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cardiffnlp

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Cardiff NLP 52

What are the top 3 jobs of borrowers with the highest loan amount?

['Highly Skilled', 'Skilled', 'Highly Skilled']

list[category]

['Loan Amount', 'Job']

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

['Skilled', 'Skilled', 'Highly Skilled']

055_German

What are the top 4 jobs of borrowers with the longest loan duration?

['Skilled', 'Skilled', 'Skilled', 'Unskilled - Resident']

list[category]

['Loan Duration - Months', 'Job']

['number[uint8]', 'category']

['Skilled', 'Skilled', 'Skilled', 'Highly Skilled']

055_German

What are the 5 jobs of borrowers with the maximum number of existing loans?

['Skilled', 'Skilled', 'Unskilled - Resident', 'Highly Skilled', 'Skilled']

list[category]

['Number of Existing Loans', 'Job']

['number[uint8]', 'category']

['Highly Skilled', 'Skilled', 'Skilled', 'Skilled', 'Unemployed / Unskilled - Non-Resident']

055_German

What are the jobs of the oldest 2 borrowers?

['Highly Skilled', 'Highly Skilled']

list[category]

['Age', 'Job']

['number[uint8]', 'category']

['Unemployed / Unskilled - Non-Resident', 'Unskilled - Resident']

055_German

What are the top 3 loan amounts in the dataset?

[18424, 15945, 15857]

list[number]

['Loan Amount']

['number[uint16]']

[8613, 7297, 7253]

055_German

What are the top 4 loan durations in the dataset?

[72, 60, 60, 60]

list[number]

['Loan Duration - Months']

['number[uint8]']

[60, 60, 42, 33]

055_German

What are the 3 maximum numbers of existing loans among borrowers?

[4, 4, 4]

list[number]

['Number of Existing Loans']

['number[uint8]']

[1, 2, 3]

055_German

What are the ages of the top 2 oldest borrowers?

[75, 75]

list[number]

['Age']

['number[uint8]']

[65, 64]

055_German

Are there any foods with zero calories?

False

boolean

['Calories (kcal)']

['number[double]']

False

056_Emoji

Do all foods contain sugar?

False

boolean

['Total Sugar (g)']

['number[double]']

False

056_Emoji

Are there any foods that contain no fat at all?

True

boolean

['Total Fat (g)']

['number[double]']

False

056_Emoji

Are there foods that do not contain protein?

True

boolean

['Protein (g)']

['number[double]']

False

056_Emoji

How many foods have more than 500 kcal?

0

number

['Calories (kcal)']

['number[double]']

0

056_Emoji

What is the average amount of total fat (in grams) across all foods?

0.08465

number

['Total Fat (g)']

['number[double]']

0.06386499999999999

056_Emoji

How many foods have a sodium content of more than 1 gram?

18

number

['Sodium (g)']

['number[double]']

5

056_Emoji

What's the highest amount of protein (in grams) found in a food item?

0.2748

number

['Protein (g)']

['number[double]']

0.2403

056_Emoji

What food has the highest calorie content?

bacon

category

['Calories (kcal)', 'name']

['number[double]', 'category']

chocolate bar

056_Emoji

Which food contains the most sugar?

honey

category

['Total Sugar (g)', 'name']

['number[double]', 'category']

chocolate bar

056_Emoji

What is the food with the least amount of total fat?

honey

category

['Total Fat (g)', 'name']

['number[double]', 'category']

pineapple

056_Emoji

Which food has the highest amount of protein?

beef

category

['Protein (g)', 'name']

['number[double]', 'category']

chicken

056_Emoji

List the top 5 foods with the most calories.

['bacon', 'peanuts', 'chocolate bar', 'popcorn', 'cookie']

list[category]

['Calories (kcal)', 'name']

['number[double]', 'category']

[chocolate bar, cookie, french fries, bread, hotdog]

056_Emoji

Identify the top 3 foods with the least amount of sugar.

['chestnut', 'pancakes', 'cheese']

list[category]

['Total Sugar (g)', 'name']

['number[double]', 'category']

[milk, cookie, hotdog]

056_Emoji

Enumerate the 4 foods with the most total fat.

['bacon', 'peanuts', 'cheese', 'popcorn']

list[category]

['Total Fat (g)', 'name']

['number[double]', 'category']

[chocolate bar, cookie, hotdog, french fries]

056_Emoji

Name the 6 foods with the least amount of protein.

['candy', 'black tea', 'bacon', 'champagne', 'red wine', 'red apple']

list[category]

['Protein (g)', 'name']

['number[double]', 'category']

[green apple, pineapple, strawberry, grapes, tangerine, banana]

056_Emoji

List the 5 highest calorie counts found in the dataset.

[8.98, 5.67, 5.18, 5.0, 4.97]

list[number]

['Calories (kcal)']

['number[double]']

[5.18, 4.97, 3.12, 2.74, 2.47]

056_Emoji

What are the 3 lowest amounts of sugar found among the foods?

[0.0, 0.0, 0.0]

list[number]

['Total Sugar (g)']

['number[double]']

[0.0, 0.0, 0.0]

056_Emoji

Enumerate the 4 highest amounts of total fat found in the foods.

[0.995, 0.4924, 0.3099, 0.281]

list[number]

['Total Fat (g)']

['number[double]']

[0.2599, 0.252, 0.1484, 0.1473]

056_Emoji

What are the top 6 lowest amounts of protein found in the dataset?

[0.0, 0.0, 0.0007, 0.0007, 0.0007, 0.002]

list[number]

['Protein (g)']

['number[double]']

[0.0044, 0.0054, 0.0067, 0.0072, 0.0081, 0.0109]

056_Emoji

Are there any respondents who say they didn't complete primary education?

True

boolean

['edu']

['category']

False

057_Spain

Are all respondents interested in politics?

False

boolean

['polInterest']

['category']

False

057_Spain

Did any respondent indicate that they will not vote?

True

boolean

['Vote Intention']

['list[category]']

False

057_Spain

Did any respondent place themselves at the extreme right of the Left-Right economic values axis?

True

boolean

['User self-placement on Left-Right economic values axis']

['number[UInt8]']

False

057_Spain

How many respondents placed themselves at 10 on the Progressive-Conservative economic values axis?

372

number

['User self- placement on Progressive-Conservative economic values axis']

['number[UInt8]']

0

057_Spain

What is the average age of the respondents?

37.420120593188116

number

['Age']

['number[UInt8]']

38.72222222222222

057_Spain

How many respondents think it should be more difficult for companies to lay off workers?

10344

number

['It should be more difficult for companies to lay off workers']

['number[UInt8]']

0

057_Spain

What's the maximum age among the respondents who prefer not to disclose their gender?

105.0

number

['Age', 'gender']

['number[UInt8]', 'category']

057_Spain

Which is the most common vote intention among respondents?

[Ciudadanos]

category

['Vote Intention']

['list[category]']

[Ciudadanos]

057_Spain

What is the most common reason for voting given by respondents?

The party ideas are close to my own

category

['voteReason']

['category']

The party ideas are close to my own

057_Spain

Which is the most common party identification among respondents?

Ciudadanos

category

['partyId']

['category']

Ciudadanos

057_Spain

What is the most common first language among respondents?

Castellano

category

['lang']

['category']

Castellano

057_Spain

List the top 5 most common vote intentions among respondents.

['[Ciudadanos]', '[]', '[I am undeceided]', '[Podemos]', '[PP]']

list[category]

['Vote Intention']

['list[category]']

['[Ciudadanos]', '[I prefer not to say]', '[]', '[I am undeceided]', '[Podemos]']

057_Spain

Identify the top 3 most common reasons for voting among respondents.

['The party ideas are close to my own', 'The party is the most competent', 'I prefer not to say']

list[category]

['voteReason']

['category']

[The party ideas are close to my own, The party is the most competent, I prefer not to say]

057_Spain

Enumerate the top 3 most common party identifications among respondents.

['Ciudadanos', 'PP', 'I prefer not to say']

list[category]

['partyId']

['category']

[Ciudadanos, I prefer not to say, PSOE]

057_Spain

Name the top 2 most common education levels.

['University Degree', 'Postgraduate Degree', 'Technical/Vocational education']

list[category]

['edu']

['category']

['University Degree', 'I prefer not to say', 'Technical/Vocational education']

057_Spain

List the top 3 most common ages among respondents.

[38.0, 23.0, 39.0]

list[number]

['Age']

['number[UInt8]']

[33.0, 38.0, 22.0]

057_Spain

What are the top 3 most common positions on the Left-Right economic values axis?

[5.0, 3.0, 6.0]

list[number]

['User self-placement on Left-Right economic values axis']

['number[UInt8]']

[5.0, 6.0, 3.0]

057_Spain

Enumerate the top 4 most common positions on the Progressive-Conservative economic values axis.

[5.0, 3.0, 4.0, 0.0]

list[number]

['User self- placement on Progressive-Conservative economic values axis']

['number[UInt8]']

[5.0, 3.0, 0.0, 4.0]

057_Spain

What are the top 3 most common positions on the 'Constitutional organisation of the country (More Descentralization)' scale?

[2.0, 3.0]

list[number]

['Constitutional organisation of the country (More Descentralization)']

['number[UInt8]']

[2.0, 4.0]

057_Spain

Are there survey participants who are not registered to vote?

True

boolean

['Are you registered to vote?']

['category']

True

058_US

Are there any respondents who participated in the 2016 Presidential election (four years ago) but are not planning to do so in the upcoming election?

True

boolean

['Did you vote in the 2016 Presidential election? (Four years ago)', 'How likely are you to vote in the forthcoming US Presidential election? Early Voting Open']

['category', 'category']

True

058_US

Do we have any respondents in the dataset who didn't participate in the 2016 Presidential election (four years ago) but intend to do so in the upcoming election?

True

boolean

['Did you vote in the 2016 Presidential election? (Four years ago)', 'How likely are you to vote in the forthcoming US Presidential election? Early Voting Open']

['category', 'category']

True

058_US

Do we have respondents who have shifted their voting preference from the 2016 election (four years ago) to the upcoming one?

True

boolean

['Who did you vote for in the 2016 Presidential election? (Four years ago)', 'Who are you most likely to vote for on election day?']

['category', 'category']

True

058_US

How many respondents in the survey are eligible to vote?

1315

number

['Are you registered to vote?']

['category']

11

058_US

What is the count of respondents who are leaning towards voting for Joe Biden in the upcoming election?

799

number

['Who are you most likely to vote for on election day?']

['category']

0

058_US

How many respondents have a high school degree or less as their highest level of education?

0

number

['What is the highest degree or level of school you have *completed* ?']

['category']

0

058_US

How many respondents are from the region adjacent to the South Atlantic Ocean?

774

number

['Division']

['category']

0

058_US

What is the most frequent age group among the respondents?

65+

category

['How old are you?']

['category']

25-34

058_US

Who is the preferred choice among the respondents for the upcoming election?

Donald Trump (Republican)

category

['Who are you most likely to vote for on election day?']

['category']

Joe Biden (Democrat)

058_US

What is the most commonly achieved educational level among the respondents?

Some college, no degree

category

['What is the highest degree or level of school you have *completed* ?']

['category']

High school graduate (includes equivalency)

058_US

Which geographical division has the greatest representation among the respondents? If there is a tie solve it by reverse alphabetical order.

South Atlantic

category

['Division']

['category']

South Atlantic

058_US

Identify the top 6 states with the greatest number of respondents.

['CA', 'TX', 'NY', 'FL', 'GA', 'PA']

list[category]

['State']

['category']

['MI', 'GA', 'AL', 'CA', 'TX', 'NJ']

058_US

Enumerate the 2 most common professions among the respondents. If two or more have the same number sort them out by alphabetical order.

['Other', 'Healthcare']

list[category]

['Which of these best describes the kind of work you do?']

['category']

['Education and training', 'Healthcare']

058_US

Identify the top 2 ethnic groups with the most representation among the respondents.

['White (not Hispanic, Latino or Spanish origin)', 'Black or African American (not Hispanic, Latino or Spanish origin)']

list[category]

['Which of the following best describes your ethnic heritage?']

['category']

['White (not Hispanic, Latino or Spanish origin)', 'Black or African American (not Hispanic, Latino or Spanish origin)']

058_US

Enumerate the top 6 most represented age groups among the respondents.

['65+', '55-64', '45-54', '35-44', '18-24', '25-34']

list[category]

['How old are you?']

['category']

['25-34', '55-64', '65+', '35-44', '18-24', '45-54']

058_US

Identify the top 3 unique county codes present in the dataset.

[56031, 56025, 56021]

list[number]

['County FIPS']

['number[uint16]']

[53009, 51143, 48113]

058_US

Enumerate the highest 4 unique weight values in the dataset.

[0.8085780015111617, 0.7742084493732905, 0.3063435812288158, 0.629527660735561]

list[number]

['Weight']

['number[double]']

[4.871233760276248, 0.8475708375044543, 0.7854647440023211, 0.941364535331836]

058_US

List the top 4 urban/rural categories (using NCHS codes) with the greatest number of respondents.

[1, 2, 3, 4]

list[number]

['NCHS Urban/rural']

['number[uint8]']

[1, 2, 5, 3]

058_US

Enumerate the 2 most common likelihood values among the respondents.

[10.0, 11.0]

list[number]

['likelihood']

['number[UInt8]']

[10.0, 11.0]

058_US

Is there a car model named 'Golf' listed?

True

boolean

['model']

['category']

False

059_Second

Are there cars associated with the dealer 'Autos Raymara'?

True

boolean

['dealer']

['category']

False

059_Second

Is there a car version that mentions 'BMW'?

True

boolean

['version']

['text']

True

059_Second

Are there cars with a 'Manual' shift?

True

boolean

['shift']

['category']

True

059_Second

How many unique car models are listed?

940

number

['model']

['category']

19

059_Second

On average, how many photos are provided for the cars?

16.19912

number

['photos']

['number[uint8]']

19.1

059_Second

What's the highest price a car is listed for?

549900

number

['price']

['number[uint32]']

61990

059_Second

How many cars are from the year 2020?

4237

number

['year']

['number[UInt16]']

3

059_Second

Which dealer has the car with the highest price listed?

Supergarage

category

['dealer', 'price']

['category', 'number[uint32]']

automotorDURSAN.com A

059_Second

Which car maker is the most common? If there is a tie then use alphabetical order.

VOLKSWAGEN

category

['make']

['category']

BMW

059_Second

What type of fuel is the most common for the cars?

Diésel

category

['fuel']

['category']

Diésel

059_Second

In which province are the most cars located?

Madrid

category

['province']

['category']

Madrid

059_Second

Which are the 3 provinces with the most car listings? If there is a tie then use reverse alphabetical order.

['Madrid', 'Barcelona', 'Valencia']

list[category]

['province']

['category']

['Madrid', 'Palencia', 'Málaga']

059_Second

List the 3 most common car colors in the dataset.

['Blanco', 'Gris / Plata', 'Negro']

list[category]

['color']

['category']

['Gris / Plata', 'Negro', 'Azul']

059_Second

Which 5 car makes are the most prevalent?

['VOLKSWAGEN', 'BMW', 'MERCEDES-BENZ', 'AUDI', 'PEUGEOT']

list[category]

['make']

['category']

['MERCEDES-BENZ', 'BMW', 'SEAT', 'AUDI', 'HONDA']

059_Second

List the 2 least common fuels used in the cars.

['Gas natural (CNG)', 'Gas licuado (GLP)']

list[category]

['fuel']

['category']

['Híbrido', 'Eléctrico']

059_Second

What are the 4 most common years of the cars?

[2016.0, 2017.0, 2019.0, 2020.0]

list[number]

['year']

['number[UInt16]']

[2016.0, 2020.0, 2007.0, 2018.0]

059_Second

List the 3 highest mileages present.

[5000000, 4000006, 3500000]

list[number]

['kms']

['number[uint32]']

['370000', '300000', '254000']

059_Second

What are the 5 highest amount of pictures associated?

[54, 54, 54, 54, 54]

list[number]

['photos']

['number[uint8]']

[54, 44, 40, 32, 29]

059_Second

List the 6 highest power values.

[800.0, 800.0, 796.0, 772.0, 720.0, 720.0]

list[number]

['power']

['number[UInt16]']

[258.0, 258.0, 218.0, 182.0, 180.0]

059_Second

Are all transactions unique?

True

boolean

[Transaction]

['number[uint16]']

True

060_Bakery

Is there any transaction that took place during the night?

True

boolean

[period_day]

['category']

False

060_Bakery

Do all items have transactions recorded on weekdays?

True

boolean

[Item, weekday_weekend]

['category', 'category']

False

060_Bakery

Are there any transactions recorded in the evening on weekends?

True

boolean

[period_day, weekday_weekend]

['category', 'category']

True

060_Bakery

How many unique items are there in the dataset?

95

number

[Item]

['category']

12

060_Bakery

On how many different days were transactions recorded?

159

number

[date_time]

['category']

20

060_Bakery

What's the highest transaction number?

9684

number

[Transaction]

['number[uint16]']

9133

060_Bakery

How many transactions were made during the afternoon?

2478

number

[Transaction, period_day]

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

11

060_Bakery

Which day period has the highest number of transactions?

morning

category

[period_day, Transaction]

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

afternoon

060_Bakery

On weekdays, what's the most commonly bought item?

Coffee

category

[Item, weekday_weekend]

['category', 'category']

Coffee

060_Bakery

What's the least popular item bought during weekdays?

Adjustment

category

[Item, weekday_weekend]

['category', 'category']

Farm House

060_Bakery

During which period of the day is Brownie" most frequently bought?"

afternoon

category

[Item, period_day]

['category', 'category']

afternoon

060_Bakery