question
string | answer
string | type
string | columns_used
sequence | column_types
sequence | sample_answer
string | dataset
string |
---|---|---|---|---|---|---|
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. | [nan, '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 bottom 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 bottom 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 is 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? | [24.0, 22.0, 27.0] | list[number] | [
"Age",
"Survived"
] | [
"number[UInt8]",
"boolean"
] | [56.0, 47.0, 42.0] | 002_Titanic |
Which are the top 4 fares paid by survivors? | [13.0, 26.0, 7.75, 10.5] | 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? | [53.0, 55.0, 11.0] | list[number] | [
"Age",
"Survived"
] | [
"number[UInt8]",
"boolean"
] | [14.0, 24.0, 28.0] | 002_Titanic |
Which are the bottom 4 fares among those who didn't survive? | [90.0, 12.275, 9.35, 10.5167] | list[number] | [
"Fare",
"Survived"
] | [
"number[double]",
"boolean"
] | [13.0, 7.75, 11.5, 10.1708] | 002_Titanic |
Is the average age of the respondents above 30? | True | boolean | [
"[",
"'",
"W",
"h",
"a",
"t",
" ",
"i",
"s",
" ",
"y",
"o",
"u",
"r",
" ",
"a",
"g",
"e",
"?",
" ",
"πΆ",
"π»",
"π΅",
"π»",
"'",
"]"
] | [
"number[uint8]"
] | True | 003_Love |
Are there more single individuals than married ones in the dataset? | True | boolean | [
"[",
"'",
"W",
"h",
"a",
"t",
" ",
"i",
"s",
" ",
"y",
"o",
"u",
"r",
" ",
"c",
"i",
"v",
"i",
"l",
" ",
"s",
"t",
"a",
"t",
"u",
"s",
"?",
" ",
"π",
"'",
"]"
] | [
"category"
] | False | 003_Love |
Do the majority of respondents have a height greater than 170 cm? | True | boolean | [
"[",
"W",
"h",
"a",
"t",
"'",
"s",
" ",
"y",
"o",
"u",
"r",
" ",
"h",
"e",
"i",
"g",
"h",
"t",
"?",
" ",
"i",
"n",
" ",
"c",
"m",
" ",
"π",
"]"
] | [
"number[uint8]"
] | True | 003_Love |
Is the most frequent hair color black? | False | boolean | [
"[",
"'",
"W",
"h",
"a",
"t",
" ",
"i",
"s",
" ",
"y",
"o",
"u",
"r",
" ",
"h",
"a",
"i",
"r",
" ",
"c",
"o",
"l",
"o",
"r",
"?",
" ",
"π©",
"π¦°",
"π±",
"π½",
"'",
"]"
] | [
"category"
] | False | 003_Love |
How many unique nationalities are present in the dataset? | 13 | number | [
"[",
"W",
"h",
"a",
"t",
"'",
"s",
" ",
"y",
"o",
"u",
"r",
" ",
"n",
"a",
"t",
"i",
"o",
"n",
"a",
"l",
"i",
"t",
"y",
"?",
"\"",
"]",
"\""
] | [
"category"
] | 1 | 003_Love |
What is the average gross annual salary? | 56332.81720430108 | number | [
"[",
"'",
"G",
"r",
"o",
"s",
"s",
" ",
"a",
"n",
"n",
"u",
"a",
"l",
" ",
"s",
"a",
"l",
"a",
"r",
"y",
" ",
"(",
"i",
"n",
" ",
"e",
"u",
"r",
"o",
"s",
")",
" ",
"πΈ",
"'",
"]"
] | [
"number[UInt32]"
] | 62710.0 | 003_Love |
How many respondents wear glasses all the time? | 0 | number | [
"[",
"'",
"H",
"o",
"w",
" ",
"o",
"f",
"t",
"e",
"n",
" ",
"d",
"o",
" ",
"y",
"o",
"u",
" ",
"w",
"e",
"a",
"r",
" ",
"g",
"l",
"a",
"s",
"s",
"e",
"s",
"?",
" ",
"π",
"'",
"]"
] | [
"category"
] | 0 | 003_Love |
What's the median age of the respondents? | 33.0 | number | [
"[",
"'",
"W",
"h",
"a",
"t",
" ",
"i",
"s",
" ",
"y",
"o",
"u",
"r",
" ",
"a",
"g",
"e",
"?",
" ",
"πΆ",
"π»",
"π΅",
"π»",
"'",
"]"
] | [
"number[uint8]"
] | 32.5 | 003_Love |
What is the most common level of studies achieved? | Master | category | [
"[",
"'",
"W",
"h",
"a",
"t",
" ",
"i",
"s",
" ",
"t",
"h",
"e",
" ",
"m",
"a",
"x",
"i",
"m",
"u",
"m",
" ",
"l",
"e",
"v",
"e",
"l",
" ",
"o",
"f",
" ",
"s",
"t",
"u",
"d",
"i",
"e",
"s",
" ",
"y",
"o",
"u",
" ",
"h",
"a",
"v",
"e",
" ",
"a",
"c",
"h",
"i",
"e",
"v",
"e",
"d",
"?",
" ",
"π",
"'",
"]"
] | [
"category"
] | Master | 003_Love |
Which body complexity has the least number of respondents? | Very thin | category | [
"[",
"'",
"W",
"h",
"a",
"t",
" ",
"i",
"s",
" ",
"y",
"o",
"u",
"r",
" ",
"b",
"o",
"d",
"y",
" ",
"c",
"o",
"m",
"p",
"l",
"e",
"x",
"i",
"t",
"y",
"?",
" ",
"π",
"οΈ",
"'",
"]"
] | [
"category"
] | Obese | 003_Love |
What's the most frequent eye color? | Brown | category | [
"[",
"'",
"W",
"h",
"a",
"t",
" ",
"i",
"s",
" ",
"y",
"o",
"u",
"r",
" ",
"e",
"y",
"e",
" ",
"c",
"o",
"l",
"o",
"r",
"?",
" ",
"π",
"οΈ",
"'",
"]"
] | [
"category"
] | Brown | 003_Love |
Which sexual orientation has the highest representation? | Heterosexual | category | [
"[",
"W",
"h",
"a",
"t",
"'",
"s",
" ",
"y",
"o",
"u",
"r",
" ",
"s",
"e",
"x",
"u",
"a",
"l",
" ",
"o",
"r",
"i",
"e",
"n",
"t",
"a",
"t",
"i",
"o",
"n",
"?",
"\"",
"]",
"\""
] | [
"category"
] | Heterosexual | 003_Love |
List the top 3 most common areas of knowledge. | ['[Computer Science]', '[Business]', '[Enginering & Architecture]'] | list[category] | [
"[",
"'",
"W",
"h",
"a",
"t",
" ",
"a",
"r",
"e",
"a",
" ",
"o",
"f",
" ",
"k",
"n",
"o",
"w",
"l",
"e",
"d",
"g",
"e",
" ",
"i",
"s",
" ",
"c",
"l",
"o",
"s",
"e",
"r",
" ",
"t",
"o",
" ",
"y",
"o",
"u",
"?",
"'",
"]"
] | [
"list[category]"
] | ['[Computer Science]', '[Business]', '[Enginering & Architecture]'] | 003_Love |
List the bottom 3 hair lengths in terms of frequency. | ['Medium', 'Long', 'Bald'] | list[category] | [
"[",
"'",
"H",
"o",
"w",
" ",
"l",
"o",
"n",
"g",
" ",
"i",
"s",
" ",
"y",
"o",
"u",
"r",
" ",
"h",
"a",
"i",
"r",
"?",
" ",
"π",
"π»",
"β",
"οΈ",
"π",
"π½",
"β",
"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] | [
"[",
"'",
"W",
"h",
"a",
"t",
" ",
"i",
"s",
" ",
"y",
"o",
"u",
"r",
" ",
"c",
"i",
"v",
"i",
"l",
" ",
"s",
"t",
"a",
"t",
"u",
"s",
"?",
" ",
"π",
"'",
"]"
] | [
"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] | [
"[",
"'",
"W",
"h",
"a",
"t",
" ",
"i",
"s",
" ",
"y",
"o",
"u",
"r",
" ",
"h",
"a",
"i",
"r",
" ",
"c",
"o",
"l",
"o",
"r",
"?",
" ",
"π©",
"π¦°",
"π±",
"π½",
"'",
"]"
] | [
"category"
] | ['Brown', 'Black'] | 003_Love |
What are the top 4 maximum gross annual salaries? | [500000.0, 360000.0, 300000.0, 300000.0] | list[number] | [
"[",
"'",
"G",
"r",
"o",
"s",
"s",
" ",
"a",
"n",
"n",
"u",
"a",
"l",
" ",
"s",
"a",
"l",
"a",
"r",
"y",
" ",
"(",
"i",
"n",
" ",
"e",
"u",
"r",
"o",
"s",
")",
" ",
"πΈ",
"'",
"]"
] | [
"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] | [
"[",
"'",
"H",
"a",
"p",
"p",
"i",
"n",
"e",
"s",
"s",
" ",
"s",
"c",
"a",
"l",
"e",
"'",
"]"
] | [
"number[uint8]"
] | [7, 10, 6] | 003_Love |
What are the 5 highest ages present in the dataset? | [65, 62, 60, 60, 59] | list[number] | [
"[",
"'",
"W",
"h",
"a",
"t",
" ",
"i",
"s",
" ",
"y",
"o",
"u",
"r",
" ",
"a",
"g",
"e",
"?",
" ",
"πΆ",
"π»",
"π΅",
"π»",
"'",
"]"
] | [
"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] | [
"[",
"'",
"W",
"h",
"a",
"t",
" ",
"i",
"s",
" ",
"y",
"o",
"u",
"r",
" ",
"s",
"k",
"i",
"n",
" ",
"t",
"o",
"n",
"e",
"?",
"'",
"]"
] | [
"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]"
] | 85.0 | 004_Taxi |
How many unique pickup locations are in the dataset? | 96 | number | [
"PULocationID"
] | [
"number[uint16]"
] | 193 | 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]"
] | 194 | 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]"
] | 161 | 004_Taxi |
On which date did the first recorded trip occur? | 2023-01-31 | category | [
"tpep_pickup_datetime"
] | [
"date[ns",
"UTC]"
] | 2019-01-01 00:46:40 | 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, 79.55] | 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 3 least frequent descriptors for complaints. | ['Booting Company', 'Ready NY - Businesses', 'Animal'] | list[category] | [
"descriptor"
] | [
"category"
] | [Structure - Outdoors, Air: Odor/Fumes, Restaurant (AD2), 12 Dead Animals] | 005_NYC |