question
string | answer
string | type
string | columns_used
string | column_types
string | sample_answer
string | dataset
string |
|---|---|---|---|---|---|---|
Enumerate the 3 URLs with the highest ranking.
|
['https://www.obviously.ai/', 'https://www.obviously.ai/', 'https://venturebeat.com/2021/10/12/no-code-ai-startup-obviously-ai-raises-4-7m/']
|
list[category]
|
['Ranking', 'URLs']
|
['number[uint8]', 'url']
|
[https://www.obviously.ai/, https://hbr.org/2021/11/how-no-code-platforms-can-bring-ai-to-small-and-midsize-businesses, https://analyticsindiamag.com/top-12-no-code-machine-learning-platforms-in-2021/]
|
025_Data
|
What are the lowest 4 rankings associated with the keyword 'no code data science'?
|
[10, 9, 8, 7]
|
list[number]
|
['Keyword', 'Ranking']
|
['category', 'number[uint8]']
|
[10, 9, 6, 4]
|
025_Data
|
List the bottom 3 average monthly searches for URLs with medium competition.
|
[50, 50, 50]
|
list[number]
|
['Competition', 'Avg. monthly searches']
|
['category', 'number[uint8]']
|
[50, 50, 50]
|
025_Data
|
Provide the lowest 5 rankings of URLs with low competition (if any).
|
[11, 10, 10, 9, 9]
|
list[number]
|
['Competition', 'Ranking']
|
['category', 'number[uint8]']
|
[11, 8, 6, 6, 5]
|
025_Data
|
Specify the bottom 2 average monthly searches for URLs with the highest rankings.
|
[50, 50]
|
list[number]
|
['Ranking', 'Avg. monthly searches']
|
['number[uint8]', 'number[uint8]']
|
[50]
|
025_Data
|
Is there any wine with a quality rating of 10?
|
False
|
boolean
|
['quality']
|
['number[uint8]']
|
False
|
026_Predicting
|
Are there any wines with residual sugar above 15g/dm^3?
|
True
|
boolean
|
['residual sugar']
|
['number[double]']
|
False
|
026_Predicting
|
Is the highest alcohol content wine also the one with the highest quality rating?
|
False
|
boolean
|
['alcohol', 'quality']
|
['number[double]', 'number[uint8]']
|
False
|
026_Predicting
|
Does any wine have a pH level below 2.5?
|
False
|
boolean
|
['pH']
|
['number[double]']
|
False
|
026_Predicting
|
How many unique quality ratings are there in the dataset?
|
6
|
number
|
['quality']
|
['number[uint8]']
|
5
|
026_Predicting
|
What is the maximum fixed acidity level found in the dataset?
|
15.9
|
number
|
['fixed acidity']
|
['number[double]']
|
10.7
|
026_Predicting
|
What is the minimum volatile acidity level in the dataset?
|
0.12
|
number
|
['volatile acidity']
|
['number[double]']
|
0.28
|
026_Predicting
|
How many wines have free sulfur dioxide above 50 mg/dm^3?
|
16
|
number
|
['free sulfur dioxide']
|
['number[UInt8]']
|
0
|
026_Predicting
|
What is the quality rating of the wine with the highest alcohol content?
|
5
|
category
|
['alcohol', 'quality']
|
['number[double]', 'number[uint8]']
|
7.0
|
026_Predicting
|
What is the quality rating of the wine with the highest fixed acidity?
|
5
|
category
|
['fixed acidity', 'quality']
|
['number[double]', 'number[uint8]']
|
6.0
|
026_Predicting
|
What is the quality rating of the wine with the lowest volatile acidity?
|
7
|
category
|
['volatile acidity', 'quality']
|
['number[double]', 'number[uint8]']
|
7.0
|
026_Predicting
|
What is the quality rating of the wine with the highest pH level?
|
6
|
category
|
['pH', 'quality']
|
['number[double]', 'number[uint8]']
|
6.0
|
026_Predicting
|
List the quality ratings of the top 3 wines with the highest alcohol content.
|
['5', '6', '6']
|
list[category]
|
['alcohol', 'quality']
|
['number[double]', 'number[uint8]']
|
[7, 7, 8]
|
026_Predicting
|
Enumerate the quality ratings of the bottom 2 wines with the lowest residual sugar.
|
['6', '6']
|
list[category]
|
['residual sugar', 'quality']
|
['number[double]', 'number[uint8]']
|
[5, 5]
|
026_Predicting
|
Which are the quality ratings of the top 5 wines with the highest density?
|
['6', '6', '7', '5', '5']
|
list[category]
|
['density', 'quality']
|
['number[double]', 'number[uint8]']
|
[6, 7, 5, 7, 6]
|
026_Predicting
|
List the quality ratings of the bottom 4 wines with the lowest pH level.
|
['4', '6', '6', '8']
|
list[category]
|
['pH', 'quality']
|
['number[double]', 'number[uint8]']
|
[7, 8, 5, 7]
|
026_Predicting
|
What are the alcohol contents of the top 4 wines with the highest quality ratings?
|
['12.8', '12.6', '12.9', '9.8']
|
list[number]
|
['quality', 'alcohol']
|
['number[uint8]', 'number[double]']
|
[11.7, 11.8, 12.3, 10.0]
|
026_Predicting
|
List the volatile acidity levels of the bottom 3 wines with the lowest quality ratings.
|
['0.58', '0.61', '1.185']
|
list[number]
|
['quality', 'volatile acidity']
|
['number[uint8]', 'number[double]']
|
[0.76, 0.5, 0.46]
|
026_Predicting
|
Enumerate the fixed acidity levels of the top 5 wines with the highest quality ratings.
|
['7.9', '10.3', '5.6', '12.6', '11.3']
|
list[number]
|
['quality', 'fixed acidity']
|
['number[uint8]', 'number[double]']
|
[9.4, 10.5, 8.9, 10.1, 7.7]
|
026_Predicting
|
Provide the residual sugar levels of the bottom 2 wines with the lowest quality ratings.
|
['2.2', '2.1']
|
list[number]
|
['quality', 'residual sugar']
|
['number[uint8]', 'number[double]']
|
[1.8, 1.6]
|
026_Predicting
|
Is there any purchase with a total cost above 1000?
|
True
|
boolean
|
['Total']
|
['number[double]']
|
False
|
027_Supermarket
|
Are there any customers who made a purchase using cash?
|
True
|
boolean
|
['Payment']
|
['category']
|
True
|
027_Supermarket
|
Is the customer with the highest total purchase cost a 'Member'?
|
True
|
boolean
|
['Total', 'Customer type']
|
['number[double]', 'category']
|
False
|
027_Supermarket
|
Does any customer with a rating strictly above 9 use 'Ewallet' as their payment method?
|
True
|
boolean
|
['Rating', 'Payment']
|
['number[double]', 'category']
|
False
|
027_Supermarket
|
How many unique branches are there in the dataset?
|
3
|
number
|
['Branch']
|
['category']
|
3
|
027_Supermarket
|
What is the maximum quantity of products bought in a single purchase?
|
10
|
number
|
['Quantity']
|
['number[uint8]']
|
10
|
027_Supermarket
|
What is the minimum total cost of a purchase in the dataset?
|
10.6785
|
number
|
['Total']
|
['number[double]']
|
45.927
|
027_Supermarket
|
How many purchases were made in Yangon city?
|
340
|
number
|
['City']
|
['category']
|
11
|
027_Supermarket
|
What is the payment method used for the purchase with the highest total cost?
|
Credit card
|
category
|
['Total', 'Payment']
|
['number[double]', 'category']
|
Credit card
|
027_Supermarket
|
What is the product line of the purchase with the highest total cost?
|
Fashion accessories
|
category
|
['Total', 'Product line']
|
['number[double]', 'category']
|
Electronic accessories
|
027_Supermarket
|
What is the customer type of the purchase with the lowest total cost?
|
Member
|
category
|
['Total', 'Customer type']
|
['number[double]', 'category']
|
Normal
|
027_Supermarket
|
What is the gender of the customer with the highest total purchase cost?
|
Female
|
category
|
['Total', 'Gender']
|
['number[double]', 'category']
|
Male
|
027_Supermarket
|
List the payment methods of the top 3 purchases with the highest total cost.
|
['Credit card', 'Credit card', 'Ewallet']
|
list[category]
|
['Total', 'Payment']
|
['number[double]', 'category']
|
['Credit card', 'Cash', 'Ewallet']
|
027_Supermarket
|
Enumerate the product lines of the bottom 2 purchases with the lowest total cost.
|
['Sports and travel', 'Fashion accessories']
|
list[category]
|
['Total', 'Product line']
|
['number[double]', 'category']
|
['Sports and travel', 'Sports and travel']
|
027_Supermarket
|
Which are the customer types of the top 5 purchases with the highest total cost?
|
['Member', 'Normal', 'Member', 'Normal', 'Normal']
|
list[category]
|
['Total', 'Customer type']
|
['number[double]', 'category']
|
['Normal', 'Normal', 'Normal', 'Normal', 'Normal']
|
027_Supermarket
|
List the genders of the bottom 4 purchases with the lowest total cost.
|
['Male', 'Female', 'Female', 'Male']
|
list[category]
|
['Total', 'Gender']
|
['number[double]', 'category']
|
['Male', 'Male', 'Female', 'Female']
|
027_Supermarket
|
What are the quantities of products bought in the top 4 purchases with the highest total cost?
|
[10, 10, 10, 10]
|
list[number]
|
['Total', 'Quantity']
|
['number[double]', 'number[uint8]']
|
[10, 7, 10, 10]
|
027_Supermarket
|
List the unit prices of the bottom 3 purchases with the lowest total cost.
|
[10.17, 12.09, 12.54]
|
list[number]
|
['Total', 'Unit price']
|
['number[double]', 'number[double]']
|
[21.87, 60.87, 42.97]
|
027_Supermarket
|
Enumerate the ratings of the top 5 purchases with the highest total cost.
|
[6.6, 8.7, 4.5, 8.0, 4.4]
|
list[number]
|
['Total', 'Rating']
|
['number[double]', 'number[double]']
|
[4.2, 7.6, 8.1, 9.0, 6.4]
|
027_Supermarket
|
Provide the gross incomes of the bottom 2 purchases with the lowest total cost.
|
[0.5085, 0.6045]
|
list[number]
|
['Total', 'gross income']
|
['number[double]', 'number[double]']
|
[2.187, 6.087]
|
027_Supermarket
|
Are there any individuals in the dataset who are above 60 years of age?
|
False
|
boolean
|
['Age']
|
['number[uint8]']
|
True
|
028_Predict
|
Does anyone have a Diabetes Pedigree Function score above 2.5?
|
True
|
boolean
|
['DiabetesPedigreeFunction']
|
['number[double]']
|
False
|
028_Predict
|
Does the person with the highest glucose level also have diabetes?
|
True
|
boolean
|
['Glucose', 'Outcome']
|
['number[uint8]', 'number[uint8]']
|
True
|
028_Predict
|
Is there anyone who has zero pregnancies and is diabetic?
|
True
|
boolean
|
['Pregnancies', 'Outcome']
|
['number[uint8]', 'number[uint8]']
|
True
|
028_Predict
|
What is the maximum number of pregnancies recorded in the dataset?
|
17
|
number
|
['Pregnancies']
|
['number[uint8]']
|
10
|
028_Predict
|
What is the minimum blood pressure level recorded in the dataset?
|
0
|
number
|
['BloodPressure']
|
['number[uint8]']
|
0
|
028_Predict
|
What is the average BMI recorded in the dataset?
|
31.992578124999998
|
number
|
['BMI']
|
['number[double]']
|
31.910000000000004
|
028_Predict
|
How many individuals have an insulin level above 150?
|
187
|
number
|
['Insulin']
|
['number[uint16]']
|
4
|
028_Predict
|
What is the diabetes outcome for the person with the highest BMI?
|
1
|
category
|
['BMI', 'Outcome']
|
['number[double]', 'number[uint8]']
|
1
|
028_Predict
|
What is the diabetes outcome for the person with the lowest blood pressure?
|
0
|
category
|
['BloodPressure', 'Outcome']
|
['number[uint8]', 'number[uint8]']
|
0
|
028_Predict
|
What is the diabetes outcome for the person with the highest insulin level?
|
1
|
category
|
['Insulin', 'Outcome']
|
['number[uint16]', 'number[uint8]']
|
1
|
028_Predict
|
What is the diabetes outcome for the person with the lowest glucose level?
|
0
|
category
|
['Glucose', 'Outcome']
|
['number[uint8]', 'number[uint8]']
|
0
|
028_Predict
|
List the diabetes outcomes of the top 3 individuals with the highest number of pregnancies.
|
[1, 1, 1]
|
list[category]
|
['Pregnancies', 'Outcome']
|
['number[uint8]', 'number[uint8]']
|
[1, 0, 0]
|
028_Predict
|
List the diabetes outcomes of the bottom 2 individuals with the lowest BMI.
|
[0, 0]
|
list[category]
|
['BMI', 'Outcome']
|
['number[double]', 'number[uint8]']
|
[0, 0]
|
028_Predict
|
List the diabetes outcomes of the top 5 individuals with the highest insulin levels.
|
[1, 1, 1, 1, 1]
|
list[category]
|
['Insulin', 'Outcome']
|
['number[uint16]', 'number[uint8]']
|
[1, 0, 0, 1, 1]
|
028_Predict
|
List the diabetes outcomes of the bottom 4 individuals with the lowest blood pressure.
|
[0, 0, 0, 0]
|
list[category]
|
['BloodPressure', 'Outcome']
|
['number[uint8]', 'number[uint8]']
|
[0, 1, 0, 1]
|
028_Predict
|
What are the ages of the top 4 individuals with the highest number of pregnancies?
|
[51, 67, 67, 67]
|
list[number]
|
['Pregnancies', 'Age']
|
['number[uint8]', 'number[uint8]']
|
[40, 34, 50, 60]
|
028_Predict
|
List the BMI of the bottom 3 individuals with the lowest glucose levels.
|
[32.0, 32.0, 32.0]
|
list[number]
|
['Glucose', 'BMI']
|
['number[uint8]', 'number[double]']
|
[20.4, 37.2, 30.2]
|
028_Predict
|
Enumerate the blood pressure levels of the top 5 individuals with the highest Diabetes Pedigree Function scores.
|
[0, 0, 0, 0, 0]
|
list[number]
|
['DiabetesPedigreeFunction', 'BloodPressure']
|
['number[double]', 'number[uint8]']
|
[74, 50, 0, 80, 58]
|
028_Predict
|
Provide the glucose levels of the 2 individuals with the highest insulin levels.
|
[189, 197]
|
list[number]
|
['Insulin', 'Glucose']
|
['number[uint16]', 'number[uint8]']
|
[318, 190]
|
028_Predict
|
Are there any articles that have the material type 'Op-Ed'?
|
True
|
boolean
|
['material_type']
|
['category']
|
False
|
029_NYTimes
|
Does the article with the longest headline contain the keyword 'United States Politics and Government'?
|
False
|
boolean
|
['headline', 'keywords']
|
['text', 'list[category]']
|
False
|
029_NYTimes
|
Is there any article published on '2021-01-05'?
|
True
|
boolean
|
['date']
|
['date[ns, UTC]']
|
False
|
029_NYTimes
|
Does any article contain more than 10 keywords?
|
True
|
boolean
|
['keywords']
|
['list[category]']
|
False
|
029_NYTimes
|
How many unique material types are there in the dataset?
|
16
|
number
|
['material_type']
|
['category']
|
3
|
029_NYTimes
|
What is the longest length of a headline in the dataset?
|
147
|
number
|
['headline']
|
['text']
|
110
|
029_NYTimes
|
How many articles were published on '2021-01-02'?
|
52
|
number
|
['date']
|
['date[ns, UTC]']
|
0
|
029_NYTimes
|
What is the highest number of keywords associated with a single article?
|
45
|
number
|
['keywords']
|
['list[category]']
|
8
|
029_NYTimes
|
What is the material type of the article with the longest headline?
|
News
|
category
|
['headline', 'material_type']
|
['text', 'category']
|
News
|
029_NYTimes
|
What is the material type of the article with the shortest headline that is not news or video?
|
Slideshow
|
category
|
['headline', 'material_type']
|
['text', 'category']
|
Editorial
|
029_NYTimes
|
What is the material type of the non-editorial article with the most number of keywords?
|
News
|
category
|
['keywords', 'material_type']
|
['list[category]', 'category']
|
News
|
029_NYTimes
|
What is the most common material amongst articles with the least number of keywords?
|
News
|
category
|
['keywords', 'material_type']
|
['list[category]', 'category']
|
News
|
029_NYTimes
|
List the material types of the top 3 articles with the longest headlines.
|
['News', 'News', 'News']
|
list[category]
|
['headline', 'material_type']
|
['text', 'category']
|
['News', 'Interactive Feature', 'News']
|
029_NYTimes
|
List the material types of the bottom 2 articles with the shortest headlines that are not videos or slides.
|
['News', 'News']
|
list[category]
|
['headline', 'material_type']
|
['text', 'category']
|
['Editorial', 'News']
|
029_NYTimes
|
List the material types of the top 5 articles with the most number of keywords.
|
['News', 'News', 'News', 'News', 'News']
|
list[category]
|
['keywords', 'material_type']
|
['list[category]', 'category']
|
['News', 'Editorial', 'News', 'Review', 'News']
|
029_NYTimes
|
List the material types of the bottom 4 articles with the least number of keywords.
|
['News', 'News', 'News', 'News']
|
list[category]
|
['keywords', 'material_type']
|
['list[category]', 'category']
|
['News', 'Interactive Feature', 'News', 'News']
|
029_NYTimes
|
What are the lengths of the headlines of the top 4 articles with the most number of keywords?
|
[86, 85, 84, 84]
|
list[number]
|
['keywords', 'headline']
|
['list[category]', 'text']
|
[73, 20, 69, 62]
|
029_NYTimes
|
List the number of keywords in the bottom 3 articles with the shortest headlines.
|
[1, 1, 1]
|
list[number]
|
['headline', 'keywords']
|
['text', 'list[category]']
|
[8, 1, 2]
|
029_NYTimes
|
Enumerate the lengths of the headlines of the top 5 articles with the longest headlines.
|
[96, 96, 95, 95, 95]
|
list[number]
|
['headline']
|
['text']
|
[110, 94, 92, 73, 73]
|
029_NYTimes
|
Provide the number of keywords in the bottom 2 articles with the least number of keywords.
|
[1, 1]
|
list[number]
|
['keywords']
|
['list[category]']
|
[1, 2]
|
029_NYTimes
|
Is the 'USA' the most common entry in the 'Geographies' column?
|
False
|
boolean
|
['Geographies']
|
['list[category]']
|
True
|
030_Professionals
|
Are there any participants who are unemployed with a bachelor's degree from Africa?
|
False
|
boolean
|
['Labeled Clusters', 'Geographies']
|
['category', 'list[category]']
|
False
|
030_Professionals
|
Do all participants recommend Python as the first programming language?
|
False
|
boolean
|
['What programming language would you recommend an aspiring data scientist to learn first?']
|
['category']
|
False
|
030_Professionals
|
Are there more than 1000 participants who hope to become familiar with AWS in the next 2 years?
|
False
|
boolean
|
['Which of the following cloud computing platforms do you hope to become more familiar with in the next 2 years?']
|
['list[category]']
|
False
|
030_Professionals
|
How many unique job titles are represented in the dataset?
|
14
|
number
|
['Select the title most similar to your current role (or most recent title if retired)']
|
['category']
|
7
|
030_Professionals
|
What's the median of the average number of years participants have used machine learning methods?
|
1.5
|
number
|
['(Average) For how many years have you used machine learning methods?']
|
['number[double]']
|
0.5
|
030_Professionals
|
How many participants are from the United Kingdom?
|
450
|
number
|
['In which country do you currently reside?']
|
['category']
|
1
|
030_Professionals
|
What is the most common number of programming languages used by participants on a regular basis?
|
2
|
number
|
['What programming languages do you use on a regular basis?']
|
['list[category]']
|
3.0
|
030_Professionals
|
What's the most common computing platform used for data science projects?
|
A laptop
|
category
|
['What type of computing platform do you use most often for your data science projects?']
|
['category']
|
A laptop
|
030_Professionals
|
What's the most common programming language used on a regular basis?
|
Python
|
category
|
['What programming languages do you use on a regular basis?']
|
['list[category]']
|
Python
|
030_Professionals
|
Which country has the second highest number of participants?
|
United States of America
|
category
|
['In which country do you currently reside?']
|
['category']
|
India
|
030_Professionals
|
Which title is the most common among participants?
|
Data Scientist
|
category
|
['Select the title most similar to your current role (or most recent title if retired)']
|
['category']
|
Data Scientist
|
030_Professionals
|
What are the top 4 geographies represented in the dataset?
|
['India', 'USA', 'Western Europe', 'China - Japan - Korea']
|
list[category]
|
['Geographies']
|
['list[category]']
|
['USA', 'India', 'Other', 'Russia']
|
030_Professionals
|
Name the top 3 general segments of participants.
|
['Analysts', 'Data Scientists', 'Academics']
|
list[category]
|
['General Segments']
|
['list[category]']
|
['Academics', 'Data Scientists', 'Analysts']
|
030_Professionals
|
list the top 4 most common job titles.
|
['Data Scientist', 'Software Engineer', 'Other', 'Data Analyst']
|
list[category]
|
['Select the title most similar to your current role (or most recent title if retired)']
|
['category']
|
['Currently not employed', 'Data Scientist', 'Other', 'Data Analyst']
|
030_Professionals
|
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