question
stringlengths
23
161
answer
stringlengths
1
255
βŒ€
type
stringclasses
6 values
columns_used
stringlengths
2
161
βŒ€
column_types
stringclasses
130 values
sample_answer
stringlengths
1
264
βŒ€
dataset
stringclasses
65 values
Is the person with the highest net worth self-made?
True
boolean
['finalWorth', 'selfMade']
['number[uint32]', 'boolean']
False
001_Forbes
Does the youngest billionaire identify as male?
True
boolean
['age', 'gender']
['number[UInt8]', 'category']
True
001_Forbes
Is the city with the most billionaires in the United States?
True
boolean
['city', 'country']
['category', 'category']
True
001_Forbes
Is there a non-self-made billionaire in the top 5 ranks?
True
boolean
['rank', 'selfMade']
['number[uint16]', 'boolean']
False
001_Forbes
Does the oldest billionaire have a philanthropy score of 5?
False
boolean
['age', 'philanthropyScore']
['number[UInt8]', 'number[UInt8]']
False
001_Forbes
What is the age of the youngest billionaire?
19.0
number
['age']
['number[UInt8]']
32.0
001_Forbes
How many billionaires are there from the 'Technology' category?
343
number
['category']
['category']
0
001_Forbes
What's the total worth of billionaires in the 'Automotive' category?
583600
number
['category', 'finalWorth']
['category', 'number[uint32]']
0
001_Forbes
How many billionaires have a philanthropy score above 3?
25
number
['philanthropyScore']
['number[UInt8]']
0
001_Forbes
What's the rank of the wealthiest non-self-made billionaire?
3
number
['selfMade', 'rank']
['boolean', 'number[uint16]']
288
001_Forbes
Which category does the richest billionaire belong to?
Automotive
category
['finalWorth', 'category']
['number[uint32]', 'category']
Food & Beverage
001_Forbes
What's the country of origin of the oldest billionaire?
United States
category
['age', 'country']
['number[UInt8]', 'category']
United Kingdom
001_Forbes
What's the gender of the billionaire with the highest philanthropy score?
M
category
['philanthropyScore', 'gender']
['number[UInt8]', 'category']
M
001_Forbes
What's the source of wealth for the youngest billionaire?
drugstores
category
['age', 'source']
['number[UInt8]', 'category']
fintech
001_Forbes
What is the title of the billionaire with the lowest rank?
null
category
['rank', 'title']
['number[uint16]', 'category']
null
001_Forbes
List the top 3 countries with the most billionaires.
['United States', 'China', 'India']
list[category]
['country']
['category']
['United States', 'China', 'Brazil']
001_Forbes
List the top 5 sources of wealth for billionaires.
['real estate', 'investments', 'pharmaceuticals', 'diversified', 'software']
list[category]
['source']
['category']
['diversified', 'media, automotive', 'Semiconductor materials', 'WeWork', 'beverages']
001_Forbes
List the top 4 cities where the youngest billionaires live.
['', 'Los Angeles', 'Jiaozuo', 'Oslo']
list[category]
['age', 'city']
['number[UInt8]', 'category']
['San Francisco', 'New York', 'Wuhan', 'Bangalore']
001_Forbes
List the bottom 3 categories with the fewest billionaires.
['Logistics', 'Sports', 'Gambling & Casinos']
list[category]
['category']
['category']
['Service', 'Fashion & Retail', 'Manufacturing']
001_Forbes
List the bottom 2 countries with the least number of billionaires.
['Colombia', 'Andorra']
list[category]
['country']
['category']
['Canada', 'Egypt']
001_Forbes
List the top 5 ranks of billionaires who are not self-made.
[3, 10, 14, 16, 18]
list[number]
['selfMade', 'rank']
['boolean', 'number[uint16]']
[288, 296, 509, 523, 601]
001_Forbes
List the bottom 3 ages of billionaires who have a philanthropy score of 5.
[48.0, 83.0, 83.0]
list[number]
['philanthropyScore', 'age']
['number[UInt8]', 'number[UInt8]']
[]
001_Forbes
List the top 6 final worth values of billionaires in the 'Technology' category.
[171000, 129000, 111000, 107000, 106000, 91400]
list[number]
['category', 'finalWorth']
['category', 'number[uint32]']
[]
001_Forbes
List the top 4 ranks of female billionaires.
[14, 18, 21, 30]
list[number]
['gender', 'rank']
['category', 'number[uint16]']
[]
001_Forbes
List the top 2 final worth values of billionaires in the 'Automotive' category.
[219000, 44800]
list[number]
['category', 'finalWorth']
['category', 'number[uint32]']
[]
001_Forbes
Did any children below the age of 18 survive?
True
boolean
[Age, Survived]
['number[UInt8]', 'boolean']
True
002_Titanic
Were there any passengers who paid a fare of more than $500?
True
boolean
[Fare]
['number[double]']
False
002_Titanic
Is every passenger's name unique?
True
boolean
[Name]
['text']
True
002_Titanic
Were there any female passengers in the 3rd class who survived?
True
boolean
[Sex, Pclass, Survived]
['category', 'number[uint8]', 'boolean']
True
002_Titanic
How many unique passenger classes are present in the dataset?
3
number
[Pclass]
['number[uint8]']
3
002_Titanic
What's the maximum age of the passengers?
80.0
number
[Age]
['number[UInt8]']
69.0
002_Titanic
How many passengers boarded without any siblings or spouses?
604
number
[Siblings_Spouses Aboard]
['number[uint8]']
12
002_Titanic
On average, how much fare did the passengers pay?
32.31
number
[Fare]
['number[double]']
23.096459999999997
002_Titanic
Which passenger class has the highest number of survivors?
1
category
[Pclass, Survived]
['number[uint8]', 'boolean']
3
002_Titanic
What's the most common gender among the survivors?
female
category
[Sex, Survived]
['category', 'boolean']
female
002_Titanic
Among those who survived, which fare range was the most common: (0-50, 50-100, 100-150, 150+)?
0-50
category
[Fare, Survived]
['number[double]', 'boolean']
0-50
002_Titanic
What's the most common age range among passengers: (0-18, 18-30, 30-50, 50+)?
18-30
category
[Age]
['number[UInt8]']
18-30
002_Titanic
Name the top 3 passenger classes by survival rate.
[1, 2, 3]
list[category]
[Pclass, Survived]
['number[uint8]', 'boolean']
[1, 3, 2]
002_Titanic
Could you list the lower 3 fare ranges by number of survivors: (0-50, 50-100, 100-150, 150+)?
['50-100', '150+', '100-150']
list[category]
[Fare, Survived]
['number[double]', 'boolean']
[50-100, 150+, 100-150]
002_Titanic
What are the top 4 age ranges('30-50', '18-30', '0-18', '50+') with the highest number of survivors?
['30-50', '18-30', '0-18', '50+']
list[category]
[Age, Survived]
['number[UInt8]', 'boolean']
[30-50, 18-30, 0-18, 50+]
002_Titanic
What are the top 2 genders by average fare paid?
['female', 'male']
list[category]
[Sex, Fare]
['category', 'number[double]']
[female, male]
002_Titanic
What are the oldest 3 ages among the survivors?
[80, 63, 63]
list[number]
[Age, Survived]
['number[UInt8]', 'boolean']
[56.0, 47.0, 42.0]
002_Titanic
Which are the top 4 fares paid by survivors?
[512.239, 512.239, 512.239, 263]
list[number]
[Fare, Survived]
['number[double]', 'boolean']
[133.65, 39.0, 35.5, 30.5]
002_Titanic
Could you list the youngest 3 ages among the survivors?
[1, 1, 1]
list[number]
[Age, Survived]
['number[UInt8]', 'boolean']
[14.0, 24.0, 28.0]
002_Titanic
Which are the lowest 4 fares among those who didn't survive?
[0, 0, 0, 0]
list[number]
[Fare, Survived]
['number[double]', 'boolean']
[0.0, 7.22, 7.75, 8.05]
002_Titanic
Is the average age of the respondents above 30?
True
boolean
['What is your age? πŸ‘ΆπŸ»πŸ‘΅πŸ»']
['number[uint8]']
True
003_Love
Are there more single individuals than married ones in the dataset?
True
boolean
['What is your civil status? πŸ’']
['category']
False
003_Love
Do the majority of respondents have a height greater than 170 cm?
True
boolean
[What's your height? in cm πŸ“]
['number[uint8]']
True
003_Love
Is the most frequent hair color black?
False
boolean
['What is your hair color? πŸ‘©πŸ¦°πŸ‘±πŸ½']
['category']
False
003_Love
How many unique nationalities are present in the dataset?
13
number
[What's your nationality?"]"
['category']
1
003_Love
What is the average gross annual salary?
56332.81720430108
number
['Gross annual salary (in euros) πŸ’Έ']
['number[UInt32]']
62710.0
003_Love
How many respondents wear glasses all the time?
98
number
['How often do you wear glasses? πŸ‘“']
['category']
5
003_Love
What's the median age of the respondents?
33.0
number
['What is your age? πŸ‘ΆπŸ»πŸ‘΅πŸ»']
['number[uint8]']
32.5
003_Love
What is the most common level of studies achieved?
Master
category
['What is the maximum level of studies you have achieved? πŸŽ“']
['category']
Master
003_Love
Which body complexity has the least number of respondents?
Very thin
category
['What is your body complexity? πŸ‹οΈ']
['category']
Obese
003_Love
What's the most frequent eye color?
Brown
category
['What is your eye color? πŸ‘οΈ']
['category']
Brown
003_Love
Which sexual orientation has the highest representation?
Heterosexual
category
['What's your sexual orientation?']
['category']
Heterosexual
003_Love
List the top 3 most common areas of knowledge.
['[Computer Science]', '[Business]', '[Enginering & Architecture]']
list[category]
['What area of knowledge is closer to you?']
['list[category]']
['[Computer Science]', '[Business]', '[Enginering & Architecture]']
003_Love
List the bottom 3 hair lengths in terms of frequency.
['Medium', 'Long', 'Bald']
list[category]
['How long is your hair? πŸ’‡πŸ»β™€οΈπŸ’‡πŸ½β™‚οΈ']
['category']
['Short', 'Medium', 'Long']
003_Love
Name the top 5 civil statuses represented in the dataset.
['Single', 'Married', 'In a Relationship', 'In a Relationship Cohabiting', 'Divorced']
list[category]
['What is your civil status? πŸ’']
['category']
['Married', 'In a Relationship', 'In a Relationship Cohabiting', 'Single', 'Divorced']
003_Love
What are the 4 least common hair colors?
['Red', 'Other', 'White', 'Blue']
list[category]
['What is your hair color? πŸ‘©πŸ¦°πŸ‘±πŸ½']
['category']
['Brown', 'Black']
003_Love
What are the top 4 maximum gross annual salaries?
[500000.0, 360000.0, 300000.0, 300000.0]
list[number]
['Gross annual salary (in euros) πŸ’Έ']
['number[UInt32]']
[150000.0, 130000.0, 125000.0, 120000.0]
003_Love
Name the bottom 3 values for the happiness scale.
[2, 2, 2]
list[number]
['Happiness scale']
['number[uint8]']
[7, 10, 6]
003_Love
What are the 5 highest ages present in the dataset?
[65, 62, 60, 60, 59]
list[number]
['What is your age? πŸ‘ΆπŸ»πŸ‘΅πŸ»']
['number[uint8]']
[65, 60, 51, 50, 50]
003_Love
List the bottom 6 skin tone values based on frequency.
[2, 1, 6, 0, 7, 8]
list[number]
['What is your skin tone?']
['number[uint8]']
[3, 1, 6, 2, 7, 0]
003_Love
Are there any trips with a total distance greater than 30 miles?
False
boolean
['trip_distance']
['number[double]']
False
004_Taxi
Were there any trips that cost more than $100 in total?
False
boolean
['total_amount']
['number[double]']
False
004_Taxi
Is there any trip with more than 6 passengers?
False
boolean
['passenger_count']
['number[uint8]']
False
004_Taxi
Did all the trips use a payment type of either 1 or 2?
False
boolean
['payment_type']
['number[uint8]']
True
004_Taxi
What is the maximum fare amount charged for a trip?
75.25
number
['fare_amount']
['number[double]']
40.8
004_Taxi
How many unique pickup locations are in the dataset?
96
number
['PULocationID']
['number[uint16]']
18
004_Taxi
What is the average tip amount given by passengers?
2.74
number
['tip_amount']
['number[double]']
1.5
004_Taxi
How many trips took place in the airport area?
99807
number
['Airport_fee']
['number[UInt8]']
0
004_Taxi
Which payment type is the most common in the dataset?
1
category
['payment_type']
['number[uint8]']
1
004_Taxi
Which vendor has the most trips recorded?
2
category
['VendorID']
['number[uint8]']
2
004_Taxi
What is the most common drop-off location?
236
category
['DOLocationID']
['number[uint16]']
90
004_Taxi
On which date did the first recorded trip occur?
2023-01-31
category
['tpep_pickup_datetime']
['date[ns, UTC]']
2023-02-01
004_Taxi
Which are the top 3 most frequent pickup locations?
[161, 237, 236]
list[category]
['PULocationID']
['number[uint16]']
[237, 236, 161]
004_Taxi
Name the 4 most common rate codes used.
[1, 2, 5, 4]
list[category]
['RatecodeID']
['number[uint8]']
[1, 2, 5, 3]
004_Taxi
list the 2 most frequent store and forward flags.
['N', 'Y']
list[category]
['store_and_fwd_flag']
['category']
['N', 'Y']
004_Taxi
Identify the top 4 payment types used by frequency
[1, 2, 4, 3]
list[category]
['payment_type']
['number[uint8]']
[1, 2, 3]
004_Taxi
Report the 4 highest toll amounts paid.
[0, 0, 0, 0]
list[number]
['tolls_amount']
['number[uint8]']
[0, 0, 0, 0]
004_Taxi
list the top 3 longest trip distances
[19.83, 19.74, 19.68]
list[number]
['trip_distance']
['number[double]']
[8.32, 5.93, 2.8]
004_Taxi
Identify the 5 largest total amounts paid for trips.
[80.0, 80.0, 80.0, 80.0, 80.0]
list[number]
['total_amount']
['number[double]']
[45.8, 39.9, 33.2, 25.2, 24.87]
004_Taxi
Report the 6 highest fare amounts charged.
[75.25, 74.4, 73.0, 73.0, 73.0, 73.0]
list[number]
['fare_amount']
['number[double]']
[40.8, 28.9, 21.2, 17.0, 14.9, 13.5]
004_Taxi
Are there any complaints made in Brooklyn?
True
boolean
['borough']
['category']
True
005_NYC
Do any complaints have 'Dog' as a descriptor?
True
boolean
['descriptor']
['category']
False
005_NYC
Were there any complaints raised in April?
True
boolean
['month_name']
['category']
True
005_NYC
Is the Mayor's office of special enforcement one of the agencies handling complaints?
True
boolean
['agency']
['category']
False
005_NYC
How many complaints have been made in Queens?
23110
number
['borough']
['category']
0
005_NYC
What's the total number of unique agencies handling complaints?
22
number
['agency']
['category']
7
005_NYC
How many complaints were raised at midnight?
14811
number
['hour']
['number[uint8]']
2
005_NYC
How many unique descriptors are present in the dataset?
1131
number
['descriptor']
['category']
16
005_NYC
Which borough has the most complaints?
BROOKLYN
category
['borough']
['category']
QUEENS
005_NYC
Which month sees the highest number of complaints?
July
category
['month_name']
['category']
January
005_NYC
Which weekday has the least complaints?
Sunday
category
['weekday_name']
['category']
Thursday
005_NYC
Which agency is least frequently handling complaints?
ACS
category
['agency']
['category']
DOHMH
005_NYC
List the top 5 most frequent complaint types.
['Noise - Residential', 'HEAT/HOT WATER', 'Illegal Parking', 'Blocked Driveway', 'Street Condition']
list[category]
['complaint_type']
['category']
[HEAT/HOT WATER, Building/Use, Noise - Residential, General Construction/Plumbing, Air Quality]
005_NYC
Which 4 agencies handle the most complaints?
['NYPD', 'HPD', 'DOT', 'DSNY']
list[category]
['agency']
['category']
[NYPD, HPD, DOB, DSNY]
005_NYC
Name the 2 least frequent descriptors for complaints by inverse alphabetical order.
['Booting Company', 'Ready NY - Businesses', 'Animal']
list[category]
['descriptor']
['category']
['Structure - Outdoors, Air: Odor/Fumes', 'Restaurant (AD2)', '12 Dead Animals']
005_NYC