (start_station_name VARCHAR(255), start_station_id VARCHAR(255), start_date VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | extra | extra | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 5 | 0 | 1 | {
"split": "train",
"row_index": 75
} |
Which bike traveled the most often in zip code 94002? | SELECT bike_id FROM trip WHERE zip_code = 94002 GROUP BY bike_id ORDER BY COUNT(*) DESC LIMIT 1 | CREATE TABLE trip (bike_id VARCHAR(255), zip_code VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | extra | extra | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 4 | 0 | 0 | {
"split": "train",
"row_index": 76
} |
How many days had both mean humidity above 50 and mean visibility above 8? | SELECT COUNT(*) FROM weather WHERE mean_humidity > 50 AND mean_visibility_miles > 8 | CREATE TABLE weather (mean_humidity VARCHAR(255), mean_visibility_miles VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 77
} |
What is the latitude, longitude, city of the station from which the shortest trip started? | SELECT T1.lat, T1.long, T1.city FROM station AS T1 JOIN trip AS T2 ON T1.id = T2.start_station_id ORDER BY T2.duration LIMIT 1 | CREATE TABLE trip (start_station_id VARCHAR(255), duration VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT); CREATE TABLE station (lat VARCHAR(255), long VARCHAR(255), city VARCHAR(255), id VARCHAR(255)) | generic | hard | hard | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 3 | 0 | 1 | {
"split": "train",
"row_index": 78
} |
What are the ids of stations that are located in San Francisco and have average bike availability above 10. | SELECT id FROM station WHERE city = 'San Francisco' INTERSECT SELECT station_id FROM status GROUP BY station_id HAVING AVG(bikes_available) > 10 | CREATE TABLE status (id VARCHAR(255), station_id VARCHAR(255), city VARCHAR(255), bikes_available INTEGER); CREATE TABLE station (id VARCHAR(255), station_id VARCHAR(255), city VARCHAR(255), bikes_available INTEGER) | generic | hard | hard | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 1 | 0 | {
"split": "train",
"row_index": 79
} |
What is the 3 most common cloud cover rates in the region of zip code 94107? | SELECT cloud_cover FROM weather WHERE zip_code = 94107 GROUP BY cloud_cover ORDER BY COUNT(*) DESC LIMIT 3 | CREATE TABLE weather (cloud_cover VARCHAR(255), zip_code VARCHAR(255)) | generic | extra | extra | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 4 | 0 | 0 | {
"split": "train",
"row_index": 81
} |
What is the zip code in which the average mean sea level pressure is the lowest? | SELECT zip_code FROM weather GROUP BY zip_code ORDER BY AVG(mean_sea_level_pressure_inches) LIMIT 1 | CREATE TABLE weather (zip_code VARCHAR(255), mean_sea_level_pressure_inches INTEGER) | generic | hard | hard | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 3 | 0 | 0 | {
"split": "train",
"row_index": 82
} |
What is the average bike availability in stations that are not located in Palo Alto? | SELECT AVG(bikes_available) FROM status WHERE NOT station_id IN (SELECT id FROM station WHERE city = 'Palo Alto') | CREATE TABLE status (bikes_available INTEGER, station_id VARCHAR(255), id VARCHAR(255), city VARCHAR(255)); CREATE TABLE station (bikes_available INTEGER, station_id VARCHAR(255), id VARCHAR(255), city VARCHAR(255)) | generic | extra | extra | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 1 | 1 | {
"split": "train",
"row_index": 83
} |
What is the average longitude of stations that never had bike availability more than 10? | SELECT AVG(long) FROM station WHERE NOT id IN (SELECT station_id FROM status GROUP BY station_id HAVING MAX(bikes_available) > 10) | CREATE TABLE station (long INTEGER, id VARCHAR(255), station_id VARCHAR(255), bikes_available INTEGER); CREATE TABLE status (long INTEGER, id VARCHAR(255), station_id VARCHAR(255), bikes_available INTEGER) | generic | extra | extra | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 1 | 1 | {
"split": "train",
"row_index": 84
} |
When and in what zip code did max temperature reach 80? | SELECT date, zip_code FROM weather WHERE max_temperature_f >= 80 | CREATE TABLE weather (date VARCHAR(255), zip_code VARCHAR(255), max_temperature_f VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 85
} |
Give me ids for all the trip that took place in a zip code area with average mean temperature above 60. | SELECT T1.id FROM trip AS T1 JOIN weather AS T2 ON T1.zip_code = T2.zip_code GROUP BY T2.zip_code HAVING AVG(T2.mean_temperature_f) > 60 | CREATE TABLE trip (id VARCHAR(255), zip_code VARCHAR(255)); CREATE TABLE weather (zip_code VARCHAR(255), mean_temperature_f INTEGER) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 2 | 0 | 0 | {
"split": "train",
"row_index": 86
} |
For each zip code, return how many times max wind speed reached 25? | SELECT zip_code, COUNT(*) FROM weather WHERE max_wind_Speed_mph >= 25 GROUP BY zip_code | CREATE TABLE weather (zip_code VARCHAR(255), max_wind_Speed_mph VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 2 | 0 | 1 | {
"split": "train",
"row_index": 87
} |
On which day and in which zip code was the min dew point lower than any day in zip code 94107? | SELECT date, zip_code FROM weather WHERE min_dew_point_f < (SELECT MIN(min_dew_point_f) FROM weather WHERE zip_code = 94107) | CREATE TABLE weather (date VARCHAR(255), zip_code VARCHAR(255), min_dew_point_f INTEGER) | generic | extra | extra | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 1 | 1 | {
"split": "train",
"row_index": 88
} |
For each trip, return its ending station's installation date. | SELECT T1.id, T2.installation_date FROM trip AS T1 JOIN station AS T2 ON T1.end_station_id = T2.id | CREATE TABLE station (installation_date VARCHAR(255), id VARCHAR(255)); CREATE TABLE trip (id VARCHAR(255), end_station_id VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 89
} |
Which trip started from the station with the largest dock count? Give me the trip id. | SELECT T1.id FROM trip AS T1 JOIN station AS T2 ON T1.start_station_id = T2.id ORDER BY T2.dock_count DESC LIMIT 1 | CREATE TABLE trip (id VARCHAR(255), start_station_id VARCHAR(255)); CREATE TABLE station (id VARCHAR(255), dock_count VARCHAR(255)) | generic | hard | hard | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 3 | 0 | 0 | {
"split": "train",
"row_index": 90
} |
Count the number of trips that did not end in San Francisco city. | SELECT COUNT(*) FROM trip AS T1 JOIN station AS T2 ON T1.end_station_id = T2.id WHERE T2.city <> 'San Francisco' | CREATE TABLE trip (end_station_id VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT); CREATE TABLE station (id VARCHAR(255), city VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 2 | 0 | 0 | {
"split": "train",
"row_index": 91
} |
In zip code 94107, on which day neither Fog nor Rain was not observed? | SELECT date FROM weather WHERE zip_code = 94107 AND EVENTS <> 'Fog' AND EVENTS <> 'Rain' | CREATE TABLE weather (date VARCHAR(255), EVENTS VARCHAR(255), zip_code VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 92
} |
What are the ids of stations that have latitude above 37.4 and never had bike availability below 7? | SELECT id FROM station WHERE lat > 37.4 EXCEPT SELECT station_id FROM status GROUP BY station_id HAVING MIN(bikes_available) < 7 | CREATE TABLE status (id VARCHAR(255), station_id VARCHAR(255), lat INTEGER, bikes_available INTEGER); CREATE TABLE station (id VARCHAR(255), station_id VARCHAR(255), lat INTEGER, bikes_available INTEGER) | generic | hard | hard | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 1 | 0 | {
"split": "train",
"row_index": 93
} |
What are the name, latitude, and city of the station with the lowest latitude? | SELECT name, lat, city FROM station ORDER BY lat LIMIT 1 | CREATE TABLE station (name VARCHAR(255), lat VARCHAR(255), city VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 2 | 0 | 1 | {
"split": "train",
"row_index": 95
} |
What are the date, mean temperature and mean humidity for the top 3 days with the largest max gust speeds? | SELECT date, mean_temperature_f, mean_humidity FROM weather ORDER BY max_gust_speed_mph DESC LIMIT 3 | CREATE TABLE weather (date VARCHAR(255), mean_temperature_f VARCHAR(255), mean_humidity VARCHAR(255), max_gust_speed_mph VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 2 | 0 | 1 | {
"split": "train",
"row_index": 96
} |
List the name and the number of stations for all the cities that have at least 15 stations. | SELECT city, COUNT(*) FROM station GROUP BY city HAVING COUNT(*) >= 15 | CREATE TABLE station (city VARCHAR(255), id INTEGER PRIMARY KEY AUTO_INCREMENT) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 97
} |
Find the ids and names of stations from which at least 200 trips started. | SELECT start_station_id, start_station_name FROM trip GROUP BY start_station_name HAVING COUNT(*) >= 200 | CREATE TABLE trip (start_station_id VARCHAR(255), start_station_name VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 1 | {
"split": "train",
"row_index": 98
} |
Find the zip code in which the average mean visibility is lower than 10. | SELECT zip_code FROM weather GROUP BY zip_code HAVING AVG(mean_visibility_miles) < 10 | CREATE TABLE weather (zip_code VARCHAR(255), mean_visibility_miles INTEGER) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 99
} |
List all the cities in a decreasing order of each city's stations' highest latitude. | SELECT city FROM station GROUP BY city ORDER BY MAX(lat) DESC | CREATE TABLE station (city VARCHAR(255), lat INTEGER, long INTEGER) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 2 | 0 | 0 | {
"split": "train",
"row_index": 100
} |
What are the dates that had the top 5 cloud cover rates? Also tell me the cloud cover rate. | SELECT date, cloud_cover FROM weather ORDER BY cloud_cover DESC LIMIT 5 | CREATE TABLE weather (date VARCHAR(255), cloud_cover VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 2 | 0 | 1 | {
"split": "train",
"row_index": 101
} |
What are the ids and durations of the trips with the top 3 durations? | SELECT id, duration FROM trip ORDER BY duration DESC LIMIT 3 | CREATE TABLE trip (id VARCHAR(255), duration VARCHAR(255)) | generic | medium | medium | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 2 | 0 | 1 | {
"split": "train",
"row_index": 102
} |
List all the distinct stations from which a trip of duration below 100 started. | SELECT DISTINCT start_station_name FROM trip WHERE duration < 100 | CREATE TABLE trip (start_station_name VARCHAR(255), duration INTEGER) | generic | easy | easy | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 1 | 0 | 0 | {
"split": "train",
"row_index": 105
} |
Find all the zip codes in which the max dew point have never reached 70. | SELECT DISTINCT zip_code FROM weather EXCEPT SELECT DISTINCT zip_code FROM weather WHERE max_dew_point_f >= 70 | CREATE TABLE weather (zip_code VARCHAR(255), max_dew_point_f VARCHAR(255)) | generic | hard | hard | classified | valid | valid | valid | [] | [] | [] | [] | [
"validated",
"extended",
"classified"
] | null | 0 | 1 | 0 | {
"split": "train",
"row_index": 106
} |
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