Datasets:

cardiffnlp

/

databench

like 5

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Cardiff NLP 53

Mention the 2 most common weekdays for complaints.

['Tuesday', 'Monday']

list[category]

['weekday_name']

['category']

[Monday, Wednesday]

005_NYC

What are the top 4 hours with the most complaints?

[0, 12, 10, 11]

list[number]

['hour']

['number[uint8]']

[18, 21, 0, 16]

005_NYC

State the 3 lowest unique complaint keys.

[15628852, 15634748, 15634996]

list[number]

['unique_key']

['number[uint32]']

[18311800, 22322205, 25369019]

005_NYC

Which 2 hours see the least complaints?

[6, 2]

list[number]

['hour']

['number[uint8]']

[7, 8]

005_NYC

List the 6 highest complaint numbers from the dataset.

[54954250, 54954040, 54952675, 54950924, 54950765, 54950581]

list[number]

['unique_key']

['number[uint32]']

[54188773, 51990440, 50082845, 49874401, 45481177, 43655624]

005_NYC

Are all properties in the dataset located in the same neighbourhood?

False

boolean

['neighbourhood_cleansed']

['category']

False

006_London

Do all hosts verify their identity?

False

boolean

['host_identity_verified']

['category']

False

006_London

Are all reviews_per_month values greater than 5?

False

boolean

['reviews_per_month']

['number[double]']

False

006_London

Are there any listings without a specified room type?

False

boolean

['room_type']

['category']

False

006_London

How many unique neighbourhoods are there in the dataset?

563

number

['host_neighbourhood']

['category']

20

006_London

How many listings don't have a valid price?

0

number

['price']

['category']

0

006_London

How many properties have received the worst possible (0-5) review score for communication?

6

number

['review_scores_communication']

['number[double]']

0

006_London

What is the maximum number of bedrooms a property has in this dataset?

22.0

number

['bedrooms']

['number[UInt8]']

3.0

006_London

Which neighbourhood has the most listings?

Westminster

category

['neighbourhood_cleansed']

['category']

Hammersmith and Fulham

006_London

What is the most common room type in the listings?

Entire home/apt

category

['room_type']

['category']

Private room

006_London

What property type has the most listings?

Entire rental unit

category

['property_type']

['category']

Private room in rental unit

006_London

Which host verification method is the least used?

photographer

category

['host_verifications']

['list[category]']

[phone]

006_London

List the top 3 neighbourhoods with the most listings.

['Westminster', 'Tower Hamlets', 'Hackney']

list[category]

['neighbourhood_cleansed']

['category']

['Hammersmith and Fulham', 'Hackney', 'Westminster']

006_London

Which are the top 4 most common property types?

['Entire rental unit', 'Private room in rental unit', 'Private room in home', 'Entire condo']

list[category]

['property_type']

['category']

['Private room in rental unit', 'Entire rental unit', 'Entire home', 'Private room in home']

006_London

List the 2 most common host verification methods.

['phone', 'email']

list[category]

['host_verifications']

['list[category]']

['email', 'phone']

006_London

Which are the 2 most preferred room types?

['Entire home/apt', 'Private room']

list[category]

['room_type']

['category']

['Private room', 'Entire home/apt']

006_London

What are the top 3 highest review scores for location?

[5.0, 5.0, 5.0]

list[number]

['review_scores_location']

['number[double]']

[5.0, 4.0, 4.89]

006_London

What are the 4 most common number of bedrooms in properties?

[1.0, 2.0, 3.0, 4.0]

list[number]

['bedrooms']

['number[UInt8]']

[1.0, 2.0, 3.0]

006_London

What are the 5 highest counts of listings by a single host for entire homes?

[288, 288, 288, 288, 288]

list[number]

['calculated_host_listings_count_entire_homes']

['number[uint16]']

[1, 1, 1, 1, 1]

006_London

List the 6 lowest review scores for communication.

[0.0, 0.0, 0.0, 0.0, 0.0, 0.0]

list[number]

['review_scores_communication']

['number[double]']

[4.4, 4.89, 4.95, 4.5, 4.75, 4.94]

006_London

Are there players who have a greater overall score than their potential score?

False

boolean

['Overall<gx:number>', 'Potential<gx:number>']

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

False

007_Fifa

Are there any players who joined their current club before they were 18 years old?

True

boolean

['Joined<gx:date>', 'Age<gx:number>']

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

True

007_Fifa

Are there any players whose preferred foot is left and are from a nationality that starts with 'B'?

True

boolean

['Preferred Foot<gx:category>', 'Nationality<gx:category>']

['category', 'category']

False

007_Fifa

Are there any players who are taller than 6 feet and have an agility score above 90?

False

boolean

['Height_ft<gx:number>', 'Agility<gx:number>']

['number[double]', 'number[uint8]']

False

007_Fifa

What is the average overall score of players from France?

67.861432

number

['Nationality<gx:category>', 'Overall<gx:number>']

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

007_Fifa

How many unique clubs are there in the dataset?

683

number

['Club<gx:category>']

['category']

19

007_Fifa

What is the highest value (in €) of a player in the dataset?

105500000

number

['Value_€<gx:currency>']

['number[uint32]']

13500000

007_Fifa

How many players have the position 'ST'?

414

number

['Position<gx:category>']

['category']

1

007_Fifa

What is the most common nationality in the dataset?

England

category

['Nationality<gx:category>']

['category']

Ghana

007_Fifa

What is the most common preferred foot amongst players?

Right

category

['Preferred Foot<gx:category>']

['category']

Right

007_Fifa

Which club has the most players in the dataset?

Crystal Palace

category

['Club<gx:category>']

['category']

Lech Poznań

007_Fifa

What is the most common position of players in the dataset?

SUB

category

['Position<gx:category>']

['category']

SUB

007_Fifa

Which are the top 5 nationalities in terms of the average overall score of their players?

['Tanzania', 'Syria', 'Mozambique', 'Chad', 'Central African Rep.']

list[category]

['Nationality<gx:category>', 'Overall<gx:number>']

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

['Portugal', 'Ivory Coast', 'Brazil', 'United States', 'Ghana']

007_Fifa

Which are the top 3 clubs in terms of the total value (in €) of their players?

['Liverpool', 'Manchester City', 'Real Madrid']

list[category]

['Club<gx:category>', 'Value_€<gx:currency>']

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

['Sassuolo', 'Atalanta', 'DC United']

007_Fifa

Which are the bottom 4 nationalities in terms of the average agility of their players?

['Macau', 'Andorra', 'Moldova', 'Liechtenstein']

list[category]

['Nationality<gx:category>', 'Agility<gx:number>']

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

['United States', 'Guyana', 'Saudi Arabia', 'Poland']

007_Fifa

Which are the top 6 clubs in terms of the average potential score of their players?

['FC Bayern München', 'Real Madrid', 'FC Barcelona', 'Paris Saint-Germain', 'Juventus', 'Manchester City']

list[category]

['Club<gx:category>', 'Potential<gx:number>']

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

['Sassuolo', 'Inter', 'Sporting CP', '1. FSV Mainz 05', 'Atalanta', 'DC United']

007_Fifa

What are the top 3 overall scores in the dataset?

[93, 92, 91]

list[number]

['Overall<gx:number>']

['number[uint8]']

[79, 77, 77]

007_Fifa

What are the bottom 5 potential scores in the dataset?

[48, 48, 49, 50, 50]

list[number]

['Potential<gx:number>']

['number[uint8]']

[60, 65, 66, 67, 68]

007_Fifa

What are the top 4 values (in €) of players in the dataset?

[105500000, 90000000, 87000000, 80000000]

list[number]

['Value_€<gx:currency>']

['number[uint32]']

[13500000, 7500000, 5500000, 5500000]

007_Fifa

What are the top 2 wages (in €) of players in the dataset?

[560000, 370000]

list[number]

['Wage_€<gx:currency>']

['number[uint32]']

[47000, 29000]

007_Fifa

There are no tornadoes that resulted in more than 500 injuries.

True

boolean

[inj]

['number[uint16]']

True

008_Tornados

All tornadoes in the dataset occurred in the 21st century.

False

boolean

[yr]

['number[uint16]']

False

008_Tornados

No tornado has a length greater than 100 miles.

True

boolean

[len]

['number[double]']

True

008_Tornados

There are no tornadoes that resulted in more than 100 fatalities.

True

boolean

[fat]

['number[uint8]']

True

008_Tornados

How many unique states are represented in the dataset?

53

number

[st]

['category']

12

008_Tornados

What is the highest magnitude of tornado recorded in the dataset?

5

number

[mag]

['number[int8]']

2

008_Tornados

What is the longest length of a tornado path in the dataset?

234.7

number

[len]

['number[double]']

72.2

008_Tornados

What is the maximum number of injuries caused by a single tornado?

1740

number

[inj]

['number[uint16]']

3

008_Tornados

Which state has experienced the most tornadoes?

TX

category

[st]

['category']

IL

008_Tornados

In which month do most tornadoes occur?

5

category

[mo]

['number[uint8]']

6

008_Tornados

On what date did the most destructive tornado (by injuries) occur?

1979-04-10 00:00:00

category

[date, inj]

['date[ns, UTC]', 'number[uint16]']

1973-03-15

008_Tornados

On what date did the longest tornado (by path length) occur?

1953-03-22 00:00:00

category

[date, len]

['date[ns, UTC]', 'number[double]']

1955-06-04

008_Tornados

Which are the top 5 states with the highest average tornado magnitude?

[AR, KY, VT, TN, MS]

list[category]

[st, mag]

['category', 'number[int8]']

['TN', 'GA', 'IN', 'OK', 'TX']

008_Tornados

Which are the top 2 states with the most tornado-related injuries? If in a tie then select alphabetically.

[TX, AL]

list[category]

[st, inj]

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

['TN', 'IL']

008_Tornados

Which are the top 4 states with the most tornado-related fatalities? If you find a tie select alphabetically.

[AL, TX, MS, OK]

list[category]

[st, fat]

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

['TN', 'AR', 'FL', 'GA']

008_Tornados

Which are the bottom 2 states in terms of the average tornado path length?

[AK, VI]

list[category]

[st, len]

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

['TN', 'WY']

008_Tornados

What are the top 3 number of injuries caused by tornadoes in the dataset?

[1740, 1500, 1228]

list[number]

[inj]

['number[uint16]']

[3, 1, 0]

008_Tornados

What are the top 5 magnitudes of tornadoes in the dataset?

[5, 5, 5, 5, 5]

list[number]

[mag]

['number[int8]']

[2, 2, 1, 1, 1]

008_Tornados

What are the top 4 path lengths of tornadoes in the dataset?

[234.7, 217.8, 202.5, 202.1]

list[number]

[len]

['number[double]']

[72.2, 4.7, 4.3, 3.2]

008_Tornados

What are the top 6 number of fatalities caused by tornadoes in the dataset?

[158, 116, 114, 94, 80, 72]

list[number]

[fat]

['number[uint8]']

[1, 0, 0, 0, 0, 0]

008_Tornados

There were no days when the precipitation was greater than 5 inches.

True

boolean

[PRCP]

['number[double]']

True

009_Central

All recorded temperatures are above freezing point.

False

boolean

[TMIN, TMAX]

['number[Int8]', 'number[UInt8]']

False

009_Central

There were no days when the snow depth was more than 10 inches.

True

boolean

[SNWD]

['number[UInt8]']

True

009_Central

There were no days when the maximum temperature was below freezing point.

False

boolean

[TMAX]

['number[UInt8]']

False

009_Central

What is the highest recorded precipitation in inches?

8.28

number

[PRCP]

['number[double]']

0.66

009_Central

What is the lowest minimum temperature recorded?

-15.0

number

[TMIN]

['number[Int8]']

-13.0

009_Central

What is the highest maximum temperature recorded?

106.0

number

[TMAX]

['number[UInt8]']

81.0

009_Central

What is the deepest recorded snow depth in inches?

26.0

number

[SNWD]

['number[UInt8]']

4.0

009_Central

On which date was the highest precipitation recorded?

1882-09-23

category

[DATE, PRCP]

['date[ns, UTC]', 'number[double]']

1891-07-24

009_Central

On which date was the lowest minimum temperature recorded?

1934-02-09

category

[DATE, TMIN]

['date[ns, UTC]', 'number[Int8]']

1917-12-30

009_Central

On which date was the highest maximum temperature recorded?

1936-07-09

category

[DATE, TMAX]

['date[ns, UTC]', 'number[UInt8]']

1891-07-24

009_Central

On which date was the deepest snow depth recorded?

1947-12-27

category

[DATE, SNWD]

['date[ns, UTC]', 'number[UInt8]']

1945-02-03

009_Central

What are the dates of the top 5 highest recorded precipitation events?

[1882-09-23, 2007-04-15, 1977-11-08, 1903-10-09, 2021-09-01]

list[category]

[DATE, PRCP]

['date[ns, UTC]', 'number[double]']

['1891-07-24', '1966-10-16', '1945-09-27', '1999-05-18', '1898-09-15']

009_Central

What are the dates of the top 3 lowest minimum temperatures recorded?

[1934-02-09, 1917-12-30, 1943-02-15]

list[category]

[DATE, TMIN]

['date[ns, UTC]', 'number[Int8]']

['1917-12-30', '1945-02-03', '1892-03-21']

009_Central

What are the dates of the top 4 highest maximum temperatures recorded?

[1936-07-09, 1918-08-07, 1977-07-21, 2011-07-22]

list[category]

[DATE, TMAX]

['date[ns, UTC]', 'number[UInt8]']

['1891-07-24', '1903-06-03', '1982-07-02', '1960-08-26']

009_Central

What are the dates of the top 2 deepest snow depth recorded?

[1947-12-27, 1947-12-28]

list[category]

[DATE, SNWD]

['date[ns, UTC]', 'number[UInt8]']

['1945-02-03', '1917-12-30']

009_Central

What are the 3 highest recorded precipitation events in inches?

[8.28, 7.57, 7.4]

list[number]

[PRCP]

['number[double]']

[0.66, 0.26, 0.1]

009_Central

What are the 5 lowest minimum temperatures recorded?

[-15.0, -13.0, -8.0, -7.0, -7.0]

list[number]

[TMIN]

['number[Int8]']

[-13.0, 18.0, 19.0, 29.0, 32.0]

009_Central

What are the 4 highest maximum temperatures recorded?

[106.0, 104.0, 104.0, 104.0]

list[number]

[TMAX]

['number[UInt8]']

[81.0, 81.0, 80.0, 79.0]

009_Central

What are the 2 deepest snow depth recorded in inches?

[26.0, 25.0]

list[number]

[SNWD]

['number[UInt8]']

[4.0, 3.0]

009_Central

Are there more than 20 unique clothing items in the dataset?

True

boolean

[Clothing ID]

['number[uint16]']

False

010_ECommerce

Is the age of the reviewers above 50 years on average?

False

boolean

[Age]

['number[uint8]']

False

010_ECommerce

Do all reviews come from the same department?

False

boolean

[Department Name]

['category']

False

010_ECommerce

Are all products recommended?

False

boolean

[Recommended IND]

['number[uint8]']

False

010_ECommerce

What is the average age of the reviewers?

43.198543813335604

number

[Age]

['number[uint8]']

39.65

010_ECommerce

What's the highest number of positive feedback received for a review?

122

number

[Positive Feedback Count]

['number[uint8]']

19

010_ECommerce

What is the most common rating given by reviewers?

5

number

[Rating]

['number[uint8]']

5

010_ECommerce

How many unique clothing items are there in the dataset?

1206

number

[Clothing ID]

['number[uint16]']

20

010_ECommerce

Which department has the most reviews?

Tops

category

['Department Name']

['category']

Dresses

010_ECommerce

Which class of clothing is most commonly reviewed?

Dresses

category

['Class Name']

['category']

Dresses

010_ECommerce

Which division is most commonly mentioned in the reviews?

General

category

['Division Name']

['category']

General

010_ECommerce

What is the most frequently reviewed clothing item? If you find a tie answer with row order.

1078

category

['Clothing ID']

['number[uint16]']

1095

010_ECommerce

Which are the 4 most reviewed categories in Department Name?

['Tops', 'Dresses', 'Bottoms', 'Intimate']

list[category]

[Department Name]

['category']

[Dresses, Tops, Bottoms, Intimate]

010_ECommerce

Which are the top 2 most reviewed categories in Class Name?

['Dresses', 'Knits']

list[category]

[Class Name]

['category']

[Dresses, Blouses]

010_ECommerce

Which are the 2 most reviewed categories in Division Name?

['General', 'General Petite']

list[category]

[Division Name]

['category']

[General, General Petite]

010_ECommerce