question
stringlengths 19
187
| answer
stringlengths 1
333
⌀ | type
stringclasses 5
values | columns_used
stringlengths 2
161
⌀ | column_types
stringclasses 132
values | sample_answer
stringlengths 1
228
⌀ | dataset
stringclasses 80
values |
|---|---|---|---|---|---|---|
List the 3 associated index values for the countries where groceries are most expensive.
|
[109.1, 88.4, 84.6]
|
list[number]
|
[]
|
[]
|
[109.1, 88.4, 84.6]
|
071_COL
|
List the index given to restaurant prices for the top 5 overall most expensive countries for home owners.
|
[97.0, 83.3, 86.8, 50.4, 69.4]
|
list[number]
|
[]
|
[]
|
[97.0, 83.3, 86.8, 50.4, 69.4]
|
071_COL
|
List the 5 lowest indices for cost of life for a person who have to rent.
|
[11.1, 12.7, 12.7, 12.8, 13.7]
|
list[number]
|
[]
|
[]
|
[42.3, 42.4, 43.2, 44.7, 45.6]
|
071_COL
|
List the 5 Local Purchasing Power Index values closest to 100.
|
[99.4, 101.1, 102.4, 102.4, 102.8]
|
list[number]
|
[]
|
[]
|
[101.1, 99.4, 102.4, 102.4, 103.5]
|
071_COL
|
List the names of the top 5 ranked countries.
|
['Switzerland', 'Bahamas', 'Iceland', 'Singapore', 'Barbados']
|
list[category]
|
[]
|
[]
|
['Switzerland', 'Bahamas', 'Iceland', 'Singapore', 'Barbados']
|
071_COL
|
List the 3 countries where I would pay the most for groceries.
|
['Switzerland', 'Iceland', 'Hong Kong (China)']
|
list[category]
|
[]
|
[]
|
['Switzerland', 'Iceland', 'Hong Kong (China)']
|
071_COL
|
List the 3 countries where it's cheapest to rent.
|
['Bangladesh', 'Pakistan', 'Nepal']
|
list[category]
|
[]
|
[]
|
['Singapore', 'Hong Kong (China)', 'Switzerland']
|
071_COL
|
List the countries ranked 10th to 15th.
|
['Australia', 'Austria', 'Canada', 'New Zealand', 'Ireland', 'France']
|
list[category]
|
[]
|
[]
|
['Australia', 'Austria', 'Canada', 'New Zealand', 'Ireland', 'France']
|
071_COL
|
List the top 5 countries by Local Purchasing Power Index.
|
['Luxembourg', 'Kuwait', 'Qatar', 'Switzerland', 'United States']
|
list[category]
|
[]
|
[]
|
['Luxembourg', 'Kuwait', 'Qatar', 'Switzerland', 'United States']
|
071_COL
|
List the 3 countries where restaurants are the cheapest.
|
['Bangladesh', 'Pakistan', 'Indonesia']
|
list[category]
|
[]
|
[]
|
['Hong Kong (China)', 'Singapore', 'Puerto Rico']
|
071_COL
|
Is there any applicant who got a grade better than 330 in their graduate record examination?
|
True
|
boolean
|
[]
|
[]
|
True
|
072_Admissions
|
Is there any applicant who got a score worse than 100 in their English test?
|
True
|
boolean
|
[]
|
[]
|
False
|
072_Admissions
|
Is the best CGPA greater than 9.5?
|
True
|
boolean
|
[]
|
[]
|
True
|
072_Admissions
|
Did any applicant with a perfect university rating score get a grade below 320 in their graduate record examination?
|
True
|
boolean
|
[]
|
[]
|
False
|
072_Admissions
|
Is there an applicant with a chance above 95 per cent of getting into the university they applied to?
|
True
|
boolean
|
[]
|
[]
|
False
|
072_Admissions
|
Is the lowest score assigned to a student's stated purpose for admission worse than 2?
|
True
|
boolean
|
[]
|
[]
|
False
|
072_Admissions
|
Are there any applicants who don't have any research experience previous to their application?
|
True
|
boolean
|
[]
|
[]
|
True
|
072_Admissions
|
Is the average English score better than 105?
|
True
|
boolean
|
[]
|
[]
|
True
|
072_Admissions
|
What is the rating given by the college they applied to to the applicant with the highest CGPA?
|
4.0
|
number
|
[]
|
[]
|
4.0
|
072_Admissions
|
What is the university rating of the applicant with the lowest GRE score?
|
4.0
|
number
|
[]
|
[]
|
1.0
|
072_Admissions
|
Which score given to the stated purpose of admission of the student is most common among applications?
|
4.0
|
number
|
[]
|
[]
|
4.0
|
072_Admissions
|
What is the score for the recommendation letters presented by the student with the lowest English score?
|
2
|
number
|
[]
|
[]
|
4
|
072_Admissions
|
What is the university rating of the applicant who is less likely to be admitted?
|
2.0
|
number
|
[]
|
[]
|
3.0
|
072_Admissions
|
Which rating given to the stated purpose of students is associated with the highest accumulated grade point average?
|
4.5
|
number
|
[]
|
[]
|
4.5
|
072_Admissions
|
Which rating number is most commonly given by universities?
|
3.0
|
number
|
[]
|
[]
|
3.0
|
072_Admissions
|
Do most students have some research experience prior to the application?
|
True
|
boolean
|
[]
|
[]
|
True
|
072_Admissions
|
What is the highest graduate record score in the dataset?
|
340.0
|
number
|
[]
|
[]
|
337.0
|
072_Admissions
|
What is the average English score of applicants who have at least some research experience?
|
109.70
|
number
|
[]
|
[]
|
109.25
|
072_Admissions
|
What is the total number of applicants with a university rating of 3?
|
162.0
|
number
|
[]
|
[]
|
12.0
|
072_Admissions
|
What is the maximum grade point average among applicants without research experience?
|
9.7
|
number
|
[]
|
[]
|
8.8
|
072_Admissions
|
What is the minimum score of letters presented among applicants who have over an eighty per cent chance of admission?
|
1.5
|
number
|
[]
|
[]
|
3.0
|
072_Admissions
|
What is the standard deviation of CGPA scores?
|
0.6048128003332054
|
number
|
[]
|
[]
|
0.4924867083432169
|
072_Admissions
|
What is the sum of English test scores for applicants with an stated purpose better than 4?
|
11854.0
|
number
|
[]
|
[]
|
233.0
|
072_Admissions
|
How many applicants have a graduate record score between 300 and 310 (including both)?
|
108.0
|
number
|
[]
|
[]
|
4.0
|
072_Admissions
|
List the 5 highest graduate record scores in the dataset.
|
[340, 340, 340, 340, 340]
|
list[number]
|
[]
|
[]
|
[337, 330, 328, 327, 325]
|
072_Admissions
|
How many people in the dataset got a perfect English score?
|
9
|
number
|
[]
|
[]
|
0
|
072_Admissions
|
How many applicants got a perfect score in their statement of purpose?
|
42
|
number
|
[]
|
[]
|
0
|
072_Admissions
|
List the top 5 English scores in the dataset.
|
[120, 120, 120, 120, 120]
|
list[number]
|
[]
|
[]
|
[118, 115, 112, 111, 110]
|
072_Admissions
|
List the 5 lowest grade point average scores in the dataset.
|
[6.8, 7.2, 7.21, 7.23, 7.25]
|
list[number]
|
[]
|
[]
|
[7.9, 8.0, 8.0, 8.0, 8.0]
|
072_Admissions
|
List the top 5 stated purpose scores in the dataset.
|
[5.0, 5.0, 5.0, 5.0, 5.0]
|
list[number]
|
[]
|
[]
|
[4.5, 4.5, 4.0, 4.0, 4.0]
|
072_Admissions
|
List the top 5 scores assigned to endorsement letters in the dataset.
|
[5.0, 5.0, 5.0, 5.0, 5.0]
|
list[number]
|
[]
|
[]
|
[4.5, 4.5, 4.5, 4.5, 4.0]
|
072_Admissions
|
List the top 5 English scores of applicants who have experience as researchers.
|
[120, 120, 120, 120, 120]
|
list[number]
|
[]
|
[]
|
[118, 115, 112, 111, 110]
|
072_Admissions
|
List the best 2 graduate record scores of applicants whose stated motivation to enter got a rating better than 4.
|
[340, 340]
|
list[number]
|
[]
|
[]
|
[337, 330]
|
072_Admissions
|
List the 2 worst grade point average scores of applicants who received the second worst possible rating from their university.
|
[7.21, 7.28]
|
list[number]
|
[]
|
[]
|
[7.9, 8.21]
|
072_Admissions
|
List the university ratings associated with the top 5 CGPA scores.
|
[4, 5, 5, 5, 5]
|
list[number]
|
[]
|
[]
|
[4, 5, 4, 4, 4]
|
072_Admissions
|
List the university ratings of the lowest 5 grade point average scores.
|
[1, 1, 2, 1, 1]
|
list[number]
|
[]
|
[]
|
[2, 3, 1, 3, 3]
|
072_Admissions
|
List the scores given to the stated motivations of the 4 applicants who have the best shot at getting into the university they applied to.
|
[4.0, 4.5, 4.5, 4.0]
|
list[number]
|
[]
|
[]
|
[4.5, 4.5, 4.0, 3.5]
|
072_Admissions
|
List the SOP ratings of applicants with the top 5 English scores.
|
[4.5, 5.0, 4.0, 4.5, 4.5]
|
list[number]
|
[]
|
[]
|
[4.5, 4.5, 4.0, 4.0, 3.5]
|
072_Admissions
|
List the LOR ratings of applicants with the lowest 5 gpa scores.
|
[2.0, 2.0, 3.0, 4.0, 2.0]
|
list[number]
|
[]
|
[]
|
[4.0, 3.5, 1.5, 3.0, 3.0]
|
072_Admissions
|
Is there any individual in the dataset with a body mass index greater than 50?
|
True
|
boolean
|
[]
|
[]
|
False
|
073_Med_Cost
|
Is it true that the number of regions represented are more than 3?
|
True
|
boolean
|
[]
|
[]
|
True
|
073_Med_Cost
|
Is it true that there are no centenarians in this dataset?
|
True
|
boolean
|
[]
|
[]
|
True
|
073_Med_Cost
|
Is the average BMI found in this dataset considered not to be obese?
|
False
|
boolean
|
[]
|
[]
|
False
|
073_Med_Cost
|
Are there any childless individuals?
|
True
|
boolean
|
[]
|
[]
|
True
|
073_Med_Cost
|
Does the dataset contain people who do not consume tobacco?
|
True
|
boolean
|
[]
|
[]
|
True
|
073_Med_Cost
|
Is there anyone that is a northeastern?
|
True
|
boolean
|
[]
|
[]
|
True
|
073_Med_Cost
|
Would an individual with the median BMI of the dataset considered to be underweight?
|
False
|
boolean
|
[]
|
[]
|
False
|
073_Med_Cost
|
Is the maximum medical charge in the dataset greater than $60,000?
|
True
|
boolean
|
[]
|
[]
|
False
|
073_Med_Cost
|
What is the location most represented in this dataset?
|
southeast
|
category
|
[]
|
[]
|
southeast
|
073_Med_Cost
|
Which gender has the highest number of individuals?
|
male
|
category
|
[]
|
[]
|
male
|
073_Med_Cost
|
What is the smoking status of the individual who paid the most money?
|
yes
|
category
|
[]
|
[]
|
yes
|
073_Med_Cost
|
What is the region the youngest teenager comes from?
|
southeast
|
category
|
[]
|
[]
|
southeast
|
073_Med_Cost
|
What is the gender of the person with the highest body mass index?
|
male
|
category
|
[]
|
[]
|
male
|
073_Med_Cost
|
Is being childless the most common state for people in the dataset? True
|
True
|
boolean
|
[]
|
[]
|
True
|
073_Med_Cost
|
What is the most frequent number of children?
|
0
|
number
|
[]
|
[]
|
0
|
073_Med_Cost
|
What region is represented least in the dataset?
|
northeast
|
category
|
[]
|
[]
|
northwest
|
073_Med_Cost
|
What is the smoking status of the individual with the lowest BMI?
|
no
|
category
|
[]
|
[]
|
no
|
073_Med_Cost
|
What is the maximum BMI in the dataset?
|
53.13
|
number
|
[]
|
[]
|
42.13
|
073_Med_Cost
|
What is the average number of children?
|
1.09
|
number
|
[]
|
[]
|
0.6
|
073_Med_Cost
|
How many unique regions are in the dataset?
|
4
|
number
|
[]
|
[]
|
4
|
073_Med_Cost
|
What is the sum of all medically related charges in the dataset?
|
17755824.99
|
number
|
[]
|
[]
|
249048.48
|
073_Med_Cost
|
How old is the youngest teenager in the dataset?
|
18
|
number
|
[]
|
[]
|
18
|
073_Med_Cost
|
How many people in the dataset have lived for more than six decades?
|
91
|
number
|
[]
|
[]
|
5
|
073_Med_Cost
|
How many people could be considered smokers?
|
274
|
number
|
[]
|
[]
|
4
|
073_Med_Cost
|
What is the median BMI in the dataset?
|
30.4
|
number
|
[]
|
[]
|
29.35
|
073_Med_Cost
|
List the 2 highest BMIs in the dataset for people who can be considered to suffer from Class III Obesity.
|
[53.13, 52.58]
|
list[number]
|
[]
|
[]
|
[42.13, 40.3]
|
073_Med_Cost
|
List the charges of individuals with the 3 highest BMIs.
|
[1163.46, 44501.39, 2438.05]
|
list[number]
|
[]
|
[]
|
[39611.75, 10602.38, 11090.71]
|
073_Med_Cost
|
List the ages of individuals with the 5 lowest charges.
|
[18, 18, 18, 18, 18]
|
list[number]
|
[]
|
[]
|
[18, 23, 19, 23, 25]
|
073_Med_Cost
|
List the ages of the 3 youngest teenagers.
|
[18, 18, 18]
|
list[number]
|
[]
|
[]
|
[18, 19, 19]
|
073_Med_Cost
|
List the unique different smoking statuses found among individuals over 60 years of age.
|
['yes', 'no']
|
list[category]
|
[]
|
[]
|
['yes']
|
073_Med_Cost
|
List the regions of individuals with the 3 highest BMIs.
|
['southeast', 'southeast', 'southeast']
|
list[category]
|
[]
|
[]
|
['southeast', 'southwest', 'southeast']
|
073_Med_Cost
|
Is there a lifter older than 50?
|
True
|
boolean
|
[]
|
[]
|
True
|
074_Lift
|
Does the dataset contain squatting lifts?
|
True
|
boolean
|
[]
|
[]
|
True
|
074_Lift
|
Is the biggest lift performed greater than 880 pounds?
|
False
|
boolean
|
[]
|
[]
|
False
|
074_Lift
|
Is the minimum lifted less than 330 pounds?
|
True
|
boolean
|
[]
|
[]
|
True
|
074_Lift
|
Are there more than 100 lifters in the weight class someone that weights 82kg would compete in?
|
False
|
boolean
|
[]
|
[]
|
False
|
074_Lift
|
Is the average age of all lifting records in the '105 kg' weight class above 40?
|
True
|
boolean
|
[]
|
[]
|
True
|
074_Lift
|
Is the average age of all lifting records in the weight class of someone who weights 103000 grams above 40?
|
True
|
boolean
|
[]
|
[]
|
True
|
074_Lift
|
Does 'Jessica Wilson' appear in the dataset?
|
True
|
boolean
|
[]
|
[]
|
True
|
074_Lift
|
Are there fewer than 5 unique types of exercise recorded?
|
True
|
boolean
|
[]
|
[]
|
True
|
074_Lift
|
Which weight class has the best average lifted weight?
|
83 kg
|
category
|
[]
|
[]
|
52 kg
|
074_Lift
|
What is the most common 'Weight Class'?
|
93 kg
|
category
|
[]
|
[]
|
74 kg
|
074_Lift
|
Which type of exercise has the best average lift?
|
Bench Press
|
category
|
[]
|
[]
|
Squat
|
074_Lift
|
What is the current record in kilograms for maximum weight ever lifted'?
|
399.0
|
number
|
[]
|
[]
|
398.0
|
074_Lift
|
How many different athletes are there in the dataset?
|
10
|
number
|
[]
|
[]
|
10
|
074_Lift
|
How many different men can we find in this dataset?
|
5
|
number
|
[]
|
[]
|
5
|
074_Lift
|
How many different women are there in the dataset?
|
5
|
number
|
[]
|
[]
|
5
|
074_Lift
|
What's the highest record set by men in the bench press category?
|
399
|
number
|
[]
|
[]
|
398
|
074_Lift
|
What's the best record set by women in the bench press category?
|
399
|
number
|
[]
|
[]
|
269
|
074_Lift
|
Who is the woman with the best lifting record?
|
Sarah Thomas
|
category
|
[]
|
[]
|
Laura Taylor
|
074_Lift
|
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