id stringlengths 14 35 | db_id stringlengths 9 30 | source stringclasses 7
values | question stringlengths 27 141 | convention stringlengths 69 217 | gold_sql stringlengths 44 199 | schema_ddl stringlengths 225 10.9k | canonical_rows listlengths 1 9 |
|---|---|---|---|---|---|---|---|
vd_employees_1 | employees | MySQL employees sample DB | How many employees are currently assigned to each department? | Current assignment is indicated by to_date = '9999-01-01' (a sentinel far-future date). Naive IS NULL returns empty. | SELECT d.dept_name, COUNT(*) AS cnt FROM dept_emp de JOIN departments d ON de.dept_no=d.dept_no WHERE de.to_date='9999-01-01' GROUP BY d.dept_name ORDER BY cnt DESC | CREATE TABLE departments (dept_no VARCHAR, dept_name VARCHAR);
CREATE TABLE dept_emp (emp_no BIGINT, dept_no VARCHAR, from_date DATE, to_date DATE);
CREATE TABLE dept_manager (dept_no VARCHAR, emp_no BIGINT, from_date DATE, to_date DATE);
CREATE TABLE employees (emp_no BIGINT, birth_date DATE, first_name VARCHAR, last_... | [
[
"Development",
"61386"
],
[
"Production",
"53304"
],
[
"Sales",
"37701"
],
[
"Customer Service",
"17569"
],
[
"Research",
"15441"
],
[
"Marketing",
"14842"
],
[
"Quality Management",
"14546"
],
[
"Human Resources",
"12898"... |
vd_employees_2 | employees | MySQL employees sample DB | Who is the current manager of each department? | Current manager tenure is indicated by dept_manager.to_date = '9999-01-01'. Naive IS NULL returns empty. | SELECT d.dept_name, e.first_name, e.last_name FROM dept_manager dm JOIN departments d ON dm.dept_no=d.dept_no JOIN employees e ON dm.emp_no=e.emp_no WHERE dm.to_date='9999-01-01' ORDER BY d.dept_name | CREATE TABLE departments (dept_no VARCHAR, dept_name VARCHAR);
CREATE TABLE dept_emp (emp_no BIGINT, dept_no VARCHAR, from_date DATE, to_date DATE);
CREATE TABLE dept_manager (dept_no VARCHAR, emp_no BIGINT, from_date DATE, to_date DATE);
CREATE TABLE employees (emp_no BIGINT, birth_date DATE, first_name VARCHAR, last_... | [
[
"Customer Service",
"Yuchang",
"Weedman"
],
[
"Development",
"Leon",
"DasSarma"
],
[
"Finance",
"Isamu",
"Legleitner"
],
[
"Human Resources",
"Karsten",
"Sigstam"
],
[
"Marketing",
"Vishwani",
"Minakawa"
],
[
"Production",
"Os... |
vd_employees_3 | employees | MySQL employees sample DB | What is the current average salary for female employees? | Two conventions must be discovered: (1) current salary uses to_date = '9999-01-01' sentinel; (2) female gender is encoded as single-letter 'F', not 'Female'. | SELECT ROUND(AVG(s.salary), 2) AS avg_salary FROM salaries s JOIN employees e ON s.emp_no=e.emp_no WHERE s.to_date='9999-01-01' AND e.gender='F' | CREATE TABLE departments (dept_no VARCHAR, dept_name VARCHAR);
CREATE TABLE dept_emp (emp_no BIGINT, dept_no VARCHAR, from_date DATE, to_date DATE);
CREATE TABLE dept_manager (dept_no VARCHAR, emp_no BIGINT, from_date DATE, to_date DATE);
CREATE TABLE employees (emp_no BIGINT, birth_date DATE, first_name VARCHAR, last_... | [
[
"71963.57"
]
] |
vd_employees_4 | employees | MySQL employees sample DB | How many employees currently hold the title of Senior Engineer? | Two conventions: current title uses to_date = '9999-01-01'; exact title string is 'Senior Engineer' (title-case, two words). Naive IS NULL + lowercase returns 0. | SELECT COUNT(*) FROM titles WHERE to_date='9999-01-01' AND title='Senior Engineer' | CREATE TABLE departments (dept_no VARCHAR, dept_name VARCHAR);
CREATE TABLE dept_emp (emp_no BIGINT, dept_no VARCHAR, from_date DATE, to_date DATE);
CREATE TABLE dept_manager (dept_no VARCHAR, emp_no BIGINT, from_date DATE, to_date DATE);
CREATE TABLE employees (emp_no BIGINT, birth_date DATE, first_name VARCHAR, last_... | [
[
"85939"
]
] |
vd_tpch_sf001_1 | tpch_sf001 | TPC-H | What is the total quantity of line items that were returned? | Return status is encoded as single-letter code 'R' in l_returnflag. Naive 'returned' returns NULL. | SELECT SUM(l_quantity) FROM lineitem WHERE l_returnflag='R' | CREATE TABLE customer (c_custkey BIGINT, c_name VARCHAR, c_address VARCHAR, c_nationkey INTEGER, c_phone VARCHAR, c_acctbal DECIMAL(15,2), c_mktsegment VARCHAR, c_comment VARCHAR);
CREATE TABLE lineitem (l_orderkey BIGINT, l_partkey BIGINT, l_suppkey BIGINT, l_linenumber BIGINT, l_quantity DECIMAL(15,2), l_extendedpric... | [
[
"381449.00"
]
] |
vd_tpch_sf001_2 | tpch_sf001 | TPC-H | What is the total net revenue from customers in the automobile market segment? | Market segment is stored in uppercase: 'AUTOMOBILE'. Naive lowercase 'automobile' returns NULL. | SELECT SUM(l.l_extendedprice * (1 - l.l_discount)) AS revenue FROM lineitem l JOIN orders o ON l.l_orderkey=o.o_orderkey JOIN customer c ON o.o_custkey=c.c_custkey WHERE c.c_mktsegment='AUTOMOBILE' | CREATE TABLE customer (c_custkey BIGINT, c_name VARCHAR, c_address VARCHAR, c_nationkey INTEGER, c_phone VARCHAR, c_acctbal DECIMAL(15,2), c_mktsegment VARCHAR, c_comment VARCHAR);
CREATE TABLE lineitem (l_orderkey BIGINT, l_partkey BIGINT, l_suppkey BIGINT, l_linenumber BIGINT, l_quantity DECIMAL(15,2), l_extendedpric... | [
[
"406079266.3105"
]
] |
vd_tpch_sf001_3 | tpch_sf001 | TPC-H | How many orders are currently open (not yet fulfilled or pending)? | Open order status is a single-letter code 'O'. Naive 'open' returns 0. | SELECT COUNT(*) FROM orders WHERE o_orderstatus='O' | CREATE TABLE customer (c_custkey BIGINT, c_name VARCHAR, c_address VARCHAR, c_nationkey INTEGER, c_phone VARCHAR, c_acctbal DECIMAL(15,2), c_mktsegment VARCHAR, c_comment VARCHAR);
CREATE TABLE lineitem (l_orderkey BIGINT, l_partkey BIGINT, l_suppkey BIGINT, l_linenumber BIGINT, l_quantity DECIMAL(15,2), l_extendedpric... | [
[
"7333"
]
] |
vd_tpch_sf001_4 | tpch_sf001 | TPC-H | How many orders have urgent priority? | Priority is stored with a numeric rank prefix: '1-URGENT'. Naive 'URGENT' without prefix returns 0. | SELECT COUNT(*) FROM orders WHERE o_orderpriority='1-URGENT' | CREATE TABLE customer (c_custkey BIGINT, c_name VARCHAR, c_address VARCHAR, c_nationkey INTEGER, c_phone VARCHAR, c_acctbal DECIMAL(15,2), c_mktsegment VARCHAR, c_comment VARCHAR);
CREATE TABLE lineitem (l_orderkey BIGINT, l_partkey BIGINT, l_suppkey BIGINT, l_linenumber BIGINT, l_quantity DECIMAL(15,2), l_extendedpric... | [
[
"3020"
]
] |
vd_spider_customer_deliveries_1 | spider_customer_deliveries | Spider | How many actual orders were cancelled? | Cancellation is stored as 'Cancel' (title-case, no trailing 'd'). Naive 'cancelled' or 'CANCEL' returns 0. | SELECT COUNT(*) FROM Actual_Orders WHERE order_status_code='Cancel' | CREATE TABLE Actual_Orders (actual_order_id VARCHAR, order_status_code VARCHAR, regular_order_id VARCHAR, actual_order_date VARCHAR);
CREATE TABLE Actual_Order_Products (actual_order_id VARCHAR, product_id VARCHAR);
CREATE TABLE Addresses (address_id VARCHAR, address_details VARCHAR, city VARCHAR, zip_postcode VARCHAR,... | [
[
"10"
]
] |
vd_spider_customer_deliveries_2 | spider_customer_deliveries | Spider | How many deliveries are currently in transit (on the road)? | In-transit status is stored as 'On Road' (two words, title-case). Naive lowercase 'on road' returns 0. | SELECT COUNT(*) FROM Order_Deliveries WHERE delivery_status_code='On Road' | CREATE TABLE Actual_Orders (actual_order_id VARCHAR, order_status_code VARCHAR, regular_order_id VARCHAR, actual_order_date VARCHAR);
CREATE TABLE Actual_Order_Products (actual_order_id VARCHAR, product_id VARCHAR);
CREATE TABLE Addresses (address_id VARCHAR, address_details VARCHAR, city VARCHAR, zip_postcode VARCHAR,... | [
[
"4"
]
] |
vd_spider_dog_kennels_1 | spider_dog_kennels | Spider | How many dogs of each breed have been abandoned at the kennel? | Abandoned status is stored as '1' (integer flag), not 'yes' or 'true' | SELECT b.breed_name, COUNT(*) as cnt FROM Dogs d JOIN Breeds b ON d.breed_code = b.breed_code WHERE d.abandoned_yn = '1' GROUP BY b.breed_name | CREATE TABLE Breeds (breed_code VARCHAR, breed_name VARCHAR);
CREATE TABLE Charges (charge_id VARCHAR, charge_type VARCHAR, charge_amount VARCHAR);
CREATE TABLE Dogs (dog_id VARCHAR, owner_id VARCHAR, abandoned_yn VARCHAR, breed_code VARCHAR, size_code VARCHAR, name VARCHAR, age VARCHAR, date_of_birth VARCHAR, gender V... | [
[
"Eskimo",
"2"
],
[
"Bulldog",
"1"
]
] |
vd_spider_dog_kennels_2 | spider_dog_kennels | Spider | How many male dogs are currently in the kennel? | Male gender is encoded as '1'; female is '0'. The column stores binary integers, not strings like 'male'/'female'. | SELECT COUNT(*) FROM Dogs WHERE gender = '1' | CREATE TABLE Breeds (breed_code VARCHAR, breed_name VARCHAR);
CREATE TABLE Charges (charge_id VARCHAR, charge_type VARCHAR, charge_amount VARCHAR);
CREATE TABLE Dogs (dog_id VARCHAR, owner_id VARCHAR, abandoned_yn VARCHAR, breed_code VARCHAR, size_code VARCHAR, name VARCHAR, age VARCHAR, date_of_birth VARCHAR, gender V... | [
[
"6"
]
] |
vd_spider_dog_kennels_3 | spider_dog_kennels | Spider | What is the charge amount for daily accommodation? | The charge type is stored as 'Daily Accommodation' (title-cased, exact spacing), not 'accommodation' or 'daily_accommodation'. | SELECT charge_amount FROM Charges WHERE charge_type = 'Daily Accommodation' | CREATE TABLE Breeds (breed_code VARCHAR, breed_name VARCHAR);
CREATE TABLE Charges (charge_id VARCHAR, charge_type VARCHAR, charge_amount VARCHAR);
CREATE TABLE Dogs (dog_id VARCHAR, owner_id VARCHAR, abandoned_yn VARCHAR, breed_code VARCHAR, size_code VARCHAR, name VARCHAR, age VARCHAR, date_of_birth VARCHAR, gender V... | [
[
"98"
]
] |
vd_spider_dog_kennels_4 | spider_dog_kennels | Spider | How many distinct dogs have received a vaccination treatment? | Vaccination is stored as the three-letter code 'VAC', not the full word 'Vaccination'. | SELECT COUNT(DISTINCT dog_id) FROM Treatments WHERE treatment_type_code = 'VAC' | CREATE TABLE Breeds (breed_code VARCHAR, breed_name VARCHAR);
CREATE TABLE Charges (charge_id VARCHAR, charge_type VARCHAR, charge_amount VARCHAR);
CREATE TABLE Dogs (dog_id VARCHAR, owner_id VARCHAR, abandoned_yn VARCHAR, breed_code VARCHAR, size_code VARCHAR, name VARCHAR, age VARCHAR, date_of_birth VARCHAR, gender V... | [
[
"5"
]
] |
vd_spider_dog_kennels_5 | spider_dog_kennels | Spider | How many large dogs are registered at the kennel? | Large size is stored as the three-letter code 'LGE', not 'Large' or 'large'. | SELECT COUNT(*) FROM Dogs WHERE size_code = 'LGE' | CREATE TABLE Breeds (breed_code VARCHAR, breed_name VARCHAR);
CREATE TABLE Charges (charge_id VARCHAR, charge_type VARCHAR, charge_amount VARCHAR);
CREATE TABLE Dogs (dog_id VARCHAR, owner_id VARCHAR, abandoned_yn VARCHAR, breed_code VARCHAR, size_code VARCHAR, name VARCHAR, age VARCHAR, date_of_birth VARCHAR, gender V... | [
[
"4"
]
] |
vd_spider_document_management_1 | spider_document_management | Spider | How many documents are of type curriculum vitae? | Curriculum vitae documents are stored with document_type_code = 'CV' (all-caps abbreviation), not 'curriculum vitae' or 'resume'. | SELECT COUNT(*) FROM Documents WHERE document_type_code = 'CV' | CREATE TABLE Documents (document_code VARCHAR, document_structure_code VARCHAR, document_type_code VARCHAR, access_count VARCHAR, document_name VARCHAR);
CREATE TABLE Document_Functional_Areas (document_code VARCHAR, functional_area_code VARCHAR);
CREATE TABLE Document_Sections (section_id VARCHAR, document_code VARCHA... | [
[
"3"
]
] |
vd_spider_document_management_2 | spider_document_management | Spider | How many users have the Project Manager role? | Project Manager role is stored as the hyphenated code 'PROJ-MGR', not 'Project Manager' (the full description). | SELECT COUNT(*) FROM Users WHERE role_code = 'PROJ-MGR' | CREATE TABLE Documents (document_code VARCHAR, document_structure_code VARCHAR, document_type_code VARCHAR, access_count VARCHAR, document_name VARCHAR);
CREATE TABLE Document_Functional_Areas (document_code VARCHAR, functional_area_code VARCHAR);
CREATE TABLE Document_Sections (section_id VARCHAR, document_code VARCHA... | [
[
"7"
]
] |
vd_spider_document_management_3 | spider_document_management | Spider | How many users are currently logged in? | Active login is stored as '1' (string boolean flag), not 'true', 'yes', or 'active'. | SELECT COUNT(*) FROM Users WHERE user_login = '1' | CREATE TABLE Documents (document_code VARCHAR, document_structure_code VARCHAR, document_type_code VARCHAR, access_count VARCHAR, document_name VARCHAR);
CREATE TABLE Document_Functional_Areas (document_code VARCHAR, functional_area_code VARCHAR);
CREATE TABLE Document_Sections (section_id VARCHAR, document_code VARCHA... | [
[
"7"
]
] |
vd_spider_formula_1_1 | spider_formula_1 | Spider | How many race results ended with a retirement? | Retired finishes are stored as positionText = 'R' (single capital letter), not 'Retired' or 'DNF'. | SELECT COUNT(*) FROM results WHERE positionText = 'R' | CREATE TABLE circuits (circuitId VARCHAR, circuitRef VARCHAR, name VARCHAR, location VARCHAR, country VARCHAR, lat VARCHAR, lng VARCHAR, alt VARCHAR, url VARCHAR);
CREATE TABLE constructorResults (constructorResultsId VARCHAR, raceId VARCHAR, constructorId VARCHAR, points VARCHAR, status VARCHAR);
CREATE TABLE construc... | [
[
"8517"
]
] |
vd_spider_formula_1_2 | spider_formula_1 | Spider | How many constructors have Belgian nationality? | Belgian constructors are stored with nationality = 'Belgium' (country name, not the demonym 'Belgian'). Note: drivers use 'Belgian' but constructors use 'Belgium'. | SELECT COUNT(*) FROM constructors WHERE nationality = 'Belgium' | CREATE TABLE circuits (circuitId VARCHAR, circuitRef VARCHAR, name VARCHAR, location VARCHAR, country VARCHAR, lat VARCHAR, lng VARCHAR, alt VARCHAR, url VARCHAR);
CREATE TABLE constructorResults (constructorResultsId VARCHAR, raceId VARCHAR, constructorId VARCHAR, points VARCHAR, status VARCHAR);
CREATE TABLE construc... | [
[
"1"
]
] |
vd_spider_formula_1_3 | spider_formula_1 | Spider | How many constructor championship result entries have been marked as disqualified? | Disqualified constructor results are flagged with status = 'D' (single letter code); the default non-disqualified value is the string 'NULL'. | SELECT COUNT(*) FROM constructorResults WHERE status = 'D' | CREATE TABLE circuits (circuitId VARCHAR, circuitRef VARCHAR, name VARCHAR, location VARCHAR, country VARCHAR, lat VARCHAR, lng VARCHAR, alt VARCHAR, url VARCHAR);
CREATE TABLE constructorResults (constructorResultsId VARCHAR, raceId VARCHAR, constructorId VARCHAR, points VARCHAR, status VARCHAR);
CREATE TABLE construc... | [
[
"17"
]
] |
vd_seaborn_titanic_manifest_1 | seaborn_titanic_manifest | seaborn-data | How many passengers boarded at Southampton? | Southampton is stored as single-letter code 'S' in the embarked column, not the full city name | SELECT COUNT(*) FROM passenger_manifest WHERE embarked = 'S' | CREATE TABLE embark_ports (embarked VARCHAR, embark_town VARCHAR);
CREATE TABLE passenger_manifest (passenger_id BIGINT, survived INTEGER, pclass INTEGER, sex VARCHAR, age DOUBLE, sibsp INTEGER, parch INTEGER, fare DOUBLE, embarked VARCHAR, passenger_class VARCHAR, who VARCHAR, adult_male BOOLEAN, deck VARCHAR, embark_... | [
[
"644"
]
] |
vd_seaborn_titanic_manifest_2 | seaborn_titanic_manifest | seaborn-data | What was the average fare paid by passengers who boarded at Cherbourg? | Cherbourg is stored as single-letter code 'C' in the embarked column, not the full city name | SELECT ROUND(AVG(fare),2) FROM passenger_manifest WHERE embarked = 'C' | CREATE TABLE embark_ports (embarked VARCHAR, embark_town VARCHAR);
CREATE TABLE passenger_manifest (passenger_id BIGINT, survived INTEGER, pclass INTEGER, sex VARCHAR, age DOUBLE, sibsp INTEGER, parch INTEGER, fare DOUBLE, embarked VARCHAR, passenger_class VARCHAR, who VARCHAR, adult_male BOOLEAN, deck VARCHAR, embark_... | [
[
"59.95"
]
] |
vd_seaborn_titanic_manifest_3 | seaborn_titanic_manifest | seaborn-data | What fraction of passengers who boarded at Queenstown survived? | Queenstown is stored as single-letter code 'Q' in the embarked column, not the full city name | SELECT ROUND(AVG(CAST(survived AS DOUBLE)),4) FROM passenger_manifest WHERE embarked = 'Q' | CREATE TABLE embark_ports (embarked VARCHAR, embark_town VARCHAR);
CREATE TABLE passenger_manifest (passenger_id BIGINT, survived INTEGER, pclass INTEGER, sex VARCHAR, age DOUBLE, sibsp INTEGER, parch INTEGER, fare DOUBLE, embarked VARCHAR, passenger_class VARCHAR, who VARCHAR, adult_male BOOLEAN, deck VARCHAR, embark_... | [
[
"0.3896"
]
] |
vd_seaborn_titanic_manifest_4 | seaborn_titanic_manifest | seaborn-data | How many children were on board the Titanic? | Children are stored as 'child' in the who column (not 'minor', 'boy', 'girl', or 'kid') | SELECT COUNT(*) FROM passenger_manifest WHERE who = 'child' | CREATE TABLE embark_ports (embarked VARCHAR, embark_town VARCHAR);
CREATE TABLE passenger_manifest (passenger_id BIGINT, survived INTEGER, pclass INTEGER, sex VARCHAR, age DOUBLE, sibsp INTEGER, parch INTEGER, fare DOUBLE, embarked VARCHAR, passenger_class VARCHAR, who VARCHAR, adult_male BOOLEAN, deck VARCHAR, embark_... | [
[
"83"
]
] |
vd_seaborn_penguin_biometry_1 | seaborn_penguin_biometry | seaborn-data | How many male penguins are in the dataset? | Sex values are stored in all-uppercase: 'MALE' and 'FEMALE', not lowercase 'male'/'female' | SELECT COUNT(*) FROM penguin_measurements WHERE sex = 'MALE' | CREATE TABLE islands (island_id BIGINT, island VARCHAR);
CREATE TABLE penguin_measurements (penguin_id BIGINT, species VARCHAR, island VARCHAR, bill_length_mm DOUBLE, bill_depth_mm DOUBLE, flipper_length_mm DOUBLE, body_mass_g DOUBLE, sex VARCHAR);
CREATE TABLE species (species_id BIGINT, species VARCHAR); | [
[
"168"
]
] |
vd_seaborn_penguin_biometry_2 | seaborn_penguin_biometry | seaborn-data | What is the average body mass of Gentoo penguins? | Species names use title case with exact spelling: 'Gentoo' (not 'gentoo' or 'GENTOO') | SELECT ROUND(AVG(body_mass_g),1) FROM penguin_measurements WHERE species = 'Gentoo' | CREATE TABLE islands (island_id BIGINT, island VARCHAR);
CREATE TABLE penguin_measurements (penguin_id BIGINT, species VARCHAR, island VARCHAR, bill_length_mm DOUBLE, bill_depth_mm DOUBLE, flipper_length_mm DOUBLE, body_mass_g DOUBLE, sex VARCHAR);
CREATE TABLE species (species_id BIGINT, species VARCHAR); | [
[
"5076.0"
]
] |
vd_seaborn_penguin_biometry_3 | seaborn_penguin_biometry | seaborn-data | What is the average bill length of Chinstrap penguins? | Species name stored as 'Chinstrap' (title case, one word — not 'chinstrap' or 'chin strap') | SELECT ROUND(AVG(bill_length_mm),2) FROM penguin_measurements WHERE species = 'Chinstrap' | CREATE TABLE islands (island_id BIGINT, island VARCHAR);
CREATE TABLE penguin_measurements (penguin_id BIGINT, species VARCHAR, island VARCHAR, bill_length_mm DOUBLE, bill_depth_mm DOUBLE, flipper_length_mm DOUBLE, body_mass_g DOUBLE, sex VARCHAR);
CREATE TABLE species (species_id BIGINT, species VARCHAR); | [
[
"48.83"
]
] |
vd_seaborn_diamond_prices_1 | seaborn_diamond_prices | seaborn-data | How many diamonds have a Very Good cut? | Cut grade stored as 'Very Good' (title case, two words with space — not 'very good', 'VeryGood', or 'VERY GOOD') | SELECT COUNT(*) FROM diamond_listings WHERE cut = 'Very Good' | CREATE TABLE clarity_grades (clarity VARCHAR);
CREATE TABLE color_grades (color VARCHAR);
CREATE TABLE cut_grades (cut VARCHAR);
CREATE TABLE diamond_listings (diamond_id BIGINT, carat DOUBLE, cut VARCHAR, color VARCHAR, clarity VARCHAR, depth DOUBLE, table_pct DOUBLE, price INTEGER, x_mm DOUBLE, y_mm DOUBLE, z_mm DOUB... | [
[
"12082"
]
] |
vd_seaborn_diamond_prices_2 | seaborn_diamond_prices | seaborn-data | What is the average price of internally flawless diamonds? | Internally Flawless clarity is stored as the two-letter abbreviation 'IF', not the full phrase 'Internally Flawless' | SELECT ROUND(AVG(price),2) FROM diamond_listings WHERE clarity = 'IF' | CREATE TABLE clarity_grades (clarity VARCHAR);
CREATE TABLE color_grades (color VARCHAR);
CREATE TABLE cut_grades (cut VARCHAR);
CREATE TABLE diamond_listings (diamond_id BIGINT, carat DOUBLE, cut VARCHAR, color VARCHAR, clarity VARCHAR, depth DOUBLE, table_pct DOUBLE, price INTEGER, x_mm DOUBLE, y_mm DOUBLE, z_mm DOUB... | [
[
"2864.84"
]
] |
vd_seaborn_exoplanet_discoveries_1 | seaborn_exoplanet_discoveries | seaborn-data | How many exoplanets were discovered using the radial velocity technique? | Radial velocity is stored as title-case 'Radial Velocity' (two words, not 'radial velocity', 'RV', or 'Radial velocity') | SELECT COUNT(*) FROM planet_discoveries WHERE method = 'Radial Velocity' | CREATE TABLE discovery_methods (method VARCHAR);
CREATE TABLE discovery_years (discovery_year INTEGER, discovery_rows BIGINT);
CREATE TABLE planet_discoveries (discovery_id BIGINT, method VARCHAR, planet_count INTEGER, orbital_period_days DOUBLE, mass_jupiter DOUBLE, distance_parsec DOUBLE, discovery_year INTEGER); | [
[
"553"
]
] |
vd_seaborn_exoplanet_discoveries_2 | seaborn_exoplanet_discoveries | seaborn-data | How many exoplanets were found via eclipse timing variations? | Eclipse timing variations stored as exact three-word title-case string 'Eclipse Timing Variations' (not 'ETV', 'eclipse timing', or 'eclipse timing variations') | SELECT COUNT(*) FROM planet_discoveries WHERE method = 'Eclipse Timing Variations' | CREATE TABLE discovery_methods (method VARCHAR);
CREATE TABLE discovery_years (discovery_year INTEGER, discovery_rows BIGINT);
CREATE TABLE planet_discoveries (discovery_id BIGINT, method VARCHAR, planet_count INTEGER, orbital_period_days DOUBLE, mass_jupiter DOUBLE, distance_parsec DOUBLE, discovery_year INTEGER); | [
[
"9"
]
] |
vd_seaborn_iris_morphology_1 | seaborn_iris_morphology | seaborn-data | What is the average sepal length for Iris setosa? | Iris species names are stored in all-lowercase: 'setosa', 'versicolor', 'virginica' (not title case 'Setosa' or full binomial 'iris setosa') | SELECT ROUND(AVG(sepal_length_cm),2) FROM iris_measurements WHERE species = 'setosa' | CREATE TABLE iris_measurements (flower_id BIGINT, sepal_length_cm DOUBLE, sepal_width_cm DOUBLE, petal_length_cm DOUBLE, petal_width_cm DOUBLE, species VARCHAR);
CREATE TABLE iris_species (species_id BIGINT, species VARCHAR); | [
[
"5.01"
]
] |
vd_adventureworkslt_1 | adventureworkslt | AdventureWorksLT | How many products are currently available for sale (not yet discontinued)? | Products still for sale have SellEndDate IS NULL; a naive guess of SellEndDate > CURRENT_DATE returns 0 because all SellEndDate values are historical dates — the sentinel for 'active' is a NULL, not a future date. | SELECT COUNT(*) FROM Product WHERE SellEndDate IS NULL | CREATE TABLE Address (AddressID BIGINT, AddressLine1 VARCHAR, AddressLine2 VARCHAR, City VARCHAR, StateProvince VARCHAR, CountryRegion VARCHAR, PostalCode VARCHAR, rowguid VARCHAR, ModifiedDate TIMESTAMP);
CREATE TABLE BuildVersion (SystemInformationID BIGINT, Database Version VARCHAR, VersionDate TIMESTAMP, ModifiedDa... | [
[
"197"
]
] |
vd_adventureworkslt_2 | adventureworkslt | AdventureWorksLT | How many product descriptions are available in English? | The Culture column stores language codes with trailing spaces padded to 6 characters: English is stored as 'en ' (2 chars + 4 spaces). Filtering on 'en' (no padding) returns 0. | SELECT COUNT(*) FROM ProductModelProductDescription WHERE Culture = 'en ' | CREATE TABLE Address (AddressID BIGINT, AddressLine1 VARCHAR, AddressLine2 VARCHAR, City VARCHAR, StateProvince VARCHAR, CountryRegion VARCHAR, PostalCode VARCHAR, rowguid VARCHAR, ModifiedDate TIMESTAMP);
CREATE TABLE BuildVersion (SystemInformationID BIGINT, Database Version VARCHAR, VersionDate TIMESTAMP, ModifiedDa... | [
[
"127"
]
] |
vd_adventureworkslt_3 | adventureworkslt | AdventureWorksLT | How many customer addresses are in the United Kingdom? | The country is stored as 'United Kingdom' in CountryRegion, not 'UK', 'GB', or 'England'. Using 'UK' returns 0. | SELECT COUNT(*) FROM Address WHERE CountryRegion = 'United Kingdom' | CREATE TABLE Address (AddressID BIGINT, AddressLine1 VARCHAR, AddressLine2 VARCHAR, City VARCHAR, StateProvince VARCHAR, CountryRegion VARCHAR, PostalCode VARCHAR, rowguid VARCHAR, ModifiedDate TIMESTAMP);
CREATE TABLE BuildVersion (SystemInformationID BIGINT, Database Version VARCHAR, VersionDate TIMESTAMP, ModifiedDa... | [
[
"40"
]
] |
vd_adventureworkslt_4 | adventureworkslt | AdventureWorksLT | How many products have a silver and black two-tone color finish? | Two-tone silver/black products are stored with Color = 'Silver/Black' (slash-separated compound value), not as 'Silver' or 'Black' separately. Filtering on 'Silver' OR 'Black' returns 125 (a completely different set). | SELECT COUNT(*) FROM Product WHERE Color = 'Silver/Black' | CREATE TABLE Address (AddressID BIGINT, AddressLine1 VARCHAR, AddressLine2 VARCHAR, City VARCHAR, StateProvince VARCHAR, CountryRegion VARCHAR, PostalCode VARCHAR, rowguid VARCHAR, ModifiedDate TIMESTAMP);
CREATE TABLE BuildVersion (SystemInformationID BIGINT, Database Version VARCHAR, VersionDate TIMESTAMP, ModifiedDa... | [
[
"7"
]
] |
vd_adventureworkslt_5 | adventureworkslt | AdventureWorksLT | How many customer-address records use 'Main Office' as the address type (i.e., the primary business address rather than a shipping location)? | The non-shipping address type is stored as 'Main Office', not 'Billing', 'Primary', or 'Home'. Filtering on 'Billing' returns 0. | SELECT COUNT(*) FROM CustomerAddress WHERE AddressType = 'Main Office' | CREATE TABLE Address (AddressID BIGINT, AddressLine1 VARCHAR, AddressLine2 VARCHAR, City VARCHAR, StateProvince VARCHAR, CountryRegion VARCHAR, PostalCode VARCHAR, rowguid VARCHAR, ModifiedDate TIMESTAMP);
CREATE TABLE BuildVersion (SystemInformationID BIGINT, Database Version VARCHAR, VersionDate TIMESTAMP, ModifiedDa... | [
[
"407"
]
] |
vd_world_cities_1 | world_cities | MySQL world sample DB | How many countries are located in the South-Eastern Asia subregion? | The subregion is stored as 'South-Eastern Asia' (hyphenated, with internal capital E). Common alternate spellings 'Southeast Asia' and 'Southeastern Asia' return 0. | SELECT COUNT(*) FROM countries WHERE subregion = 'South-Eastern Asia' | CREATE TABLE countries (id BIGINT, name VARCHAR, iso3 VARCHAR, iso2 VARCHAR, numeric_code VARCHAR, phonecode VARCHAR, capital VARCHAR, currency VARCHAR, currency_name VARCHAR, currency_symbol VARCHAR, tld VARCHAR, native VARCHAR, population BIGINT, gdp BIGINT, region VARCHAR, region_id BIGINT, subregion VARCHAR, subreg... | [
[
"11"
]
] |
vd_world_cities_2 | world_cities | MySQL world sample DB | How many administrative divisions (states) does the United Kingdom have in this dataset? | The United Kingdom's ISO 3166-1 alpha-2 code is 'GB', not 'UK'. Filtering on country_code = 'UK' returns 0. | SELECT COUNT(*) FROM states WHERE country_code = 'GB' | CREATE TABLE countries (id BIGINT, name VARCHAR, iso3 VARCHAR, iso2 VARCHAR, numeric_code VARCHAR, phonecode VARCHAR, capital VARCHAR, currency VARCHAR, currency_name VARCHAR, currency_symbol VARCHAR, tld VARCHAR, native VARCHAR, population BIGINT, gdp BIGINT, region VARCHAR, region_id BIGINT, subregion VARCHAR, subreg... | [
[
"221"
]
] |
vd_world_cities_3 | world_cities | MySQL world sample DB | How many German federal states (Lander) are recorded in the states table? | German administrative divisions are stored with type = 'land' (the German word), not 'state' or 'province'. Filtering on type = 'state' or 'province' returns 0. | SELECT COUNT(*) FROM states WHERE country_code = 'DE' AND type = 'land' | CREATE TABLE countries (id BIGINT, name VARCHAR, iso3 VARCHAR, iso2 VARCHAR, numeric_code VARCHAR, phonecode VARCHAR, capital VARCHAR, currency VARCHAR, currency_name VARCHAR, currency_symbol VARCHAR, tld VARCHAR, native VARCHAR, population BIGINT, gdp BIGINT, region VARCHAR, region_id BIGINT, subregion VARCHAR, subreg... | [
[
"16"
]
] |
vd_world_cities_4 | world_cities | MySQL world sample DB | How many countries use the Euro as their official currency? | Currency is stored as the ISO 4217 three-letter code 'EUR', not the spelled-out name 'Euro'. Filtering on currency = 'Euro' returns 0. | SELECT COUNT(*) FROM countries WHERE currency = 'EUR' | CREATE TABLE countries (id BIGINT, name VARCHAR, iso3 VARCHAR, iso2 VARCHAR, numeric_code VARCHAR, phonecode VARCHAR, capital VARCHAR, currency VARCHAR, currency_name VARCHAR, currency_symbol VARCHAR, tld VARCHAR, native VARCHAR, population BIGINT, gdp BIGINT, region VARCHAR, region_id BIGINT, subregion VARCHAR, subreg... | [
[
"36"
]
] |
vd_spider_department_store_1 | spider_department_store | Spider | How many customer orders are in a partially filled status? | The partially filled status is stored as the single concatenated token 'PartFilled', not 'Partial', 'Partially Filled', or 'Part Filled'. Naive guesses return 0. | SELECT COUNT(*) FROM Customer_Orders WHERE order_status_code = 'PartFilled' | CREATE TABLE Addresses (address_id VARCHAR, address_details VARCHAR);
CREATE TABLE Customers (customer_id VARCHAR, payment_method_code VARCHAR, customer_code VARCHAR, customer_name VARCHAR, customer_address VARCHAR, customer_phone VARCHAR, customer_email VARCHAR);
CREATE TABLE Customer_Addresses (customer_id VARCHAR, a... | [
[
"3"
]
] |
vd_spider_department_store_2 | spider_department_store | Spider | How many customers pay using direct debit? | The payment method is stored as 'Direct Debit' (two words, title case). A naive guess of 'Debit' or 'direct debit' returns 0. | SELECT COUNT(*) FROM Customers WHERE payment_method_code = 'Direct Debit' | CREATE TABLE Addresses (address_id VARCHAR, address_details VARCHAR);
CREATE TABLE Customers (customer_id VARCHAR, payment_method_code VARCHAR, customer_code VARCHAR, customer_name VARCHAR, customer_address VARCHAR, customer_phone VARCHAR, customer_email VARCHAR);
CREATE TABLE Customer_Addresses (customer_id VARCHAR, a... | [
[
"5"
]
] |
vd_spider_department_store_3 | spider_department_store | Spider | How many products belong to the clothing/apparel category? | Clothing products are stored with product_type_code = 'Clothes' (not 'Clothing' or 'Apparel'). Both of those naive guesses return 0. | SELECT COUNT(*) FROM Products WHERE product_type_code = 'Clothes' | CREATE TABLE Addresses (address_id VARCHAR, address_details VARCHAR);
CREATE TABLE Customers (customer_id VARCHAR, payment_method_code VARCHAR, customer_code VARCHAR, customer_name VARCHAR, customer_address VARCHAR, customer_phone VARCHAR, customer_email VARCHAR);
CREATE TABLE Customer_Addresses (customer_id VARCHAR, a... | [
[
"9"
]
] |
vd_spider_department_store_4 | spider_department_store | Spider | How many staff members are female? | Staff gender is encoded as a boolean string: '1' for male and '0' for female. Filtering on 'F' or 'Female' returns 0. | SELECT COUNT(*) FROM Staff WHERE staff_gender = '0' | CREATE TABLE Addresses (address_id VARCHAR, address_details VARCHAR);
CREATE TABLE Customers (customer_id VARCHAR, payment_method_code VARCHAR, customer_code VARCHAR, customer_name VARCHAR, customer_address VARCHAR, customer_phone VARCHAR, customer_email VARCHAR);
CREATE TABLE Customer_Addresses (customer_id VARCHAR, a... | [
[
"1"
]
] |
vd_spider_cre_theme_park_1 | spider_cre_theme_park | Spider | How many five-star hotels are there? | Star rating is stored as the digit string (e.g. '5'), not the word 'five' or 'Five Star' | SELECT COUNT(*) FROM Hotels WHERE star_rating_code = '5' | CREATE TABLE Features (Feature_ID VARCHAR, Feature_Details VARCHAR);
CREATE TABLE Hotels (hotel_id VARCHAR, star_rating_code VARCHAR, pets_allowed_yn VARCHAR, price_range VARCHAR, other_hotel_details VARCHAR);
CREATE TABLE Locations (Location_ID VARCHAR, Location_Name VARCHAR, Address VARCHAR, Other_Details VARCHAR);
C... | [
[
"9"
]
] |
vd_spider_cre_theme_park_2 | spider_cre_theme_park | Spider | How many hotels allow pets? | pets_allowed_yn uses '1' for yes (boolean encoded as char), not 'Y' or 'yes' | SELECT COUNT(*) FROM Hotels WHERE pets_allowed_yn = '1' | CREATE TABLE Features (Feature_ID VARCHAR, Feature_Details VARCHAR);
CREATE TABLE Hotels (hotel_id VARCHAR, star_rating_code VARCHAR, pets_allowed_yn VARCHAR, price_range VARCHAR, other_hotel_details VARCHAR);
CREATE TABLE Locations (Location_ID VARCHAR, Location_Name VARCHAR, Address VARCHAR, Other_Details VARCHAR);
C... | [
[
"13"
]
] |
vd_spider_cre_theme_park_3 | spider_cre_theme_park | Spider | How many tourist attractions are classified as museums? | The museum type is stored as code '9' in Attraction_Type_Code (requires joining Ref_Attraction_Types or inspecting data); naive text 'museum' fails | SELECT COUNT(*) FROM Tourist_Attractions WHERE Attraction_Type_Code = '9' | CREATE TABLE Features (Feature_ID VARCHAR, Feature_Details VARCHAR);
CREATE TABLE Hotels (hotel_id VARCHAR, star_rating_code VARCHAR, pets_allowed_yn VARCHAR, price_range VARCHAR, other_hotel_details VARCHAR);
CREATE TABLE Locations (Location_ID VARCHAR, Location_Name VARCHAR, Address VARCHAR, Other_Details VARCHAR);
C... | [
[
"3"
]
] |
vd_spider_college_2_1 | spider_college_2 | Spider | How many grade records correspond to a plain A (not A+ or A-)? | Plain A is stored as 'A ' (A followed by a trailing space), not 'A'; querying exact 'A' returns zero | SELECT COUNT(*) FROM takes WHERE grade = 'A ' | CREATE TABLE advisor (s_ID VARCHAR, i_ID VARCHAR);
CREATE TABLE classroom (building VARCHAR, room_number VARCHAR, capacity VARCHAR);
CREATE TABLE course (course_id VARCHAR, title VARCHAR, dept_name VARCHAR, credits VARCHAR);
CREATE TABLE department (dept_name VARCHAR, building VARCHAR, budget VARCHAR);
CREATE TABLE ins... | [
[
"3318"
]
] |
vd_spider_college_2_2 | spider_college_2 | Spider | How many courses are offered by the Computer Science department? | Computer Science is stored as abbreviated 'Comp. Sci.' (with periods and space), not the full name | SELECT COUNT(*) FROM course WHERE dept_name = 'Comp. Sci.' | CREATE TABLE advisor (s_ID VARCHAR, i_ID VARCHAR);
CREATE TABLE classroom (building VARCHAR, room_number VARCHAR, capacity VARCHAR);
CREATE TABLE course (course_id VARCHAR, title VARCHAR, dept_name VARCHAR, credits VARCHAR);
CREATE TABLE department (dept_name VARCHAR, building VARCHAR, budget VARCHAR);
CREATE TABLE ins... | [
[
"10"
]
] |
vd_spider_college_2_3 | spider_college_2 | Spider | How many time slots meet on Thursdays? | Thursday is encoded as single letter 'R' (common academic scheduling abbreviation), not 'Th' or 'Thu' | SELECT COUNT(*) FROM time_slot WHERE day = 'R' | CREATE TABLE advisor (s_ID VARCHAR, i_ID VARCHAR);
CREATE TABLE classroom (building VARCHAR, room_number VARCHAR, capacity VARCHAR);
CREATE TABLE course (course_id VARCHAR, title VARCHAR, dept_name VARCHAR, credits VARCHAR);
CREATE TABLE department (dept_name VARCHAR, building VARCHAR, budget VARCHAR);
CREATE TABLE ins... | [
[
"2"
]
] |
vd_spider_college_3_1 | spider_college_3 | Spider | How many faculty members hold the rank of Associate Professor? | Associate Professor is stored as concatenated abbreviation 'AssocProf' (no space/period), not 'Associate Professor' or 'Assoc. Prof.' | SELECT COUNT(*) FROM Faculty WHERE Rank = 'AssocProf' | CREATE TABLE Course (CID VARCHAR, CName VARCHAR, Credits VARCHAR, Instructor VARCHAR, Days VARCHAR, Hours VARCHAR, DNO VARCHAR);
CREATE TABLE Department (DNO VARCHAR, Division VARCHAR, DName VARCHAR, Room VARCHAR, Building VARCHAR, DPhone VARCHAR);
CREATE TABLE Enrolled_in (StuID VARCHAR, CID VARCHAR, Grade VARCHAR);
C... | [
[
"8"
]
] |
vd_spider_college_3_2 | spider_college_3 | Spider | How many students are majoring in Computer Science? | Major is stored as the department number code ('600' for Computer Science), not the department name string | SELECT COUNT(*) FROM Student WHERE Major = '600' | CREATE TABLE Course (CID VARCHAR, CName VARCHAR, Credits VARCHAR, Instructor VARCHAR, Days VARCHAR, Hours VARCHAR, DNO VARCHAR);
CREATE TABLE Department (DNO VARCHAR, Division VARCHAR, DName VARCHAR, Room VARCHAR, Building VARCHAR, DPhone VARCHAR);
CREATE TABLE Enrolled_in (StuID VARCHAR, CID VARCHAR, Grade VARCHAR);
C... | [
[
"18"
]
] |
vd_spider_e_government_1 | spider_e_government | Spider | How many party form submissions have been fully completed? | Completed status is stored as title-case 'Completed', not uppercase 'COMPLETED' or lowercase 'completed' | SELECT COUNT(*) FROM Party_Forms WHERE form_status_code = 'Completed' | CREATE TABLE Addresses (address_id VARCHAR, line_1_number_building VARCHAR, town_city VARCHAR, zip_postcode VARCHAR, state_province_county VARCHAR, country VARCHAR);
CREATE TABLE Forms (form_id VARCHAR, form_type_code VARCHAR, service_id VARCHAR, form_number VARCHAR, form_name VARCHAR, form_description VARCHAR);
CREATE... | [
[
"2"
]
] |
vd_spider_e_government_2 | spider_e_government | Spider | How many parties pay by direct debit? | Direct Debit is stored as two title-case words 'Direct Debit' (with space), not 'direct debit' or 'DirectDebit' | SELECT COUNT(*) FROM Parties WHERE payment_method_code = 'Direct Debit' | CREATE TABLE Addresses (address_id VARCHAR, line_1_number_building VARCHAR, town_city VARCHAR, zip_postcode VARCHAR, state_province_county VARCHAR, country VARCHAR);
CREATE TABLE Forms (form_id VARCHAR, form_type_code VARCHAR, service_id VARCHAR, form_number VARCHAR, form_name VARCHAR, form_description VARCHAR);
CREATE... | [
[
"2"
]
] |
vd_spider_behavior_monitoring_1 | spider_behavior_monitoring | Spider | How many behavior incidents were of the violence type? | incident_type_code stores uppercase identifiers: 'VIOLENCE', 'NOISE', 'DISTURB' — naive lowercase 'violence' returns nothing | SELECT COUNT(*) FROM Behavior_Incident WHERE incident_type_code = 'VIOLENCE' | CREATE TABLE Addresses (address_id VARCHAR, line_1 VARCHAR, line_2 VARCHAR, line_3 VARCHAR, city VARCHAR, zip_postcode VARCHAR, state_province_county VARCHAR, country VARCHAR, other_address_details VARCHAR);
CREATE TABLE Assessment_Notes (notes_id VARCHAR, student_id VARCHAR, teacher_id VARCHAR, date_of_notes VARCHAR, ... | [
[
"6"
]
] |
vd_spider_behavior_monitoring_2 | spider_behavior_monitoring | Spider | How many detentions were of the 'during break time' type? | The break-time detention type code is 'BREAK ' (6 characters, with a trailing space). 'BREAK' without the space returns 0 rows. | SELECT COUNT(*) FROM Detention WHERE detention_type_code = 'BREAK ' | CREATE TABLE Addresses (address_id VARCHAR, line_1 VARCHAR, line_2 VARCHAR, line_3 VARCHAR, city VARCHAR, zip_postcode VARCHAR, state_province_county VARCHAR, country VARCHAR, other_address_details VARCHAR);
CREATE TABLE Assessment_Notes (notes_id VARCHAR, student_id VARCHAR, teacher_id VARCHAR, date_of_notes VARCHAR, ... | [
[
"6"
]
] |
vd_spider_behavior_monitoring_3 | spider_behavior_monitoring | Spider | How many male teachers are there? | gender is encoded as '1' (male) and '0' (female), not the expected 'M'/'F' letters. Naive 'M' returns 0. | SELECT COUNT(*) FROM Teachers WHERE gender = '1' | CREATE TABLE Addresses (address_id VARCHAR, line_1 VARCHAR, line_2 VARCHAR, line_3 VARCHAR, city VARCHAR, zip_postcode VARCHAR, state_province_county VARCHAR, country VARCHAR, other_address_details VARCHAR);
CREATE TABLE Assessment_Notes (notes_id VARCHAR, student_id VARCHAR, teacher_id VARCHAR, date_of_notes VARCHAR, ... | [
[
"10"
]
] |
vd_spider_cre_doc_control_systems_1 | spider_cre_doc_control_systems | Spider | How many documents currently have an overdue status? | document_status_code stores lowercase values: 'overdue', 'done', 'working'. Naive 'Overdue' (capitalized) returns 0. | SELECT COUNT(*) FROM Documents WHERE document_status_code = 'overdue' | CREATE TABLE Addresses (address_id VARCHAR, address_details VARCHAR);
CREATE TABLE Circulation_History (document_id VARCHAR, draft_number VARCHAR, copy_number VARCHAR, employee_id VARCHAR);
CREATE TABLE Documents (document_id VARCHAR, document_status_code VARCHAR, document_type_code VARCHAR, shipping_agent_code VARCHAR... | [
[
"4"
]
] |
vd_spider_cre_doc_control_systems_2 | spider_cre_doc_control_systems | Spider | How many documents were shipped via FedEx? | FedEx is stored as the 2-letter code 'FE' in shipping_agent_code, not the full name 'FedEx'. Naive 'FedEx' returns 0. | SELECT COUNT(*) FROM Documents WHERE shipping_agent_code = 'FE' | CREATE TABLE Addresses (address_id VARCHAR, address_details VARCHAR);
CREATE TABLE Circulation_History (document_id VARCHAR, draft_number VARCHAR, copy_number VARCHAR, employee_id VARCHAR);
CREATE TABLE Documents (document_id VARCHAR, document_status_code VARCHAR, document_type_code VARCHAR, shipping_agent_code VARCHAR... | [
[
"4"
]
] |
vd_spider_cre_doc_control_systems_3 | spider_cre_doc_control_systems | Spider | How many employees have the editor role? | Editor role is stored as the 2-letter code 'ED', not 'Editor'. Naive 'Editor' returns 0. | SELECT COUNT(*) FROM Employees WHERE role_code = 'ED' | CREATE TABLE Addresses (address_id VARCHAR, address_details VARCHAR);
CREATE TABLE Circulation_History (document_id VARCHAR, draft_number VARCHAR, copy_number VARCHAR, employee_id VARCHAR);
CREATE TABLE Documents (document_id VARCHAR, document_status_code VARCHAR, document_type_code VARCHAR, shipping_agent_code VARCHAR... | [
[
"2"
]
] |
vd_spider_cre_doc_tracking_db_1 | spider_cre_doc_tracking_db | Spider | How many documents are of the book type? | Book type is stored as the 2-letter code 'BK', not 'Book'. Naive 'Book' returns 0. | SELECT COUNT(*) FROM All_Documents WHERE Document_Type_Code = 'BK' | CREATE TABLE All_Documents (Document_ID VARCHAR, Date_Stored VARCHAR, Document_Type_Code VARCHAR, Document_Name VARCHAR, Document_Description VARCHAR, Other_Details VARCHAR);
CREATE TABLE Documents_to_be_Destroyed (Document_ID VARCHAR, Destruction_Authorised_by_Employee_ID VARCHAR, Destroyed_by_Employee_ID VARCHAR, Pla... | [
[
"5"
]
] |
vd_spider_cre_doc_tracking_db_2 | spider_cre_doc_tracking_db | Spider | How many document location records are for documents stored in Xiamen? | Xiamen is stored as the single lowercase letter 'x' in Location_Code. Naive 'Xiamen' returns 0. | SELECT COUNT(*) FROM Document_Locations WHERE Location_Code = 'x' | CREATE TABLE All_Documents (Document_ID VARCHAR, Date_Stored VARCHAR, Document_Type_Code VARCHAR, Document_Name VARCHAR, Document_Description VARCHAR, Other_Details VARCHAR);
CREATE TABLE Documents_to_be_Destroyed (Document_ID VARCHAR, Destruction_Authorised_by_Employee_ID VARCHAR, Destroyed_by_Employee_ID VARCHAR, Pla... | [
[
"5"
]
] |
vd_tpcds_sf001_1 | tpcds_sf001 | TPC-DS | How many customer demographic records belong to divorced customers? | cd_marital_status uses single-letter codes: 'D'=Divorced, 'M'=Married, 'S'=Single, 'W'=Widowed, 'U'=Unknown. Naive 'divorced' (lowercase) returns 0. | SELECT COUNT(*) FROM customer_demographics WHERE cd_marital_status = 'D' | CREATE TABLE call_center (cc_call_center_sk BIGINT, cc_call_center_id VARCHAR, cc_rec_start_date DATE, cc_rec_end_date DATE, cc_closed_date_sk BIGINT, cc_open_date_sk BIGINT, cc_name VARCHAR, cc_class VARCHAR, cc_employees BIGINT, cc_sq_ft BIGINT, cc_hours VARCHAR, cc_manager VARCHAR, cc_mkt_id BIGINT, cc_mkt_class VAR... | [
[
"3842"
]
] |
vd_tpcds_sf001_2 | tpcds_sf001 | TPC-DS | How many customers are marked as preferred customers? | c_preferred_cust_flag uses single-character string 'Y'/'N' flags, not boolean true/1/yes. Naive 'yes' returns 0. | SELECT COUNT(*) FROM customer WHERE c_preferred_cust_flag = 'Y' | CREATE TABLE call_center (cc_call_center_sk BIGINT, cc_call_center_id VARCHAR, cc_rec_start_date DATE, cc_rec_end_date DATE, cc_closed_date_sk BIGINT, cc_open_date_sk BIGINT, cc_name VARCHAR, cc_class VARCHAR, cc_employees BIGINT, cc_sq_ft BIGINT, cc_hours VARCHAR, cc_manager VARCHAR, cc_mkt_id BIGINT, cc_mkt_class VAR... | [
[
"480"
]
] |
Cleo Value-Discovery Benchmark
A small (66-question), held-out benchmark for a failure mode that ordinary text-to-SQL evaluations miss: questions whose correct SQL depends on a literal that lives in the data, not the schema.
The schema tells you a column is named status; only the data reveals its values are {'O','C','X'}.
The schema shows to_date; only the data reveals that "current" is encoded as the sentinel
'9999-01-01'. A one-shot text-to-SQL model has to guess these literals, and a wrong guess returns
the wrong rows — often silently (an empty result, or a plausible-but-wrong count). This benchmark
isolates that gap: a model must discover the value (by inspecting the data) to answer correctly.
It is the evaluation suite used to measure dreeseaw/cleo, a 2B
tool-using SQL analyst. On this suite a one-shot baseline scores 13.6%; the tool-using model scores
51.5%.
What's in each row
| field | description |
|---|---|
id |
unique question id |
db_id |
source database identifier |
source |
upstream database the schema comes from (see Provenance) |
question |
the natural-language question |
convention |
the value-discovery annotation — the real stored value/code/convention the answer hinges on (e.g. "Current assignment is indicated by to_date = '9999-01-01'") |
gold_sql |
reference read-only SQL |
schema_ddl |
CREATE TABLE DDL for the tables involved (self-contained) |
canonical_rows |
the gold answer (denotation) — execute gold_sql and you should get these rows |
How to use it
Score by denotation, not string match: run a model's SQL and the gold_sql, compare the row-sets
(order-insensitive). A prediction is correct iff it returns the same rows as canonical_rows.
from datasets import load_dataset
ds = load_dataset("dreeseaw/cleo-value-discovery", split="train")
ex = ds[0]
print(ex["question"]) # "How many employees are currently assigned to each department?"
print(ex["convention"]) # "Current assignment is indicated by to_date = '9999-01-01' ..."
print(ex["gold_sql"])
The convention field is provided for analysis (it's the thing a model must discover) — do not feed it
to the model if you're measuring value-discovery.
Provenance & attribution
The questions, the convention annotations, and the gold SQL are original to this benchmark. The
database schemas are derived from public datasets and are referenced, not redistributed wholesale —
only the small CREATE TABLE DDL and the gold answer rows are included:
| source | questions |
|---|---|
| Spider | 35 |
| seaborn-data | 12 |
| AdventureWorksLT (Microsoft sample) | 5 |
MySQL employees sample DB |
4 |
MySQL world sample DB |
4 |
| TPC-H | 4 |
| TPC-DS | 2 |
This benchmark contains no SynSQL data. (SynSQL was used elsewhere in Cleo's training; it is referenced there, not copied, and none of it appears here.)
License
Released under CC BY-SA 4.0, the share-alike license of the largest upstream source (Spider). Please attribute both this benchmark and the upstream schema sources above.
Citation
@misc{cleo_value_discovery_2026,
title = {Cleo Value-Discovery Benchmark},
author = {Dreeseaw},
year = {2026},
url = {https://huggingface.co/datasets/dreeseaw/cleo-value-discovery}
}
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