Datasets:

cardiffnlp

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databench

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Cardiff NLP 55

What are the bottom 2 least common sub groups?

['Soy', 'Green vegetables']

list[category]

['SUB GROUP']

['category']

['Soy products', 'Venison']

015_Food

What are the top 3 most common food name lengths?

[9, 6, 7]

list[number]

['FOOD NAME']

['category']

[15, 13, 8]

015_Food

What are the bottom 4 least common food name lengths?

[39, 30, 45, 33]

list[number]

['FOOD NAME']

['category']

[7, 31, 6, 12]

015_Food

What are the top 2 most common scientific name lengths?

[17.0, 19.0]

list[number]

['SCIENTIFIC NAME']

['category']

[12.0, 14.0]

015_Food

What are the top 5 most common group name lengths?

[6.0, 13.0, 10.0, 16.0, 12.0]

list[number]

['GROUP']

['category']

[13.0, 16.0, 10.0, 9.0, 4.0]

015_Food

Is there a customer with 'Large Business' as their occupation?

True

boolean

['Occupation']

['category']

True

016_Holiday

Are there customers with 'King' as their pitched product?

True

boolean

['ProductPitched']

['category']

True

016_Holiday

Is there a customer with designation 'VP'?

True

boolean

['Designation']

['category']

True

016_Holiday

Is 'Unmarried' listed as a marital status in the dataset?

True

boolean

['MaritalStatus']

['category']

True

016_Holiday

How many customers are there in the dataset?

4888

number

[]

20

016_Holiday

How many unique occupations are there in the dataset?

4

number

['Occupation']

['category']

3

016_Holiday

How many unique designations are there in the dataset?

5

number

['Designation']

['category']

4

016_Holiday

How many unique marital statuses are there in the dataset?

4

number

['MaritalStatus']

['category']

4

016_Holiday

What is the occupation of the customer with ID 200000?

Salaried

category

['CustomerID', 'Occupation']

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

016_Holiday

What is the product pitched to the customer with ID 200001?

Deluxe

category

['CustomerID', 'ProductPitched']

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

016_Holiday

What is the designation of the customer with ID 200002?

Executive

category

['CustomerID', 'Designation']

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

016_Holiday

What is the marital status of the customer with ID 200003?

Divorced

category

['CustomerID', 'MaritalStatus']

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

016_Holiday

What are the 3 most common occupations?

['Salaried', 'Small Business', 'Large Business']

list[category]

['Occupation']

['category']

['Small Business', 'Salaried', 'Large Business']

016_Holiday

What are the top 2 most common pitched products?

['Basic', 'Deluxe']

list[category]

['ProductPitched']

['category']

['Basic', 'Deluxe']

016_Holiday

What are the 4 least common occupations?

['Salaried', 'Small Business', 'Large Business', 'Free Lancer']

list[category]

['Occupation']

['category']

['Small Business', 'Salaried', 'Large Business']

016_Holiday

What are the 2 least common pitched products?

['Super Deluxe', 'King']

list[category]

['ProductPitched']

['category']

['Standard', 'King']

016_Holiday

What are the ages of the 3 oldest customers?

[61, 61, 61]

list[number]

['Age']

['number[UInt8]']

[55, 55, 52]

016_Holiday

What are the ages of the 4 youngest customers?

[18.0, 18.0, 18.0, 18.0]

list[number]

['Age']

['number[UInt8]']

[20, 24, 25, 30]

016_Holiday

What are the top 2 highest monthly incomes of the customers?

[98678, 95000]

list[number]

['MonthlyIncome']

['number[UInt32]']

[38305, 38084]

016_Holiday

What are the 4 most common duration of pitch?

[9.0, 7.0, 8.0, 6.0]

list[number]

['DurationOfPitch']

['number[UInt8]']

[7.0, 9.0, 22.0, 17.0]

016_Holiday

Is there any entry posted on a weekend?

True

boolean

['weekday_name']

['category']

True

017_Hacker

Are there titles with more than 100 characters?

False

boolean

['title']

['text']

False

017_Hacker

Do any entries have a negative sentiment according to the Cardiff NLP model?

False

boolean

['title_gx_cardiff_nlp_sentiment']

['category']

False

017_Hacker

Is the term 'linux' mentioned in the "Clusters II" column?

True

boolean

['Clusters II']

['category']

True

017_Hacker

How many entries were posted in the morning?

1516

number

['partofday']

['category']

1

017_Hacker

What's the highest score received by an entry?

6015

number

['score']

['number[uint16]']

2517

017_Hacker

On average, how many descendants does an entry have?

339.2486205432937

number

['descendants']

['number[UInt16]']

558.0

017_Hacker

How many entries are in the Autumn season?

2301

number

['season']

['category']

8

017_Hacker

Which day of the week has the most entries?

Tuesday

category

['weekday_name']

['category']

Wednesday

017_Hacker

What is the predominant language used in titles?

en

category

['title_gx_lang']

['category']

en

017_Hacker

In which season was the entry with the highest score posted?

Spring

category

['score', 'season']

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

Summer

017_Hacker

On which part of the day are most entries posted?

afternoon

category

['partofday']

['category']

afternoon

017_Hacker

List the top 4 most frequent terms in the "Clusters II" column.

['year, work, new', 'google, web, firefox, open', 'apple, linux, rust, iphone', 'facebook, twitter, die, account']

list[category]

['Clusters II']

['category']

['year, work, new', 'google, web, firefox, open', 'apple, linux, rust, iphone', 'amazon, database, sqlite, sql']

017_Hacker

Name the 2 month names which appear less in the dataset.

['December', 'July']

list[category]

['month_name']

['category']

['June', 'January']

017_Hacker

Identify the top 3 weekdays based on entry frequency.

['Tuesday', 'Wednesday', 'Thursday']

list[category]

['weekday_name']

['category']

['Wednesday', 'Friday', 'Tuesday']

017_Hacker

Provide the bottom 4 seasons in terms of entry count.

['Spring', 'Winter', 'Autumn', 'Summer']

list[category]

['season']

['category']

['Autumn', 'Summer', 'Winter', 'Spring']

017_Hacker

List the top 3 scores in the dataset.

[6015, 5771, 4338]

list[number]

['score']

['number[uint16]']

[2517, 1181, 1070]

017_Hacker

Name the bottom 5 title text lengths.

[1.0, 2.0, 2.0, 2.0, 2.0]

list[number]

['title_gx_text_length']

['number[UInt8]']

[16.0, 20.0, 22.0, 30.0, 31.0]

017_Hacker

Identify the top 4 numbers of descendants.

[4576.0, 3678.0, 3676.0, 3463.0]

list[number]

['descendants']

['number[UInt16]']

[3676.0, 1609.0, 524.0, 512.0]

017_Hacker

Provide the bottom 6 scores in the dataset.

[501, 501, 501, 501, 501, 501]

list[number]

['score']

['number[uint16]']

[501, 516, 526, 534, 544, 583]

017_Hacker

Are there any employees with more than 7 projects?

False

boolean

[Number of Projects]

['number[uint8]']

False

018_Staff

Has any employee worked for more than 300 hours on average per month?

True

boolean

[Average Monthly Hours]

['number[uint16]']

False

018_Staff

Are all satisfaction levels above 0.5?

False

boolean

[Satisfaction Level]

['number[double]']

False

018_Staff

Were there any employees hired in 2019?

True

boolean

[Date Hired]

['date[ns, UTC]']

False

018_Staff

How many unique departments are there?

10

number

[Department]

['category']

9

018_Staff

What's the maximum number of years an employee has been in the company?

10

number

[Years in the Company]

['number[uint8]']

6

018_Staff

How many employees have been promoted in the last 5 years?

319

number

[Promoted in the last 5 years?]

['category']

0

018_Staff

On average, how many hours do employees work monthly?

201.05

number

[Average Monthly Hours]

['number[uint16]']

188.15

018_Staff

Which department has the highest number of employees?

sales

category

[Department]

['category']

support

018_Staff

What's the most common salary level among employees?

low

category

[salary]

['category']

low

018_Staff

Which year had the highest number of employees hired?

2017

category

[Date Hired]

['date[ns, UTC]']

2017

018_Staff

Which salary level has the least number of employees who had an accident at work?

high

category

[salary, Work Accident]

['category', 'category']

018_Staff

Name the top 4 departments with the most employees.

['sales', 'technical', 'support', 'IT']

list[category]

[Department]

['category']

['support', 'technical', 'marketing', 'accounting']

018_Staff

List the 3 departments with the most number of promotions in the last 5 years that have at least one promotion.

['hr', 'accounting', 'IT']

list[category]

[Department, Promoted in the last 5 years?]

['category', 'category']

[]

018_Staff

Identify the 3 departments with the lowest average satisfaction levels.

['accounting', 'hr', 'technical']

list[category]

[Department, Satisfaction Level]

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

['sales', 'support', 'management']

018_Staff

What are the 2 departments with the lowest average monthly hours worked?

['hr', 'marketing']

list[category]

[Department, Average Monthly Hours]

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

['sales', 'RandD']

018_Staff

Identify the top 3 years with the highest employee hiring.

['2017', '2018', '2016']

list[number]

[Date Hired]

['date[ns, UTC]']

[2017, 2016, 2018]

018_Staff

Which are the highest 3 satisfaction levels among employees who left?

[0.92, 0.92, 0.92]

list[number]

[Satisfaction Level, Left]

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

[0.87, 0.85, 0.51]

018_Staff

List the bottom 5 average monthly hours among employees who were promoted in the last 5 years.

[215, 133, 159, 241, 247]

list[number]

[Average Monthly Hours, Promoted in the last 5 years?]

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

[]

018_Staff

Whhat are the top 6 last evaluation scores?

[1, 1, 1, 1, 1, 1]

list[number]

[Last Evaluation]

['number[double]']

[0.97, 0.97, 0.93, 0.89, 0.88, 0.87]

018_Staff

Did any incident result in the total destruction of the aircraft?

True

boolean

['Aircaft_Damage_Type']

['category']

False

019_Aircraft

Have there been any incidents where the cause was related to the undercarriage of the aircraft?

True

boolean

['Incident_Cause(es)']

['category']

False

019_Aircraft

Has there been any instance where the ground casualties were non-zero?

True

boolean

['Ground_Casualties']

['category']

True

019_Aircraft

Are there incidents where the aircraft was involved in a collision?

True

boolean

['Incident_Category', 'Incident_Cause(es)']

['category', 'category']

True

019_Aircraft

How many unique aircraft models are in the dataset?

3523

number

['Aircaft_Model']

['category']

20

019_Aircraft

What's the highest number of occupants recorded in an incident?

524.0

number

['Onboard_Total']

['category']

86

019_Aircraft

How many incidents occurred in January 2022?

7

number

['Date']

['date[ns, UTC]']

0

019_Aircraft

How many incidents resulted in non-zero fatalities?

0

number

['Fatalities']

['number[uint16]']

10

019_Aircraft

Which aircraft model was involved in the most incidents?

Junkers Ju-52/3m

category

['Aircaft_Model']

['category']

Antonov An-2V

019_Aircraft

What was the cause of the incident that resulted in the most fatalities?

Airplane - Pressurization, Airplane - Pressurization - Bulkhead failure, Airplane - Pressurization - Explosive decompression, Maintenance - (repair of) previous damage, Result - Loss of control

category

['Incident_Cause(es)', 'Fatalities']

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

Result - Loss of control, Security - Sabotage (bomb)

019_Aircraft

What is the most common phase of aircraft during incidents?

En route (ENR)

category

['Aircraft_Phase']

['category']

Landing (LDG)

019_Aircraft

What is the location of the incident with the highest number of onboard occupants?

near Ueno Village...

category

['Incident_Location', 'Onboard_Total']

['category', 'category']

019_Aircraft

What are the top 3 most common causes of incidents?

['Info-Unavailable', 'Result - Runway excursion', 'Result - Damaged on the ground']

list[category]

['Incident_Cause(es)']

['category']

['Info-Unavailable', 'Result - Damaged on the ground', 'Result - Loss of control']

019_Aircraft

List the top 5 locations where the most incidents have occurred. If there are two or more with the same number order them alphabetically

['Arnhem', 'Beirut International Airport (BEY)', 'Glasgow-Preswick Airport', 'Havana-José Martí International Airport (HAV)', 'Miami International Airport, FL (MIA)', 'near Loukhi', 'near Olpoi', 'Rio de Janeiro-Galeão International Airport, RJ (GIG)', 'Sioux Falls-Joe Foss Field Airport', 'unknown']

019_Aircraft

Name the 2 most frequently occurring aircraft operators in the dataset.

['USAAF', 'USAF']

list[category]

['Aircaft_Operator']

['category']

['USAAF', 'Aeroflot, Northern']

019_Aircraft

What are the top 2 most common types of aircraft damage?

['Damaged beyond repair', 'Substantial']

list[category]

['Aircaft_Damage_Type']

['category']

['Damaged beyond repair', 'Substantial']

019_Aircraft

What are the 5 highest numbers of onboard passengers in incidents?

[509.0, 503.0, 497.0, 451.0, 440.0]

list[number]

['Onboard_Passengers']

['category']

[81, 39, 14, 11, 8]

019_Aircraft

List the 3 highest numbers of onboard crew in incidents.

[32.0, 31.0, 29.0]

list[number]

['Onboard_Crew']

['category']

[5, 4, 3]

019_Aircraft

Identify the 4 highest numbers of total onboard occupants in incidents.

[524.0, 521.0, 517.0, 469.0]

list[number]

['Onboard_Total']

['category']

[86, 44, 19, 15]

019_Aircraft

What are the 6 highest numbers of ground casualties in incidents?

[1600, 900, 237, 107, 88, 87]

list[number]

['Ground_Casualties']

['category']

[9, 1]

019_Aircraft

Are there any properties with a price over 1,000,000?

True

boolean

['Precio']

['number[uint32]']

True

020_Real

Any property with more than 10 bedrooms?

True

boolean

['Habitaciones']

['number[uint8]']

False

020_Real

Are there properties with zero bathrooms?

False

boolean

['Baños']

['number[uint8]']

False

020_Real

Has any property been listed for more than 100 days?

True

boolean

['Duración']

['number[uint16]']

True

020_Real

What's the highest price in the dataset?

17000000.0

number

['Precio']

['number[uint32]']

1245000.0

020_Real

What's the total number of properties listed?

26026

number

[]

[]

20

020_Real

What's the longest duration a property has been listed?

2535.0

number

['Duración']

['number[uint16]']

300.0

020_Real

What's the largest property (by surface area) listed?

5504.0

number

['Superficie']

['number[uint16]']

350.0

020_Real

What's the most common type of property listed?

Piso

category

['Tipo']

['category']

Piso

020_Real

Which advertiser has listed the most properties?

housell

category

['Anunciante']

['category']

gilmar_villalba

020_Real

Which property has the highest price?

GM31-121816

category

['Referencia', 'Precio']

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

14075097

020_Real

Which property has the largest surface area?

IF5563-FINCA VALLE LOZOYA

category

['Referencia', 'Superficie']

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

2126-002573

020_Real

What are the top 5 types of properties listed?

['Piso', 'Chalet', 'Apartamento', 'Chalet adosado', 'Chalet unifamiliar']

list[category]

['Tipo']

['category']

['Piso', 'Chalet', 'Apartamento', 'Chalet adosado', 'Chalet pareado']

020_Real

Name the 3 advertisers who have listed the most properties.

['housell', 'servihabitat_central', 'pradesa_proyectos_inmobiliarios']

list[category]

['Anunciante']

['category']

['gilmar_villalba', 'consulting_parque_de_los_estados', 'vivantial_okuant']

020_Real

What are the 4 most common localities for properties listed?

['Madrid Capital', 'Torrejón de Ardoz', 'Alcalá de Henares', 'Móstoles']

list[category]

['Localidad']

['category']

['Madrid Capital', 'Alpedrete', 'Fuenlabrada', 'Valdemorillo']

020_Real