db_id
stringclasses 140
values | question
stringlengths 16
224
| schema
stringclasses 140
values | summarized-schema
stringlengths 18
304
| shrink-score
float64 0
1
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|---|---|---|---|---|
movie_1
|
For each director, what is the title and score of their most poorly rated movie?
|
movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)
|
movie : title (text) , director (text) , mid (number) | rating : stars (number) , mid (number)
| 0.5 |
movie_1
|
What is the name of the movie that is rated by most of times?
|
movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)
|
movie : title (text) , mid (number) | rating : mid (number)
| 0.7 |
movie_1
|
What is the name of the movie that has been reviewed the most?
|
movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)
|
movie : title (text) , mid (number) | rating : mid (number)
| 0.7 |
movie_1
|
What are the titles of all movies that have rating star is between 3 and 5?
|
movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)
|
movie : title (text) , mid (number) | rating : mid (number) , stars (number)
| 0.6 |
movie_1
|
What are the titles of all movies that have between 3 and 5 stars?
|
movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)
|
movie : title (text) , mid (number) | rating : mid (number) , stars (number)
| 0.6 |
movie_1
|
Find the names of reviewers who had given higher than 3 star ratings.
|
movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)
|
reviewer : name (text) , rid (number) | rating : rid (number) , stars (number)
| 0.6 |
movie_1
|
What are the names of the reviewers who have rated a movie more than 3 stars before?
|
movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)
|
reviewer : name (text) , rid (number) | rating : rid (number) , stars (number)
| 0.6 |
movie_1
|
Find the average rating star for each movie that are not reviewed by Brittany Harris.
|
movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)
|
rating : mid (number) , stars (number) , rid (number) | reviewer : rid (number) , name (text)
| 0.5 |
movie_1
|
What is the average rating for each movie that has never been reviewed by Brittany Harris?
|
movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)
|
rating : mid (number) , stars (number) , rid (number) | reviewer : rid (number) , name (text)
| 0.5 |
movie_1
|
What are the ids of the movies that are not reviewed by Brittany Harris.
|
movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)
|
rating : mid (number) , rid (number) | reviewer : rid (number) , name (text)
| 0.6 |
movie_1
|
What are the ids of all moviest hat have not been reviewed by Britanny Harris?
|
movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)
|
rating : mid (number) , rid (number) | reviewer : rid (number) , name (text)
| 0.6 |
movie_1
|
Find the average rating star for each movie that received at least 2 ratings.
|
movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)
|
rating : mid (number) , stars (number)
| 0.8 |
movie_1
|
For each movie that received more than 3 reviews, what is the average rating?
|
movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)
|
rating : mid (number) , stars (number)
| 0.8 |
movie_1
|
find the ids of reviewers who did not give 4 star.
|
movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)
|
rating : rid (number) , stars (number)
| 0.8 |
movie_1
|
What are the ids of all reviewers who did not give 4 stars?
|
movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)
|
rating : rid (number) , stars (number)
| 0.8 |
movie_1
|
Find the ids of reviewers who didn't only give 4 star.
|
movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)
|
rating : rid (number) , stars (number)
| 0.8 |
movie_1
|
What are the ids of all reviewers who have not given 4 stars at least once?
|
movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)
|
rating : rid (number) , stars (number)
| 0.8 |
movie_1
|
What are names of the movies that are either made after 2000 or reviewed by Brittany Harris?
|
movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)
|
movie : title (text) , mid (number) , year (number) | rating : mid (number) , rid (number) | reviewer : rid (number) , name (text)
| 0.3 |
movie_1
|
What are the names of all movies that were made after 2000 or reviewed by Brittany Harris?
|
movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)
|
movie : title (text) , mid (number) , year (number) | rating : mid (number) , rid (number) | reviewer : rid (number) , name (text)
| 0.3 |
movie_1
|
What are names of the movies that are either made before 1980 or directed by James Cameron?
|
movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)
|
movie : title (text) , director (text) , year (number)
| 0.7 |
movie_1
|
What are the names of all movies made before 1980 or had James Cameron as the director?
|
movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)
|
movie : title (text) , director (text) , year (number)
| 0.7 |
movie_1
|
What are the names of reviewers who had rated 3 star and 4 star?
|
movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)
|
reviewer : name (text) , rid (number) | rating : rid (number) , stars (number)
| 0.6 |
movie_1
|
What are the names of all reviewers that have given 3 or 4 stars for reviews?
|
movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)
|
reviewer : name (text) , rid (number) | rating : rid (number) , stars (number)
| 0.6 |
movie_1
|
What are the names of movies that get 3 star and 4 star?
|
movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)
|
movie : title (text) , mid (number) | rating : mid (number) , stars (number)
| 0.6 |
movie_1
|
What are the names of all movies that received 3 or 4 stars?
|
movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)
|
movie : title (text) , mid (number) | rating : mid (number) , stars (number)
| 0.6 |
county_public_safety
|
How many counties are there?
|
county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)
|
county_public_safety : county_id (number)
| 0.944444 |
county_public_safety
|
Count the number of countries.
|
county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)
|
county_public_safety : county_id (number)
| 0.944444 |
county_public_safety
|
List the names of counties in descending order of population.
|
county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)
|
county_public_safety : name (text) , population (number)
| 0.888889 |
county_public_safety
|
What are the names of the counties of public safety, ordered by population descending?
|
county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)
|
county_public_safety : name (text) , population (number)
| 0.888889 |
county_public_safety
|
List the distinct police forces of counties whose location is not on east side.
|
county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)
|
county_public_safety : police_force (text) , location (text)
| 0.888889 |
county_public_safety
|
What are the different police forces of counties that are not located in the East?
|
county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)
|
county_public_safety : police_force (text) , location (text)
| 0.888889 |
county_public_safety
|
What are the minimum and maximum crime rate of counties?
|
county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)
|
county_public_safety : crime_rate (number)
| 0.944444 |
county_public_safety
|
Return the minimum and maximum crime rates across all counties.
|
county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)
|
county_public_safety : crime_rate (number)
| 0.944444 |
county_public_safety
|
Show the crime rates of counties in ascending order of number of police officers.
|
county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)
|
county_public_safety : crime_rate (number) , police_officers (number)
| 0.888889 |
county_public_safety
|
What are the crime rates of counties sorted by number of offices ascending?
|
county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)
|
county_public_safety : crime_rate (number) , police_officers (number)
| 0.888889 |
county_public_safety
|
What are the names of cities in ascending alphabetical order?
|
county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)
|
city : name (text)
| 0.944444 |
county_public_safety
|
Return the names of cities, ordered alphabetically.
|
county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)
|
city : name (text)
| 0.944444 |
county_public_safety
|
What are the percentage of hispanics in cities with the black percentage higher than 10?
|
county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)
|
city : hispanic (number) , black (number)
| 0.888889 |
county_public_safety
|
Return the hispanic percentage for cities in which the black percentage is greater than 10.
|
county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)
|
city : hispanic (number) , black (number)
| 0.888889 |
county_public_safety
|
List the name of the county with the largest population.
|
county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)
|
county_public_safety : name (text) , population (number)
| 0.888889 |
county_public_safety
|
What is the name of the county with the greatest population?
|
county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)
|
county_public_safety : name (text) , population (number)
| 0.888889 |
county_public_safety
|
List the names of the city with the top 5 white percentages.
|
county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)
|
city : name (text) , white (number)
| 0.888889 |
county_public_safety
|
What are the names of the five cities with the greatest proportion of white people?
|
county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)
|
city : name (text) , white (number)
| 0.888889 |
county_public_safety
|
Show names of cities and names of counties they are in.
|
county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)
|
county_public_safety : name (text) , county_id (number) | city : name (text) , county_id (number)
| 0.777778 |
county_public_safety
|
What are the names of cities, as well as the names of the counties they correspond to?
|
county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)
|
county_public_safety : name (text) , county_id (number) | city : name (text) , county_id (number)
| 0.777778 |
county_public_safety
|
Show white percentages of cities and the crime rates of counties they are in.
|
county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)
|
city : white (number) , county_id (number) | county_public_safety : crime_rate (number) , county_id (number)
| 0.777778 |
county_public_safety
|
What are the white percentages of cities, and the corresponding crime rates of the counties they correspond to?
|
county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)
|
city : white (number) , county_id (number) | county_public_safety : crime_rate (number) , county_id (number)
| 0.777778 |
county_public_safety
|
Show the name of cities in the county that has the largest number of police officers.
|
county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)
|
county_public_safety : name (text) , county_id (number) , police_officers (number) | city : name (text) , county_id (number)
| 0.722222 |
county_public_safety
|
What are the names of cities that are in the county with the most police officers?
|
county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)
|
county_public_safety : name (text) , county_id (number) , police_officers (number) | city : name (text) , county_id (number)
| 0.722222 |
county_public_safety
|
Show the number of cities in counties that have a population more than 20000.
|
county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)
|
county_public_safety : county_id (number) , population (number) | city : county_id (number) , city_id (number)
| 0.777778 |
county_public_safety
|
How many cities are in counties that have populations of over 20000?
|
county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)
|
county_public_safety : county_id (number) , population (number) | city : county_id (number) , city_id (number)
| 0.777778 |
county_public_safety
|
Show the crime rate of counties with a city having white percentage more than 90.
|
county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)
|
county_public_safety : crime_rate (number) , county_id (number) | city : county_id (number) , white (number)
| 0.777778 |
county_public_safety
|
What are the crime rates of counties that contain cities that have white percentages of over 90?
|
county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)
|
county_public_safety : crime_rate (number) , county_id (number) | city : county_id (number) , white (number)
| 0.777778 |
county_public_safety
|
Please show the police forces and the number of counties with each police force.
|
county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)
|
county_public_safety : police_force (text) , county_id (number)
| 0.888889 |
county_public_safety
|
How many counties correspond to each police force?
|
county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)
|
county_public_safety : police_force (text) , county_id (number)
| 0.888889 |
county_public_safety
|
What is the location shared by most counties?
|
county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)
|
county_public_safety : location (text) , county_id (number)
| 0.888889 |
county_public_safety
|
Which location has the most corresponding counties?
|
county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)
|
county_public_safety : location (text) , county_id (number)
| 0.888889 |
county_public_safety
|
List the names of counties that do not have any cities.
|
county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)
|
county_public_safety : name (text) , county_id (number) | city : name (text) , county_id (number)
| 0.777778 |
county_public_safety
|
What are the names of counties that do not contain any cities?
|
county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)
|
county_public_safety : name (text) , county_id (number) | city : name (text) , county_id (number)
| 0.777778 |
county_public_safety
|
Show the police force shared by counties with location on the east and west.
|
county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)
|
county_public_safety : police_force (text) , location (text)
| 0.888889 |
county_public_safety
|
Which police forces operate in both counties that are located in the East and in the West?
|
county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)
|
county_public_safety : police_force (text) , location (text)
| 0.888889 |
county_public_safety
|
Show the names of cities in counties that have a crime rate less than 100.
|
county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)
|
county_public_safety : name (text) , county_id (number) , crime_rate (number) | city : name (text) , county_id (number)
| 0.722222 |
county_public_safety
|
What are the names of cities that are in counties that have a crime rate below 100?
|
county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)
|
county_public_safety : name (text) , county_id (number) , crime_rate (number) | city : name (text) , county_id (number)
| 0.722222 |
county_public_safety
|
Show the case burden of counties in descending order of population.
|
county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)
|
county_public_safety : case_burden (number) , population (number)
| 0.888889 |
county_public_safety
|
What are the case burdens of counties, ordered descending by population?
|
county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)
|
county_public_safety : case_burden (number) , population (number)
| 0.888889 |
inn_1
|
Find the names of all modern rooms with a base price below $160 and two beds.
|
rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)
|
rooms : roomname (text) , baseprice (number) , beds (number) , decor (text)
| 0.75 |
inn_1
|
What are the names of modern rooms that have a base price lower than $160 and two beds.
|
rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)
|
rooms : roomname (text) , baseprice (number) , beds (number) , decor (text)
| 0.75 |
inn_1
|
Find all the rooms that have a price higher than 160 and can accommodate more than 2 people. Report room names and ids.
|
rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)
|
rooms : roomname (text) , roomid (text) , baseprice (number) , maxoccupancy (number)
| 0.75 |
inn_1
|
What are the room names and ids of all the rooms that cost more than 160 and can accommodate more than two people.
|
rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)
|
rooms : roomname (text) , roomid (text) , baseprice (number) , maxoccupancy (number)
| 0.75 |
inn_1
|
Find the most popular room in the hotel. The most popular room is the room that had seen the largest number of reservations.
|
rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)
|
rooms : roomname (text) , roomid (text) | reservations : room (text) , code (number)
| 0.75 |
inn_1
|
Which room has the largest number of reservations?
|
rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)
|
rooms : roomname (text) , roomid (text) | reservations : room (text) , code (number)
| 0.75 |
inn_1
|
How many kids stay in the rooms reserved by ROY SWEAZY?
|
rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)
|
reservations : kids (number) , firstname (text) , lastname (text)
| 0.8125 |
inn_1
|
Find the number of kids staying in the rooms reserved by a person called ROY SWEAZ.
|
rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)
|
reservations : kids (number) , firstname (text) , lastname (text)
| 0.8125 |
inn_1
|
How many times does ROY SWEAZY has reserved a room.
|
rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)
|
reservations : firstname (text) , lastname (text) , code (number)
| 0.8125 |
inn_1
|
Find the number of times ROY SWEAZY has reserved a room.
|
rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)
|
reservations : firstname (text) , lastname (text) , code (number)
| 0.8125 |
inn_1
|
Which room has the highest rate? List the room's full name, rate, check in and check out date.
|
rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)
|
rooms : roomname (text) , roomid (text) | reservations : rate (number) , checkin (text) , checkout (text) , room (text)
| 0.625 |
inn_1
|
Return the name, rate, check in and check out date for the room with the highest rate.
|
rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)
|
rooms : roomname (text) , roomid (text) | reservations : rate (number) , checkin (text) , checkout (text) , room (text)
| 0.625 |
inn_1
|
How many adults stay in the room CONRAD SELBIG checked in on Oct 23, 2010?
|
rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)
|
reservations : adults (number) , checkin (text) , firstname (text) , lastname (text)
| 0.75 |
inn_1
|
Find the number of adults for the room reserved and checked in by CONRAD SELBIG on Oct 23, 2010.
|
rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)
|
reservations : adults (number) , checkin (text) , firstname (text) , lastname (text)
| 0.75 |
inn_1
|
How many kids stay in the room DAMIEN TRACHSEL checked in on Sep 21, 2010?
|
rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)
|
reservations : kids (number) , checkin (text) , firstname (text) , lastname (text)
| 0.75 |
inn_1
|
Return the number of kids for the room reserved and checked in by DAMIEN TRACHSEL on Sep 21, 2010.
|
rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)
|
reservations : kids (number) , checkin (text) , firstname (text) , lastname (text)
| 0.75 |
inn_1
|
How many king beds are there?
|
rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)
|
rooms : beds (number) , bedtype (text)
| 0.875 |
inn_1
|
Find the total number of king beds available.
|
rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)
|
rooms : beds (number) , bedtype (text)
| 0.875 |
inn_1
|
List the names and decor of rooms that have a king bed. Sort the list by their price.
|
rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)
|
rooms : roomname (text) , decor (text) , bedtype (text) , baseprice (number)
| 0.75 |
inn_1
|
What are the names and decor of rooms with a king bed? Sort them by their price
|
rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)
|
rooms : roomname (text) , decor (text) , bedtype (text) , baseprice (number)
| 0.75 |
inn_1
|
Which room has cheapest base price? List the room's name and the base price.
|
rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)
|
rooms : roomname (text) , baseprice (number)
| 0.875 |
inn_1
|
What are the room name and base price of the room with the lowest base price?
|
rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)
|
rooms : roomname (text) , baseprice (number)
| 0.875 |
inn_1
|
What is the decor of room Recluse and defiance?
|
rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)
|
rooms : decor (text) , roomname (text)
| 0.875 |
inn_1
|
Return the decor of the room named "Recluse and defiance".
|
rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)
|
rooms : decor (text) , roomname (text)
| 0.875 |
inn_1
|
What is the average base price of different bed type? List bed type and average base price.
|
rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)
|
rooms : bedtype (text) , baseprice (number)
| 0.875 |
inn_1
|
For each bed type, find the average base price of different bed type.
|
rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)
|
rooms : bedtype (text) , baseprice (number)
| 0.875 |
inn_1
|
What is the total number of people who could stay in the modern rooms in this inn?
|
rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)
|
rooms : maxoccupancy (number) , decor (text)
| 0.875 |
inn_1
|
How many people in total can stay in the modern rooms of this inn?
|
rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)
|
rooms : maxoccupancy (number) , decor (text)
| 0.875 |
inn_1
|
What kind of decor has the least number of reservations?
|
rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)
|
rooms : decor (text) , roomid (text) | reservations : room (text)
| 0.8125 |
inn_1
|
What is the least popular kind of decor?
|
rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)
|
rooms : decor (text) , roomid (text) | reservations : room (text)
| 0.8125 |
inn_1
|
List how many times the number of people in the room reached the maximum occupancy of the room. The number of people include adults and kids.
|
rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)
|
reservations : room (text) , adults (number) , kids (number) , code (number) | rooms : roomid (text) , maxoccupancy (number)
| 0.625 |
inn_1
|
How many times the number of adults and kids staying in a room reached the maximum capacity of the room?
|
rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)
|
reservations : room (text) , adults (number) , kids (number) , code (number) | rooms : roomid (text) , maxoccupancy (number)
| 0.625 |
inn_1
|
Find the first and last names of people who payed more than the rooms' base prices.
|
rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)
|
reservations : firstname (text) , lastname (text) , room (text) , rate (number) | rooms : roomid (text) , baseprice (number)
| 0.625 |
inn_1
|
What are the first and last names of people who payed more than the rooms' base prices?
|
rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)
|
reservations : firstname (text) , lastname (text) , room (text) , rate (number) | rooms : roomid (text) , baseprice (number)
| 0.625 |
inn_1
|
How many rooms are there?
|
rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)
|
rooms : roomid (text)
| 0.9375 |
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