Datasets:

cardiffnlp

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databench

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Cardiff NLP 57

What is the wave of the participant with the youngest age?

5

category

['age', 'wave']

['number[UInt8]', 'number[uint8]']

13

040_Speed

What are the top 3 waves among people who got a match?

[21, 4, 11]

list[category]

['match', 'wave']

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

[21, 7, 7]

040_Speed

What are the 5 most common races among people who expected more than 5 matches?

['european/caucasian-american', 'asian/pacific islander/asian-american', 'black/african american', 'latino/hispanic american', 'other']

list[category]

['expected_num_matches', 'race']

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

['european/caucasian-american', 'asian/pacific islander/asian-american']

040_Speed

What are the top 4 waves of people who have the same race as their partner?

[15, 9, 21, 11]

list[category]

['samerace', 'wave']

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

[7, 4, 15, 11]

040_Speed

What are the top 2 genders among people who expected no match?

['female', 'male']

list[category]

['expected_num_matches', 'gender']

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

['female']

040_Speed

What are the top 5 ages of participants who got a match?

[42.0, 42.0, 42.0, 42.0, 39.0]

list[number]

['match', 'age']

['number[uint8]', 'number[UInt8]']

[31.0, 28.0, 27.0, 23.0]

040_Speed

What are the 3 lowest numbers of matches expected by people who got a match?

[0.0, 0.0, 0.0]

list[number]

['match', 'expected_num_matches']

['number[uint8]', 'number[UInt8]']

[1.0, 1.0, 1.0]

040_Speed

What are the top 4 ages of people who have the same race as their partner?

[55.0, 55.0, 55.0, 42.0]

list[number]

['samerace', 'age']

['number[uint8]', 'number[UInt8]']

[34.0, 31.0, 28.0, 24.0]

040_Speed

What are the 6 youngest ages of participants who expected no match?

[18.0, 18.0, 18.0, 18.0, 18.0, 18.0]

list[number]

['expected_num_matches', 'age']

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

[23.0]

040_Speed

Are there any tweets with more than 10 retweets?

True

boolean

['retweet_count']

['number[uint8]']

False

041_Airline

Is there a negative sentiment tweet from 'United' airline?

True

boolean

['airline', 'airline_sentiment']

['category', 'category']

True

041_Airline

Are there any tweets categorized with 'Late Flight' as the negative reason?

True

boolean

['negativereason']

['category']

True

041_Airline

Are there any tweets from 'Eastern Time (US & Canada)' timezone with positive sentiment?

True

boolean

['user_timezone', 'airline_sentiment']

['category', 'category']

True

041_Airline

How many unique user timezones are there in the dataset?

85

number

['user_timezone']

['category']

6

041_Airline

On average, what is the sentiment confidence of the tweets?

0.9001688524590163

number

['airline_sentiment_confidence']

['number[double]']

0.887105

041_Airline

What's the maximum number of retweets a tweet has received?

44

number

['retweet_count']

['number[uint8]']

1

041_Airline

How many tweets are from 'Virgin America' airline?

504

number

['airline']

['category']

0

041_Airline

Which airline has the highest average sentiment confidence?

US Airways

category

['airline', 'airline_sentiment_confidence']

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

American

041_Airline

Which negative reason is most commonly associated with 'American' airline?

Customer Service Issue

category

['airline', 'negativereason']

['category', 'category']

Lost Luggage

041_Airline

From which timezone is the tweet with the highest sentiment confidence?

Eastern Time (US & Canada)

category

['user_timezone', 'airline_sentiment_confidence']

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

Eastern Time (US & Canada)

041_Airline

Which airline has the most tweets with negative sentiment?

United

category

['airline', 'airline_sentiment']

['category', 'category']

Delta

041_Airline

Which are the top 3 airlines with the highest average sentiment confidence?

['US Airways', 'American', 'United']

list[category]

['airline', 'airline_sentiment_confidence']

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

['American', 'Delta', 'United']

041_Airline

List the 3 most common negative reasons in the dataset.

['Customer Service Issue', 'Late Flight', 'Can't Tell']

list[category]

'negativereason'

['category']

["Can't Tell", 'Cancelled Flight', 'Customer Service Issue']

041_Airline

Which 3 user timezones have the most number of tweets?

['Eastern Time (US & Canada)', 'Central Time (US & Canada)', 'Pacific Time (US & Canada)']

list[category]

['user_timezone']

['category']

['Eastern Time (US & Canada)', 'Pacific Time (US & Canada)', 'Alaska']

041_Airline

List the 2 airlines with the least number of tweets in the dataset.

['Virgin America', 'Delta']

list[category]

['airline']

['category']

['American', 'United']

041_Airline

What are the top 4 tweet IDs with the lowest sentiment confidence?

[570306133677760513, 570301031407624196, 570300817074462722, 570300767074181121]

list[number]

['tweet_id', 'airline_sentiment_confidence']

['number[int64]', 'number[double]']

[569731104070115329, 569263373092823040, 568818669024907264, 567775864679456768]

041_Airline

List the 3 highest retweet counts in the dataset.

[44, 32, 31]

list[number]

['retweet_count']

['number[uint8]']

[1, 0, 0]

041_Airline

What are the 2 lowest values for sentiment confidence?

[0.335, 0.335]

list[number]

['airline_sentiment_confidence']

['number[double]']

[0.3502, 0.6535]

041_Airline

List the 6 highest sentiment confidence values.

[1.0, 1.0, 1.0, 1.0, 1.0, 1.0]

list[number]

['airline_sentiment_confidence']

['number[double]']

[1.0, 1.0, 1.0, 1.0, 1.0, 1.0]

041_Airline

Is it true that the student with the highest number of absences is from a rural area?

True

boolean

['absences', 'address']

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

False

042_Predict

Are all students who are in a romantic relationship older than 17?

False

boolean

['romantic', 'age']

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

False

042_Predict

Is the average final grade (G3) of students who consume a lot of alcohol (Dalc > 2) lower than those who don't?

True

boolean

['Dalc', 'G3']

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

False

042_Predict

Do all students who have both parents at home (Pstatus = 'T') have more than 3 free time after school (freetime > 3)?

False

boolean

['Pstatus', 'freetime']

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

False

042_Predict

How many students have their mother's education (Medu) level above 3?

131

number

['Medu']

['number[uint8]']

3

042_Predict

What is the average age of students who want to take higher education (higher = 'yes')?

16.634666666666668

number

['higher', 'age']

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

16.944444444444443

042_Predict

What is the highest number of absences among students?

75

number

['absences']

['number[uint8]']

18

042_Predict

How many unique schools are there in the dataset?

2

number

['school']

['category']

2

042_Predict

What is the most common mother's job among students who want to take higher education?

other

category

['higher', 'Mjob']

['category', 'category']

other

042_Predict

What is the gender of the student with the highest final grade (G3)?

M

category

['G3', 'sex']

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

M

042_Predict

What is the school of the student with the highest number of absences?

GP

category

['absences', 'school']

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

GP

042_Predict

What is the family size of the student with the highest final grade (G3)?

GT3

category

['G3', 'famsize']

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

GT3

042_Predict

What are the top 3 reasons for choosing a school among students who want to take higher education?

['course', 'home', 'reputation']

list[category]

['higher', 'reason']

['category', 'category']

['course', 'home', 'reputation']

042_Predict

What are the 5 most common mother's jobs among students with a final grade above 10?

['other', 'services', 'teacher', 'health', 'at_home']

list[category]

['G3', 'Mjob']

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

['other', 'at_home', 'services']

042_Predict

What are the top 4 schools among students with absences above 10?

['GP', 'MS']

list[category]

['absences', 'school']

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

['MS', 'GP']

042_Predict

What are the top 2 family relations among students with a final grade below 10?

[4, 5]

list[category]

['G3', 'famrel']

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

[4, 5]

042_Predict

What are the top 5 ages of students who want to take higher education?

[16, 17, 15, 18, 19]

list[number]

['higher', 'age']

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

[18, 15, 16, 17, 20]

042_Predict

What are the 3 lowest final grades of students who have more than 10 absences?

[4, 14, 17]

list[number]

['absences', 'G3']

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

[6, 9]

042_Predict

What are the top 4 ages of students whose mother's education level is above 3?

[15, 16, 18, 17]

list[number]

['Medu', 'age']

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

[15, 17]

042_Predict

What are the 6 lowest final grades of students who don't want to take higher education?

[8, 10, 12, 9, 7, 13]

list[number]

['higher', 'G3']

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

[10, 12]

042_Predict

Is it true that the oldest company (based on approval year) is from an urban (UrbanRural=1) area?

False

boolean

['ApprovalFY', 'UrbanRural']

['number[uint16]', 'number[uint8]']

False

043_Predict

Are all companies with more than 10 employees located in an urban (UrbanRural=1) area?

False

boolean

['NoEmp', 'UrbanRural']

['number[uint16]', 'number[uint8]']

True

043_Predict

Are all companies with a default amount greater than $250,000 in the food sector?

False

boolean

['default_amount', 'Sector']

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

False

043_Predict

Is the average number of retained jobs higher for companies located in urban (UrbanRural=1) areas than those in rural (UrbanRural=0) areas?

True

boolean

['UrbanRural', 'RetainedJob']

['number[uint8]', 'number[uint16]']

True

043_Predict

How many companies have a franchise code of 1?

57340

number

['FranchiseCode']

['number[uint32]']

14

043_Predict

What is the average disbursement gross for companies in the retail sector?

164636.4123068934

number

['Sector', 'DisbursementGross']

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

043_Predict

What is the highest approval year in the dataset?

2010

number

['ApprovalFY']

['number[uint16]']

2008

043_Predict

How many unique sectors are there in the dataset?

20

number

['Sector']

['category']

8

043_Predict

What is the most common sector among companies with a franchise code of 1?

Retail trade

category

['FranchiseCode', 'Sector']

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

Other services (except public administration)

043_Predict

What is the state of the company with the highest disbursement gross?

ME

category

['DisbursementGross', 'State']

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

FL

043_Predict

What is the bank for the company with the highest default amount?

COMMUNITY BANK & TRUST

category

['default_amount', 'Bank']

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

READYCAP LENDING, LLC

043_Predict

What is the sector of the company with the most number of employees?

Health care and social assistance

category

['NoEmp', 'Sector']

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

Construction

043_Predict

What are the top 3 sectors among companies with a franchise code of 1?

['Retail trade', 'Other services (except public administration)', 'Manufacturing']

list[category]

['FranchiseCode', 'Sector']

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

['Other services (except public administration)', 'Construction', 'Manufacturing']

043_Predict

What are the 5 most common banks among companies with an approval year earlier than 2000?

['WELLS FARGO BANK NATL ASSOC', 'BANK OF AMERICA NATL ASSOC', 'U.S. BANK NATIONAL ASSOCIATION', 'JPMORGAN CHASE BANK NATL ASSOC', 'PNC BANK, NATIONAL ASSOCIATION']

list[category]

['ApprovalFY', 'Bank']

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

['TRUSTMARK NATIONAL BANK', 'KEYBANK NATIONAL ASSOCIATION']

043_Predict

What are the top 4 states among companies with a disbursement gross greater than $1,000,000?

['CA', 'TX', 'FL', 'AZ']

list[category]

['DisbursementGross', 'State']

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

[]

043_Predict

What are the top 2 sectors among companies with a default amount greater than $500,000?

['Retail trade', 'Accommodation and food services']

list[category]

['default_amount', 'Sector']

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

[]

043_Predict

What are the top 5 approval years for companies in the retail sector?

[2005, 2004, 2006, 2007, 2003]

list[number]

['Sector', 'ApprovalFY']

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

[]

043_Predict

What are the 3 highest disbursement gross for companies with a franchise code of 1?

[50000.0, 100000.0, 10000.0]

list[number]

['FranchiseCode', 'DisbursementGross']

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

[249719.0, 136000.0, 125000.0]

043_Predict

What are the top 4 approval years for companies in the state of CA?

[2007, 2004, 2006, 2003]

list[number]

['State', 'ApprovalFY']

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

[2006, 2004, 2003]

043_Predict

What are the 6 highest default amounts among companies in the state of NY?

[0.0, 50000.0, 25000.0, 100000.0, 35000.0, 10000.0]

list[number]

['State', 'default_amount']

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

[49996.0, 12942.0]

043_Predict

Is it true that the oldest movie (based on year) in the drama genre is from the USA?

False

boolean

['year', 'genre', 'country']

['number[UInt16]', 'category', 'category']

False

044_IMDb

Are all movies from the USA, with more than 80 minutes duration in the drama genre, in English?

False

boolean

['duration', 'genre', 'country', 'language']

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

False

044_IMDb

Are all movies with votes greater than 90 from the USA in English?

True

boolean

['votes', 'country', 'language']

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

False

044_IMDb

Is the average duration of English language movies from the USA longer than those from non-USA countries?

False

boolean

['country', 'language', 'duration']

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

False

044_IMDb

How many movies from the USA, in the drama genre, have a metascore of 100?

6

number

['metascore', 'genre', 'country']

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

0

044_IMDb

What is the average duration for movies in the drama genre, from the USA, in English?

96.07926963408374

number

['genre', 'country', 'language', 'duration']

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

100.0

044_IMDb

What is the latest year for English language movies from the USA in the dataset?

2020.0

number

['country', 'language', 'year']

['category', 'category', 'number[UInt16]']

1994

044_IMDb

How many unique languages are there in the dataset for movies from the USA?

650

number

['country', 'language']

['category', 'category']

3

044_IMDb

What is the most common genre among English language movies from the USA with a metascore of 100?

Adventure, Family, Fantasy

category

['metascore', 'country', 'language', 'genre']

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

0

044_IMDb

What is the country of the English language movie with the longest duration?

Argentina

category

['duration', 'language', 'country']

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

USA

044_IMDb

What is the language of the movie from the USA with the highest metascore?

English

category

['metascore', 'country', 'language']

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

0

044_IMDb

What is the genre of the English language movie from the USA with the most votes?

Drama

category

['votes', 'country', 'language', 'genre']

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

Romance, Western

044_IMDb

What are the top 3 genres among English language movies from the USA with a metascore of 100?

['Adventure, Family, Fantasy', 'Drama, Mystery', 'Drama, Romance, War']

list[category]

['metascore', 'country', 'language', 'genre']

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

[]

044_IMDb

What are the 5 most common countries among English language movies with a year earlier than 2000?

['USA', 'UK', 'Canada', 'UK, USA', 'Australia']

list[category]

['year', 'language', 'country']

['number[UInt16]', 'category', 'category']

['USA']

044_IMDb

What are the top 4 languages among movies from the USA with a duration greater than 180 minutes?

['English', 'English, Spanish', 'English, Russian', 'English, Hungarian']

list[category]

['duration', 'country', 'language']

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

[]

044_IMDb

What are the top 2 genres among English language movies from the USA with a metascore greater than 90?

['Drama', 'Crime, Drama']

list[category]

['metascore', 'country', 'language', 'genre']

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

[]

044_IMDb

What are the top 5 years for English language movies from the USA in the drama genre?

[2017.0, 2016.0, 2015.0, 2013.0, 2018.0]

list[number]

['genre', 'country', 'language', 'year']

['category', 'category', 'category', 'number[UInt16]']

[1994]

044_IMDb

What are the 3 longest durations for English language movies from the USA with a metascore of 100?

[102, 119, 112]

list[number]

['metascore', 'country', 'language', 'duration']

['number[UInt8]', 'category', 'category', 'number[uint16]']

[]

044_IMDb

What are the four years with more English language movies from the USA?

[2017.0, 2016.0, 2018.0, 2013.0]

list[number]

['country', 'language', 'year']

['category', 'category', 'number[UInt16]']

[1994, 1942, 1951, 1964]

044_IMDb

Can you show the 6 highest metascores among English language movies from the USA?

[49.0, 55.0, 57.0, 48.0, 54.0, 52.0]

list[number]

['country', 'language', 'metascore']

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

[]

044_IMDb

Is it true that the song with the lowest popularity in the dataset is longer than 300000 ms?

True

boolean

[popularity, duration_ms]

['number[uint8]', 'number[UInt32]']

False

045_Predict

Did any song released in the year 2020 in the dataset achieve the maximum popularity?

False

boolean

[release_year, popularity]

['number[uint16]', 'number[uint8]']

False

045_Predict

Does the song with the longest duration also have the highest energy?

False

boolean

[duration_ms, energy]

['number[UInt32]', 'number[double]']

False

045_Predict

Does the song with the highest energy also have the highest popularity?

False

boolean

[energy, popularity]

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

True

045_Predict

How many unique artists are there in the dataset?

13056

number

[artists]

['list[category]']

20

045_Predict

What's the average song duration in the dataset?

228998.0798095238

number

[duration_ms]

['number[UInt32]']

256381.1

045_Predict

What's the maximum popularity score in the dataset?

94

number

[popularity]

['number[uint8]']

59

045_Predict

How many songs were released in the year with the most releases?

489

number

[release_year]

['number[uint16]']

2

045_Predict

Who is the artist with the highest popularity score?

['Giveon']

category

[popularity, artists]

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

['Victorious Cast', 'Elizabeth Gillies', 'Ariana Grande']

045_Predict

In which month was the most popular song released?

3.0

category

[popularity, release_month]

['number[uint8]', 'number[UInt8]']

8.0

045_Predict

What's the name of the longest song?

Monster Tunes Yearmix 2011 - Mixed by Mark Eteson

category

[duration_ms, name]

['number[UInt32]', 'category']

Ölmez Bu Hareket / Çileli Müjde

045_Predict