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65 values
What's the name of the song with the most energy?
Marathon (Mix Cut) - Simon O'Shine Mix
category
[energy, name]
['number[double]', 'category']
Give It Up (feat. Elizabeth Gillies & Ariana Grande)
045_Predict
What are the the 2 shortest songs in the dataset?
['Rhapsody on a Theme of Paganini, Op. 43: Introduction - Allegro vivace', 'Intro']
list[category]
[name, duration_ms]
['list[category]']
['Show das Poderosas', 'Give It Up (feat. Elizabeth Gillies & Ariana Grande)']
045_Predict
What are the names of the top 3 most popular songs?
[Heartbreak Anniversary, Good Days, Paradise (feat. Dermot Kennedy)]
list[category]
[popularity, name]
['number[uint8]', 'category']
['Give It Up (feat. Elizabeth Gillies & Ariana Grande)', 'Lächeln', 'Winter Winds']
045_Predict
What are the top 3 artists who released songs with the longest durations?
['Mark Eteson', 'Various Artists', 'Serge Reggiani']
list[category]
[duration_ms, artists]
['number[UInt32]', 'list[category]']
["['Ozan Arif']", "['環球演奏團']", "['Andrew E.']"]
045_Predict
What are the names of the top 2 songs with the most energy?
[Marathon (Mix Cut) - Simon O'Shine Mix, Applause; Martha Tilton Returns to Stage - Live]
list[category]
[energy, name]
['number[double]', 'category']
['Give It Up (feat. Elizabeth Gillies & Ariana Grande)', 'Rahasia Perempuan']
045_Predict
What are the top 5 most popular scores?
[0, 35, 23, 1, 26]
list[number]
[popularity]
['number[uint8]']
[52, 59, 27, 47, 46]
045_Predict
What are the 3 longest song durations?
[4792587.0, 4658245.0, 4585640.0]
list[number]
[duration_ms]
['number[UInt32]']
[698880.0, 496600.0, 324587.0]
045_Predict
What are the 4 latest release years in the dataset?
[2021, 2021, 2021, 2021]
list[number]
[release_year]
['number[uint16]']
[2020, 2017, 2013, 2012]
045_Predict
What are the top 3 energy scores in the dataset?
[1.0, 1.0, 1.0]
list[number]
[energy]
['number[double]']
[0.944, 0.908, 0.822]
045_Predict
Is it true that the athlete with the lowest ID is older than 30 years?
True
boolean
[ID, Age]
['number[uint32]', 'number[UInt8]']
True
046_120
Did any athlete from the team with the most participants win two gold medals?
False
boolean
[Team, Medal]
['category', 'category']
False
046_120
Does the athlete with the highest weight also participate in the sport with the most athletes?
False
boolean
[Weight, Sport]
['number[UInt8]', 'category']
False
046_120
Does the athlete with the highest height also have a medal?
False
boolean
[Height, Medal]
['number[UInt8]', 'category']
False
046_120
How many unique teams are there in the dataset?
230
number
[Team]
['category']
15
046_120
What's the average age of athletes in the dataset?
25.556898357297374
number
[Age]
['number[UInt8]']
27.15
046_120
What's the maximum weight of athletes in the dataset?
214.0
number
[Weight]
['number[UInt8]']
92.0
046_120
How many athletes participated in the year with the most participants?
2536
number
[Year]
['number[uint16]']
2
046_120
Who is the athlete with the highest weight?
Ricardo Blas Jr.
category
[Weight, Name]
['number[UInt8]', 'category']
Martin Laumann Ylven
046_120
In which city did the athlete with the highest height participate?
London
category
[Height, City]
['number[UInt8]', 'category']
Vancouver
046_120
What's the name of the athlete who participated in the most number of games?
Robert Tait McKenzie
category
[Name]
['category']
Khalid Raghib
046_120
What's the sport of the athlete with the most medals?
Art Competitions
category
[Medal, Sport, Name]
['category', 'category', 'category']
Rowing
046_120
What are the top 5 most common team names in the dataset?
[United States, France, Great Britain, Italy, Germany]
list[category]
[Team]
['category']
['Morocco', 'Romania', 'Germany', 'Japan', 'Italy']
046_120
What are the names of the top 3 athletes with the highest weights?
[Ricardo Blas Jr., Shinichi Shinohara, Emmanuel Yarborough]
list[category]
[Weight, Name]
['number[UInt8]', 'category']
['Martin Laumann Ylven', 'Juri Takayama', 'Graziano Mancinelli']
046_120
What are the 4 most common cities of participation?
[London, Athina, Sydney, Atlanta]
list[number]
[Year]
['number[uint16]']
[London, Sydney, Stockholm, Tokyo]
046_120
What are the names of the top 2 athletes who participated in the most number of games?
[Robert Tait McKenzie, Heikki Ilmari Savolainen]
list[category]
[Name]
['category']
['Khalid Raghib', 'Mrioara Trac (-Curelea)']
046_120
What are the top five most common ages of athletes?
[23.0, 24.0, 22.0, 25.0, 21.0]
list[number]
[Age]
['number[UInt8]']
[27.0, 22.0, 21.0, 19.0, 25.0]
046_120
What are the three highest weights of athletes?
[214.0, 198.0, 190.0]
list[number]
[Weight]
['number[UInt8]']
[92.0, 85.0, 77.0]
046_120
What are the 4 most common years of participation?
[1992, 1988, 2000, 1996]
list[number]
[Year]
['number[uint16]']
[1912, 2000, 1956, 1964]
046_120
What are the three most common heights of athletes?
[180.0, 170.0, 178.0]
list[number]
[Height]
['number[UInt8]']
[172.0, 175.0, 174.0]
046_120
Does the dataset contain customers who are under the age of 18?
False
boolean
['customer_age']
['number[uint8]']
False
047_Bank
Are there any customers with a total transaction amount of zero?
False
boolean
['total_trans_amt']
['number[uint16]']
False
047_Bank
Does the dataset include customers with a credit limit exceeding $50,000?
False
boolean
['credit_limit']
['number[UInt16]']
False
047_Bank
Are there any customers in the dataset who are inactive for more than 12 months?
False
boolean
['months_inactive_12_mon']
['number[uint8]']
False
047_Bank
What is the highest credit limit in the dataset?
34516.0
number
['credit_limit']
['number[UInt16]']
34516.0
047_Bank
What is the maximum total transaction amount recorded?
18484
number
['total_trans_amt']
['number[uint16]']
5149
047_Bank
What is the largest total revolving balance in the dataset?
2517
number
['total_revolving_bal']
['number[uint16]']
2517
047_Bank
What is the highest customer age in the dataset?
73
number
['customer_age']
['number[uint8]']
58
047_Bank
What is the most common level of education among the customers?
Graduate
category
['education_level']
['category']
Graduate
047_Bank
What is the most common income category of the customers?
Less than $40K
category
['income_category']
['category']
Less than $40K
047_Bank
Which gender is most represented among the customers?
F
category
['gender']
['category']
F
047_Bank
What is the most common attrition flag value?
0
category
['attrition_flag']
['category']
0
047_Bank
What are the top 3 most common education levels among the customers?
['Graduate', 'High School', 'Unknown']
list[category]
['education_level']
['category']
['Graduate', 'Unknown', 'Post-Graduate']
047_Bank
Which are 4 most frequent income categories?
['Less than $40K', '$40K - $60K', '$80K - $120K', '$60K - $80K']
list[category]
['income_category']
['category']
['Less than $40K', 'Unknown', '$80K - $120K', '$40K - $60K']
047_Bank
Which are the top 3 most frequent income categories?
['Less than $40K', '$40K - $60K', '$80K - $120K']
list[category]
['income_category']
['category']
['Less than $40K', 'Unknown', '$80K - $120K']
047_Bank
Which are the two most frequent income categories?
['Less than $40K', '$40K - $60K']
list[category]
['income_category']
['category']
['Less than $40K', 'Unknown']
047_Bank
How old are the 5 oldest customers in the dataset?
[73, 70, 68, 67, 67]
list[number]
['customer_age']
['number[uint8]']
[58, 57, 57, 56, 54]
047_Bank
What are the five customer IDs with the highest credit limit?
[34516.0, 34516.0, 34516.0, 34516.0, 34516.0]
list[number]
['credit_limit', 'id']
['number[UInt16]', 'number[uint16]']
[3782, 8260, 8918, 8055, 3002]
047_Bank
Who are the 6 customers with the highest total transaction amount?
[18484, 17744, 17634, 17498, 17437, 17350]
list[number]
['total_trans_amt', 'id']
['number[uint16]', 'number[uint16]']
[2000, 2418, 10093, 3782, 9612, 7951]
047_Bank
Who are the six customer ids with the highest total revolving balance?
[2517, 2517, 2517, 2517, 2517, 2517]
list[number]
['total_revolving_bal', 'id']
['number[uint16]', 'number[uint16]']
[10093, 7430, 6400, 3782, 9612, 7360]
047_Bank
Are there any job positions available in 'New York, NY'?
True
boolean
['Location']
['category']
True
048_Data
Are there any job listings from companies founded before 1900?
True
boolean
['Founded']
['number[int16]']
False
048_Data
Are there any job listings that require Python skills?
True
boolean
['python_yn']
['number[uint8]']
True
048_Data
Is there a job listing for a 'Data Engineer' role?
True
boolean
['Job Title']
['category']
True
048_Data
How many unique job titles are listed?
264
number
['Job Title']
['category']
19
048_Data
On average, how old are the companies that have job listings?
46.591644204851754
number
['age']
['number[int16]']
1885.25
048_Data
What's the highest rating a company has received?
5.0
number
['Rating']
['number[double]']
4.7
048_Data
How many job listings are there from 'Government' type of ownership?
15
number
['Type of ownership']
['category']
0
048_Data
Which job title has the highest average salary?
Director II, Data Science - GRM Actuarial
category
['Job Title', 'avg_salary']
['category', 'number[double]']
Lead Big Data Engineer
048_Data
Which state has the most number of job listings?
CA
category
['job_state']
['category']
CA
048_Data
From which sector is the job listing with the highest salary?
Insurance
category
['Sector', 'avg_salary']
['category', 'number[double]']
Information Technology
048_Data
Which company size has the most job listings?
1001 to 5000 employees
category
['Size']
['category']
1001 to 5000 employees
048_Data
Which are the top 3 sectors with the most job listings?
['Information Technology', 'Biotech & Pharmaceuticals', 'Business Services']
list[category]
['Sector']
['category']
['Information Technology', 'Insurance', 'Business Services']
048_Data
List the 4 most common industries in the dataset.
['Biotech & Pharmaceuticals', 'Insurance Carriers', 'Computer Hardware & Software', 'IT Services']
list[category]
['Industry']
['category']
['Computer Hardware & Software', 'Insurance Carriers', 'Enterprise Software & Network Solutions', 'Internet']
048_Data
Which 5 states have the most number of job listings?
[' CA', ' MA', ' NY', ' VA', ' IL']
list[category]
['job_state']
['category']
[' CA', ' MA', ' NY', ' IL', ' TN']
048_Data
List the 3 company sizes with the least number of job listings.
['-1', '1 to 50 employees', 'Unknown']
list[category]
['Size']
['category']
['10000+ employees', 'Unknown', '501 to 1000 employees']
048_Data
What are the top 4 average salaries for job titles in the dataset?
[254.0, 232.5, 225.0, 205.0]
list[number]
['Job Title', 'avg_salary']
['category', 'number[double]']
[162.0, 161.5, 154.5, 150.5]
048_Data
List the year the 3 oldest companies that have job listings were founded.
[1744, 1781, 1781]
list[number]
['Founded']
['number[int16]']
[1784, 1912, 1928]
048_Data
Which are the highest 3 ratings given?
[5.0, 5.0, 5.0]
list[number]
['Rating']
['number[double]']
[4.7, 4.4, 4.3]
048_Data
List the average salaries of the 6 most recent companies.
[78.0, 88.5, 110.0, 40.5, 132.5, 20.5]
list[number]
['Founded', 'avg_salary']
['number[int16]', 'number[double]']
[122.0, 150.5, 154.5, 162.0, 59.5, 102.5]
048_Data
Are there any authors in the dataset who have more followers than people they are following?
True
boolean
['user_followers_count<gx:number>', 'user_following_count<gx:number>']
['number[uint32]', 'number[uint16]']
True
049_Boris
Is there any tweet in the dataset that has more replies<gx:number> than retweets<gx:number>?
True
boolean
['replies<gx:number>', 'retweets<gx:number>']
['number[uint16]', 'number[uint32]']
True
049_Boris
Are there any verified users who have tweeted in a language other than English?
True
boolean
['user_verified<gx:boolean>', 'lang<gx:category>']
['boolean', 'category']
False
049_Boris
Does the dataset contain any tweets that include image links?
True
boolean
[image_links<gx:list[url]>]
['list[url]']
True
049_Boris
How many unique authors are present in the dataset?
1
number
['author_id<gx:category>']
['number[uint32]']
1
049_Boris
What is the highest number of retweets<gx:number> a single tweet has received?
117386
number
['retweets<gx:number>']
['number[uint32]']
5939
049_Boris
What is the average number of favorites per tweet?
5081.805590062112
number
['favorites<gx:number>']
['number[uint32]']
7154.5
049_Boris
What's the total number of tweets from verified users?
3220
number
['user_verified<gx:boolean>']
['boolean']
20
049_Boris
Which author has the most tweets in the dataset?
3131144855
category
['author_id<gx:category>']
['number[uint32]']
3131144855
049_Boris
Which language is most commonly used in the tweets?
en
category
['lang<gx:category>']
['category']
en
049_Boris
What is the most common source of tweets?
<a href="http://twitter.com/download/iphone" rel="nofollow">Twitter for iPhone</a>
category
['source<gx:text>']
['category']
Twitter for iPhone
049_Boris
Which type of tweet (e.g., original, retweet, quote) is most common in the dataset?
original
category
['type<gx:category>']
['category']
original
049_Boris
Who are the top three authors (by ID) with the most followers?
[3131144855, 3131144855, 3131144855]
list[category]
['author_id<gx:category>', 'user_followers_count<gx:number>']
['number[uint32]', 'number[uint32]']
[3131144855, 3131144855, 3131144855]
049_Boris
What are the top five most frequently mentioned names in the tweets?
['G7', 'foreignoffice', 'UN', 'Conservatives', 'COP26']
list[category]
['mention_names<gx:list[category]>']
['list[category]']
['[]', '[Hillingdon_Tory]', '[UN]', '[CyrilRamaphosa]', '[JoeMurphyLondon]']
049_Boris
List the top four most commonly used languages in the tweets.
['en', 'und', 'fr', 'es']
list[category]
['lang<gx:category>']
['category']
['en']
049_Boris
What are the highest three numbers of followers count present in the dataset?
[3543402, 3543402, 3543402]
list[number]
['user_followers_count<gx:number>']
['number[uint32]']
[3543402, 3543402, 3543402]
049_Boris
What are the bottom four numbers of favorites count?
[7, 7, 8, 9]
list[number]
['favorites<gx:number>']
['number[uint32]']
[137, 198, 202, 210]
049_Boris
List the top six numbers of retweets.
[117386, 53527, 35698, 31449, 24824, 19982]
list[number]
['retweets<gx:number>']
['number[uint32]']
[5939, 4233, 2075, 1901, 1259, 1087]
049_Boris
What are the bottom five numbers of replies?
[2, 2, 3, 3, 4]
list[number]
['replies<gx:number>']
['number[uint16]']
[19, 38, 41, 49, 49]
049_Boris
Is the most favorited author mainly communicating in Spanish?
True
boolean
['favorites', 'lang']
['category', 'category']
True
050_ING
Does the author with the longest name post mainly original content?
True
boolean
['author_name', 'type']
['category', 'category']
False
050_ING
Is there an author who received no retweets for any of their posts?
True
boolean
['author_name', 'retweets']
['category', 'number[uint8]']
True
050_ING
Are there any posts that do not contain any links?
True
boolean
['links']
['list[url]']
True
050_ING
How many unique authors are in the dataset?
3765
number
['author_name']
['category']
20
050_ING
What is the length of the longest post (based on the number of words)?
61
number
['text']
['text']
49
050_ING
What is the total number of retweets received by all authors in the dataset?
1243
number
['retweets']
['number[uint8]']
2
050_ING
How many posts do not contain any mentions of other users?
0
number
['mention_ids']
['list[number[int64]]']
0
050_ING
What is the name of the most retweeted author?
ING España
category
['author_name', 'retweets']
['category', 'number[uint8]']
ING enfurecido 🦁
050_ING
What is the language of the most favorited post?
es
category
['lang', 'favorites']
['category', 'number[uint8]']
es
050_ING
Who is the author of the post with the most words?
juan prin
category
['author_name', 'text']
['category', 'text']
🇪🇸 Bearded.LocutusBorg 🇮🇪🏳️‍🌈
050_ING
What type of post (original, reply, or other) is the most common in the dataset?
reply
category
['type']
['category']
reply
050_ING