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stringlengths 19
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stringlengths 1
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⌀ | type
stringclasses 5
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stringlengths 2
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⌀ | column_types
stringclasses 132
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stringlengths 1
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⌀ | dataset
stringclasses 80
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|---|---|---|---|---|---|---|
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]']
| null |
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
|
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