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cardiffnlp

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Cardiff NLP 56

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?

category

['rank', 'title']

['number[uint16]', 'category']

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? 👶🏻👵🏻']

['number[uint8]']

True

003_Love

Are there more single individuals than married ones in the dataset?

True

boolean

['What is your civil status? 💍']

['category']

False

003_Love

Do the majority of respondents have a height greater than 170 cm?

True

boolean

[What's your height? in cm 📏]

['number[uint8]']

True

003_Love

Is the most frequent hair color black?

False

boolean

['What is your hair color? 👩🦰👱🏽']

['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) 💸']

['number[UInt32]']

62710.0

003_Love

How many respondents wear glasses all the time?

98

number

['How often do you wear glasses? 👓']

['category']

5

003_Love

What's the median age of the respondents?

33.0

number

['What is your age? 👶🏻👵🏻']

['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? 🎓']

['category']

Master

003_Love

Which body complexity has the least number of respondents?

Very thin

category

['What is your body complexity? 🏋️']

['category']

Obese

003_Love

What's the most frequent eye color?

Brown

category

['What is your eye color? 👁️']

['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? 💇🏻♀️💇🏽♂️']

['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? 💍']

['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? 👩🦰👱🏽']

['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) 💸']

['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? 👶🏻👵🏻']

['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