question
stringlengths 19
187
| answer
stringlengths 1
333
⌀ | type
stringclasses 5
values | columns_used
stringlengths 2
161
⌀ | column_types
stringclasses 132
values | sample_answer
stringlengths 1
228
⌀ | dataset
stringclasses 80
values |
|---|---|---|---|---|---|---|
What are the 3 fiscal years that had the most procurements?
|
[2021, 2022, 2023]
|
list[number]
|
[]
|
[]
|
[2024, 2025, 2023]
|
068_WorldBank_Awards
|
For each of the first three fiscal years present in this dataset list the total amount of dollars awarded.
|
[15925264883.9, 13321977331.02, 13505690141.88]
|
list[number]
|
[]
|
[]
|
[13222.93, 2685156.49, 591432.79]
|
068_WorldBank_Awards
|
List the amounts awarded to the 2 contracts that are strictly over 100k dollars but closest to 100,000USD.
|
[100000.05, 100005.34]
|
list[number]
|
[]
|
[]
|
[157840.9, 166464.39, 173560.0]
|
068_WorldBank_Awards
|
How much were the 4 largest contracts in central and west africa awarded for? Answer with a list with one amount per contract
|
[321127567.87, 306306411.37, 253905847.27, 180832613.5]
|
list[number]
|
[]
|
[]
|
[716716.34, 369866.76, 198952.48, 189088.46]
|
068_WorldBank_Awards
|
List the 5 countries which most frequently borrow money through a procurement.
|
['India', 'Western and Central Africa', 'Ethiopia', 'Madagascar', 'Bolivia']
|
list[category]
|
[]
|
[]
|
['Burkina Faso', 'Nigeria', 'Niger', 'Ethiopia', 'Somalia']
|
068_WorldBank_Awards
|
List the 4 regions the countries most frequently belong to.
|
['SOUTH ASIA', 'Western and Central Africa', 'Eastern and Southern Africa', 'LATIN AMERICA AND CARIBBEAN']
|
list[category]
|
[]
|
[]
|
['EAST ASIA AND PACIFIC', 'Eastern and Southern Africa', 'LATIN AMERICA AND CARIBBEAN', 'Western and Central Africa']
|
068_WorldBank_Awards
|
List the 4 most frequent methods of procurement.
|
['Request for Bids', 'Individual Consultant Selection', 'Request for Quotations', 'Direct Selection']
|
list[category]
|
[]
|
[]
|
['Request for Bids', 'Individual Consultant Selection', 'Request for Quotations', 'Consultant Qualification Selection']
|
068_WorldBank_Awards
|
What are the first 4 (row-wise) distinct 'Supplier Countries' we can find in the dataset?
|
['Ghana', 'World', 'Burkina Faso', 'Nigeria']
|
list[category]
|
[]
|
[]
|
['Ghana', 'World', 'Burkina Faso', 'Nigeria']
|
068_WorldBank_Awards
|
List the unique review methods for contracts awarded above five hundred thousand dollars
|
['Post', 'Prior']
|
list[category]
|
[]
|
[]
|
['Post', 'Prior']
|
068_WorldBank_Awards
|
List the unique review methods for contracts awarded more than 500000USD
|
['Post', 'Prior']
|
list[category]
|
[]
|
[]
|
['Post', 'Prior']
|
068_WorldBank_Awards
|
Is there a first tier category with a name related to attractions?
|
True
|
boolean
|
[]
|
[]
|
True
|
069_Taxonomy
|
Are there more than five first tier categories?
|
True
|
boolean
|
[]
|
[]
|
False
|
069_Taxonomy
|
Is any entry in the third tier a (direct or otherwise) descendant of 150?
|
False
|
boolean
|
[]
|
[]
|
True
|
069_Taxonomy
|
Are all rows named?
|
True
|
boolean
|
[]
|
[]
|
True
|
069_Taxonomy
|
Are there any fourth level entities in the taxonomy?
|
True
|
boolean
|
[]
|
[]
|
False
|
069_Taxonomy
|
Are there more entities with a valid parent ID than third tier entities?
|
True
|
boolean
|
[]
|
[]
|
True
|
069_Taxonomy
|
Does the dataset contain exactly 703 entries?
|
True
|
boolean
|
[]
|
[]
|
False
|
069_Taxonomy
|
Do all entities have a valid unique value associated?
|
False
|
boolean
|
[]
|
[]
|
False
|
069_Taxonomy
|
Which first tier category name has the most descendants? (direct or otherwise)
|
Business and Finance
|
category
|
[]
|
[]
|
Attractions
|
069_Taxonomy
|
What is most common category name among the first level categories?
|
Business and Finance
|
category
|
[]
|
[]
|
Attractions
|
069_Taxonomy
|
Which first tier category has the second largest amount of descendants (direct or otherwise)?
|
Sports
|
category
|
[]
|
[]
|
Automotive
|
069_Taxonomy
|
What is the second most popular category name among the first level categories?
|
Sports
|
category
|
[]
|
[]
|
Automotive
|
069_Taxonomy
|
What is the most common unique parent ID found in the dataset?
|
483
|
category
|
[]
|
[]
|
150
|
069_Taxonomy
|
What is the non-null third level value in the dataset that appears first?
|
Commercial Trucks
|
category
|
[]
|
[]
|
Commercial Trucks
|
069_Taxonomy
|
What is the name of the direct ascendant of the bars and restaurants entity?
|
Attractions
|
category
|
[]
|
[]
|
Attractions
|
069_Taxonomy
|
How many elements are there in our taxonomy?
|
703
|
number
|
[]
|
[]
|
20
|
069_Taxonomy
|
How many elements in the taxonomy do not have a parent id associated?
|
34
|
number
|
[]
|
[]
|
1
|
069_Taxonomy
|
What is the total number of unique non-null Parent values?
|
85
|
number
|
[]
|
[]
|
3
|
069_Taxonomy
|
How many entries belong to the third or fourth tiers?
|
316
|
number
|
[]
|
[]
|
6
|
069_Taxonomy
|
How many unique entries exist in the first level of our taxonomy?
|
40
|
number
|
[]
|
[]
|
2
|
069_Taxonomy
|
How many rows contain null values in Tier 2?
|
40
|
number
|
[]
|
[]
|
2
|
069_Taxonomy
|
How many Parent IDs appear exactly once?
|
8
|
number
|
[]
|
[]
|
1
|
069_Taxonomy
|
Are all names unique?
|
True
|
boolean
|
[]
|
[]
|
True
|
069_Taxonomy
|
What is the number of unique names?
|
703
|
number
|
[]
|
[]
|
20
|
069_Taxonomy
|
List the 3 Parent values associated the 3 highest number of descendants (direct or otherwise).
|
['483', '90', 'SPSHQ5']
|
list[category]
|
[]
|
[]
|
['150']
|
069_Taxonomy
|
List the entry counts for the attractions and automotive entities.
|
[12, 41]
|
list[number]
|
[]
|
[]
|
[15, 5]
|
069_Taxonomy
|
List the number of children for the categories of commercial trucks and convertibles. Answer with a two element list.
|
[0, 0]
|
list[number]
|
[]
|
[]
|
[0, 0]
|
069_Taxonomy
|
List counts of non-null values for each Tier column.
|
[703, 663, 316, 60]
|
list[number]
|
[]
|
[]
|
[20, 18, 6, 0]
|
069_Taxonomy
|
List the first (by number of appearance) 3 different values in the highest tier of the dataset. If there are less than 3 list as many as there are.
|
['Attractions', 'Automotive', 'Books and Literature']
|
list[category]
|
[]
|
[]
|
['Attractions', 'Automotive']
|
069_Taxonomy
|
List the first (by row number) 2 different level 1 values found in the dataset. If there are less than 2 list as many as there are.
|
['Attractions', 'Automotive']
|
list[category]
|
[]
|
[]
|
['Attractions', 'Automotive']
|
069_Taxonomy
|
List the first (by number of appearance) 4 different second highest level values.
|
['Amusement and Theme Parks', 'Bars & Restaurants', 'Casinos', 'Parks']
|
list[category]
|
[]
|
[]
|
['Amusement and Theme Parks', 'Bars & Restaurants', 'Casinos', 'Parks']
|
069_Taxonomy
|
List all (unique) highest tier values present in the first 4 rows.
|
['Attractions']
|
list[category]
|
[]
|
[]
|
['Attractions']
|
069_Taxonomy
|
List the 4 first tier values present in the first 4 rows.
|
['Attractions', 'Attractions', 'Attractions', 'Attractions']
|
list[category]
|
[]
|
[]
|
['Attractions', 'Attractions', 'Attractions', 'Attractions']
|
069_Taxonomy
|
List the first 4 different non-null parent values found in the dataset. If there are less than 4 list as many as there are.
|
['150', '1', '2', '37']
|
list[category]
|
[]
|
[]
|
['150', '1', '2']
|
069_Taxonomy
|
List the first 3 different non-null parent values found in the dataset. If there are less than 3 list as many as there are.
|
['150', '1', '2']
|
list[category]
|
[]
|
[]
|
['150', '1', '2']
|
069_Taxonomy
|
Is there any vegan product in our dataset?
|
True
|
boolean
|
[]
|
[]
|
True
|
070_OpenFoodFacts
|
Did Eduardo create upload any products to the database?
|
True
|
boolean
|
[]
|
[]
|
True
|
070_OpenFoodFacts
|
Is the product with code 00001522 apt for vegans?
|
True
|
boolean
|
[]
|
[]
|
True
|
070_OpenFoodFacts
|
Is any product palm oil free?
|
True
|
boolean
|
[]
|
[]
|
True
|
070_OpenFoodFacts
|
Are there any products belonging to the category 'Plant-based foods and beverages'?
|
True
|
boolean
|
[]
|
[]
|
True
|
070_OpenFoodFacts
|
Are all products created by the openfoodfacts contributors labeled as vegan?
|
False
|
boolean
|
[]
|
[]
|
False
|
070_OpenFoodFacts
|
Are more than a 1000 products sold in Mercadona stores?
|
True
|
boolean
|
[]
|
[]
|
False
|
070_OpenFoodFacts
|
Are there products from the 'Hacendado' brand in more than one country?
|
True
|
boolean
|
[]
|
[]
|
True
|
070_OpenFoodFacts
|
What is the most frequent brand name? Answer with a single category.
|
Hacendado
|
category
|
[]
|
[]
|
Hacendado
|
070_OpenFoodFacts
|
Which country has the most products listed? Answer with a single category.
|
Spain
|
category
|
[]
|
[]
|
Spain
|
070_OpenFoodFacts
|
What is the single label associated with the most products? Answer with a single category.
|
No gluten
|
category
|
[]
|
[]
|
Green Dot
|
070_OpenFoodFacts
|
How many products are labeled as 'Vegan'?
|
263
|
number
|
[]
|
[]
|
1
|
070_OpenFoodFacts
|
Which store has the most products listed?
|
Hacendado
|
category
|
[]
|
[]
|
Hacendado
|
070_OpenFoodFacts
|
Which creator has contributed the most to the database?
|
kiliweb
|
category
|
[]
|
[]
|
elcoco
|
070_OpenFoodFacts
|
How many products belong to the 'Hacendado' brand?
|
8329
|
number
|
[]
|
[]
|
17
|
070_OpenFoodFacts
|
How many unique countries exist in the dataset?
|
29
|
number
|
[]
|
[]
|
3
|
070_OpenFoodFacts
|
How many products have no labels?
|
5423
|
number
|
[]
|
[]
|
14
|
070_OpenFoodFacts
|
How many products are associated with the 'Mercadona' type of store?
|
3420
|
number
|
[]
|
[]
|
17
|
070_OpenFoodFacts
|
What is the total number of products in the dataset that have a non-empty product name?
|
9102
|
number
|
[]
|
[]
|
17
|
070_OpenFoodFacts
|
What is the total number of products in the dataset that have a unique product code?
|
9483
|
number
|
[]
|
[]
|
20
|
070_OpenFoodFacts
|
How many products are listed under 'Plant-based foods and beverages'?
|
1913
|
number
|
[]
|
[]
|
2
|
070_OpenFoodFacts
|
List the product codes associated with the Seitan category
|
[00001522, 8480000041968, 8480000041975, 8480000046444, 8480000230058, 8480000865274, 8480000707000]
|
list[number]
|
[]
|
[]
|
[00001522]
|
070_OpenFoodFacts
|
List the product names associated with the Seitan category
|
['Seitán a la plancha' ,'Seitán a la piastra' ,'Hamburguesa de seitán' ,'Seitán a la plancha' ,'Seitán' ,'Seitan' ,'Seitán a la plancha']
|
list[category]
|
[]
|
[]
|
"['Seitán a la plancha']"
|
070_OpenFoodFacts
|
List the two most frequent labels in the dataset
|
['No gluten', 'Green Dot']
|
list[category]
|
[]
|
[]
|
['Green Dot', 'No gluten']
|
070_OpenFoodFacts
|
"List the five most frequent labels in the dataset. If there are less than five list as many as there are."
|
['No gluten', 'Green Dot', 'No lactose', 'Vegetarian', 'Vegan']
|
list[category]
|
[]
|
[]
|
['Green Dot', 'No gluten']
|
070_OpenFoodFacts
|
List the two most frequent store names in the dataset
|
['Hacendado', 'Mercadona']
|
list[category]
|
[]
|
[]
|
['Mercadona', 'Hacendado']
|
070_OpenFoodFacts
|
List the two number of stores for the two most frequent store names in the dataset
|
[4148, 3420]
|
list[number]
|
[]
|
[]
|
[7, 5]
|
070_OpenFoodFacts
|
List the 3 most frequent countries in the dataset
|
['Spain', 'Portugal', 'France']
|
list[category]
|
[]
|
[]
|
['Spain', 'United Kingdom', 'United States']
|
070_OpenFoodFacts
|
List the 3 number of products present for the 3 most frequent countries in the dataset
|
[9147, 186, 141]
|
list[number]
|
[]
|
[]
|
[18, 1, 1]
|
070_OpenFoodFacts
|
Is Switzerland the country with the highest Cost of Living Index?
|
True
|
boolean
|
[]
|
[]
|
True
|
071_COL
|
Is the Bahamas ranked second in the dataset?
|
True
|
boolean
|
[]
|
[]
|
True
|
071_COL
|
Is there any country with a Rent Index above 65?
|
True
|
boolean
|
[]
|
[]
|
True
|
071_COL
|
Does Iceland have more purchasing power than a country that has a 100 in that index?
|
True
|
boolean
|
[]
|
[]
|
True
|
071_COL
|
Is Barbados considered overall more expensive than the country ranked in the 10th place?
|
True
|
boolean
|
[]
|
[]
|
True
|
071_COL
|
Does the dataset include at least 120 countries?
|
True
|
boolean
|
[]
|
[]
|
False
|
071_COL
|
If I am from Iceland and I move to Singapore, would I expect my rent to be more expensive according to the index?
|
True
|
boolean
|
[]
|
[]
|
True
|
071_COL
|
Is Switzerland considered to be the most expensive country regardless if I rent or own my home?
|
True
|
boolean
|
[]
|
[]
|
True
|
071_COL
|
Which country ranks the most expensive in terms of overall cost of living?
|
Switzerland
|
category
|
[]
|
[]
|
Switzerland
|
071_COL
|
In which country would it be cheaper to buy groceries?
|
Pakistan
|
category
|
[]
|
[]
|
Pakistan
|
071_COL
|
If I have to rent but I want to move to the cheapest country to live in, where should I move to?
|
Pakistan
|
category
|
[]
|
[]
|
Puerto Rico
|
071_COL
|
In which country would it be most expensive to eat in a restaurant?
|
Switzerland
|
category
|
[]
|
[]
|
Switzerland
|
071_COL
|
Which country has the second-highest world rent?
|
Hong Kong (China)
|
category
|
[]
|
[]
|
Hong Kong (China)
|
071_COL
|
Which country is the second most expensive destination to move to considering I am not a home owner in the country?
|
Singapore
|
category
|
[]
|
[]
|
Singapore
|
071_COL
|
Which country has a Groceries Index closest to 80?
|
Barbados
|
category
|
[]
|
[]
|
Barbados
|
071_COL
|
What is the Cost of Living Index assigned to the most expensive country to live in?
|
101.1
|
number
|
[]
|
[]
|
101.1
|
071_COL
|
What is the Rent Index of the top-ranked country?
|
46.5
|
number
|
[]
|
[]
|
46.5
|
071_COL
|
What is the total number of countries in the dataset?
|
121.0
|
number
|
[]
|
[]
|
20.0
|
071_COL
|
What is the average Groceries Index across all countries?
|
44.22
|
number
|
[]
|
[]
|
73.21
|
071_COL
|
What is the difference between the highest and lowest Restaurant Price Index?
|
84.2
|
number
|
[]
|
[]
|
50.8
|
071_COL
|
If I'm moving to Singapore and I have to rent there, what would my associated index for cost of living be?
|
72.1
|
number
|
[]
|
[]
|
72.1
|
071_COL
|
What is the mean Local Purchasing Power Index of the top 10 countries by rank?
|
110.91
|
number
|
[]
|
[]
|
110.91
|
071_COL
|
What is Iceland's rank?
|
3.0
|
number
|
[]
|
[]
|
3.0
|
071_COL
|
List the Rent Index values of the top 5 overall most expensive countries excluding rent.
|
[46.5, 36.7, 39.2, 67.2, 19.0]
|
list[number]
|
[]
|
[]
|
[46.5, 36.7, 39.2, 67.2, 19.0]
|
071_COL
|
List the Cost of Living Index values of the 5 countries that are ranked the cheapest.
|
[18.8, 20.4, 21.0, 21.2, 22.5]
|
list[number]
|
[]
|
[]
|
[62.4, 62.7, 63.1, 63.2, 63.3]
|
071_COL
|
List the Local Purchasing Power Index values of countries ranked 1st to 5th.
|
[158.7, 54.6, 120.3, 111.1, 43.5]
|
list[number]
|
[]
|
[]
|
[158.7, 54.6, 120.3, 111.1, 43.5]
|
071_COL
|
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