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stringlengths
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stringclasses
65 values
List the top 3 items most frequently bought in the morning.
['Coffee', 'Bread', 'Pastry']
list[category]
[Item, period_day]
['category', 'category']
['Coffee', 'Bread', 'Farm House']
060_Bakery
Name the top 2 most purchased during the afternoon.
['Coffee', 'Bread']
list[category]
[Item, period_day]
['category', 'category']
['Coffee', 'Bread']
060_Bakery
Identify the top 2 items sold on weekends. If a tie then sort alphabetical.
['Coffee', 'Bread']
list[category]
[Item, weekday_weekend]
['category', 'category']
['Brownie', 'Coke']
060_Bakery
What are the 4 items that were bought two times in the evening?
['Art Tray', 'Mighty Protein', 'Mortimer', 'Vegan Mincepie']
list[category]
[Item, period_day]
['category', 'category']
[]
060_Bakery
Which are the 4 transaction numbers with the most items bought?
[6474, 6716, 6279, 6412]
list[number]
[Transaction]
['number[uint16]']
[6103, 1259, 628, 4627]
060_Bakery
Identify the 5 transaction numbers by frequency.
[9680, 9681, 9682, 9683, 9684]
list[number]
[Transaction]
['number[uint16]']
[2711, 956, 7435, 2214, 5816]
060_Bakery
List the top 6 transaction numbers during which 'Bread' was purchased.
[6412, 6279, 6474, 6603, 6716, 6642]
list[number]
[Transaction, Item]
['number[uint16]', 'category']
[2850, 7104, 7776, 5816]
060_Bakery
Name the bottom 2 transaction numbers where purchases were made in the morning.
[1, 2]
list[number]
[Transaction, period_day]
['number[uint16]', 'category']
[956, 2711]
060_Bakery
Are all the reviews from Australia positive (rating > 3)?
False
boolean
['Reviewer_Location', 'Rating']
['category', 'number[uint8]']
True
061_Disneyland
Is Disneyland_HongKong the most reviewed branch?
False
boolean
['Branch']
['category']
False
061_Disneyland
Are there any reviews with a rating of 1?
True
boolean
['Rating']
['number[uint8]']
True
061_Disneyland
Does every reviewer location have at least one review with a rating of 5?
False
boolean
['Reviewer_Location', 'Rating']
['category', 'number[uint8]']
True
061_Disneyland
How many unique reviewer locations are there?
162
number
['Reviewer_Location']
['category']
9
061_Disneyland
What is the average rating for Disneyland_HongKong?
4.204158004158004
number
['Branch', 'Rating']
['category', 'number[uint8]']
4.25
061_Disneyland
What is the maximum review ID? If there is a tie then pick the highest ID.
670801367
number
['Review_ID']
['number[uint32]']
644423763
061_Disneyland
How many reviews were made in 2019?
786
number
['Year_Month']
['category']
2
061_Disneyland
What is the most common reviewer location?
United States
category
['Reviewer_Location']
['category']
United States
061_Disneyland
What is the branch with the lowest average rating?
Disneyland_Paris
category
['Branch', 'Rating']
['category', 'number[uint8]']
Disneyland_California
061_Disneyland
In which date was the first most negative review (rating=1) made?
2010-12
category
['Year_Month', 'Rating']
['category', 'number[uint8]']
2011-10
061_Disneyland
What is the reviewer location with the highest average rating? If there is a tie then pick the first one alphabetically
Armenia
category
['Reviewer_Location', 'Rating']
['category', 'number[uint8]']
Australia
061_Disneyland
What are the top 3 reviewer locations with the most reviews?
['United States', 'United Kingdom', 'Australia']
list[category]
['Reviewer_Location']
['category']
['United States', 'Australia', 'Malta']
061_Disneyland
What are the bottom 2 branches in terms of average rating?
['Disneyland_Paris', 'Disneyland_HongKong']
list[category]
['Branch', 'Rating']
['category', 'number[uint8]']
['Disneyland_California', 'Disneyland_HongKong']
061_Disneyland
What are the top 4 dates with the most reviews?
['missing', '2015-8', '2015-7', '2015-12']
list[category]
['Year_Month']
['category']
['missing', '2019-1', '2015-12', '2012-5']
061_Disneyland
What are the bottom 3 reviewer locations in terms of average rating?
['Turks and Caicos Islands', 'South Sudan', 'Suriname']
list[category]
['Reviewer_Location', 'Rating']
['category', 'number[uint8]']
['Canada', 'United States', 'United Kingdom']
061_Disneyland
What are the top 5 review IDs in terms of rating? If you find a tie then keep the highest IDs.
[670801367, 670760708, 670721950, 670606796, 670585330]
list[number]
['Review_ID', 'Rating']
['number[uint32]', 'number[uint8]']
[644423763, 643982268, 635972926, 621724235, 576395715]
061_Disneyland
What are the bottom 4 review IDs in terms of rating? If there is a tie then keep the lowest IDs
[1534364, 2718239, 2831747, 2945119]
list[number]
['Review_ID', 'Rating']
['number[uint32]', 'number[uint8]']
[119781124, 337648026, 620582661, 124120037]
061_Disneyland
What are the top 3 ratings given by reviewers from Australia?
[5, 5, 5]
list[number]
['Reviewer_Location', 'Rating']
['category', 'number[uint8]']
[5, 5, 5]
061_Disneyland
What are the bottom 2 ratings given for Disneyland_HongKong?
[1, 1]
list[number]
['Branch', 'Rating']
['category', 'number[uint8]']
[5, 2]
061_Disneyland
Are all the tweets in English?
False
boolean
['lang']
['category']
True
062_Trump
Has the author ever been retweeted?
True
boolean
['retweets']
['number[UInt32]']
True
062_Trump
Are there any tweets with more than 10000 retweets?
True
boolean
['retweets']
['number[uint32]']
True
062_Trump
Have any of the tweets been favorited more than 50000 times?
True
boolean
['favorites']
['number[uint32]']
True
062_Trump
How many unique authors are there?
1
number
['author_name']
['category']
1
062_Trump
What is the average number of retweets?
8774.52044683822
number
['retweets']
['number[uint32]']
8111.15
062_Trump
What is the maximum number of favorites received for a single tweet?
589793
number
['favorites']
['number[uint32]']
105448
062_Trump
How many tweets were posted in 2018?
2891
number
['date']
['date[ns, UTC]']
2
062_Trump
What is the most common author name?
Donald J. Trump
category
['author_name']
['category']
Donald J. Trump
062_Trump
What is the tweet with the most favorites?
Such a beautiful and important evening! The forgotten man and woman will never be forgotten again. We will all come together as never before
category
['text', 'favorites']
['text', 'number[uint32]']
I have great confidence that China will properly deal with North Korea. If they are unable to do so, the U.S., with its allies, will! U.S.A.
062_Trump
In which language is the tweet with the most retweets written?
und
category
['lang', 'retweets']
['category', 'number[uint32]']
en
062_Trump
What is the most common language of the tweets?
en
category
['lang']
['category']
en
062_Trump
What are the top 3 author handlers with the most tweets?
['realDonaldTrump']
list[category]
['author_handler']
['category']
['realDonaldTrump']
062_Trump
What are the bottom 2 languages in terms of tweet count?
['pt', 'fi']
list[category]
['lang']
['category']
['en']
062_Trump
What are the top 4 mentioned names in the tweets?
['realDonaldTrump', 'FoxNews', 'CNN', 'foxandfriends']
list[category]
['mention_names']
['list[category]']
['[]', '"realDonaldTrump"]', '["IvankaTrump"', '"trumpferrypoint"']
062_Trump
What are the bottom 3 author names in terms of tweet count?
['Donald J. Trump']
list[category]
['author_name']
['category']
['Donald J. Trump']
062_Trump
What are the top 5 tweet IDs in terms of retweet count?
[881503147168071680, 795954831718498305, 929511061954297857, 796315640307060738, 948355557022420992]
list[number]
['id', 'retweets']
['number[int64]', 'number[uint32]']
[852508752142114816, 900150814081036288, 1017190186269184001, 822501939267141634, 761711856457125888]
062_Trump
What are the bottom 4 tweet IDs in terms of favorite count?
[591222909626114050, 591412084895838208, 586751374286721024, 575589231160127489]
list[number]
['id', 'favorites']
['number[int64]', 'number[uint32]']
[603361519192174592, 589632894177533953, 616672730319069185, 618552478653616128]
062_Trump
What are the top 6 favorite counts of the tweets?
[589793, 589750, 557779, 539249, 476457, 376626]
list[number]
['favorites']
['number[uint32]']
[105448, 85433, 84944, 79544, 67612, 59793]
062_Trump
What are the bottom 3 retweet counts of the tweets?
[1, 1, 2]
list[number]
['retweets']
['number[uint32]']
[10, 14, 376]
062_Trump
Are there any organizations in the dataset?
False
boolean
['is_organization']
['boolean']
False
063_Influencers
Are there any individuals (non-organizations) in the dataset?
True
boolean
['is_organization']
['boolean']
True
063_Influencers
Do all entities have a picture?
True
boolean
['pic']
['url']
True
063_Influencers
Are there any entities with a weight greater than 500?
True
boolean
['weight']
['number[double]']
False
063_Influencers
How many unique communities are there?
9
number
['community']
['number[uint32]']
6
063_Influencers
What is the average page rank norm?
0.08848033260794509
number
['page_rank_norm']
['number[double]']
0.0923955552240227
063_Influencers
What is the maximum weight of an entity?
770.5
number
['weight']
['number[double]']
324.5
063_Influencers
How many entities have a community identifier of 16744206?
651
number
['community']
['number[uint32]']
11
063_Influencers
What is the most common name?
Christophe Viau
category
['name']
['category']
Peter Skomoroch
063_Influencers
Which entity has the highest page rank norm?
Mike Bostock
category
['name', 'page_rank_norm']
['category', 'number[double]']
Data Science Fact
063_Influencers
What is the picture URL of the entity with the maximum weight?
https://storage.googleap…l.jpg?1517502050
category
['pic', 'weight']
['url', 'number[double]']
https://storage.googleap….jpeg?1517502015
063_Influencers
Which entity has the highest y-coordinate?
The Gibson Project
category
['name', 'y']
['category', 'number[double]']
Paul Klemm
063_Influencers
What are the top 3 entity names with the highest weights?
['Lynn Cherny', 'Alberto Cairo', 'Sinan Aral']
list[category]
['name', 'weight']
['category', 'number[double]']
['Peter Skomoroch', 'Nieman Lab', 'Munmun De Choudhury']
063_Influencers
What are the bottom 2 entities in terms of page rank norm?
['LIFE', 'New Options Project']
list[category]
['name', 'page_rank_norm']
['category', 'number[double]']
['Christopher', 'Chris J. Headleand']
063_Influencers
What are the top 4 entities with the highest x-coordinates?
['Detective.io', 'The Thrust', 'Open Budgets', 'NewsFuturist']
list[category]
['name', 'x']
['category', 'number[double]']
['Catherine Rampell', 'Nieman Lab', 'Deok Gun Park', 'ESFL']
063_Influencers
What are the bottom 3 entities in terms of y-coordinates?
['digital PR cat', 'Ismail Onur Filiz', 'Dave Golland']
list[category]
['name', 'y']
['category', 'number[double]']
['ESFL', 'WikipediaLiveMonitor', 'Alberto Perdomo']
063_Influencers
What are the top 5 entity IDs in terms of weight?
[568, 423, 6392, 4548, 579]
list[number]
['id', 'weight']
['number[uint32]', 'number[double]']
[527, 498, 411, 8031, 91203]
063_Influencers
What are the bottom 4 entity IDs in terms of page rank norm?
[177, 240, 294, 369]
list[number]
['id', 'page_rank_norm']
['number[uint32]', 'number[double]']
[35070, 35046, 35106, 35054]
063_Influencers
What are the top 6 page rank norms of the entities?
[1.0, 0.6029751067034804, 0.5666707687637932, 0.5202348027491394, 0.5110606617858531, 0.5081183103684572]
list[number]
['page_rank_norm']
['number[double]']
[0.4905835057931528, 0.2858285808469396, 0.2194061763508274, 0.2171608658929857, 0.1213462154304343, 0.1023296876109954]
063_Influencers
What are the bottom 3 weights of the entities?
[1.0, 1.0, 1.0]
list[number]
['weight']
['number[double]']
[3.0, 5.0, 7.0]
063_Influencers
Are there any animals with feathers in the dataset?
True
boolean
['feathers']
['number[uint8]']
True
064_Clustering
Are there any venomous animals in the dataset?
True
boolean
['venomous']
['number[uint8]']
True
064_Clustering
Do all animals breathe?
False
boolean
['breathes']
['number[uint8]']
False
064_Clustering
Are there any domesticated animals in the dataset?
True
boolean
['domestic']
['number[uint8]']
True
064_Clustering
How many unique types of animals are there?
7
number
['class_type']
['number[uint8]']
4
064_Clustering
What is the average number of legs?
2.8415841584158414
number
['legs']
['number[uint8]']
3.1
064_Clustering
What is the maximum number of legs an animal has?
8
number
['legs']
['number[uint8]']
6
064_Clustering
How many animals are there with 2 legs?
27
number
['legs']
['number[uint8]']
4
064_Clustering
What is the most common class type?
1
category
['class_type']
['number[uint8]']
1
064_Clustering
What is the name of the first animal with 8 legs?
octopus
category
['animal_name', 'legs']
['category', 'number[uint8]']
null
064_Clustering
What is the class type of the animals with the most legs?
7
category
['class_type', 'legs']
['number[uint8]', 'number[uint8]']
6
064_Clustering
What is the name of the first animal in the dataset that is venomous?
frog
category
['animal_name', 'venomous']
['category', 'number[uint8]']
honeybee
064_Clustering
What are the top 3 animal names with the most legs? If there are more than two with the lowest number go with alphabetical order
['octopus', 'scorpion', 'crayfish']
list[category]
['animal_name', 'legs']
['category', 'number[uint8]']
['honeybee', 'gnat', 'wasp']
064_Clustering
What are the bottom 2 animal names in terms of the number of legs? If there are more than two with the lowest number go with alphabetical order
['bass', 'carp']
list[category]
['animal_name', 'legs']
['category', 'number[uint8]']
['porpoise', 'dogfish']
064_Clustering
What are the most common 4 class types with the most animals?
[1, 2, 4, 7]
list[category]
['class_type']
['number[uint8]']
[1, 6, 4, 2]
064_Clustering
What are the least common 3 class types with the least animals?
[5, 3, 6]
list[category]
['class_type']
['number[uint8]']
[4, 2, 7]
064_Clustering
What are the most common 5 class types with the most combined total legs?
[1, 6, 2, 7, 5]
list[number]
['class_type', 'legs']
['number[uint8]', 'number[uint8]']
[1, 6, 2, 4, 7]
064_Clustering
What are the bottom 4 class types with the least combined total legs?
[4, 3, 5, 7]
list[number]
['class_type', 'legs']
['number[uint8]', 'number[uint8]']
[4, 7, 2, 6]
064_Clustering
What are the most common 4 numbers of legs that animals have?
[4, 2, 0, 6]
list[number]
['legs']
['number[uint8]']
[4, 2, 0, 6]
064_Clustering
What are the least common 3 numbers of legs that animals have?
[5, 8, 6]
list[number]
['legs']
['number[uint8]']
[2, 0, 6]
064_Clustering
Are all the quantities greater than 0?
False
boolean
['Quantity']
['number[int32]']
False
065_RFM
Are all the unit prices greater than 0?
False
boolean
['UnitPrice']
['number[double]']
True
065_RFM
Are there any missing customer IDs?
True
boolean
['CustomerID']
['number[UInt16]']
True
065_RFM
Are there any transactions from the United Kingdom?
True
boolean
['Country']
['category']
True
065_RFM
How many unique stock codes are there?
4070
number
['StockCode']
['category']
20
065_RFM
What is the average unit price?
4.611113626088513
number
['UnitPrice']
['number[double]']
3.5415
065_RFM
What is the maximum quantity ordered in a single transaction?
80995
number
['Quantity']
['number[int32]']
25
065_RFM
How many transactions were made in the United Kingdom?
495478
number
['Country']
['category']
19
065_RFM
Which country made the most transactions?
United Kingdom
category
['Country']
['category']
United Kingdom
065_RFM
What is the description of the item with the highest unit price?
Manual
category
['Description', 'UnitPrice']
['category', 'number[double]']
RETROSPOT LAMP
065_RFM
What is the description of the item with the highest quantity ordered?
PAPER CRAFT , LITTLE BIRDIE
category
['Description', 'Quantity']
['category', 'number[int32]']
BLUE POLKADOT WRAP
065_RFM
Which country does the customer with the lowest ID come from?
United Kingdom
category
['Country', 'CustomerID']
['category', 'number[UInt16]']
Australia
065_RFM